From ludovico.montalcini at gmail.com Tue Mar 1 05:38:01 2022 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 1 Mar 2022 11:38:01 +0100 Subject: Connectionists: CfP: The 8th Int. Online & Onsite Conf. on Machine Learning, Optimization & Data Science - LOD 2022, September 18-22, Certosa di Pontignano, Tuscany - Italy - Paper Submission Deadline: March 23 In-Reply-To: References: Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks! -- The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science ? #LOD2022 - September 18-22, Certosa di Pontignano, #Tuscany - Italy LOD 2022, An Interdisciplinary Conference: #MachineLearning, #Optimization, #BigData & #ArtificialIntelligence, #DeepLearning without Borders https://lod2022.icas.cc lod at icas.cc PAPERS SUBMISSION: March 23 (Anywhere on Earth) All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2022 LOD 2022 KEYNOTE SPEAKER(S): * Pierre Baldi, University of California Irvine, USA * J?rgen Bajorath, University of Bonn, Germany LOD 2022 TUTORIAL SPEAKER: * Simone Scardapane, University of Rome "La Sapienza", Italy ACAIN 2022 KEYNOTE SPEAKERS: * Marvin M. Chun, Yale University, USA * Ila Fiete, MIT, USA * Karl Friston, University College London, UK & Wellcome Trust Centre for Neuroimaging * Wulfram Gerstner, EPFL, Switzerland * M?t? Lengyel, Cambridge University, UK * Max Erik Tegmark, MIT, USA & Future of Life Institute * Michail Tsodyks, Institute for Advanced Study, USA More Lecturers and Speakers to be announced soon! https://acain2022.artificial-intelligence-sas.org/course-lecturers/ PAPER FORMAT: Please prepare your paper using the Springer Nature ? Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2022, authors are required to select one of the following four types of papers: * long paper: original novel and unpublished work (max. 15 pages in Springer LNCS format); * short paper: an extended abstract of novel work (max. 5 pages); * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; * abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant, and which may solicit fruitful discussion at the conference. Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments. Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact. It is also possible to present the talk virtually (Zoom). LOD 2022 Special Sessions: https://lod2022.icas.cc/special-sessions/ https://easychair.org/my/conference?conf=lod2022 PAST LOD KEYNOTE SPEAKERS: https://lod2022.icas.cc/past-keynote-speakers/ Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA) & University of Montreal, Canada Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum Institute for the Networked Society, Germany J?rg Bornschein, DeepMind, London, UK Michael Bronstein, Imperial College London, UK Nello Cristianini, University of Bristol, UK Peter Flach, University of Bristol, UK, and EiC of the Machine Learning Journal Marco Gori, University of Siena, Italy Arthur Gretton, UCL, UK Arthur Guez, Google DeepMind, Montreal, UK Yi-Ke Guo, Imperial College London, UK George Karypis, University of Minnesota, USA Vipin Kumar, University of Minnesota, USA Marta Kwiatkowska, University of Oxford, UK George Michailidis, University of Florida, USA Kaisa Miettinen, University of Jyv?skyl?, Finland Stephen Muggleton, Imperial College London, UK Panos Pardalos, University of Florida, USA Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany Tomaso Poggio, MIT, USA Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia Mauricio G. C. Resende, Amazon.com Research and University of Washington Seattle, Washington, USA Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at Apple Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa Richard E. Turner, Department of Engineering, University of Cambridge, UK Ruth Urner, York University, Toronto, Canada Isabel Valera, Saarland University, Saarbr?cken & Max Planck Institute for Intelligent Systems, T?bingen, Germany TRACKS & SPECIAL SESSIONS: https://lod2022.icas.cc/special-sessions/ BEST PAPER AWARD: Springer sponsors the LOD 2022 Best Paper Award https://lod2022.icas.cc/best-paper-award/ PROGRAM COMMITTEE: https://lod2022.icas.cc/program-committee/ VENUE: https://lod2022.icas.cc/venue/ The venue of LOD 2022 will be The Certosa di Pontignano ? Siena The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php Contact person: Dr. Lorenzo Pasquinuzzi You need to book your accommodation at the venue and pay the amount for accommodation directly to the Certosa di Pontignano. ACTIVITIES: https://lod2022.icas.cc/activities/ POSTER: https://lod2022.icas.cc/wp-content/uploads/sites/20/2022/02/poster-LOD-2022-1.png Submit your research work today! https://easychair.org/conferences/?conf=lod2022 See you in the beautiful Tuscany in September! Best regards, LOD 2022 Organizing Committee LOD 2022 NEWS: https://lod2022.icas.cc/category/news/ Past Editions https://lod2022.icas.cc/past-editions/ LOD 2021, The Seventh International Conference on Machine Learning, Optimization and Big Data Grasmere ? Lake District ? England, UK. Nature Springer ? LNCS volumes 13163 and 13164. LOD 2020, The Sixth International Conference on Machine Learning, Optimization and Big Data Certosa di Pontignano ? Siena ? Tuscany ? Italy. Nature Springer ? LNCS volumes 12565 and 12566. LOD 2019, The Fifth International Conference on Machine Learning, Optimization and Big Data Certosa di Pontignano ? Siena ? Tuscany ? Italy. Nature Springer ? LNCS volume 11943. LOD 2018, The Fourth International Conference on Machine Learning, Optimization and Big Data Volterra ? Tuscany ? Italy. Nature Springer ? LNCS volume 11331. MOD 2017, The Third International Conference on Machine Learning, Optimization and Big Data Volterra ? Tuscany ? Italy. Springer ? LNCS volume 10710. MOD 2016, The Second International Workshop on Machine learning, Optimization and big Data Volterra ? Tuscany ? Italy. Springer ? LNCS volume 10122. MOD 2015, International Workshop on Machine learning, Optimization and big Data Taormina ? Sicily ? Italy. Springer ? LNCS volume 9432. https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ lod at icas.cc https://lod2022.icas.cc * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Mar 1 05:17:49 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 1 Mar 2022 11:17:49 +0100 Subject: Connectionists: CFP COMPLEX NETWORKS 2022 Palermo Italy November 08 -10, 2022 Message-ID: *11th** International Conference on Complex Networks & Their Applications* *Palermo, Italy *November 08 - 10, 2022 COMPLEX NETWORKS 2022 You are cordially invited to submit your contribution until *June 07, 2022*. *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Tue Mar 1 07:09:56 2022 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Tue, 1 Mar 2022 21:09:56 +0900 Subject: Connectionists: CfP: Brain Informatics 2022 (April 1, Submission Due) Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 15th International Conference on Brain Informatics (BI'22) July 15-17, 2022 A Hybrid Conference with both Online and Offline Modes Co-hosted by University of Padua & University of Queensland Padova, Italy (In-Person) & Queensland, Australia (Online) Homepage: wi-consortium.org/conferences/bi2022/ The key theme: Brain Science meets Artificial Intelligence Celebrating the University of Padua's 800 years birthday +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - March 15, 2022: Workshop/Special Session proposal deadline - April 1, 2022 (extended): Paper ( Regular and Short ) submission deadline The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 15th International Conference on Brain Informatics (BI'22) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'22 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing *** Paper Submission and Publications *** Paper Submission ( Regular and Short ): ----------------- Main Conference On-Line Paper Submission: https://wi-lab.com/cyberchair/2022/bi22/scripts/submit.php?subarea=B WS/SS On-line Paper Submission: https://wi-lab.com/cyberchair/2022/bi22/scripts/ws_submit.php?subarea=S ----------------- Full papers should be limited to (10 to 12 pages) for the regular papers and (6 to 9 pages) for the short papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines ). Additional pages will be charged. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Abstract Submission (Only for Workshops/Special Sessions): -------------------- Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: ---------------------- High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal ( https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Special Issues & Books: ----------------------- Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: --------------------- BI'22 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: ----------------------- A workshop/special session typically takes a half-day (or full-day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: -------------------- Each proposal should include 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. Publications: ------------- Accepted workshop and special session full papers will be published at the same BI proceedings at the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series, or a special issue at the Brain Informatics Journal. *** IMPORTANT DATES *** - March 15, 2022: Workshop/Special Session proposal deadline - April 1, 2022 (extended): Paper (Regular and Short) submission deadline - May 13, 2022: Paper acceptance notification - May 20, 2022: Final paper submission deadline - Jun 3, 2022: Accepted paper and abstract registration deadline - July 15-17, 2022: Conference Organizing Committee ++++++++++++++++++++++ Advisory Board Chair: Ning Zhong (Maebashi Institute of Technology, Japan) * Maurizio Corbetta (Padua Neuroscience Center & University of Padova, Italy) * Tianzi Jiang (Institute of Automation, CAS, China) * Nikola Kasabov (Auckland University of Technology, New Zealand) * Peipeng Liang (CNU School of Psychology, China) * Hesheng Liu (Harvard Medical School & Massachusetts General Hospital, USA) * Guoming Luan (Sanbo Brain Hospital, China) * Stefano Panzeri (University Medical Center Hamburg-Eppendorf, Germany) * Hanchuan Peng (SEU-Allen Institute for Brain & Intelligence, China) * Shinsuke Shimojo (California Institute of Technology, USA) General Chairs * Mufti Mahmud (Nottingham Trent University, UK) * Stefano Vassanelli (University of Padova, Italy) * Andre van Zundert (University of Queensland, Australia) Program Chairs * Alessandra Bertoldo (University of Padova, Italy) * Gopikrishna Deshpande (Auburn University, USA) * Jing He (University of Queensland, Australia) Publication Chair * Can Wang (Griffith University, Australia) Workshop/Special Session/Tutorial Chairs * Alessia Sarica (Magna Graecia University, Italy) * Xiaohui Tao (University of Southern Queensland, Australia) * Alberto Testolin (University of Padova, Italy) * Vassiliy Tsytsarev (University of Maryland, USA) * Juan Velasquez (University of Chile, Chile) * Vicky Yamamoto (USC Keck School of Medicine, USA) * Yang Yang (BFU Department of Psychology, China) Local Organization Chairs * Michele Allegra (University of Padova, Italy) * Claudia Cecchetto (University of Padova, Italy) * Daniela Pietrobon (University of Padova, Italy) * Samir Suweis (University of Padova, Italy) * Mattia Tambaro (University of Padova, Italy) Publicity Chairs * Abzetdin Adamov (ADA University, Azerbaijan) * M Shamim Kaiser (Jahangirnagar University, Bangladesh) * Hongzhi Kuai (Maebashi Institute of Technology, Japan) * Francesco Morabito (Mediterranean University of Reggio Calabria, Italy) * Yanqing Zhang (Georgia State University, USA) Contact Us: http://wi-consortium.org/conferences/bi2022/contact.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From aconst12 at cs.ucy.ac.cy Tue Mar 1 09:46:23 2022 From: aconst12 at cs.ucy.ac.cy (Argyris Constantinides) Date: Tue, 1 Mar 2022 16:46:23 +0200 Subject: Connectionists: Workshop on Adaptive and Personalized Privacy and Security (APPS 2022) - ACM UMAP Workshop Message-ID: Workshop on Adaptive and Personalized Privacy and Security (APPS 2022) - ACM UMAP Workshop CALL FOR PAPERS The Fourth International Workshop on Adaptive and Personalized Privacy and Security, in conjunction with the 30th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2022), held both virtually and physically from Barcelona, Spain, July 04-07, 2022 Workshop Website: http://appsworkshop.cs.ucy.ac.cy Paper Submissions in EasyChair by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=umap22 IMPORTANT DATES Paper submission: April 15, 2022 (23:59 AoE time) Notification to authors: May 11, 2022 Camera-ready version of accepted papers: May 18, 2022 MOTIVATION & GOALS Millions of users across different continents and countries are daily engaged with privacy and security tasks which are indispensable in modern information systems and services. Such tasks are commonly related to user authentication, human interaction proofs (e.g., captcha), privacy and security pop-up dialogs, setting privacy and security features within online user profiles, etc. Recent privacy and security incidents of famous online services have once more underpinned the necessity towards further investigating and improving current approaches and practices related to the design of efficient and effective privacy and security. In order to achieve this objective, one possible direction is related to providing adaptive and personalized characteristics to privacy- and security-related user tasks, given the diversity of the user characteristics (like cultural, cognitive, age, habits), the technology (like standalone, mobile, mixed-virtual-augmented reality, wearables) and interaction contexts of use (like being on the move, social settings, spatial limitations). Hence, adaptive and personalized privacy and security implies the ability of an interactive system or service to support its end-users, who are engaged in privacy- and/or security-related tasks, based on user models which describe in a holistic way what constitutes the user?s physical, technological and interaction context in which computation takes place. APPS 2022 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles. Our special focus in 2022 will be on challenges and opportunities related to the security and privacy of remote activities (e.g., remote work environments, distance learning). The workshop will address the following objectives: - increase our understanding and knowledge on supporting usable privacy and security interaction design through novel user modeling mechanisms and adaptive user interfaces; - discuss methods and techniques for understanding user attitudes and perceptions towards privacy and security issues in various application areas; - identify human-centered models for the design, development and evaluation of adaptive and personalized privacy and security systems; - discuss methods for evaluating the impact and added value of adaptation and personalization in privacy and security systems. TOPICS OF INTEREST Topics of interest include, but are not limited to: - Adaptation and personalization approaches in usable privacy and security - Effects of human factors (e.g., cognition, personality, etc.) in privacy and security systems - Novel user interaction concepts and user interfaces for achieving usable security - Cultural diversity in usable privacy and security - Context-aware privacy and security - Adaptive usable security in various domains (e.g., e-Learning, e-Government, IoT, healthcare, etc.) - Adaptive user authentication policies - Novel approaches to the design and evaluation of usable security systems - Privacy and security in smart patient-centric healthcare systems - Novel approaches to the design and evaluation of usable security systems - Lessons learned from the deployment and use of usable privacy and security features - Ethical considerations in adaptive and personalized privacy and security PAPER SUBMISSION & PUBLICATION All workshop papers must contain original, previously unpublished, research work adhering the two publication types: - Full research papers (8-14 pages, excl. references), proposing new approaches, innovative methods and research findings. - Short research papers (up to 7 pages, excl. references), presenting works in progress, lessons learned, emerging or future research issues and directions on topics related to APPS. Manuscripts should be formatted according to the new workflow and template for ACM publications (https://www.acm.org/publications/taps/word-template-workflow). Please submit your paper through the EasyChair submission system by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=umap22 Accepted papers will be published by the ACM and will be available via the ACM Digital Library. ORGANIZING COMMITTEE Argyris Constantinides, Cognitive UX LTD, CY & University of Cyprus, CY Marios Belk, Cognitive UX GmbH, DE & University of Cyprus, CY Christos Fidas, University of Patras, GR Juliana Bowles, University of St. Andrews, UK Andreas Pitsillides, University of Cyprus, CY From crystallantz at gmail.com Tue Mar 1 14:03:55 2022 From: crystallantz at gmail.com (Crystal Lantz) Date: Tue, 1 Mar 2022 14:03:55 -0500 Subject: Connectionists: NINDS, NIH BRAIN Initiative: Program Director Position Message-ID: The Brain Research through Advancing Innovative Neurotechnologies? Initiative (BRAIN Initiative), along with the NINDS Division of Neuroscience, is seeking exceptional candidates for the position of *Neurotechnology Program Director *(Health Scientist Administrator -13/14 or 15). This is a unique opportunity to advance the Neurotechnology portfolio for the BRAIN Initiative, a historic multi-billion-dollar effort to transform neuroscience by developing the technologies of the future. It offers collaborations with highly motivated, skilled, and scientifically curious colleagues from 10 NIH Institutes and Centers and from partner agencies such as NSF and DARPA. It requires extensive engagement and outreach to the research community to assess trends, communicate priorities, and identify new opportunities. Responsibilities include developing new programs, making funding recommendations, and direct managerial oversight of grants and research cooperative agreements. The position will be responsible for overseeing a portfolio of grants and cooperative agreements to support these scientific areas: neural interface technologies that record, modulate, or stimulate neural activity; novel materials and neural interface devices; and biotechnologies applied to the nervous system (including development of hardware, software, and computational techniques). Candidates should possess a doctoral degree and post-doctoral training, with expertise in?research towards understanding and applying neural engineering concepts and technologies. We encourage applications from candidates who enjoy working collaboratively and bring a diverse perspective to neural engineering research. *Job Post Link*: https://www.ninds.nih.gov/About-NINDS/Jobs-At-NINDS/Health-Scientist-Administrator-neural-engineering Please send a letter of interest and curriculum vitae to Dr. Ned Talley at talleye at ninds.nih.gov. -------------- next part -------------- An HTML attachment was scrubbed... URL: From chaumann at cor-lab.Uni-Bielefeld.DE Tue Mar 1 10:19:02 2022 From: chaumann at cor-lab.Uni-Bielefeld.DE (Carola Haumann) Date: Tue, 1 Mar 2022 16:19:02 +0100 Subject: Connectionists: =?utf-8?q?Next-generation_AIoT_applications_?= =?utf-8?q?=E2=80=93_VEDLIoT-Open_is_now_active?= Message-ID: <9d3fc36b-6062-8868-bfae-24c3dba6575a@cor-lab.Uni-Bielefeld.DE> The EU-project VEDLIoT is happy to announce that the Open Call is active from today until 8th of May at 23:59h CEST! All info can be found here: https://vedliot.eu/use-cases/open-call/ We are looking forward to interesting applications. ****************************************************************** VEDLIoT-Open in a nutshell: Project acronym: VEDLIoT Project full name: Very Efficient Deep Learning in IoT Project VEDLIoT, co-funded from the European Union?s Horizon 2020 Research and Innovation Programme under grant agreement No. 957197, foresees as an eligible activity the provision of financial support to third parties, as a means to achieve its own objectives. For this Open Call, the types of activities to perform that qualify for receiving financial support are the next generation of AIoT applications in areas such as wearables, transportation, agriculture, homes, health, energy, and manufacturing. Call identifier: VEDLIoT - Open Call title: Next-generation AIoT applications ? VEDLIoT-Open Publication date: 01/03/2022 Deadline: 08/05/2022 at 23:59h CEST. Indicative budget for the call: 840.000 ? Expected duration of participation: 9 to 12 months Indicative budget for each proposal: up to 120,000 ? (including 25 % indirect costs, at a funding/reimbursement rate of 70 %) Language in which proposal must be submitted: English Project site: https://vedliot.eu/use-cases/open-call/ Questions: vedliot-open-support at vedliot.[eu|ai|io] From yaochu.jin at surrey.ac.uk Tue Mar 1 16:05:21 2022 From: yaochu.jin at surrey.ac.uk (Yaochu Jin) Date: Tue, 1 Mar 2022 21:05:21 +0000 Subject: Connectionists: Postdoc Position at Bielefeld University, Germany Message-ID: Application deadline: March 9, 2022 The position on offer is part of the Nature Inspired Computing and Engineering (NICE) research group of Professor Yaochu Jin, which was founded in October 2021. Within the framework of this Alexander von Humboldt Professorship, the NICE group focuses on understanding biological evolution, learning and development at a high abstraction level, and develops computational algorithms inspired from biological evolution, learning and development for real-world problem-solving, including data-driven optimization of complex systems, secure and privacy-preserving machine learning, and self-organising collective systems. Your Tasks * independent research in one of the abovementioned research areas, publishing research results as well as participation in securing new research grants (70 %) * co-supervise PhD students and support teaching (20 %) possible coordination and organisation of research activities in the group (10 %). * Employment is conductive to scientific qualification. We offer * salary according to Remuneration level 13 TV-L * fixed-term (3 years, possibility of extension for another two years) (? 2 (1) sentence 2 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases) * fulltime * internal and external training opportunities * wide range of health, consulting and prevention service * reconcilability of family and working life * job ticket for regional public transport network * collegial working environment * open and pleasant working atmosphere Your Profile * PhD in Computer Science, Mathematics, Engineering or a related discipline * advanced experience in at least one of the following areas: privacy preserving machine learning, artificial life, self-organizing swarm robots, self-reconfigurable modular robots * very good English language skills (written and oral) * hands-on programming skills in Python or Matlab * strong publication track record in mainstream conferences or high-quality journals * strong interest in interdisciplinary research * independent, cooperative and team-oriented way of working * strong communication skills Application Procedure We are looking forward to receiving your application. For full consideration, your application should be received via either email (a single PDF document is required) sent to recruitment.techfak at uni-bielefeld.de or post (see postal address). Please mark your application with the identification code: Wiss22124. Please note that the possibility of privacy breaches and unauthorized access by third parties cannot be excluded when communicating via unencrypted email. For Information on the processing of personal data. Contact: Prof. Dr.-Ing. Yaochu Jin, Email: yaochu.jin at uni-bielefeld.de =============================================== Prof. Dr.-Ing. Yaochu Jin, MAE, FIEEE Alexander von Humboldt Professor for AI Chair of Nature Inspired Computing and Engineering Faculty of Technology, Bielefeld University D-33619 Bielefeld, Germany Email: yaochu.jin at uni-bielefeld.de and Distinguished Chair, Professor in Computational Intelligence Department of Computer Science, University of Surrey Guildford, GU2 7XH, United Kingdom Email: yaochu.jin at surrey.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From eneftci at uci.edu Wed Mar 2 02:45:50 2022 From: eneftci at uci.edu (Emre Neftci) Date: Wed, 02 Mar 2022 08:45:50 +0100 Subject: Connectionists: Call for Applications for 2022 Telluride Neuromorphic Cognition Engineering Workshop: Deadline Apr 08, 2022 Message-ID: Dear all, We are accepting applications to the 2022 Telluride Neuromorphic Cognition Engineering Workshop which will run from 26. June to 16. July 2022. This workshop has been running for over 25 years, and has been influential in shaping the field of neuromorphic engineering and serving as a forum connecting across disciplines such as artificial intelligence, neuroscience, cognitive science, machine learning, robotics, computer vision, signal processing, and electrical engineering. The four topic areas for this year's workshop are: 1. Neuromorphic Tactile Exploration 2. Lifelong Learning at Scale: From Neuroscience Theory to Robotic Applications 3. Cross-modality brain signals: auditory, visual and motor 4. Neuromorphic Tools, Techniques and Hardware Details of this year?s workshop can be found at here: https://sites.google.com/view/telluride-2022/home Apply here: https://academicjobsonline.org/ajo/jobs/21212 Instructions for applications: https://docs.google.com/document/d/1BF1hrlOt290fS0OF8Gpf7ZQRjxncD7wa Important Dates: * Application Website Close - 8. April, 2022 * Notification of Acceptance - 15. April, 2022 Emre Neftci on behalf of The 2022 Telluride Organizing Team -- Emre Neftci, PhD, Associate Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100 From Wenhao.Zhang at UTSouthwestern.edu Tue Mar 1 16:21:05 2022 From: Wenhao.Zhang at UTSouthwestern.edu (Wenhao Zhang) Date: Tue, 1 Mar 2022 21:21:05 +0000 Subject: Connectionists: Postdoc positions of computational neuroscience at UT Southwestern Message-ID: The computational neuroscience lab directed by Dr. Wenhao Zhang at the University of Texas Southwestern Medical Center (www.zhang-cnl.org) is currently seeking up to two postdoctoral fellows to study cutting edge problems in computational neuroscience. Research topics include: 1). The neural circuit implementation of normative computation, e.g., Bayesian/causal inference. 2). Dynamical analysis of recurrent neural circuit models. 3). Modern deep learning methods to solve neuroscience problems. Successful candidates are expected to play an active and independent role in one of our research topics. All projects are strongly encouraged to collaborate with experimental neuroscientists both in UT Southwestern as well as abroad. The initial appointment is for one year with the expectation of extension given satisfactory performance. UT Southwestern provides competitive salary and benefits packages. Candidates with a Ph.D. in (computational) neuroscience or quantitative fields like computer science, biomedical engineering, physics, statistics, mathematics, etc. are strongly encouraged to apply. The UT Southwestern is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. Interested candidates should send an email to me wenhao.zhang at utsouthwestern.edu with your CV and a statement of research interests, and the names and contact information for three references. The competition will remain open until the positions are filled. Best Wenhao --------------------------------- Wen-Hao Zhang, PhD Assistant Professor Lyda Hill Department of Bioinformatics O?Donnell Brain Institute UT Southwestern Medical Center www.zhang-cnl.org ________________________________ UT Southwestern Medical Center The future of medicine, today. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoprinkova at yahoo.com Wed Mar 2 04:03:27 2022 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Wed, 2 Mar 2022 09:03:27 +0000 (UTC) Subject: Connectionists: AIMSA 2022 Conference(Sptember, 8-10 2022; Varna, Bulgaria); Deadline:May 22; Proceedings: LNCS -: Springer In-Reply-To: <3D890ABCFB9F457EB04B1A185BC385AC@iit1b00f9d2c9d> References: <3D890ABCFB9F457EB04B1A185BC385AC@iit1b00f9d2c9d> Message-ID: <868469122.48670.1646211807744@mail.yahoo.com> ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?SECOND CALL FOR PAPERS ?????????????????????????????????????????????????????????? AIMSA 2022 ?????? The 19th International Conference on Artificial Intelligence: Methodology, Systems, Applications ?????????????????????????????? Golden Sands resort, Varna, Bulgaria, 8-10th September, 2022 ?????????????????????????????????????????????????????????? www.aimsaconference.org?Initiated in 1984, the biennial Artificial Intelligence: Methodology, Systems, Applications (AIMSA) conference is a premier single-track forum for exchanging information and research results on theory and principles of artificial intelligence (AI) along with real-world applications of intelligent systems technology. The conference traditionally brings together researchers and practitioners in all areas of AI from both the academia and industry to meet and share their ideas and experiences and learn about the recent trends and developments in contemporary AI. ?The 19th edition of AIMSA will be held in the beautiful Golden Sands resort near Varna, Bulgaria. With its mild climate and excellent opportunities for outdoor activities, water sports and gastronomy, Golden Sands promise to be a wonderful venue for a memorable conference.?TOPICS?The conference welcomes submissions of original, high quality papers in all areas of Artificial Intelligence, including (but not limited to) traditional topics such as the algorithms, implementations and (or) real-world applications of knowledge discovery, data mining, machine learning, evolutionary computing, pattern recognition, search, reasoning, planning, natural language processing, intelligent agents, multiagent systems, robotics and sensing, etc.?All submissions will be subject to a single-blind academic peer review by at least two members of the program committee. Selection criteria include accuracy and originality of? ideas, clarity and significance of results, and quality of presentation. ? The author(s) of the best paper (which will be selected based on the votes of the attendees) of the conference will receive the Best Paper Award during the conference.?PROGRAMME COMMITTEE CHAIR Ivan Tanev Department of Information Systems Design Faculty of Engineering, Doshisha University, Japan E-mail: itanev at mail.doshisha.ac.jp Website: http://isd-si.doshisha.ac.jp/itanev/?LOCAL ORGANIZING COMMITTEE CHAIR Gennady Agre Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev 2, 1113 Sofia, Bulgaria E-mail: agre at iinf.bas.bg Phone: +359 28700118 Fax: +359 28707273?KENOTE SPEAKERS: ?Prof. Plamen Angelov (School of Computing and Communications, Lancaster University, UK): From Hyper-parametric towards Prototype-based Deep Learning Prof. Julian. F. Miller (Department of Electronic Engineering, University of York, UK): Cartesian Genetic Programming IMPORTANT DATES?Submission deadline:???????????? May 22, 2022 Notification of acceptance:???? June 20, 2022 Deadline for camera-ready:???? July 24, 2022 Conference??????????????????????????? September 8-10 2022?PROCEEDINGS ?The proceedings of AIMSA 2022 conference will be published by Springer in their Lecture Notes in Artificial Intelligence subline of the Lecture Notes in Computer Science series. ? JOINT EVENT: ?The 1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage (https://sites.google.com/view/viperc-2022/home) LOCATION?Golden Sands is a modern resort with traditions, and history going back 50 years. A unique blend of lovely nature park, warm sea, and fine golden sand! Golden Sands is the winner of a "Blue Flag" - a prestigious international award for environmentally clean resorts. ?ORGANISERS?Bulgarian Artificial Intelligence Association Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences (IICT ? BAS) -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccc22.conference at gmail.com Wed Mar 2 07:50:53 2022 From: iccc22.conference at gmail.com (ICCC 2022) Date: Wed, 2 Mar 2022 23:50:53 +1100 Subject: Connectionists: Call for Short Papers: The 13th International Conference on Computational Creativity (ICCC'22) Message-ID: *(Apologies for cross-posting - Please distribute!) * *1st CALL FOR SHORT PAPERS AND DEMOS The 13th International Conference on Computational Creativity (ICCC'22)* *June 27 ? July 1, 2022, Bozen-Bolzano, Italy * *(physical event supporting some virtual presence)* *Call for short papers*https://computationalcreativity.net/iccc22/ ????????????????????? **** Short Paper and Demos Deadline *** *Short papers deadline: April 13th Notification: May 13th ????????????????????? Computational Creativity (or CC) is a discipline with roots in Artificial Intelligence (AI), Cognitive Science, Engineering, Design, Psychology and Philosophy, and which explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on frameworks that offer greater clarity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on. **** ICCC Themes and Topics **** Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to: - Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming. - Applications and frameworks that allow for co-creativity between humans and machines, in which the machine is more than a mere tool and takes on significant creative responsibility for itself. - Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how such systems are perceived in society. - Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation. - Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials. - Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems. - Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts. - Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings. - Perspectives on CC which draw from philosophical and/or sociological studies in a context of creative intelligent systems. - CC in the cloud, including how web services can be used to foster unexpected creative behavior in computational systems. - Debate papers that raise new issues or reopen seemingly settled ones. Provocations that question the foundations of the discipline or throw new light on old work are also welcome. - High-level analyses of trends, biases, paradigms and historical shifts in the computational treatment of creativity. New papers reflecting all computational approaches and perspectives on creativity are welcome, including e.g., symbolic approaches, neural and statistical approaches, hybrid approaches, big-data approaches, rule-based approaches, curated approaches, and so on. The onus is on authors to argue and/or explicitly demonstrate the relevance of their work to the topic of computational creativity. Manuscripts should be exclusively submitted to ICCC, and may only be under review for ICCC for the duration of the review process. All papers should be in-scope and comply with scientific norms. The program chairs reserve the right to fast review papers that do not abide by these requirements. **** Short Paper Types *** *Short papers offer concise treatments of work and ideas that are better suited to this concentrated format. We anticipate submissions in the short paper category along any or all of the following lines: - *Nuggets and Gems:* short papers on any topic of CC for which one might consider a long paper. In this case, the work will be succinct enough, or at an early enough stage, to warrant the short paper format. - *System Demonstrations:* Submissions for the show-and-tell session should be made as short papers that are marked accordingly. - *Debate Sparks:* The short paper format is ideal for provocations that get the community talking. Is there some aspect of CC that you feel deserves more attention from the community? - *CC Translations:* Researchers in other fields often do work that we in CC would see as related to our own. We invite those researchers to present such work at ICCC, via a Translations short paper. This is submitted as an extended abstract that summarizes your work in another field. - *CC Bridges:* Research communities often retreat into silos and fail to reach out beyond their own borders. A bridging short paper explicitly seeks to create bridges to another field, to foster interdisciplinarity. Unlike a Translations paper, a Bridge is written by a CC researcher wishing to introduce new ideas from beyond our conventional horizons. - *Late Breaking Results:* The results of your work (empirical or system-related) may not have been ready for a long-paper submission. Consider submitting that work now in a short-paper format. - *Pilot Studies:* Have you conducted an initial foray into a research topic that deserves attention? Plant a flag for your research with a short paper. - *Grand Challenges:* Do you have a proposal for a task that can bring large parts of the community together in a productive collaborative effort? - *Meta-Perspectives:* Do your experience of the CC community (such as our conferences, workshops, reviewing processes, etc.) move you to write an analysis of how we might do things differently and better? - *Field Reports:* Have you taken your CC research into the field, where practitioners and/or commercial partners have explored its uses first hand? Consider writing a short paper about your experiences. - *Event Reports:* Have you organized a CC-flavored event ? a workshop, a tutorial, a seminar series, a postgraduate course, a public debate, an exhibition of CC outputs, or related outreach activity? Consider writing a short paper on your experience and that of your audience. **** DEMO papers **** All authors of accepted papers can opt to also show a demo of their system or prototype during the conference. You will be asked if you are interested in this option during the submission process. **** Submission, Paper and Presentation Format**** All short papers have the same length restriction (4 pages), and may focus on any of the same themes or topics as long papers. Papers should be anonymized and submitted as a PDF document formatted according to ICCC style (which is similar to AAAI and IJCAI formats). You can download the updated ICCC?22 template here: [ https://computationalcreativity.net/iccc22/wp-content/uploads/2022/01/ICCC-22-author-kit.zip ]. Submissions must be done before the deadline through the EasyChair platform at the ICCC 2022 site: [https://easychair.org/conferences?conf=iccc20220]. To be included in the proceedings, each paper must be presented at the conference by one of the authors. This means that at least one author will have to register and participate in the session in which their paper is presented, including the designated question-and-answer period. In order to ensure the highest level of quality, all submissions will be peer-reviewed and evaluated in terms of their scientific, technical, artistic and/or cultural contribution, and therefore there will be only one format for submission. However, the program committee will decide, for each submission, the most appropriate format for presentation: talk, poster, or system demonstration. * *** Important Dates for Short Papers and Demos **** Deadline: April 13th, 2022 Acceptance notification: May 13th, 2022 Camera-ready copies due: May 31st, 2022 Conference: June 27-July 1, 2022 The submission deadline for short papers is set after the long-paper notification, allowing authors to retool their long-paper submissions for this call. **** More Information **** More information on the paper types and submission process can soon be found at https://computationalcreativity.net/iccc22/short-paper-and-demos/ **** Organizing Committee **** General Chairs: Oliver Kutz & Tony Veale Local Chair: Roberto Confalonieri Program Chairs: Anna Kantosalo & Maria M. Hedblom ---------------------------------------- Follow us at: Facebook ? https://www.facebook.com/pg/computationalcreativity/ Twitter ? https://twitter.com/iccc_conf Instagram ? https://www.instagram.com/iccc_conf/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.crimi at sanoscience.org Wed Mar 2 08:02:22 2022 From: a.crimi at sanoscience.org (Alex Crimi) Date: Wed, 2 Mar 2022 13:02:22 +0000 Subject: Connectionists: Consciousness and cognition in plants Message-ID: Hi all, I always thought I could build a perceptron made of physarum like Andrew Adamanski, but this is more on free energy principle in plants or stuff like that: Consciousness and cognition in plants - PubMed (nih.gov) [https://cdn.ncbi.nlm.nih.gov/pubmed/persistent/pubmed-meta-image.png] Consciousness and cognition in plants - PubMed Unlike animal behavior, behavior in plants is traditionally assumed to be completely determined either genetically or environmentally. Under this assumption, plants are usually considered to be noncognitive organisms. This view nonetheless clashes with a growing body of empirical research that shows ? pubmed.ncbi.nlm.nih.gov Best, Alex ----------------------------------------------------------------------------------------- I send emails at unusual times, I don't expect immediate response ----------------------------------------------------------------------------------------- Dr. Alessandro Crimi Research Group Leader https://bam.sano.science [cid:6d20454a-9e11-4276-8c8e-eec730a46bf5] Centre for Computational Medicine Czarnowiejska 36, building C5. 30-072 Krak?w, Poland Phone: +48 575 455 016 www.sano.science ----------------------------------------------- Visiting Lecturer African Institute for Mathematical Sciences www.aims.edu.gh --------------------------------------------------------- https://twitter.com/Dr_Alex_Crimi -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-zfgl0rna.png Type: image/png Size: 12229 bytes Desc: Outlook-zfgl0rna.png URL: From walter.senn at unibe.ch Wed Mar 2 17:54:54 2022 From: walter.senn at unibe.ch (Walter Senn) Date: Wed, 2 Mar 2022 23:54:54 +0100 Subject: Connectionists: From Cortical Microcircuits to Consciousness, April 11-13, Paris Message-ID: <7C002765-0D42-4121-AD5C-E13B6932285B@unibe.ch> Dear all We would like to invite to the in person symposium From Cortical Microcircuits to Consciousness Institut Catholique de Paris, Paris, France 11-13 April 2022 The Symposium aims at bringing together neuroscientists from the Human Brain Project and invited guests to present their latest achievements in understanding cortical circuits at various scales, including the emergence of consciousness. The involvement of neuronal and neuroglial cells in brain functioning, memory, learning, cognition and consciousness in health and disease will be discussed from the experimental and theoretical perspective. The Symposium will also address neuroethics and neurophilosophy with links to society in a public key note, followed by a panel discussion by experts. Talks will be recorded and later put online. It will also offer a hands-on session on The Virtual Brain, the platform of EBRAINS for constructing and simulating personalised brain network models. EBRAINS is the European research infrastructure for gathering, processing and simulating brain data. We hope to see many of you in Paris at the Institut Catholique de Paris, close to Jardin du Luxembourg, in April 2022. Walter Senn, Alain Destexhe and Ausra Saudargiene ------------------------------------------------------------------------------ Abstract submission (300 words, for Posters): 15 March 2022 Registration deadline: 6 April 2022 https://www.humanbrainproject.eu/en/education/corticon/ Program at a glance Speakers: Katrin Amunts | Human Brain Project Scientific Research Director Melanie Boly | University of Wisconsin, USA Stanislas Dehaene | Coll?ge de France Alain Destexhe | Centre National de la Recherche Scientifique, France Kathinka Evers | Uppsala University, Sweden Wulfram Gerstner | Ecole Polytechnique F?d?rale de Lausanne, Switzerland Jeanette Hellgren-Kotaleski | KTH Royal Institute of Technology, Sweden Viktor Jirsa | Aix-Marseille University, France Christof Koch | Allen Institute for Brain Sciences, USA Matthew Larkum | Humboldt University of Berlin, Germany Marja-Leena Linne | Tampere University, Finland Marcello Massimini | University of Milan, Italy Lucia Melloni | Max Planck Institute for Human Cognitive and Brain Science, Germany Michele Migliore | Institute of Biophysics, Italian National Research Council, Italy Lars Muckli | University of Glasgow, UK Theofanis Panagiotaropoulos | Inserm, NeuroSpin, France Cyriel Pennartz | University of Amsterdam, Netherlands Panayiota Poirazi | IMBB-FORTH, Greece Petra Ritter | Berlin Institute of Health, Germany Pieter Roelfsema | Netherlands Institute for Neuroscience, Netherlands Ausra Saudargiene | Lithuanian University of Health Sciences, Lithuania Walter Senn | University of Bern, Switzerland Johan Storm | Institute of Basic Medical Sciences, University of Oslo, Norway Chris Summerfield | University of Oxford, UK Marmaduke Woodman | Aix-Marseille University, France Scientific Committee and Organizers: Walter Senn | University of Bern, Switzerland Alain Destexhe | Centre National de la Recherche Scientifique, France Viktor Jirsa | Aix-Marseille University, France Marja-Leena Linne| Tampere University, Finland Michele Migliore | Italian National Research Council, Italy Ausra Saudargiene | Lithuanian University of Health Sciences, Lithuania -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Mar 2 16:42:58 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 2 Mar 2022 22:42:58 +0100 Subject: Connectionists: =?utf-8?q?CFP_--_Network_Systems_and_Applications?= =?utf-8?q?_=28NSA=2722=29=3B_within_FedCSIS=2722=3B_IEEE_=2354150=3B_CORE?= =?utf-8?q?_rank_B=3B_70_punkt=C3=B3w_MEiN=3B_HYBRID_event?= In-Reply-To: References: Message-ID: <59735204-c699-7b59-58d5-8b55ac6f52d2@amu.edu.pl> CALL FOR PAPERS Network Systems and Applications (NSA'22; https://fedcsis.org/2022/nsa) Organized within the scope of 2022 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'22; IEEE #54150; CORE rank B; 70 punkt?w MEiN; HYBRID event) ************************** COVID-19 Information ************************ Conference will take place in Sofia Bulgaria, for those who will be able to make it there. For those who will not be able to reach Sofia, online participation will be made available. ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE Modern network systems encompass a wide range of solutions and technologies, including wireless and wired networks, network systems, services, and applications. This results in numerous active research areas oriented towards various technical, scientific and social aspects of network systems and applications. The primary objective of Network Systems and Applications conference track is to group network-related technical sessions and promote synergy between different fields of network-related research. The rapid development of computer networks including wired and wireless networks observed today is very evolving, dynamic, and multidimensional. On the one hand, network technologies are used in virtually several areas that make human life easier and more comfortable. On the other hand, the rapid need for network deployment brings new challenges in network management and network design, which are reflected in hardware, software, services, and security-related problems. Every day, a new solution in the field of technology and applications of computer networks is released. The NSA track is devoted to emphasizing up-to-date topics in networking systems and technologies by covering problems and challenges related to the intensive multidimensional network developments. This track covers not only the technological side but also the societal and social impacts of network developments. The track is inclusive and spans a wide spectrum of networking-related topics. The NSA track is a great place to exchange ideas, conduct discussions, introduce new ideas and integrate scientists, practitioners, and scientific communities working in networking research themes. Topics: The NSA track is seeking original, relevant, and high-quality research papers related, but not limited, to the following topics: + Networks architecture + Networks management + Quality-of-Service enhancement + Performance modeling and analysis + Fault-tolerant challenges and solutions + 5G developments and applications + Traffic identification and classification + Switching and routing technologies + Protocols design and implementation + Wireless sensor networks + Future Internet architectures + Networked operating systems + Industrial networks deployment + Software-defined networks + Self-organizing and self-healing networks + Mulimedia in Computer Networks + Communication quality and reliability + Emerging aspects of networking systems The track will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of networking technology. Track 3 includes technical sessions: * Complex Networks - Theory and Application (1st Workshop CN-TA'22) https://www.fedcsis.org/2022/cnta * Internet of Things - Enablers, Challenges and Applications (6th Workshop IoT-ECAW'22) https://www.fedcsis.org/2022/iot-ecaw * Cyber Security, Privacy and Trust (3rd International Forum NEMESIS'22) https://www.fedcsis.org/2022/nemesis FedCSIS'22 KEYNOTE SPEAKERS: * Krassimir Atanassov Bulgarian Academy of Sciences, Sofia, Bulgaria https://scholar.google.com/citations?hl=pl&user=K-vuWKsAAAAJ * Thomas Blaschke University of Salzburg, Salzburg, Austria https://scholar.google.com/citations?user=kMroJzUAAAAJ * Chris Cornelis Ghent University, Ghent, Belgium https://scholar.google.com/citations?hl=pl&user=ln46HlkAAAAJ * Franco Zambonelli University of Modena e Reggio Emilia, Bologna, Italy https://scholar.google.com/citations?hl=pl&user=zxulxcoAAAAJ ZDZISLAW PAWLAK BEST PAPER AWARD The Professor Zdzislaw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS 2022 are eligible to be considered as the award winners. This award will be granted independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2022/zp_award PAPER PUBLICATION: + Papers should be submitted by May 10, 2022 (strict deadline, no extensions, submission system is open, via EasyChair https://easychair.org/my/conference?conf=fedcsis2022). + Preprints will be published online. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will be posted within the conference Web portal. Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). IMPORTANT DATES: + Paper submission (strict deadline): May 10, 2022, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2022 + Author notification: July 6, 2022 + Final paper submission and registration: July 12, 2022 + Payment (early fee deadline): August 2, 2022 + Conference date: September 4-7, 2022 Please forward this announcement to your colleagues and associates who could be interested in it. TRACK CHAIRS: * Armando, Alessandro, University of Genova, Italy * Awad, Ali Ismail, Lulea University of Technology, Sweden * Furtak, Janusz, Military University of Technology, Poland * Suri, Niranjan, Institute of Human and Machine Cognition, United States Contact: nsa-track at fedcsis.org PROGRAM CHAIRS: * Awad, Ali Ismail, Lulea University of Technology, Sweden * Furtak, Janusz, Military University of Technology * Hodo?, Michal, University of ?ilina, Slovakia Contact: nsa-program at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From dwang at cse.ohio-state.edu Wed Mar 2 11:44:05 2022 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Wed, 2 Mar 2022 16:44:05 +0000 Subject: Connectionists: NEURAL NETWORKS, March 2022 Message-ID: Neural Networks - Volume 147, March 2022 https://www.journals.elsevier.com/neural-networks Associative anticipatory learning and control of the cerebellar cortex based on the spike-timing-dependent plasticity of the parallel fiber-Purkinje cell synapses Masahiko Fujita Feature Correlation-Steered Capsule Network for object detection Zhongqi Lin, Jingdun Jia, Feng Huang, Wanlin Gao Fast writer adaptation with style extractor network for handwritten text recognition Zi-Rui Wang, Jun Du UTRAD: Anomaly detection and localization with U-Transformer Liyang Chen, Zhiyuan You, Nian Zhang, Juntong Xi, Xinyi Le NoAS-DS: Neural optimal architecture search for detection of diverse DNA signals Kaushik Bhargav Sivangi, Chandra Mohan Dasari, Santhosh Amilpur, Raju Bhukya SurvNAM: The machine learning survival model explanation Lev V. Utkin, Egor D. Satyukov, Andrei V. Konstantinov Fully corrective gradient boosting with squared hinge: Fast learning rates and early stopping Jinshan Zeng, Min Zhang, Shao-Bo Lin HRel: Filter pruning based on High Relevance between activation maps and class labels C.H. Sarvani, Mrinmoy Ghorai, Shiv Ram Dubey, S.H. Shabbeer Basha A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints Na Liu, Jun Wang, Sitian Qin Approximation capabilities of measure-preserving neural networks Aiqing Zhu, Pengzhan Jin, Yifa Tang DMPP: Differentiable multi-pruner and predictor for neural network pruning Jiaxin Li, Bo Zhao, Derong Liu Command-filter-based adaptive neural tracking control for a class of nonlinear MIMO state-constrained systems with input delay and saturation Yuhao Zhou, Xin Wang, Rui Xu Towards efficient network compression via Few-Shot Slimming Junjie He, Yinzhang Ding, Ming Zhang, Dongxiao Li Observer-based adaptive neural tracking control for a class of nonlinear systems with prescribed performance and input dead-zone constraints Guangdeng Zong, Yudi Wang, Hamid Reza Karimi, Kaibo Shi Symmetric positive definite manifold learning and its application in fault diagnosis Yuanhong Liu, Zebiao Hu, Yansheng Zhang Efficient joint model learning, segmentation and model updating for visual tracking Wei Han, Chamara Kasun Liyanaarachchi Lekamalage, Guang-Bin Huang -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.cottereau at cnrs.fr Wed Mar 2 10:06:02 2022 From: benoit.cottereau at cnrs.fr (=?Windows-1252?Q?COTTEREAU_Beno=EEt?=) Date: Wed, 2 Mar 2022 15:06:02 +0000 Subject: Connectionists: Fully funded PhD fellowship in the National University of Singapore (NUS) for an international project (in collaboration with Toulouse, France) on scene perception with artificial neural networks Message-ID: Fully funded PhD fellowship in the National University of Singapore (NUS) for an international project (in collaboration with Toulouse, France) on scene perception with artificial neural networks Starting date: Second semester of 2022 Supervisors: Lai-Xing Ng (Contact: ng_lai_xing at i2r.a-star.edu.sg) and Benoit Cottereau (Contact: benoit.cottereau at cnrs.fr) A PhD fellowship is available to work at the National University of Singapore (NUS), in collaboration with the Cerco laboratory (Toulouse, France). The aim of the project is to develop energy-efficient neuromorphic systems based on artificial neural networks which process different types of sensory signals (data collected from event-based cameras, synchronous cameras, and other sensors) to extract meaningful information from their surrounding environment (3D layout of the scene, objects of interest, threats, etc?). These systems will be first validated from labelled datasets and then tested in real-life situations (e.g., they will be embedded on drones interacting in real-time with human operators). The PhD position will be fully funded under the DESCARTES program on intelligent modelling (https://www.cnrsatcreate.cnrs.fr/descartes/) with a competitive salary and opportunities for missions abroad and collaborations with the industry. The research will take place mainly in Singapore, a multicultural and attractive city of south-east Asia with high-quality of life. Stays in Toulouse are also planned. Expected skills: The candidate should be willing to work in an international environment which involves Singapore and France, have a good level in English and very good programming skills (in Matlab, Python or C++). Some knowledge in artificial intelligence and neural networks would be a plus. Applications should be sent to ng_lai_xing at i2r.a-star.edu.sg and benoit.cottereau at cnrs.fr, including a CV and 2 names of references. -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Wed Mar 2 17:38:28 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Wed, 2 Mar 2022 17:38:28 -0500 Subject: Connectionists: CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022) Message-ID: *CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present the latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. In this announcement: 1. Call for Workshops& Tutorials* - Friday, **4th March 2022* 2. Call for Semantic Web Challenge* - Friday, 24th **March** 2022* 3. Call for Research papers - Friday, 28th April 2022 4. Call for In-Use papers - Friday, 28th April 2022 5. Call for Resource papers - Friday, 28th April 2022 6. Call for Doctoral Consortium - Friday, 13th May 2022 7. Call for Posters & Demos - Wednesday, 13th July 2022 *All deadlines are 23:59 AoE* (Anywhere on Earth) 1. Call for Workshops & Tutorials ******************************************* Besides the main technical program, ISWC will host several workshops on topics related to the general theme of the conference. The role of the workshops is to provide a setting for focused, intensive scientific exchange among researchers and practitioners interested in a specific topic. As such, workshops are the primary venues for the exploration of emerging ideas as well as for the discussion of novel aspects of established research topics. We invite you to submit a proposal for workshops on a research topic of interest to ISWC attendees. In addition to the regular research and workshop program, ISWC 2021 will feature a tutorial program addressing the diverse interests of its audience: Semantic Web practitioners that wish to learn about new technologies, novices to the Semantic Web interested in introductory tutorials to key Semantic Web / Linked Data topics, government and industry representatives focusing on the applicability of Semantic Web / Linked Data technologies in practical settings. We hereby invite you to submit a tutorial proposal on a research topic relevant to the ISWC 2021 audience. Important Dates: - Proposals due: Friday, 4th March, 2022 - Notification to proposers: 22 March, 2022 - Workshop & Tutorial Day(s): 24-25 October, 2022 Submission link: https://easychair.org/conferences/?conf=iswc2021 Details: https://iswc2021.semanticweb.org/workshops-and-tutorials-call Workshops & Tutorials Chairs: - Laura Hollink (Centrum Wiskunde & Informatica, Netherlands) - Mayank Kejriwal (University of Southern California, US) 2. Call for Semantic Web Challenge ******************************************* A great way to advance the state of the art in a given domain is to create competition. We invite you to propose an ISWC 2022 Challenge, in which you define an open competition on a problem of your choice within the Semantic Web domain. Call for Semantic Web Challenge Proposals: https://iswc2022.semanticweb.org/index.php/semantic-web-challenge-proposals/ Deadline: Friday, 24th March, 2022, 23:59 AoE (Anywhere on Earth) Semantic Web Challenge Chairs: - Catia Pesquita, LASIGE, Faculdade de Ci?ncias, University of Lisbon clpesquita at fc.ul.pt - Daniele Dell?Aglio, Aalborg University, Denmark dade at cs.aau.dk 3. Call for Research papers ******************************************* The* research track* of ISWC 2022 solicits novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. We welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, SHACL, etc.) that may also lie at the intersection of the Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/research-track/ Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Aidan Hogan, Department of Computer Science, Universidad de Chile ahogan at dcc.uchile.cl - Uli Sattler, Department of Computer Science, University of Manchester Uli.Sattler at manchester.ac.uk 4. Call for In-Use papers ******************************************* The track aims to give a stage to solutions for real-world problems in which Semantic Web and Knowledge Graph technologies play a crucial role. Real-world applications of these technologies in combination with machine learning, deep learning and other AI techniques are of particular interest. The In-Use track thus seeks submissions describing applied and validated solutions such as software tools, systems or architectures that benefit from the use of Semantic Web and Knowledge Graph technologies (including, but not limited to, technologies based on the Semantic Web standards). Importantly, submitted papers should provide convincing evidence of use of the proposed application or tool by the target user group, preferably outside the group that conducted the development and, more broadly, outside the Semantic Web and Knowledge Graph research communities. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/in-use-track/ Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Jo?o Paulo A. Almeida, Federal University of Esp?rito Santo, Brazil - Hideaki Takeda, National Institute of Informatics, Japan Contact: In-UseTrack-iswc2022 at easychair.org 5. Call for Resource papers ******************************************* The ISWC 2022 Resources Track aims to promote the sharing of resources which support, enable or utilise semantic web research. Resources include, but not restricted to: datasets, ontologies/vocabularies, ontology design patterns, evaluation benchmarks or methods, software tools/services, APIs and software frameworks, workflows, crowdsourcing task designs, protocols, methodologies and metrics, that have contributed or may contribute to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best and well-established practices within the Semantic Web community. As such, this track calls for contributions that provide a concise and clear description of a resource and its usage. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/resources-track/ Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Valentina Presutti, LILEC Department, University of Bologna, Italy valentina.presutti at unibo.it - Maria Keet, Department of Computer Science, University of Cape Town, South Africa mkeet at cs.uct.ac.za 6. Call for Doctoral Symposium ******************************************* The ISWC 2022 Doctoral Consortium (DC) will take place virtually as part of the 21st International Semantic Web Conference. This forum will provide PhD students an opportunity to: - present and discuss their research ideas in a supportive, formative and yet critical environment; - receive feedback from mentors, typically senior members of the Semantic Web research community, and peers; - explore career pathways available after completing their PhD degree, and finally - network and build collaborations with other members of the community. The event is intended for students who have articulated a reasonably detailed research proposal, preferably supported by some preliminary results. The aim is to support the students in refining their proposal and suggest possible ways to improve their research plan and achieve results with prospective greater impact. While doctoral degrees can vary in format and conduct, we aim this Call for Papers to PhD candidates who will have already partially investigated some specific problems. Students will be required to submit a paper to the doctoral consortium, structured like a research proposal (see ?Submission Details? below). All proposals submitted to the Doctoral Consortium will undergo a rigorous review process by the International Programme Committee, who will provide detailed and constructive feedback and select those submissions to be presented at the Doctoral Consortium. If accepted, students will have to register and attend the event, which will include a range of interactive activities. Call for Doctoral Consortium Papers: https://iswc2022.semanticweb.org/index.php/doctoral-consortium/ Deadline: Friday, 13th May, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Olaf Hartig, Link?ping University, Sweden - Oshani Seneviratne, Rensselaer Polytechnic Institute, USA Contact: DoctoralConsortium-iswc2022 at easychair.org 2. Call for Posters and Demos ******************************************* The ISWC 2022 Posters and Demos Track complements the paper tracks of the conference by offering an opportunity to present late-breaking research results, on-going research or resource projects, and speculative or innovative work in progress. The Lightning Talks track will be open to all accepted Poster & Demo submissions, while a separate call will allow anyone else to submit a presentation proposal to the Lightning Track. The informal setting of the Posters and Demos Track encourages presenters and participants to engage in discussions about the work. Such discussions can be invaluable inputs for the future work of the presenters while offering participants an effective way to broaden their knowledge of emerging research trends and to network with other researchers. Call for Posters and Demos: https://iswc2022.semanticweb.org/index.php/posters-and-demos/ Deadline: Friday, 13th July, 2022, 23:59 AoE (Anywhere on Earth) *Follow us on social media:* - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ *The ISWC 2022 Organizing TeamOrganizing Committee ? ISWC 2022 (semanticweb.org) * -------------- next part -------------- An HTML attachment was scrubbed... URL: From menno.vanzaanen at nwu.ac.za Thu Mar 3 02:22:16 2022 From: menno.vanzaanen at nwu.ac.za (Menno van Zaanen) Date: Thu, 03 Mar 2022 09:22:16 +0200 Subject: Connectionists: Call for papers special issue Journal of the Digital Humanities Association of Southern Africa Message-ID: <5e444c096b40ce53c6476f804db5c2b444fcd77d.camel@nwu.ac.za> ?Call for Papers Special Issue of the Journal of the Digital Humanities Association of Southern Africa: Crossroads Digital Humanities We invite authors and particularly those from the Digital Humanities community to submit manuscripts to a special issue of the JDHASA. In this special issue, we want to investigate the manifold connections of the Digital Humanities with academic disciplines that are not usually connected with DH. We also welcome comparative Digital Humanities studies of different datasets, and hands-on or analytical work in the sciences where Digital Humanities methods or approaches are applied. Practical examples of the application of Digital Humanities and their application to real life problems are equally welcome. In particular, research within the context of Southern Africa is encouraged. Topic of Interests include but are not limited to: * Connections of Digital Humanities and the Sciences, e.g., DH meets Medicine, Social Science, Education, Geography, or Climate Change; * Digital Humanities methods applied to multiple fields of Humanities, such as Literature and Music, Social Sciences and NLP, Language studies and Education; * Applications of Digital Humanities to real life problems in developing countries and communities; * Digital Humanities research in low-resource environments; * Theoretical or Hermeneutic studies of multi-disciplinary Digital Humanities. Formal requirements: * Manuscripts are to be submitted as PDF and .docx or .odt (or as zip- compressed Latex folder) on our website (Link here); Submissions have to be made directly via the journal website ( https://upjournals.up.ac.za/index.php/dhasa/ ); * All submissions should be formatted according to our style sheets (Link here); * Submissions should be max. 15 pages long excluding references; * The review process will be open (for both authors and reviewers). Important dates: * Submission deadline 15 May 2022 * Notification to authors, first review: 16 July 2022 * Revised manuscripts due: 31 August 2022 * Notification to authors, second review: 30 September 2022 * Final version: 15 November 2022 * Publication: December 2022 About the journal The Journal of the Digital Humanities Association of Southern Africa (DHASA) is a peer-reviewed open-access journal of DHASA. Since its foundation in 2016, DHASA has become the official network of digital humanities scholars in Southern Africa. DHASA members come from a wide variety of fields in the humanities, social sciences, and computer sciences. Guest editors Franziska Pannach, G?ttingen Centre for Digital Humanities, Germany Menno van Zaanen, South African Centre for Digital Language Resources, South Africa -- Prof Menno van Zaanen menno.vanzaanen at nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org From iswc.conf at gmail.com Thu Mar 3 05:10:35 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 3 Mar 2022 05:10:35 -0500 Subject: Connectionists: [updated] CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022) Message-ID: *[Updated] CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present the latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. In this announcement: 1. Call for Workshops & Tutorials* - Friday, 18**th March 2022* 2. Call for Semantic Web Challenge* - Friday, 24th **March** 2022* 3. Call for Research papers - Friday, 28th April 2022 4. Call for In-Use papers - Friday, 28th April 2022 5. Call for Resource papers - Friday, 28th April 2022 6. Call for Doctoral Consortium - Friday, 13th May 2022 7. Call for Posters & Demos - Wednesday, 13th July 2022 *All deadlines are 23:59 AoE* (Anywhere on Earth) 1. Call for Workshops & Tutorials ******************************************* Besides the main technical program, ISWC will host several workshops on topics related to the general theme of the conference. The role of the workshops is to provide a setting for focused, intensive scientific exchange among researchers and practitioners interested in a specific topic. As such, workshops are the primary venues for the exploration of emerging ideas as well as for the discussion of novel aspects of established research topics. We invite you to submit a proposal for workshops on a research topic of interest to ISWC attendees. In addition to the regular research and workshop program, ISWC 2021 will feature a tutorial program addressing the diverse interests of its audience: Semantic Web practitioners that wish to learn about new technologies, novices to the Semantic Web interested in introductory tutorials to key Semantic Web / Linked Data topics, government and industry representatives focusing on the applicability of Semantic Web / Linked Data technologies in practical settings. We hereby invite you to submit a tutorial proposal on a research topic relevant to the ISWC 2022 audience. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/workshops-and-tutorials/ Deadline: Friday, 18th March, 2022, 23:59 AoE (Anywhere on Earth) Workshops & Tutorials Chairs: - Marta Sabou, Vienna University of Economics and Business (WU), Austria marta.sabou at wu.ac.at - Raghava Mutharaju, IIIT-Delhi, India raghava.mutharaju at iiitd.ac.in 2. Call for Semantic Web Challenge ******************************************* A great way to advance the state of the art in a given domain is to create competition. We invite you to propose an ISWC 2022 Challenge, in which you define an open competition on a problem of your choice within the Semantic Web domain. Call for Semantic Web Challenge Proposals: https://iswc2022.semanticweb.org/index.php/semantic-web-challenge-proposals/ Deadline: Friday, 24th March, 2022, 23:59 AoE (Anywhere on Earth) Semantic Web Challenge Chairs: - Catia Pesquita, LASIGE, Faculdade de Ci?ncias, University of Lisbon clpesquita at fc.ul.pt - Daniele Dell?Aglio, Aalborg University, Denmark dade at cs.aau.dk 3. Call for Research papers ******************************************* The* research track* of ISWC 2022 solicits novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. We welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, SHACL, etc.) that may also lie at the intersection of the Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/research-track/ Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Aidan Hogan, Department of Computer Science, Universidad de Chile ahogan at dcc.uchile.cl - Uli Sattler, Department of Computer Science, University of Manchester Uli.Sattler at manchester.ac.uk 4. Call for In-Use papers ******************************************* The track aims to give a stage to solutions for real-world problems in which Semantic Web and Knowledge Graph technologies play a crucial role. Real-world applications of these technologies in combination with machine learning, deep learning and other AI techniques are of particular interest. The In-Use track thus seeks submissions describing applied and validated solutions such as software tools, systems or architectures that benefit from the use of Semantic Web and Knowledge Graph technologies (including, but not limited to, technologies based on the Semantic Web standards). Importantly, submitted papers should provide convincing evidence of use of the proposed application or tool by the target user group, preferably outside the group that conducted the development and, more broadly, outside the Semantic Web and Knowledge Graph research communities. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/in-use-track/ Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Jo?o Paulo A. Almeida, Federal University of Esp?rito Santo, Brazil - Hideaki Takeda, National Institute of Informatics, Japan Contact: In-UseTrack-iswc2022 at easychair.org 5. Call for Resource papers ******************************************* The ISWC 2022 Resources Track aims to promote the sharing of resources which support, enable or utilise semantic web research. Resources include, but not restricted to: datasets, ontologies/vocabularies, ontology design patterns, evaluation benchmarks or methods, software tools/services, APIs and software frameworks, workflows, crowdsourcing task designs, protocols, methodologies and metrics, that have contributed or may contribute to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best and well-established practices within the Semantic Web community. As such, this track calls for contributions that provide a concise and clear description of a resource and its usage. Topics of interest and further details: https://iswc2022.semanticweb.org/index.php/resources-track/ Deadline: Friday, 28th April, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Valentina Presutti, LILEC Department, University of Bologna, Italy valentina.presutti at unibo.it - Maria Keet, Department of Computer Science, University of Cape Town, South Africa mkeet at cs.uct.ac.za 6. Call for Doctoral Symposium ******************************************* The ISWC 2022 Doctoral Consortium (DC) will take place virtually as part of the 21st International Semantic Web Conference. This forum will provide PhD students an opportunity to: - present and discuss their research ideas in a supportive, formative and yet critical environment; - receive feedback from mentors, typically senior members of the Semantic Web research community, and peers; - explore career pathways available after completing their PhD degree, and finally - network and build collaborations with other members of the community. The event is intended for students who have articulated a reasonably detailed research proposal, preferably supported by some preliminary results. The aim is to support the students in refining their proposal and suggest possible ways to improve their research plan and achieve results with prospective greater impact. While doctoral degrees can vary in format and conduct, we aim this Call for Papers to PhD candidates who will have already partially investigated some specific problems. Students will be required to submit a paper to the doctoral consortium, structured like a research proposal (see ?Submission Details? below). All proposals submitted to the Doctoral Consortium will undergo a rigorous review process by the International Programme Committee, who will provide detailed and constructive feedback and select those submissions to be presented at the Doctoral Consortium. If accepted, students will have to register and attend the event, which will include a range of interactive activities. Call for Doctoral Consortium Papers: https://iswc2022.semanticweb.org/index.php/doctoral-consortium/ Deadline: Friday, 13th May, 2022, 23:59 AoE (Anywhere on Earth) Track Chairs: - Olaf Hartig, Link?ping University, Sweden - Oshani Seneviratne, Rensselaer Polytechnic Institute, USA Contact: DoctoralConsortium-iswc2022 at easychair.org 2. Call for Posters and Demos ******************************************* The ISWC 2022 Posters and Demos Track complements the paper tracks of the conference by offering an opportunity to present late-breaking research results, on-going research or resource projects, and speculative or innovative work in progress. The Lightning Talks track will be open to all accepted Poster & Demo submissions, while a separate call will allow anyone else to submit a presentation proposal to the Lightning Track. The informal setting of the Posters and Demos Track encourages presenters and participants to engage in discussions about the work. Such discussions can be invaluable inputs for the future work of the presenters while offering participants an effective way to broaden their knowledge of emerging research trends and to network with other researchers. Call for Posters and Demos: https://iswc2022.semanticweb.org/index.php/posters-and-demos/ Deadline: Friday, 13th July, 2022, 23:59 AoE (Anywhere on Earth) *Follow us on social media:* - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ *The ISWC 2022 Organizing TeamOrganizing Committee ? ISWC 2022 (semanticweb.org) * -------------- next part -------------- An HTML attachment was scrubbed... URL: From julia.verhoef at donders.ru.nl Thu Mar 3 05:43:37 2022 From: julia.verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Thu, 3 Mar 2022 10:43:37 +0000 Subject: Connectionists: POSTDOCTORAL RESEARCHER, CONNECTING KNOWLEDGE OF THE CONSORTIUM TO INTERNATIONAL COLLABORATIONS Message-ID: <372c4649199241408e5a779da57a0195@EXPRD08.hosting.ru.nl> Language in Interaction in hiring! Please draw your attention to the following vacancy: POSTDOCTORAL RESEARCHER, CONNECTING KNOWLEDGE OF THE CONSORTIUM TO INTERNATIONAL COLLABORATIONS * Employment: 0.8 ? 1.0 FTE * Gross monthly salary: ? 3,821 ? ? 5,230 * Donders Centre for Cognitive Neuroimaging * Required background: PhD * Application deadline: 7 April 2022 * Apply via the Radboud University job posting: https://www.ru.nl/english/working-at/vacature/details-vacature/?recid=1185110&pad=%2fenglish&doel=embed&taal=uk Human language is the most powerful communication system that evolution has produced. A profound understanding of it is valuable to current societal challenges as it is the basis of cultural and social life. Would you like to contribute to actually using this knowledge in societal solutions? As a postdoctoral researcher, you will connect the expertise of our Language in Interaction consortium to larger (inter)national collaborations aimed at societally relevant applications. The Language in Interaction research consortium invites applications for a senior postdoctoral position. Work Package 7 connects the expertise of Language in Interaction to societal partners. In this way, research outcomes are translated into applications for society. This position is meant to identify topics and research lines with the perspective of translation for societal applications. You will perform a thematically orientated literature search geared to identifying translational possibilities within the consortium. Also, you will assist in preparing and writing grant proposals for societal impact programmes in the Netherlands and Europe. Along these lines, you will contribute to using consortium knowledge in societal applications. You will act in close collaboration with Esther Steenbeek, coordinator of Work Package 7 and Peter Hagoort, programme director of the consortium. Profile * You hold a PhD in an area related to the neurobiology of language and/or language sciences. * You have expertise or an interest in theoretical neuroscience and language. * You have expertise or an interest in the translation of scientific evidence. * You have an integrative mindset. * You are strong in conceptual thinking. * You have good communication skills. * You have excellent proficiency in written and spoken English. * Experience with writing grant proposals would be a plus. We are The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Dutch Research Council (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and has a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. Our consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling. BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterize and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? You will be appointed at the Donders Institute, Centre for Cognitive Neuroimaging (Radboud University, Nijmegen). The research is conducted in an international setting at all participating institutions. English is the lingua franca. The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Radboud University We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. This is what unites the more than 24,000 students and 5,600 employees at Radboud University. And this requires even more talent, collaboration and lifelong learning. You have a part to play! We offer * Employment for 0.8 ? 1.0 FTE. * The gross monthly salary amounts to a minimum of ?3,807 and a maximum of ?5,211 based on a 38-hour working week, depending on previous education and number of years of relevant work experience (salary scale 11). * You will receive 8% holiday allowance and 8.3% end-of-year bonus. * A fixed-term contract for the maximum duration of 28 months, ending no later than 30 June 2024. * You will be able to use our Dual Career and Family Care Services. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen. * Working for us means getting extra days off. In case of full-time employment, you can choose between 29 or 41 days of annual leave instead of the legally allotted 20. * The institute has a number of regulations that make it possible for employees to create a good work-life balance. Additional employment conditions Work and science require good employment practices. This is reflected in Radboud University?s primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes. Would you like more information? For questions about the position, please contact Esther Steenbeek, Coordinator of Work Package 7 of Language in Interaction at +31 6 50 01 03 67 or esther.steenbeek at donders.ru.nl. Practical information and applications You can apply until 7 April 2022, exclusively using the button below. Kindly address your application to Esther Steenbeek. Please fill in the application form and attach the following documents: * A letter of motivation. * Your CV, including a list of publications and the names of at least two people who can provide references. The first round of interviews will take place on 19 April. If there is a second round, it will take place on 20 April. You would preferably begin employment as soon as possible. You can apply via the Radboud University website posting of the vacancy, found here: https://www.ru.nl/english/working-at/vacature/details-vacature/?recid=1185110&pad=%2fenglish&doel=embed&taal=uk Direct link to the application form: https://www.ru.nl/english/working-at/vacature/online-solliciteren/?tk=uk&recid=1185110 We can imagine you?re curious about our application procedure. It offers a rough outline of what you can expect during the application process, how we handle your personal data and how we deal with internal and external candidates. Kind regards, Julia Verhoef Secretary - Language in Interaction Consortium Radboud University | Donders Centre for Cognitive Neuroimaging (DCCN) | room 0.026 Kapittelweg 29, 6525 EN Nijmegen, The Netherlands | P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands | T: +31 (0)24 3666272 | E: J.Verhoef at donders.ru.nl|Office hours: 9-14 hr on Mon - Fri -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Thu Mar 3 05:32:55 2022 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Thu, 3 Mar 2022 11:32:55 +0100 Subject: Connectionists: [CfP] [Invitation] Special Issue on "Advanced Machine Learning Algorithms for Biometrics and Its Applications" In-Reply-To: <2897b27e-9c16-5e98-5e2f-692949bdad1a@ai.univ-paris8.fr> References: <2897b27e-9c16-5e98-5e2f-692949bdad1a@ai.univ-paris8.fr> Message-ID: Dear colleagues, You are cordially invited to submit a manuscript to the Applied Sciences special issue on "Advanced Machine Learning Algorithms for Biometrics and Its Applications". Please find further information below. https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Biometrics With best regards, Prof. Larbi Boubchir From cgf at isep.ipp.pt Thu Mar 3 05:40:02 2022 From: cgf at isep.ipp.pt (Carlos) Date: Thu, 3 Mar 2022 10:40:02 +0000 Subject: Connectionists: CFP: MLJ special issue on Foundations of Data Science (new submission deadline: 1 April 2022) Message-ID: <18221398-058b-be80-e069-1b0a6e62f3bd@isep.ipp.pt> Data science is a hot topic with an extensive scope, both in terms of theory and applications. Machine Learning forms one of its core foundational pillars. Simultaneously, Data Science applications provide important challenges that can often be addressed only with innovative Machine Learning algorithms and methodologies. This special issue will highlight the latest development of the Machine Learning foundations of data science and on the synergy of data science and machine learning. We welcome new developments in statistics, mathematics, informatics and computing-driven machine learning for data science, including foundations, algorithms and models, systems, innovative applications and other research contributions. Following the great success of the 2021 MLJ special issue with DSAA'2021, this 2022 special issue will further capture the state-of-the-art machine learning advances for data science. Accepted papers will be published in MLJ and presented at a journal track of the 2022 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2022) in Shenzhen, October 2022. ==================== Topics of Interest ==================== We welcome original and well-grounded research papers on all aspects of foundations of data science including but not limited to the following topics: Machine Learning Foundations for Data Science * Auto-ML * Information fusion from disparate sources * Feature engineering, embedding, mining and representation * Learning from network and graph data * Learning from data with domain knowledge * Reinforcement learning * Non-IID learning, nonstationary, coupled and entangled learning * Heterogeneous, mixed, multimodal, multi-view and multi-distributional learning * Online, streaming, dynamic and real-time learning * Causality and learning causal models * Multi-instance, multi-label, multi-class and multi-target learning * Semi-supervised and weakly supervised learning * Representation learning of complex interactions, couplings, relations * Deep learning theories and models * Evaluation of data science systems * Open domain/set learning Emerging Impactful Machine Learning Applications * Data preprocessing, manipulation and augmentation * Autonomous learning and optimization systems * Digital, social, economic and financial (finance, FinTech, blockchains and cryptocurrencies) analytics * Graph and network embedding and mining * Machine learning for recommender systems, marketing, online and e-commerce * Augmented reality, computer vision and image processing * Risk, compliance, regulation, anomaly, debt, failure and crisis * Cybersecurity and information disorder, misinformation/fake detection * Human-centered and domain-driven data science and learning * Privacy, ethics, transparency, accountability, responsibility, trust, reproducibility and retractability * Fairness, explainability and algorithm bias * Green and energy-efficient, scalable, cloud/distributed and parallel analytics and infrastructures * IoT, smart city, smart home, telecommunications, 5G and mobile data science and learning * Government and enterprise data science * Transportation, manufacturing, procurement, and Industry 4.0 * Energy, smart grids and renewable energies * Agricultural, environmental and spatio-temporal analytics and climate change Contributions must contain new, unpublished, original and fundamental work relating to the Machine Learning Journal's mission. All submissions will be reviewed using rigorous scientific criteria whereby the novelty of the contribution will be crucial. ==================== Submission Instructions ==================== Submit manuscripts to: http://MACH.edmgr.com. Select this special issue as the article type. Papers must be prepared in accordance with the Journal guidelines: https://www.springer.com/journal/10994 All papers will be reviewed following standard reviewing procedures for the Journal. ==================== Key Dates ==================== We will have a continuous submission/review process starting in Oct. 2021. Last paper submission deadline: 1 April 2022 Paper acceptance: 1 June 2022 Camera-ready: 15 June 2022 ==================== Guest Editors ==================== Longbing Cao, University of Technology Sydney, Australia Jo?o Gama, University of Porto, Portugal Nitesh Chawla, University of Notre Dame, United States Joshua Huang, Shenzhen University, China Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From stephan.petrone at gmail.com Thu Mar 3 05:39:34 2022 From: stephan.petrone at gmail.com (Stephan Petrone) Date: Thu, 3 Mar 2022 11:39:34 +0100 Subject: Connectionists: Metaheuristics International Conference 2022 @ Ortigia-Syracuse, Italy Message-ID: Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. ********************************************************* MIC 2022 - 14th Metaheuristics International Conference 11-14 July 2022, Ortigia-Syracuse, Italy https://www.ANTs-lab.it/mic2022/ mic2022 at ANTs-lab.it ********************************************************* ** Submission deadline: 30th March 2022 ** ** Proceedings in LNCS Volume, Springer ** ** Special Issue in ITOR journal ** ** 7 Plenary Speakers ** ** SUBMISSION SYSTEM ALREADY OPEN ** https://www.easychair.org/conferences/?conf=mic2022 *Scope of the Conference ======================== The *Metaheuristics International Conference* (MIC) conference series was established in 1995 and this is its 14th edition! MIC is nowadays the main event focusing on the progress of the area of Metaheuristics and their applications. As in all previous editions, provides an opportunity to the international research community in Metaheuristics to discuss recent research results, to develop new ideas and collaborations, and to meet old and make new friends in a friendly and relaxed atmosphere. Considering the particular moment, *the conference will be held in presence and online mode*. Of course, in case the conference will be held in presence, the organizing committee will ensure compliance of all safety conditions. MIC 2022 is focus on presentations that cover different aspects of metaheuristic research such as new algorithmic developments, high-impact and original applications, new research challenges, theoretical developments, implementation issues, and in-depth experimental studies. MIC 2022 strives a high-quality program that will be completed by a number of invited talks, tutorials, workshops and special sessions. *Plenary Speakers ======================== + Christian Blum, Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC) + Kalyanmoy Deb, Michigan State University, USA + Fred Glover, Meta-Analytics, Inc., USA + Salvatore Greco, University of Catania, Italy + Holger H. Hoos, Leiden University, The Netherlands + Gary Kochenberger, University of Colorado, USA + El-Ghazali Talbi, University of Lille, France Important Dates ================ Submission deadline March 30th, 2022 Notification of acceptance May 10th, 2022 Camera ready copy May 25th, 2022 Early registration May 25th , 2022 Submission Details =================== MIC 2022 accepts submissions in three different formats: S1) *Regular paper*: novel and original research contributions of a *maximum of 15 pages* (LNCS format) S2) *Short paper*: extended abstract of novel research works of *6 pages* (LNCS format) S3) *Oral/Poster presentation*: high-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication. All papers must be prepared *using Lecture Notes in Computer Science (LNCS) template*, and must be submitted in PDF at the link: https://www.easychair.org/conferences/?conf=mic2022 Proceedings and special issue ============================ Accepted papers in *categories S1 and S2* will be published as *post-proceedings* in *Lecture Notes in Computer Science* series by Springer. Accepted contributions of *category S3* will be considered for oral or poster presentations at the conference based on the number received and the slots available, and *will not be included into the LNCS proceedings*. An electronic book instead will be prepared by the MIC 2022 organizing committee, and made available on the website. In addition, a post-conference special issue in *International Transactions in Operational Research (ITOR)* will be considered for the significantly extended and revised versions of selected accepted papers from categories S1 and S2. Conference Location ==================== MIC 2022 will be held in the beautiful Ortigia island, the historical centre of the city of Syracuse, Sicily-Italy. Syracuse is very famous for its ancient ruins, with particular reference to the Roman Amphitheater, Greek Theatre, and the Orecchio di Dionisio (Ear of Dionisio) that is a limestone cave shaped like a human ear. Syracuse is also the city where the greatest mathematician Archimede was born. https://www.siracusaturismo.net/multimedia_lista.asp MIC'2022 Conference Chairs ============================== Conference Chairs - Luca Di Gaspero, University of Undine, Italy - Paola Festa, University of Naples, Italy - Amir Nakib, Universit? Paris Est Cr?teil, France - Mario Pavone, University of Catania, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Thu Mar 3 09:33:09 2022 From: Pavis at iit.it (Pavis) Date: Thu, 3 Mar 2022 14:33:09 +0000 Subject: Connectionists: Fellow intern in Augmented Reality - IIT Genova, Italy In-Reply-To: <3801db23344b42c78c1b9fd4df410372@iit.it> References: <3801db23344b42c78c1b9fd4df410372@iit.it> Message-ID: Fellow intern in Augmented Reality - IIT Genova, Italy - (22000029) Project: MEMEX ? EU PROJECT Commitment & contract: collaboration contract, up to 5 months Location: GENOVA, ITALY WHO WE ARE At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centres around Italy and two outer-stations based in the US for a truly interdisciplinary experience. YOUR TEAM You?d be working in a multicultural and multi-disciplinary group, where Computer Vision, Computational Intelligence experts, Physicist and Engineers collaborate, each with their own expertise, to carry out common research. The Pattern Analysis and Computer Vision (PAVIS) Research Line is coordinated by Dr. Alessio Del Bue who has extensive experience in Artificial Intelligence (AI) approaches to understand the physical space and the human behaviors within it. The research focuses on Spatial AI (Perceive and understand autonomously the real physical world, both static and dynamic, with its corresponding spatial) and Social AI (Perceive and understand humans and their behaviors as observed by cameras in relation to the physical spaces they are interacting with). We are looking for a fellowship candidate from either MSc or PhD programs to join our team and work on the MEMEX EU Project (https://memexproject.eu/en/) for the research and development of city-scale Augmented Reality. Within PAVIS Research Line of IIT, you will work closely within a small team (~5 people) working on the MEMEX project with close supervision and a team spirit for a common objective. Beyond this, you will receive experience in working in a Europe wide multi-partner consortium with social, technological and research partners. Specifically, the research and development will focus on one or more of the following: Enhancing anchor-based or researching anchor-free user localization; Geolocalising objects within AR; Assistive technologies to increase the scale of AR capabilities; The activities may include building to improve open-access and crowd-sourced information such as OpenStreetMap, Wikidata and Mapillary. Within the team, your main responsibilities will be: Develop algorithms and research for large-scale AR; Support the activities of the MEMEX project and its ambitious objectives; Produce demonstrable output through app demos and/or publications. WHAT WOULD MAKE YOU SHINE Achieved or working towards MSc or PhD in Computer Science (or related field) Experience of working on AR application development Proficiency in coding in Java/C#/Python English spoken and written EXTRA AWESOME Experience of GoogleAR Core Experience of Unity Knowledge of Deep Learning libraries (PyTorch/Tensorflow) COMPENSATION & BENEFITS Competitive salary package for international standards Wide range of staff discounts Flexible working time Candidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years. WHAT?S IN FOR YOU? An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us! We like contamination and encourage you to mingle and discover what other people are up to in our labs! If paperwork is not your piece of cake, we got you! There?s a specialized team working to help you with that, especially during your relocation! If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations. If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society! We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission! If you feel this tickles your appetite for change, do not hesitate and apply! HOW TO APPLY Please submit your application using the online form here: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=22000029 and including a detailed CV (max 2pg), university transcripts, cover letter (max 300 words description of interest, outlining motivation, experience and qualifications) and contact details of 2 references. Application?s deadline: 26th March 2022 We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: +39 010 28961 - email: dpo at iit.it - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening). -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Thu Mar 3 09:52:06 2022 From: Pavis at iit.it (Pavis) Date: Thu, 3 Mar 2022 14:52:06 +0000 Subject: Connectionists: Fellow intern in Geolocalising Knowledge Graphs - IIT Genova, Italy In-Reply-To: References: Message-ID: Fellow intern in Geolocalising Knowledge Graphs - (22000028) Project: MEMEX ? EU PROJECT Commitment & contract: collaboration contract, up to 5 months Location: GENOVA, ITALY WHO WE ARE At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centres around Italy and two outer-stations based in the US for a truly interdisciplinary experience. YOUR TEAM You?d be working in a multicultural and multi-disciplinary group, where Computer Vision, Computational Intelligence experts, Physicist and Engineers collaborate, each with their own expertise, to carry out common research. The Pattern Analysis and Computer Vision (PAVIS) Research Line is coordinated by Dr. Alessio Del Bue who has extensive experience in Artificial Intelligence (AI) approaches to understand the physical space and the human behaviors within it. The research focuses on Spatial AI (Perceive and understand autonomously the real physical world, both static and dynamic, with its corresponding spatial) and Social AI (Perceive and understand humans and their behaviors as observed by cameras in relation to the physical spaces they are interacting with). We are looking for a fellowship candidate from either MSc or PhD programs to join our team and work on the MEMEX EU Project (https://memexproject.eu/en/) for the research and development of Knowledge Graphs to locate Cultural Heritage. Within PAVIS research line of IIT, you will work closely within a small team (~5 people) working on the MEMEX project with close supervision and a team spirit for a common objective. Beyond this you will receive experience in working in a Europe wide multi-partner consortium with social, technological and research partners. Specifically, the research and development will focus on one or more of the following: Detection via retrieval of Cultural objects Exploiting image scene graphs for detection of Cultural objects Text-based detection of objects in images (zero-shot learning) Few-shot Cultural Heritage detection using Knowledge graphs within AR The activities may include building to improve open-access and crowd-sourced information such as Wikidata, OpenStreetMap, and Mapillary. Within the team, your main responsibilities will be: Develop algorithms and research to detect and locate Cultural Heritage; Support the activities of the MEMEX project and its ambitious objectives; Produce demonstrable output through app demos and/or publications. WHAT WOULD MAKE YOU SHINE Achieved or working towards MSc or PhD in Computer Science (or related field); Experience in working with graphs; Proficiency in coding in Python; English spoken and written. EXTRA AWESOME Knowledge of Deep Learning libraries (PyTorch/Tensorflow); Knowledge of Deep learning graph libraries (e.g. PyTorch Geometric, DGL); Knowledge of Neo4j or similar Knowledge Graph packages. COMPENSATION & BENEFITS Competitive salary package for international standards Wide range of staff discounts Flexible working time Candidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years. WHAT?S IN FOR YOU? An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us! We like contamination and encourage you to mingle and discover what other people are up to in our labs! If paperwork is not your piece of cake, we got you! There?s a specialized team working to help you with that, especially during your relocation! If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations. If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society! We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission! If you feel this tickles your appetite for change, do not hesitate and apply! HOW TO APPLY Please submit your application using the online form here https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=22000028 and including a detailed CV (max 2pg), university transcripts, cover letter (max 300 words description of interest, outlining motivation, experience and qualifications) and contact details of 2 references. Application?s deadline: 26th March 2022 We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: +39 010 28961 - email: dpo at iit.it - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening). -------------- next part -------------- An HTML attachment was scrubbed... URL: From steve at bu.edu Thu Mar 3 17:58:14 2022 From: steve at bu.edu (Grossberg, Stephen) Date: Thu, 3 Mar 2022 22:58:14 +0000 Subject: Connectionists: A new podcast about how neural models can link brain to mind In-Reply-To: References: Message-ID: Dear Connectionist colleagues, I just enjoyed a wide-ranging conversation about my work on Roi Yozevitch?s podcast: https://www.youtube.com/watch?v=JwqFmmhBbqA&t=49s Among other topics, we discussed my recently published Magnum Opus: Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 https://global.oup.com/academic/product/conscious-mind-resonant-brain-9780190070557?cc=us&lang=en& Best, Steve Grossberg sites.bu.edu/steveg -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu Mar 3 22:22:09 2022 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 03 Mar 2022 19:22:09 -0800 Subject: Connectionists: NEURAL COMPUTATION - March 1, 2022 In-Reply-To: Message-ID: Neural Computation - Volume 34, Number 3 - March 1, 2022 Available online for download now: http://www.mitpressjournals.org/toc/neco/34/3 http://cognet.mit.edu/content/neural-computation ----- Articles Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch Doris Voina, Stefano Recanatesi, Brian Hu, Eric Shea-Brown, and Stefan Mihalas Manifold Alignment Aware Ants: A Markovian Process for Manifold Extraction Mohammad Mohammadi, Peter Tino, and Kerstin Bunte Letters Predicting the Future With a Scale-invariant Temporal Memory for the Past Wei Zhong Goh, Varun Ursekar, and Marc W Howard Active Role of Self-sustained Neural Activity on Sensory Input Processing: A Minimal Theoretical Model Bruno A Santos, Rogerio M Gomes, Xabier E. Barandiaran, and Phil Husbands TARA: Training and Representation Alteration for AI Fairness and Domain Generalization William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, and Philippe Burlina Understanding Memories of the Past in the Context of Different Complex Neural Network Architectures Arend Hintze, Clifford Bohm, and Douglas Kirkpatrick Active Classification With Uncertainty Comparison Queries Zhenghang Cui, Issei Sato Dynamical Mechanism of Sampling-based Probabilistic Inference Under Probabilistic Population Codes Kohei Ichikawa, Asaki Kataoka ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From vito.trianni at istc.cnr.it Fri Mar 4 03:28:37 2022 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Fri, 4 Mar 2022 09:28:37 +0100 Subject: Connectionists: [jobs] last call for postdoc position: active monitoring for UAV swarms in precision agriculture - ISTC-CNR, Rome, Italy In-Reply-To: References: Message-ID: <1D135E97-9684-41CB-8DF5-B8F7847C1CCD@istc.cnr.it> Last call for applications to a postdoc position. Deadline for applications is March the 15th (see below for instructions on how to apply). The research will be conducted in the context of the AGR-o-RAMA research project (http://www.agrorama.it), at the ISTC-CNR (https://istc.cnr.it) in Rome, Italy, under the supervision of Vito Trianni, and in collaboration with Sapienza and RomaTre university. The starting date should be around May the 1st, 2022, with some flexibility. A valid working permit in Europe/Italy is an asset. Candidates nearing the end of the PhD (up to 6 months from the defence) are also welcome. _________________________________________________ Applications Only for inquiries, you can contact Vito Trianni by email (vito.trianni _at_ istc.cnr.it). Your official candidature must instead be submitted by March the 15th following the procedure below, which also states eligibility conditions and other relevant information: Information for applicants ? English: http://bandi.urp.cnr.it/doc-assegni/documentazione/12193_DOC_EN.pdf Information for applicants ? Italian: http://bandi.urp.cnr.it/doc-assegni/documentazione/12193_DOC_IT.pdf Note that, despite mentioned in the eligibility conditions, knowledge of Italian IS NOT required. _________________________________________________ Research Description AGR-o-RAMA aims at the study of autonomous intelligent drones capable of actively monitoring a field in order to identify and map features of interests (e.g., weed or pests) that could be distributed heterogeneously within the field. Moving beyond the classical approach of a uniform coverage of the field with predetermined mission plans for remote sensing, AGR-o-RAMA proposes to adaptively define the sampling frequency and resolution in order to focus on the areas of interest, while mildly monitoring areas that are devoid of relevant features. Active monitoring strategies will be developed and tested both with a single drone and with groups of drones. In the latter case, the drones will coordinate to explore the field in parallel and collaborate to identify the areas of interest, maximising both efficiency and accuracy. _________________________________________________ Skills: - Programming abilities in C++ and Python (required) - Knowledge of ROS/ROS2 (required) - Knowledge of deep learning frameworks (asset) - Knowledge of Unity (asset) - UAV Piloting abilities (asset) _________________________________________________ Background knowledge: - multi-robot systems - Information-based motion planning - Bayesian inference - Information theory - Active vision ======================================================================== Vito Trianni, Ph.D. vito.trianni@(no_spam)istc.cnr.it ISTC-CNR http://www.istc.cnr.it/people/vito-trianni Via San Martino della Battaglia 44 Tel: +39 06 44595277 00185 Roma Fax: +39 06 44595243 Italy ======================================================================== From ioannakoroni at csd.auth.gr Fri Mar 4 04:22:00 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Fri, 4 Mar 2022 11:22:00 +0200 Subject: Connectionists: Free e-lecture and Q & A session on 'How to get involved and get the most out of the International AI Doctoral Academy (AIDA) web system', Tuesday 15/3/2022, 17:00-18:00 CET References: <003801d82ecf$d1441e80$73cc5b80$@csd.auth.gr> Message-ID: <068a01d82fa9$4dea2a40$e9be7ec0$@csd.auth.gr> Dear AI Professors, Postdocs, PhD/MSc students, AI professionals and enthusiasts the International AI Doctoral Academy (AIDA) https://www.i-aida.org/ is doing very well. It has 73 excellent members (Universities, Research Centers and Companies with top AI record), 100 AIDA Lecturers (offering courses and/or supervising AIDA students) and 200 AIDA Students (PhD candidates or Postdoc researchers from AIDA members). So far, in its first year (2021), it had a robust educational offer, consisting of many AI short courses, summer schools and semester courses/lecture series, as well as top AI Excellence Lectures on bi-weekly basis. External AI Professors (from outside AIDA membership) and , of course AIDA Lecturers, can offer AIDA courses, by proper arrangements with the AIDA Educational Planning Committee (send a message to pitas at csd.auth.gr ) External students (from outside AIDA membership) and of course AIDA Students can register in AIDA courses, according to the arrangements of each course. Anybody can attend for free lectures in the AIDA Excellence Lecture series: https://www.i-aida.org/event_cat/ai-lectures/ https://www.i-aida.org/resource_cat/ai-excellence-lecture-series-repository/ and access material in the AIDA educational repository: https://www.i-aida.org/resource_cat/aida-educational-resource-repository/ These offers continue in the Spring semester 2022, as you can see in the AIDA www site: https://www.i-aida.org/phd-studies/short-courses/ https://www.i-aida.org/phd-studies/lecture-series-2/ Furthermore, AIDA started collecting quality AI educational material that can be found in: https://www.i-aida.org/resource_cat/aida-educational-resource-repository/ https://www.i-aida.org/resource_cat/ai-excellence-lecture-series-repository/ The AIDA web system (beta version) is in good state, thanks to the efforts of LOBA and the AUTH AIIA Lab staff. You are invited to attend the 1-hour free e-lecture and Q & A session on 'How to get involved and get the most out of the AIDA web system', on Tuesday 15/3/2022, 17:00-18:00 CET. Please book this time slot! Telco Zoom link: https://authgr.zoom.us/j/94866425617 Passcode: 867064 You will learn how-to: 1. become AIDA Lecturer and start offering AIDA courses or contributing to AIDA Educational Resource Repository 2. become AIDA Student and start attending AIDA courses that will enter your AIDA Certificate of Course Attendance (CCA) and/or use AIDA educational resources 3. get involved in AIDA activities 4. ask your Institution (University, Research Center or Company with AI record) to become AIDA member. It is best to attend, even if you are already AIDA Lecturer or Student and you know things, in order to avoid errors and make the most out of the AIDA Web system. In the Q & A session, priority will be given to AIDA Lecturer and AIDA Student questions. Anybody coming from AIDA members or external is welcomed to attend and spread the word. AIDA aims high to become an international reference point on AI excellence. To continue being informed on AIDA educational offers, you may want to register to the AIDA email list, following instructions in https://lists.auth.gr/sympa/info/aida Best regards Prof. Ioannis Pitas AIDA Chair Post scriptum: To stay current on CVML matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From trentin at dii.unisi.it Fri Mar 4 04:55:49 2022 From: trentin at dii.unisi.it (Edmondo Trentin) Date: Fri, 4 Mar 2022 10:55:49 +0100 Subject: Connectionists: Call for Special Session proposals - 10th IAPR TC3 ANNPR2022 (Dubai) Message-ID: CALL FOR SPECIAL-SESSION PROPOSALS 10th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2022) November 24th - 26th, 2022 Dubai Campus of Heriot-Watt University, Dubai, UAE URL: https://annpr2022.com/ Sponsored by the International Association for Pattern Recognition (IAPR) The Workshop proceedings will be published in the Springer LNAI series ANNPR 2022 solicits proposals for special sessions within the technical scope of the Workshop. Special sessions are intended to supplement the regular program of the Workshop. Each special session should have a minimum of 4 papers and a maximum of 6 papers that will not be subject to the regular review cycle, the session organizers have full authority in soliciting and accepting papers for the session in compliance with the Review standards of ANNPR 2022. The session organizer (no more than two) designate a Session Chair and a Co-chair. Papers submitted to special session shall comply with the style and page limits of ANNPR 2022 (see below). Important Dates March 31st, 2022 ?Special session proposal June 5th, 2022 ? Paper submission July 29th, 2022 ? Notification of acceptance Sept 4th, 2022 ? Camera-ready Sept 4th, 2022 ? Early registration Workshop dates: Nov 24-26, 2022 Paper Submission: Perspective Authors shall submit their paper in Springer LNCS/LNAI format. Instructions for Authors, LaTeX templates, etc. are available at the Springer LNCS/LNAI web-site (see http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines). The maximum paper length is 12 pages. Submission of a paper constitutes a commitment that, if accepted, at least one of the Authors will complete an early registration to the workshop. On-line submission via EasyChair will be made available in due time through the ANNPR2022 website. For more information, please visit us at: https://annpr2022.com/ Do not hesitate to contact the ANNPR 2022 Chairs for any inquiries. ANNPR 2022 Chairs Neamat El Gayar, Heriot-Watt University, Dubai (UAE) Mirco Ravanelli, Concordia University, Montr?al (Canada) Hazem Abbas, Ain Shams University, Cairo (Egypt) Edmondo Trentin, University of Siena, Siena (Italy) ----------------------------------------------- Edmondo Trentin, PhD Dip. Ingegneria dell'Informazione e Scienze MM. V. Roma, 56 - I-53100 Siena (Italy) E-mail: trentin at dii.unisi.it Voice: +39-0577-234636 Fax: +39-0577-233602 WWW: http://www.dii.unisi.it/~trentin/HomePage.html From paolo.cardone95 at gmail.com Fri Mar 4 05:25:09 2022 From: paolo.cardone95 at gmail.com (Paolo Cardone) Date: Fri, 4 Mar 2022 11:25:09 +0100 Subject: Connectionists: Postdoctoral position - Coma Science Group - ULiege, Belgium Message-ID: Dear colleagues, We are seeking a highly motivated postdoc for a 3 years multicentric project entitled ?Combining model-free and model-based biomarkers for consciousness diagnosis? in our lab . The candidate will help develop computational whole-brain models based on single-patient neuroimaging data, extract metrics from the adjusted model parameters within in-silico simulations, and test the utility of these biomarkers for the diagnosis of patients with chronic disorders of consciousness. For more information, check here . For informal queries, please contact Dr. Olivia Gosseries . Kind regards, Paolo Cardone -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CSG_Post-Doc_open_Call.pdf Type: application/pdf Size: 180722 bytes Desc: not available URL: From timofte.radu at gmail.com Fri Mar 4 05:18:58 2022 From: timofte.radu at gmail.com (Radu Timofte) Date: Fri, 4 Mar 2022 11:18:58 +0100 Subject: Connectionists: [CFP] CVPR 2022 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges Message-ID: Apologies for multiple postings *********************************** CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 11 CHALLENGES NTIRE: 7th New Trends in Image Restoration and Enhancement workshop and image, video, and multi-frame challenges. In conjunction with CVPR 2022, June 19, New Orleans, US. Website: https://data.vision.ee.ethz.ch/cvl/ntire22/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video restoration, enhancement, manipulation on constrained settings ? Image/video processing on mobile devices ? Visual domain translation ? Multimodal translation ? Perceptual enhancement ? Perceptual manipulation ? Depth estimation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation, depth estimation ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. https://cvpr2022.thecvf.com/author-guidelines The review process is double blind. Accepted and presented papers will be published in the 2022 CVPR Workshops Proceedings by IEEE and CVF. Author Kit: https://cvpr2022.thecvf.com/sites/default/files/2021-10/cvpr2022-author_kit-v1_1-1.zip Submission site: https://cmt3.research.microsoft.com/NTIRE2022 WORKSHOP DATES ? *Regular Papers Submission Deadline: March 20, 2022* * (extended) * ? Challenge Papers Submission Deadline: April 11, 2022 (extended) IMAGE CHALLENGES 1. *Spectral Reconstruction from RGB* 2. *Demosaicing * 3. *Inpainting* 4. *Perceptual Image Quality Assessment* 5. *Learning the Super-Resolution Space * 6. *Efficient Super-Resolution* 7. *Night Photography Rendering * VIDEO / MULTI-FRAME CHALLENGES 1. *Super-Resolution and Enhancement of Compressed Videos* 2. *Stereo Super-Resolution* 3. *Burst Super-Resolution* 4. *High Dynamic Range (HDR) * To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE 2022 web page: https://data.vision.ee.ethz.ch/cvl/ntire22/ CHALLENGES DATES ? Release of train data: January 25, 2022 ? Competitions end: *March 30, 2022* (extended) SPEAKERS (TBA) SPONSORS (TBA) Website: https://data.vision.ee.ethz.ch/cvl/ntire22/ Contact: radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From oscar.fontenla at udc.es Fri Mar 4 05:56:13 2022 From: oscar.fontenla at udc.es (=?utf-8?B?w5NzY2FyIEZvbnRlbmxhIFJvbWVybw==?=) Date: Fri, 4 Mar 2022 10:56:13 +0000 Subject: Connectionists: [CFP] Special Session on AI, Sustainability and Green Algorithms at KES 2022 In-Reply-To: References: Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: Invited Session on "Artificial Intelligence, Sustainability and Green Algorithms" at KES 2022 26th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES 2022) 7 - 9 September, 2022 - Verona, Italy and virtual - http://kes2022.kesinternational.org/submission.php Artificial Intelligence, Sustainability and Green algorithms Organized by: Amparo Alonso-Betanzos, Veronica Bolon-Canedo, ?scar Fontenla-Romero, Bertha Guijarro-Berdi?as, (CITIC - University of A Coru?a, Spain) The incorporation of Artificial Intelligence (AI) into all areas of society is among the great challenges that we are facing nowadays. Especially after the Co-Vid 19 pandemic, its relation to sustainability stand out, as this will be one of the pillars of the future. We are referring to sustainability in a broad sense that is, to the use of AI applied to environmental aspects, but also to energy, economy and social perspectives. Moreover, AI itself should also pursue sustainability in massive data handling and processing, as well as in the consumption of machine learning algorithms. In this special session, we aim at studies showing the use of AI for innovative and perhaps multidisciplinary solutions that address smart and sustainable growth, new tools for prevention, alert and emergency management, mobility management, reliable and energy efficient processes, sustainable land management, and models of social innovation, among others. In addition to this, the development of AI algorithms that have at their core the idea of ??being sustainable from an energy and environmental point of view is also of great interest. Thus, topics such as low-resolution algorithms, edge computing, efficient platforms, and in general scalable and sustainable algorithms and their applications are also of interest to complete a holistic view of Sustainability and Artificial Intelligence. We invite papers on both practical and theoretical issues about sustainability, artificial intelligence and green algorithms, as well as review papers with the state-of-the-art techniques and the open challenges encountered in this field. In particular, topics of interest include, but are not limited to: - Development of artificial intelligence applications to sustainability, including environmental aspects, energy, economy and social perspectives. - Green computing for big data learning - Development of energy-efficient artificial intelligence algorithms - Green algorithms for IoT and computation on the edge - Low-power circuits and energy-oriented algorithms for parallel computing - Green practices in artificial intelligence - AI and the 2030 Agenda for Sustainable Development Submitted papers will be reviewed according to the KES reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. Please, refer to http://kes2022.kesinternational.org/submission.php. IMPORTANT DATES: Paper submission deadline: April 8th 2022 Paper decision notification: May, 20th 2022 Final paper publication files to be received by: June 3rd 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mschilli at techfak.uni-bielefeld.de Fri Mar 4 09:32:01 2022 From: mschilli at techfak.uni-bielefeld.de (Malte Schilling) Date: Fri, 4 Mar 2022 15:32:01 +0100 Subject: Connectionists: Join us for the DataNinja Spring School Message-ID: We invite you to our upcoming spring school on the topic of Artificial Intelligence ? perspectives and challenges of real data. The DataNinja Spring School is aimed at PhD students as well as master students or interested researchers from the broad area of Artificial Intelligence and Machine Learning. It is our goal to provide in-depth tutorials on current hot topics which are spanning the spectrum of current Machine Learning approaches with a specific focus on explainable models that allow for inspection. Furthermore, the tutorials are geared towards providing hands-on experiences and empowering the participants to directly apply or transfer methods onto their own tasks or problems. ========================================================== Overview Schedule The Spring School will be held in zoom (register here for a link for the webinar: https://uni-bielefeld.zoom.us/webinar/register/WN_ukHCJRyXTLOAp5KS2xN28A ) Date: 23rd to 25th of March 2022, tutorials as morning sessions (9 AM to 12:30 PM, CET) evening lectures on 23rd and 24th of March at 4:15 PM and there will be a poster session on 23rd of March at 5:15 PM. More information and topics: https://dataninja.nrw/?page_id=762 Tutorial Topics: Explainable AI, Graph Neural Networks, AutoML, Knowledge Graphs, Gaussian Processes. Lectures: - Ethics in AI - Outracing champion GT drivers with deep reinforcement learning, on the recent success of Sony AI in DRL ========================================================== Poster Presentation and Meeting PhDs in ML We will also have a gather.town setup - to meet people, discuss sessions and lectures, and further to host a poster session. You are invited to present your work there (there will be a poster prize - certificate and 300 Euros). For the poster session: This can be your recent findings, current, unfinished and ongoing work, or already an overview of already published work. We would like to ask you to submit a short extended abstract of up to two pages (send it to contact at dataninja.nrw ), until the end of the 22nd of March. ========================================================== Further Information For further information, please contact Malte Schilling (mschilli at techfak.uni-bielefeld.de) and see the website containing more information: https://dataninja.nrw/?page_id=762 For registration (required): https://uni-bielefeld.zoom.us/webinar/register/WN_ukHCJRyXTLOAp5KS2xN28A Organizers: Barbara Hammer (CITEC, Bielefeld University, Germany), Malte Schilling (Machine Learning Group, Bielefeld University) Regards Malte Schilling -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Fri Mar 4 21:33:31 2022 From: nemanja at temple.edu (Nemanja Djuric) Date: Sat, 5 Mar 2022 02:33:31 +0000 Subject: Connectionists: 2nd CfP: The 4th Workshop on "Precognition: Seeing through the Future" @ CVPR 2022 Message-ID: Call for Workshop Papers The 4th Workshop on "Precognition: Seeing through the Future" in conjunction with The 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) New Orleans, June 19th-24th, 2022 https://sites.google.com/view/ieeecvf-cvpr2022-precognition ================= Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems. Through the organization of this workshop we aim to facilitate further discussion and interest within the research community regarding this nascent topic. The workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos, but also precognition in multiple other visual applications, such as: medical imaging, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications. This is the fourth Precognition workshop organized at CVPR. It follows very successful workshops organized since 2019, which featured talks from researchers across a number of industries, insightful presentations, and large attendance. For full programs, slides, posters, and other resources, please visit the websites of earlier Precognition workshops, linked at the workshop website. ================= Topics: The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to: - Early event prediction - Activity and trajectory forecasting - Multi-agent forecasting - Human behavior and pose prediction - Human face aging prediction - Predicting frames and features in videos and other sensors in autonomous driving - Traffic congestion anomaly prediction - Automated Covid-19 prediction in medical imaging - Visual DeepFake prediction - Short- and long-term prediction and diagnoses in medical imaging - Prediction of agricultural parameters from satellite imagery - Databases, evaluation and benchmarking in precognition ================= Submission Instructions: All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. There are two ways to contribute submissions to the workshop: - Extended abstracts submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages. Extended abstracts of already published works can also be submitted. Accepted abstracts will be presented at the poster session, and will not be included in the printed proceedings of the workshop. - Full paper submissions are double-blind peer-reviewed. The submissions are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed (additional information about formatting and style files is available at the website). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings. Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2022 ================= Important Deadlines: Submission : March 19th, 2022 Decisions : April 4th, 2022 Camera-ready : April 8th, 2022 Workshop : June 19th, 2022 (subject to change by the CVPR organizers) ================= Program Committee Chairs: - Dr. Khoa Luu (University of Arkansas) - Dr. Kris Kitani (Carnegie Mellon University) - Dr. Hien Van Nguyen (University of Houston) - Dr. Nemanja Djuric (Aurora Innovation) - Dr. Utsav Prabhu (Google) For further questions please contact a member of the organizing committee at precognition.organizers at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Sat Mar 5 03:03:51 2022 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Sat, 5 Mar 2022 08:03:51 +0000 Subject: Connectionists: ESANN 2022 call for papers Message-ID: ESANN 2022 - 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 5-6-7 October 2022 https://www.esann.org Call for papers The call for papers is available at https://www.esann.org. Deadline for submissions: May 9, 2022. The ESANN conference addresses machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. ESANN 2022 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. The conference will be organized in hybrid mode, with both both in-person and online participation, including for speakers. The physical conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. We hope to receive your submission to ESANN 2022 and to see you in Bruges or online! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Mar 5 06:12:37 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 5 Mar 2022 12:12:37 +0100 (CET) Subject: Connectionists: DeepLearn 2022 Summer: early registration April 1st Message-ID: <825667054.3889252.1646478757910@webmail.strato.com> ****************************************************************** 6th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2022 Summer Las Palmas de Gran Canaria, Spain July 25-29, 2022 https://irdta.eu/deeplearn/2022su/ ***************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: April 1st, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Bournemouth, and Guimar?es. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/index.php?option=com_k2&view=item&layout=item&id=360&Itemid=896 STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wahid Bhimji (Lawrence Berkeley National Laboratory), Deep Learning on Supercomputers for Fundamental Science Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), Machine Learning -- A Paradigm Shift in Human Thought!? Kate Saenko (Boston University), Overcoming Dataset Bias in Deep Learning PROFESSORS AND COURSES: T?lay Adal? (University of Maryland Baltimore County), [intermediate] Data Fusion Using Matrix and Tensor Factorizations Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning: From Theory to Applications in the Natural Sciences Arindam Banerjee (University of Illinois Urbana-Champaign), [intermediate/advanced] Deep Generative and Dynamical Models Mikhail Belkin (University of California San Diego), [intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation Dumitru Erhan (Google), [intermediate/advanced] Visual Self-supervised Learning and World Models Arthur Gretton (University College London), [intermediate/advanced] Probability Divergences and Generative Models Phillip Isola (Massachusetts Institute of Technology), [intermediate] Deep Generative Models Mohit Iyyer (University of Massachusetts Amherst), [intermediate/advanced] Natural Language Generation Irwin King (Chinese University of Hong Kong), [intermediate/advanced] Deep Learning on Graphs Vincent Lepetit (Paris Institute of Technology), [intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding Yan Liu (University of Southern California), [introductory/intermediate] Deep Learning for Time Series Dimitris N. Metaxas (Rutgers, The State University of New Jersey), [intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis Sean Meyn (University of Florida), [introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design Louis-Philippe Morency (Carnegie Mellon University), [intermediate/advanced] Multimodal Machine Learning Wojciech Samek (Fraunhofer Heinrich Hertz Institute), [introductory/intermediate] Explainable AI: Concepts, Methods and Applications Clara I. S?nchez (University of Amsterdam), [introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare Bj?rn W. Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Jonathon Shlens (Apple), [introductory/intermediate] An Introduction to Computer Vision and Convolution Neural Networks Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Csaba Szepesv?ri (University of Alberta), [intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman's Curse of Dimensionality 1. Murat Tekalp (Ko? University), [intermediate/advanced] Deep Learning for Image/Video Restoration and Compression Alexandre Tkatchenko (University of Luxembourg), [introductory/intermediate] Machine Learning for Physics and Chemistry Li Xiong (Emory University), [introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning Ming Yuan (Columbia University), [intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 17, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. ORGANIZING COMMITTEE: Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun Mar 6 16:44:05 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 6 Mar 2022 22:44:05 +0100 Subject: Connectionists: =?utf-8?q?CFP=3A_Advances_in_Information_Systems_?= =?utf-8?q?and_Technologies_=28within_FedCSIS=2722=3B_IEEE_=2354150=3B_COR?= =?utf-8?q?E_rank_B=3B_70_punkt=C3=B3w_MEiN=3B_HYBRID_event=29?= In-Reply-To: References: Message-ID: <4e63b363-a688-bee9-b69d-fae2b21973ab@amu.edu.pl> CALL FOR PAPERS Track 4: Advances in Information Systems and Technologies (AIST'22; https://fedcsis.org/2022/aist) Organized within the scope of 2022 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'22; IEEE #54150; CORE rank B; 70 punkt?w MEiN; HYBRID event) ************************** COVID-19 Information ************************ Conference will take place in Sofia Bulgaria, for those who will be able to make it there. For those who will not be able to reach Sofia, online participation will be made available. ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE AIST is a FedCSIS conference track aiming at integrating and creating synergy between disciplines of information technology, information systems, and social sciences. The track addresses the issues relevant to information technology and necessary for practical, everyday needs of business, other organizations and society at large. This track takes a socio-technical view on information systems and, at the same time, relates to ethical, social and political issues raised by information systems. AIST provides a forum for academics and professionals to share the latest developments and advances in the knowledge and practice of these fields. It seeks new studies in many disciplines to foster a growing body of conceptual, theoretical, experimental, and applied research that could inform design, deployment and usage choices for information systems and technology within business and public organizations as well as households. We call for papers covering a broad spectrum of topics which bring together sciences of information systems, information technologies, and social sciences, i.e., economics, management, business, finance, and education. The track bridges the diversity of approaches that contributors bring to the conference. The main topics covered are: ? Advances in information systems and technologies for business; ? Advances in information systems and technologies for governments; ? Advances in information systems and technologies for education; ? Advances in information systems and technologies for healthcare; ? Advances in information systems and technologies for smart cities; and ? Advances in information systems and technologies for sustainable development. AIST invites papers covering the most recent innovations, current trends, professional experiences and new challenges in the several perspectives of information systems and technologies, i.e. design, implementation, stabilization, continuous improvement, and transformation. It seeks new works from researchers and practitioners in business intelligence, big data, data mining, machine learning, cloud computing, mobile applications, social networks, internet of thing, sustainable technologies and systems, blockchain, etc. Extended versions of high-marked papers presented at technical sessions of AIST 2015-2020 have been published with Springer in volumes of Lecture Notes in Business Information Processing: LNBIP 243, LNBIP 277, LNBIP 311, LNBIP 346, LNBIP 380 and LNBIP 413. Extended versions of selected papers presented during AIST 2022 will be published in Lecture Notes in Business Information Processing series (LNBIP, Springer). TRACK 4 INCLUDES TECHNICAL SESSIONS: ? Data Science in Health, Ecology and Commerce (4th?Workshop?DSH'22) + https://fedcsis.org/2022/dsh ? Information Systems Management (17th?Conference?ISM'22) + https://www.fedcsis.org/2022/ism ? Knowledge Acquisition and Management (28th?Conference?KAM'22) + https://www.fedcsis.org/2022/kam FedCSIS'22 KEYNOTE SPEAKERS: * Krassimir Atanassov Bulgarian Academy of Sciences, Sofia, Bulgaria https://scholar.google.com/citations?hl=pl&user=K-vuWKsAAAAJ * Thomas Blaschke University of Salzburg, Salzburg, Austria https://scholar.google.com/citations?user=kMroJzUAAAAJ * Chris Cornelis Ghent University, Ghent, Belgium https://scholar.google.com/citations?hl=pl&user=ln46HlkAAAAJ * Franco Zambonelli University of Modena e Reggio Emilia, Bologna, Italy https://scholar.google.com/citations?hl=pl&user=zxulxcoAAAAJ ZDZISLAW PAWLAK BEST PAPER AWARD The Professor Zdzislaw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS 2022 are eligible to be considered as the award winners. This award will be granted independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2022/zp_award PAPER PUBLICATION: + Papers should be submitted by May 10, 2022 (strict deadline, no extensions, submission system is open, via EasyChair https://easychair.org/my/conference?conf=fedcsis2022). + Preprints will be published online. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will be posted within the conference Web portal. Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). + ?The Best Paper? award will be granted to the outstanding quality paper presented at AIST?2022. This award will be independent of the Zdzis?aw Pawlak Best Paper Award. IMPORTANT DATES: + Paper submission (strict deadline): May 10, 2022, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2022 + Author notification: July 6, 2022 + Final paper submission and registration: July 12, 2022 + Payment (early fee deadline): August 2, 2022 + Conference date: September 4-7, 2022 Please forward this announcement to your colleagues and associates who could be interested in it. TRACK CHAIRS: ? Ziemba, Ewa,?University of Economics in Katowice, Poland ? Chmielarz, Witold,?University of Warsaw, Poland ? Cano, Alberto, Virginia Commonwealth University, Richmond, United States Contact: aist-track at fedcsis.org PROGRAM CHAIRS: ? Chmielarz, Witold,?University of Warsaw, Poland ? Miller, Gloria, maxmetrics, Germany ? W?tr?bski, Jaros?aw,?University of Szczecin, Poland ? Ziemba, Ewa,?University of? Economics in Katowice,?Poland Contact: aist-program at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From julia.verhoef at donders.ru.nl Mon Mar 7 01:18:12 2022 From: julia.verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Mon, 7 Mar 2022 06:18:12 +0000 Subject: Connectionists: Extension of the deadline for submitting applications for the Postdoctoral position within Language in Interaction Message-ID: <8de88383cb954f6d843e321721a62591@EXPRD08.hosting.ru.nl> Dear all, The deadline for submitting applications for the position of the Postdoctoral Researcher within the Language in Interaction consortium has been extended to 21 March 2022. For more information, please visit our website www.languageininteraction.nl Postdoctoral researcher for Dutch Research Consortium 'Language in Interaction' (Senior) Dutch Research Consortium 'Language in Interaction' Maximum salary: ? 5230 gross/month Vacancy number: 25.01.2022 Application deadline: March 15, 2022, 23:59.00 (CET) Responsibilities The Language in Interaction research consortium invites applications for two senior postdoctoral positions. We are looking for highly motivated candidates to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behavior. You will contribute to the integration of empirical research in our consortium and will aid in the coordination of ?Theory of Language? meetings in which cutting edge research is discussed by consortium researchers. You will act in close collaboration with Peter Hagoort, programme director of the consortium. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Moreover, it will provide the opportunity to contribute to developing a theoretical framework for our understanding of the human language faculty. Work environment The Netherlands has an outstanding track record in the language sciences. The research consortium ?Language in Interaction?, sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands with a research program on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterize and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? You will be appointed at one of two participating institutes: The Max Planck Institute for Psycholinguistics in Nijmegen or the Donders Institute for Brain, Cognition and Behaviour (Donders Centre for Cognitive Neuroimaging), also located in Nijmegen. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you ? a PhD in an area related to the neurobiology of language and/or language sciences; ? expertise/interest in theoretical neuroscience and language; ? expertise / interest in theoretical neuroscience and language; ? an integrative mindset; ? a theory-driven approach; ? good communication skills; ? excellent proficiency in written and spoken English. What we have to offer The positions will be held at one of the participating institutes (Max Planck Institute Nijmegen or Donders Institute for Brain, Cognition and Behavior at the Donders Centre for Cognitive Neuroimaging). ? Employment: 1,0 fte; ? Employment at the Max Planck Institute or Donders Institute at the Radboud University; ? Starting date June 30th 2022 for a period of maximally 24 months; ? Starting salary will be based on previous work experience; ? Gross salary at the Max Planck Institute will be between ? 4187 and ? 4911 per month; ? Gross salary at the Radboud University will be between ? 3821 and ? 5230 per month (salary scale 11); ? In addition to the salary: an 8% holiday allowance; ? Each participating institute has a number of regulations that make it possible for employees to create a good work-life balance. Other Information The participating institutes are an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourage applications from women and minorities. Would you like to know more? Further information on the Language in Interaction Consortium. For more information about this vacancy, please contact: Prof. dr. Peter Hagoort, programme director Language in Interaction E-mail: peter.hagoort at donders.ru.nl Tel: ++ 31-24-3610648/651 Fax: ++ 31-24-3610652 Are you interested? Applications can be submitted to Julia Verhoef (secretary of the Language in Interaction consortium; Julia.Verhoef at donders.ru.nl) in electronic form. Your application should include (and be limited to) the following attachments: ? a cover letter; ? your curriculum vitae, including, if applicable, a list of publications and the names of at least two persons who can provide references. Please apply before March 15, 2022, 23:59.00 (CET). Kind regards, Julia Verhoef Secretary - Language in Interaction Consortium Radboud University | Donders Centre for Cognitive Neuroimaging (DCCN) | room 0.026 Kapittelweg 29, 6525 EN Nijmegen, The Netherlands | P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands | T: +31 (0)24 3666272 | E: J.Verhoef at donders.ru.nl|Office hours: 9-14 hr on Mon - Fri -------------- next part -------------- An HTML attachment was scrubbed... URL: From sanjay.ankur at gmail.com Mon Mar 7 04:11:53 2022 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Mon, 7 Mar 2022 09:11:53 +0000 Subject: Connectionists: INCF/OCNS Software working group survey on software usage Message-ID: <20220307091153.2k6dihuxmkcp5jsu@thor> Dear all, We, the INCF/OCNS Software working group, are conducting a short anonymous survey to collect information on the usage of common software tools in comp-neuro. Could we please request you to spend 2 minutes of your time to fill it out here: https://forms.gle/NXWv2CwtWBSB9BXv9 The information gathered in the survey will be used to organise sessions/workshops related to the software, and improve awareness about them and their maintenance. On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London From jbjerva at cs.aau.dk Mon Mar 7 04:25:05 2022 From: jbjerva at cs.aau.dk (Johannes Bjerva) Date: Mon, 7 Mar 2022 09:25:05 +0000 Subject: Connectionists: Three fully-funded PhD positions (NLP/CL) in Copenhagen, Denmark (AAU) Message-ID: Three (3) fully funded PhD positions in NLP / Computational Linguistics are available at the Copenhagen campus of the Department of Computer Science, Aalborg University (AAU). The positions are funded by the Carlsberg Foundation, and are broadly speaking on the topic of Low-Resource Multilingual NLP [1]. We are interested in candidates with profiles ranging from (i) a linguistic focus (ideally with experience in computational linguistics) to (ii) a technical focus, including NLP, machine learning, or artificial intelligence more broadly. There is a substantial amount of freedom in terms of research direction, and the conditions offered when doing a PhD in Denmark are hard to beat. Interested applicants are encouraged to reach out to me at jbjerva at cs.aau.dk. * Application deadline: 15 April. * Interviews likely in early May. * Starting date: 1 September. * Applicants should expect to finish their Master's degrees by the summer. * Salary is state-mandated and ranges from 26k-32k DKK + pension and supplements per month. [2] The ratio of salary/cost-of-living is one of the best in the world. * Quality of life in Copenhagen is high, and getting around by bike is both safe and easy - the AAU campus in Copenhagen is located by the waterfront, close to the city, and easily accessible both by bike and public transport. Apply here: https://www.vacancies.aau.dk/show-vacancy/?vacancy=1183738 [1] https://www.carlsbergfondet.dk/en/Forskningsaktiviteter/Bevillingsstatistik/Bevillingsoversigt/CF21_0454_Johannes-Bjerva [2] https://dm.dk/din-loen/loenstatistik-og-loentabeller/forskning-og-undervisning/loen-ph-d-stipendiater (only available in Danish) Johannes Bjerva Associate Professor | Natural Language Processing | Department of Computer Science Aalborg University Copenhagen Office 2.2.089, A.C. Meyers V?nge 15, 2450 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Mon Mar 7 06:26:32 2022 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 7 Mar 2022 12:26:32 +0100 Subject: Connectionists: 1st CfP ACAIN 2022, 2nd Int. Symposium on Artificial Intelligence & Neuroscience, Sept 18-22, Certosa di Pontignano, Tuscany - Italy Message-ID: ______________________________________________________________ Call for Papers (apologies for cross-postings) Please distribute this call to interested parties, thanks. ______________________________________________________________ The 2nd International Symposium on #ArtificialIntelligence & #Neuroscience - #ACAIN2022 September 18-22, 2022 Certosa di Pontignano, Castelnuovo Berardenga (Siena), #Tuscany - Italy W: https://acain2022.artificial-intelligence-sas.org E: acain at icas.cc NEWS: https://acain2022.artificial-intelligence-sas.org/category/news/ Past Edition: https://acain2021.artificial-intelligence-sas.org INVITED SPEAKERS: * Marvin M. Chun, Yale University, USA * Ila Fiete, MIT, USA * Karl Friston, University College London, UK & Wellcome Trust Centre for Neuroimaging * Wulfram Gerstner, EPFL, Switzerland * M?t? Lengyel, Cambridge University, UK * Max Erik Tegmark, MIT, USA & Future of Life Institute * Michail Tsodyks, Institute for Advanced Study, USA More Lecturers and Speakers to be announced soon! PAPER SUBMISSION (Symposium): by Saturday April 23, 2022 (AoE) https://easychair.org/conferences/?conf=acain2022 SCOPE & MOTIVATION: The ACAIN 2022 symposium is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields. Bringing together AI and neuroscience promises to yield benefits for both research areas. The future impact and progress in both AI and Neuroscience will strongly depend on continuous cooperation between the two research communities. These are the goals of the International Symposium on AI and Neuroscience ? ACAIN 2022. ACAIN 2022 accepts rigorous research that promotes and fosters multidisciplinary research on artificial intelligence and neuroscience. CALL FOR PAPERS: https://acain2022.artificial-intelligence-sas.org/symposium-call-for-papers/ ORGANIZING COMMITTEE: https://acain2022.artificial-intelligence-sas.org/organizing-committee/ VENUE & ACCOMMODATION: https://acain2022.artificial-intelligence-sas.org/venue/ https://acain2022.artificial-intelligence-sas.org/accommodation/ The venue of ACAIN 2022 will be The Certosa di Pontignano ? Siena The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy p: +39-0577-1521104 e: info at lacertosadipontignano.com w: https://www.lacertosadipontignano.com/en/index.php Contact person: Dr. Lorenzo Pasquinuzzi You need to book your accommodation at the venue and pay the amount for accommodation directly to the Certosa di Pontignano. ACTIVITIES: https://acain2022.artificial-intelligence-sas.org/activities/ REGISTRATION: https://acain2022.artificial-intelligence-sas.org/registration/ See you in 3D or 2D :) in Tuscany in September! ACAIN 2022 Chairs. POSTER: https://acain2022.artificial-intelligence-sas.org/wp-content/uploads/sites/21/2022/02/poster-ACAIN-2022.png NEWS: https://acain2022.artificial-intelligence-sas.org/category/news/ E: acain at icas.cc W: https://acain2022.artificial-intelligence-sas.org Past Edition, ACAIN 2021: https://acain2021.artificial-intelligence-sas.org * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Mon Mar 7 06:00:27 2022 From: timofte.radu at gmail.com (Radu Timofte) Date: Mon, 7 Mar 2022 12:00:27 +0100 Subject: Connectionists: [CFP] CVPR 2022 Mobile AI workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN CHALLENGES 2nd Mobile AI workshop and challenges on learned ISP, denoising, HDR, image/video super-resolution, depth estimation, validated on mobile hardware In conjunction with CVPR 2022, 20th of June, New Orleans, USA. Website: https://ai-benchmark.com/workshops/mai/2022/ TOPICS ? Efficient deep learning models for mobile devices ? Artifacts removal from mobile photos/videos ? General smartphone photo/video enhancement ? RAW camera image/video processing ? Deep learning applications for mobile camera ISPs ? Image/video super-resolution on low-power hardware ? Portrait segmentation / bokeh effect rendering ? Depth estimation w/o multiple cameras ? Perceptual image manipulation on mobile devices ? Activity recognition using smartphone sensors ? Image/sensor based identity recognition ? Fast image classification / object detection algorithms ? NLP models optimized for mobile inference ? Real-time semantic segmentation ? Low-power machine learning inference ? Machine learning and deep learning frameworks for mobile devices ? AI performance evaluation / benchmarking of mobile and IoT hardware ? Studies and applications of the above problems SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. https://cvpr2022.thecvf.com/author-guidelines The review process is double blind. Accepted and presented papers will be published in the 2022 CVPR Workshops Proceedings by IEEE and CVF. Author Kit: https://cvpr2022.thecvf.com/sites/default/files/2021-10/cvpr2022-author_kit-v1_1-1.zip Submission site: https://cmt3.research.microsoft.com/MAI2022 WORKSHOP DATES ? *Paper submission deadline: March 20, 2022* ? Paper decision notification: April 14, 2022 CHALLENGES (TBU) ? *Learned Smartphone ISP* ? *Image Denoising* ? *HDR Image Processing* ? *Image Super-Resolution* ? *Video Super-Resolution* ? *Depth Estimation* To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the Mobile AI 2022 web page: https://ai-benchmark.com/workshops/mai/2022/ For those interested in restoration, enhancement, manipulation, super-resolution without specific mobile hardware constraints we refer to the CVPR22* NTIRE Workshop and Challenges:* https://data.vision.ee.ethz.ch/cvl/ntire22/ CHALLENGES DATES (TBU) ? Release of train data: March 21, 2022 ? *Competitions end: May 31, 2022* Website: https://ai-benchmark.com/workshops/mai/2022/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Mar 7 13:46:13 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 7 Mar 2022 20:46:13 +0200 Subject: Connectionists: =?utf-8?q?Invitation_to_attend_the_free_AIDA_shor?= =?utf-8?q?t_course_=E2=80=98AI_ethics_and_Fairness_in_link-based_r?= =?utf-8?q?ecommender_systems=E2=80=99=2C_10-11/3/2022_by_Prof=2E_R?= =?utf-8?q?=2E_Baeza-Yates=2C_and_Prof=2E_C=2E_Castillo=2C_Pompeu_F?= =?utf-8?q?abra_University?= References: <001f01d8324c$31e67600$95b36200$@csd.auth.gr> Message-ID: <0b6d01d83253$9f87a150$de96e3f0$@csd.auth.gr> COURSE TITLE: AI ethics and Fairness in link-based recommender systems LECTURER(S): Ricardo Baeza-Yates, ricardo.baeza at upf.edu , Carlos Castillo, carlos.castillo at upf.edu ORGANIZER: Department of Information and Communications Technologies, Pompeu Fabra University (UPF) CONTENT AND ORGANIZATION: This is a two-day short course about AI ethics and Fairness in link-based recommender systems. The first lecture has three parts. In the first part we cover five current specific challenges through examples: (1) discrimination (e.g., facial recognition, justice, sharing economy, language models); (2) phrenology (e.g., biometric based predictions); (3) unfair digital commerce (e.g., exposure and popularity bias); (4) stupid models (e.g., Signal, minimal adversarial AI) and (5) indiscriminate use of computing resources (e.g., large language models). These examples do have a personal bias but set the context for the second part where we address four generic challenges: (1) too many principles (e.g., principles vs. techniques), (2) cultural differences; (3) regulation and (4) our cognitive biases. In the final part we discuss what we can do to address these challenges in the near future. The second lecture covers two topics: the link prediction problem, and disparate effects of recommender systems. First, we will describe how link-level recommendation works considering both scoring-based methods and supervised learning-based methods, as well as describing evaluation methods for these recommenders. Second, we will study how recommender systems might have disparate effects. For instance, in the case of link-based recommenders, these disparate effects are evident if we consider groups that might be homophilic (i.e., having a strong tendency to link among them), as link-based recommender systems might generate more recommendations towards that group. We will cover various application scenarios for social media sites, from friend-recommendations to what-to-watch-next recommendations. REGISTRATION: Free of charge WHEN: March 10 (17:00 ? 19:30). March 11 (15:30 ? 18:00) CET WHERE: Hybrid at UPF (telco link to be provided by the Lecturer after registration/enrollment) HOW TO REGISTER and ENROLL: Both AIDA and non-AIDA students are encouraged to participate in this short course. If you are an AIDA Student* already, please: Step (a): Register in the course here https://forms.gle/PTMsP8N69NDsTanb9 AND Step (b): Enroll in the same course in the AIDA system using the button below, so that this course enters your AIDA Certificate of Course Attendance. If you are not an AIDA Student, do only step (a). *AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members ) -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From o.zinchenko at hse.ru Mon Mar 7 14:38:14 2022 From: o.zinchenko at hse.ru (Zinchenko Oksana) Date: Mon, 7 Mar 2022 19:38:14 +0000 Subject: Connectionists: for the students in Connectionists community Message-ID: Our Master?s Program ?Cognitive Sciences and Technologies: from Neuron to Cognition? is accepting applications for the academic year 2022-2023 from international applicants (HSE University, Moscow, Russian Federation)! Note that international applicants have to submit the documents by August 14th. Our research-driven program explores cognitive psychology, cognitive neuroscience, and neuro-modelling. Taught in close cooperation with the ?cole Normale Sup?rieure and Aarhus University, the program combines lectures with practical training at prominent laboratories in Moscow and at international partner institutions. Graduates work in international research laboratories and centres, at private companies focusing on user interface optimization and evaluation projects, as well as at universities and schools. They are also involved with projects on brain-computer interface development and clinical application, including pre-surgery brain mapping, neuromarketing, and usability research. Our students work in research facilities to learn state-of-the-art methods like functional magnetic resonance imaging (fMRI), magneto- and electroencephalography (MEG, EEG), transcranial magnetic (TMS) and electrical (TES) stimulation, eye-tracking and others. Apply now: https://asav.hse.ru/applyma.html#signin More information about the program: https://www.hse.ru/en/ma/cogito Financial aid (i.e. discounts) is available (https://admissions.hse.ru/en/graduate-apply/financial-aid). If you have any questions, contact us by email: cogito at hse.ru -------------- next part -------------- An HTML attachment was scrubbed... URL: From manuel.baltieri at gmail.com Mon Mar 7 22:06:10 2022 From: manuel.baltieri at gmail.com (Manuel Baltieri) Date: Tue, 8 Mar 2022 12:06:10 +0900 Subject: Connectionists: Fwd: [CFP] Call for Papers - Hybrid Life at ALIFE 2022, Deadline EXTENSION 14th March References: Message-ID: ********** Call for Papers - Submission Deadline [EXTENDED] 14th March ********** Special session - Hybrid Life V: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybridlife 2022 Artificial Life conference (ALIFE 2022) Online, 18th-22nd July - http://2022.alife.org/ --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches used to tackle this investigation, proposing new and hybrid ways to integrate, extend and improve them. Traditionally, ALife has focused on areas including: 1) the formalisation of properties necessary for the definition of life, 2) the implementation and analysis of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and to create hybrid approaches that extend them through: the search for a unifying framework that spans across (models of) living, artificial and cognitive systems, overcoming the limitations of approaches focusing only on one type of systems; this area may include life-mind-continuity thesis, systems biology, theories of agency based on Bayesian inference, dynamical systems, information theory, etc. the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms; this includes work from bio-inspired robotics, human augmentation, synthetic biology, etc. the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms; this approach welcomes contributions from the fields of human-agent interaction, animal-computer interaction, virtual / augmented reality systems, etc. The session focuses on hybrid methods, theoretical contributions that can shed new light on concepts common across artificial/ living/ cognitive systems (e.g., agency, goal-directed behaviour, self-organisation, adaptation and self-maintenance), and hybrid systems, where robotics and biology are combined to study areas in the cognitive domain. This special session aims to invite contributions from the fields of psychology, computational neuroscience, human-computer interaction (HCI), theoretical biology, artificial intelligence, robotics and cognitive science. Potential topics include, but are not limited to: Mathematical frameworks for life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial phenomenology Important Dates 14th March 2022 ? Paper submission deadline 30th April 2022 ? Paper acceptance notification 30th May 2022 ? Camera-ready version 18th-22nd July ? Artificial Life conference (ALIFE), Online Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the ALife community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, Araya Inc., Tokyo, Japan - University of Sussex, Brighton, UK Keisuke Suzuki, Center for Human Nature, Artificial Intelligence, and Neuroscience, Hokkaido, Japan Olaf Witkowski, Cross Labs, Kyoto, Japan Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybridlife or get in touch with using hybrid.alife [at] gmail.com (please notice the ?a? in alife). All the best, -- Manuel Baltieri, PhD Researcher, Araya Inc., Tokyo, Japan Visiting researcher, University of Sussex, Brighton, UK www.manuelbaltieri.com Twitter: @manuelbaltieri -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.crimi at sanoscience.org Mon Mar 7 19:03:32 2022 From: a.crimi at sanoscience.org (Alex Crimi) Date: Tue, 8 Mar 2022 00:03:32 +0000 Subject: Connectionists: Brain effective connectivity still worthwhile? Message-ID: Hi all, last year I published something about effective connectivity based on an extension of Granger causality https://www.sciencedirect.com/science/article/pii/S1053811921005644 I am working now on something more on the nonlinear relation of causality but not yet purely based on perturbation. Yet, I started having doubt whether all those efforts on causality have an actual contribution. Is it worthwhile? Are still people interested in this? Best, Alex -------------- next part -------------- An HTML attachment was scrubbed... URL: From kwimmer at crm.cat Mon Mar 7 10:28:01 2022 From: kwimmer at crm.cat (Klaus Wimmer) Date: Mon, 7 Mar 2022 16:28:01 +0100 Subject: Connectionists: EMBO Practical Course - Barcelona summer school for Advanced Modelling of Behavior (BAMB!), September 1-8, 2022 Message-ID: The Barcelona summer school for Advanced Modelling of Behavior (BAMB!) teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). Scientists from underrepresented groups and countries are especially encouraged to apply. The school is an EMBO Practical Course and is organized by the Centre de Recerca Matem?tica. A limited number of travel grants will be available from EMBO. Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (CRM, Barcelona) M?t? Lengyel (Cambridge) Zhaoping Li (T?bingen) Alfonso Renart (Champalimaud) Marion Rouault (ENS Paris) Kim Stachenfeld (Deepmind) Chris Summerfield (Oxford / Deepmind) MH Tessler (Deepmind) Klaus Wimmer (CRM, Barcelona) Dates and location: September 1-8, downtown Barcelona, Spain Applications are open until April 13. Please see the course website for further details: www.bambschool.org. CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matem?tica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo at crm.cat. -------------- next part -------------- An HTML attachment was scrubbed... URL: From RoigNoguera at em.uni-frankfurt.de Tue Mar 8 03:53:42 2022 From: RoigNoguera at em.uni-frankfurt.de (Gemma Roig) Date: Tue, 8 Mar 2022 09:53:42 +0100 Subject: Connectionists: 2 PhD studentw on Vision Systems and Artificial Intelligence (36 months, starting assp, pay-scale TV-GU E13 72%) Message-ID: <7CBBEA2B-DF0E-48DF-83D6-915A0C7C32ED@em.uni-frankfurt.de> Hello community! We have 2 job openings as PhD students, at the Institute of Computer Science, Faculty of Computer Science and Mathematics at Goethe University Frankfurt. The PIs of the projects are Prof. Visvanathan Ramesh and Prof. Gemma Roig. The duration of the position is for 3 to 5 years. The position will involve: - Developing cutting-edge research work on vision systems and artificial intelligence, with possibility to explore representational learning, continual learning, multi-task learning, applied different domains, such as affective computing, finance and education. - The outcome of the research pursued is expected to be published in top tier conferences and journals. Key requirements for the position: - Master in Computer Science, applied mathematics, electrical engineering or related fields. - Strong knowledge in machine learning (deep learning, RNN, LSTMs, supervised learning, self-supervised learning, continual learning) - Excellent programming skills in python, and extensive experience in Tensorflow, pyTorch or related libraries. - Knowledge of high performance distributed computing with GPUs. - At least one publication in tier 1 conferences or journals in related topics to computer science. - Fluent in English (writing, speaking, oral) Self-motivated candidates with a hands-on, proactive approach and problem-solving skills are strongly encouraged to apply. Application Instructions: Applicants are asked to send their documents (motivational letter, CV, 1 publication, diploma and certificates, course list/transcript) to Gemma Roig at roig at cs.uni-frankfurt.de until 20th of March, in electronic form. Interviews will be held in Frankfurt or conducted electronically. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bjoern.eskofier at fau.de Tue Mar 8 03:27:41 2022 From: bjoern.eskofier at fau.de (Bjoern Eskofier) Date: Tue, 8 Mar 2022 08:27:41 +0000 Subject: Connectionists: Two postdoctoral positions @ MaD Lab / FAU, Germany Message-ID: <860B87FE-93FA-4980-B8C3-EB947E259988@fau.de> Dear colleagues, The Machine Learning and Data Analytics Lab, Friedrich-Alexander-University Erlangen-Nuernberg, Germany, invites applications for 2 postdoc positions: -> Medical Data Science / AI in Medicine -> Digital Health / Mobility Analytics Please find the full descriptions here: https://www.mad.tf.fau.de/lab/job-offers/ The positions are available, applications will be accepted until the positions are filled. All the best, Bjoern Eskofier MaD Lab www.mad.tf.fau.de -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 2514 bytes Desc: not available URL: From christian.tetzlaff at med.uni-goettingen.de Tue Mar 8 04:49:19 2022 From: christian.tetzlaff at med.uni-goettingen.de (Tetzlaff, Christian) Date: Tue, 8 Mar 2022 09:49:19 +0000 Subject: Connectionists: =?iso-8859-1?q?2_PhD_Positions_at_the_Institute_f?= =?iso-8859-1?q?or_Neuro_and_Sensory_Physiology_in_G=F6ttingen?= In-Reply-To: References: Message-ID: View in Browser: https://www.umg.eu/karriere/stellenangebote/stellenanzeigen-detail/?jobId=4612 The department of Computational Synaptic Physiology of the University Medical Center in G?ttingen, Germany headed by Prof. Dr. Christian Tetzlaff is seeking 2 x PhD-Positions (m/f/d). Both positions will be affiliated with the research group of Prof. Tetzlaff, who is investigating the emergence of complex behavior from the interplay of diverse neuronal and synaptic processes of neuronal networks (see, e.g., Becker & Tetzlaff, 2021, PLoS Comput. Biol.; Luboeinski & Tetzlaff, 2021, Comm. Biol.). As part of the CRC1286 (https://www.sfb1286.de/?lang=en), the aim of the research project(s) is to deepen our understanding of the molecular principles underlying key synaptic processes of plasticity by the usage of computational and mathematical methods. Suitable candidates should hold a Master degree in Physics, Computer Science, or similar, preferably with some additional experiences in Computational Neuroscience and Molecular Biology. We expect excellent mathematical and coding skills (e.g., Python, C++) as well as skills in scientific communication (including proficiency in English). The candidates should be curious, highly motivated, self-organized, and show a keen interest to work within a lively research team and to perform leading-edge research in close connection to newest experimental results. Applications should be send via Email including a letter of motivation, CV, and certificates to the following Email address: christian.tetzlaff at med.uni-goettingen.de The University Medical Center G?ttingen is committed to professional equality. We therefore seek to increase the proportion of under-represented genders. Applicants with disabilities and equal qualifications will be given preferential treatment. We look forward to receiving your application by 31.03.2022: University Medical Center G?ttingen Department of Neuro- and Sensory Physiology Prof. Dr. Christian Tetzlaff Humboldtallee 23 37073 G?ttingen Tel.: 0551/39-61162 E-Mail: christian.tetzlaff at med.uni-goettingen.de Please send your application via e-mail in PDF-format or via mail in copy and not in folders. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dkatsar at inf.uth.gr Tue Mar 8 06:24:46 2022 From: dkatsar at inf.uth.gr (KATSAROS Dimitrios) Date: Tue, 8 Mar 2022 13:24:46 +0200 Subject: Connectionists: CFP: 2nd Int. Workshop on Computational Aspects of Network Science (Sept. 05, Turin, Italy) Message-ID: <62273CFE.9040704@inf.uth.gr> CFP: 2nd International Workshop on Computational Aspects of Network Science (with ADBIS'22) ------------------------------------------------------------------------------------------- CAoNS 2022 in conjunction with ADBIS 2022 September 05, 2022, Turin, Italy https://caons.e-ce.uth.gr/ INTRODUCTION ------------ The 2nd International Workshop on Computational Aspects of Network Science (CAoNS) will be held in conjunction with the 26th European Conference on Advances in Databases and Information Systems (ADBIS'2022). CAoNS provides opportunities for researchers and practitioners to share their original research results, and practical development products on Network Science. The CAoNS 2022 workshop will be a hybrid event. CAoNS aims at bringing together researchers and practitioners working on areas related to any kind of network, such as networks of devices, World Wide Web, social, bibliographic, biological networks, complex systems, and so on, with main focus on the management of networked data (retrieval, evolution) and on the use of analytics for predictive purposes and/or on the analysis of the networks themselves. Due to numerous applications, there is a growing interest in such systems from the point of view of modeling, capturing, storing and management. This is where IT comes into play, e.g. graph databases, machine learning, distributed and parallel processing. TOPICS OF INTEREST ------------------ Topics of interest include (but are not limited to): Types of Networks Multilayer & Single layer complex networks Multiplex complex networks Temporal complex networks Higher-order complex networks Analytics in Networks Diffusion processes Ranking/Searching algorithms Recommendations Network Evolution and Growth Machine Learning in/for Networks Node/edge classification Network embedding Topology characterization (inference/ prediction) Network/Graph Databases NoSQL, RDF, Query languages Compressing, (Learned) Indexing Parallel/Distributed processing Novel Test/Benchmark collections Security for Networked Data Anomaly detection Data protection Crime data mining and network analysis Trust and Reputation Applications of Network Science in Neural Networks (Sport) Teams Medicine/Biology Social/financial/legal networks IMPORTANT DATES --------------- Deadline for submissions: May 16, 2022 Notification date: June 07, 2022 Camera ready due: June 15, 2022 Workshop date: September 05, 2022 SUBMISSION GUIDELINES --------------------- All papers will be peer-reviewed. Papers should be submitted in PDF format using the EasyChair online submission system via this EasyChair link . Be careful to select the CAoNS track for your submission. Submitted papers should not exceed 6-8 pages for short papers and 12 pages for full papers, including figures, tables and references. Accepted papers will appear in the CCIS book series published by Springer. Author instructions along with LaTex2e (preferred) and Word macro files are available at http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. For each accepted paper, at least one of the authors MUST register for the conference by the camera-ready submission deadline with a full registration. We kindly ask authors to adopt inclusive language in their papers and presentations (https://dbdni.github.io/pages/inclusivewriting.html and https://dbdni.github.io/pages/inclusivetalks.html), and all participants to adopt a proper code on conduct (https://dbdni.github.io/pages/codeofconduct.html) JOURNAL SPECIAL ISSUE --------------------- Outstanding workshop papers will be invited to submit an extended and revised version of their papers to a special issue in a Q1 journal: Information Systems Frontiers (Springer) ORGANIZERS ---------- Program Co-Chairs: Dimitrios Katsaros, University of Thessaly (Greece) Yannis Manolopoulos, Open University of Cyprus and Aristotle University of Thessaloniki (Greece) CONTACT ------- Please email all questions about submissions toDimitrios KATSAROS or Evangelia FRAGKOU From Donald.Adjeroh at mail.wvu.edu Tue Mar 8 10:28:43 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 8 Mar 2022 15:28:43 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS'2022: Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2022 2022 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 20-23, 2022 Conference will be held Virtually http://sbp-brims.org/ #sbpbrims The goal of this conference is to build this new community of social cyber scholars by bringing together and fostering interaction between members of the scientific, corporate, government and military communities interested in understanding, forecasting, and impacting human socio-cultural behavior. It is the charge to this community to build this new science, its theories, methods, and its scientific culture in a way that does not give priority to either social science or computer science, and to embrace change as the cornerstone of the community. Despite decades of work in this area, this scientific field is still in its infancy. To meet this charge and move this science to the next level, this community must meet the following three challenges: 1) deep understanding of socio-cognitive reasoning, 2) human-technology integration, 3) and re-usable computational methods. Topics include but are not limited to the following: ? Social Cybersecurity ? Social Network Modeling ? Human Behavior Modeling ? Agent-Based Models ? Models of Human-Autonomy Interaction ? Health and Epidemiological Models ? Validation Methods and Human Experimentation All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. IMPORTANT DATES: Paper/Abstract Submission: 01-Jul-2022 (Midnight EST) Author Notification: 29-Jul-2022 Tutorial Submission: 22-Aug-2022 Decision Notification: 29-Aug-2022 Challenge Response due: 22-Aug-2022 Challenge Notification: 29-Aug-2022 Final Files due: 15-Aug-2022 HOW TO SUBMIT : For information on paper submission, check here. You will be able to update your submission until the final paper deadline. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of attendance scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Tue Mar 8 17:21:59 2022 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 8 Mar 2022 23:21:59 +0100 Subject: Connectionists: [CfP] "Fine Art Pattern Extraction and Recognition (FAPER 2022)" @ ICIAP 2021 - DEADLINE INCOMING !!! Message-ID: <7d0904ce-a330-93fa-9e3b-cf8a05bac7d8@unifi.it> ???????????????????? Call for Papers -- FAPER 2022 ??????????? ---===== Apologies for cross-postings =====--- ?????????? Please distribute this call to interested parties ________________________________________________________________________ ?International Workshop on Fine Art Pattern Extraction and Recognition ????????????????????????? F A P E R?? 2 0 2 2 ??????? in conjunction with the 21st International Conference on ?????????????? Image Analysis and Processing (ICIAP 2021) ???????????????????? Lecce, Italy, MAY 23-27, 2022 ??????????? >>> https://sites.google.com/view/faper2022 <<< ????????????????? Submission deadline: March 15, 2022 -> Submission link: https://easychair.org/conferences/?conf=faper2022 <- ???????????????? ------------------------------------ ?? ?? ????????????? O N E ?? W E E K ?? L E F T? ! ???????????????? ------------------------------------ ????????????? [[[ both virtual and in presence event ]]] ________________________________________________________________________ === Aim & Scope === Cultural heritage, especially fine arts, plays an invaluable role in the cultural, historical and economic growth of our societies. Fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture and architecture. In recent years, thanks to technological improvements and drastic cost reductions, a large-scale digitization effort has been made, which has led to an increasing availability of large digitized fine art collections. This availability, coupled with recent advances in pattern recognition and computer vision, has disclosed new opportunities, especially for researchers in these fields, to assist the art community with automatic tools to further analyze and understand fine arts. Among other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. Following the success of the first edition, organized in conjunction with ICPR 2020, the aim of the workshop is to provide an international forum for those wishing to present advancements in the state-of-the-art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for a better understanding and fruition of fine arts. The workshop solicits contributions from diverse areas such as pattern recognition, computer vision, artificial intelligence and image processing. === Topics === Topics of interest include, but are not limited to: - Application of machine learning and deep learning to cultural heritage and digital humanities - Computer vision and multimedia data processing for fine arts - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Point cloud segmentation and classification for cultural heritage - Historical document analysis - Content-based retrieval in the art domain - Speech, audio and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products or prototypes for cultural heritage restoration, preservation and fruition - Visual question answering and artwork captioning - Art history and computer vision === Invited speaker === Eva Cetinic (Digital Visual Studies, University of Zurich, Switzerland) - "Beyond Similarity: From Stylistic Concepts to Computational Metrics" Dr. Eva Cetinic is currently working as a postdoctoral fellow at the Center for Digital Visual Studies at the University of Zurich. She previously worked as a postdoc in Digital Humanities and Machine Learning at the Department of Computer Science, Durham University, and as a postdoctoral researcher and professional associate at the Ru?er Bo?kovic Institute in Zagreb. She obtained her Ph.D. in Computer science from the Faculty of Electrical Engineering and Computing, University of Zagreb in 2019 with the thesis titled "Computational detection of stylistic properties of paintings based on high-level image feature analysis". Besides being generally interested in the interdisciplinary field of digital humanities, her specific interests focus on studying new research methodologies rooted in the intersection of artificial intelligence and art history. Particularly, she is interested in exploring deep learning techniques for computational image understanding and multi-modal reasoning in the context of visual art. === Workshop modality === The workshop will be held in a hybrid form, both virtual and in presence participation will be allowed. === Submission guidelines === Accepted manuscripts will be included in the ICIAP 2021 proceedings, which will be published by Springer as Lecture Notes in Computer Science series (LNCS). Authors of selected papers will be invited to extend and improve their contributions for a Special Issue on IET Image Processing. Please follow the guidelines provided by Springer when preparing your contribution. The maximum number of pages is 10 + 2 pages for references. Each contribution will be reviewed on the basis of originality, significance, clarity, soundness, relevance and technical content. Once accepted, the presence of at least one author at the event and the oral presentation of the paper are expected. Please submit your manuscript through EasyChair: https://easychair.org/conferences/?conf=faper2022 === Important Dates === - Workshop submission deadline: March 15, 2022 - Author notification: April 1, 2022 - Camera-ready submission and registration: April 15, 2022 - Workshop day: May 23-24, 2022 === Organizing committee === Gennaro Vessio (University of Bari, Italy) Giovanna Castellano (University of Bari, Italy) Fabio Bellavia (University of Palermo, Italy) Sinem Aslan (University of Venice, Italy | Ege University, Turkey) === Venue === The workshop will be hosted at Convitto Palmieri, which is located in Piazzetta di Giosue' Carducci, Lecce, Italy ____________________________________________________ ?Contacts: gennaro.vessio at uniba.it ?????????? giovanna.castellano at uniba.it ?????????? fabio.bellavia at unipa.it ?????????? sinem.aslan at unive.it ?Workshop: https://sites.google.com/view/faper2022 ICIAP2021: https://www.iciap2021.org/ From amir.kalfat at gmail.com Tue Mar 8 16:14:07 2022 From: amir.kalfat at gmail.com (Amir Aly) Date: Tue, 8 Mar 2022 21:14:07 +0000 Subject: Connectionists: [Meetings] CRNS Talk Series (4) - Live Talk by Prof. Mehul Bhatt - Orebro University - Sweden Message-ID: Dear All * Apologies for cross-posting* The *Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Prof. **Mehul Bhatt* from *Orebro University* - Sweden on Wednesday, March 16th from *11:00 am* to *12:30* *pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/95748572834?pwd=M05YTXhTVnBOK0R6WTlPaDJnTm5GUT09&from=addon >> *Title of the talk*: Artificial visual intelligence: Perceptual commonsense for human-centred cognitive technologies *Abstract*: This talk addresses computational cognitive vision and perception at the interface of (spatial) language, (spatial) logic, (spatial) cognition, and arti?cial intelligence. Summarizing recent works, I present general methods for the semantic interpretation of dynamic visuospatial imagery with an emphasis on the ability to perform abstraction, reasoning, and learning with cognitively rooted structured characterizations of commonsense knowledge pertaining to space and motion. I will particularly highlight: - explainable models of computational visuospatial commonsense at the interface of symbolic and neural techniques; - deep semantics, entailing systematically formalised declarative (neurosymbolic) reasoning and learning with aspects pertaining to space, space-time, motion, actions & events, spatio-linguistic conceptual knowledge; and - general foundational commonsense abstractions of space, time, and motion needed for representation mediated (grounded) reasoning and learning with dynamic visuospatial stimuli. The presented works ?demonstrated in the backdrop of applications in autonomous driving, cognitive robotics, visuoauditory media, and cognitive psychology? are intended to serve as a systematic model and general methodology integrating diverse, multi-faceted AI methods pertaining knowledge representation and reasoning, computer vision, and machine learning towards realising practical, human-centred, computational visual intelligence. I will conclude by highlighting a bottom-up interdisciplinary approach ?at the con?uence of cognition, AI, Interaction, and design science? necessary to better appreciate the complexity and spectrum of varied human-centred challenges for the design and (usable) implementation of (explainable) arti?cial visual intelligence solutions in diverse human-system interaction contexts. *Keywords*. Cognitive Vision; Knowledge Representation and Reasoning; Commonsense Reasoning; Deep Semantics; Declarative Spatial Reasoning; Com- puter Vision; Computational Models of Narrative; Human-Centred Computing and Design; Spatial Cognition and AI; Visual Perception; Multimodal Interaction; Autonomous Driving; HRI; Visuo-Auditory Media; Visual Art >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASJagath at ntu.edu.sg Wed Mar 9 03:26:51 2022 From: ASJagath at ntu.edu.sg (Jagath C Rajapakse (Prof)) Date: Wed, 9 Mar 2022 08:26:51 +0000 Subject: Connectionists: FW: Postdoctoral Research Fellow in brain connectome analysis from functional MRI and DTI scans In-Reply-To: References: Message-ID: A postdoctoral research fellow position for connectome analysis from functional MRI and diffusion tensor imaging is available in my group. The candidate is to investigate encoding and decoding of the functional and structural connectome by using graph neural network approaches. Encoding learns compact representations of the connectome, leading to disease classification, subtype identification, etc., and decoding is aimed at identifying key brain regions and connections implicated in brain diseases. The candidate is to apply recent Graph Neural Networks such as GCN, GraphSAGE, and GAT for connectome analysis from fMRI and DTI scans and to handle key challenges to such approaches such as the lack of large imaging datasets and inconsistences across images gathered on multiple sites. The candidate would have expertise and skills in image analysis, machine learning, and Python/R programming, and a PhD in a related field. To apply: https://www.mycareersfuture.gov.sg/job/sciences/research-fellow-nanyang-technological-university-83c9f6b6afdd14b9a4d7dfe2c43b1c71 -- Jagath Rajapakse, PhD, FIEEE Professor of Computer Engineering School of Computer Science and Engineering Nanyang Technological University N4-2a11, 50 Nanyang Avenue Singapore 639798 http://personal.ntu.edu.sg/asjagath ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From torben.ott at bccn-berlin.de Wed Mar 9 04:39:27 2022 From: torben.ott at bccn-berlin.de (Torben Ott) Date: Wed, 9 Mar 2022 10:39:27 +0100 Subject: Connectionists: Postdoc in systems/comp neuro, decision-making, Ott Lab Message-ID: <01ae01d83399$91f27af0$b5d770d0$@bccn-berlin.de> The Decision Circuits Lab at the Bernstein Center for Computational Neuroscience Berlin (Berlin, Germany) is hiring a postdoctoral researcher to study neural mechanisms of decision-making. Projects focus on neuromodulation and cortical network dynamics using experimental and computational methods in rats. For more information, please see the attached ad and visit our website at https://torbenottlab.org. You can also find me at Cosyne 2022 in Lisbon. Torben Ott, Ph.D. Bernstein Center for Computational Neuroscience Berlin Humboldt University of Berlin Philippstr. 13, Haus 2 10115 Berlin, Germany https://torbenottlab.org +49-30-2093-98520 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 660 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc_OttLab_DecisionCircuits.pdf Type: application/pdf Size: 95610 bytes Desc: not available URL: From mm at di.ku.dk Wed Mar 9 04:28:41 2022 From: mm at di.ku.dk (Maria Maistro) Date: Wed, 9 Mar 2022 09:28:41 +0000 Subject: Connectionists: SIGIR 2022 - Call for Tutorials In-Reply-To: <6FE95F51-655C-4F9A-A2E1-C4F1BA5C47E3@ku.dk> References: <6FE95F51-655C-4F9A-A2E1-C4F1BA5C47E3@ku.dk> Message-ID: SIGIR 2022 - Call for Tutorial: https://sigir.org/sigir2022/call-for-tutorials/ The annual SIGIR conference is the major international forum for the presentation of new research results, and the demonstration of new systems and techniques, in the broad field of Information Retrieval (IR). The 45th ACM SIGIR conference will be held on July 11 to 15, 2022, in a hybrid mode (speakers and attendees will have the option to participate onsite or online) in Madrid, Spain. SIGIR 2022 solicits proposals for both half and full-day tutorials covering topics relevant to the field of information retrieval and its applications. Each tutorial should cover a single topic in depth. For example, tutorials may cover an established information retrieval sub-topic, introduce an emerging application of information retrieval technologies, or update the information retrieval community on recent advances in related fields. We are especially interested in the third category of submission. *** IMPORTANT DATES *** Time zone: Anywhere on Earth (AoE) Tutorial proposal due: March 24, 2022 Tutorials notification: April 14, 2022 Camera ready due: April 24, 2022 Tutorial day: Mon, Jul 11, 2022 *** SUBMISSION GUIDELINES *** Submissions should include a cover sheet and an extended abstract. The cover sheet should include the following elements: * Title and length (either half-day, e.g. 3 hours plus breaks, or full day, e.g., 6 hours plus breaks) of the tutorial. * Tutorial format, i.e., on-site or online. The presenters should indicate whether or not all / some presenters commit to attend in person. Commitment to on-site tutorials will be a positive point when deciding which tutorials are accepted. If tutorial presenters commit to attend in person but fail to do so, the tutorial might be canceled. * Intended audience (introductory, intermediate, advanced) and prerequisite knowledge or skills required. * Detailed contact information of all presenters (and indication of the main contact person). * Brief biography (max. 2 paragraphs) for each presenter, highlighting relevant experience in presenting tutorials, teaching grad classes, organizing summer schools, etc. The extended abstract (no longer than 4 pages) should include the following sections: * Motivation. * Objectives. * Relevance to the information retrieval community and reference to tutorials in the same area at SIGIR or related conferences (including WSDM, WWW, KDD, ACL, RecSys, ICML, etc.). * Format and detailed schedule. * Type of support materials to be supplied to attendees. Tutorial proposals should be prepared in the current ACM two-column conference format. Suitable LaTeX, Word, and Overleaf templates are available from the ACM Website (use the ?sigconf? proceedings template). The submissions will be reviewed by a program committee selected for this purpose, and final decisions will be made at the SIGIR Program Committee meeting. Proposals should be submitted in PDF through the EasyChair system (tutorial track): https://easychair.org/conferences?conf=sigir22 The organizers of accepted tutorials will be invited to submit a camera-ready summary of the tutorial, to be included in the SIGIR 2022 conference proceedings. *** TUTORIAL CHAIRS *** * Michael Bendersky, Google Research; * Maria Maistro, University of Copenhagen. *** CONTACT *** For further information, please contact the SIGIR 2022 Tutorial Co-chairs by email: sigir22-tutorials at easychair.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From heather at incf.org Wed Mar 9 06:22:37 2022 From: heather at incf.org (Heather Topple) Date: Wed, 9 Mar 2022 12:22:37 +0100 Subject: Connectionists: INCF accepted to GSoC 2022! Message-ID: For the 12th time, INCF has been accepted as a mentoring organization for Google Summer of Code! Many core INCF community tools have been improved, extended, and made more interoperable as a result of GSoC (such as LORIS, The Virtual Brain, Open Source Brain, the Brian simulator, the Active Segmentation plugin for ImageJ, and more). For this round, tool developers in the INCF community have proposed 50 possible projects that they would be willing to mentor, from a range of different neuroscience fields. Please spread the word to anyone you feel would be interested! Learn more: bit.ly/INCFGSoC2022blog Talk directly with mentors on Neurostars: bit.ly/GSoC2022Neurostars Full project ideas list: bit.ly/GSoC2022ideas Best regards, /The INCF Secretariat ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: heather at incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From nguyensmai at gmail.com Wed Mar 9 16:37:51 2022 From: nguyensmai at gmail.com (Nguyen, Sao Mai) Date: Wed, 9 Mar 2022 22:37:51 +0100 Subject: Connectionists: Post-doc position in cognitive and assistive robotics at Ensta, IP Paris In-Reply-To: References: Message-ID: Dear colleagues, ENSTA, IP Paris is looking to hire a talented post-doctoral researcher in intelligent tutoring systems and/or cognitive robotics on a project on active learning for assistive robotics. The appointment will be for 1 year to work The project aims to build a robot coach for physical rehabilitation. The postdoctoral researcher will study imitation learning algorithms with minimal data using intrinsic motivation as well as intelligent tutoring systems based on intrinsic motivation. Intrinsic motivation, first a theory from psychology, has shaped efficient exploration heuristics for machine learning algorithms to learn using few data and has enabled autonomous curriculum learning. The project thus builds on theories and algorithms from the field of cognitive developmental robotics to propose new machine learning algorithms for a medical and assittive robotics project. References : -------------------------------------------------------------------------------- The Keraal project website : keraal.enstb.org Devanne, M. and Nguyen, S. M. (2017). Multi-level Motion Analysis for Physical Exercises Assessment in Kinaesthetic Rehabilitation. International Conference on Humanoid Robots (Humanoids). Nguyen, S. M. and Oudeyer, P.-Y. (2012). Active choice of teachers, learning strategies and goals for a socially guided intrinsic motivation learner. Paladyn Journal of Behavioural Robotics, 3(3)(136-146). SP Versita. Nguyen, S. M. and Oudeyer, P.-Y. (2014). Socially Guided Intrinsic Motivation for Robot Learning of Motor Skills. Autonomous Robots, 36(3)(273-294). Work environment -------------------------------------------------------------------------------- The post-doc. will be carried out in the Computer Science and Systems Engineering Laboratory (U2IS), ENSTA, IP Paris, France ( http://u2is.ensta-paris.fr/) Candidate -------------------------------------------------------------------------------- The ideal candidate holds a PhD in Computer Science, Computer Engineering, or Robotics, with a strong background in at least one topic among machine learning, cognitive robotics, intelligent tutoring system, active learning, intrinsic motivation and assistive robotics. Contacts and application -------------------------------------------------------------------------------- To apply, please send a CV, a motivation letter in a email with the subject [Post-doc Keraal]. For more information and to get the information to apply contact Sao Mai Nguyen, Ensta Paris, IP Paris, nguyensmai at gmail.com Nguyen Sao Mai nguyensmai at gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr | Youtube | Twitter | ResearchGate | Hal https://doi.org/10.3390/app11030975 -------------- next part -------------- An HTML attachment was scrubbed... URL: From helma.torkamaan at uni-due.de Wed Mar 9 10:45:40 2022 From: helma.torkamaan at uni-due.de (Helma Torkamaan) Date: Wed, 9 Mar 2022 16:45:40 +0100 Subject: Connectionists: ACM UMAP 2022: Call for Late-breaking Results and Demos Message-ID: --- Please forward to anyone who might be interested --- --- Apologies for cross-posting --- ----------------------------------------------------------------- # ** Call for LBR and Demos: 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ?22)** http://www.um.org/umap2022/ (*) Due to the ongoing COVID-19 pandemic, we a re planning for a hybrid conference and will accommodate online presentations where needed. ----------------------------------------------------------------- ***Important Dates*** ============================ - Submission of demos and LBR papers: April 15, 2022 - Notification of acceptance: May 10, 2022 - Camera-ready versions of accepted papers: May 18, 2022 - Conference: July 4-7, 2022 **Note: The submissions times are 11:59 pm AoE time (Anywhere on Earth)** -------------------------------------------------------- ACM UMAP ? User Modeling, Adaptation and Personalization ? is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the core Steering Committee, extended with past years' chairs. The proceedings are published by the ACM and will be part of the ACM Digital Library. ACM UMAP 2022 invites Demonstrations and Late-Breaking Results (LBR) papers of innovative UMAP-based systems (including research prototypes). You are encouraged to submit your Demo or LBR by April 15th, 2022. -------------------------------------------------------- ***Submission formats*** ============================ For more details, see below! *# Demonstrations* - Max. 5 pages + max. 1 additional page for references - (Required) unpublished page describing how they would present the demo virtually and/or in person - (Optional) video or external material demonstrating the system - Publication in ACM UMAP 2022 Adjunct Proceedings - Presentation as a (potentially virtual) demo + poster at the conference *# Late-Breaking Results* - Max. 7 pages + max. 2 additional pages for references - (NEW: required) unpublished page with a list of questions the authors aim to get feedback on - Publication in ACM UMAP 2022 Adjunct Proceedings - Presentation as a (potentially virtual) poster at the conference **Submission via** : https://easychair.org/conferences/?conf=umap22 ***Demonstrations*** ============================ Demonstrations will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. Demonstrations are an excellent and exciting way to showcase implementations and to get valuable feedback from the community. Each demo submission must make clear which aspects of the system will be demonstrated, and how these will be demonstrated on-site as well as online. To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or any external material related to the demo (e.g., shared code on GitHub). Descriptions of demonstrations should have a length of max. 3 pages + 1 page of references in the new ACM single-column style. On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2022. Given uncertainties surrounding the COVID-19 pandemic, this extra page should also describe if/how the demo can be presented in a virtual setting (e.g. with a video or a live link to the system). ***Late-Breaking Results*** ============================ Late-Breaking Results (LBR) are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of User Modeling, Adaptation and Personalization. In addition, papers introducing recently started research projects or summarizing project results are welcome as well. We encourage researchers and practitioners to submit a late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. Late-Breaking Results papers have a length of up to 7 pages + 2 pages of references in the new ACM single-column style and will be presented to the conference as (in-person and virtual) posters. On an extra page (not to be published), submissions should include a list of questions that the authors aim to get feedback on during the poster session at UMAP 2022. -------------------------------------------------------- ***Submission and Review Process*** ============================ Papers will be reviewed single-blind and do not need to be anonymized before submission. Papers (demo and LBR) must be formatted according to the new workflow for ACM publications. The templates and instructions are available here: https://www.acm.org/publications/taps/word-template-workflow. Authors should submit their papers as single-column. The templates are available here (we strongly recommend the usage of LaTeX for the camera-ready papers to minimize the extent of reformatting): - LaTeX (use \documentclass[manuscript,review,anonymous]{acmart} in the sample-authordraft.tex file for single-column): https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-primary.zip - Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column): https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt - MS Word: https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx Note: Accepted papers will require a further revision to meet the requirements and page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the papers will be provided after acceptance. The ACM Code of Ethics gives the UMAP program committee the right to (desk-)reject papers that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes/implications that clearly disadvantage minority communities. Submit your papers in PDF format via EasyChair for ACM UMAP 2022 Demos and Late-Breaking Results at https://easychair.org/conferences/?conf=umap22 (choose *New Submission* and make sure to select *UMAP 2022 Demo and LBR* track). The review process will be single-blind, i.e. authors' names should be included in the papers. Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability. Papers that exceed the page limits or do not adhere to the formatting guidelines will be returned without review. -------------------------------------------------------- ***Publication and Presentation*** ============================ Accepted Demo and Late-Breaking Results papers will be published in the ACM UMAP 2022 Adjunct Proceedings in the ACM Digital Library. Papers will be accessible from the UMAP '22 website through ACM OpenToc Service for one year after publication in the ACM Digital Library. All categories will be presented at the poster reception of the conference, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. Due to the uncertainties regarding the COVID-19 pandemic, the poster session may be partially or fully virtual. **To be included in the Proceedings, at least one author of each accepted paper must register for the conference and present the paper there.** -------------------------------------------------------- ***Late-Breaking Results and Demo Chairs*** ============================ - Cataldo Musto, University of Bari, Italy - Veronika Bogina, University of Haifa, Israel - Contact: umap2022-lpd at um.org -------------------------------------------------------- ***Follow UMAP 2022 on Social Media*** ============================ - Twitter: @UMAPconf #umap2022 (https://twitter.com/UMAPconf) - Facebook: https://www.facebook.com/acmumap -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas.j.palmeri at vanderbilt.edu Wed Mar 9 13:51:56 2022 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Wed, 9 Mar 2022 18:51:56 +0000 Subject: Connectionists: Postdoctoral Fellowship in Cognitive and Neural Modeling of Visual Cognition at Vanderbilt Message-ID: (Please forward to potential interested applicants.) Postdoctoral Fellowship in Cognitive and Neural Modeling of Visual Cognition at Vanderbilt We eagerly seek postdoctoral fellows to join ongoing research developing computational models of visual cognition. One project, an ongoing collaboration between Thomas Palmeri, Jeffrey Schall, and Gordon Logan, uses cognitive and neural models to understand visual/cognitive behavior, neurophysiology, and electrophysiology in humans and monkeys. The other project uses cognitive and deep learning models to understand visual recognition, memory, categorization, decision making, and the development of perceptual expertise. Fellows may have an opportunity to work on both projects. Research facilities include several high-end laboratory workstations, computerized behavioral testing stations, a web-based server infrastructure for online experiments, two eye trackers, a shared 10,000+ core CPU cluster and large-scale GPU cluster at Vanderbilt?s ACCRE, as well as ample office and research space. Postdoctoral fellows will also take advantage of the collaborative environment, facilities, and support in the Department of Psychology, Vanderbilt Brain Institute, Vanderbilt Data Science Institute, and Vanderbilt Vision Research Center. And as Dave Grohl of the Foo Fighters has said, ?Everybody now thinks that Nashville is the coolest city in America.? Candidates can hold a Ph.D. in psychology, neuroscience, computer science, mathematics, engineering, or related disciplines. Some demonstrated experience with computational modeling is required. Some knowledge of vision, cognition, and/or neuroscience is desired but not required. Start date is negotiable, but preference will be given to candidates who can begin this spring or summer. Applications will be reviewed on a rolling basis. Salary will be based on the NIH postdoctoral scale. Applicants should send a cover letter with a brief research statement, a current CV, and names and email addresses of three references (who can provide recommendation letters) to: Thomas Palmeri thomas.j.palmeri at vanderbilt.edu catlab.psy.vanderbilt.edu *apologies for cross-posting* -------------------------- Thomas J. Palmeri Distinguished Professor of Psychology Director of Undergraduate Research, Data Science Institute Department of Psychology 507 Wilson Hall Vanderbilt University 111 21st Avenue South Nashville, Tennessee 37240 email: thomas.j.palmeri at vanderbilt.edu lab: http://catlab.psy.vanderbilt.edu pronouns: he/him/his -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1620 bytes Desc: not available URL: From bernstein.communication at fz-juelich.de Thu Mar 10 08:12:31 2022 From: bernstein.communication at fz-juelich.de (Bernstein Communication) Date: Thu, 10 Mar 2022 14:12:31 +0100 Subject: Connectionists: Call for Satellite Workshop Proposals, Bernstein Conference 2022 in Berlin Message-ID: <5a79ed4d-bd78-75dc-41d3-93cc5d9c9e81@fz-juelich.de> Call for Satellite Workshop Proposals, Bernstein Conference 2022 in Berlin +++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops preceding the Bernstein Conference 2022 in Berlin. +++ ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES - Satellite Workshops: September 13 - 14, 2022 o Tuesday, Sep 13, 14:00 ? 18:00 CEST o Wednesday, Sep 14, 8:30 ? 12:30 CEST - Main Conference: September 14 ? October 16, 2022 - Deadline for Satellite Workshop proposal submission: +++ April 10, 2022 +++ - Notification of workshop acceptance: planned in early May 2022 ____ WORKSHOP PROPOSALS The pre-conference Satellite Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster extensive discussion and debate, rather than a series of talks. Proposals are welcome for either half-day or full-day workshops. We aim at organizing workshops in Berlin, please ask potential speakers about their availability for the in-person meeting. In addition, there might be a possibility for a few hybrid workshops. Selection criteria for workshop proposals will include scientific excellence, topical relevance and diversity in gender and career level of the selected speakers. Submit your workshop proposal here: https://indico3-jsc.fz-juelich.de/event/9/registrations/2/ +++ Deadline: April 10, 2022? not to be extended +++ ____ FINANCIAL SUPPORT Workshop registration is free for all organizers and speakers of workshops. Workshop organizers will additionally receive a waiver for the main conference fee. From the accepted workshops up to ten workshops will be selected to receive financial support of up to 1500 ? each. ____ WORKSHOP SELECTION COMMITTEE Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) Raoul Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumachenko (Program Vice Cahir) Megan Carey Brent Doiron Tatjana Engel Christian Leibold Timothy O?Leary Srdjan Ostojic Cristina Savin Mark van Rossum Friedemann Zenke ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From szadkrud at fel.cvut.cz Thu Mar 10 08:05:28 2022 From: szadkrud at fel.cvut.cz (Rudolf Szadkowski) Date: Thu, 10 Mar 2022 14:05:28 +0100 Subject: Connectionists: [CFP] - Workshop on Self-Organizing Maps (WSOM+) - July 2022, Prague, Czechia Message-ID: <413063ae-cd18-cda4-01f2-ca6521469b5f@fel.cvut.cz> Dear Colleague, We cordially invite you to submit a paper to the upcoming 14th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+ 2022) July 6-8, 2022, Prague, Czechia https://wsom22.fel.cvut.cz/ Important Dates Paper submission:??? ??? ??? ??? ??? ??? March 25, 2022 Notification of provisional acceptance:??? April 30, 2022 Camera-ready papers:??? ??? ??? ??? ??? May 15, 2022 Final acceptance:??? ??? ??? ??? ??? ??? May 22, 2022 Topics: * Data analysis and visualization * Clustering and visualization performance metrics * Time series analysis and signal processing * Mathematical approaches including information theory, mathematical statistics and statistical Machine Learning * Software and hardware implementations * Architectural solutions including hierarchical and growing networks, ensemble models and special metrics * Unsupervised feature selection, extraction and data pre-processing * Interpretable and explainable models * Large-scale data analysis (Big Data) * Unsupervised models in computational neuroscience * Models, experimental investigations and applications of autonomous mental development We also call for and encourage scientific and application-oriented papers that demonstrate the use of the aforementioned methods and models in different areas including but not limited to: Data mining, including stream mining and process mining: * Pattern recognition * Knowledge management * Business intelligence and financial analysis * Anomaly detection and outlier analysis * Industrial applications * Scientific applications * Bioinformatics, biostatistics and applications in biomedicine and healthcare * Telecommunications * Transport optimization * Cognitive modeling * Language modeling * Robotics and intelligent systems * Image processing and vision * Speech processing and text and document analysis Contact: Jan Faigl, Czech Technical University in Prague, Czechia faiglj at fel.cvut.cz Sincerely, WSOM+ 2022 Organizing Committee -- Tato zpr?va byla zkontrolov?na na viry programem Avast Antivirus. https://www.avast.com/antivirus -------------- next part -------------- A non-text attachment was scrubbed... Name: wsom22-cfp.pdf Type: application/pdf Size: 118835 bytes Desc: not available URL: From tanya.brown at ae.mpg.de Thu Mar 10 06:08:16 2022 From: tanya.brown at ae.mpg.de (Brown, Tanya) Date: Thu, 10 Mar 2022 11:08:16 +0000 Subject: Connectionists: Job Posting : Data Scientist or Scientific Software Engineer at the Max Planck Institute Message-ID: Are you passionate about open science? Do you thrive in a collaborative, team science environment? Have you worked with large, open databases and have experience with data architecture, data management and data release? Familiar with XNAT? And have strong coding skills, particularly in python, and know the difference between good/bad code? Do you consider yourself to be a leader and interested in making a significant contribution towards setting standards and best practices in open neuroscience? If this sounds like you, then you may be the ideal candidate for the role as a Scientific Data Scientist with the COGITATE Consortium at the Max Planck Institute for Empirical Aesthetics in Frankfurt, DE. ____________________________________ Data Scientist or Scientific Software Engineer (m/f/x) at the Max Planck Institute for Empirical Aesthetics As part of an externally funded project with members of the Cogitate Consortium, we are seeking to hire a Data Scientist or Scientific Software Engineer, ideally one with a background in research data management (RDM), FAIR data, and database administration, who will contribute to establishing the data architecture infrastructure for open and reusable data, generate experimental code, and advance the development of reproducible neuroscience tools and processing pipelines in interdisciplinary research projects. The position will involve creating tools for the efficient organization and exploration of openly shared raw and processed datasets. It is also ideal for networking in the open science community as it includes interaction with the open (neuro)science community; and it will be a unique opportunity for someone keen to contribute to the development of open science and large-scale collaborations, as well as to community efforts and dissemination. Your tasks * Preparing and reviewing data for open share with the community; * Developing, testing and implementing scientific software, i.e., reproducible analysis pipelines and data storage for open science building on the BIDS standard; * Reviewing code for reproducible pipelines; * Writing supporting materials and documentation for researcher end users; * Assisting staff with parallelizing scientific software and in the use of cluster and cloud computation; * Providing support and training for data management; * Liaising between the lab and the Institute?s core IT team; * Exchanging and networking within national (NFDI, MPDL, etc.) and international (RDA, EOSC, etc.) initiatives. Your Profile * Completed university degree in natural sciences, engineering, or similar field (e.g., mathematics, statistics, computer science, physics, informatics, neuroscience); * Solid programming skills, preferably in Python and/or C++; * Experience with Python libraries (e.g., NumPy, SciPy, Matplotlib, and pandas) is beneficial; * Experience with software development (e.g., version control with Git) and data organization (e.g., databases with SQL and MySQL) is preferable; * Very good knowledge of Unix operating system, shell scripts, cron jobs; * Interest in interdisciplinary projects and cognitive and systems neuroscience; * Strong organizational skills and ability to work independently; * Team spirit, reliability, and sense of responsibility; * High degree of spoken and written fluency in English; knowledge of German is a plus; * Preference will be given to candidates with prior experience in any of these domains: BIDS standards, open science tools, neuroimaging techniques, and data analysis (especially fMRI and MEG/EEG) and/or XNAT. Our offer We offer an exciting interdisciplinary field of engagement in an international scientific environment. The Institute is located in an attractive location with excellent infrastructure in Frankfurt?s Westend neighbourhood. You can expect a modern, well-equipped workplace with flexible working hours (some remote working is possible) and the opportunity to participate in (international) conferences and project meetings. Further development of your personal strengths, e.g., through direct interactions with researchers forming part of the Cogitate Consortium (e.g., Christof Koch, Giulio Tononi, Stanislas Dehaene, Gabriel Kreiman, Ole Jensen, Sylvain Baillet, among many others) is possible. The position will begin earliest on May 1, 2022 and is initially limited to 18 months, with the possibility of an extension pending funding approval. Salary is paid in accordance with the collective agreement for the public sector (TV?D Bund), according to your qualifications and experience. The Max Planck Society strives for gender equality and diversity. We are also committed to increasing the number of individuals with disabilities in our workforce. Therefore, applicants of all backgrounds are welcome. Your application Your application should include: your detailed CV (including details of your educational background and skills); a cover letter that explains why this position interests you and how your skills and abilities are suitable; copies of relevant degrees and/or certificates. Please send these materials all together in a single PDF file, before April 1, 2022, by e-mail to job at ae.mpg.de using the code ?TWCF Research Data? in the subject line. Please feel free to contact Tanya Brown (tanya.brown at ae.mpg.de) if you have any questions about the position. My working hours may not be yours, respond in your own time Tanya Brown Scientific Coordinator ARC-Cogitate Max Planck Institute for Empirical Aesthetics [1622818538171] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OutlookEmoji-16228185381713c5ff28c-e8c6-479c-8d60-c089f1703eb7.png Type: image/png Size: 19053 bytes Desc: OutlookEmoji-16228185381713c5ff28c-e8c6-479c-8d60-c089f1703eb7.png URL: From pbrazdil at inescporto.pt Thu Mar 10 07:06:43 2022 From: pbrazdil at inescporto.pt (Pavel Brazdil) Date: Thu, 10 Mar 2022 12:06:43 +0000 Subject: Connectionists: New book on Metalearning Message-ID: Dear colleagues, it is our pleasure to announce that the book *Metalearning: Applications to Automated Machine Learning and Data Mining,* is now Open Access available: https://link.springer.com/book/10.1007/978-3-030-67024-5 This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. As one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. We hope that this book is informative for both you and your students. In case you have any questions or feedback, don't hesitate to reach out. Best, Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren -------------- next part -------------- An HTML attachment was scrubbed... URL: From vinxlemons at gmail.com Thu Mar 10 11:06:53 2022 From: vinxlemons at gmail.com (Vincenzo Lomonaco) Date: Thu, 10 Mar 2022 17:06:53 +0100 Subject: Connectionists: [CFP Deadline Extended] CVPR 2022 Continual Learning Workshop Message-ID: Dear all, The* Call for Paper Deadline* of the *CVPR 2022 Continual Learning Workshop * has been extended to the *21st of March*! Following recent CVPR updates , the workshop will be held *in-person *but still guaranteeing remote participation! We are looking forward to meeting you all in *New Orleans*! P.s. We accept submissions of both *accepted *and *rejected* papers from the main CVPR conference track with a special dual-submission policy. *More details about the workshop below! * ---------------------------------------------- *CVPR 2022 Workshop on Continual Learning (3rd Edition)* The CVPR 2022 Workshop on Continual Learning (CLVision, 3rd Edition) aims to gather researchers and engineers from academia and industry to discuss the latest advances in Continual Learning. In this one-day workshop, we will have regular paper presentations, invited speakers, and technical benchmark challenges to present the current state of the art, as well as the limitations and future directions for Continual Learning, arguably one of the most crucial milestones of AI. We invite Continual Learning contributions of any kind, not necessarily related to Computer Vision. Join one of the largest gatherings of Continual Learning in the world (last year we had more than 600 unique attendees)! *How to participate?* 1. Apply a continual learning related paper (short, non-archival or full-length). 2. Submit to our well-tailored challenge tracks. 3. Save the date and join the workshop! (June 20th 2022) *Important Dates (call for papers)* - Workshop paper submission deadline: *March 21th 2022* (11:59 pm Pacific Time) - Notification to authors: April 10th 2022 - Camera-ready deadline: April 20th 2022 - Workshop date: June 20th 2022 *Invited Speakers* - Bing Liu (University of Chicago) - Irina Higgins (Google DeepMind) - Sebastian Risi (University of Copenhagen) - Zeynep Akata (University of T?bingen) - Tyler Hayes (RochesterIT) - Siddharth Swaroop (Cambridge) *General Chairs* - Matthias De Lange (KU Leuven) - Vincenzo Lomonaco (University of Pisa & ContinualAI) - Pau Rodriguez (Element AI) - David Vazquez (Element AI) - Antonio Carta (University of Pisa) - Gido Van de Ven (Baylor College of Medicine) - Dhireesha Kudithipudi (UTSA) - Irina Rish (MILA) - Tinne Tuytelaars (KU Leuven) *Challenge Description* For this workshop, Meta will release a novel dataset featuring short video sessions taken from an egocentric point of view. The annotation level will allow us to define 3 tracks in which you can participate: a more ?classic? classification track, and two new detection tracks. Besides making detection in CL more accessible, very generous prizes will be awarded to the best solutions! Will you be the first to define the state-of-the art on this new benchmark? The latest info about the challenge is available at the official workshop website: 3rd CLVISION CVPR Workshop - Challenge *Important Dates (challenge)* (Subject to change, check the official website) - Beginning of the pre-selection phase (release of 'demo track' data and baselines): 7 March 2022 - Opening of submission tracks: Later in March 2022 (see website for updates) - Pre-selection phase ends: 29 May 2022 - Final ranking will be disclosed in the workshop: June 2022 *Challenge Chairs* - Lorenzo Pellegrini (University of Bologna) - Zhicheng Yan (Meta) - Chenchen Zhu (Meta) Check out the Official Website , for more details and contact us for any question! Kind regards, Vincenzo Lomonaco, and the CLVision board ------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From juyang.weng at gmail.com Thu Mar 10 17:21:37 2022 From: juyang.weng at gmail.com (Juyang Weng) Date: Thu, 10 Mar 2022 17:21:37 -0500 Subject: Connectionists: A challenge to Post-Selections in Deep Learning Message-ID: Through a review of AI papers published in Nature since 2015, this report discusses the technical flaws called Post-Selection in the charged papers. This report suggests the appropriate protocol, explains reasons for the protocol, why what the papers have done is inappropriate and therefore yields misleading results. The charges below are applicable to whole systems and system components, and in all learning modes, including supervised, reinforcement, and swarm learning modes, since the concepts about training sets, validation sets, and test sets all apply. A reinforcement-learning algorithm includes not only a handcrafted form of task-specific, desired answers but also values of all answers, desired and undesired. A supervised learning method typically does not provide values for intermediate steps (e.g., hidden features), but in contrast, a reinforcement learning mode must provide values for intermediate steps using a greedy search (e.g., time discount). Casting dice is the key protocol flaw that owes a due transparency about all losers (e.g., how good they are). A commercial product is impractical if it requires every customer to cast dice and almost all trained ?lives? must cause accidents and be punished by deaths except the luckiest ?life?. All the losers and the luckiest are unethically determined by so called ?unseen? (in fact should be called ?first seen?) test sets but the human programmer saw all the scores before he decided who are losers and who is the luckiest. Such a deep learning methodology gives no product credibility. http://www.cse.msu.edu/%7eweng/research/2021-06-28-Report-to-Nature-specific-PSUTS.pdf -- Juyang (John) Weng -------------- next part -------------- An HTML attachment was scrubbed... URL: From T.Nowotny at sussex.ac.uk Thu Mar 10 16:07:49 2022 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Thu, 10 Mar 2022 21:07:49 +0000 Subject: Connectionists: Call for Abstracts: 31st Annual Computational Neuroscience Meeting (CNS*2022) in Melbourne In-Reply-To: References: Message-ID: Organization for Computational Neurosciences Call for Abstracts We are inviting abstracts ?for the 31st Annual Computational Neuroscience Meeting (CNS*2022) - Melbourne, Australia July 16-20, 2022 The main meeting begins the evening of Saturday, July 16 and runs through Tuesday, July 19. It will be preceded by a day of tutorials (Saturday, July 16) and followed by workshops (Tuesday, July 18 mixed with the main meeting and Wednesday, July 19 workshops only). Keynote Speakers Michael Breakspear, The University of Newcastle Tara Hamilton, University of Technology Sydney Joseph Lizier, The University of Sydney Kristin Sellers, University of California, San Francisco Registration and abstract submission will open Monday, March 14th. Abstract submission deadline: April 15th, 2022. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply using the drop-down box on the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/cns-2022-registration Abstract submission for main meeting: https://cns.confmaster.net/ For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2022 Workshop proposals are being accepted at: https://www.cnsorg.org/cns-2022-call-for-workshops Tutorial proposals are being accepted at: https://www.cnsorg.org/cns-2022-call-for-tutorials Thomas Nowotny, Vice-President OCNS -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: http://www.cnsorg.org -------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From juergen at idsia.ch Thu Mar 10 23:57:02 2022 From: juergen at idsia.ch (Schmidhuber Juergen) Date: Fri, 11 Mar 2022 04:57:02 +0000 Subject: Connectionists: Rising Stars in AI Symposium at KAUST Message-ID: The AI Initiative at KAUST is hosting the inaugural "Rising Stars in AI Symposium" at KAUST from March 13-15. This event is geared towards young researchers (including Ph.D. students, PostDocs and young faculty), who have recently published promising work at leading AI venues. There will be dozens of brief in-person presentations about papers recently accepted at major AI conferences such as NeurIPS, CVPR, EMNLP, ACL, ICML, ICLR, etc. All speakers will start with an intro for non-AI experts. To view the complete program and for more event details, please visit the symposium website: https://cemse.kaust.edu.sa/ai/aii-symp-2022 The symposium will be limited to in-person attendance. So, if you are interested in joining the event, please register here: https://docs.google.com/forms/d/e/1FAIpQLSfNnc3N9sGJwkRfePzsZakQSkunhxRadnecGSOd1m7-F7At-A/viewform?hl=en We will try our best to accommodate those who register to attend in person. J?rgen Schmidhuber Director, AI Initiative, KAUST https://people.idsia.ch/~juergen/kaust-2021.html https://people.idsia.ch/~juergen/kaust-2021-hiring.html From ioannakoroni at csd.auth.gr Fri Mar 11 03:50:04 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Fri, 11 Mar 2022 10:50:04 +0200 Subject: Connectionists: Invitation to offer International AI Doctoral Academy (AIDA) courses. AI Free e-lecture and Q & A session on 'How to get involved and get the most out of the AIDA web system', Tuesday 15/3/2022, 17:00-18:00 CET References: <000b01d83456$f2c4b880$d84e2980$@csd.auth.gr> Message-ID: <00f301d83525$00ce93f0$026bbbd0$@csd.auth.gr> Dear AI Professors and senior AI scientists, this message presents you a new option to offer AI short courses and summer schools through the International AI Doctoral Academy (AIDA) https://www.i-aida.org/ As many of you organize such courses anyway, this option allows you to catapult the registration number and impact of your courses, because: a. AIDA offers a seal of excellence to your courses b. AIDA-AUTH use targeted dissemination channels that can catapult the registration number and impact of your course (The attached figure shows tha (t registrations increased by 8x fold after a single course announcement in these channels). AIDA has 73 excellent members (Universities, Research Centers and Companies with top AI record), 100 AIDA Lecturers (offering courses and/or supervising AIDA students) and 200 AIDA Students (PhD candidates or Postdoc researchers from AIDA members). So far, in its first year (2021), it had a robust educational offer, consisting of many AI short courses, summer schools and semester courses/lecture series, as well as top AI Excellence Lectures on bi-weekly basis. Any qualified AI Professors or senior AI scientists worldwide is welcomed to offer an AIDA short or summer school or open up her/his semester courses to AIDA students, no matter if her/his Institution is an AIDA member. You can set up your own terms on how to offer such courses (including registration fee policy), in cooperation with the AIDA Educational Planning committee, whose primary aim is to ensure top AIDA course quality. You can have both AIDA student and external student registrations in these courses, while offering favorable terms to AIDA students. No AIDA fees are involved in such courses. Alternatively, you can always ask AIDA technical sponsorship of your courses (with neither dissemination aid nor financial contribution). Instructions on how to apply to offer such a course and application template can be found in: https://www.i-aida.org/phd-studies/short-courses/ Please cc such an application to Stefano Berretti stefano.berretti at unifi.it ; Pietro Pala pietro.pala at unifi.it ; and Ioannis Pitas pitas at csd.auth.gr You are invited to attend the 1-hour free e-lecture and Q & A session on 'How to get involved and get the most out of the AIDA web system', on Tuesday 15/3/2022, 17:00-18:00 CET. Please book this time slot! Telco Zoom link: https://authgr.zoom.us/j/94866425617 Passcode: 867064 You will learn how-to: 1. become AIDA Lecturer and start offering AIDA courses or contributing to AIDA Educational Resource Repository 2. get involved in AIDA activities 3. ask your Institution (University, Research Center or Company with AI record) to become AIDA member. Anybody coming from AIDA members or external is welcomed to attend and spread the word. AIDA aims high to become an international reference point on AI excellence. Related course offers for the Spring semester 2022 can be found in the AIDA www site: https://www.i-aida.org/phd-studies/short-courses/ https://www.i-aida.org/phd-studies/lecture-series-2/ Best regards Prof. Ioannis Pitas AIDA Chair Registration increase by 8x fold after a single course announcement in the AIDA-AUTH dissemination channels -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 25228 bytes Desc: not available URL: From malin.sandstrom at incf.org Fri Mar 11 04:48:04 2022 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Fri, 11 Mar 2022 10:48:04 +0100 Subject: Connectionists: Neuro tool projects with INCF in Google Summer of Code - open to all beginners to open source Message-ID: Dear all, tell your friends and colleagues - for the first time, the Google Summer of Code Program is open to all beginners and newcomers to open source. INCF participates as a mentoring organization for the 12th time. This year, we offer 50 different projects suggested and mentored by tool developers in the neuroscience community. If you are interested in becoming an open source contributor, this program is a fantastic opportunity! Links: INCF Ideas List for 2022 Google Summer of Code FAQ Google Summer of Code 2022 timeline Recommendations for GSoC contributors Google Summer of Code guides for mentors and students Read our blog about GSoC 2022 Best regards, Malin INCF Org Admin for GSoC 2022 -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Fri Mar 11 06:03:33 2022 From: Francesco.Rea at iit.it (Francesco Rea) Date: Fri, 11 Mar 2022 11:03:33 +0000 Subject: Connectionists: [jobs] DEADLINE POSTPONED: Post-doc Functional Memory Network in collaborative AI for context awareness and action planning in robotics @ Italian Institute of Technology (IIT) Message-ID: <76cf8398bf874b34b5df9ce44b37b59a@iit.it> Post-doc Functional Memory Network in collaborative AI for context awareness and action planning in robotics At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centers around Italy and two outer-stations based in the US for a truly interdisciplinary experience. The CONTACT Research Line is coordinated by Alessandra Sciutti, who has extensive experience in Cognitive Architecture for Human Robot Interaction. Within the team, your main responsibilities will be: * Exploiting functional memory networks and related AI in a cognitive architecture for better human robot collaboration; * Design of control systems for dextrose mobile robots aiming at natural human-robot collaboration; * Development of an AI solution for context awareness in collaborative unstructured manufacturing contexts; * Development of an AI solution for action planning in collaborative unstructured manufacturing contexts. This open position is financed by European Commission through HBP (Human Brain Project) project CEoI for SGA3 - Application of functional architectures supporting advanced cognitive functions to address AI and automation problems of industrial and commercial within the awarded PROMEN-AID, Proactive Memory iN AI for Development project (GA-94553) Please submit your application using the online form (https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=21000089 ) and including a detailed CV, cover letter (outlining motivation, experience and qualifications), names and contact of 2 referees. Application's deadline: March 31, 2022. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoprinkova at yahoo.com Fri Mar 11 04:25:21 2022 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Fri, 11 Mar 2022 09:25:21 +0000 (UTC) Subject: Connectionists: AIMSA 2022 Second CFP References: <2065232279.1399470.1646990721981.ref@mail.yahoo.com> Message-ID: <2065232279.1399470.1646990721981@mail.yahoo.com> The 19th International Conference on ArtificialIntelligence: Methodology, Systems, Applications Golden Sands resort, Varna, Bulgaria, 8-10thSeptember, 2022 www.aimsaconference.org ? Initiated in1984, the biennial Artificial Intelligence: Methodology, Systems, Applications(AIMSA) conference is a premier single-track forum for exchanging informationand research results on theory and principles of artificial intelligence (AI)along with real-world applications of intelligent systems technology. Theconference traditionally brings together researchers and practitioners in allareas of AI from both the academia and industry to meet and share their ideasand experiences and learn about the recent trends and developments incontemporary AI. The 19th edition of AIMSA will be held inthe beautiful Golden Sands resort near Varna, Bulgaria. With its mild climateand excellent opportunities for outdoor activities, water sports andgastronomy, Golden Sands promise to be a wonderful venue for a memorableconference. TOPICS The conferencewelcomes submissions of original, high quality papers in all areas ofArtificial Intelligence, including (but not limited to) traditional topics suchas the algorithms, implementations and (or) real-world applications ofknowledge discovery, data mining, machine learning, evolutionary computing,pattern recognition, search, reasoning, planning, natural language processing,intelligent agents, multiagent systems, robotics and sensing, etc. All submissionswill be subject to a single-blind academic peer review by at least threemembers of the program committee. Selection criteria include accuracy andoriginality of ideas, clarity and significance of results, and quality ofpresentation. ?Theauthor(s) of the best paper (which will be selected based on the votes of theattendees) of the conference will receive the Best Paper Award during theconference. KENOTESPEAKERS: Prof.Plamen Angelov (School of Computing andCommunications, Lancaster University, UK): From Hyper-parametric towardsPrototype-based Deep Learning Prof.Julian. F. Miller (Department of ElectronicEngineering, University of York, UK): Cartesian Genetic Programming IMPORTANTDATES Submission deadline:??? ????????????????? May 22, 2022 Notification of acceptance:??????? ???June 20, 2022 Deadline for camera-ready:?????? ???July 1, 2022 Conference:????? ????????????????????????????????September 8-10 2022 ? PROCEEDINGS The proceedings of AIMSA 2022 conferencewill be published by Springer Nature in their Lecture Notes in ArtificialIntelligence subline of the Lecture Notes in Computer Science series.? JOINTEVENT The 1st International Virtual Conference onVisual Pattern Extraction and Recognition for Cultural Heritage (https://sites.google.com/view/viperc-2022/home) LOCATION Golden Sands is a modern resort withtraditions, and history going back 50 years. A unique blend of lovely naturepark, warm sea, and fine golden sand! Golden Sands is the winner of a"Blue Flag" - a prestigious international award for environmentallyclean resorts. ORGANISERS Bulgarian Artificial IntelligenceAssociation Institute of Information andCommunication Technologies at the Bulgarian Academy of Sciences (IICT ? BAS) -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Mar 12 10:42:57 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 12 Mar 2022 16:42:57 +0100 (CET) Subject: Connectionists: DeepLearn 2022 Spring: early registration March 16 Message-ID: <23764799.419431.1647099777735@webmail.strato.com> ****************************************************************** 5th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Spring Guimar?es, Portugal April 18-22, 2022 https://irdta.eu/deeplearn/2022sp/ ***************** Co-organized by: Algoritmi Center University of Minho, Guimar?es Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: March 16, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Spring will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, and Bournemouth. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 21 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Spring is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Spring will take place in Guimar?es, in the north of Portugal, listed as UNESCO World Heritage Site and often referred to as the birthplace of the country. The venue will be: Hotel de Guimar?es Eduardo Manuel de Almeida 202 4810-440 Guimar?es http://www.hotel-guimaraes.com/ STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full in vivo online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Kate Smith-Miles (University of Melbourne), Stress-testing Algorithms via Instance Space Analysis Mihai Surdeanu (University of Arizona), Explainable Deep Learning for Natural Language Processing Zhongming Zhao (University of Texas, Houston), Deep Learning Approaches for Predicting Virus-Host Interactions and Drug Response [virtual] PROFESSORS AND COURSES: Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Pretrained Language Model Era Altan ?ak?r (Istanbul Technical University), [introductory] Introduction to Deep Learning with Apache Spark Rylan Conway (Amazon), [introductory/intermediate] Deep Learning for Digital Assistants Jianfeng Gao (Microsoft Research), [introductory/intermediate] An Introduction to Conversational Information Retrieval Daniel George (JPMorgan Chase), [introductory] An Introductory Course on Machine Learning and Deep Learning with Mathematica/Wolfram Language Bohyung Han (Seoul National University), [introductory/intermediate] Robust Deep Learning Lina J. Karam (Lebanese American University), [introductory/intermediate] Deep Learning for Quality Robust Visual Recognition Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics Jennifer Ngadiuba (Fermi National Accelerator Laboratory), [intermediate] Ultra Low-latency and Low-area Machine Learning Inference at the Edge Lucila Ohno-Machado (University of California, San Diego), [introductory] Use of Predictive Models in Medicine and Biomedical Research Bhiksha Raj (Carnegie Mellon University), [introductory] Quantum Computing and Neural Networks Bart ter Haar Romenij (Eindhoven University of Technology), [intermediate] Deep Learning and Perceptual Grouping Kaushik Roy (Purdue University), [intermediate] Re-engineering Computing with Neuro-inspired Learning: Algorithms, Architecture, and Devices Walid Saad (Virginia Polytechnic Institute and State University), [intermediate/advanced] Machine Learning for Wireless Communications: Challenges and Opportunities Yvan Saeys (Ghent University), [introductory/intermediate] Interpreting Machine Learning Models Martin Schultz (J?lich Research Centre), [intermediate] Deep Learning for Air Quality, Weather and Climate Sofia Vallecorsa (European Organization for Nuclear Research), [introductory/intermediate] Deep Generative Models for Science: Example Applications in Experimental Physics Michalis Vazirgiannis (?cole Polytechnique), [intermediate/advanced] Machine Learning with Graphs and Applications Guowei Wei (Michigan State University), [introductory/advanced] Integrating AI and Advanced Mathematics with Experimental Data for Forecasting Emerging SARS-CoV-2 Variants Xiaowei Xu (University of Arkansas, Little Rock), [intermediate/advanced] Deep Learning for NLP and Causal Inference Guoying Zhao (University of Oulu), [introductory/intermediate] Vision-based Emotion AI OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by April 10, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by April 10, 2022. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by April 10, 2022. ORGANIZING COMMITTEE: Dalila Dur?es (Braga, co-chair) Jos? Machado (Braga, co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) Paulo Novais (Braga, co-chair) David Silva (London, co-chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022sp/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will get exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2022sp/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Centro Algoritmi, University of Minho, Guimar?es School of Engineering, University of Minho Intelligent Systems Associate Laboratory, University of Minho Rovira i Virgili University Municipality of Guimar?es Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From juyang.weng at gmail.com Fri Mar 11 14:57:56 2022 From: juyang.weng at gmail.com (Juyang Weng) Date: Fri, 11 Mar 2022 14:57:56 -0500 Subject: Connectionists: Rising Stars in AI Symposium at KAUST Message-ID: Dear Juergen, Your service is appreciated but what you are doing is risky. I predict that a large number of them, if not all, are "rising stars" of protocol flaws. Please read why: ------------------------------ Message: 2 Date: Thu, 10 Mar 2022 17:21:37 -0500 From: Juyang Weng To: Post Connectionists Subject: Connectionists: A challenge to Post-Selections in Deep Learning Message-ID: Content-Type: text/plain; charset="utf-8" Through a review of AI papers published in Nature since 2015, this report discusses the technical flaws called Post-Selection in the charged papers. This report suggests the appropriate protocol, explains reasons for the protocol, why what the papers have done is inappropriate and therefore yields misleading results. The charges below are applicable to whole systems and system components, and in all learning modes, including supervised, reinforcement, and swarm learning modes, since the concepts about training sets, validation sets, and test sets all apply. A reinforcement-learning algorithm includes not only a handcrafted form of task-specific, desired answers but also values of all answers, desired and undesired. A supervised learning method typically does not provide values for intermediate steps (e.g., hidden features), but in contrast, a reinforcement learning mode must provide values for intermediate steps using a greedy search (e.g., time discount). Casting dice is the key protocol flaw that owes a due transparency about all losers (e.g., how good they are). A commercial product is impractical if it requires every customer to cast dice and almost all trained ?lives? must cause accidents and be punished by deaths except the luckiest ?life?. All the losers and the luckiest are unethically determined by so called ?unseen? (in fact should be called ?first seen?) test sets but the human programmer saw all the scores before he decided who are losers and who is the luckiest. Such a deep learning methodology gives no product credibility. http://www.cse.msu.edu/%7eweng/research/2021-06-28-Report-to-Nature-specific-PSUTS.pdf ---- Date: Fri, 11 Mar 2022 04:57:02 +0000 From: Schmidhuber Juergen To: "connectionists at cs.cmu.edu" Subject: Connectionists: Rising Stars in AI Symposium at KAUST Message-ID: Content-Type: text/plain; charset="utf-8" The AI Initiative at KAUST is hosting the inaugural "Rising Stars in AI Symposium" at KAUST from March 13-15. This event is geared towards young researchers (including Ph.D. students, PostDocs and young faculty), who have recently published promising work at leading AI venues. There will be dozens of brief in-person presentations about papers recently accepted at major AI conferences such as NeurIPS, CVPR, EMNLP, ACL, ICML, ICLR, etc. All speakers will start with an intro for non-AI experts. To view the complete program and for more event details, please visit the symposium website: https://cemse.kaust.edu.sa/ai/aii-symp-2022 The symposium will be limited to in-person attendance. So, if you are interested in joining the event, please register here: https://docs.google.com/forms/d/e/1FAIpQLSfNnc3N9sGJwkRfePzsZakQSkunhxRadnecGSOd1m7-F7At-A/viewform?hl=en We will try our best to accommodate those who register to attend in person. J?rgen Schmidhuber Director, AI Initiative, KAUST https://people.idsia.ch/~juergen/kaust-2021.html https://people.idsia.ch/~juergen/kaust-2021-hiring.html -- Juyang (John) Weng -------------- next part -------------- An HTML attachment was scrubbed... URL: From francisco.pereira at gmail.com Fri Mar 11 20:39:34 2022 From: francisco.pereira at gmail.com (Francisco Pereira) Date: Fri, 11 Mar 2022 20:39:34 -0500 Subject: Connectionists: job: machine learning research scientist at NIMH Message-ID: ## HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the leading federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). ## About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. Our overarching goal is to use machine learning to improve every aspect of the scientific effort, from helping discover or develop theories to generating actionable results. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of high-end GPUs for deep learning, several large servers) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and recent publications at https://cmn.nimh.nih.gov/mlt ## About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Required experience: - deep learning, using PyTorch or Tensorflow Desirable experience: - reinforcement learning - Bayesian statistical modelling - other types of modelling of human/animal learning and decision-making - neuroimaging data processing/ analysis (any MRI modality, MEG, or EEG) - other types of neural data (e.g. neural recording, calcium imaging) all in the context of substantial research projects, ideally having led to submitted or published articles. Finally, you should have demonstrable experience programming in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. Backgrounds of team members include computer science, statistics, mathematics, and biomedical engineering. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests or community impact. If you would like to be considered for this position, please send francisco.pereira at nih.gov a CV, with your email serving as cover letter. We especially encourage applications from members of underrepresented groups in the machine learning research community. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest! -------------- next part -------------- An HTML attachment was scrubbed... URL: From Justus-prof at Piater.name Sun Mar 13 05:16:09 2022 From: Justus-prof at Piater.name (Justus Piater) Date: Sun, 13 Mar 2022 10:16:09 +0100 Subject: Connectionists: [Jobs] Tenure-Track Assistant Professor in Embodied AI and Machine Learning Message-ID: <878rteus9y.fsf@uibk.ac.at> The Department of Computer Science (at the Faculty of Mathematics, Computer Science and Physics) and the Digital Science Center at the University of Innsbruck seek to fill the joint position of a full-time Assistant Professor of Computer Science in the area of Embodied Artificial Intelligence and Machine Learning as soon as possible, ideally 01.09.2022. This position is initially limited to 6 years; a tenure-track agreement can be offered within the first year of employment. Upon positive evaluation, the position is converted into a tenured Associate Professorship. This career position is embedded within an attractive environment of existing competencies close to the above thematic area, including autonomous robotics, machine learning, computer vision, and data science, with many links to artificial intelligence in diverse scientific disciplines at the Department of Computer Science and at the Digital Science Center. Tasks The successful applicant should represent the area of embodied artificial intelligence and machine learning in research and teaching. Here, embodied artificial intelligence refers to AI in a broad sense, with a particular focus on interaction with the physical world via sensors and actuators. An important objective is the enhancement of the autonomy, flexibility, robustness, and communication capabilities of artificial systems in unstructured environments. Example research foci include: - autonomous robots or vehicles capable of learning - autonomous, open-ended learning - incremental/hierarchical learning of compositional concepts - learning and planning across continuous (sensory, action-policy) and discrete (symbolic) representations The candidate is expected to acquire their own research funding. Teaching comprises lectures, especially in the area of embodied artificial intelligence and machine learning, for the degree programs of the Department of Computer Science, and for the Digital Science Center, including introductory programming and data science courses for audiences from various disciplines. Tenured Associate Professors are also expected to teach mandatory courses in the Bachelor?s program. In addition, co-supervision of Bachelor?s, Master?s and PhD theses is expected. Participation in the academic self-administration is a matter of course. Required Qualifications 1. Doctoral degree in computer science or a related field; 2. Postdoctoral work experience after the dissertation/PhD; 3. Pertinent and independent scientific achievements beyond the dissertation/PhD; 4. Research experience and international visibility in the area of embodied artificial intelligence and machine learning; 5. Relevant publications in leading international, refereed conference proceedings and journals as well as presentations at international conferences and workshops; 6. Research collaborations with international partners; 7. Experience in the acquisition and implementation of externally-funded research projects; 8. Experience in the (co-)supervision of Bachelor?s and Master?s theses; 9. Pertinent experience in academic mobility during or after the PhD; 10. Proficiency (written and oral) in English; 11. Willingness to teach in German within two years after appointment; 12. Didactic competence and demonstrated teaching experience; 13. Social competencies, communication skills, and ability to work in teams. How to Apply The application must be submitted in English and must contain: 1. CV with a description of the academic and professional career; 2. List of scientific publications; 3. List of scientific presentations, other scientific achievements, and projects; 4. Names and contact information of at least two references; 5. Description of a research plan at the level of a habilitation; 6. Teaching statement and a list of courses taught with evaluations (if available). The University of Innsbruck strives to increase the proportion of its female employees, especially in leadership positions, and therefore explicitly invites women to apply. In the case of equivalent qualifications, female applicants will be given preference. The annual gross salary is ? 56,868 at the time of employment. It is raised to ? 64,394 if the tenure-track agreement is signed within the first year of employment, and once again if the qualification goals are completed (? 69,820 as of 2022). We look forward to your online application (Chiffre MIP 12521) by 22.04.22 at https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=12521 The legally binding text in German is available at the same URL. -- Justus Piater Head, Digital Science Center https://www.uibk.ac.at/disc/ Computer Science, Intelligent and Interactive Systems https://iis.uibk.ac.at/ University of Innsbruck, Austria From rbianchi at fei.edu.br Fri Mar 11 12:43:01 2022 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Fri, 11 Mar 2022 17:43:01 +0000 Subject: Connectionists: [CFP] 1st Brazilian Workshop on Artificial Intelligence in Finance Message-ID: <0AC6C71C-6406-49D5-9A9A-25FE8AD67D87@fei.edu.br> Second Call for Papers - 1st Brazilian Workshop on Artificial Intelligence in Finance -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 1st Brazilian Workshop on Artificial Intelligence in Finance Satellite Event of the XLII Congress of the Brazilian Computer Society Niter?i, Rio de Janeiro, August 3rd-4th, 2022. https://csbc.sbc.org.br/2022/bwaif/ Artificial Intelligence, and in particular Machine Learning, is a technology that is transforming how we integrate information, analyze data and make decisions, with large impact throughout our society. Advances in AI are being felt in our economy, with significant impacts in finance, including financial markets, services, and the global financial system more broadly. The Brazilian Workshop on Artificial Intelligence in Finance (BWAIF), which will have its first edition as a satellite event of the XLII Congress of the Brazilian Computer Society, will be a forum for researchers, professionals, educators and students to present and discuss innovations, trends, experiences and evolution in the fields of Artificial Intelligence and its applications in Finance. BWAIF will take place as a Satellite event of the SBC Congress, whose theme in 2022 is "Digital Empowerment: The Role of Computing in Building an Inclusive and Democratic Society". This theme has great relationship with the development of a society that uses digital resources for the development of inclusive platforms, aiming to allow people with less purchasing power access to financial products and where new companies focused on innovation with the use of Computing and Artificial Intelligence emerge. Although being an event of the Brazilian Computer Society conference, with papers being accepted in English and Portuguese, we encourage the participation of the international community, with main presentations in English. The conference will be held in person, in Niteroi, a city on the other side of Guanabara Bay, where Rio de Janeiro is located. Because of the famous Museu de Arte Contemporanea, Niteroi has become a major excursion for travellers to Rio. Niteroi is also the gateway to several beautiful beaches and colonial forts. Its close proximity to Rio makes it a popular day trip complete with breathtaking views of the bay and architectural wonders. TOPICS OF INTEREST It is of interest all studies that have not been published previously and that present new ideas, discussions about existing works, practical studies and experiments relevant to the application of Artificial Intelligence in the financial area. Topics of interest include, but are not limited to: AI and Cryptocurrencies AI techniques for financial decision making AI techniques for financial forecasting AI techniques for Portfolio analysis AI techniques for simulation of markets, economies, and other financial systems AI techniques for risk assessment and management Computational game-theoretic analysis of financial scenarios Ethics and fairness of AI in finance Explainability, interpretability and trustworthiness of AI in finance Infrastructure to support AI research in finance Multi-agent systems in finance Natural Language Processing and its applications in finance Robustness, security, and privacy of AI systems in finance Computational regulation and compliance in finance Robustness and uncertainty quantification for AI models in finance Synthetic Data and benchmarks for AI pipelines for financial applications Trading algorithms ARTICLE FORMAT AND SUBMISSION Articles are limited to twelve (12) pages, including text, references, appendices, tables, and figures. Articles must have a summary of a maximum of 300 words in addition to the key words. Articles can be written in Portuguese or English, using the SBC article style, available at: http://www.sbc.org.br/documentos-da-sbc/summary/169-templates-para-artigos-e-capitulos-de-livros/878-modelosparapublicaodeartigos It is also available at Overleaf: https://pt.overleaf.com/latex/templates/sbc-conferences-template/blbxwjwzdngr Works written in Portuguese must have a title, abstract and key words in English. Submissions must be made online using the JEMS system: https://jems.sbc.org.br/bwaif2022 The review process will be double-blind (names and institutions of the authors should be omitted in the articles). All papers submitted will be reviewed by at least two experts in the field. The authors of the accepted papers will be invited to present their papers in an oral presentation or in a poster session. All accepted papers will be published electronically in SBC's open library, SBC Open Lib SOL: https://sol.sbc.org.br IMPORTANT DATES - Deadline for submission of papers: March 31st - Results: May 6th - Camera-ready submission: May 20th - Authors' registration: May 20th AUTHORS' REGISTRATION For an accepted article to be presented and included in the events, it is necessary that at least one of the authors of the article register in the event in the professional category. Each entry in the professional category entitles to the publication of a single article, considering any of the Full SBC Conference base events or satellite events. Authors with more than one article approved at any CSBC event must pay a "publishing fee" per additional article. The amount of this fee can be seen on the CSBC 2022 registration page. ORGANIZATION General Organisers and the Program Committee: Reinaldo A.C. Bianchi, FEI University Center. Anna Helena Reali Costa, Polytechnic School of the University of S?o Paulo. Local support: Mario Benevides, Institute of Computing, Fluminense Federal University. Paulo Mann, Computer Institute, Fluminense Federal University. CONTACT Prof. Dr. Reinaldo A.C. Bianchi - rbianchi at fei.edu.br Esta mensagem, juntamente com qualquer outra informa??o anexada, ? confidencial e protegida por lei. Somente os seus destinat?rios est?o autorizados a us?-la. Se voc? n?o for o destinat?rio, por favor, informe o remetente e, em seguida, apague a mensagem, observando que n?o h? autoriza??o para usar, copiar, armazenar, encaminhar, imprimir ou tomar qualquer a??o baseada no seu conte?do. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mail at mkaiser.de Fri Mar 11 14:48:26 2022 From: mail at mkaiser.de (Marcus Kaiser) Date: Fri, 11 Mar 2022 19:48:26 +0000 Subject: Connectionists: PostDoc position studying connectome changes in dementia Message-ID: Dear all, An 8-month research associate position for developing computational models of disease progression in dementia patients is available within my lab. *About the project* The most ideal time to intervene with disease-modifying treatment is early on before significant neurodegenerative change and neuronal loss has occurred. However, another highly relevant consideration is improvements in subtype diagnosis i.e. determination of the type of neurodegenerative process giving rise to dementia. Differentiation is crucial as there are different management trajectories for each disease; for example, neuroleptic drugs which are given to AD can be fatal in the DLB group. Promising preliminary data, using simulation of disease progression, suggest that we may be able to make an early diagnosis even when subtle changes cannot be detected with the current machine learning approach. Going beyond machine learning subtype classification, our study aims to develop a simulation-based model of disease progression that can facilitate early treatment of the disease leading to improved outcomes for patients and reduced overall healthcare costs. *Available RA position* As part of this project, the lab of Prof. Marcus Kaiser ( http://www.dynamic-connectome.org/ ), with joint supervision from the lab of Prof. John-Paul Taylor (https://www.lewybodylab.org/ ), are seeking a talented and enthusiastic research assistant with a PhD awarded, or a PhD thesis about to be submitted, in computational biology or related subjects; prior experience in the neurosciences is desirable. The aim of this joint project, between Newcastle University and Korea University, is to developing more accurate dementia progression models that can inform diagnosis and treatment of patients using neuroimaging data. Good communication skills, very strong dynamics modelling skills, and a track record of previous peer-reviewed journal publications. You will have experience with neuroimaging and/or computer simulations. *Research Environment* Nottingham ?the home of MRI? offers an excellent environment for imaging ( https://www.nottingham.ac.uk/research/beacons-of-excellence/precision-imaging/ and https://www.nottingham.ac.uk/research/groups/spmic/index.aspx ), is pioneering the use of neurotechnology for brain disorders ( http://mindtech.org.uk/ ), hosts the Institute of Mental Health ( https://www.institutemh.org.uk ), and has a large group of faculty members including four full professors (Stephen Coombes, Mark van Rossum, Mark Humphries, Marcus Kaiser) in the area of computational/mathematical neuroscience. *How to Apply* Apply before 15 March 2022 at https://jobs.nottingham.ac.uk/Vacancy.aspx?id=37834&forced=2 For informal queries, please contact Dr Marcus Kaiser, Marcus.kaiser at nottingham.ac.uk Best, Marcus -- *Marcus Kaiser, Ph.D. FRSB* @ConnectomeLab *Professor of Neuroinformatics* *Precision Imaging Beacon, School of Medicine, University of Nottingham* Guanci Visiting Professor Rui Jin Hospital, Shanghai Jiao Tong University, China Book: Changing Connectomes https://mitpress.mit.edu/books/changing-connectomes Lab website: http://www.dynamic-connectome.org/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jean-marc.odobez at epfl.ch Fri Mar 11 10:12:52 2022 From: jean-marc.odobez at epfl.ch (Jean-Marc Odobez) Date: Fri, 11 Mar 2022 16:12:52 +0100 Subject: Connectionists: [jobs] Idiap/EPFL (Switzerland): PhD position in multimodal emotion and sentiment analysis. Message-ID: <8813A60A-FC72-4DAF-8693-66B2E424B83C@epfl.ch> Please forward to anyone interested. Thanks! ---------------------------------------------------- Title: PhD position in computer vision and machine learning for multimodal emotion and sentiment analysis at Idiap, Switzerland. Position description. The Idiap Perception and Activity Understanding group seeks one highly motivated PhD candidate to work on the development of a multimodal non-verbal cue extraction platform (gaze, head gestures, emotion, speaking status) and its exploitation for different applications, like HCI, HRI, multimodal sentiment analysis, or mental health monitoring. The research will be focused on some of the above topics and will investigate deep learning models and methods (domain adaptation, unsupervised or weakly supervised learning; attention-based neural networks and transformers) to improve cue extraction or user state inference. Experiments will be conducted on project data (e.g. datasets of behaviors and robot-children interactions) as well as standard datasets from the computer vision and multimodal communities (gaze, emotion; sentiment analysis or health monitoring). The work will be primarily done in the context of the ePartner project, a swiss and dutch project aiming at developing and evaluating personalized child health (care) solutions contributing to the early detection of health problems in primary school children and providing effective tailored (preventive) interventions using digital tools (tablets; avatar and robot buddies). The role of Idiap in this project is to develop robust non-verbal cue extraction tools along with some analysis of children's behavior. The recruited student will work with a research associate on the project and in collaboration with project partners (Eyeware SA, Delft University of Technology). Profile and application information can be accessed at: https://careers.werecruit.io/en-gb/idiap/offers/phd-position-in-computer-vision-and-machine-learning-for-multimodal-emotion-and-sentiment-analysis-at-idiap-switzerland-3911af -- Jean-Marc Odobez, IDIAP & EPFL Senior Researcher (EPFL MER) Perception and Activity Understanding group Tel: +41 (0)27 721 77 26 Web: http://people.epfl.ch/jean-marc.odobez http://www.idiap.ch/~odobez -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Sun Mar 13 09:06:36 2022 From: amir.kalfat at gmail.com (Amir Aly) Date: Sun, 13 Mar 2022 13:06:36 +0000 Subject: Connectionists: =?utf-8?q?=5BMeetings=5D_CRNS_Talk_Series_=284=29?= =?utf-8?q?_-_Live_Talk_by_Prof=2E_Mehul_Bhatt_-_=C3=96rebro_Univer?= =?utf-8?q?sity_-_Sweden?= Message-ID: Dear All * Apologies for cross-posting* The *Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Prof. **Mehul Bhatt* from *?rebro University* - Sweden on Wednesday, March 16th from *11:00 am* to *12:30* *pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/95748572834?pwd=M05YTXhTVnBOK0R6WTlPaDJnTm5GUT09&from=addon >> *Title of the talk*: Artificial Visual Intelligence: Perceptual Common Sense for Human-Centred Cognitive Technologies *Abstract*: This talk addresses computational cognitive vision and perception at the interface of (spatial) language, (spatial) logic, (spatial) cognition, and arti?cial intelligence. Summarizing recent works, I present general methods for the semantic interpretation of dynamic visuospatial imagery with an emphasis on the ability to perform abstraction, reasoning, and learning with cognitively rooted structured characterizations of commonsense knowledge pertaining to space and motion. I will particularly highlight: - explainable models of computational visuospatial commonsense at the interface of symbolic and neural techniques; - deep semantics, entailing systematically formalised declarative (neurosymbolic) reasoning and learning with aspects pertaining to space, space-time, motion, actions & events, spatio-linguistic conceptual knowledge; and - general foundational commonsense abstractions of space, time, and motion needed for representation mediated (grounded) reasoning and learning with dynamic visuospatial stimuli. The presented works ?demonstrated in the backdrop of applications in autonomous driving, cognitive robotics, visuoauditory media, and cognitive psychology? are intended to serve as a systematic model and general methodology integrating diverse, multi-faceted AI methods pertaining knowledge representation and reasoning, computer vision, and machine learning towards realising practical, human-centred, computational visual intelligence. I will conclude by highlighting a bottom-up interdisciplinary approach ?at the con?uence of cognition, AI, Interaction, and design science? necessary to better appreciate the complexity and spectrum of varied human-centred challenges for the design and (usable) implementation of (explainable) arti?cial visual intelligence solutions in diverse human-system interaction contexts. *Keywords*. Cognitive Vision; Knowledge Representation and Reasoning; Commonsense Reasoning; Deep Semantics; Declarative Spatial Reasoning; Com- puter Vision; Computational Models of Narrative; Human-Centred Computing and Design; Spatial Cognition and AI; Visual Perception; Multimodal Interaction; Autonomous Driving; HRI; Visuo-Auditory Media; Visual Art >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From llong at simonsfoundation.org Fri Mar 11 18:18:10 2022 From: llong at simonsfoundation.org (Laura Long) Date: Fri, 11 Mar 2022 18:18:10 -0500 Subject: Connectionists: SCGB Virtual Postdoc/Student Meeting: Monday, March 14 by James Roach Message-ID: The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a Global virtual series to connect systems and computational neuroscientists across the world. We would love to see you at our next Global meeting! Please see event details and the Zoom link below. SCGB Global Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-277170363017 Monday, March 14th, 1pm Eastern Time https://simonsfoundation.zoom.us/j/97652465539?pwd=YkdYaTBGOGU0c1NyUzV1d1JrNDlXZz09 Passcode: 188122 *James Roach*Postdoctoral Researcher, Churchland Laboratory University of California, Los Angeles *Two roles for choice selective inhibition in decision-making circuits* During perceptual decision-making, the firing rates of cortical neurons reflect upcoming choices. Recent work showed that excitatory and inhibitory neurons are equally selective for choice. However, the functional consequences of inhibitory choice selectivity in decision-making circuits are unknown. We developed a circuit model of decision-making which accounts for the specificity of inputs to and outputs from inhibitory neurons. We found that selective inhibition expands the space of circuits supporting decision-making, allowing for weaker or stronger recurrent excitation when connected in a competitive or feedback motif. The specificity of inhibitory outputs sets the trade-off between speed and accuracy of decisions by altering the attractor dynamics in the circuit. Recurrent neural networks trained to make decisions display the same dependence on inhibitory specificity and the strength of recurrent excitation. Our results reveal two concurrent roles for selective inhibition in decision-making circuits: stabilizing strongly connected excitatory populations and maximizing competition between oppositely selective populations. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-277170363017 Please contact Laura Long at llong at simonsfoundation.org with any questions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From blink.yu at mdpi.com Sun Mar 13 23:57:06 2022 From: blink.yu at mdpi.com (Mr. Blink Yu) Date: Mon, 14 Mar 2022 11:57:06 +0800 Subject: Connectionists: [Computers] (ISSN 2073-431X) Special Issue "Edge Computing for the IoT"--Call for Paper Message-ID: [Apologies if you receive multiple copies of this message] ==================================== Special Issue "Edge Computing for the IoT" Deadline for manuscript submissions: 15 June 2022. Guest Editor: Prof. Dr. Paolo Bellavista Department of Computer Science and Engineering (DISI), University of Bologna, 40136 Bologna, Italy Dr. Kiran Kumar Pattanaik ABV-Indian Institute of Information Technology and Management, Gwalior, Madhya Pradesh 474015, India Dr. Sourabh Bharti NIMBUS Centre, Munster Technological University, T12 P928 Cork, Ireland Website: https://www.mdpi.com/journal/computers/special_issues/Edge_IoT =========================================== Dear Colleagues, The Edge paradigm (exploitation of decentralized and virtualized processing, storage, and networking resources at network edges, such as in fog computing, 5G/6G, Edge-cloud computing, etc.) is revitalized by a number of research areas, including autonomous vehicles, personal assistants, smart cities, smart industry, and increased resiliency. These distributed Edge computing systems with varying degrees of reasoning abilities are continuously evolving as sophisticated cyber-physical and/or sociotechnical systems. Rapid progress has been witnessed in the recent past in the modeling of these systems via machine learning, semantic computing, deductive systems, mathematical and statistical heuristic-oriented approaches, etc. This Special Issue aims at hosting articles from computing sciences and multidisciplinary application-oriented research to provide a timely and comprehensive overview of the current state-of-the-art in terms of innovations and technological advances towards exploiting various aspects of the Edge paradigm applied to different application domains of IoT networks. The topics of interest include but are not limited to: Edge deployment architectures and models; Edge programming paradigms for the IoT; Edge resource management and orchestration; Evaluation of network technology interfaces at Edge nodes; Protocols and architectures for information-centric wireless Edge networking; Computation offloading vis-?-vis enriching on-device hardware/software capabilities at handheld edges; Edge handoff mechanisms, strategies, and management; Baseline performance evaluation for Edge infrastructure and applications; Industry adoption use cases of Edge computing paradigm; Edge computing for scalable smart city applications; Edge computing for vehicular clouds; Edge computing for personal assistance and mobile services; Machine learning for Edge computing and Edge computing for distributed machine learning; Sustainable digitalization of the manufacturing industry for futuristic technologies (Industry 5.0, 6G); Security and privacy aspects of federated Edge learning systems; Trust management for Edge-enabled IoT ecosystems. Prof. Dr. Paolo Bellavista Dr. Kiran Kumar Pattanaik Dr. Sourabh Bharti -- Mr. Blink Yu Managing Editor E-Mail: blink.yu at mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone. From hrvoje.stojic at protonmail.com Sat Mar 12 07:58:38 2022 From: hrvoje.stojic at protonmail.com (Hrvoje Stojic) Date: Sat, 12 Mar 2022 12:58:38 +0000 Subject: Connectionists: [jobs] Senior machine learning researcher at Secondmind Labs, Bayesian optimization team Message-ID: <_8UK-MleaEJIZe20WYTZLbiXEqY3Ixo8-ltFHbhLiAvLYLdUlSS0LKbttkLV7I_3kpQ5SirTbqiTGE14G3NbKZ1s7XOcQ85DSbCOoqh3mME=@protonmail.com> This is an exciting opportunity to join a team at the forefront of artificial intelligence and machine learning. Secondmind Labs is a team of twelve researchers and engineers that provides internal expertise for our product, and explores innovative ideas that can improve the state of the art in probabilistic models and active learning. In the past four years our team has published over 75 papers and filed 10 patents. Our main areas of expertise are probabilistic modelling and Bayesian optimization. You will be working in highly collaborative research teams developing algorithms that are theoretically rigorous, yet scalable to domains of real-world complexity, with the aim of publishing papers at leading machine learning conferences, and integrating your research directly into our products. This means lots of variety, and involves working on both client projects and internal product development. What will you be responsible for? As a member of Secondmind?s Bayesian optimization research team, you will be expected to develop your own research program, with a view to developing new tools and techniques. In addition to conducting novel research, you will also be expected to contribute to customer projects, assisting in the application of cutting edge machine learning research to real world problems. Finally, this position is also an opportunity to take an active role in the development of our open source libraries GPflow, GPflux and Trieste. What skills, experience, and qualifications do you need to succeed in this role? You will hold a PhD in a technical field, or have an equivalent level of experience, having published work in leading machine learning, statistics or optimization conferences and/or journals. A strong background in Bayesian optimisation and probabilistic modelling is essential, along with experience in numerical programing (Python/NumPy/Tensorflow/PyTorch). Experience in any of the fields of variational inference, active learning or reinforcement learning are desirable but not essential. You will be keen to work as part of a team, to review documents and code, and to provide constructive feedback. You have a passion to continuously develop your own machine learning and research skills, and to help others to improve theirs. About Secondmind.ai Secondmind exists to help automotive innovators design better cars in less time, and achieve greater sustainability through machine learning. The company?s Active Learning Platform, which is underpinned by years of award-winning applied machine learning research and development, enables car makers and the automotive development ecosystem at large overcome increasing complexity in model-based development and accelerate the transition to Connected, Automated, Shared, and Electrified vehicles. Secondmind was founded in 2016 and is backed by leading venture funds including Amadeus Capital, Atlantic Bridge, and Cambridge Innovation Capital, among others. What we?ll offer you Here at Secondmind we believe happy employees make a successful business! Along with a creative and innovative work environment, we offer our employees learning & development opportunities through mentoring, sharing experiences and paper publications. To support in putting our employees first, we have worked to create an energetic and fun working environment, including: - Games Nights* - Sports groups (e.g. running, basketball, climbing) - Employee lead Yoga and Zumba classes* - Team Away Days* *Currently remote due to COVID restrictions. Various contractual benefits include: - Competitive salary - Contributory Salary Sacrifice Pension Scheme - 25 days annual leave, plus statutory bank holidays - Stock Options scheme (EMI or Unapproved, depending on context) We also offer our employees various non-contractual benefits to take advantage of: - Private Medical Insure and Dental Insurance - Group Life Assurance - Gym Membership - Botanical Garden Pass - Bike to Work Scheme - Employee Assistance Programme - Relocation assistance (where applicable) Job Location We have an office in Cambridge, UK. Secondmind currently follows the latest UK Government guidelines on office-based work, however, we will continue to be flexible in offering hybrid and fully remote working from within the UK. For further information about the role, please contact Hrvoje Stojic (hrvoje.stojic at secondmind.ai). http://hstojic.re/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From rskhorshidi at gmail.com Mon Mar 14 04:58:01 2022 From: rskhorshidi at gmail.com (Reza Khorshidi) Date: Mon, 14 Mar 2022 08:58:01 +0000 Subject: Connectionists: Speakers announcement -- Oxford ML Summer School (OxML 2022) Message-ID: <0A8B7E58-49A0-4D2A-BE33-E728C47E4501@gmail.com> Dates: August 7-14, 2022 (St Catherine's College , Oxford + Virtual) For more info, please visit the school?s website: www.oxfordml.school Target audience Everyone is welcome to apply to OxML 2022 regardless of their origin, nationality, and country of residence. Our target audience are (1) PhD students with a good technical background whose research topics are related to ML, plus (2) researchers and engineers in both academia and industry with similar/advanced levels of technical knowledge. All applicants are subject to a selection process; we aim to select strongly-motivated participants, who are interested in broadening their knowledge of the advanced topics in the field of ML/DL and their applications. Application You can find the link to the school's application form here : https://forms.gle/EqvC3qxKmoGKJgGs5 . Application deadline is 15 April, 2022. Given the overwhelming number of applications we receive, the application portal may close earlier than the deadline if the number of applications exceeds our capacity to review. The Speakers Below is the list of our confirmed speakers to date ? we will announce additional (i.e., ~15) speakers, as well as the school's workshops, in the coming weeks (follow the updates via the school?s website , or Twitter and LinkedIn accounts). Note that, participants of both xHealth and xFinance modules will have access to / can attend the ML Fundamentals module. ML x Healthcare Michael Bronstein (University of Oxford) ? Geometric deep learning Mireia Crispin (University of Cambridge) ? ML, multi-omics, and oncology Kazem Rahimi (University of Oxford) ? ML for population health, and chronic diseases Ali Eslami (DeepMind) ? Advanced topics in representation learning Ishan Misra (Facebook AI Research) ? ML, computer vision, and learning with reduced supervision Javier Gonzalez (Microsoft research) ? Statistical / probabilistic ML, causal inference Reza Khorshidi (University of Oxford) ? ML for Electronic Health Records Sonali Parbhoo (Imperial College London, Harvard) ? Reasoning in uncertainty, and ML Interpretability Jorge Cardoso (King?s College London) ? ML for medical imaging Vincent Moens (Meta) ? ML Ops, PyTorch, DL software architectures ML x Finance Rama Cont (University of Oxford) ? Quantitative finance, ML for building market simulators Stefan Zohren (University of Oxford) ? Representation learning & (financial) time series Yulan He (University of Warwick) ? Sentiment/opinion mining NLP Sebastian Ruder (DeepMind) ? Multi-lingual NLP James Hensman (Amazon) ? Probabilistic ML, Gaussian processes, (financial) time series Kalesha Bullard (DeepMind) ? Cooperative AI Mihai Cucuringu (University of Oxford) ? Networks, statistical ML, and quant. finance Ben Wood (JP Morgan chase) ? ML and derivatives trading, deep hedging Thomas Spooner (Sutter Hill Ventures) ? Reinforcement learning in finance ML Fundamentals Haitham Ammar (UCL, and Huawei) ? Fundamentals of Stat./Bayesian/Probabilistic ML Hao Ni (Turing Institute, and UCL) ? ML Maths (from linear regression to DL) Yali Du (King's College London) ? Optimisation methods in ML Dingwen Tao (Washington State University) ? ML Systems, computational graph, Tensorflow, & PyTorch Yitao Liang (UCLA, and Peking University) ? Neuro-symbolic AI, & tractable prob. models About OxML 2022 OxML is organised by AI for Global Goals , in partnership with CIFAR and The University of Oxford?s Deep Medicine Program. OxML schools have a special focus on ML and SDG s. That is, in addition to theoretical ML lectures, there will be lectures on the application of ML in various SDGs areas. OxML 2022 will have two separate 4-day schools: (1) ML x Health, and (2) ML x Finance. Furthermore, based on the success of last year's program, and in order to provide all participants with the necessary background -- particularly for those who are new to the theory and fundamentals of modern ML -- the program will also have an online ML Fundamentals module (June 27-29), which will be open to both schools' accepted participants. The schools will take place in St Catherine's College , Oxford (UK). There will also be a virtual option for those who cannot (or prefer not to) travel to Oxford, UK. During each school, in addition to applied and theoretical lectures (taking place in the main hall, with ~250 seats), there will be multiple workshops and sessions on Advanced ML topics, ML Ops, ML Products, and ML Career (taking place in the 4x smaller halls, that have ~50-100 seats). We aim to host ~200 participants in person (plus 100-200 virtually) in each school. Note that, while our current plan is to have a hybrid format, in the worst case COVID scenarios, we have (and are ready to execute) a plan B to go fully virtual. For any queries, you can contact us using this email address: contact at oxfordml.school Best, ? Reza Khorshidi, D.Phil. (Oxon) Deep Medicine Program, The University of Oxford -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Mar 14 07:23:12 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 14 Mar 2022 13:23:12 +0200 Subject: Connectionists: Invitation to offer International AI Doctoral Academy (AIDA) courses. AI Free e-lecture and Q & A session on 'How to get involved and get the most out of the AIDA web system', Tuesday 15/3/2022, 17:00-18:00 CET References: <000b01d83456$f2c4b880$d84e2980$@csd.auth.gr> Message-ID: <00e201d83795$e49c6860$add53920$@csd.auth.gr> Dear AI Professors and senior AI scientists, this message presents you a new option to offer AI short courses and summer schools through the International AI Doctoral Academy (AIDA) https://www.i-aida.org/ As many of you organize such courses anyway, this option allows you to catapult the registration number and impact of your courses, because: a. AIDA offers a seal of excellence to your courses b. AIDA-AUTH use targeted dissemination channels that can catapult the registration number and impact of your course (The attached figure shows tha (t registrations increased by 8x fold after a single course announcement in these channels). AIDA has 73 excellent members (Universities, Research Centers and Companies with top AI record), 100 AIDA Lecturers (offering courses and/or supervising AIDA students) and 200 AIDA Students (PhD candidates or Postdoc researchers from AIDA members). So far, in its first year (2021), it had a robust educational offer, consisting of many AI short courses, summer schools and semester courses/lecture series, as well as top AI Excellence Lectures on bi-weekly basis. Any qualified AI Professors or senior AI scientists worldwide is welcomed to offer an AIDA short or summer school or open up her/his semester courses to AIDA students, no matter if her/his Institution is an AIDA member. You can set up your own terms on how to offer such courses (including registration fee policy), in cooperation with the AIDA Educational Planning committee, whose primary aim is to ensure top AIDA course quality. You can have both AIDA student and external student registrations in these courses, while offering favorable terms to AIDA students. No AIDA fees are involved in such courses. Alternatively, you can always ask AIDA technical sponsorship of your courses (with neither dissemination aid nor financial contribution). Instructions on how to apply to offer such a course and application template can be found in: https://www.i-aida.org/phd-studies/short-courses/ Please cc such an application to Stefano Berretti stefano.berretti at unifi.it; Pietro Pala pietro.pala at unifi.it; and Ioannis Pitas pitas at csd.auth.gr You are invited to attend the 1-hour free e-lecture and Q & A session on 'How to get involved and get the most out of the AIDA web system', on Tuesday 15/3/2022, 17:00-18:00 CET. Please book this time slot! Telco Zoom link: https://authgr.zoom.us/j/94866425617 Passcode: 867064 You will learn how-to: 1. become AIDA Lecturer and start offering AIDA courses or contributing to AIDA Educational Resource Repository 2. get involved in AIDA activities 3. ask your Institution (University, Research Center or Company with AI record) to become AIDA member. Anybody coming from AIDA members or external is welcomed to attend and spread the word. AIDA aims high to become an international reference point on AI excellence. Related course offers for the Spring semester 2022 can be found in the AIDA www site: https://www.i-aida.org/phd-studies/short-courses/ https://www.i-aida.org/phd-studies/lecture-series-2/ Best regards Prof. Ioannis Pitas AIDA Chair Registration increase by 8x fold after a single course announcement in the AIDA-AUTH dissemination channels -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 25228 bytes Desc: not available URL: From marius.bilasco at univ-lille.fr Mon Mar 14 09:08:51 2022 From: marius.bilasco at univ-lille.fr (Ioan Marius BILASCO) Date: Mon, 14 Mar 2022 14:08:51 +0100 Subject: Connectionists: [jobs] PhD opportunity in Lille, France - Spiking Neural Networks for Video Analysis Message-ID: The FOX team from the CRIStAL laboratory (UMR CNRS), Lille France is looking to recruit a PhD student *starting as soon as possible *on the following subject : Spiking Neural Networks for Video Analysis The FOX research group is part of the CRIStAL laboratory (University of Lille, CNRS), located in Lille, France. We focus on video analysis for human behavior understanding. Specifically, we develop spatio-temporal models of motions for tasks such as abnormal event detection, emotion recognition, and face alignment. We are also involved in IRCICA (CNRS), a research institute promoting multidisciplanary research. At IRCICA, we collaborate with computer scientists and experts in electronics engineering to create new models of neural networks that can be implemented on low-power hardware architectures. Recently, we designed state-of-the-art models for image recognition with single and multi-layer unsupervised spiking neural networks. We were among the first to succesfully apply unsupervised SNNs on modern datasets of computer vision. We also developed our own SNN simulator to support experiments with SNN on computer vision problems. Our work is published in major journals (Pattern Recognition, IEEE Trans. on Affective Computing) and conferences (WACV, IJCNN) in the field. *Abstract*: Spiking Neural Network have recently been evaluated on classical image recognition tasks. This work has highlighted their promising performances in this domain and have identified ways to improve them to be competitive with comparable deep learning approaches. In particular, it demonstrated the ability of SNN architectures to learn relevant patterns for static pattern recognition in an unsupervised manner. However, dealing with static images is not enough, and the computer vision community is increasingly interested in video analysis, for two reasons. First, video data is more and more common and corresponds to a wide range of applications (video surveillance, audio-visual productions, autonomous vehicles...). Second, this data is richer than isolated static images, and thus offers the possibility to develop more effective systems, e.g. using motion information. Thus, it is recognized in the community that modeling motion in videos is more relevant than studying visual appearance alone for tasks such as action or emotion recognition. The next step for SNNs is therefore to study their ability to model motion rather than, or in addition to, image appearance. The goal of the Ph.D. candidate will be to explore the use of SNNs for space-time modeling in videos. This work will be targeted towards applications in human behavior understanding and especially action recognition. More specifically, the Ph.D. candidate is expected to: *? identify what issues may prevent space-time modeling with SNNs and how they can be circumvented; *? propose new supervised and unsupervised SNN models for motion modeling, which are compatible with hardware implementations on ultra-low power devices; * evaluate the proposed models on standard datasets for video analysis. Detailed subject: https://bit.ly/stssnnfox Candidates must hold a Master degree (or an equivalent degree) in Computer Science, Statistics, Applied Mathematics or a related field. Experience in one or more of the following is a plus: ???????? image processing, computer vision; ???????? machine learning; ???????? bio-inspired computing; ???????? research methodology (literature review, experimentation?). Candidates should have the following skills: ???????? good proficiency in English, both spoken and written; ???????? scientific writing; ???????? programming (experience in C++ is a plus, but not mandatory). This PHD thesis will be funded in the framework of the ANVI-Luxant industrial chair. The general objective of the Chair is to make a scientific and technological progress in the mastery of emerging information processing architectures such as neuromorphic architectures as an embedded artificial intelligence technique. The use-case studies will come from video protection in the context of retail and transportation. The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000?, including benefits (health insurance, retirement fund, and paid vacations). The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. For application, please send the following information in a single PDF file to Dr. Marius Bilasco?? (marius.bilasco at univ-lille.fr) with subject [PhD_Luxant-ANVI]: * A cover letter. * A curriculum vitae, including a list of publications, if any. * Transcripts of grades of Master's degree. * The contact information of two references (and any letters if available). We look forward to receiving your application as soon as possible, but no later than 4.4.2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksenia.kharitonova at gmail.com Tue Mar 15 04:14:19 2022 From: ksenia.kharitonova at gmail.com (Ksenia Kharitonova) Date: Tue, 15 Mar 2022 09:14:19 +0100 Subject: Connectionists: First call for participation: MT4All Unsupervised MT Shared Task at SIGUL 2022 Message-ID: MT4All Unsupervised MT Shared Task at SIGUL 2022 (24-25 June, Marseille) FIRST CALL FOR PARTICIPATION We invite you to participate in the first edition of the MT4All Unsupervised Machine Translation Shared Task, hosted by the ELRA/ISCA Special Interest Group on Under-Resourced Languages Workshop (SIGUL 2022). Papers on the task will be published as part of the Proceedings. Invitation to Participate ? Expression of Interest . TASK DESCRIPTION For this Shared task we will leverage the resources generated by the recently finished CEF project MT4All , with the aim of exploring unsupervised MT techniques based only on monolingual corpora. In the course of the project, the following novel datasets were created: 18 monolingual corpora for specific languages and domains, 12 bilingual dictionaries and translation models, and 10 annotated datasets for evaluation. Most of them will be used in the present Shared task. The task is divided into three separate subtasks, each one covering a specific domain and set of languages. - Subtask 1: Unsupervised translation from English to Ukrainian, Georgian and Kazakh in the Legal domain. - Subtask 2: Unsupervised translation from English to Finnish, Latvian, and Norwegian Bokm?l in the Financial domain. - Subtask 3: Unsupervised translation from English to German, Norwegian Bokm?l, and Spanish in the Customer support domain. In this Shared task, we are interested in how the in-domain monolingual data that we will provide can be leveraged by creating a purely unsupervised machine translation model, either by - training an unsupervised model from scratch, or - adding value to an existing pre-trained model, on the condition that - it has been trained on monolingual datasets - it has not been fine-tuned with any parallel data - it is publicly accessible from the HuggingFace repository Although we exclude the possibility of fine-tuning the models with any existing parallel data, we allow making use of the bilingual resources created in the framework of MT4All using purely unsupervised technologies. As additional monolingual data, we allow the use of any monolingual Oscar dataset, only. IMPORTANT DATES - Training data release 10.03.2022 - Test sets release 25.04.2022 - Results deadline 02.05.2022 - Paper submission deadline 16.05.2022 - Acceptance notice 30.05.2022 - Camera ready 13.06.2022 - Workshop starts 24.06.2022 Please visit the website for more details: https://sigul-2022.ilc.cnr.it/mt4all-shared-task/ If you have any comments and/or questions, do not hesitate to contact ksenia.kharitonova at bsc.es. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jdrugo at gmail.com Mon Mar 14 16:06:04 2022 From: jdrugo at gmail.com (Jan Drugowitsch) Date: Mon, 14 Mar 2022 16:06:04 -0400 Subject: Connectionists: Postdoc at Harvard (Drugowitsch Lab) in computational neuroscience Message-ID: Location: Harvard Medical School, Boston, MA Start: summer 2022 or after We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the group of Jan Drugowitsch - Department of Neurobiology at Harvard Medical School (https://drugowitschlab.hms.harvard.edu/). The group works on questions of decision-making and navigation under uncertainty, ranging from the level of neural populations to that of behavior. We have strong ties to, and frequently collaborate with, experimental labs. The postdoctoral fellow will develop state-of-the-art theories of neural computations using machine learning, neural networks, dynamical systems analysis, and reinforcement learning, and will analyze the neural data collected by experimental collaborators. The position starts in or after June 2022, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary depends on experience and is at levels above the NIH scale. Expected background: Candidates should have a strong analytical background, such as in computational neuroscience, physics, mathematics, engineering, or related, and feature an interest in the role of computation in neural populations and in theoretical neuroscience in general. Experience or familiarity with related machine-learning fields is also desirable. Application: Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to jan_drugowitsch at hms.harvard.edu. If they are considered suitable candidates, they will be requested to additionally organize two letters of reference. The position is open until filled. Dr. Drugowitsch will be available at the Computational and Systems Neuroscience Conference (Cosyne), to take place in Portugal, March 17-22, for questions and further information about the opening. Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Jan Drugowitsch Assistant Professor in Neurobiology Harvard Medical School https://drugowitschlab.hms.harvard.edu/ From cgf at isep.ipp.pt Mon Mar 14 17:24:17 2022 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 14 Mar 2022 21:24:17 +0000 Subject: Connectionists: CFP: HLPP 2022: International Symposium on International Symposium on High-Level Parallel Programming and Applications Message-ID: <69c0d838-664d-ac31-e166-60fbae62dbfa@isep.ipp.pt> --------------- CALL FOR PAPERS --------------- HLPP 2022 The 15th International Symposium on High-level Parallel Programming and Applications Porto, Portugal, 7-8 July, 2022 https://hlpp2022.dcc.fc.up.pt/ ---------------------- Aims and scope of HLPP ---------------------- As processor and system manufacturers increase the amount of both inter- and intra-chip parallelism it becomes crucial to provide the software industry with high-level, clean and efficient tools for parallel programming. Parallel and distributed programming methodologies are currently dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms. Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism. Since 2001 the HLPP series of workshops/symposia has been a forum for researchers developing state-of-the-art concepts, tools and applications for high-level parallel programming. The general emphasis is on software quality, programming productivity and high-level performance models. The 15th Symposium on High-Level Parallel Programming and Applications will be held in the Porto, Portugal. ------ Topics ------ HLPP 2022 invites papers on all topics in high-level parallel programming, its tools and applications including, but not limited to, the following aspects: * High-level programming, performance models (BSP, CGM, LogP, MPM, etc.) and tools * Declarative parallel programming methodologies * Algorithmic skeletons and constructive methods * Declarative parallel programming languages and libraries: semantics and implementation * Verification of declarative parallel and distributed programs * Software synthesis, automatic code generation for parallel programming * Model-driven software engineering with parallel programs * High-level programming models for heterogeneous/hierarchical platforms * High-level parallel methods for large structured and semi-structured datasets * Applications of parallel systems using high??-level languages and tools * Formal models of timing and real-time verification for parallel systems ------------------ Program Chairs ------------------ In?s Dutra, University of Porto, Portugal Jorge Barbosa, University of Porto, Portugal Miguel Areias, University of Porto, Portugal ------------------ Publicity Chair ------------------ Carlos Ferreira, Polytechnic Institute of Porto ----------------- Program Committee ----------------- TBA ---------------- Important dates ---------------- Submission deadline: April 1, 2022(AoE) Author notification: June 3, 2022 Camera-ready for draft proceedings: July 1, 2022 Early registration deadline: June 8, 2022 Symposium: July 7-8 (Thursday/Friday) IJPP (HLPP special issue) submission deadline: October 28, 2022 IJPP (HLPP special issue) camera-ready for journal publication: December 2, 2022 ---------------- Paper submission ---------------- Papers submitted to HLPP 2022 must describe original research results and must not have been published or simultaneously submitted anywhere else. Manuscripts must be prepared with the Springer IJSS latex macro package using the single column option (\documentclass[smallextended]{svjour3}) and submitted via the EasyChair Conference Management System as one pdf file. The strict page limit for initial submission and camera-ready version is 20 pages in the aforementioned format. Each paper will receive a minimum of three reviews by members of the international technical program committee. Papers will be selected based on their originality, relevance, technical clarity and quality of presentation. After the symposium the authors of the accepted papers will have ample time to revise their papers and to incorporate the potential comments and remarks of their colleagues. We expect the HLPP 2022 special issue of the International Journal of Parallel Programming (IJPP) to appear online-first by the end of the year and the printed edition in mid-2023. ----------- Proceedings ----------- Accepted papers will be distributed as informal draft proceedings during the symposium and will be published by Springer in a special issue of the International Journal of Parallel Programming (IJPP). ----- Venue ----- HLPP 2022 will be hosted by the Dept. of Computer Science (GPS coords 41.152545, -8.640758) of the Faculty of Sciences of the University of Porto (FCUP). Participants may reserve rooms in several of the nearby Hotels. As the symposium will be held in the tourist season, the organizers recommend a timely reservation of rooms. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From ASIM.ROY at asu.edu Tue Mar 15 03:28:56 2022 From: ASIM.ROY at asu.edu (Asim Roy) Date: Tue, 15 Mar 2022 07:28:56 +0000 Subject: Connectionists: A New Society for Explainability, Safety and Trust in AI + a possible inaugural hybrid conference in San Francisco in early August Message-ID: Dear Colleagues, There?s reasonable interest in forming a new Society for Explainability, Safety and Trust in AI. The main purpose of the society would be to help consolidate work in these areas and provide it greater focus and thrust. Right now, work in these areas is presented in different journals and conferences and is kind of fractionated. Consolidation of research in these areas in terms of conferences, workshops and other activities should also facilitate broader interactions with the industry. And we can also start a newsletter to feature research and related news. We are still thinking of an inaugural hybrid conference in San Francisco the first week of August. Let me know if you would be interested in (1) attending and presenting a paper, (2) being on the program committee, and (3) being on the organizing committee. Once we know that there is sufficient interest to move forward, we will formally incorporate the Society and start to organize the first conference. You can email me if you have interest in one or more of the conference activities listed above. Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jenny.benois-pineau at u-bordeaux.fr Tue Mar 15 05:14:32 2022 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Tue, 15 Mar 2022 10:14:32 +0100 Subject: Connectionists: [CFP] 2nd Workshop on Explainable and Ethical AI (XAIE) at ICPR 2022 Message-ID: <14D0721F-B486-4C0A-A885-576F17EFC64B@u-bordeaux.fr> ----------------We apologize if you receive this message several times--------- Call for papers: *******2-nd WS on Explainable and Ethical AI ? ICPR? 2022, ******** ***** to be held on August 21, 2022 in Montreal ******************************* We are witnessing the emergence of an ?AI economy and society? where AI technologies are increasingly impacting many aspects of business as well as everyday life. We read with great interest about recent advances in AI medical diagnostic systems, self-driving cars, ability of AI technology to automate many aspects of business decisions like loan approvals, hiring, policing etc. However, AI systems may produce errors, can exhibit overt or subtle bias, may be sensitive to noise in the data, and often lack technical and judicial transparency and explainability. These shortcomings are raising many ethical and policy concerns not only in technical and academic communities, but also among policymakers and general public, and will inevitably impede wider adoption of AI in society. The problems related to Ethical AI are complex and broad and encompass not only technical issues but also legal, political and ethical ones. One of the key components of Ethical AI systems is explainability or transparency, but other issues like detecting bias, ability to control the outcomes, ability to objectively audit AI systems for ethics are also critical for successful applications and adoption of AI in society. Consequently, explainable and Ethical AI are very current and popular topics in various communities. Our proposed workshop aims to address technical aspects of explainable and ethical AI in general, and include related applications and case studies with the aim to address this very important problems from a broad technical perspective. The topics comprise but are not limited to: ? Naturally explainable AI methods ? Post-Hoc Explanation methods of Deep Neural Networks and Transformers ? Technical issues in AI ethics including automated audits, detection of bias, ability to control AI systems to prevent harm and others ? Methods to improve AI explainability in general, including algorithms and evaluation methods ? User interface and visualization for achieving more explainable and ethical AI ? Real world applications and case studies WorkShop Web Site: https://xaie-icpr.labri.fr Important Dates: April 16, 2022: Submission deadline May 24, 2022: Reviews due May 31, 2022: Final decision June 6, 2022: Camera ready and early bid registration deadline August 21, 2022: Workshop Paper Submission: The Proceedings of the EDL-AI 2020 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines . Two types of contribution will be considered: Full paper (12-15 pages) Short papers (6-8 pages) Paper Templates: are available on the website: https://xaie-icpr.labri.fr Program Committee: Alexandre Benoit, France, University Savoie Mont Blanc / LISTIC Jenny Benois-Pineau, France, Univ. Bordeaux / LaBRI Romain Bourqui, France, Univ. Bordeaux / LaBRI Andr? CPLF de Carvalho, Brazil, University of Sao Paulo / ICMC Christophe Garcia, France, LIRIS Mark Keane, Ireland, UCD Dublin / Insight SFI Centre for Data Analytics Harold Mouchere, France, Universit? de Nantes / LS2N Romain Giot, France, Univ. Bordeaux / LaBRI Th?o Jaunet, France, LIRIS Stefanos Kollias, Greece, National Technical University of Athens / Image, Video and Multimedia Systems Lab Noel O?Connor, Ireland, DCU Dragutin Petkovic, USA, SFSU Nicolas Thome, France, CNAM/Cedric Carlos Toxtli, USA, Northeastern University Jenny Benois-Pineau, Romain Giot, Romain Bourqui and Dragutin Petkovic Workshop Organizers Jenny Benois-Pineau, Professeure en Informatique, Charg?e de mission aux relations Internationales Coll?ge Sciences et Technologies, Universit? de Bordeaux 351, crs de la Lib?ration 33405 Talence France tel.: +33 (0) 5 40 00 84 24 Jenny Benois-Pineau, PhD, HDR, Professor of Computer Science, Chair of International relations School of Sciences and Technologies University of Bordeaux 351, crs de la Lib?ration 33405 Talence tel.: +33 (0) 5 40 00 84 24 -------------- next part -------------- An HTML attachment was scrubbed... URL: From rschubotz at uni-muenster.de Mon Mar 14 16:57:32 2022 From: rschubotz at uni-muenster.de (Schubotz, Ricarda) Date: Mon, 14 Mar 2022 20:57:32 +0000 Subject: Connectionists: postdoc job opening Message-ID: Dear colleagues, there is a job opening in my lab for a postdoc (100%) for three years, working on predictive processes in brain and behavior. Ad attached to this email. Thank you very much and best regards, Ricarda Schubotz _____________________________ Prof. Dr. Ricarda Schubotz Biological Psychology Institute for Psychology University of Muenster Fliednerstr. 21 48149 M?nster Germany Phone ++49 251 8334-100 (direct) Phone ++49 251 8334-110 (secretary) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: postdoc ad schubotz 2022 03.pdf Type: application/pdf Size: 24620 bytes Desc: postdoc ad schubotz 2022 03.pdf URL: From adeel.razi at gmail.com Tue Mar 15 09:00:00 2022 From: adeel.razi at gmail.com (Adeel Razi) Date: Wed, 16 Mar 2022 00:00:00 +1100 Subject: Connectionists: CIFAR/Jacobs Workshop on "Causal Inference from Longitudinal Data" Message-ID: Dear all, We are pleased to announce our online workshop on the topic of longitudinal/time-series data and causal inference. In this interdisciplinary workshop, experts in various fields (e.g., neuroscience, political science, psychology, epidemiology, philosophy) present and interactively discuss methods and ideas on longitudinal data analysis and causal inference.The workshop is targeted for applied researchers in any fields working on any type of longitudinal or time-series data with the motivation to learn the topic from an interdisciplinary perspective. The workshop is funded by CIFAR and Jacobs Foundation . Detailed information and registration can be found here. Note that (free) registration is necessary to participate in the workshop: https://www.longitudinaldataanalysis.com/ *When* March 29th (Tue), 30th (Wed), and April 1st (Fri) at 4-7pm, Central European Time. Note: There is no workshop on 31st March. *Speakers* Adriene Beltz (University of Michigan) Markus Eronen (University of Groningen) Christian Gische (Humboldt-University of Berlin) Ellen Hamaker (Utrecht University) Kosuke Imai (Harvard University) Konrad Kording (University of Pennsylvania) Martin Lindquist (Johns Hopkins University) Maya Petersen (University of California, Berkeley) Julia Rohrer Leipzig University) Please feel free to let us know if you have any questions. With best wishes, Adeel (on behalf of organisers) Kou Murayama (University of Tuebingen) Drew Bailey (University of California, Irvine) Catherine Lebel (University of Calgary) Julia Moeller (University of Leipzig) Adeel Razi (Monash University) Baobao Zhang (Syracuse University) Alexander Jung (University of Tuebingen) -- *Adeel Razi, PhD * *Director, Computational & Systems Neuroscience Laboratory *Associate Professor | NHMRC Investigator, Emerging Leadership Fellow | Deputy Lead - Brain Mapping & Modelling Program *Turner Institute for Brain and Mental Health* CIFAR Azrieli Global Scholar, Brain, Mind & Consciousness Program Monash University, Australia adeelrazi.org | monash.edu/turner-institute Honorary Senior Research Fellow *Wellcome Centre for Human Neuroimaging* University College London, United Kingdom *P*: +61 (03) 99050109 | *T*: @adeelrazi | *A*: Room 137, 770 Blackburn Road, Clayton campus, VIC 3800, Australia *Please do not feel obliged to respond until the next working day if you get this email out of your regular working hours!* -------------- next part -------------- An HTML attachment was scrubbed... URL: From chz8 at aber.ac.uk Tue Mar 15 13:02:08 2022 From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff)) Date: Tue, 15 Mar 2022 17:02:08 +0000 Subject: Connectionists: SPECIES Scholarships - First Call for Host Applications (Deadline 25 April 2022) Message-ID: (Apologies for cross-posting) ********************************************************************************* SPECIES Scholarships - Call for Host Applications Website: http://species-society.org/scholarships-2022/ Email: students at species-society.org Deadline for all applications: 25 April 2022 ********************************************************************************* SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings, is proud to announce the 3rd round of SPECIES scholarships. The scheme will be open to both PhD students and recent graduates, who have graduated in the 24 months prior to the submission deadline. The recipients of the scholarships will receive an allowance of 900 euros per month to cover accommodation and living expenses to spend three months at a hosting institution, working under the supervision of an advisor. In the first stage, we are inviting worldwide applications for host institutions. Successful host institutions will be published on the SPECIES website as soon as possible after approval. Applications for candidates will open in early May 2022. More information including conditions of the scholarships and details on how to apply can be found on the SPECIES website: http://species-society.org/scholarships-2022/ students at species-society.org Deadline for host applications: 25 April 2022 Candidate applications open: 3 May 2022 Deadline for candidate applications: 13 June 2022 ---------------------------------------------------------------------------------------------------------------------- Y Brifysgol orau yn y DU am Ansawdd ei Dysgu a Phrofiad Myfyrwyr Best University in the UK for Teaching Quality and Student Experience (The Times and Sunday Times, Good University Guide 2021) Rydym yn croesawu gohebiaeth yn Gymraeg a Saesneg. Cewch ateb Cymraeg i bob gohebiaeth Gymraeg ac ateb Saesneg i bob gohebiaeth Saesneg. Ni fydd gohebu yn Gymraeg yn arwain at oedi. We welcome correspondence in Welsh and English. Correspondence received in Welsh will be answered in Welsh and correspondence in English will be answered in English. Corresponding in Welsh will not involve any delay. From jessica.c.bradford.civ at army.mil Tue Mar 15 16:20:36 2022 From: jessica.c.bradford.civ at army.mil (Bradford, Jessica Cortney (Cortney) CIV USARMY DEVCOM ARL (USA)) Date: Tue, 15 Mar 2022 20:20:36 +0000 Subject: Connectionists: post-doc/research fellow opportunity - BCI for human-agent teaming - US Army Research Laboratory Message-ID: Please email me directly if interested, there is flexibility to tailor the position to the applicants skills and interests. You can find more information about the position at the link. https://zintellect.com/Opportunity/Details/ARL-R-HRED-300139 J. Cortney Bradford Ph.D. Jessica.c.bradford.civ at army.mil US DEVCOM Army Research Laboratory Human research and engineering directorate -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5478 bytes Desc: not available URL: From ASIM.ROY at asu.edu Wed Mar 16 00:18:25 2022 From: ASIM.ROY at asu.edu (Asim Roy) Date: Wed, 16 Mar 2022 04:18:25 +0000 Subject: Connectionists: Call for Papers - Cognitive Computation Special Issue - "What AI and Neuroscience Can Learn from Each Other: Open Problems in Models and Theories" - New Submission Deadline - April 15, 2022 In-Reply-To: References: Message-ID: Dear Colleagues, This Special Issue is about stepping back and taking a look at where we are in terms of understanding the brain. We want to publish short position papers, maximum 10 pages long. We are aiming for quick reviews, about two weeks. Further details are provided below. The Guest Editors decided to extend the deadline to April 15, 2022. Asim Roy Professor, Information Systems Arizona State University Asim Roy | iSearch (asu.edu) Lifeboat Foundation Bios: Professor Asim Roy ------------------------------------------------------------------------------------------------------------------------------ Special Issue Call for Papers: What AI and Neuroscience Can Learn from Each Other: Open Problems in Models and Theories Guest Editors: * (Lead) Asim Roy, Arizona State University, USA, E-mail: ASIM.ROY at asu.edu * Claudius Gros, Institute for Theoretical Physics, Goethe University Frankfurt, Germany, E-mail: gros at itp.uni-frankfurt.de * Juyang Weng, Brain Mind Institute, USA, Email: weng at msu.edu * Jean-Philippe Thivierge, University of Ottawa, Canada, E-mail: Jean-Philippe.Thivierge at uottawa.ca * Tsvi Achler, Optimizing Mind, Email: achler at optimizingmind.com * Ali A. Minai, University of Cincinnati, USA, E-mail: Ali.Minai at uc.edu Aim and Motivation: Arguments about the brain and how it works are endless. Despite some conflicting conjectures and theories that have existed for decades without resolution, we have made significant progress in creating brain-like computational systems to solve some important engineering problems. It would be a good idea to step back and examine where we are in terms of our understanding of the brain and potential problems with the brain-like AI systems that have been successful so far. For this special issue of Cognitive Computation, we invite thoughtful articles on some of the issues that we have failed to address and comprehend in our journey so far in understanding the brain. We aim for rapid peer-reviews by experts (about two weeks) for all selected submissions and plan to publish the special issue papers on a rolling basis from early 2022. Topics: We plan to publish a collection of short articles on a variety of topics that could be asking new questions, proposing new theories, resolving conflicts between existing theories, and proposing new types of computational models that are brain-like. Deadlines: SI submissions deadline: 15 February 2022 First notification of acceptance: 11 March 2022 Submission of revised papers: 10 April 2022 Final notification to authors: 30 April 2022 Publication of SI: Rolling basis (2022) Submission Instruction: Prepare your paper in accordance with the Journal guidelines: www.springer.com/12559. Submit manuscripts at: http://www.editorialmanager.com/cogn/. Select "SI: AI and Neuroscience" for the special issue under "Additional Information." Your paper must contain significant and original work that has not been published nor submitted to any journals. All papers will be reviewed following standard reviewing procedures of the Journal. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Tue Mar 15 14:11:46 2022 From: mpavone at dmi.unict.it (Mario Pavone) Date: Tue, 15 Mar 2022 19:11:46 +0100 Subject: Connectionists: =?iso-8859-1?q?Metaheuristics_International_Confe?= =?iso-8859-1?q?rence_2022_=40=A0Ortigia-Syracuse=2C_Italy?= Message-ID: <20220315191146.Horde.7gHxVeph4B9iMNbiCgTx3sA@mbox.dmi.unict.it> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. ********************************************************* MIC 2022 - 14th Metaheuristics International Conference 11-14 July 2022, Ortigia-Syracuse, Italy https://www.ANTs-lab.it/mic2022/ mic2022 at ANTs-lab.it ********************************************************* ** Submission deadline: 30th March 2022 ** ** Proceedings in LNCS Volume, Springer ** ** Special Issue in ITOR journal ** ** 7 Plenary Speakers ** ** SUBMISSION SYSTEM ALREADY OPEN ** https://www.easychair.org/conferences/?conf=mic2022 *Scope of the Conference ======================== The?Metaheuristics International Conference?(MIC) conference series was established in 1995 and this is its 14th edition!? MIC is nowadays the main event focusing on the progress of the area of Metaheuristics and their applications. As in all previous editions, provides an opportunity to the international research community in Metaheuristics to discuss recent research results, to develop new ideas and collaborations, and to meet old and make new friends in a friendly and relaxed atmosphere.? Considering the particular moment,?the conference will be held in presence and online mode. Of course, in case the conference will be held in presence, the organizing committee will ensure compliance of all safety conditions. MIC 2022 is focus on presentations that cover different aspects of metaheuristic research such as new algorithmic developments, high-impact and original applications, new research challenges, theoretical developments, implementation issues, and in-depth experimental studies.? MIC 2022? strives a high-quality program that will be completed by a number of invited talks, tutorials, workshops and special sessions. *Plenary Speakers ======================== + Christian Blum, Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC) + Kalyanmoy Deb, Michigan State University, USA + Fred Glover, Meta-Analytics, Inc., USA + Salvatore Greco, University of Catania, Italy + Holger H. Hoos, Leiden University, The Netherlands + Gary Kochenberger, University of Colorado, USA + El-Ghazali Talbi, University of Lille, France Important Dates ================ Submission deadline???????????? March 30th, 2022 Notification of acceptance????May 10th, 2022 Camera ready copy?????????????? May 25th, 2022 Early registration????????????? May 25th , 2022 Submission Details =================== MIC 2022 accepts submissions in three different formats: ??S1) Regular paper: novel and original research contributions of a maximum of 15 pages? (LNCS format) ??S2) Short paper: extended abstract of novel research works of 6 pages (LNCS format) ??S3) Oral/Poster presentation: high-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication. All papers must be prepared using Lecture Notes in Computer Science (LNCS) template, and must be submitted in PDF at the link: https://www.easychair.org/conferences/?conf=mic2022 Proceedings and special issue ============================ Accepted papers in categories S1 and S2 will be published as post-proceedings in Lecture Notes in Computer Science series by Springer.? Accepted contributions of category S3 will be considered for oral or poster presentations at the conference based on the number received and the slots available, and will not be included into the LNCS proceedings. An electronic book instead will be prepared by the MIC 2022 organizing committee, and made available on the website. In addition, a post-conference special issue in International Transactions in Operational Research (ITOR) will be considered for the significantly extended and revised versions of selected accepted papers from categories S1 and S2. Conference Location ==================== MIC 2022 will be held in the beautiful Ortigia island, the historical centre of the city of Syracuse, Sicily-Italy. Syracuse is very famous for its ancient ruins, with particular reference to the Roman Amphitheater, Greek Theatre, and the Orecchio di Dionisio (Ear of Dionisio) that is a limestone cave shaped like a human ear. Syracuse is also the city where the greatest mathematician Archimede was born. https://www.siracusaturismo.net/multimedia_lista.asp MIC'2022 Conference Chairs ============================== Conference Chairs - Luca Di Gaspero, University of Undine, Italy - Paola Festa, University of Naples, Italy - Amir Nakib, Universit? Paris Est Cr?teil, France - Mario Pavone, University of Catania, Italy -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= MIC 2022 - 14th International Metaheuristics Conference 11-14 July 2022, Ortigia-Syracuse, Italy https://www.ants-lab.it/mic2022/ ========================================================= From suashdeb at gmail.com Wed Mar 16 02:02:51 2022 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 16 Mar 2022 11:32:51 +0530 Subject: Connectionists: Approx 100 days left for submission, ISCMI22 (Toronto) Message-ID: Dear friends and esteemed colleagues, This is to inform you that a little more than 100 days is left for submission deadline to come to an end for ISCMI22, the 2022 9th flagship event of IICCI, to be held in memory of life and work of Prof. Lotfi Zadeh, with technical co sponsorships of IEEE Toronto Section and IEEE WIE Toronto chapter For more information, pls. visit http://iscmi.us/ The list of all colleagues who had delivered the Prof. Lotfi Zadeh Memorial Speech so far as well as the upcoming ones can be found by visiting http://www.iicci.in/speakers.html I solicit your own submissions as well as your help in disseminating the info among your peers and help us in receiving a few quality manuscripts from them too. Apart from IEEE Conference Proceedings, all the previous ones of which have been successfully uploaded at lEEE Xplore, scope also exists, as in the previous editions of this conference, for publication of the extended versions of some Conference papers at "Neural Computing and Applications", a reputed Springer Publication. Thanks and with warm regards, Suash Deb General Chair, ISCMI 2022 and Secretary General, IICCI http://www.iicci.in -------------- next part -------------- An HTML attachment was scrubbed... URL: From aconst12 at cs.ucy.ac.cy Tue Mar 15 19:27:34 2022 From: aconst12 at cs.ucy.ac.cy (Argyris Constantinides) Date: Wed, 16 Mar 2022 01:27:34 +0200 Subject: Connectionists: Workshop on Adaptive and Personalized Privacy and Security (APPS 2022) - ACM UMAP Workshop Message-ID: <200DC3A7-03EC-4D18-800C-979CC24B130A@cs.ucy.ac.cy> Workshop on Adaptive and Personalized Privacy and Security (APPS 2022) - ACM UMAP Workshop CALL FOR PAPERS The Fourth International Workshop on Adaptive and Personalized Privacy and Security, in conjunction with the 30th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2022), held both virtually and physically from Barcelona, Spain, July 04-07, 2022 Workshop Website: http://appsworkshop.cs.ucy.ac.cy Paper Submissions in EasyChair by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=umap22 IMPORTANT DATES Paper submission: April 15, 2022 (23:59 AoE time) Notification to authors: May 11, 2022 Camera-ready version of accepted papers: May 18, 2022 MOTIVATION & GOALS Millions of users across different continents and countries are daily engaged with privacy and security tasks which are indispensable in modern information systems and services. Such tasks are commonly related to user authentication, human interaction proofs (e.g., captcha), privacy and security pop-up dialogs, setting privacy and security features within online user profiles, etc. Recent privacy and security incidents of famous online services have once more underpinned the necessity towards further investigating and improving current approaches and practices related to the design of efficient and effective privacy and security. In order to achieve this objective, one possible direction is related to providing adaptive and personalized characteristics to privacy- and security-related user tasks, given the diversity of the user characteristics (like cultural, cognitive, age, habits), the technology (like standalone, mobile, mixed-virtual-augmented reality, wearables) and interaction contexts of use (like being on the move, social settings, spatial limitations). Hence, adaptive and personalized privacy and security implies the ability of an interactive system or service to support its end-users, who are engaged in privacy- and/or security-related tasks, based on user models which describe in a holistic way what constitutes the user?s physical, technological and interaction context in which computation takes place. APPS 2022 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles. Our special focus in 2022 will be on challenges and opportunities related to the security and privacy of remote activities (e.g., remote work environments, distance learning). The workshop will address the following objectives: - increase our understanding and knowledge on supporting usable privacy and security interaction design through novel user modeling mechanisms and adaptive user interfaces; - discuss methods and techniques for understanding user attitudes and perceptions towards privacy and security issues in various application areas; - identify human-centered models for the design, development and evaluation of adaptive and personalized privacy and security systems; - discuss methods for evaluating the impact and added value of adaptation and personalization in privacy and security systems. TOPICS OF INTEREST Topics of interest include, but are not limited to: - Adaptation and personalization approaches in usable privacy and security - Effects of human factors (e.g., cognition, personality, etc.) in privacy and security systems - Novel user interaction concepts and user interfaces for achieving usable security - Cultural diversity in usable privacy and security - Context-aware privacy and security - Adaptive usable security in various domains (e.g., e-Learning, e-Government, IoT, healthcare, etc.) - Adaptive user authentication policies - Novel approaches to the design and evaluation of usable security systems - Privacy and security in smart patient-centric healthcare systems - Novel approaches to the design and evaluation of usable security systems - Lessons learned from the deployment and use of usable privacy and security features - Ethical considerations in adaptive and personalized privacy and security PAPER SUBMISSION & PUBLICATION All workshop papers must contain original, previously unpublished, research work adhering the two publication types: - Full research papers (8-14 pages, excl. references), proposing new approaches, innovative methods and research findings. - Short research papers (up to 7 pages, excl. references), presenting works in progress, lessons learned, emerging or future research issues and directions on topics related to APPS. Manuscripts should be formatted according to the new workflow and template for ACM publications (https://www.acm.org/publications/taps/word-template-workflow ). Please submit your paper through the EasyChair submission system by selecting the track "Workshop-APPS": https://easychair.org/conferences/?conf=umap22 Accepted papers will be published by the ACM and will be available via the ACM Digital Library. ORGANIZING COMMITTEE Argyris Constantinides, Cognitive UX LTD, CY & University of Cyprus, CY Marios Belk, Cognitive UX GmbH, DE & University of Cyprus, CY Christos Fidas, University of Patras, GR Juliana Bowles, University of St. Andrews, UK Andreas Pitsillides, University of Cyprus, CY -------------- next part -------------- An HTML attachment was scrubbed... URL: From juyang.weng at gmail.com Tue Mar 15 20:00:05 2022 From: juyang.weng at gmail.com (Juyang Weng) Date: Tue, 15 Mar 2022 20:00:05 -0400 Subject: Connectionists: Rising Stars in AI Symposium at KAUST: Protocol Flaws In-Reply-To: References: Message-ID: Dear Danko, Since this issue is rampant in AI, I take the liberty to give a CC to connectionist. (1) Misleading. Yes, I agree with you. Before I was using fraud and research misconduct, but Nature EIC suggested using a softer term which I agreed to. (2) Typo: thank you immensely. (3) "p-value in statistical science": I agree with you. My point is to show the necessity. They are not the same. (4) "How about other papers in Nature that you did not mention?" I might miss some machine learning papers in Nature since 2015. But almost all machine learning papers since 2015 in Nature and Science suffer from the protocol flaw of Post-Selections Using Test Sets. This protocol flaw is many more machine learning papers that use neural networks, reinforcement learning, swarm mode, reservoir mode, evolutionary mode, and so on. Please suggest what we should do, as much resource is being wasted. Best regards, -John On Mon, Mar 14, 2022 at 5:54 AM Danko Nikolic wrote: > Dear Juyang, > > I just read your post and immediately read the linked paper. I find it > interesting. Thank you for that. I am amazed that the extent of the problem > is so high. > > I also learned something. I am now completing one study and I realize I > did not decouple the random seeds. Thank you for pointing out the need for > such decoupling. > > Here some comments from my side: > > - you mention that the results are "misleading", but it seems to me that > a more strong term should be used: the results are "too optimistic". The > real performances are worse than what has been reported. > > - found a typo: at one place "ransom seed" should be "random seed". > > - a minor comment: You say: " This is similar to, but more transparent > than, so-called p-value in statistical science. " I would say that the two > things are not too similar. Reporting average + SD is more similar to > standard error of the measurement. > > Finally, I have a question: How about other papers in Nature that you > did not mention? Are there any other papers that have done it right? Should > they be mentioned too? Or in other words, do you have any impression of > which percentage of papers have done it right? Is it maybe that all of the > papers are misleading? Or maybe the split is 50-50? > > I hope you don't mind me sending my thoughts. > > Best, > > Danko > > > > > > > Dr. Danko Nikoli? > www.danko-nikolic.com > https://www.linkedin.com/in/danko-nikolic/ > --- A progress usually starts with an insight --- > > > On Mon, Mar 14, 2022 at 7:53 AM Juyang Weng wrote: > >> Dear Juergen, >> Your service is appreciated but what you are doing is risky. >> I predict that a large number of them, if not all, are "rising stars" of >> protocol flaws. >> Please read why: >> ------------------------------ >> Message: 2 >> Date: Thu, 10 Mar 2022 17:21:37 -0500 >> From: Juyang Weng >> To: Post Connectionists >> Subject: Connectionists: A challenge to Post-Selections in Deep >> Learning >> Message-ID: >> > 6Bx139Ux0iA5PwvEEPzjyXiUcU+WQAcUSO9oOQiSCnkxA at mail.gmail.com> >> Content-Type: text/plain; charset="utf-8" >> >> Through a review of AI papers published in Nature since 2015, this report >> discusses the technical flaws called Post-Selection in the charged papers. >> This report suggests the appropriate protocol, explains reasons for the >> protocol, why what the papers have done is inappropriate and therefore >> yields misleading results. The charges below are applicable to whole >> systems and system components, and in all learning modes, including >> supervised, reinforcement, and swarm learning modes, since the concepts >> about training sets, validation sets, and test sets all apply. A >> reinforcement-learning algorithm includes not only a handcrafted form of >> task-specific, desired answers but also values of all answers, desired and >> undesired. A supervised learning method typically does not provide values >> for intermediate steps (e.g., hidden features), but in contrast, a >> reinforcement learning mode must provide values for intermediate steps >> using a greedy search (e.g., time discount). Casting dice is the key >> protocol flaw that owes a due transparency about all losers (e.g., how >> good >> they are). A commercial product is impractical if it requires every >> customer to cast dice and almost all trained ?lives? must cause accidents >> and be punished by deaths except the luckiest ?life?. All the losers and >> the luckiest are unethically determined by so called ?unseen? (in fact >> should be called ?first seen?) test sets but the human programmer saw all >> the scores before he decided who are losers and who is the luckiest. Such >> a >> deep learning methodology gives no product credibility. >> >> >> http://www.cse.msu.edu/%7eweng/research/2021-06-28-Report-to-Nature-specific-PSUTS.pdf >> >> >> ---- >> Date: Fri, 11 Mar 2022 04:57:02 +0000 >> From: Schmidhuber Juergen >> To: "connectionists at cs.cmu.edu" >> Subject: Connectionists: Rising Stars in AI Symposium at KAUST >> Message-ID: >> Content-Type: text/plain; charset="utf-8" >> >> The AI Initiative at KAUST is hosting the inaugural "Rising Stars in AI >> Symposium" at KAUST from March 13-15. This event is geared towards young >> researchers (including Ph.D. students, PostDocs and young faculty), who >> have recently published promising work at leading AI venues. There will be >> dozens of brief in-person presentations about papers recently accepted at >> major AI conferences such as NeurIPS, CVPR, EMNLP, ACL, ICML, ICLR, etc. >> All speakers will start with an intro for non-AI experts. >> >> To view the complete program and for more event details, please visit the >> symposium website: >> >> https://cemse.kaust.edu.sa/ai/aii-symp-2022 >> >> The symposium will be limited to in-person attendance. So, if you are >> interested in joining the event, please register here: >> >> >> https://docs.google.com/forms/d/e/1FAIpQLSfNnc3N9sGJwkRfePzsZakQSkunhxRadnecGSOd1m7-F7At-A/viewform?hl=en >> >> We will try our best to accommodate those who register to attend in >> person. >> >> J?rgen Schmidhuber >> Director, AI Initiative, KAUST >> https://people.idsia.ch/~juergen/kaust-2021.html >> https://people.idsia.ch/~juergen/kaust-2021-hiring.html >> >> -- >> Juyang (John) Weng >> > -- Juyang (John) Weng -------------- next part -------------- An HTML attachment was scrubbed... URL: From danko.nikolic at gmail.com Wed Mar 16 01:48:59 2022 From: danko.nikolic at gmail.com (Danko Nikolic) Date: Wed, 16 Mar 2022 06:48:59 +0100 Subject: Connectionists: Rising Stars in AI Symposium at KAUST: Protocol Flaws In-Reply-To: References: Message-ID: Thank you Juyang, " Please suggest what we should do, as much resource is being wasted." A suggestion: Have a student or a group of students redo the studies (at least those for which the code and data are available) and publish the correct performance results. Write down: The original study reported the performance of A. The true performance is B. And B < A. This is a lot of work. I know. Would you say that this entire issue is a part of the general replicability crisis in science? Danko Dr. Danko Nikoli? www.danko-nikolic.com https://www.linkedin.com/in/danko-nikolic/ --- A progress usually starts with an insight --- Virus-free. www.avast.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> On Wed, Mar 16, 2022 at 1:00 AM Juyang Weng wrote: > Dear Danko, > > Since this issue is rampant in AI, I take the liberty to give a CC to > connectionist. > (1) Misleading. Yes, I agree with you. Before I was using fraud and > research misconduct, but Nature EIC suggested using a softer term which I > agreed to. > (2) Typo: thank you immensely. > (3) "p-value in statistical science": I agree with you. My point is to > show the necessity. They are not the same. > (4) "How about other papers in Nature that you did not mention?" I might > miss some machine learning papers in Nature since 2015. But almost all > machine learning papers since 2015 in Nature and Science suffer from the > protocol flaw of Post-Selections Using Test Sets. This protocol flaw is > many more machine learning papers that use neural networks, > reinforcement learning, swarm mode, reservoir mode, evolutionary mode, and > so on. Please suggest what we should do, as much resource is being wasted. > Best regards, > -John > > On Mon, Mar 14, 2022 at 5:54 AM Danko Nikolic > wrote: > >> Dear Juyang, >> >> I just read your post and immediately read the linked paper. I find it >> interesting. Thank you for that. I am amazed that the extent of the problem >> is so high. >> >> I also learned something. I am now completing one study and I realize I >> did not decouple the random seeds. Thank you for pointing out the need for >> such decoupling. >> >> Here some comments from my side: >> >> - you mention that the results are "misleading", but it seems to me that >> a more strong term should be used: the results are "too optimistic". The >> real performances are worse than what has been reported. >> >> - found a typo: at one place "ransom seed" should be "random seed". >> >> - a minor comment: You say: " This is similar to, but more transparent >> than, so-called p-value in statistical science. " I would say that the two >> things are not too similar. Reporting average + SD is more similar to >> standard error of the measurement. >> >> Finally, I have a question: How about other papers in Nature that you >> did not mention? Are there any other papers that have done it right? Should >> they be mentioned too? Or in other words, do you have any impression of >> which percentage of papers have done it right? Is it maybe that all of the >> papers are misleading? Or maybe the split is 50-50? >> >> I hope you don't mind me sending my thoughts. >> >> Best, >> >> Danko >> >> >> >> >> >> >> Dr. Danko Nikoli? >> www.danko-nikolic.com >> https://www.linkedin.com/in/danko-nikolic/ >> --- A progress usually starts with an insight --- >> >> >> On Mon, Mar 14, 2022 at 7:53 AM Juyang Weng >> wrote: >> >>> Dear Juergen, >>> Your service is appreciated but what you are doing is risky. >>> I predict that a large number of them, if not all, are "rising stars" of >>> protocol flaws. >>> Please read why: >>> ------------------------------ >>> Message: 2 >>> Date: Thu, 10 Mar 2022 17:21:37 -0500 >>> From: Juyang Weng >>> To: Post Connectionists >>> Subject: Connectionists: A challenge to Post-Selections in Deep >>> Learning >>> Message-ID: >>> >> 6Bx139Ux0iA5PwvEEPzjyXiUcU+WQAcUSO9oOQiSCnkxA at mail.gmail.com> >>> Content-Type: text/plain; charset="utf-8" >>> >>> Through a review of AI papers published in Nature since 2015, this report >>> discusses the technical flaws called Post-Selection in the charged >>> papers. >>> This report suggests the appropriate protocol, explains reasons for the >>> protocol, why what the papers have done is inappropriate and therefore >>> yields misleading results. The charges below are applicable to whole >>> systems and system components, and in all learning modes, including >>> supervised, reinforcement, and swarm learning modes, since the concepts >>> about training sets, validation sets, and test sets all apply. A >>> reinforcement-learning algorithm includes not only a handcrafted form of >>> task-specific, desired answers but also values of all answers, desired >>> and >>> undesired. A supervised learning method typically does not provide values >>> for intermediate steps (e.g., hidden features), but in contrast, a >>> reinforcement learning mode must provide values for intermediate steps >>> using a greedy search (e.g., time discount). Casting dice is the key >>> protocol flaw that owes a due transparency about all losers (e.g., how >>> good >>> they are). A commercial product is impractical if it requires every >>> customer to cast dice and almost all trained ?lives? must cause accidents >>> and be punished by deaths except the luckiest ?life?. All the losers and >>> the luckiest are unethically determined by so called ?unseen? (in fact >>> should be called ?first seen?) test sets but the human programmer saw all >>> the scores before he decided who are losers and who is the luckiest. >>> Such a >>> deep learning methodology gives no product credibility. >>> >>> >>> http://www.cse.msu.edu/%7eweng/research/2021-06-28-Report-to-Nature-specific-PSUTS.pdf >>> >>> >>> ---- >>> Date: Fri, 11 Mar 2022 04:57:02 +0000 >>> From: Schmidhuber Juergen >>> To: "connectionists at cs.cmu.edu" >>> Subject: Connectionists: Rising Stars in AI Symposium at KAUST >>> Message-ID: >>> Content-Type: text/plain; charset="utf-8" >>> >>> The AI Initiative at KAUST is hosting the inaugural "Rising Stars in AI >>> Symposium" at KAUST from March 13-15. This event is geared towards young >>> researchers (including Ph.D. students, PostDocs and young faculty), who >>> have recently published promising work at leading AI venues. There will be >>> dozens of brief in-person presentations about papers recently accepted at >>> major AI conferences such as NeurIPS, CVPR, EMNLP, ACL, ICML, ICLR, etc. >>> All speakers will start with an intro for non-AI experts. >>> >>> To view the complete program and for more event details, please visit >>> the symposium website: >>> >>> https://cemse.kaust.edu.sa/ai/aii-symp-2022 >>> >>> The symposium will be limited to in-person attendance. So, if you are >>> interested in joining the event, please register here: >>> >>> >>> https://docs.google.com/forms/d/e/1FAIpQLSfNnc3N9sGJwkRfePzsZakQSkunhxRadnecGSOd1m7-F7At-A/viewform?hl=en >>> >>> We will try our best to accommodate those who register to attend in >>> person. >>> >>> J?rgen Schmidhuber >>> Director, AI Initiative, KAUST >>> https://people.idsia.ch/~juergen/kaust-2021.html >>> https://people.idsia.ch/~juergen/kaust-2021-hiring.html >>> >>> -- >>> Juyang (John) Weng >>> >> > > -- > Juyang (John) Weng > -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Mar 16 07:07:24 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 16 Mar 2022 12:07:24 +0100 Subject: Connectionists: =?utf-8?q?CFP=3A_Computer_Science_and_Systems_=28?= =?utf-8?q?CSS=2722=3B_within_FedCSIS=2722=3B_IEEE_=2354150=3B_CORE_rank_B?= =?utf-8?q?=3B_70_punkt=C3=B3w_MEiN=3B_HYBRID_event=29?= In-Reply-To: <106d5313-e15e-7b70-1c61-c96ce9451a3d@pti.org.pl> References: <106d5313-e15e-7b70-1c61-c96ce9451a3d@pti.org.pl> Message-ID: CALL FOR PAPERS Computer Science and Systems (CSS'22; https://fedcsis.org/2022/css) Track within 2022 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'22; IEEE #54150; CORE rank B; 70 punkt?w MEiN; HYBRID event) ************************** COVID-19 Information ************************ Conference will take place in Sofia Bulgaria, for those who will be able to make it there. For those who will not be able to reach Sofia, online participation will be made available. ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE CSS is a FedCSIS track aiming at integrating and creating synergy between FedCSIS technical sessions which thematically subscribe to more technical (or applicable) aspects of computer science and related disciplines. The CSS track spans themes ranging from hardware issues close to the discipline of computer engineering via software issues tackled by the theory and applications of computer science, and to communication issues of interest to distributed, smart, multimedia and network systems. The track is oriented on the research where the computer science meets the real world problems, real constraints, model objectives, etc. However the scope is not limited to applications, we all know that all of them were born from the innovative theory developed in laboratory. We want to show the fusion of these two worlds. Therefore one of the goals for the track is to show how the idea is transformed into application, since the history of modern science show that most of successful research experiments had their continuation in real world. CSS track is going to give an international panel where researchers will have a chance to promote their recent advances in applied computer science both from theoretical and practical side. Scope: + Applied parallel and distributed computing and systems + Applied system architectures and paradigms + Problem-oriented simulations and modelling + Applied methods of multimodal, constrained and heuristic optimization + Applied computer systems in technology, medicine, ecology, environment, economy, etc. + Theoretical fundamentals of the above computer sciences, developed into the practical use + Hardware engineering Track includes technical sessions: * Actors, Agents, Assistants, Avatars (1st Workshop 4A'22) * Computer Aspects of Numerical Algorithms (15th Workshop CANA'22) * Concurrency, Specification and Programming (30th Symposium CS&P'22) * Multimedia Applications and Processing (15th International Symposium MMAP'22) * Scalable Computing (12th Workshop WSC'22) FedCSIS'22 KEYNOTE SPEAKERS: * Krassimir Atanassov Bulgarian Academy of Sciences, Sofia, Bulgaria https://scholar.google.com/citations?hl=pl&user=K-vuWKsAAAAJ * Thomas Blaschke University of Salzburg, Salzburg, Austria https://scholar.google.com/citations?user=kMroJzUAAAAJ * Chris Cornelis Ghent University, Ghent, Belgium https://scholar.google.com/citations?hl=pl&user=ln46HlkAAAAJ * Franco Zambonelli University of Modena e Reggio Emilia, Bologna, Italy https://scholar.google.com/citations?hl=pl&user=zxulxcoAAAAJ ZDZISLAW PAWLAK BEST PAPER AWARD The Professor Zdzislaw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS 2022 are eligible to be considered as the award winners. This award will be granted independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2022/zp_award PAPER PUBLICATION: + Papers should be submitted by May 10, 2022 (strict deadline, no extensions, submission system is open, via EasyChair https://easychair.org/my/conference?conf=fedcsis2022). + Preprints will be published online. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will be posted within the conference Web portal. Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). IMPORTANT DATES: + Paper submission (strict deadline): May 10, 2022, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2022 + Author notification: July 6, 2022 + Final paper submission and registration: July 12, 2022 + Payment (early fee deadline): August 2, 2022 + Conference date: September 4-7, 2022 Please forward this announcement to your colleagues and associates who could be interested in it. TRACK CHAIRS: * Dimov, Ivan, Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Bulgaria * Wasielewska-Michniewska, Katarzyna, Systems Research Institute, Polish Academy of Sciences, Poland Contact: css-track at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From hocine.cherifi at gmail.com Wed Mar 16 09:53:59 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 16 Mar 2022 14:53:59 +0100 Subject: Connectionists: CFP COMPLEX NETWORKS 2022 Palermo Italy November 08 -10, 2022 Message-ID: *11th** International Conference on Complex Networks & Their Applications* *Palermo, Italy *November 08 - 10, 2022 COMPLEX NETWORKS 2022 You are cordially invited to submit your contribution until *June 07, 2022*. *SPEAKERS* ? Lu?s A. Nunes Amaral Northwestern University USA ? Manuel Cebrian Max Planck Institute for Human Development Germany ? Shlomo Havlin Bar-Ilan University in Israel ? Giulia Iori City, University of London UK ? Melanie Mitchell Santa Fe Institute USA ? Ricard Sol? Universitat Pompeu Fabra Spain *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Rosario N. Mantegna (university of Palermo, Italy) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From crpalmec7 at alumnes.ub.edu Wed Mar 16 10:26:45 2022 From: crpalmec7 at alumnes.ub.edu (=?iso-8859-3?Q?CRISTINA_PALMERO_CANTARI=D1O?=) Date: Wed, 16 Mar 2022 14:26:45 +0000 Subject: Connectionists: [Call for Papers] Workshop on Human Behavior Understanding (HBU) @ ICPR 2022 Message-ID: [Apologies for cross-posting] *********************************************************************************************** CALL FOR PAPERS - HBU 2022 12th International Workshop on Human Behavior Understanding (HBU) Focus theme: Applications for Clinical and Behavioral Sciences Held in conjunction with ICPR 2022 Workshop website: https://www.cmpe.boun.edu.tr/hbu/2022/ Paper submission deadline: May 3rd, 2022 Notifications: June 1st, 2022 Camera-ready submission deadline: June 24th, 2022 Workshop: August 21st/25th, 2022 (to be confirmed) *********************************************************************************************** ORGANIZERS Albert Ali Salah, Universiteit Utrecht, Netherlands, and Bo?azi?i University, Turkey Sergio Escalera, Universitat de Barcelona and Computer Vision Center, Spain Cristina Palmero, Universitat de Barcelona and Computer Vision Center, Spain Henning M?ller, HES-SO, Switzerland Hugo Jair Escalante, Instituto Nacional de Astrof?sica, ?ptica y Electr?nica, M?xico ABOUT Domains for human behavior understanding (e.g. multimedia, human-computer interaction, robotics, affective computing and social signal processing) predominantly rely on advanced pattern recognition techniques to automatically interpret complex behavioral patterns generated when humans interact with machines or with other agents. This is a challenging research area where many issues are still open, including the joint modeling of behavioral cues taking place at different time scales, the inherent uncertainty of machine detectable evidences of human behavior, the mutual influence of people involved in interactions, the presence of long term dependencies in observations extracted from human behavior, and the important role of dynamics in human behavior understanding. For clinical and behavioral sciences, not only accurate behavior analysis is essential, but further aspects like explainability, privacy-aware processing, and fairness are often required. The development of explainable and interpretable models for social behavior analysis would result in more trustable solutions that could be adopted by domain experts for informed decision making. Furthermore, public datasets are often difficult to obtain and share in a privacy-aware manner (particularly during Covid-19), which hampers scientific progress. This workshop, organised as part of ICPR 2022, will gather researchers dealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of relational attitudes, performance of individual or joint actions, etc.), with particular attention to clinical settings and tools usable for behavioral scientists. Examples of challenges are automatic labeling, annotation, and reporting systems, datasets acquired from real or simulated clinical conditions, systems that focus on the analysis of interaction dynamics, early diagnosis and intervention systems, augmented telepresence, personalized agents, and multimodal approaches. The HBU workshops, previously organized as satellite events to major conferences in different disciplines (ICPR'10, AMI'11, IROS'12, ACMMM'13, ECCV'14, UBICOMP'15, ACMMM'16, FG'18, ECCV'18, ICCV'19, WACV'21) have a unique aspect of fostering cross-pollination of disciplines, bringing together researchers from a variety of fields, such as computer vision, pattern recognition, HCI, artificial intelligence, interaction design, ambient intelligence, social signal processing, psychology, and robotics. The diversity of human behavior, the richness of multimodal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform. TOPICS OF INTEREST The topics for submission include all papers relevant to the automatic analysis and modeling of human behavior. These include, but are not limited to: * Applications of human behavior analysis for clinical and behavioral sciences * Explainable and interpretable models for the analysis of human behavior * Detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics * Verbal / nonverbal communication analysis * Contextual analysis in interpersonal interactions * Datasets, annotation protocols and bias discovering/mitigation methods * Multimodal human behavior analysis * Fairness in human behavior analysis * Privacy-aware processing of human behavior * Clinical datasets and validity * Social behaviour analysis * Affective computing * Human-computer interaction * Behavioral biometrics INVITED SPEAKERS Juan Wachs, Purdue University, USA Ehsan Hoque, University of Rochester, USA PAPER SUBMISSION Submission instructions can be found at https://www.cmpe.boun.edu.tr/hbu/2022/submission.html Please feel free to reach out for further details. Albert Ali Salah, Sergio Escalera, Cristina Palmero, Henning M?ller, Hugo Jair Escalante HBU 2022 Organizers Aquest missatge, i els fitxers adjunts que hi pugui haver, pot contenir informaci? confidencial o protegida legalment i s'adre?a exclusivament a la persona o entitat destinat?ria. Si no consteu com a destinatari final o no teniu l'enc?rrec de rebre'l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si l'heu rebut per error, informeu-ne el remitent i elimineu del sistema tant el missatge com els fitxers adjunts que hi pugui haver. Este mensaje, y los ficheros adjuntos que pueda incluir, puede contener informaci?n confidencial o legalmente protegida y est? exclusivamente dirigido a la persona o entidad destinataria. Si usted no consta como destinatario final ni es la persona encargada de recibirlo, no est? autorizado a leerlo, retenerlo, modificarlo, distribuirlo o copiarlo, ni a revelar su contenido. Si lo ha recibido por error, informe de ello al remitente y elimine del sistema tanto el mensaje como los ficheros adjuntos que pueda contener. This email message and any attachments it carries may contain confidential or legally protected material and are intended solely for the individual or organization to whom they are addressed. If you are not the intended recipient of this message or the person responsible for processing it, then you are not authorized to read, save, modify, send, copy or disclose any part of it. If you have received the message by mistake, please inform the sender of this and eliminate the message and any attachments it carries from your account. -------------- next part -------------- An HTML attachment was scrubbed... URL: From crpalmec7 at alumnes.ub.edu Wed Mar 16 12:34:58 2022 From: crpalmec7 at alumnes.ub.edu (=?iso-8859-3?Q?CRISTINA_PALMERO_CANTARI=D1O?=) Date: Wed, 16 Mar 2022 16:34:58 +0000 Subject: Connectionists: [Call for Papers] Workshop on Human Behavior Understanding (HBU) @ ICPR 2022 Message-ID: [Apologies for cross-posting] *********************************************************************************************** CALL FOR PAPERS - HBU 2022 12th International Workshop on Human Behavior Understanding (HBU) Focus theme: Applications for Clinical and Behavioral Sciences Held in conjunction with ICPR 2022 Workshop website: https://www.cmpe.boun.edu.tr/hbu/2022/ Paper submission deadline: May 3rd, 2022 Notifications: June 1st, 2022 Early-bird registration deadline: June 6th, 2022 Camera-ready submission deadline: June 24th, 2022 Workshop: August 21st/25th, 2022 (to be confirmed) *********************************************************************************************** ORGANIZERS Albert Ali Salah, Universiteit Utrecht, Netherlands, and Bo?azi?i University, Turkey Sergio Escalera, Universitat de Barcelona and Computer Vision Center, Spain Cristina Palmero, Universitat de Barcelona and Computer Vision Center, Spain Henning M?ller, HES-SO, Switzerland Hugo Jair Escalante, Instituto Nacional de Astrof?sica, ?ptica y Electr?nica, M?xico ABOUT Domains for human behavior understanding (e.g. multimedia, human-computer interaction, robotics, affective computing and social signal processing) predominantly rely on advanced pattern recognition techniques to automatically interpret complex behavioral patterns generated when humans interact with machines or with other agents. This is a challenging research area where many issues are still open, including the joint modeling of behavioral cues taking place at different time scales, the inherent uncertainty of machine detectable evidences of human behavior, the mutual influence of people involved in interactions, the presence of long term dependencies in observations extracted from human behavior, and the important role of dynamics in human behavior understanding. For clinical and behavioral sciences, not only accurate behavior analysis is essential, but further aspects like explainability, privacy-aware processing, and fairness are often required. The development of explainable and interpretable models for social behavior analysis would result in more trustable solutions that could be adopted by domain experts for informed decision making. Furthermore, public datasets are often difficult to obtain and share in a privacy-aware manner (particularly during Covid-19), which hampers scientific progress. This workshop, organised as part of ICPR 2022, will gather researchers dealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of relational attitudes, performance of individual or joint actions, etc.), with particular attention to clinical settings and tools usable for behavioral scientists. Examples of challenges are automatic labeling, annotation, and reporting systems, datasets acquired from real or simulated clinical conditions, systems that focus on the analysis of interaction dynamics, early diagnosis and intervention systems, augmented telepresence, personalized agents, and multimodal approaches. The HBU workshops, previously organized as satellite events to major conferences in different disciplines (ICPR'10, AMI'11, IROS'12, ACMMM'13, ECCV'14, UBICOMP'15, ACMMM'16, FG'18, ECCV'18, ICCV'19, WACV'21) have a unique aspect of fostering cross-pollination of disciplines, bringing together researchers from a variety of fields, such as computer vision, pattern recognition, HCI, artificial intelligence, interaction design, ambient intelligence, social signal processing, psychology, and robotics. The diversity of human behavior, the richness of multimodal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform. TOPICS OF INTEREST The topics for submission include all papers relevant to the automatic analysis and modeling of human behavior. These include, but are not limited to: * Applications of human behavior analysis for clinical and behavioral sciences * Explainable and interpretable models for the analysis of human behavior * Detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics * Verbal / nonverbal communication analysis * Contextual analysis in interpersonal interactions * Datasets, annotation protocols and bias discovering/mitigation methods * Multimodal human behavior analysis * Fairness in human behavior analysis * Privacy-aware processing of human behavior * Clinical datasets and validity * Social behaviour analysis * Affective computing * Human-computer interaction * Behavioral biometrics INVITED SPEAKERS Juan Wachs, Purdue University, USA Ehsan Hoque, University of Rochester, USA PAPER SUBMISSION Submission instructions can be found at https://www.cmpe.boun.edu.tr/hbu/2022/submission.html Please feel free to reach out for further details. Albert Ali Salah, Sergio Escalera, Cristina Palmero, Henning M?ller, Hugo Jair Escalante HBU 2022 Organizers Aquest missatge, i els fitxers adjunts que hi pugui haver, pot contenir informaci? confidencial o protegida legalment i s'adre?a exclusivament a la persona o entitat destinat?ria. Si no consteu com a destinatari final o no teniu l'enc?rrec de rebre'l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si l'heu rebut per error, informeu-ne el remitent i elimineu del sistema tant el missatge com els fitxers adjunts que hi pugui haver. Este mensaje, y los ficheros adjuntos que pueda incluir, puede contener informaci?n confidencial o legalmente protegida y est? exclusivamente dirigido a la persona o entidad destinataria. Si usted no consta como destinatario final ni es la persona encargada de recibirlo, no est? autorizado a leerlo, retenerlo, modificarlo, distribuirlo o copiarlo, ni a revelar su contenido. Si lo ha recibido por error, informe de ello al remitente y elimine del sistema tanto el mensaje como los ficheros adjuntos que pueda contener. This email message and any attachments it carries may contain confidential or legally protected material and are intended solely for the individual or organization to whom they are addressed. If you are not the intended recipient of this message or the person responsible for processing it, then you are not authorized to read, save, modify, send, copy or disclose any part of it. If you have received the message by mistake, please inform the sender of this and eliminate the message and any attachments it carries from your account. -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Thu Mar 17 02:24:11 2022 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Thu, 17 Mar 2022 07:24:11 +0100 Subject: Connectionists: PhD Scholarship in reinforcement learning, privacy, or fairness at the university of Neuchatel, Swizerland Message-ID: PhD Scholarship in reinforcement learning, privacy, or fairness at the university of Neuchatel, Swizerland We are looking for a PhD student to join our group on reinforcement learning and decision making under uncertainty more generally, at the University of Neuchatel, Switzerland ( https://www.unine.ch/ ). We are particularly interested in candidates with a strong mathematical background. Prior research experience as documented by your Masters thesis is required. Within the area, we are looking for candidates with a strong research interest in the following fields - Reinforcement learning and decision making under uncertainty: 1. Exploration in reinforcement learning. 2. Decision making nuder partial information. 3. Representations of uncertainty in decision making. 4. Theory of reinforcement learning (e.g. PAC/regret bounds) 5. Bayesian inference and approximate Bayesian methods. - Social aspect of machine learning 1. Theory of differntial privacy. 2. Algorithms for differentially private machine learning. 3. Algorithms for fairness in machine learning. 4. Interactions between machine learning and game theory. 5. Inference of human models of fairness or privacy. The main supervisor will be Christos Dimitrakakis < https://sites.google.com/site/christosdimitrakakis > Examples of our group's past and current research can be found on arxiv: https://arxiv.org/search/?searchtype=author&query=Dimitrakakis%2C+C. The student will have the opportunity to visit and work with other group members at the University of Oslo, Norway ( https://www.mn.uio.no/ifi/english/people/aca/chridim/index.html ) and Chalmers University of Technology, Sweden ( http://www.cse.chalmers.se/~chrdimi/ ). The PhD candidate must have a strong technical background, including: 1. Thorough knowledge of calculus and linear algebra. 2. A good theoretical background in probability and statistics/machine learning. 3. Practical experience with at least one programming language. The candidate's background will be mainly assessed through their MSc thesis and transcripts, and secondarily through an interview. >>>> Application Information <<<<< *Starting date* 1 September 2022 or soon afterwards. *Application deadline* 31 May 2022. To apply sen an email to christos.dimitrakakis at unine.ch with the subject 'PhD Neuchatel'. An application must include: 1. A statement of research interests and motivation relevant to the position. 2. A CV with a list of references. 3. Your MSc thesis (or a draft) or another research work demonstrating your academic writing. 4. A degree transcript. Feel free to include any other additional information. From jorgecbalmeida at gmail.com Wed Mar 16 16:35:07 2022 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Wed, 16 Mar 2022 20:35:07 +0000 Subject: Connectionists: Mark the date - March 25 is the 3rd Conference on the New Interdisciplinary Horizons in Psychological Research Message-ID: [image: ?scar Gon?alves] *?scar Gon?alves* [image: Jorge Almeida] *Jorge Almeida* *Welcome to the New Interdisciplinary Horizons in Psychological Research Series* It is with great pleasure that we announce the third and last conference of the New Interdisciplinary Horizons in Psychological Research Series. We again have a series of amazing speakers that will be discussing their frontier research, and invite us to reflect on what the Psychological Research arena and its interdisciplinary interfaces in Portugal (and elsewhere) should be for the upcoming decade. In the third conference of the series, we will be discussing how cognitive neuroscience is the central paradigm in major psychology departments, and thus should figure critically in our efforts to advance Psychological Research. We will have six national and international exciting speakers and we hope to have plenty of discussions on their amazing work, and how that work was/is/will be transformative. Please join us to discuss the future of Psychology! This conference will be held in a hybrid format (registration is required; see below), on March 25, 2022, at the Faculty of Psychology and Educational Sciences of the University of Coimbra, and it is generously funded by IBRO ? the International Brain Research Organization - and by the ERC! Hope to see you all here! Jorge and ?scar *Know more about NeoPsych* *Our invited speakers* [image: Patr?cia Maciel] *Maria Ruz* Director of the Mind, Brain and Behavior Research Center and Principal Investigator of the Human Neuroscience Lab at the University of Granada in Spain. [image: imagem.png] *Patr?cia Figueiredo* Assistant Professor, Instituto Superior T?cnico, Lisbon, Portugal [image: Lezanne Ooi] *Mel Goodale* Canada Research Chair in Visual Neuroscience in the Department of Psychology at the University of Western Ontario, and Interim Director of the new Western Institute for Neuroscience [image: Armando Machado] *Bradford Mahon* Associate Professor in Psychology, Department of Psychology, Dietrich College of Humanities and Social Sciences, Carnegie Mellon University [image: imagem.png] *Adrien Owen* Professor of Cognitive Neuroscience and Imaging in the Departments of Physiology & Pharmacology and Psychology at the University of Western Ontario, Canada, and Director of the Brain, Mind, and Consciousness program [image: Jessica Cantlon] *Kalanit Grill-Spector* Department of Psychology, Wu Tsai Neurosciences Institute, Stanford University The event will be held in person but online streaming will be available. However, a free registration is required. In-person attendance is limited and needs confirmation from us. *Reserve your seat* [image: Universidade de Coimbra] [image: IBRO] [image: ERC] [image: UC] [image: FPCEUC] [image: Proaction Lab] [image: Email] [image: Facebook] [image: Instagram] [image: Twitter] [image: LinkedIn] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: imagem.png Type: image/png Size: 533250 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: imagem.png Type: image/png Size: 433549 bytes Desc: not available URL: From akarargyris at gmail.com Thu Mar 17 08:25:45 2022 From: akarargyris at gmail.com (Alex Karargyris) Date: Thu, 17 Mar 2022 13:25:45 +0100 Subject: Connectionists: First Surgical Data Science Summer School, 18-22 July 2022, Strasbourg, France. APPLICATION DEADLINE 25th APRIL 2022 Message-ID: We are very happy to announce the 1st Surgical Data Science (SDS) Summer School to be held in Strasbourg, France, from 18th ? 22nd July 2022. Recognizing the surge in Surgical Data Science research and the need for effective clinical translation, the SDS summer school aims to promote research and innovation of clinical value by educating clinicians and computer scientists on respective contexts, needs, tools and methodologies. This first school organized by the Institute of Image-Guided Surgery, IHU- Strasbourg, and the University of Strasbourg will be focusing on endoscopic video analysis. Leading clinical and computers science experts from top institutions will cover subjects related to the clinical use of endoscopy and endoscopic video analysis, spanning from endoscopic instruments and data annotations all the way to advanced deep learning algorithms and the design of clinical translation studies. Short online lectures on fundamentals of endoscopy and computer science will be freely accessible starting from 15th of March 2022 at: https://edu4sds.eve-evolving-education.eu/. Upon completing these fundamentals, prospective participants can apply to the onsite summer school consisting of a series of lectures, hands-on labs, and group projects. Twenty (20) selected computer scientists and clinicians will have the opportunity join us at Institute of Image-Guided Surgery, IHU-Strasbourg, from 18th ? 22nd July 2022 to work in a truly multidisciplinary environment with unique clinical and computer science resources to come up with novel ideas and data science solutions of clinical value. We invite early-career computer science and clinical researchers who are interested in diving into the exciting world of Surgical Data Science to visit http://edu4sds.org/, review the program and learn more about the registration. Applications close on 25th April 2022. Places are limited so early application is advised. Best wishes, The Surgical Data Science Summer School organizing committee Pietro Mascagni, Alexandros Karargyris, Vinkle Srivastav,?Silvana Perretta, Nicolas Padoy -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Thu Mar 17 08:30:31 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 17 Mar 2022 08:30:31 -0400 Subject: Connectionists: CfP Hybrid ISWC 2022 - Call for Workshops & Tutorials: *~2 Days Left to Submit* Message-ID: *CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present the latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. Follow us on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ Join ISWC 2022 by submitting to the following tracks and activities, or by attending the hybrid conference! Call for Workshops and Tutorials: https://iswc2022.semanticweb.org/index.php/workshops-and-tutorials/ Deadline: Friday, 18th March, 2022, 23:59 AoE (Anywhere on Earth) Workshops & Tutorials Chairs: - Marta Sabou, Vienna University of Economics and Business (WU), Austria marta.sabou at wu.ac.at - Raghava Mutharaju, IIIT-Delhi, India raghava.mutharaju at iiitd.ac.in The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Mar 17 10:13:34 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 17 Mar 2022 16:13:34 +0200 Subject: Connectionists: Participation in the free International AI Doctoral Academy (AIDA) Short course "Domain Adaptation and Generalization" by Prof. Vittorio Murino and Dott. Pietro Morerio, April 06, 2022 Message-ID: <011c01d83a09$310864e0$93192ea0$@csd.auth.gr> COURSE TITLE: Domain Adaptation & Generalization LECTURER: Vittorio Murino, vittorio.murino at univr.it; Pietro Morerio, pietro.morerio at iit.it ORGANIZER: University of Verona and Istituto Italiano di Tecnologia CONTENT AND ORGANIZATION: A standard assumption of learning based models is that training and test data share the same input distribution. However, models trained on given datasets perform poorly when tested on data acquired in different settings. This problem is known as domain shift and is particularly relevant, e.g., for visual models of agents acting in the real world or when we have no labeled data available for our target scenario. In the latter case, for instance, we could use synthetically generated data to obtain data for our target task, but this would create a mismatch between training (synthetic) and test (real) images. Filling the gap between these two different input distributions is the goal of domain adaptation (DA) algorithms. In particular, the goal of DA is to produce a model for a target domain (for which we have few or no labeled data) by exploiting labeled data available in a different, source, domain. Various DA techniques have been developed to address the domain shift problem. In this short course, we will provide an introduction to these algorithms and to domain adaptation and generalization. In particular, we will first introduce the domain shift problem, showing application scenarios where it is strongly present. Second, we will provide an overview of the algorithms that have been developed to tackle this issue. In particular, we will focus on the last research trends addressing the DA problem within deep neural networks. Lastly, we will address the domain generalization problem, which is a more challenging task because it assumes that target data is also not available, implying that the training algorithm should be devised to generalize as much as possible without any adaptation to the target in order to properly classify never observed, out-of-distribution samples. REGISTRATION: Free of charge WHEN: April 6, 2022 - 14.00-18.00 CET WHERE: Online (link to be provided by the Lecturer after registration/enrollment) HOW TO REGISTER and ENROLL: Both AIDA and non-AIDA students are encouraged to participate in this short course. If you are an AIDA Student* already, please: Step (a): Register in the course by sending an email to pietro.morerio[at] iit.it for your registration. AND Step (b): Enroll in the same course in the AIDA system using the button below, so that this course enters your AIDA Certificate of Course Attendance. If you are not an AIDA Student do only step (a). *The International AI Doctoral Academy (AIDA) has 73 members, which are top AI Universities, Research centers and Industries: https://www.i-aida.org/ AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members) See more: https://bit.ly/3wfVTXj -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From juyang.weng at gmail.com Thu Mar 17 11:04:22 2022 From: juyang.weng at gmail.com (Juyang Weng) Date: Thu, 17 Mar 2022 11:04:22 -0400 Subject: Connectionists: Rising Stars in AI Symposium at KAUST: Protocol Flaws In-Reply-To: References: Message-ID: Danko, I must provide a deeper insight into your comment: "Write down: The original study reported the performance of A. The true performance is B. And B < A." If the truth is that B can report only 10% correct, A can report 99.99% correct or any higher percentage, if one uses a flowed protocol---Post-Selections Using Validation Sets (PSUVS) or Post-Selections Using Test Sets (PSUTS) depending on whether A reports validation performance or test performance. I have proven the following theorem, in a manuscript currently being evaluated by a journal (an archival version of my IJCNN 2021 paper about Post-Selections): Theorem 4 (Post-Selection Illusion): Given any nonzero validation error rate and nonzero test error rate, the nearest neighbor classifiers with a confidence threshold in Definition 4 satisfies the validation error rate and the test error rate, if the computational resources and the time spent on Post-Selections are not bounded. With an explosion of the number of false papers, the AI field is in a great crisis of protocol flaw. Best regards, -John On Wed, Mar 16, 2022 at 5:51 PM Juyang Weng wrote: > Danko, > > (A) You wrote "Have a student or a group of students redo the studies (at > least those for which the code and data are available) and publish the > correct performance results." > > I tried to contact the authors of a few so-called "high profile" papers. > Many of them did not respond at all. Some of them even contacted my MSU > supervisor to press me to be silent. If some data sets are available at > Github or elsewhere, something is always missing. It is always not a click > of a run to get all the results. In fact, a click of a run saves their > time instead of removing something. Did they do a careful job to make sure > that duplication is too costly? > > (B) You wrote: "Write down: The original study reported the performance of > A. The true > performance is B. And B < A." > > From the theory in my paper in IJCNN, it is much much worse than B < A. > The Post-Selection technique is not product-credible at all, since it > requires a customer to cast dice, probably many times. Saggio et al. of > Google in Nature is among the few who responded to Nature's request, which > I appreciate. The paper mentioned training 10,000 random networks, but the > authors did not show the performance of these 10,000 networks, only 165 > (luckiest?) of them. > > (C) You wrote: "Would you say that this entire issue is a part of the > general replicability > crisis in science?" > > Not as a scientific historian, I guess that this rampant scale of general > replicability crisis in AI is probably the greatest in human history if we > consider the number of AI papers that hide the Post-Selection stages. > arXiv rejected my reports to Science and Nature about the Protocol flaws > without stating any reasons. Is arXiv not peer reviewed as it claimed? > > Best regards, > -John > ---- > Date: Wed, 16 Mar 2022 06:48:59 +0100 > From: Danko Nikolic > To: Juyang Weng > Cc: Post Connectionists > Subject: Re: Connectionists: Rising Stars in AI Symposium at KAUST: > Protocol Flaws > Message-ID: > qyiZBCHAhnw at mail.gmail.com> > Content-Type: text/plain; charset="utf-8" > > Thank you Juyang, > > " Please suggest what we should do, as much resource is being wasted." > > A suggestion: Have a student or a group of students redo the studies (at > least those for which the code and data are available) and publish the > correct performance results. > > Write down: The original study reported the performance of A. The true > performance is B. And B < A. > > This is a lot of work. I know. > > Would you say that this entire issue is a part of the general replicability > crisis in science? > > Danko > > Dr. Danko Nikoli? > www.danko-nikolic.com > https://www.linkedin.com/in/danko-nikolic/ > > > -- > Juyang (John) Weng > -- Juyang (John) Weng -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Fri Mar 18 05:23:54 2022 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Fri, 18 Mar 2022 10:23:54 +0100 Subject: Connectionists: Postdoc in reinforcement learning, at Chalmers, Sweden Message-ID: Postdoc in reinforcement learning (2-4 years) We are looking for a postdoctoral researcher to join our group on reinforcement learning and decision making under uncertainty more generally, at Chalmers University of Technology, Gothenburg, Sweden. We are looking for candidates with a strong research interest in the following fields 1. Exploration in reinforcement learning. 2. Decision making nuder partial information. 3. Representations of uncertainty in decision making. 4. Theory of reinforcement learning (e.g. PAC/regret bounds) 5. Bayesian inference and approximate Bayesian methods. The main supervisor will be Christos Dimitrakakis < https://sites.google.com/site/christosdimitrakakis > Examples of our group's past and current research can be found on arxiv: https://arxiv.org/search/?searchtype=author&query=Dimitrakakis%2C+C. The student will have the opportunity to visit and work with other group members at the University of Oslo, Norway ( https://www.mn.uio.no/ifi/english/people/aca/chridim/index.html ) and Chalmers University of Technology, Sweden ( http://www.cse.chalmers.se/~chrdimi/ ). The candidate's background will be mainly assessed through their publications, and secondarily through an interview. >>>> Application Information <<<<< *Starting date* 1 September 2022 or soon afterwards. *Application deadline* 31 May 2022. For more information, and to apply, visit this page: https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=10191&rmlang=UK 1. A statement of research interests and motivation relevant to the position. 2. A CV with a list of references and a link to your google scholar page or similar. Feel free to include any other additional information. -- Christos Dimitrakakis https://sites.google.com/site/christosdimitrakakis -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.yousif at herts.ac.uk Thu Mar 17 16:55:10 2022 From: n.yousif at herts.ac.uk (Nada Yousif) Date: Thu, 17 Mar 2022 20:55:10 +0000 Subject: Connectionists: PhD studentships at University of Hertfordshire, UK In-Reply-To: References: Message-ID: Applications are invited by the Centre for Future Societies Research for three fully funded PhD studentships at the University of Hertfordshire. These research studentships will be part of the University Alliance (UA) Doctoral Training Alliance in Future Societies, and include the proposed project: "Low-cost, accessible neurostimulation, experiments and simulations" to be supervised by Dr Nada Yousif and Prof Volker Steuber. The PhD project will combine experimental cerebellar stimulation and computational modelling of the cerebellum to show the feasibility of low-cost, accessible non-invasive neurostimulation for treating movement disorders. Please see the Centre for Future Societies Research web page where project details are held on https://www.herts.ac.uk/research/centres/centre-for-future-societies-research/phd-studentships-2022 and the external advert on https://www.jobs.ac.uk/job/CND466/three-fully-funded-phd-research-studentships-in-future-societies. Closing date for applications: 22nd April 2022. Interviews will start soon after the closing date. Studentship start date: September 2022. For informal enquiries contact Dr Nada Yousif (n.yousif at herts.ac.uk) or Prof Volker Steuber (v.steuber at herts.ac.uk, biocomputation.herts.ac.uk). Dr Nada Yousif School of Physics, Engineering and Computer Science University of Hertfordshire +44 (0)1707 284129 n.yousif at herts.ac.uk go.herts.ac.uk/nada_yousif https://sites.google.com/view/nada-yousif/home -------------- next part -------------- An HTML attachment was scrubbed... URL: From lucaleonardo.bologna at cnr.it Thu Mar 17 13:21:23 2022 From: lucaleonardo.bologna at cnr.it (Luca Leonardo Bologna) Date: Thu, 17 Mar 2022 18:21:23 +0100 Subject: Connectionists: =?utf-8?q?EBRAINS_Brain_Simulation_School_2022=2C?= =?utf-8?q?_30_May_=E2=80=93_3_June_2022=2C_REGISTRATION_DEADLINE?= =?utf-8?q?=3A_30_April_2022?= Message-ID: We are glad to announce the *EBRAINS Brain Simulation School 2022* to be held in Palermo, Italy, from 30 May to 3 June, 2022. The EBRAINS Brain Simulation School 2022 aims at introducing the participants to the latest achievements and innovations of the *digital infrastructure for brain research EBRAINS* (ebrains.eu), created by the Human Brain Project. The School will offer tutorials on EBRAINS Tools and eServices. The students will be presented with the overview of the EBRAINS research platform, discussed by the leaders of the Human Brain Project, and gain practical skills in using EBRAINS resources to implement cellular and network level computational models, to use *EBRAINS Computing Services* configure and run simulations, and to visualise/analyse the results. Through tutorials, interactive sessions and hands-on activities, attendees will learn how to interact with EBRAINS to *carry out their own research*, to set up and manage a data-driven collaborative project, or to use the EBRAINS platform to interact with internal and external databases. The *target audience* of this school are advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an *introduction to the neuroinformatics and computational neuroscience tools available in the EBRAINS Infrastructure*. Registrations close on *30 April, 2022*. The event is limited to *40 participants*. Registration and Program are available on the School website: https://www.humanbrainproject.eu/en/education/BRAINSIM/ The School Scientific Chairs & Organizers Michele Migliore, Au?ra Saudargien?, Francesca Spataro, Alessia Bonafede -------------- next part -------------- An HTML attachment was scrubbed... URL: From snooles at gmail.com Fri Mar 18 05:03:04 2022 From: snooles at gmail.com (Gilles Vanwalleghem) Date: Fri, 18 Mar 2022 10:03:04 +0100 Subject: Connectionists: 2 year Postdoc position working on the gut-brain axis in Aarhus - Denmark Message-ID: Dear connectionists, I am hiring a postdoc for my new lab to study the enteric nervous system of Zebrafish in a brand new building and lab. Light-sheet microscopy, brain imaging, microbes! The position is 2 years, with possibility of extension. The start date would be May 2022. The job position is described here: https://mbg.au.dk/en/news-and-events/vacancies/job/re-advertisement-postdoc-position-in-neurobiology Information on my research can be found here: https://mbg.au.dk/en/gilles-vanwalleghem Best regards, Gilles Vanwalleghem Assistant Professor in neurobiology Team leader at Danish Research Institute of Translational Neuroscience (DANDRITE) Department of Molecular Biology and Genetics Aarhus University Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Fri Mar 18 00:01:19 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Fri, 18 Mar 2022 09:31:19 +0530 Subject: Connectionists: SI-EAAI (Impact Factor=6.2) on "randomization-based learning methods" Message-ID: *Call for Papers* *Journal: Engineering Applications of Artificial Intelligence, Elsevier (IF: 6.2)* *Special Issue Title: Randomized Deep and Shallow Learning Algorithms* *We welcome submissions on non-randomized algorithms with significant comparisons against randomized algorithms too.* *Aim and Scope:* Randomization-based learning algorithms have received considerable attention from academics, researchers, and domain workers because randomization-based neural networks can be trained by non-iterative approaches possessing closed-form solutions. Those methods are in general computationally faster than iterative solutions and less sensitive to parameter settings. Even though randomization-based non-iterative methods have attracted much attention in recent years, their deep structures have not been sufficiently developed nor benchmarked. This special issue aims to bridge this gap. The first target of this special issue is to present the recent advances of randomization- based learning methods. Randomization based neural networks usually offer non-iterative closed form solutions. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free iterative optimization techniques. Besides the dissemination of the latest research results on randomization-based and/or non-iterative algorithms, it is also expected that this special issue will cover some practical applications, present some new ideas and identify directions for future studies. Original contributions as well as comparative studies among randomization-based and non-randomized-based methods are welcome with unbiased literature review and comparative studies. Typical deep/shallow paradigms include (but not limited to) random vector functional link (RVFL), echo state networks (ESN), liquid state networks (LSN), kernel ridge regression (KRR) with randomization, extreme learning machines (ELM), random forests (RF), CNN with randomization, broad learning system (BLS), stochastic configuration network (SCN) and so on. All contributions must include sufficient application contents. *Topics:* The topics of the special issue include (with randomization-based methods), but are not limited to: l Randomized convolutional neural networks l Randomized internal representation learning l Regression, classification and time series analysis by randomization-based methods l Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. with randomization l Feedforward, recurrent, multilayer, deep and other structures with randomization l Ensemble learning with randomization l Moore-Penrose pseudo inverse, SVD and other solution procedures. l Gaussian process regression l Randomization-based methods using novel fuzzy approaches l Randomization-based methods for large-scale problems with and without kernels l Theoretical analysis of randomization-based methods l Comparative studies with competing methods without randomization l Applications of randomized methods and information fusion in areas such as power systems, biomedical, finance, economics, signal processing, big data and all other relevant areas *Submission Guideline:* Papers should be submitted using EAAI?s online submission system: https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence. When submitting your manuscript please select the article type "SI: Randomization-based learning algorithms". *Important Dates* ? Manuscript submission due: April 30, 2022 ? First review completed: July 15, 2022 ? Revised manuscript due: Aug 15, 2022 ? Final decisions to authors: Oct 30, 2022 *Guest Editors:* *Dr. P.N. Suganthan, IEEE Fellow* School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore Email: epnsugan at ntu.edu.sg Website: https://www3.ntu.edu.sg/home/epnsugan/ *Dr. M. Tanveer, IEEE Senior Member* Department of Mathematics, Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Website: http://iiti.ac.in/people/~mtanveer/ *Prof. Chin-Teng Lin, IEEE Fellow, IFSA Fellow* Director, Computational Intelligence and Brain Computer Interface Centre Co-Director, Centre for AI (CAI) University of Technology Sydney, Australia Email: Chin-Teng.Lin at uts.edu.au ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 10.45). Associate Editor: Pattern Recognition, Elsevier (IF: 7.74). Action Editor: Neural Networks, Elsevier (IF: 8.05). Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21). Associate Editor: Neurocomputing, Elsevier (IF: 5.72). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.72). Associate Editor: Cognitive Computation, Springer (IF: 5.42). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012). -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Fri Mar 18 00:06:57 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Fri, 18 Mar 2022 09:36:57 +0530 Subject: Connectionists: SI-COGN (IF: 5.42) on Advances in Multi-modal Deep and Shallow Neural Networks for Neuroimaging Applications Message-ID: *Call for Papers* *Journal: Cognitive Computation, Springer (IF: 5.42)* *Special Issue Title: Advances in Multi-modal Deep and Shallow Neural Networks for Neuroimaging Applications* *We welcome your submissions.* Aim and Motivation: Over the past few decades, there has been an exponential increase in the volume, veracity and variety of multi-modal Big data generated from medical imaging applications. This has led to growing challenges for machine learning researchers to effectively extract hidden features and reduce artifacts automatically from images, in order to enhance disease classification, diagnosis, prognosis, segmentation and risk assessment (such as ionizing radiation exposure and side effect of contrast agents). Most existing solutions to these problems are suboptimal owing to risks associated with model training that often lead to inaccurate image acquisition and analysis on account of e.g. overfitting, noise in image, class imbalance and inappropriate features selection. Hence, automated and reliable quality control in medical imaging is a crucial factor for future widespread clinical deployment of machine learning based solutions. In the context of neuroimaging applications, neuroimaging scans are being increasingly and contextually used, along with social, clinical and laboratory data, to detect and diagnose neurological diseases, such as Alzheimer?s disease, Multiple sclerosis, Parkinson?s disease etc. The sources of neuroimaging modalities are from a wide variety of clinical settings, including electrocardiography (ECG), electroencephalography (EEG), magnetic resonance imaging (MRI), functional MRI (fMRI), positron emission tomography (PET). Recent literature has shown the potential of deep and shallow neural network-based multimodal learning algorithms to address a range of neuroimaging challenges on account of their automatic multimodal feature selection, learning and generalisation capabilities. This timely special issue aims to bring together world-leading cutting-edge research (from both academia and industry) on multimodal neural network algorithms, including integrated deep and shallow models, that can increase the diagnosis and prognosis accuracy in analysis of neuroimaging Big data. Topics: Topics include but are not limited to: - Multimodal deep neural networks - Multimodal shallow neural networks - Integrated deep and shallow models for multimodal learning - Real-time segmentation, clustering and classification - Sparse, interpretable and privacy preserving data analytics - Real-time Image acquisition, resolution, registration and production - Automated multimodal artifacts reduction in neuroimaging Automated quality assessment and clinical validation models - Emerging multimodal neuroimaging applications Deadlines: Submissions deadline: April 30, 2022 First notification of acceptance: June 30, 2022 Submission of revised papers: August 30, 2022 Final notification to authors: October 30, 2022 Rolling publication of special issue: late 2022/early 2023 Guest Editors: M. Tanveer (Coordinator), Indian Institute of Technology Indore, India, Email: mtanveer at iiti.ac.in Chin-Teng Lin, University of Technology Sydney, Australia, Email: Chin-Teng.Lin at uts.edu.au Yu-dong Zhang, University of Leicester (UK), Email: yudongzhang at ieee.org Kaizhu Huang, Xi?an Jiaotong-Liverpool University, China, Email: kh476 at duke.edu ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 10.45). Associate Editor: Pattern Recognition, Elsevier (IF: 7.74). Action Editor: Neural Networks, Elsevier (IF: 8.05). Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21). Associate Editor: Neurocomputing, Elsevier (IF: 5.72). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.72). Associate Editor: Cognitive Computation, Springer (IF: 5.42). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012). -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Fri Mar 18 06:27:23 2022 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Fri, 18 Mar 2022 19:27:23 +0900 Subject: Connectionists: WI-IAT 2022 Call for Papers Message-ID: [Apologies if you receive this more than once] +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 21st IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '22) November 17-20, 2022, Niagara Falls, Canada A hybrid conference with both online and offline modes Web Intelligence = AI in the Connected World Homepage: https://www.wi-iat.com/wi-iat2022/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society WI-IAT 2022 Special Event: - Web Intelligence Journal Special Issue: 20 Years of Web Intelligence https://www.iospress.com/catalog/journals/web-intelligence The 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '22) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Web Intelligence and Intelligent Agent Technology research and applications. Academia, professionals and industry people can exchange their ideas, findings and strategies in utilizing the power of human brains and man-made networks to create a better world. More specifically, the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, and emerging Web in health and smart living in the 5G Era. Therefore, the theme of WI-IAT '22 will be ?Web Intelligence = AI in the Connected World?. After the great successful online WI-IAT'20 and hybrid WI-IAT'21 during the global pandemic, WI-IAT'22 will be held in Niagara Falls, Canada, and once again, in the hybrid mode. WI-IAT '22 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. TRACKS AND TOPICS ++++++++++++++++++ Track 1: Web of People * Crowdsourcing and Social Data Mining * Human-Centric Computing * Information Diffusion * Knowledge Community Support * Modelling Crowd-Sourcing * Opinion Mining * People Oriented Applications and Services * Recommendation Engines * Sentiment Analysis * Situational Awareness Social Network Analysis * Social Groups and Dynamics * Social Media and Dynamics * Social Networks Analytics * User and Behavioural Modelling Track 2: Web of Data * Algorithms and Knowledge Management * Autonomy-Oriented Computing (AOC) * Big Data Analytics * Big Data and Human Brain Complex Systems * Cognitive Models * Computational Models * Data-Driven Services and Applications * Data Integration and Data Provenance * Data Science and Machine Learning * Graph Isomorphism * Graph Theory * Information Search and Retrieval * Knowledge Graph * Knowledge Graph and Semantic Networks * Linked Data Management and Analytics * Self-Organizing Networks * Semantic Networks * Sensor Networks * Web Science Track 3: Web of Things * Complex Networks * Distributed Systems and Devices * Dynamics of Networks * Industrial Multi-Domain Web * Intelligent Ubiquitous Web of Things * IoT Data Analytics * Location and Time Awareness * Open Autonomous Systems * Streaming Data Analysis * Web Infrastructures and Devices Mobile Web * Wisdom Web of Things (W2T) Track 4: Web of Trust * Blockchain analytics and technologies * Fake content and fraud detection * Hidden Web Analytics * Monetization Services and Applications * Trust Models for Agents * Ubiquitous Computing * Web Cryptography * Monetization services and applications * Web safety and openness Track 5: Web of Agents * Agent Networks * Autonomy Remembrance Agents * Autonomy-oriented Computing * Behaviour Modelling * Distributed Problem-Solving Global Brain * Edge Computing * Individual-based Modelling Knowledge * Information Agents * Local-Global Behavioural Interactions * Mechanism Design * Multi-Agent Systems * Network Autonomy Remembrance Agents * Self-adaptive Evolutionary Systems * Self-organizing Systems * Social Groups and Dynamics Special Track: Emerging Web in Health and Smart Living * Big Data in Medicine * City Brain and Global Brain * Digital Ecosystems * Digital Epidemiology * Health Data Exchange and Sharing * Healthcare and Medical Applications and Services * Omics Research and Trends * Personalized Health Management and Analytics * Smart City Applications and Services * Time Awareness and Location Awareness Smart City * Wellbeing and Healthcare in the 5G Era IMPORTANT DATES +++++++++++++++ May 1, 2022: Workshop Proposal submission June 1, 2022: Full Papers Submission July 20, 2022: Paper Acceptance Notification July 20, 2022: Early Registration Opens August 7, 2022: Camera-ready Submission November 17, 2022: Workshops and Special Sessions November 18-20, 2022: Main Conference PAPER SUBMISSION ++++++++++++++++ Papers must be submitted electronically via CyberChair in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. URL: https://wi-lab.com/cyberchair/2022/wi22/scripts/submit.php?subarea=WI Organization Structure ++++++++++++++++++++++ General Chairs * Gabriella Pasi, University of Milano-Bicocca, Italy * Jimmy Huang, York University, Canada * Jie Tang, Tsinghua University, China Program Committee Chairs * Jiashu Zhao, Wilfrid Laurier University, Canada * Ebrahim Bagheri, Ryerson University, Canada * Norbert Fuhr, University of Duisburg-Essen, Germany * Atsuhiro Takasu, National Institute of Informatics, Japan * Yixing Fan, Chinese Academy of Sciences, China Local Organizing Chair * Mehdi Kargar, Ryerson University, Canada Workshop/Special Session Chairs * Hiroki Matsumoto, Maebashi Institute of Technology, Japan * Ameeta Agrawal, Portland State University, USA * Cathal Gurrin, Dublin City University, Ireland * Chao Huang, University of Hong Kong, China Tutorial Chair * Vivian Hu, Ryerson University, Canada Publicity Chairs * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Yang Liu, Wilfrid Laurier University, Canada * Yan Ge, University of Bristo, UK WIC Steering Committee Chairs * Ning Zhong, Maebashi Institute of Technology, Japan * Jiming Liu, Hong Kong Baptist University, HK, China WIC Executive Secretary * Xiaohui Tao, University of Southern Queensland, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Fri Mar 18 05:02:17 2022 From: giacomo.cabri at unimore.it (Giacomo Cabri) Date: Fri, 18 Mar 2022 10:02:17 +0100 Subject: Connectionists: KET4DF workshop at CAiSE 2022 DEADLINE EXTENDED Message-ID: <2a79346e-6482-30cd-353f-1abacc17ffcd@unimore.it> [ apologies for potential cross-postings ] ============================================= ???????? Call For Papers ?? 4th International Workshop on ?Key Enabling Technologies for Digital Factories ???? in conjunction with CAiSE 2022 ???? ???? Leuven, Belgium https://sites.google.com/view/ket4df2022/ ============================================= NEW Paper submission deadline 21 March, 2022, 11:59pm Hawaii Time Scope --------------------- The manufacturing industry is entering a new digital era in which advanced information systems and especially (big) data-driven methods and Artificial Intelligence techniques allow companies to move beyond distributed and supervisory control systems to support significant operational improvements and allow dynamic adaptability. Moreover, human-centered trustworthy AI systems provide the ability to augment human work and extend human capabilities in order to solve problems and achieve goals that were unreachable by either humans or machines alone. Such efforts may allow the manufacturing industry in the post-COVID to "go back to normal? and? optimize, scale and ensure their processes and services towards a circular and resilient economy. This workshop seeks at providing the opportunity for inspiration and cross-fertilization for the research groups working on technological solutions for digital factories and smart manufacturing. We welcome innovative papers from academic and industrial researchers covering a wide range of topics of interests in the computer science and computer engineering fields. Topics of interest --------------------- The topics include but are not limited to: * Advanced Information Systems for Smart Manufacturing * Information Systems Engineering for Production Management * Big Data Technologies and Analytics for Smart Manufacturing * Artificial Intelligence and Machine Learning methods for production systems * AI and digital twin applications in production and operations management * Design issues for multimodal human-AI interactions in the industrial environment * Explainable and transparent AI in manufacturing * AI approaches to support and leverage circular economy production models * AI approaches to predict and minimize the effects of unpredictable events * Digital intelligent assistants, software robots (softbots) and chatbots * Applications of Human-Centered AI systems in manufacturing Submission, Journal Special Issue and Important Dates --------------------- Prospective authors are invited to submit original, unpublished research papers within the defined scope of the workshop. The submission should clearly emphasize the aspects relevant to the workshop. Two types of submissions are accepted: - Full research papers and experience papers with a maximum length of 12 pages, including all text, figures, references and appendices. - Short papers and position papers with a maximum length of 6 pages, including references and appendices. Selected papers of the workshop will be invited to provide extended versions for submissions to the Special Issue "IIoT Enabling Next Generation Digital Factories" of the "Sensors" journal https://www.mdpi.com/journal/sensors/about. More details are available on the Workshop Web site. Paper submission: 21 March 2022 Acceptance notification: 8 April 2022 Workshop: 6 or 7 June 2022 --------------------- Workshop Co-chairs: --------------------- Giacomo Cabri Universit? di Modena e Reggio Emilia, Italy Federica Mandreoli Universit? di Modena e Reggio Emilia, Italy Gregoris Mentzas National Technical University of Athens, Greece Karl Hribernik BIBA - Bremer Institut f?r Produktion und Logistik GmbH, Germany --------------------- Workshop web site: https://sites.google.com/view/ket4df2022/ --------------------- --------------------- -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Rector's Delegate for Teaching | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From kc.w at cityu.edu.hk Fri Mar 18 04:03:52 2022 From: kc.w at cityu.edu.hk (Dr. Ka Chun WONG) Date: Fri, 18 Mar 2022 08:03:52 +0000 Subject: Connectionists: CFP: 9th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2022). Message-ID: Welcome to the 2022 9th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2022). The Conference will be held in Toronto, Canada during November 26-27, 2022. The main objective of ISCMI 2022 is to present the latest research and results of scientists related to Soft Computing & Machine Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields. ISCMI 2022 is organized by India International Congress on Computational Intelligence(IICCI), and technically sponsored by the IEEE Toronto Section and IEEE Toronto Women in Engineering. http://www.iscmi.us/ Publication All submissions will be peer reviewed, and all accepted papers will be published in ISCMI 2022 conference proceedings which are expected to be included in IEEE Xplore and submitted for abstracting and indexing. A special issue of "Neural Computing & Applications", a Springer Publication [SCIE indexed, 2020 lmpact Factor : 5.606, 5 Year Impact Factor : 5.573; ISSN: 0941-0643 (print version) ISSN: 1433-3058 (electronic version)], will publish a selected set of extended versions of ISCMI22 papers (to be shortlisted after the conference), after the usual reviewing of those papers. Submission Methods To publish the full paper into conference proceedings and give the oral presentations, please send us the full paper. To give presentation only, please just send us the abstract. Please log in the Electronic Submission System; ( .pdf only) to submit your full paper and abstract. https://easychair.org/conferences/?conf=iscmi2022 For any inquiry about the conference, please feel free to contact us at: sub at iscmi.us. Important Dates Submission Deadline June 30, 2022 Notification Date July 25, 2022 Registration Deadline August 15, 2022 Conference Dates November 26-27, 2022 Topics of interest for submission include, but are not limited to: Advanced Intelligent Systems Ant Colony Optimization and Swarm Intelligence Artificial Immune Systems Artificial Intelligence Artificial Life Associative Memory Automatic Annotation Bioinformatics and Biological Computing Case-Based and Temporal Reasoning Cognitive Science Computational Intelligence Computational Intelligence in Bioinformatics and Computational Biology Computer Vision Systems Connectionism Data Fusion Data Mining and Data Fusion Data Mining and Knowledge Discovery Decision Support Systems Distributed Artificial Intelligence DNA Computing Emotional Intelligence Evaluation and Refinement of Intelligent Systems Evolutionary Computation Evolutionary Optimization Evolutionary Strategies Feature Extraction Firefly Algorithm Fuzziness in Chaotic Systems Fuzziness in Multi-Agent Systems Fuzzy Aggregation Techniques Fuzzy Control Fuzzy Decision Making Fuzzy Inference Fuzzy Logic and Systems Fuzzy Mathematics Fuzzy Optimisation Fuzzy Reconfigurable Systems Fuzzy Systems and Hardware Genetic Algorithms Human-machine Interaction Intelligent Classification Intelligent Control Intelligent Distributed Sensor Networks Intelligent Hybrid Systems Intelligent Image Processing Intelligent Information Retrieval Intelligent Information Systems Intelligent Measurement Intelligent Signal Processing Intelligent Systems Intelligent Tutoring Systems Interval Computation Knowledge Discovery Knowledge Representation Learning and Memory Logical and Probabilistic Inference Machine Learning Mechatronics Modeling the Real World through Contexts Multi-Agent Systems Multimedia Mining Natural Language Processing Neural Networks Neuro-fuzzy Systems Ontology-based Intelligent Systems Particle Swarm Optimization Pattern Recognition Probabilistic Reasoning Reinforcement Learning Robotic Technologies Rough Sets Spatio-Temporal Reasoning Statistical and Structural Pattern Recognition Support Vector Machines Swarm Intelligence Syntactic and Semantic Processing Uncertain Reasoning Web Mining Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniel.polani at gmail.com Thu Mar 17 13:50:35 2022 From: daniel.polani at gmail.com (Daniel Polani) Date: Thu, 17 Mar 2022 17:50:35 +0000 Subject: Connectionists: PhD Studentship in Modeling Sustainability Message-ID: //////////////////////////////////////////////////////////////////////// PhD Studentship Sustainability, Tipping Points and Interventions in Ecosystems University of Hertfordshire Centre for Future Societies Research University Alliance (UA) Doctoral Training Alliance in Future Societies Supervision: Jan T. Kim (j.t.kim at herts.ac.uk) Daniel Polani (d.polani at herts.ac.uk) //////////////////////////////////////////////////////////////////////// Application deadline: 22. April 2022 Bursary GBP 15,609 p.a. //////////////////////////////////////////////////////////////////////// THE RESEARCH Concerns over the "growth philosophy of economy highlights the critical role of sustainability for long-term stability and survival of civilisation. However, the concept of sustainability is not well defined. We aim to substantially advance theoretical approaches to quantify sustainability using information- and control-theoretic methods. We will specifically focus on information-theoretic measures, including empowerment, which has found use for modeling agents in current Machine Learning, AI and Artificial Life to characterize the impact of interventions to capture criteria concerning sustainability for system requiring long-term viability. The proposed project will study measures that quantify how well a system is under control and provide early warning signs on approaching tipping points. This project aims to develop characterization of sustainability in larger dynamical systems, including characterization of the stability of attractors, presaging tipping points and the capacity for effective intervention. We will evaluate it w.r.t. its applicability to scenarios which may including agriculture, ecosystems, health, energy or transport networks and other complex systems. Selected References: - Kim and Polani (2009), Exploring Empowerment as a Basis for Quantifying Sustainability https://ieeexplore.ieee.org/document/4937690 - Kim and Polani (2020), Quantifying Sustainability in a System of Coupled Tipping Elements https://ieeexplore.ieee.org/document/9308385 //////////////////////////////////////////////////////////////////////// THE APPLICANT We invite PhD applications to investigate this topics. You are interested in quantifying sustainability using state-of-the-art methods, especially focused on (but not limited to) information theory and dynamical systems. There is the opportunity for you to link these questions towards biological and/or Artificial Life and ecological, but also economical models, as well as towards other models of complex societies. You should have a very strong first degree; a very keen interest and motivation in delving into and contributing to a fresh, stimulating and fast-moving research area. An outstanding background in one of the following or a related field is essential: Computer Science, AI, Machine Learning, Physics, Mathematics, Statistics, Mathematical Modelling or any other relevant discipline with a considerable quantitative/computational component. You will have excellent programming skills in at least one major computer language. A mathematical/numerical background would be highly desirable. Knowledge in at least one of the following fields would be a strong plus: probability, information and/or dynamical systems theory. Data modelling/neural network techniques are a plus. //////////////////////////////////////////////////////////////////////// THE ENVIRONMENT The envisaged research will take place in the framework of the Centre for Future Societies Research for three fully funded PhD studentships at the University of Hertfordshire. These research studentships will be part of the University Alliance (UA) Doctoral Training Alliance in Future Societies, hosted by the Centre of Future Societies. You will have the opportunity to work in association with the the vibrant and enterprising environment of the SEPIA (Sensor Evolution, Processing, Information and Actuation) subunit of the Adaptive Systems Research Group in the School of Computer Science at the University of Hertfordshire. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 50% of the research submitted being rated as internationally excellent or world leading. The University of Hertfordshire provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Hatfield is close to Central London (less than 25 minutes by direct train to Kings Cross), with convenient access to Stansted, Luton and Heathrow airports, and, via the nearby historic town of St. Albans, also to Gatwick airport. For informal inquiries and more information about the topics, please contact: Dr. Jan Kim (j.t.kim at herts.ac.uk) Prof. Dr. Daniel Polani (d.polani at herts.ac.uk) ///////////////////////////////////////////////////////////////////// THE APPLICATION Application forms and submission instructions are available under https://www.herts.ac.uk/research/centres/centre-for-future-societies-research/phd-studentships-2022 For details, click on the "Sustainability, Tipping Points and Interventions in Ecosystems" section. Also, when applying, mention "Sustainability, Tipping Points and Interventions in Ecosystems" in your application. See also: - https://www.jobs.ac.uk/job/CND466/three-fully-funded-phd-research-studentships-in-future-societies - https://www.findaphd.com/phds/program/three-fully-funded-phd-research-studentships-in-future-societies/?i313p5611 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jaime at unex.es Fri Mar 18 07:34:45 2022 From: jaime at unex.es (=?utf-8?B?SkFJTUUgIEdBTMOBTiBKSU3DiU5FWg==?=) Date: Fri, 18 Mar 2022 11:34:45 +0000 Subject: Connectionists: [CFP] Eleventh Workshop on Management of Cloud and Smart City Systems (MoCS 2022) Message-ID: *[Please accept our apologies if you receive multiple copies of this announcement]* ******************************************************************************************************* Eleventh Workshop on Management of Cloud and Smart City Systems (MoCS 2022) https://sites.google.com/view/mocs2022 Organized in association with IEEE Symposium on Computers and Communications (ISCC 2022) 30th June 2022, Rhodes Island, Greece ******************************************************************************************************* The last years have witnessed a permanent change of vision of cloud systems. Nowadays, the most important stakeholders such as private companies, public agencies, research communities and citizens rely on the cloud for a number of purposes, ranging from sharing hardware infrastructures to software, data, and sensing services. The services designed for complex scenarios like distributed clouds, Internet of Things, smart cities, and the upcoming Industry 5.0, pave the path for a new era of the cloud. The complexity of human dynamics in a city can be better analyzed by decentralizing the infrastructure, integrating and opening the data and sharing the services. The distributed cloud paradigm is a key enabling technology, whereby applications and network functions are hosted in the cloud-to-thing continuum. By being closer to the end-user, besides better supporting low-latency applications, MEC systems are a candidate architecture for such a decentralized, context-aware infrastructure. Despite such a rapid (re-)evolution of edge-cloud systems, the extremely heterogeneous smart city applications (sensing as a service, crowd sensing, etc.) makes the satisfaction of all the requirements a big challenge. In this context, emergent paradigms like artificial intelligence (AI), machine learning (ML), privacy-enhancing technologies (PET) and blockchain (BC) are key enablers for cloud-to-thing systems to shape the development of autonomic orchestration and networking. The workshop on Management of Cloud and Smart city systems (MoCS) started following the ?cloud? revolution about 11 years ago. MoCS 2022, in its 12th edition, is organized in association with the 27th IEEE Symposium on Computers and Communications (IEEE ISCC 2022). The focus of MoCS 2022 is in the convergence of distributed clouds, context and privacy-aware applications for complex scenarios like smart cities and learning-driven approaches for urban planning. The workshop aims at disseminating results on both theoretical and applicative aspects. Topics of interest ------------------- - Application of distributed clouds to smart cities services. - Models for context-aware crowdsensing techniques at urban-level scale. - Human-enabled Edge Computing (HEC) paradigm. - Cloud to Edge continuum. - Edge data center deployment in urban environments. - Cloud quantum service model. - Hybrid quantum for smart city systems. - ML- and AI-based approaches cloud/edge-based smart city applications. - AI-driven models, architectures, and frameworks for edge computing. - Experiences on the (re)use of open platforms for cloud-integrated smart cities services. - Design and evaluation tools for scalability and efficient resource allocation in smart cities. - Design and application of cloud/edge technologies to Intelligent Transport Systems (ITS). - Vehicular cloud architectures for provisioning of smart cities services. - Models and paradigms for the management of cloud/MEC services within/between data. - Data-driven approaches for smart transportation in urban areas. - Blockchain solutions for secure and reliable transactions between the counterparts in data sharing/trading. - Security and privacy techniques to cloud/edge-based smart city applications. - Post-quantum security and privacy for smart city applications. Important Dates --------------- - Submission: April 18, 2022 - Notification: April 30, 2022 - Camera-ready: May 6, 2022 Paper submission ---------------- Prospective authors are invited to submit original technical papers for publication in MoCS 2022. Manuscripts should be written in English with a maximum paper length of 6 printed pages for full papers. All manuscripts should adhere to the IEEE double column conference proceedings (https://www.ieee.org/conferences_events/conferences/publishing/templates.html). At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be included in the ISCC 2022 Proceedings and submitted for inclusion to IEEE Xplore library. The IEEE ISCC Proceedings have been indexed in the past by ISI, dblp and Scopus. This makes the IEEE ISCC Workshops publication venues with very high visibility and impact in both Computer and Communications areas. A few high quality submissions will be invited to submit an extended version of the paper to a special issue. The journal is not confirmed yet. -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.bilen at ed.ac.uk Fri Mar 18 08:03:26 2022 From: h.bilen at ed.ac.uk (Hakan Bilen) Date: Fri, 18 Mar 2022 12:03:26 +0000 Subject: Connectionists: DeepMind PhD Scholarships in Artificial Intelligence at University of Edinburgh Message-ID: Dear all, The School of Informatics at the University of Edinburgh and DeepMind have formed a partnership supporting students in their PhD studies in the field of Machine Learning or Artificial Intelligence (AI). The scholarship covers all tuition fees (at the Home/International tuition fee rate), provides annual stipend of ?15,609 per annum (for 4 years full time study) and provides a research training and support grant. There is one PhD scholarships available for award during the academic year of 2022/3. Recipients will also benefit from mentoring from DeepMind staff during their period of study.?The scholarship places no obligation on the recipient other than to undertake PhD in Machine Learning or Artificial Intelligence in the School of Informatics at The University of Edinburgh and to meet with their mentor. The scholarships will be awarded to applicants who: * is resident of a country and/or region underrepresented in AI; * identify as women including cis and trans people and non-binary or gender fluid people who identify in a significant way as women or female; * and/or identify as Black or other minority ethnicity; All eligible applicants who apply to a PhD research degree, with a research proposal in the specific area of Machine Learning or Artificial Intelligence including computer vision, machine learning and natural language processing, will be automatically considered for the scholarship. For more information about our Research Institutes and postgraduate degrees please see below. https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/bySchool&edition=2021&school=8 Best wishes, Hakan The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Fri Mar 18 07:21:59 2022 From: michael.felsberg at liu.se (Michael Felsberg) Date: Fri, 18 Mar 2022 11:21:59 +0000 Subject: Connectionists: Fully founded PhD positions in machine learning for computer vision, deadline April 19 Message-ID: <41b840e25243b5df0980cc81a260896090477be1.camel@liu.se> The Computer Vision Laboratory at Link?ping University is offering two fully founded PhD positions in machine learning for computer vision. The application deadline is April 19, for further details, see https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18497&rmlang=UK and https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18645&rmlang=UK Best regards Michael Felsberg -- Professor Michael Felsberg Tel: +46 13 282460 Computer Vision Laboratory Mobile:+46 702 202460 Link?ping University email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden https://liu.se/en/employee/micfe03 From h.bilen at ed.ac.uk Fri Mar 18 08:31:30 2022 From: h.bilen at ed.ac.uk (Hakan Bilen) Date: Fri, 18 Mar 2022 12:31:30 +0000 Subject: Connectionists: PhD Studentship in Computer Vision at University of Edinburgh Message-ID: <86b819bc-a61e-a783-dab0-5f647ec60abc@ed.ac.uk> Dear all, We are seeking an exceptional PhD candidate to study in the Visual Computing Group (http://groups.inf.ed.ac.uk/vico/) at the University of Edinburgh. The successful candidate will have an opportunity to work on cutting-edge computer vision and machine learning research project in the intersection of 3D understanding, anomaly detection and few-shot learning from images. The goal of this project is to develop the next generation of deep learning systems for computer vision that can learn to detect anomalies based on 3D interpretation of visual scenes from limited number of images. The position is available from October 2022. PhD candidate requirements We are looking for creative and motivated applicants with, or expected to obtain soon, ideally a MSc or BSc degree in a relevant discipline, including Informatics, Computer Science, Electrical Engineering but not limited to. Background in machine learning and computer vision, and good programming skills (in python) are required. Funding This is an industry funded award and will provide an annual stipend for three and half years plus University fees. There is no restriction on the nationality. Women candidates and candidates from underrepresented backgrounds are especially encouraged to apply. Application If you are interested in the position, please provide a CV, a personal statement detailing your research interests and reasons for applying (max 1 page), marks for your degree(s) and an email address for one academic reference. There is no application deadline, the position will be open till the candidate is appointed. All documents should be in electronic format and sent via e-mail me as soon as possible (Email: h.bilen at ed.ac.uk). Hakan Bilen The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Mar 19 07:14:24 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 19 Mar 2022 12:14:24 +0100 (CET) Subject: Connectionists: DeepLearn 2022 Summer: early registration April 1st Message-ID: <1931135020.742584.1647688464733@webmail.strato.com> ****************************************************************** 6th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2022 Summer Las Palmas de Gran Canaria, Spain July 25-29, 2022 https://irdta.eu/deeplearn/2022su/ ***************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: April 1st, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Bournemouth, and Guimar?es. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/index.php?option=com_k2&view=item&layout=item&id=360&Itemid=896 STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wahid Bhimji (Lawrence Berkeley National Laboratory), Deep Learning on Supercomputers for Fundamental Science Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), Machine Learning -- A Paradigm Shift in Human Thought!? Kate Saenko (Boston University), Overcoming Dataset Bias in Deep Learning PROFESSORS AND COURSES: T?lay Adal? (University of Maryland Baltimore County), [intermediate] Data Fusion Using Matrix and Tensor Factorizations Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning: From Theory to Applications in the Natural Sciences Arindam Banerjee (University of Illinois Urbana-Champaign), [intermediate/advanced] Deep Generative and Dynamical Models Mikhail Belkin (University of California San Diego), [intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation Dumitru Erhan (Google), [intermediate/advanced] Visual Self-supervised Learning and World Models Arthur Gretton (University College London), [intermediate/advanced] Probability Divergences and Generative Models Phillip Isola (Massachusetts Institute of Technology), [intermediate] Deep Generative Models Mohit Iyyer (University of Massachusetts Amherst), [intermediate/advanced] Natural Language Generation Irwin King (Chinese University of Hong Kong), [intermediate/advanced] Deep Learning on Graphs Vincent Lepetit (Paris Institute of Technology), [intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding Yan Liu (University of Southern California), [introductory/intermediate] Deep Learning for Time Series Analysis Dimitris N. Metaxas (Rutgers, The State University of New Jersey), [intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis Sean Meyn (University of Florida), [introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design Louis-Philippe Morency (Carnegie Mellon University), [intermediate/advanced] Multimodal Machine Learning Wojciech Samek (Fraunhofer Heinrich Hertz Institute), [introductory/intermediate] Explainable AI: Concepts, Methods and Applications Clara I. S?nchez (University of Amsterdam), [introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare Bj?rn W. Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Jonathon Shlens (Apple), [introductory/intermediate] An Introduction to Computer Vision and Convolution Neural Networks Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Csaba Szepesv?ri (University of Alberta), [intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman's Curse of Dimensionality 1. Murat Tekalp (Ko? University), [intermediate/advanced] Deep Learning for Image/Video Restoration and Compression Alexandre Tkatchenko (University of Luxembourg), [introductory/intermediate] Machine Learning for Physics and Chemistry Li Xiong (Emory University), [introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning Ming Yuan (Columbia University), [intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 17, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. ORGANIZING COMMITTEE: Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Sat Mar 19 06:18:50 2022 From: timofte.radu at gmail.com (Radu Timofte) Date: Sat, 19 Mar 2022 11:18:50 +0100 Subject: Connectionists: [Final CFP] CVPR 2022 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges Message-ID: Apologies for multiple postings *********************************** CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 11 CHALLENGES NTIRE: 7th New Trends in Image Restoration and Enhancement workshop and image, video, and multi-frame challenges. In conjunction with CVPR 2022, June 19, New Orleans, US. Website: https://data.vision.ee.ethz.ch/cvl/ntire22/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video restoration, enhancement, manipulation on constrained settings ? Image/video processing on mobile devices ? Visual domain translation ? Multimodal translation ? Perceptual enhancement ? Perceptual manipulation ? Depth estimation ? Saliency and gaze estimation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation, depth estimation ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. https://cvpr2022.thecvf.com/author-guidelines The review process is double blind. Accepted and presented papers will be published in the 2022 CVPR Workshops Proceedings by IEEE and CVF. Author Kit: https://cvpr2022.thecvf.com/sites/default/files/2021-10/cvpr2022-author_kit-v1_1-1.zip Submission site: https://cmt3.research.microsoft.com/NTIRE2022 WORKSHOP DATES ? Early & Regular Papers Submission Deadline: March 20, 2022 (extended) ? Late & Challenge Papers Submission Deadline: April 11, 2022 (extended) IMAGE CHALLENGES Spectral Reconstruction from RGB Demosaicing Inpainting Perceptual Image Quality Assessment Learning the Super-Resolution Space Efficient Super-Resolution Night Photography Rendering VIDEO / MULTI-FRAME CHALLENGES Super-Resolution and Enhancement of Compressed Videos Stereo Super-Resolution Burst Super-Resolution High Dynamic Range (HDR) To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE 2022 web page: https://data.vision.ee.ethz.ch/cvl/ntire22/ CHALLENGES DATES ? Release of train data: January 25, 2022 ? Competitions end: March 30, 2022 (extended) Website: https://data.vision.ee.ethz.ch/cvl/ntire22/ Contact: radu.timofte at vision.ee.ethz.ch From timofte.radu at gmail.com Sat Mar 19 06:18:50 2022 From: timofte.radu at gmail.com (Radu Timofte) Date: Sat, 19 Mar 2022 11:18:50 +0100 Subject: Connectionists: [Final CFP] CVPR 2022 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges Message-ID: Apologies for multiple postings *********************************** CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 11 CHALLENGES NTIRE: 7th New Trends in Image Restoration and Enhancement workshop and image, video, and multi-frame challenges. In conjunction with CVPR 2022, June 19, New Orleans, US. Website: https://data.vision.ee.ethz.ch/cvl/ntire22/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video restoration, enhancement, manipulation on constrained settings ? Image/video processing on mobile devices ? Visual domain translation ? Multimodal translation ? Perceptual enhancement ? Perceptual manipulation ? Depth estimation ? Saliency and gaze estimation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation, depth estimation ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. https://cvpr2022.thecvf.com/author-guidelines The review process is double blind. Accepted and presented papers will be published in the 2022 CVPR Workshops Proceedings by IEEE and CVF. Author Kit: https://cvpr2022.thecvf.com/sites/default/files/2021-10/cvpr2022-author_kit-v1_1-1.zip Submission site: https://cmt3.research.microsoft.com/NTIRE2022 WORKSHOP DATES ? Early & Regular Papers Submission Deadline: March 20, 2022 (extended) ? Late & Challenge Papers Submission Deadline: April 11, 2022 (extended) IMAGE CHALLENGES Spectral Reconstruction from RGB Demosaicing Inpainting Perceptual Image Quality Assessment Learning the Super-Resolution Space Efficient Super-Resolution Night Photography Rendering VIDEO / MULTI-FRAME CHALLENGES Super-Resolution and Enhancement of Compressed Videos Stereo Super-Resolution Burst Super-Resolution High Dynamic Range (HDR) To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE 2022 web page: https://data.vision.ee.ethz.ch/cvl/ntire22/ CHALLENGES DATES ? Release of train data: January 25, 2022 ? Competitions end: March 30, 2022 (extended) Website: https://data.vision.ee.ethz.ch/cvl/ntire22/ Contact: radu.timofte at vision.ee.ethz.ch From iccc22.conference at gmail.com Sat Mar 19 13:02:57 2022 From: iccc22.conference at gmail.com (ICCC 2022) Date: Sun, 20 Mar 2022 04:02:57 +1100 Subject: Connectionists: Second Call for Short Papers: The 13th International Conference on Computational Creativity (ICCC'22) Message-ID: (Apologies for cross-posting - Please distribute!) *SECOND CALL FOR SHORT PAPERS AND DEMOS The 13th International Conference on Computational Creativity (ICCC'22)* *June 27 ? July 1, 2022, Bozen-Bolzano, Italy * *(physical event supporting some virtual presence) * *Call for short papers *https://computationalcreativity.net/iccc22/ ????????????????????? **** Short Paper and Demos Deadline *** *Short papers deadline: April 13th Notification: May 13th ????????????????????? Computational Creativity (or CC) is a discipline with roots in Artificial Intelligence (AI), Cognitive Science, Engineering, Design, Psychology and Philosophy, and which explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on frameworks that offer greater clarity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on. **** ICCC Themes and Topics **** Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to: - Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming. - Applications and frameworks that allow for co-creativity between humans and machines, in which the machine is more than a mere tool and takes on significant creative responsibility for itself. - Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how such systems are perceived in society. - Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation. - Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials. - Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems. - Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts. - Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings. - Perspectives on CC which draw from philosophical and/or sociological studies in a context of creative intelligent systems. - CC in the cloud, including how web services can be used to foster unexpected creative behavior in computational systems. - Debate papers that raise new issues or reopen seemingly settled ones. Provocations that question the foundations of the discipline or throw new light on old work are also welcome. - High-level analyses of trends, biases, paradigms and historical shifts in the computational treatment of creativity. New papers reflecting all computational approaches and perspectives on creativity are welcome, including e.g., symbolic approaches, neural and statistical approaches, hybrid approaches, big-data approaches, rule-based approaches, curated approaches, and so on. The onus is on authors to argue and/or explicitly demonstrate the relevance of their work to the topic of computational creativity. Manuscripts should be exclusively submitted to ICCC, and may only be under review for ICCC for the duration of the review process. All papers should be in-scope and comply with scientific norms. The program chairs reserve the right to fast review papers that do not abide by these requirements. **** Short Paper Types *** *Short papers offer concise treatments of work and ideas that are better suited to this concentrated format. We anticipate submissions in the short paper category along any or all of the following lines: - *Nuggets and Gems:* short papers on any topic of CC for which one might consider a long paper. In this case, the work will be succinct enough, or at an early enough stage, to warrant the short paper format. - *System Demonstrations:* Submissions for the show-and-tell session should be made as short papers that are marked accordingly. - *Debate Sparks:* The short paper format is ideal for provocations that get the community talking. Is there some aspect of CC that you feel deserves more attention from the community? - *CC Translations:* Researchers in other fields often do work that we in CC would see as related to our own. We invite those researchers to present such work at ICCC, via a Translations short paper. This is submitted as an extended abstract that summarizes your work in another field. - *CC Bridges:* Research communities often retreat into silos and fail to reach out beyond their own borders. A bridging short paper explicitly seeks to create bridges to another field, to foster interdisciplinarity. Unlike a Translations paper, a Bridge is written by a CC researcher wishing to introduce new ideas from beyond our conventional horizons. - *Late Breaking Results:* The results of your work (empirical or system-related) may not have been ready for a long-paper submission. Consider submitting that work now in a short-paper format. - *Pilot Studies:* Have you conducted an initial foray into a research topic that deserves attention? Plant a flag for your research with a short paper. - *Grand Challenges:* Do you have a proposal for a task that can bring large parts of the community together in a productive collaborative effort? - *Meta-Perspectives:* Do your experience of the CC community (such as our conferences, workshops, reviewing processes, etc.) move you to write an analysis of how we might do things differently and better? - *Field Reports:* Have you taken your CC research into the field, where practitioners and/or commercial partners have explored its uses first hand? Consider writing a short paper about your experiences. - *Event Reports:* Have you organized a CC-flavored event ? a workshop, a tutorial, a seminar series, a postgraduate course, a public debate, an exhibition of CC outputs, or related outreach activity? Consider writing a short paper on your experience and that of your audience. **** DEMO papers **** All authors of accepted papers can opt to also show a demo of their system or prototype during the conference. You will be asked if you are interested in this option during the submission process. **** Submission, Paper and Presentation Format**** All short papers have the same length restriction (4 pages), and may focus on any of the same themes or topics as long papers. Papers should be anonymized and submitted as a PDF document formatted according to ICCC style (which is similar to AAAI and IJCAI formats). You can download the updated ICCC?22 template here: [ https://computationalcreativity.net/iccc22/wp-content/uploads/2022/01/ICCC-22-author-kit.zip ]. Submissions must be done before the deadline through the EasyChair platform at the ICCC 2022 site: [https://easychair.org/conferences?conf=iccc20220]. To be included in the proceedings, each paper must be presented at the conference by one of the authors. This means that at least one author will have to register and participate in the session in which their paper is presented, including the designated question-and-answer period. In order to ensure the highest level of quality, all submissions will be peer-reviewed and evaluated in terms of their scientific, technical, artistic and/or cultural contribution, and therefore there will be only one format for submission. However, the program committee will decide, for each submission, the most appropriate format for presentation: talk, poster, or system demonstration. * *** Important Dates for Short Papers and Demos **** Deadline: April 13th, 2022 Acceptance notification: May 13th, 2022 Camera-ready copies due: May 31st, 2022 Conference: June 27-July 1, 2022 The submission deadline for short papers is set after the long-paper notification, allowing authors to retool their long-paper submissions for this call. **** More Information **** More information on the paper types and submission process can soon be found at https://computationalcreativity.net/iccc22/short-paper-and-demos/ **** Organizing Committee **** General Chairs: Oliver Kutz & Tony Veale Local Chair: Roberto Confalonieri Program Chairs: Anna Kantosalo & Maria M. Hedblom ---------------------------------------- Follow us at: Facebook ? https://www.facebook.com/pg/computationalcreativity/ Twitter ? https://twitter.com/iccc_conf Instagram ? https://www.instagram.com/iccc_conf/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Gemma.DelasCuevas at uibk.ac.at Sat Mar 19 13:09:02 2022 From: Gemma.DelasCuevas at uibk.ac.at (De las Cuevas, Gemma) Date: Sat, 19 Mar 2022 17:09:02 +0000 Subject: Connectionists: Open PostDoc & PhD positions in Innsbruck to work on universality & undecidability Message-ID: I am looking for highly motivated people to join our team! We have open PostDoc and PhD positions in the context of the START Prize. The goal of our research is to understand the reach of universality (and undecidability) across disciplines. All info here: https://delascuevasgroup.com/join-us ? Gemma De las Cuevas Institute for Theoretical Physics University of Innsbruck, Austria Technikerstr. 21a (office 2S12), A-6020 Innsbruck Tel: +43 512 507 52247 Email: gemma.delascuevas at uibk.ac.at Personal website: www.gemmadelascuevas.com Group website: https://delascuevasgroup.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From nasim.sonboli at gmail.com Sat Mar 19 03:23:26 2022 From: nasim.sonboli at gmail.com (Nasim Sonboli) Date: Sat, 19 Mar 2022 01:23:26 -0600 Subject: Connectionists: =?utf-8?q?2nd_CFP=3A_UMAP=E2=80=9922_Doctoral_Con?= =?utf-8?q?sortium_Papers?= Message-ID: --- Please forward to anyone who might be interested --- --- Apologies for cross-posting --- ----------------------------------------------------------------------------- 30th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP'22) Barcelona, Spain, and Online 4 - 7 July 2022 https://www.um.org/umap2022/ ----------------------------------------------------------------------------- Important Dates: - Doctoral Consortium Submission: March 31, 2022; - Notification to authors: April 28, 2022; - Camera-ready submission: May 2, 2022; - Conference: July 4-7, 2022; - DC day: July TBD, 2022; Note: All the deadlines must be intended at 11:59 PM AoE time (Anywhere on Earth) ----------------------------------------------------------------------------- Background and Scope The UMAP 2022 Doctoral Consortium (DC) will take place as part of the 30th International Conference on User Modeling, Adaptation, and Personalization. Doctoral students are invited to apply to present their research to experienced scholars who will provide constructive feedback and advice. Students should consider participating in the DC if they are at least fifteen months away from completing their dissertation at the time of the event, but after having settled on a research area or dissertation topic. This forum will provide Ph.D. students an opportunity to: - Present and discuss their research ideas to experienced scholars in a supportive, formative, and yet critical environment; - Explore and develop their research interests under the guidance of distinguished researchers and industry practitioners from the field who will provide constructive feedback and advice; - Explore career pathways available after completing their Ph.D. degree, and finally - Network and build collaborations with other members of the community. Students are asked to submit a brief proposal outlining their doctoral research (see detailed requirements below), which will be evaluated by the consortium committee. Good quality applications will be selected for presentation at a DC Session as part of the conference. Each student with an accepted submission will be assigned a mentor who will provide feedback on the student?s work and will discuss the doctoral research with the student and the audience at the consortium. ----------------------------------------------------------------------------- A Brief Review of The General Guidelines for a Doctoral Consortium Paper Candidates must submit their DC proposals ?aligning with topics pertaining to the ACM UMAP 2022 key areas? by the submission deadline. Each proposal should be a single PDF, with four required components: a six-page description of your Ph.D., an expected benefits statement, a recommendation letter, and a two-page curriculum vitae. If you are unable to obtain a letter of recommendation from your dissertation advisor, please include a short explanation. For more details please refer to the website: https://www.um.org/umap2022/call-for-doctoral-consortium-papers/ ----------------------------------------------------------------------------- Financial Support ACM UMAP has a history of supporting students who want to attend the conference. Students of accepted DC proposals will have higher priority for UMAP grant applications. ----------------------------------------------------------------------------- DC Chairs: umap2022-doctoral at um.org - Rita Orji (Dalhousie University, Canada) - Giovanni Stilo (University of L?Aquila, Italy) ----------------------------------------------------------------------------- Follow UMAP 2022 on Social Media - Twitter: @UMAPconf #umap2022 (https://twitter.com/UMAPconf) - Facebook: https://www.facebook.com/acmumap -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Sat Mar 19 10:38:47 2022 From: gangluo at cs.wisc.edu (GANG LUO) Date: Sat, 19 Mar 2022 14:38:47 +0000 Subject: Connectionists: Call for Papers - International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2022) In-Reply-To: References: Message-ID: -- Call for Papers -- The Eighth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2022) In Conjunction with VLDB 2022 Sydney, Australia - virtual event September 9, 2022 https://sites.google.com/view/vldbdmah2022/ The format of the workshop is to be decided, but a virtual format will be provided for remote participation. Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modeling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2022 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Short papers will be 6 pages. 3) Abstracts will be 2 pages Important Dates: Abstract (optional): May 10, 2022 Individual Workshop Papers: May 16, 2022 Notification of Acceptance: June 10, 2022 Camera Ready: June 25, 2022 Workshop date: September 9, 2022 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Dejun Teng, Alibaba Inc., China Jun Kong, Georgia State University, USA From stolu at elektro.dtu.dk Fri Mar 18 11:25:04 2022 From: stolu at elektro.dtu.dk (Silvia Tolu) Date: Fri, 18 Mar 2022 15:25:04 +0000 Subject: Connectionists: PhD Studentship in Bioinspired Control for Human-Soft-Robot Interactions - Technical University of Denmark In-Reply-To: <86b819bc-a61e-a783-dab0-5f647ec60abc@ed.ac.uk> References: <86b819bc-a61e-a783-dab0-5f647ec60abc@ed.ac.uk> Message-ID: <999a95666146440388a1aa5f0cb11512@elektro.dtu.dk> Dear all, We are seeking an exceptional PhD candidate: https://www.dtu.dk/english/about/job-and-career/vacant-positions/job?id=51815577-e088-4906-870a-5b34a12109f0 [https://www.dtu.dk:443/english/-/media/dtu_generelt/standard_grafik/dtu.jpg] PhD scholarship in Compliant Physical Human-Robot Interactions by Means of Bioinspired Control www.dtu.dk The Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU) invites applicants for a 3-years PhD position in the areas of soft-robotics and bioinspired control. At DTU, you will be part of a group with broad competences in robotics and autonomous systems, and you will have access to unique facilities where you will be able to conduct your research in a highly motivated, technology-oriented environment where you will enrich your competences through collaboration with several peers and senior staff members. The PhD project is financed by DTU, and it is part of a joint alliance research project; the alliance partner is the University of Technology of Eindhoven (TU/e), Department of Mechanical Engineering. Responsibilities Do you have a passion for cross-disciplinary research spanning the fields of computational neuroscience and engineering? If so, you might be well-suited to join the neurorobotics team. In general, our neurorobotics team works to apply biological control concepts in simulation and on physical robots to investigate neuroscientific hypotheses on biological processes related to motor control and learning. In parallel, within the automation and control area, we investigate high-accuracy nonlinear control for complex motion control applications. This new project will focus on the research of new control framework for soft robots that can guarantee safe operation with humans in the loop. This will be achieved by subsequent design, testing and validation of a biomimetic control architecture that combines nonlinear model-based adaptive control and spiking neural learning (cerebellum-like model). The project will be under the supervision of Associate Professor Silvia Tolu and Assistant Professor Dimitrios Papageorgiou from DTU with co-supervision from TU/e. Besides working on their project, the successful candidate will participate in training events and courses. Moreover, the PhD student will conduct a secondment at the TU/e. The PhD student at DTU will closely collaborate with a PhD student at TU/e in research tasks regarding: 1) the investigation of the use of soft-robots in health-care settings with respect to requirements and conditions of Human Robot Interactions (HRI); 2) implementation of compliant interactions of soft robot and haptic system with humans; 3) design of non-linear adaptive control strategy for robust behaviour of the soft robot; 4) use of haptic feedback and machine learning in a closed-loop connection; 5) development of supervised error learning and reinforcement learning algorithms for optimal interactive movements. The methods will be applied in a soft-modular robot with the goal of exploring the fusion of learning and control approaches. The aim is to accomplish motor learning and contribute to the execution of coordinated, safe, and precise assistive tasks. Combination of dynamic modelling and adaptive control strategies will ensure stability and robustness while exploring complex tasks. Extensive experimental verification in a controlled environment will be performed. Qualifications Applicants should have: * An outstanding academic record, excellent skills, and ideally proven experience in the fields of Computer Science, Electrical/Electronic engineering, Robotics, Automation engineering and or similar. Experience in the fields of robot programming, computer vision, mathematical modelling, machine learning, and/or computational neuroscience is beneficial. * Excellent methodological skills and an analytical mind-set, ability to work both independently and as a member of a research team. * Outstanding communication skills in English, both oral and written. * High motivation, ambition, and enthusiasm about research in physical manipulation with robots. * Excited to collaborate with a diverse team of robotics researchers and engineers. To be eligible for recruitment, the following criteria must be met: * Applicants must have a university degree that qualifies for PhD studies at the time of recruitment. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation, and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be based on the salary conditions for Phd students. The period of employment is 3 years. The successful candidate will receive an employment full time contract. The expected start date for the position is June-September 2022. You can read more about career paths at DTU here. Further information Further information may be obtained from Associate Professor Silvia Tolu, tel. +45 4525 3928, email: stolu at dtu.dk or from Assistant Professor Dimitrios Papageorgiou, email: dimpa at elektro.dtu.dk. You can read more about DTU Electrical and Photonics Engineering on the web. If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU ? Moving to Denmark. Application procedure Your complete online application must be submitted no later than 19 April 2022 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: * A letter motivating the application (cover letter) * Curriculum vitae * Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale * A project proposal for the position (max 2 pages). Proposals can include a research statement, a short plan related to the position, a plan for publications and research risk management. * Optional: * A list of scientific and technical publications, awards and certifications that are relevant for the vacancy. * Up to 3 relevant publications in related scientific fields. * Up to 3 reference letters. Candidates will be selected based on their merits in the fields related to the expected area of expertise. The committee will evaluate all applications, and the top-ranked candidates will be invited for interviews. Note that your data will be made available to the TU/e partners for the purpose of conducting the assessment of all candidates. You may apply prior to ob?tai?ning your master's degree but cannot begin before having received it. Applications via email or postal services will not be considered. Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion, or ethnic background are encouraged to apply. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN?s 17 Sustainable Development Goals. Hans Christian ?rsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world. Best regards / Med Venlig Hilsen, Silvia Tolu Associate Professor Neuro-Robotics Team leader https://bioroboticsdtu.wordpress.com/ Associate Editor for Frontiers Neurorobotics Journal Automation and Control Group Department of Electrical and Photonics Engineering Technical University of Denmark ------------------------------------ Richard Petersens Plads Building 326, room 106 2800 Kgs. Lyngby Direct +45 45253928 email: stolu at elektro.dtu.dk Contribute to my RESEARCH TOPIC in Frontiers https://www.frontiersin.org/research-topics/16670 -------------- next part -------------- An HTML attachment was scrubbed... URL: From wduch at umk.pl Sun Mar 20 07:22:48 2022 From: wduch at umk.pl (Wlodzislaw Duch) Date: Sun, 20 Mar 2022 12:22:48 +0100 Subject: Connectionists: =?utf-8?q?_Visiting_Professors=2C_Post-Docs_and_P?= =?utf-8?q?hD_positions_at_the_Nicolaus_Copernicus_University_in_Toru?= =?utf-8?q?=C5=84=2C_Poland?= Message-ID: <2e098fe7-8173-ae3a-217f-1e7e9761b81c@umk.pl> An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Mar 21 04:21:50 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 21 Mar 2022 10:21:50 +0200 Subject: Connectionists: [AIDA] [Courses] Literate models for Computer Vision: Combining vision, language and reading References: Message-ID: <030501d83cfc$b76a93f0$263fbbd0$@csd.auth.gr> COURSE TITLE: Literate models for computer vision: Combining vision, language and reading WEB SITE: https://sites.google.com/view/course-literatemodelsforvision LECTURERS: Dimosthenis Karatzas (dimos at cvc.uab.es ), Ernest Valveny (ernest at cvc.uab.cat ), Lluis Gomez (lgomez at cvc.uab.es ), Ali Biten, Andres Mafla, Ruben Perez, Sergi Garcia ORGANIZER: Computer Vision Centre, Barcelona, Spain CONTENT AND ORGANIZATION: Written information in the world around us is a fundamental cue for a multitude of everyday tasks. From shopping at the supermarket to finding our destination in an unknown urban space, written text helps us perform many tasks that would otherwise be much more complex. Computer vision systems on the other hand, have been practically illiterate for the first half century of their lifetime. Specific research on reading systems has been going on for decades, but the semantic information that image text conveys was not incorporated to higher-level computer vision tasks until very recently. This is gradually changing, afforded by the great success achieved in the field of scene text recognition in recent years. Through this short interactive course, doctoral students will have a chance to reconcile with the state of the art in reading systems, especially scene text recognition, and explore how image text enables us to tackle new and exciting computer vision tasks such as fine-grained image classification, cross-modal retrieval, captioning and visual question answering.. REGISTRATION: Free of charge WHEN: April 4, 2022 - 17.00-19.00 CET and April 6, 2022 - 17:00 - 19:00 CET WHERE: The course will take place in hybrid mode. Onsite attendance is possible at the Computer Vision Centre, Barcelona (limited availability). For ONLINE participants, a link will be provided by the organisers after registration/enrollment. HOW TO REGISTER and ENROLL: Both AIDA and non-AIDA students are encouraged to participate in this short course. If you are an AIDA Student* already, please: Step (a): Register in the course by filing in the form at the Web site of the course AND Step (b): Enroll in the same course in the AIDA course site https://www.i-aida.org/course/vision-and-language-reading-systems-and-multi- modal-representations/ using the "Enroll on this Course" button, which you can find there, so that this course enters your AIDA Certificate of Course Attendance. If you are not an AIDA Student do only step (a). *The International AI Doctoral Academy (AIDA) has 73 members, which are top AI Universities, Research centers and Industries: https://www.i-aida.org/ AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members) Computer Vision Center CONFIDENTIALITY WARNING -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Mon Mar 21 05:56:55 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Mon, 21 Mar 2022 10:56:55 +0100 Subject: Connectionists: =?utf-8?q?CFP_--_Software=2C_System_and_Service_E?= =?utf-8?q?ngineering_--_=28FedCSIS=2722_event=3B_IEEE_=2354150=3B_CORE_ra?= =?utf-8?q?nk_B=3B_70_punkt=C3=B3w_MEiN=3B_HYBRID_event=29?= In-Reply-To: References: Message-ID: CALL FOR PAPERS Track 5: Software, System and Service Engineering (S3E'22; https://fedcsis.org/2022/s3se) Organized within the scope of 2022 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'22; IEEE #54150; CORE rank B; 70 punkt?w MEiN; HYBRID event) ************************** COVID-19 Information ************************ Conference will take place in Sofia Bulgaria, for those who will be able to make it there. For those who will not be able to reach Sofia, online participation will be made available. ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE The S3E track emphasizes the issues relevant to developing and maintaining software systems that behave reliably, efficiently and effectively. This track investigates both established traditional approaches and modern emerging approaches to large software production and evolution. For decades, it is still an open question in software industry, how to provide fast and effective software process and software services, and how to come to the software systems, embedded systems, autonomous systems, or cyber-physical systems that will address the open issue of supporting information management process in many, particularly complex organization systems. Even more, it is a hot issue how to provide a synergy between systems in common and software services as mandatory component of each modern organization, particularly in terms of IoT, Big Data, and Industry 4.0 paradigms. In recent years, we are the witnesses of great movements in the area of software, system and service engineering (S3E). Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods in S3E as a discipline that helps in a support of the whole information life cycle in organization systems. Despite that, one of the hot issues in practice is still how to effectively develop and maintain complex systems from various aspects, particularly when software components are crucial for addressing declared system goals, and their successful operation. It seems that nowadays we have great theoretical potentials for application of new and more effective approaches in S3E. However, it is more likely that real deployment of such approaches in industry practice is far behind their theoretical potentials. The main goal of Track 5 is to address open questions and real potentials for various applications of modern approaches and technologies in S3E so as to develop and implement effective software services in a support of information management and system engineering. We intend to address interdisciplinary character of a set of theories, methodologies, processes, architectures, and technologies in disciplines such as: Software Engineering Methods, Techniques, and Technologies, Cyber-Physical Systems, Lean and Agile Software Development, Design of Multimedia and Interaction Systems, Model Driven Approaches in System Development, Development of Effective Software Services and Intelligent Systems, as well as applications in various problem domains. We invite researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies related to modern approaches in S3E. We express an interest in gathering scientists and practitioners interested in applying these disciplines in industry sector, as well as public and government sectors, such as healthcare, education, or security services. Experts from all sectors are welcomed. TOPICS: Submissions to S3E are expected from, but not limited to the following topics: ? Advanced methodology approaches in S3E ? new research and development issues ? Advanced S3E Process Models ? Applications of S3E in various problem domains ? problems and lessons learned ? Applications of S3E in Lean Production and Lean Software Development ? Total Quality Management and Standardization for S3E ? Artificial Intelligence and Machine Learning methods in advancing S3E approaches ? S3E for Information and Business Intelligence Systems ? S3E for Embedded, Agent, Intelligent, Autonomous, and Cyber-Physical Systems ? S3E for Design of Multimedia and Interaction Systems ? S3E with User Experience and Interaction Design Methods ? S3E with Big Data and Data Science methods ? S3E with Blockchain and IoT Systems ? S3E for Cloud and Service-Oriented Systems ? S3E for Smart Data, Smart Products, and Smart Services World ? S3E in Digital Transformation Track 5 includes technical sessions: ? Cyber-Physical Systems (9th Workshop IWCPS-9) https://www.fedcsis.org/2022/sew-iwcps ? Model Driven Approaches in System Development (7th Workshop MDASD'22) https://fedcsis.org/2022/mdasd ? Software Engineering (42th IEEE Workshop SEW-42) https://www.fedcsis.org/2022/sew-iwcps There is a possibility of selecting extended versions of the best papers presented during the conference for further procedure in the journals: ComSIS, ISI IF(2020) = 1.167, and COLA, ISI IF(2020) = 1.271. FedCSIS'22 KEYNOTE SPEAKERS: * Krassimir Atanassov Bulgarian Academy of Sciences, Sofia, Bulgaria https://scholar.google.com/citations?hl=pl&user=K-vuWKsAAAAJ * Thomas Blaschke University of Salzburg, Salzburg, Austria https://scholar.google.com/citations?user=kMroJzUAAAAJ * Chris Cornelis Ghent University, Ghent, Belgium https://scholar.google.com/citations?hl=pl&user=ln46HlkAAAAJ * Franco Zambonelli University of Modena e Reggio Emilia, Bologna, Italy https://scholar.google.com/citations?hl=pl&user=zxulxcoAAAAJ ZDZISLAW PAWLAK BEST PAPER AWARD: The Professor Zdzislaw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS 2022 are eligible to be considered as the award winners. This award will be granted independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2022/zp_award PAPER PUBLICATION: + Papers should be submitted by May 10, 2022 (strict deadline, no extensions, submission system is open, via EasyChair https://easychair.org/my/conference?conf=fedcsis2022). + Preprints will be published online. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will be posted within the conference Web portal. Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). + ?The Best Paper? award will be granted to the outstanding quality paper presented at AIST?2022. This award will be independent of the Zdzislaw Pawlak Best Paper Award. IMPORTANT DATES: + Paper submission (strict deadline): May 10, 2022, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2022 + Author notification: July 6, 2022 + Final paper submission and registration: July 12, 2022 + Payment (early fee deadline): August 2, 2022 + Conference date: September 4-7, 2022 Please forward this announcement to your colleagues and associates who could be interested in it. TRACK CHAIRS: * Lukovic, Ivan, Unniversity of Belgrade, Serbia * Kardas, Geylani, Ege University International Computer Institute, Turkey Contact: s3e-track at fedcsis.org PROGRAM CHAIRS: ? Bowen, Jonathan, Museophile Ltd., United Kingdom ? Hinchey, Mike (Lead Chair), Lero-the Irish Software Engineering Research Centre, Ireland ? Szmuc, Tomasz, AGH University of Science and Technology, Poland ? Zalewski, Janusz, Florida Gulf Coast University, United States ? Seyed Hossein Haeri, Catholic University of Louvain, Louvain-la-Neuve, Belgium and University of Bergen, Norway Contact: s3e-program at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From dominik.endres at uni-marburg.de Mon Mar 21 07:23:43 2022 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Mon, 21 Mar 2022 12:23:43 +0100 Subject: Connectionists: 4-year postdoc in cognitive science Message-ID: <864989a4-1c86-5b69-be43-5d0c5f56f98c@uni-marburg.de> The research group for Theoretical Cognitive Science of Prof. Dr. Dominik Endres at the Department of Psychology, Philipps Universit?t Marburg, Germany, is currently accepting applications for a ?***? Postdoctoral Researcher **** We expect the successful applicant to independently develop, implement and execute virtual reality experiments for? the validation? of (deep)? learning? and? Bayesian models? of? human behavior? and perception and/or to develop,? implement? and analyze these? models.? Contributions? to scientific publications and regular and active participation in the CRC?s scientific program are required. More details about the project's research directions can be found in these publications: https://dl.acm.org/doi/10.1145/3355401 https://jov.arvojournals.org/article.aspx?articleid=2678770 https://ieeexplore.ieee.org/document/7829376 https://psycnet.apa.org/doi/10.1037/rev0000330 ?The position is offered for a period of 4 years, if no former times of qualification need to be considered. The starting date is as soon as possible. The position is full-time with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13). The position is a part of the project C6 (sensorimotor primitives, collaboratively supervised by Prof. D. Endres, Prof. A. Sch?tz and Prof. A. Schub?) of the DFG-funded ?*** Collaborative Research Center CRC/TRR 135 ?Cardinal Mechanisms of Perception? *** More Information on the CRC can be found at http://www.allpsych.uni-giessen.de/sfb/index_en.html. Formal requirements are a qualified degree (diploma, master or equivalent) in psychology, cognitive science, computer science, engineering or physics (Master, Diploma, or comparable), a completed or nearly completed PhD as well as demonstrable programming experience in a high-level language, e.g. Python. We expect you to be interested in the topic of the project (to be documented in a motivation letter (1 page max), in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.), developing virtual-reality scenarios and technology for research purposes as well as quantitative modelling. Advantageous qualifications are prior exposure to machine learning, Bayesian statistics, experience with human behavioral experiments as well as willingness to acquire basic German language skills. ?The full job advert can be found at https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezernat2/personalabteilung/bewerber/stellen/wissenschaftliche-stellen/fb04-0010-wmz-150422-engl.pdf Please send your application (including a project-specific motivation letter in English, relevant diplomas, curriculum vitae and contact details of two potential referees) mentioning reference no. fb04-0010-wmz-2022 only as a single PDF file to dominik.endres at uni-marburg.de, before 15.04.2022. ?Feel? free? to? contact Prof.? Dr.? Dominik? Endres, mailto:dominik.endres at uni-marburg.de for? more information. -- Prof. Dr. Dominik Endres Theoretische Kognitionswissenschaft - Theoretical Cognitive Science FB 04 Psychologie Tel: 06421-28 23818 From jbaimon at sandia.gov Mon Mar 21 08:22:32 2022 From: jbaimon at sandia.gov (Aimone, James Bradley) Date: Mon, 21 Mar 2022 12:22:32 +0000 Subject: Connectionists: 2022 Neuro-Inspired Computational Elements Conference -- Final Agenda -- March 29-April 1 Virtual! Message-ID: Dear colleagues, The final agenda for NICE 2022 has been published here https://flagship.kip.uni-heidelberg.de/jss/HBPm?mI=235&m=showAgenda This is the 9th annual NICE meeting, and we will be virtual again this year due to global travel considerations related to the COVID-19 pandemic. NICE covers the neuromorphic computing field with parallel considerations of the neuroscience inspiration and application drivers of brain-inspired computing technologies. Keynote talks Stefano Fusi (Columbia University) Jeff Clune (University of British Columbia) Please join us! Brad Aimone 2022 NICE Organizing Committee -------------------------- James Bradley Aimone, Ph.D. Cognitive and Emerging Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov -------------- next part -------------- An HTML attachment was scrubbed... URL: From hugo.o.sousa at inesctec.pt Mon Mar 21 06:09:09 2022 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Mon, 21 Mar 2022 10:09:09 +0000 Subject: Connectionists: =?windows-1252?q?Text2Story=40ECIR=9222_Call_for_?= =?windows-1252?q?Participation?= Message-ID: ++ CALL FOR PARTICIPATION ++ It's just a couple of days until the Text2Story at ECIR?22 workshop (5th International Workshop on Narrative Extraction from Texts). Text2Story'22 will be a hybrid event to take place in Stavanger, Norway and Online (GMT+1). We invite interested researchers in this thematic to join us either in-person or online on the 10th of April. Registrations are open here: https://ecir2022.org/registration/ The workshop program consists of two keynote speakers, Antoine Doucet from the University of La Rochelle, France and Andreas Spitz from the University of Konstanz, Deutschland, and the presentation of 12 research papers. More details are at the conference website: http://text2story22.inesctec.pt ++ Invited Speakers ++ - Antoine Doucet [University of La Rochelle] who will give a talk entitled "Robust and multilingual analysis of historical documents" - Andreas Spitz [University of Konstanz] who will give a talk entitled "We Have the Best Words: From the Web-scale Extraction and Attribution of Quotes to Analysing Negativity in U.S. Political Language" ++ List of Papers ++ - Time for some German? Pre-Training a Transformer-based Temporal Tagger for German [Satya Almasian, Dennis Aumiller and Michael Gertz] - Understanding COVID-19 News Coverage using Medical NLP [Ali Emre, Veysel Kocaman, Hasham Ul Haq and David Talby] - Changing the Narrative Perspective: From Ranking to Prompt-Based Generation of Entity Mentions [Mike Chen and Razvan Bunescu] - EnDSUM: Entropy and Diversity based Disaster Tweet Summarization [Piyush Kumar Garg, Roshni Chakraborty and Sourav Kumar Dandapat] - Simplifying News Clustering Through Projection From a Shared Multilingual Space [Jo?o Santos, Afonso Mendes and Sebastiao Miranda] - Exploring Data Augmentation for Classification of Climate Change Denial: Preliminary Study [Jakub Piskorski, Nikolaidis Nikolaos, Nicolas Stefanovitch, Jens Linge, Bonka Kotseva and Irene Vianini] - Dynamic change detection in topics based on rolling LDAs [Jonas Rieger, Kai-Robin Lange, Jonathan Flossdorf and Carsten Jentsch] - Text2Icons: representing narratives with icon strips [Joana Valente, Al?pio Jorge and S?rgio Nunes] - Comprehensive contextual visualization of a news archive [Ishrat Sami, Tony Russell-Rose and Larisa Soldatova] - Causality Mining in Fiction [Margaret Meehan, Andrew Piper and Dane Malenfant] - Extracting Impact Model Narratives from Social Services? Text [Bart Gajderowicz and Mark Fox] - MARCUS: An Event-Centric NLP Pipeline that generates Character Arcs from Narratives [Sriharsh Bhyravajjula, Ujwal Narayan and Manish Shrivastava] We hope to see you in Stavanger (or online) on the 10th of April. Ricardo Campos, Al?pio Jorge, Adam Jatowt, Sumit Bhatia and Marina Litvak [Text2Story 2022 Workshop Chairs] -------------- next part -------------- An HTML attachment was scrubbed... URL: From yokoya at k.u-tokyo.ac.jp Mon Mar 21 11:44:54 2022 From: yokoya at k.u-tokyo.ac.jp (Naoto Yokoya) Date: Tue, 22 Mar 2022 00:44:54 +0900 Subject: Connectionists: [Conferences] CDCEO 2022 @ IJCAI-ECAI - Call for Papers Message-ID: Apologies for cross-posting ******************************* CALL FOR PARTICIPANTS & PAPERS *2nd workshop on Complex Data Challenges in Earth Observation (CDCEO)in conjunction with IJCAI-ECAI 2022, July 23-29, 2022Vienna, Austria* Website: http://www.iarai.ac.at/cdceo22 *About CDCEO* The Big Data accumulating from remote sensing technology in-ground, aerial, and satellite-based Earth Observation (EO) has radically changed how we monitor the state of our planet. The ever-growing availability of high-resolution remote sensing data increasingly confronts researchers with the unique machine learning challenges posed by characteristic heterogeneity and correlation structures in these data. In this workshop, we will bring together leading researchers from both academia and industry across diverse domains of AI, including experts from AI, big data, remote sensing, computer vision, spatio-temporal data processing, geographic information systems, and weather and climate modeling, as well as other scientists or engineers with a general interest in the application of modern data analysis methods within the EO domain. This workshop is organized as a physical meeting and is part of IJCAI-ECAI 2022, the 31st International Joint Conference on Artificial Intelligence, and the 25th European Conference on Artificial Intelligence. *Workshop Topics* The workshop invites advanced applications and method development in image and signal processing, data fusion, feature extraction, meta-learning, and many more. The topics covered by the workshop theme include but are not limited to: - Trustworthy AI for Earth observation - Physics-informed machine learning for Earth observation - Human-in-the-loop Earth observation data analysis - Edge AI for Earth observation - Vision and language for Earth observation - Fairness and accountability in Earth observation data analysis - Spatio-temporal data processing and analysis - Multi-resolution, multi-temporal, multi-sensor, and multi-modal Earth observation data fusion - Machine learning for weather and climate research - Deep learning and its applications to, e.g., semantic segmentation, scene classification, and feature extraction - Meta learning, including transfer learning, few-shot learning, and active learning - Integration and aggregation of complementary remote sensing measurements - Benchmark datasets with applications to Earth Observation *Important Dates* Submission starts: April 1st, 2022 Workshop paper submission deadline: May 31st, 2022 Notification of paper acceptance: June 15th, 2022 Camera-ready paper submission deadline: June 30th, 2022 Workshop date: July 23-25th, 2022 (exact date TBD) *Submission Information* Authors are invited to submit original papers presenting research, position papers, or papers presenting research in progress that have not been previously published, and are not being considered for publication elsewhere. A blind reviewing process performed by members of the Program Committee will be applied to select papers based on their novelty, technical quality, potential impact, clarity, and reproducibility. Workshop papers will be included in a Workshop Proceedings published by http://ceur-ws.org/. Papers must be formatted in CEUR style guidelines. The page limit is 4 ? 6 pages plus references. At least one of the authors of the accepted papers must register for the workshop for the paper to be included in the workshop proceedings. A link to the submission site will be provided later. *Landslide4Sense Competition * A special session of the workshop will present the winning solutions and highlights from a unique Landslide4Sense competition. Realistic data for training and testing machine learning models has become vitally important for many branches of cutting-edge research in EO. The aim of Landslide4Sense is to promote innovative algorithms for automatic landslide detection using globally distributed remotely sensed images, as well as to provide objective and fair comparisons among different methods. discloses a unique large-scale multi-modal globally distributed benchmark dataset consisting of satellite images with more than 5000 patches on landslide detection. The first three participants with the highest F1 scores will be introduced as winners. In addition, allowing competition participants to provide innovative ideas more freely without being limited to a clear numerical metric, two more selected submissions will be awarded the special prizes. The ranking of these two submissions is based on the evaluation of the methodological descriptions of the introduced method by the Landslide4Sense competition committee as well as international expert reviewers. Please check our workshop website for the link to the competition website where you can find more information on the dataset and the competition deadlines. *Workshop Venue* The workshop is a part of the IJCAI-ECAI 2022 conference. The conference venue is Messe Wien Exhibition and Congress Center, which is one of the most modern exhibitions and conference centers. Messe Wien Hall B, entrance Congress Center Messeplatz 1 A-1020 Vienna Metro stop U2 ?Messe Prater? Please find more information about the conference venue here: https://ijcai-22.org/venue/ *Organizing Committee* - Pedram Ghamisi, Helmholtz-Zentrum Dresden-Rossendorf, Germany and Institute of Advanced Research in Artificial Intelligence, Austria - Aleksandra Gruca, Silesian University of Technology, Poland - Naoto Yokoya, University of Tokyo, Japan; RIKEN Center for Advanced Intelligence Project, Japan - Jun Zhou, Griffith University, Australia - Caleb Robinson, Microsoft AI for Good Research Lab, Redmond, USA - Fabio Pacifici, Maxar Technologies - Pierre-Philippe Mathieu, European Space Agency ?-lab, Italy - Sepp Hochreiter, Institute of Advanced Research in Artificial Intelligence, Austria *Contact* cdceo at iarai.ac.at -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Mon Mar 21 10:44:12 2022 From: info at incf.org (INCF) Date: Mon, 21 Mar 2022 15:44:12 +0100 Subject: Connectionists: New INCF endorsement standard: MBF file format Message-ID: We are pleased to inform you that on January 25 2022, the INCF Standards and Best Practices (SBP) committee endorsed the MBF file format as a standard, with the standard number INCFSN-22-01 . All INCF standards undergo re-review every two years. MBF Bioscience and INCF will work together to further improve the FAIRness of the standard until the next review, including implementation of the governance policy and modification of the standard?s license from the CC-BY-ND-NC to a CC-BY-ND. The committee is pleased to see an open format from a commercial entity go through the endorsement process, and applaud MBF Bioscience for taking this very important step in support of open and FAIR neuroscience. See the community review Read the endorsement statement *Why endorse community standards? * INCF (incf.org) has implemented a formal procedure for evaluating and endorsing community standards and best practices in support of the FAIR principles. Our mission is to make neuroscience more open and FAIR, to ensure that research funds and efforts are well invested, and that neuroscientific findings are robust and replicable. Open community review is a very important step in the process. Quality community standards are necessary to make FAIR resources and processes work, but too many neuroscience communities lack robust standards or have competing incompatible standards. The rapid development of new techniques also means that there is a continuous need for new and updated standards, and that old standards need an active developer and user community keeping them up to date. By endorsing standards, INCF wants to: - Make it easy to find the best, most reliable standard appropriate for your research - Ensure recognition for community members investing their time and effort in standards Similar to other standards, the review criteria include: - Openness - FAIRness - Design, testing, and implementation - Governance - Adoption and use - Stability and support - Extensibility - Comparison (similarity to other standards) -------------- next part -------------- An HTML attachment was scrubbed... URL: From michal.rafal.zareba at gmail.com Mon Mar 21 14:13:00 2022 From: michal.rafal.zareba at gmail.com (=?UTF-8?B?TWljaGHFgiBaYXLEmWJh?=) Date: Mon, 21 Mar 2022 19:13:00 +0100 Subject: Connectionists: Call for Symposia - NEURONUS 2022 IBRO Neuroscience Forum (15-17 October 2022, Krakow, Poland) Message-ID: *On behalf of my colleagues, I would like to invite you to **submit symposia proposals for NEURONUS 2022 IBRO Neuroscience Forum, **which takes place on 15-17 October 2022 in Krakow, Poland. We await your proposals until 1 April 2022. More information can be found here: https://neuronusforum.pl/page/40,call-for-symposia **.* With prominent speakers and unique atmosphere of one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests, and we invest a lot of effort to attract as influential neuroscientists as possible. This year we will host 6 keynote speakers including Lauri Nummenmaa (University of Turku, Finland), Florian Engert (Harvard University, Cambridge, USA) and Marina Bedny (Johns Hopkins University, USA). The remaining names will be announced soon. During the upcoming 12th edition of the conference, we will continue to put* emphasis on development of early-career researchers*. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. To help us achieve this goal, we have opened the *call for symposia*. A symposium should last approximately 90 minutes and be composed of a talk by the Invited Speaker (of post-doc status or higher) and 3-4 talks given by early-career researchers. Early-career speakers may be proposed by the Symposium Organizer. At least two of the early-career speakers must be at pre-doctoral level. The general focus of the symposium should fall within the scope of biological and cognitive neuroscience. Please contact us if more information is needed. We strongly encourage you to join this special initiative and hope to see you in the beautiful scenery of Krakow! On behalf of my colleagues, Michal Zareba Organizing Committee Neuronus 2022 IBRO Neuroscience Forum -------------- next part -------------- An HTML attachment was scrubbed... URL: From mschilli at techfak.uni-bielefeld.de Tue Mar 22 06:01:51 2022 From: mschilli at techfak.uni-bielefeld.de (Malte Schilling) Date: Tue, 22 Mar 2022 11:01:51 +0100 Subject: Connectionists: Join us for the DataNinja Spring School Message-ID: <62D0C5E7-A01D-4FA3-BD25-1D1E2D589CA2@techfak.uni-bielefeld.de> We invite you to our upcoming spring school on the topic of Artificial Intelligence ? perspectives and challenges of real data. The DataNinja Spring School is aimed at PhD students as well as master students or interested researchers from the broad area of Artificial Intelligence and Machine Learning. It is our goal to provide in-depth tutorials on current hot topics which are spanning the spectrum of current Machine Learning approaches with a specific focus on explainable models that allow for inspection. Furthermore, the tutorials are geared towards providing hands-on experiences and empowering the participants to directly apply or transfer methods onto their own tasks or problems. ========================================================== Overview Schedule The Spring School will be held in zoom (register here for a link for the webinar: https://uni-bielefeld.zoom.us/webinar/register/WN_ukHCJRyXTLOAp5KS2xN28A ) Date: 23rd to 25th of March 2022, tutorials as morning sessions (9 AM to 12:30 PM, CET) evening lectures on 23rd and 24th of March at 4:15 PM and there will be a poster session on 23rd of March at 5:15 PM. More information and topics: https://dataninja.nrw/?page_id=762 Tutorial Topics: Explainable AI, Graph Neural Networks, AutoML, Knowledge Graphs, Gaussian Processes. Lectures: - Ethics in AI - Outracing champion GT drivers with deep reinforcement learning, on the recent success of Sony AI in DRL ========================================================== Poster Presentation and Meeting PhDs in ML We will also have a gather.town setup - to meet people, discuss sessions and lectures, and further to host a poster session. You are invited to present your work there (there will be a poster prize - certificate and 300 Euros). For the poster session: This can be your recent findings, current, unfinished and ongoing work, or already an overview of already published work. We would like to ask you to submit a short extended abstract of up to two pages (send it to contact at dataninja.nrw ), until the end of the 22nd of March and a poster for presentation in gather.town until 12 PM on Wednesday, 23rd of March. ========================================================== Further Information For further information, please contact Malte Schilling (mschilli at techfak.uni-bielefeld.de ) and see the website containing more information: https://dataninja.nrw/?page_id=762 For registration (required): https://uni-bielefeld.zoom.us/webinar/register/WN_ukHCJRyXTLOAp5KS2xN28A Organizers: Barbara Hammer (CITEC, Bielefeld University, Germany), Malte Schilling (Machine Learning Group, Bielefeld University) Regards Malte Schilling -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Tue Mar 22 09:05:13 2022 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Tue, 22 Mar 2022 14:05:13 +0100 Subject: Connectionists: CFP- ImageCLEF Coral Annotation Challenge 2022: Test set released Message-ID: Website: https://www.imageclef.org/2022/coral *** CALL FOR PARTICIPATION *** *The 4th Edition of the ImageCLEF Coral Annotation Challenge 2022* Data The increasing use of structure-from-motion photogrammetry for modelling large-scale environments from action cameras attached to drones has driven the next-generation of visualisation techniques that can be used in augmented and virtual reality headsets. It has also created a need to have such models labelled, with objects such as people, buildings, vehicles, terrain, etc. all essential for machine learning techniques to automatically identify as areas of interest and to label them appropriately. However, the complexity of the images makes impossible for human annotators to assess the contents of images on a large scale. Advances in automatically annotating images for complexity and benthic composition have been promising, and we are interested in automatically identify areas of interest and to label them appropriately for monitoring coral reefs. Coral reefs are in danger of being lost within the next 30 years, and with them the ecosystems they support. This catastrophe will not only see the extinction of many marine species, but also create a humanitarian crisis on a global scale for the billions of humans who rely on reef services. By monitoring the changes and composition of coral reefs we can help prioritise conservation efforts. *New for 2022:* Previous editions of ImageCLEFcoral in 2019 and 2020 have shown improvements in task performance and promising results on cross-learning between images from geographical regions. The 3rd edition in 2021 increased the complexity of the task and size of data available to participants through supplemental data, resulting in lower performance than previous years. The 4th edition plans to address these issues by targeting algorithms for geographical regions and raising the benchmark performance. As with the 3rd edition, the training and test data will form the complete set of images required to form 3D reconstructions of the marine environment. This will allow the participants to explore novel probabilistic computer vision techniques based around image overlap and transposition of data points. *Challenge description* Participants will be require to annotate and localise coral reef images by labelling the images with types of benthic substrate together. Each image is provided with possible class types. ImageCLEFcoral 2022 consists of two substaks: - Coral reef image annotation and localisation: https://www.aicrowd.com/challenges/imageclef-2022-coral-annotation-and-l... - Coral reef image pixel-wise parsing: https://www.aicrowd.com/challenges/imageclef-2022-coral-pixel-wise-parsing *Data* The data for this task originates from a growing, large-scale collection of images taken from coral reefs around the world as part of a coral reef monitoring project with the Marine Technology Research Unit at the University of Essex. The images partially overlap with each other and can be used to create 3D photogrammetric models of the marine environment. Substrates of the same type can have very different morphologies, coloUr variation and patterns. Some of the images contain a white line (scientific measurement tape) that may occlude part of the entity.The quality of the images is variable, some are blurry, and some have poor colour balance due to the cameras being used. This is representative of the Marine Technology Research Unit dataset and all images are useful for data analysis. The training set used for 2022 has undergone a significant review in order to rectify errors in classification and polygon shape. Additionally, the 13 substrate types have been refined to help participants understand the results of their analyses. *Important dates* - *06.05.2022*: deadline for submitting the participants runs - *27.05.2021*: deadline for submission of working notes papers by the participants - *5-8.09.2021*: CLEF 2022 , Bologna, Italy *Organising Committee* - Jon Chamberlain ,University of Essex, UK - Antonio Campello ,Wellcome Trust, UK - Adrian Clark ,University of Essex, UK - Alba Garc?a Seco de Herrera ,University of Essex, UK For more details and updates, please visit the task website at: https://www.imageclef.org/2022/coral -------------- next part -------------- An HTML attachment was scrubbed... URL: From oliver at roesler.co.uk Tue Mar 22 18:44:53 2022 From: oliver at roesler.co.uk (Oliver Roesler) Date: Tue, 22 Mar 2022 22:44:53 +0000 Subject: Connectionists: CFP Special Issue on Socially Acceptable Robot Behavior: Approaches for Learning, Adaptation and Evaluation Message-ID: <9a02b039-9143-d8f2-87d8-39884909da93@roesler.co.uk> *CALL FOR PAPERS* **Apologies for cross-posting** * * *Special Issue* on *Socially Acceptable Robot Behavior: Approaches for Learning, Adaptation and Evaluation* in Interaction Studies *I. Aim and Scope* A key factor for the acceptance of robots as regular partners in human-centered environments is the appropriateness and predictability of their behavior. The behavior of human-human interactions is governed by customary rules that define how people should behave in different situations, thereby governing their expectations. Socially compliant behavior is usually rewarded by group acceptance, while non-compliant behavior might have consequences including isolation from a social group. Making robots able to understand human social norms allows for improving the naturalness and effectiveness of human-robot interaction and collaboration. Since social norms can differ greatly between different cultures and social groups, it is essential that robots are able to learn and adapt their behavior based on feedback and observations from the environment. This special issue in Interaction Studies aims to attract the latest research aiming at learning, producing, and evaluating human-aware robot behavior, thereby, following the recent RO-MAN 2021 Workshop on Robot Behavior Adaptation to Human Social Norms (TSAR) in providing a venue to discuss the limitations of the current approaches and future directions towards intelligent human-aware robot behaviors. *II. Submission* 1. Before submitting, please check the official journal guidelines . 2. For paper submission, please use the online submission system . 3. After logging into the submission system, please click on "Submit a manuscript" and select "Original article". 4. Please ensure that you select "Special Issue: Socially Acceptable Robot Behavior" under "General information". ??? The primary list of topics covers the following points (but not limited to): * Human-human vs human-robot social norms * Influence of cultural and social background on robot behavior perception * Learning of socially accepted behavior * Behavior adaptation based on social feedback * Transfer learning of social norms experience * The role of robot appearance on applied social norms * Perception of socially normative robot behavior * Human-aware collaboration and navigation * Social norms and trust in human-robot interaction * Representation and modeling techniques for social norms * Metrics and evaluation criteria for socially compliant robot behavior *III. Timeline* 1. Deadline for paper submission: *March 31, 2022*** 2. First notification for authors: *June 15, 2022* 3. Deadline for revised papers submission: *July 31, 2022* 4. Final notification for authors: *September 15, 2022* 5. Deadline for submission of camera-ready manuscripts: *October 15, 2022* ??? Please note that these deadlines are only indicative and that all submitted papers will be reviewed as soon as they are received. *IV. Guest Editors* 1. *Oliver Roesler* ? Vrije Universiteit Brussel ? Belgium 2. *Elahe Bagheri* ? Vrije Universiteit Brussel ? Belgium 3. *Amir Aly* ? University of Plymouth ? UK 4. *Silvia Rossi* ? University of Naples Federico II ? Italy 5. *Rachid Alami* ? CNRS-LAAS ? France -------------- next part -------------- An HTML attachment was scrubbed... URL: From nasim.sonboli at gmail.com Wed Mar 23 15:33:03 2022 From: nasim.sonboli at gmail.com (Nasim Sonboli) Date: Wed, 23 Mar 2022 13:33:03 -0600 Subject: Connectionists: =?utf-8?q?Call_for_UMAP=E2=80=9922_Theory=2C_Opin?= =?utf-8?q?ion=2C_and_Reflection_=28TOR=29_Position_Papers?= Message-ID: --- Please forward to anyone who might be interested --- --- Apologies for cross-posting --- ----------------------------------------------------------------------------- 30th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP'22) Barcelona, Spain, and Online 4 - 7 July 2022 https://www.um.org/umap2022/ ----------------------------------------------------------------------------- Important Dates: - Submission Deadline: April 15, 2022; - Notification to authors: May 10, 2022; - Camera-ready submission: May 18, 2022; - Conference: July 4-7, 2022; Note: All the deadlines must be intended at 11:59 PM AoE time (Anywhere on Earth) More information in: https://www.um.org/umap2022/call-for-theory-opinion-reflection/ ----------------------------------------------------------------------------- ACM UMAP 2022 is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. Theory, Opinion, and Reflection (TOR) are position papers that critically look at ongoing and emerging research topics, reflections on persistent or fleeting trends in the field, and blue sky future ideas for UMAP research. They offer an opportunity for discussing thought-provoking work relevant to the UMAP community, albeit they are not yet ready to be published as full-length research papers at a refereed conference. Moreover, to mark the 30th year of the UMAP conference, this track encourages papers that consider a broad perspective on how the field has evolved and the challenges and directions that lay ahead. We encourage both qualitative and quantitative historical analyses, and reflections on persistent or fleeting trends in the field, although blue-sky ideas and early-stage works are also welcome, as long as their aim is to foster discussions and collaborations among colleagues. Submissions should have a length of up to 4 pages (excluding references) in the new ACM single-column style and will be published as part of the ACM UMAP 2022 Adjunct Proceedings. More information in: https://www.um.org/umap2022/call-for-theory-opinion-reflection/ ----------------------------------------------------------------------------- UMAP?s General Chairs: umap2022-general at um.org - Alejandro Bellog?n (Universidad Aut?noma de Madrid, Spain) - Ludovico Boratto (University of Cagliari, Italy) - Olga C. Santos (UNED, Spain) ----------------------------------------------------------------------------- Follow UMAP 2022 on Social Media - Twitter: @UMAPconf #umap2022 (https://twitter.com/UMAPconf) - Facebook: https://www.facebook.com/acmumap -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Wed Mar 23 15:40:20 2022 From: cgf at isep.ipp.pt (Carlos) Date: Wed, 23 Mar 2022 19:40:20 +0000 Subject: Connectionists: CFP: Classification and Data Science in the Digital Age - IFCS 2022 Message-ID: <25e827c5-b561-9771-374f-690d6604f206@isep.ipp.pt> Call for Papers -------------------------------------------- Deadline Submission of Single Abstracts: March 31st, 2022 -------------------------------------------- IFCS 2022 Classification and Data Science in the Digital Age 17th Conference of the International Federation of Classification Societies 19th-23rd July 2022 ? Porto, Portugal Conference website: https://ifcs2022.fep.up.pt/ Write to us at: ifcs2022 at fep.up.pt We are proud to announce the keynote speakers that have already confirmed their participation to the IFCS 2022 Conference: -Genevera Allen (USA) -Charles Bouveyron (FR) -Dianne Cook (AUS) -Jo?o Gama (PT) -------------------------------------------- Publications -------------------------------------------- -Pre-conference Proceedings (6-8 page papers) in the Springer Series: "Studies in Classification, Data Analysis, and Knowledge Organization" -Post-conference Special Issues: -Advances in Data Analysis and Classification (ADAC) -Journal of Classification -Machine Learning -EURO Journal on Computational Optimization -------------------------------------------- Conference topics -------------------------------------------- -Big Data -Biplots -Clustering, Classification and Discrimination -Compositional Data Analysis -Computer Graphics and Visualization -Data Science -Data Streams -Databases and Data Management -Deep Learning -Dependence Modelling and Copulas -Dimension Reduction -Formal Concept Analysis -Functional Data Analysis -Generalized Linear Models -Image Analysis and Computer Vision -Information-theoretic Statistical Modelling and Model Selection -Knowledge Representation and Discovery -Machine Learning -Mathematical Foundations of Data Science -Matrix Factorization -Meta-learning -Missing Data Handling -Model-based Clustering -Modelling -High-Dimensional and Complex Data -Natural Language Processing -Optimization in Classification and Clustering -Pattern Recognition -Robust Methods -Social Network Analysis -Spatial Data Analysis -Statistical and Econometric Methods -Statistical Learning and Data Mining -Symbolic Data Analysis -Text Mining -Time Series Analysis -Web Mining with Applications in -Archaeology -Astronomy -Biology -Business and Management -Economics -Education -Engineering -Finance -Geosciences -Industry -Linguistics -Marketing -Medicine and Health Care -Musicology -Psychology -Risk Management -Social Sciences -------------------------------------------- Important dates: -------------------------------------------- March 31st, 2022 - Deadline Submission of Single Abstracts April 14th, 2022 - Notification to Single Abstract Authors April 30th, 2022- Early registration deadline June 15th, 2022- Standard registration deadline after June 15th, 2022 - Late registration deadline We look forward to meeting you in Porto in July 2022 ! Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From chunzhiyi at hit.edu.cn Wed Mar 23 20:10:58 2022 From: chunzhiyi at hit.edu.cn (=?UTF-8?B?6KGj5rez5qSN?=) Date: Thu, 24 Mar 2022 08:10:58 +0800 (GMT+08:00) Subject: Connectionists: =?utf-8?q?=5Bjournals=5D2nd_CFP=3A_=22Sensing=2C_?= =?utf-8?q?Estimating=2C_and_Analyzing_Human_Movements_for_Human=E2=80=93R?= =?utf-8?q?obot_Interaction=22?= Message-ID: <1054a63b.19ee.17fb943200f.Coremail.chunzhiyi@hit.edu.cn> Dear Colleagues, We would like to announce a new SI for"Sensing, Estimating, and Analyzing Human Movements for Human?Robot Interaction" in sensors. Recent advances in human?robot interaction (HRI) are playing an increasingly pivotal role in a wide spectrum of robots, ranging from household to industrial, and from virtual interaction to closely physical collaboration. Due to the core function in HRI systems, numerous efforts and intensive attentions are paid to sensing, estimating, and analyzing the continuous and high-dimensional human movements so as to semantically decode and reflect motor intent and even latent beliefs of human motor control. The purpose of this Special Issue is therefore to describe the state of the art in human neuromuscular and cognitive behaviors reflected by human movements and to present the challenges associated with leveraging such knowledge in human-centered design and control of HRI systems. This Special Issue aims to present the latest results and emerging algorithmic techniques of sensing, estimating, and analyzing human movements in human?robot interaction. This fits the scope of Sensors as algorithms are used to process the information collected by sensors and sensor networks. Prof. Dr. Feng Jiang Prof. Dr. Jie Liu Dr. Chunzhi Yi Guest Editors Key words: Human?robot interaction Human movement analysis Human augmentation Inner belief estimation Neuromuscular control Human intent perception Bio-inspired design and control of robots You can find the website of the SI at https://www.mdpi.com/journal/sensors/special_issues/Sensing_Estimating_Analyzing_HRI Best, YI Chunzhi -------------- next part -------------- An HTML attachment was scrubbed... URL: From moritz.grosse-wentrup at univie.ac.at Wed Mar 23 15:47:37 2022 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Wed, 23 Mar 2022 20:47:37 +0100 Subject: Connectionists: Support for Ukrainian doctoral students in computer science at the University of Vienna Message-ID: Dear all, The Doctoral School for Computer Science (DoCS) at the University of Vienna (https://docs.univie.ac.at/) supports Ukrainian doctoral students in computer science (who are currently enrolled in a Ukrainian university) with 6-month stipends to continue their doctoral studies in Vienna. If you would like to apply for such a stipend, please send an email to uadocs2022 at univie.ac.at including a CV and a brief description of your dissertation topic. We will then contact you asap regarding further details. We ask for your understanding though that our funds may not cover stipends for all applicants. For other initiatives, please also see https://scienceforukraine.eu/ On behalf of the DoCS and the Faculty of Computer Science, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Kolingasse 14-16, Room 02.49 A-1090 Wien, Austria moritz.grosse-wentrup at univie.ac.at +43-1-4277-79610 http://neural.engineering/ From chengchenghuang11 at gmail.com Wed Mar 23 22:29:57 2022 From: chengchenghuang11 at gmail.com (Chengcheng Huang) Date: Wed, 23 Mar 2022 22:29:57 -0400 Subject: Connectionists: Computational & Cognitive Neuroscience Summer School application open! Message-ID: Applications are open for the 11th Computational and Cognitive Neuroscience Summer School (CCNSS), which will be held from *June 26 to July 17, 2022*, at *Suzhou, China*. Online application: https://www.csh-asia.org/?content/1239 Application deadline: *April 30, 2022* About CCNSS: Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. More details can be found at the course website https://www.ccnss.org. Organizers: Dora Angelaki, New York University Christopher Honey, Johns Hopkins University Chengcheng Huang, University of Pittsburgh Xiao-Jing Wang, New York University Guangyu Robert Yang, Massachusetts Institute of Technology Faculty: Dani Bassett, University of Pennsylvania Carlos Brody, Princeton University Bob Desimone, Massachusetts Institute of Technology Angela Langdon, National Institute of Mental Health Songting Li, Shanghai Jiao Tong University Yunzhe Liu, Chinese Institute for Brain Research Yuanyuan Mi, Chongqing University Tirin Moore, Stanford University Srdjan Ostojic, ?cole normale sup?rieure Anna Schapiro, University of Pennsylvania Kim Stachenfeld, DeepMind -------------- next part -------------- An HTML attachment was scrubbed... URL: From yaser.amd at gmail.com Thu Mar 24 01:42:39 2022 From: yaser.amd at gmail.com (Yaser Jararweh) Date: Thu, 24 Mar 2022 01:42:39 -0400 Subject: Connectionists: Special Issue on Emerging Information Processing and Management Paradigms: Edge Intelligence, Federated Learning and Blockchain, IP&M Journal Elsevier Message-ID: *Special Issue on Emerging Information Processing and Management Paradigms: Edge Intelligence, Federated Learning, and Blockchain * *A Special Issue for Information Processing & Management (IP&M), Elsevier* *Note*: This special issue is a Thematic Track at IP&MC2022 conference, The authors of accepted papers will be obligated to participate in IP&MC 2022 and present the paper to the community to receive feedback. *For more information about IP&MC2022, please visit* *https://www.elsevier.com/events/conferences/information-processing-and-management-conference* *.* *IP&MC2022 will take during 20-23 October 2022 | Xiamen, China * *Call-for-Papers* *Aims and Scope:* Our ever-increasing ability to allocate, process, and extract valuable information at the network's edge triggered many modern applications like autonomous vehicles, network softwarization, smart cities applications, connected health systems, and industrial IoT, etc. However, such applications require high communication latency with real-time response and trustworthy models. Decentralizing the data analytics beyond the traditional cloud silos is critical, with several requirements to be accommodated. The recent emerging edge/fog capacities as a supporting and complementary infrastructure for the centralized cloud systems provide a golden opportunity by harnessing decentralized machine intelligence abilities to make decisions in the right place and time. Moreover, the emergence of distributed machine learning techniques with specific applications of Federated Learning improves user data privacy and trust throughout the complete system being applied. A futuristic paradigm spear-headed known as Edge Intelligence (EI) is taking shape so that AI/ML services occur close to where data is captured. EI is expected to improve the agility of big data services and leverage resources located at the edge of the network and along the continuum between the cloud and the IoT. Nevertheless, addressing the deployment complexity, security, privacy, and trust of the edge resources is of paramount importance. Also, achieving this vision required synergizing the border communication system advances, including big data, distributed machine learning, Blockchain technology, and privacy-preserving federated learning. The main objective of this track is to solicit papers at the intersection of these technologies. This track will provide a venue for researchers, scientists, industry experts, and practitioners to share their novel research results on recent advances in Edge Intelligence, Federated Learning, and Blockchain architectures and applications. High-quality research contributions describing original and unpublished constructive, empirical, experimental, and theoretical work in EI are invited to submit their timely findings. *Recommended Topics:* Topics to be discussed in this track include (but are not limited to) Architectures and Applications in the following: - Distributed and federated machine learning in edge computing - Theory and Applications of EI - Middleware and runtime systems for EI - Programming models compliant with EI - Scheduling and resource management for EI - Data allocation and application placement strategies for EI - Osmotic computing with edge continuum, Microservices and MicroData architectures - ML/AI models and algorithms for load balancing - Theory and Applications of federated learning - Federated learning and privacy-preserving large-scale data analytics - MLOps and ML pipelines at edge computing - Transfer learning, interactive learning, and Reinforcement Learning for edge computing - Modeling and simulation of EI and edge-to-cloud environments - Security, privacy, trust, and provenance issues in edge computing - Distributed consensus and blockchains at edge architecture - Blockchain networking for Edge Computing Architecture - Blockchain technology for Edge Computing Security - Blockchain-based access controls for Edge-to-cloud continuum - Blockchain-enabled solutions for Cloud and Edge/Fog IoT systems - Forensic Data Analytics compliant with EI *Important Dates* Thematic track manuscript submission due date; authors are welcome to submit early as reviews will be rolling *June 15, 2022* Author notification July 31, 2022 IP&MC conference presentation and feedback October 20-23, 2022 Post conference revision due date, but authors welcome to submit earlier January 1, 2023 *Track Editors:* - Yaser Jararweh, Duquesne University, USA (yaser.amd at gmail.com) (Managing Editor) - Feras Awaysheh, University of Tartu, Estonia (feras.awaysheh at ut.ee) - Moayad Aloqaily, MBZUAI, UAE(maloqaily at ieee.org ) - Nadra Guizani, University of Texas Arlington, USA ( nadra.guizani at uta.edu) - Yuli Yang, University of Lincoln, United Kingdom (yyang at lincoln.ac.uk) * Submission Guidelines* Submit your manuscript to the Special Issue category (*VSI: IPMC2022 EMERGING*) through the online submission system of Information Processing & Management: https://www.editorialmanager.com/ipm/ Authors will prepare the submission following the Guide for Authors on IP&M journal at ( https://www.elsevier.com/journals/information-processing-and-management/0306-4573/guide-for-authors). All papers will be peer-reviewed following the IP&MC2022 reviewing procedures. The authors of accepted papers will be obligated to participate in IP&MC 2022 and present the paper to the community to receive feedback. The accepted papers will be invited for revision after receiving feedback on the IP&MC 2022 conference. The submissions will be given premium handling at IP&M following its peer-review procedure and, (if accepted), published in IP&M as full journal articles, with also an option for a short conference version at IP&MC2022. Please see this infographic for the manuscript flow: https://www.elsevier.com/__data/assets/pdf_file/0003/1211934/IPMC2022Timeline10Oct2022.pdf For more information about IP&MC2022, please visit: https://www.elsevier.com/events/conferences/information-processing-and-management-conference -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Wed Mar 23 22:34:01 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Wed, 23 Mar 2022 22:34:01 -0400 Subject: Connectionists: CfP Hybrid ISWC 2022 - Call for Semantic Web Challenge Proposals: <2 Days Left to Submit* Message-ID: *CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present the latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. A great way to advance the state of the art in a given domain is to create competition. We invite you to propose an ISWC 2022 Challenge, in which you define an open competition on a problem of your choice within the Semantic Web domain. Call for Semantic Web Challenge Proposals: https://iswc2022.semanticweb.org/index.php/semantic-web-challenge-proposals/ Deadline: Thursday, 24th March, 2022, 23:59 AoE (Anywhere on Earth) Semantic Web Challenge Chairs: - Catia Pesquita, LASIGE, Faculdade de Ci?ncias, University of Lisbon clpesquita at fc.ul.pt - Daniele Dell?Aglio, Aalborg University, Denmark dade at cs.aau.dk Follow us on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Mar 24 04:12:30 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 24 Mar 2022 10:12:30 +0200 Subject: Connectionists: =?utf-8?q?RLive_e-Lecture_by_Prof=2E_Jens_Kober?= =?utf-8?q?=3A_=E2=80=9CRobots_Learning_=28Through=29_Interactions?= =?utf-8?q?=E2=80=9D=2C_5th_April_2022_17=3A00-18=3A00_CET=2E_Upcom?= =?utf-8?q?ing_AIDA_AI_excellence_lectures?= References: <00b701d83ea6$e188ecd0$a49ac670$@csd.auth.gr> Message-ID: <02cc01d83f56$e8f160a0$bad421e0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Jens Kober (TU Delft, Netherlands), a prominent AI & Robotics researcher internationally, will deliver the e-lecture: ?Robots Learning (Through) Interactions?, on Tuesday 5th April 2022 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/s/92075053612 & Passcode: 148148 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE , Humane AI Net , TAILOR , VISION , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Jan Peters (Technische Universitaet Darmstadt, Germany), ?Robot Learning?, 10th May 2022 17:00 ? 18:00 CET. 2. Prof. Luc De Raedt (KU Leuven, Belgium), ?Probabilistic Logics to Neuro-Symbolic Artificial Intelligence?, 7th June 2022 17:00 ? 18:00 CET. More lecture infos in: http://www.i-aida.org/ai-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe, J. Stefanowski -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From hrvoje.stojic at protonmail.com Thu Mar 24 04:45:31 2022 From: hrvoje.stojic at protonmail.com (Hrvoje Stojic) Date: Thu, 24 Mar 2022 08:45:31 +0000 Subject: Connectionists: 5th EADM Summer School: Learning and decision making, 4-8 July, 2022 Message-ID: SAVE THE DATE! Date: 4-8 July, 2022 Location: Universitat Pompeu Fabra, Barcelona, Spain Theme: Learning and decision making Eligible: Early career researchers Applications open until: 15th April 2022 Further details available at: [https://ldmss.org](https://ldmss.org/) The 5th EADM Learning and Decision Making summer school will take place from the 4th to the 8th of July and will cover a wide range of topics related to learning and decision making, including reinforcement learning, sampling biases, decisions from experience, information aggregation, function learning, category learning and social learning.Participants will receive advanced training and hands-on tutoring from experts in the field and will get feedback on their latest research ideas in poster sessions. The academic syllabus will be complemented with social activities in and around Barcelona. Applications will remain open until the 15th of April! Confirmed faculty include: Maarten Speekenbrink (University College London) Kinneret Teodorescu (Technion ? Israel Institute of Technology) Mikhail Spektor (Universitat Pompeu Fabra) Pantelis P. Analytis (University of Southern Denmark) Antonia Krefeld-Schwald (Erasmus University) Hrvoje Stojic (Secondmind) Emmanouil Konstantinidis (Warwick University) Sophie Bavard (University of Hamburg) Gael Le Mens (Universitat Pompeu Fabra) More coming soon! ----------------------------- Hrvoje Stojic, PhD Web: [https://hstojic.re/](http://hstojic.re/) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2022_eadm_A3_poster_forweb.png Type: image/png Size: 1476405 bytes Desc: not available URL: From hongzhi.kuai at gmail.com Thu Mar 24 05:29:02 2022 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Thu, 24 Mar 2022 18:29:02 +0900 Subject: Connectionists: WIJ-Special Issue: 20 Years of Web Intelligence Message-ID: Web Intelligence Journal *Special Issue: 20 Years of Web Intelligence* https://www.iospress.com/catalog/journals/web-intelligence The Web Intelligence (WI) journal celebrates its 20th anniversary (2022) and the Web Intelligence and Intelligence Agent Technology (WI-IAT) conference celebrates its 20th anniversary as well (2021). We will recognize the anniversary year of Web Intelligence journal with a special issue aimed at an in-depth review of our research field and a visionary exploration of its future prospects. WI is a dynamic field with flourishment over the past 20 years. WI has always been closely entwined with, and contributed to, all the latest developments in AI, especially for the future of the highly connected world, which makes use of the power of human ingenuity and man-made networks to create a better world. We continually promote the key theme: *WI = AI in the Connected World*, the field of exploring how advanced intelligence impacts the Web of People, Web of Trust, Web of Things, Web of Data, Web of Agents, and emerging Web in health and smart living in the 5G Era. While WI further evolves, many new ideas, methodologies, and techniques will continue to emerge with the contributions of all the researchers in the field. We therefore launch an open call for: A) In-depth state-of-the-art papers focusing on current progress and challenges on AI in the connected world; B) Broad survey papers focusing on important applications of WI, aimed at assessing the effectiveness of WI-based techniques and/or methodologies; C) Visionary papers addressing the future of WI-based systems and the impact of WI on technology and society; D) Short position papers on matters in general interest of the broad WI community. All papers will undergo a fast-track peer-review process, adhering to our usual quality standards. The five best papers falling into Categories A, B, and C above will be published in volume 20, issue 4 of Web Intelligence, together with the most relevant position papers in Category D. Space will be reserved in subsequent issues of the journal for any remaining papers considered to be suitable for publication. The best papers will be awarded with ?Best Article in WI 20Y Anniversary? and the authors will be invited to deliver keynote talks on the work in the WI-IAT 2022 conference ( https://www.wi-iat.com/wi-iat2022/). Only *Categories A-B-C *papers submitted by *August 1st, 2022 *will be considered for the award (papers received after this deadline may still be considered for the special issue or for the subsequent issues, but not for the award). Category D *position papers *should be submitted by *October 1st, 2022.* Submission Instructions: Authors are requested to submit their articles electronically following the instructions on https://www.editorialmanager.com/wi/default1.aspx. Authors should clearly specify in the cover letter that their paper is submitted to the anniversary issue, as well as the category (A, B, C, or D) to which it belongs to. The maximum length for papers in Categories A-B-C is 35 pages, while the maximum length for position papers is 10 pages, both in double space. Guest Editors * Yuefeng Li, Queensland University of Technology, Australia * Jiming Liu, Hong Kong Baptist University, HK, China * Gabriella Pasi, University of Milano-Bicocca, Italy * Xiaohui Tao, University of Southern Queensland, Australia * Ning Zhong, Maebashi Institute of Technology, Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From marius.bilasco at univ-lille.fr Thu Mar 24 08:42:39 2022 From: marius.bilasco at univ-lille.fr (Ioan Marius BILASCO) Date: Thu, 24 Mar 2022 13:42:39 +0100 Subject: Connectionists: [jobs] PhD opportunity - Spatio-temporal augmentation models for motion pattern learning - AI_PhD@Lille, France Message-ID: <10b0a8a2-a4b5-8f7a-b0fc-1079a2497faa@univ-lille.fr> The FOX team from the CRIStAL laboratory (UMR CNRS), Lille France is looking to recruit a PhD student starting on *October 1st 2022* on the following subject : *Spatio-temporal data augmentation models for motion pattern learning using deep learning: applications to facial analysis in the wild* The FOX research group is part of the CRIStAL laboratory (University of Lille, CNRS), located in Lille, France. We focus on video analysis for human behavior understanding. Specifically, we develop spatio-temporal models of motions for tasks such as abnormal event detection, emotion recognition, and face alignment. Our work is published in major journals (Pattern Recognition, IEEE Trans. on Affective Computing) and conferences (WACV, IJCNN). This PHD thesis will be funded in the framework of the *AI_PhD at Lille*program. http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/ The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly net salary is around *1800*?, including benefits (health insurance, retirement fund, and paid vacations). The position is located in *Lille, France*. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. *Abstract*: Facial expression analysis is a well-studied field when dealing with segmented and constrained data captured in lab conditions. However, many challenges must still be addressed for building in-the-wild solutions that account for various motion intensities, strong head movements during expressions, the spotting of the subsequence containing the expression, partially occluded faces, etc. In recent years, learned features based on deep learning architectures were proposed in order to deal with these challenges. Deep learning is characterized by neural architectures that depend on a huge number of parameters. The convergence of these neural networks and the estimation of optimal parameters require large amounts of training data, especially when dealing with spatio-temporal data, particulary adequate for facial expression recognition. The quantity, but also the quality, of the data and its capacity to reflect the addressed challenges are key elements for training properly the networks. Augmenting the data artificially in an intelligent and controlled way is an interesting solution. The augmentation techniques identified in the literature are mainly focused on image augmentation and consist of scaling, rotation, and flipping operations, or they make use of more complex adversarial training. These techniques can be applied at the frame level, but there is a need for sequence level augmentation in order to better control the augmentation process and ensure the absence of temporal artifacts that might bias the learning process. The generation of dynamic frontal facial expressions has already been addressed in the literature. The goal of this Ph.D. is to conceive new space-time augmentation methods for unconstrained facial analysis (involving head movements, occultations, etc.). Attention should be paid in assessing the quality standards related to facial expression requirements: stability over time, absence of facial artifacts, etc. More specifically, the Ph.D. candidate is expected to conceive augmentation architectures that address various challenges (motion intensities, head movements) while maintaining temporal stability and eliminating facial artifacts. More details are available here : https://bit.ly/staugm_motion Candidates must hold a Master degree in Computer Science, Statistics, Applied Mathematics or a related field. Experience in one or more of the following is a plus: ? image processing, computer vision; ? machine learning; ? research methodology (literature review, experimentation?). Candidates should have the following skills: ? good proficiency in English, both spoken and written; ? scientific writing; ? programming (experience in C++ is a plus, but not mandatory). We look forward to receiving your application/as soon as possible/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From calendarsites at insticc.org Thu Mar 24 13:15:52 2022 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Thu, 24 Mar 2022 17:15:52 -0000 Subject: Connectionists: [CFP] New Submission Opportunity :: Smart Business Technologies 2022 (April 21, 2022) Message-ID: <006501d83fa2$d6c0c8c0$84425a40$@insticc.org> CALL FOR PAPERS 19th International Conference on Smart Business Technologies **Submission Deadline: April 21st, 2022** https://icsbt.scitevents.org/ July 14 - 16, 2022 Lisbon, Portugal Important Note: The conference will be held in Lisbon but we are open to accept online presentations in case the participants can't attend the conference. Dear Colleagues, We would be very pleased to receive a regular or a position paper submission from you, with recent results, to be presented at ICSBT 2022 until the 21st of April 2022. The 19th International Conference on Smart Business Technologies (formerly known as ICE-B - International Conference on e-Business), aims at bringing together researchers and practitioners who are interested in e-Business technology and its current applications. The scope of the conference covers low-level technological issues, such as technology platforms, internet of things and web services, but also higher-level issues, such as business processes, business intelligence, value setting and business strategy. Furthermore, it covers different approaches to address these issues and different possible applications with their own specific needs and requirements on technology. These are all areas of theoretical and practical importance within the broad scope of e-Business, whose growing importance can be seen from the increasing interest of the IT research community. The conference will be held in cooperation with the ACM Special Interest Group on Management Information Systems and will include in its technical program remarkable distinguished speakers, such as Prof. Henderik A. Proper from the Luxembourg Institute of Science and Technology. In the last years, the conference proceedings have been fully indexed by SCOPUS and also submitted to other indexes like: Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Engineering Index (EI) and Web of Science / Conference Proceedings Citation Index. We hope this interests you, as it would be a great pleasure to count on your participation at our conference. Kind regards, M?nica Saramago ICSBT Secretariat Web: https://icsbt.scitevents.org/ e-mail: ice-b.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From simon.lucas at qmul.ac.uk Thu Mar 24 14:24:06 2022 From: simon.lucas at qmul.ac.uk (Simon Lucas) Date: Thu, 24 Mar 2022 18:24:06 +0000 Subject: Connectionists: Deepmind and EECS PhD studentships @ QMUL Message-ID: We have the following PhD studentships, please note restrictions and deadlines: 1) PhD Studentships in Social interaction, Health and Wellbeing https://www.findaphd.com/phds/program/phd-studentships-in-social-interaction-health-and-wellbeing-school-of-electronic-engineering-and-computer-science-queen-mary-university-of-london/?p5661 (For students meeting UK home status) 2) DeepMind PhD Studentship in AI or Machine Learning: http://eecs.qmul.ac.uk/phd/phd-studentships/deepmind-phd-studentship-in-ai-or-machine-learning/ (for female and Black researchers) -- Simon Lucas Research Scientist, Meta Professor of Artificial Intelligence Electronic Engineering and Computer Science Queen Mary University of London https://scholar.google.com/citations?user=Jz8DDVAAAAAJ&hl=en -------------- next part -------------- An HTML attachment was scrubbed... URL: From isclab.uu at gmail.com Thu Mar 24 18:27:01 2022 From: isclab.uu at gmail.com (ISCL UU) Date: Thu, 24 Mar 2022 23:27:01 +0100 Subject: Connectionists: Two PhD positions at the intersection of Machine Learning and Scientific Computing Message-ID: Applications are invited for 2 PhD positions at the Division of Scientific Computing, Department of Information Technology, Uppsala University. The positions relate to the general research theme of developing machine learning methods for efficient and scalable analysis of scientific experiments. We at the Integrative Scalable Computing Laboratory (ISCL) are also part of the Science for Life Laboratory (SciLifeLab) network and offer a rich and highly interdisciplinary research environment. Please find detailed information about the positions at the following links: Position 1: 1 PhD student in Scientific Computing focusing on Statistical Sampling/Active Learning for Large-Scale Scientific Experiments https://uu.se/en/about-uu/join-us/details/?positionId=481386 Position 2: 1 PhD student in Scientific Computing focusing on Machine Learning for Scalable Parameter Inference https://uu.se/en/about-uu/join-us/details/?positionId=481369 Starting date: Negotiable Deadline: 30 March 2022 We look forward to receiving your applications via our online recruitment system (Varbi). -------------- next part -------------- An HTML attachment was scrubbed... URL: From franrruiz87 at gmail.com Fri Mar 25 05:18:00 2022 From: franrruiz87 at gmail.com (=?UTF-8?Q?Francisco_J=2E_Rodr=C3=ADguez_Ruiz?=) Date: Fri, 25 Mar 2022 09:18:00 +0000 Subject: Connectionists: ICBINB Monthly Seminar Series Talk: Cynthia Rudin Message-ID: Dear all, We are pleased to announce that the third speaker of the *?I Can?t Believe It?s Not Better!? (**ICBINB)* virtual seminar series will be *Cynthia Rudin** (Duke University)*. More details about this series and the talk are below. The *"I Can't Believe It's Not Better!" (ICBINB) monthly online seminar series* seeks to shine a light on the "stuck" phase of research. Speakers will tell us about their most beautiful ideas that didn't "work", about when theory didn't match practice, or perhaps just when the going got tough. These talks will let us peek inside the file drawer of unexpected results and peer behind the curtain to see the real story of *how real researchers did real research*. *When: *April 7th, 2022 at 10am EDT / 4pm CEST *Where: *RSVP for the Zoom link here: https://us02web.zoom.us/meeting/register/tZ0kf-GpqTksH9QNO7jTWhfOYen1kLGkH_Rz *Title:* *Applications Really Matter (And Publishing Them Is Essential For AI & Data Science)* *Abstract: **Many of us want to work on real-world machine learning problems that matter. However, it?s really hard for us to focus on such problems because it is extremely difficult to publish applied machine learning papers in top venues. I will argue that the lack of respect for applied papers has several wide-ranging applications:* *1) Benefits to Science: We are unable to leverage scientific lessons learned through applications if we cannot publish them. Applications should actually be driving ML methods development. It is important to point out that applied papers *are* scientific. A boring bake-off or technical report is not a scientific applied paper. An applied scientific paper provides knowledge that is systematized and generalizes, just like any good scientific paper in any area of science.2) Benefits to the Real World: We publish overly complicated methods when simpler ones would suffice. If we could focus on solving problems rather than developing methods, this issue could vanish. *Much more importantly, if we actually focus on problems that benefit humanity, we might actually solve them.*3) Broadening our Community: By limiting our top venues mainly to methodology papers, we limit our community to those who care primarily about methods development. This further limits our community to those who come from narrow training pipelines. It also limits our field to exclude those whose primary goal is to directly improve the world. A really good applied data scientist from any country should be able to publish in a top tier venue in data science or AI.4) Freeing our Top Scientists: By tying promotions of our top data scientists to publication venues that accept (essentially only) methodology, it means our top scientists cannot focus on real-world problems. This is particularly problematic if one wants to publish a data science paper in an area for which a specialized journal does not exist.My proposed fix is to have tracks in major ML conferences and journals that focus on applications.* *Bio: **Cynthia Rudin is a professor at Duke University. Her goal is to design predictive models that are understandable to humans. She applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability. She is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from AAAI (the ?Nobel Prize of AI?). She is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and AAAI. She is a three-time winner of the INFORMS Innovative Applications in Analytics Award. Her work has been featured in news outlets including the NY Times, Washington Post, Wall Street Journal, and Boston Globe.* For more information and for ways to get involved, please visit us at http://icbinb.cc/, Tweet to us @ICBINBWorkhop , or email us at cant.believe.it.is.not.better at gmail.com. -- Best wishes, The ICBINB Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From chicfung9 at cityu.edu.hk Fri Mar 25 05:45:39 2022 From: chicfung9 at cityu.edu.hk (Dr. Chi Chung Alan FUNG) Date: Fri, 25 Mar 2022 09:45:39 +0000 Subject: Connectionists: =?windows-1252?q?Ph=2ED=2E_Opportunity_in_Hong_Ko?= =?windows-1252?q?ng_=96_Computational_Neuroscience_and_Brain-Inspired_Mac?= =?windows-1252?q?hine_Learning?= Message-ID: The principal investigator (PI) is forming a new laboratory for computational neuroscience in the Department of Neuroscience at the City University of Hong Kong (CityU). His research interest includes 1) computational modeling for neural phenomena, and; 2) brain-inspired machine learning algorithms. He is looking for a Ph.D. student with a relevant background. Ideal candidates should have appropriate knowledge in Neuroscience and proper quantitative skills for mathematical modeling. However, candidates having experience in either Neuroscience or quantitative science and interested in Computational Neuroscience are also welcome. The university and the PI will jointly provide a studentship according to the university?s standard. Candidates can also apply for the Hong Kong Ph.D. Fellowship Scheme ( https://cerg1.ugc.edu.hk/hkpfs/index.html ). CityU is ranked 7th amount the world?s top young universities according to the Nature Index 2021 Young University. To apply, please send your CV with two references and a brief research statement to chicfung9 at cityu.edu.hk. Homepage of the PI: https://www.cityu.edu.hk/neuro/alanfung.htm Living in Hong Kong: https://www.cityu.edu.hk/student-life/living Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Fri Mar 25 12:22:32 2022 From: pubconference at gmail.com (Pub Conference) Date: Fri, 25 Mar 2022 12:22:32 -0400 Subject: Connectionists: CFP - Computational Intelligence and Neuroscience Special Issue Message-ID: Computational Intelligence and Neuroscience Special Issue -Interpretation of Machine Learning: Prediction, Representation, Modeling, and Visualization 2022 https://www.hindawi.com/journals/cin/si/470979/ Potential topics include but are not limited to the following: - Supervised, unsupervised, and reinforcement learning - Classification, clustering, and optimization for big data analytics - Extracting understanding from large-scale and heterogeneous data - Dimensionality reduction and analysis of large-scale and complex data - Deep learning for time series forecasting - Quantifying or visualizing the interpretability of deep neural networks - Stability improvement of deep neural network optimization - Novel machine and deep learning approaches in the applications of image/signal processing, business intelligence, games, healthcare, bioinformatics, and security Publishing date 01 Dec 2022 Status Open Submission deadline 22 Jul 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Mar 26 06:56:02 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 26 Mar 2022 11:56:02 +0100 (CET) Subject: Connectionists: DeepLearn 2022 Spring: regular registration April 15 Message-ID: <963197821.1977152.1648292162998@webmail.strato.com> ****************************************************************** 5th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Spring Guimar?es, Portugal April 18-22, 2022 https://irdta.eu/deeplearn/2022sp/ ***************** Co-organized by: Algoritmi Center University of Minho, Guimar?es Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Regular registration: April 15, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Spring will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, and Bournemouth. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 21 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Spring is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Spring will take place in Guimar?es, in the north of Portugal, listed as UNESCO World Heritage Site and often referred to as the birthplace of the country. The venue will be: Hotel de Guimar?es Eduardo Manuel de Almeida 202 4810-440 Guimar?es http://www.hotel-guimaraes.com/ STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full in vivo online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Kate Smith-Miles (University of Melbourne), Stress-testing Algorithms via Instance Space Analysis Mihai Surdeanu (University of Arizona), Explainable Deep Learning for Natural Language Processing Zhongming Zhao (University of Texas, Houston), Deep Learning Approaches for Predicting Virus-Host Interactions and Drug Response [virtual] PROFESSORS AND COURSES: Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Pretrained Language Model Era Altan ?ak?r (Istanbul Technical University), [introductory] Introduction to Deep Learning with Apache Spark Rylan Conway (Amazon), [introductory/intermediate] Deep Learning for Digital Assistants Jianfeng Gao (Microsoft Research), [introductory/intermediate] An Introduction to Conversational Information Retrieval Daniel George (JPMorgan Chase), [introductory] An Introductory Course on Machine Learning and Deep Learning with Mathematica/Wolfram Language Bohyung Han (Seoul National University), [introductory/intermediate] Robust Deep Learning Lina J. Karam (Lebanese American University), [introductory/intermediate] Deep Learning for Quality Robust Visual Recognition Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics Jennifer Ngadiuba (Fermi National Accelerator Laboratory), [intermediate] Ultra Low-latency and Low-area Machine Learning Inference at the Edge Lucila Ohno-Machado (University of California, San Diego), [introductory] Use of Predictive Models in Medicine and Biomedical Research Bhiksha Raj (Carnegie Mellon University), [introductory] Quantum Computing and Neural Networks Bart ter Haar Romenij (Eindhoven University of Technology), [intermediate] Deep Learning and Perceptual Grouping Kaushik Roy (Purdue University), [intermediate] Re-engineering Computing with Neuro-inspired Learning: Algorithms, Architecture, and Devices Walid Saad (Virginia Polytechnic Institute and State University), [intermediate/advanced] Machine Learning for Wireless Communications: Challenges and Opportunities Yvan Saeys (Ghent University), [introductory/intermediate] Interpreting Machine Learning Models Martin Schultz (J?lich Research Centre), [intermediate] Deep Learning for Air Quality, Weather and Climate Sofia Vallecorsa (European Organization for Nuclear Research), [introductory/intermediate] Deep Generative Models for Science: Example Applications in Experimental Physics Michalis Vazirgiannis (?cole Polytechnique), [intermediate/advanced] Machine Learning with Graphs and Applications Guowei Wei (Michigan State University), [introductory/advanced] Integrating AI and Advanced Mathematics with Experimental Data for Forecasting Emerging SARS-CoV-2 Variants [virtual] Xiaowei Xu (University of Arkansas, Little Rock), [intermediate/advanced] Deep Learning for NLP and Causal Inference Guoying Zhao (University of Oulu), [introductory/intermediate] Vision-based Emotion AI OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by April 10, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by April 10, 2022. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by April 10, 2022. ORGANIZING COMMITTEE: Dalila Dur?es (Braga, co-chair) Jos? Machado (Braga, co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) Paulo Novais (Braga, co-chair) David Silva (London, co-chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022sp/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will get exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2022sp/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Centro Algoritmi, University of Minho, Guimar?es School of Engineering, University of Minho Intelligent Systems Associate Laboratory, University of Minho Rovira i Virgili University Municipality of Guimar?es Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Sun Mar 27 02:41:10 2022 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Sun, 27 Mar 2022 08:41:10 +0200 Subject: Connectionists: Distributed Systems - The next level (29-31 March) Francqui Chair Message-ID: Francqui Chair 29-31 March 2021-202 Web version here: https://www.unamur.be/info/chaire-francqui-2022 The Faculty of Computer Science at UNamur is inviting you to participate in the 2021-2022 Francqui Chair session, which will take place from 29 to 31 March 2022. Distributed Systems - The next level As humans, things, software and AI continue to become the entangled fabric of distributed systems, systems engineers and researchers are facing novel challenges. In this talk, we analyze the role of IoT, Edge, and Cloud, as well as AI in the co-evolution of distributed systems for the new decade. We identify challenges and discuss a roadmap that these new distributed systems have to address. We take a closer look at how a cyber-physical fabric will be complemented by AI operationalization to enable seamless end-to-end distributed systems. Invited speaker : *Professor Schahram Dustdar* - Distributed Systems Group, TU Wien, Austria Professor Schahram DustdarSchahram Dustdar is Full Professor of Computer Science heading the Research Division of Distributed Systems at the TU Wien, Austria. He holds several honorary positions: University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney, University Pompeu Fabra, Barcelona, Spain. From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA. From 1999 ? 2007 he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna (acquired by Engineering NetWorld AG), a venture capital co-funded software company focused on software for collaborative processes in teams. Caramba Labs was nominated for several (international and national) awards: World Technology Award in the category of Software (2001); Top-Startup companies in Austria (CapGemini Ernst & Young) (2002); MERCUR Innovation award of the Austrian Chamber of Commerce (2002). He is co-founder of edorer.com (USA) and sinoaus.net (based in Nanjing, China), where he is the chief-scientist. He is founding co-Editor-in-Chief of ACM Transactions on Internet of Things (ACM TIoT) as well as Editor-in-Chief of Computing (Springer). He is an Associate Editor of IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, ACM Computing Surveys, ACM Transactions on the Web, and ACM Transactions on Internet Technology, as well as on the editorial board of IEEE Internet Computing and IEEE Computer. Dustdar is recipient of multiple awards: IEEE TCSVC Outstanding Leadership Award (2018), IEEE TCSC Award for Excellence in Scalable Computing (2019), TCI Distinguished Service Award 2021 by the IEEE Technical Committee on the Internet (TCI) (2021), ACM Distinguished Scientist (2009), ACM Distinguished Speaker (2021), IBM Faculty Award (2012). He is an elected member of the Academia Europaea: The Academy of Europe, where he is chairman of the Informatics Section, as well as an IEEE Fellow (2016) and an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow and president (2021). Programme 29 March 2022 9:00 - 12:00 am Fundamentals of Distributed Systems - Online 6:00 - 7:00 pm *Inaugural lecture - Professor Schahram Dustdar* Engineering the New Fabric of the Compute Continuum - IoT, Edge, and Cloud - Online Logo Francqui 30 March 2022 9:00 - 12:00 am Understanding the Compute Continuum - Social Compute Units, Internet of Things, Edge, Fog, and Cloud Computing - Online 31 March 2022 9:00 - 12:00 am Towards a novel methodology for engineering Distributed Computing Continuum systems - Online Registration Registration is free but mandatory - Please register here... -------------- next part -------------- An HTML attachment was scrubbed... URL: From Vittorio.Murino at iit.it Sun Mar 27 11:50:50 2022 From: Vittorio.Murino at iit.it (Vittorio Murino) Date: Sun, 27 Mar 2022 17:50:50 +0200 Subject: Connectionists: [jobs] Job Offer in Computer Vision & Machine Learning Message-ID: *JOB OFFER: COMPUTER VISION AND MACHINE LEARNING EXPERT** *** We are hiring talents with skills and experience in computer vision and machine/deep learning to work on highly innovative projects addressing challenging, realistic, yet still open problems in CV&ML and related applications. We are looking for passionate researchers who loves challenges and wants to grow working in a team composed by academia and industry scholars, highly qualified and engaged to study, design, develop and validate image and video analysis methods based on deep learning approaches. Starting from the analysis of the start-of-the-art models, you will be asked to study anddesign deep learning models tailored to tackle, and possibly solve, realistic problems related to domain adaptation and generalization, semi/self/un-supervised learning, learning with imbalance/few data or with (label) noisy data. We aim at tackling actual applicative projects and validating our proposed methods coping with public and proprietary datasets. A further challenge is also to find out effective and efficient deep learning approaches in order to maximize performance while optimizing and containing the computationalcost (memory and processor usage) and the use of computing resources.This target is faced together with hardware specialists, with whom one can work daily side-by-side to jointly support the development of such models. This mix of high-tier academic and industrial fellows create a unique environment and unmissable opportunity for those who really want to make the difference and deploy AI onto the real world. Required qualifications (not all requested, but the more, the better): ?Significant skills and experience in Machine and Deep Learning. ?Significant skills and experience in Computer Vision and Image\Signal Processing. ?Experience in Software development using Python (SciPy, NumPy, OpenCV, Pillow, etc.). ?Experience with development frameworks for machine learning such as TensorFlow/Keras and PyTorch. ?Knowledge on model optimization techniques for latency and memory footprint. ?Knowledge of state-of-the-art DNN architectures such as ResNet, MobileNet, YOLO, etc. ?Knowledge about object detection and classification, human pose estimation, semantic segmentation, forecasting. ?Publication track record on relevant conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, etc.) and/or journals (PAMI, IJCV, CVIU, etc.) ?Problem-solving, analytical and critical thinking skills. ?Excellent communication skills and ability to work in a highly collaborative environment. ?Fluent English, spoken and written. Doctorate studies are a very welcome add-on, even if not mandatory. Place of work: Verona, Italy. If you are interested and meet the above requirements, please, send your CV and other possible relevant information to Prof. Vittorio Murino, vittorio.murino at univr.it. Thank you -- Vittorio Murino ******************************************* Prof. Vittorio Murino, Ph.D. PAVIS - Pattern Analysis & Computer Vision Istituto Italiano di Tecnologia via Enrico Melen 83, Building B, Floor 8 16152 Genova, Italy Mobile: +39 329 6508554 E-mail:vittorio.murino at iit.it Secretary: Sara Curreli email: sara.curreli at iit.it Phone: +39 010 2897420 http://pavis.iit.it ******************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincentthunder2011 at gmail.com Sun Mar 27 12:06:13 2022 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Mon, 28 Mar 2022 00:06:13 +0800 Subject: Connectionists: IEEE GLOBECOM22 - Social Networks Message-ID: [image: GC2022-SAC-Social Networks.jpg] IEEE Global Communications Conference (Globecom 2022) 4?8 December 2022 Rio de Janeiro, Brazil Selected Areas in Communications?Social Networks Symposium Co-Chairs Neeli R. Prasad, TrustedMobi ?VehicleAvatar Inc.?, USA, neeli.prasad at vehicleavatar.com Scope and Motivation Recently, social network research has advanced rapidly with the prevalence of online social applications and mobile social communications systems. Moreover, the ongoing pandemic via contact social networks has caused tremendous human life and economic loss around the world, and infodemic is one of the major social impacts that make people difficult to discriminate trustworthy sources, from false and manipulative information sources. Therefore, researchers are increasingly interested in addressing a wide spectrum of challenges in social networks, such as developing social-aware algorithms for communications systems, identifying the topological common structures and information/influence flows, analyzing the social media and evolutions of social graphs, and exploiting location-based and contextual information embedded in mobile social networks to create innovative applications. Due to the interdisciplinary nature, social networks have also attracted intensive research interests across multiple disciplines, including artificial intelligence, blockchain, big data analytics, information security and privacy protection, psychology, and marketing. In light of the above crucial needs, Selected Areas in Communication Symposium in Social Networks will serve as a forum for researchers and technologists to discuss the state-of-the-art, present their contributions, and set future directions in social networks. Topics of Interest The Social Networks SAC seeks original contributions in the following topical areas, plus others that are not explicitly listed but are closely related: - Infrastructure, platform, protocol design, and optimization for mobile social networks, mobile social clouds, and social Internet-of-Things with Artificial Intelligence - Social-aware network solutions and social network influence on (wireless) communications systems - Cross-layer design for social networks and the underlying communications and network platforms, and subsequent new design paradigm for future (wireless) communications - Network graph modeling, measurements, simulations, and experiments - Analysis of dynamics and control of belief, influence, and rumor propagations in the evolutions of social networks - Data mining, machine learning, information retrieval, signal processing, and artificial intelligence in social media and social contexts - Trusted networking, privacy and security, user behaviors and dynamics, and digital right management, for big data in social networks - Innovative social network applications and services to mobile Internet, multimedia networks, mobile-commerce, cyber-physical systems, and their potential social, economic, and cultural impacts - Multidisciplinary and interdisciplinary research on social networks Important Dates - Paper Submission: 15 April 2022 - Notification: 25 July 2022 - Camera Ready and Registration: 1 September 2022 How to Submit a Paper All papers for technical symposia should be submitted via EDAS. Full instructions on how to submit papers are provided on the IEEE Globecom 2022 website: https://globecom2022.ieee-globecom.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: GC2022-SAC-Social Networks.jpg Type: image/jpeg Size: 112853 bytes Desc: not available URL: From f.errica93 at gmail.com Mon Mar 28 01:52:16 2022 From: f.errica93 at gmail.com (Federico Errica) Date: Mon, 28 Mar 2022 07:52:16 +0200 Subject: Connectionists: [CfP] Deep Learning for Graphs -- ESANN 2022 Message-ID: Call for Papers: "Deep Learning for Graphs" Special Session of the European Symposium on Artificial Neural Networks ? ESANN 2022 5 - 7th October 2022, Bruges, Belgium (and online) Conference Page: https://www.esann.org/ Papers submission deadline: May 9, 2022 (AoE). Papers Submission System: https://www.esann.org/node/6 Description Traditional deep learning approaches have been developed assuming data to be encoded into feature vectors, however many important real-world applications generate data that are naturally represented by more complex structures, such as graphs. Graphs are particularly suited to represent relations between the components constituting an entity, allowing us to effectively describe systems of interacting elements, like social, biological, and technological networks, as well as data where topological variations influence the feature of interest, e.g., the interaction of proteins or molecular compounds. This has motivated a recent increasing interest of the machine learning community in the development of learning models for structured information. The field of graph deep learning, in particular, combines the ability of deep neural networks to learn representations end-to-end with this explicit description of relations in the data. Specifically, the class of models at the heart of graph deep learning, generically called Graph Neural Networks (GNNs), extend and generalize typical convolutional neural networks to process arbitrary graphs. Topics Topics of interest to this session include, but are not limited to: - Graph Neural Networks: theory and applications - Graph representational learning - Graph generation (probabilistic models, variational autoencoders, adversarial learning, etc.) - Graph learning and relational inference - Graph kernels and distances - Scalability, data efficiency, and training techniques of graph neural networks - Deep learning for dynamic graphs and graph sequences - Reservoir computing and randomized neural networks for graphs - Recurrent, recursive and contextual models - Graph datasets and benchmarks - Applications in natural language processing, computer vision (e.g. point clouds), materials science, cheminformatics, computational biology, social networks, etc. Important Dates: Papers submission deadline: May 9, 2022 (AoE). Decision Notification to Authors: by July 19, 2022 Organizers Luca Pasa, University of Padova (IT) Nicol? Navarin, University of Padova (IT) Daniele Zambon, Universit? della Svizzera Italiana (CH) Davide Bacciu, University of Pisa (IT) Federico Errica, NEC Laboratories Europe (DE) From akarargyris at gmail.com Mon Mar 28 02:35:11 2022 From: akarargyris at gmail.com (Alex Karargyris) Date: Mon, 28 Mar 2022 08:35:11 +0200 Subject: Connectionists: Multiple internships in Medical Imaging and Federated Learning at IHU Strasbourg Message-ID: Today?s operating room (OR) has been transformed into a convoluted setting of machines, surgeons, nurses, and patients. Large amounts of data are generated just in a single operation. These data are temporal and multimodal (e.g. endoscopy videos, radiological, physiological, human movement, etc.) providing a rich context of the operation. In this project, the intern will research self-supervision , weak supervision, multimodal fusion methods to segment, classify or analyze medical images such as CT and MRI scans. Federated Learning (FL) is a new technique that has been proposed to circumvent concerns related to privacy and data ownership during machine learning. Our lab is developing infrastructure for rich temporal multi-modal data in the operating room, and we are developing methods that can help us improve efficiency of FL algorithms. The intern will have the opportunity to work with a group of scientists and clinicians and research novel algorithms related to privacy preserving approaches, noisy data and self-supervision in FL settings Preference is given to candidates registered to EU universities. For more information please contact Alexandros Karargyris at alexandros.karargyris (at) ihu-strasbourg.eu More information here: http://camma.u-strasbg.fr/opportunities -------------- next part -------------- An HTML attachment was scrubbed... URL: From cognitivium at sciencebeam.com Mon Mar 28 02:54:34 2022 From: cognitivium at sciencebeam.com (Mary) Date: Mon, 28 Mar 2022 11:24:34 +0430 Subject: Connectionists: Neurofeedback, QEEG, and tDCS workshop registration Message-ID: <202203280654.22S6sa57059508@scs-mx-02.ANDREW.cmu.edu> We're here to help you with your first steps in Neurofeedback, QEEG, and tDCS This is our successive pleasure to announce ScienceBeam?s upcoming comprehensive workshop on Neurofeedback, QEEG, and tES. This workshop will be led by ScienceBeam experts in the shape of hands-on training opportunities and scientific learning classes, on May 12-13, 2022. This all-inclusive workshop will take place in Istanbul, one of the most beautiful and live cities around the world. This will be a great opportunity to gather with researchers and clinicians in this beautiful city, in order to share experiences and information, as well as learning all the details about Neurofeedback, QEEG, and tES techniques.? At the end of this workshop, you will be able to: o Record a reliable and noise-free signal on your own o Import the recorded EEG data in the NeuroGuide software o Generate QEEG report (Brain maps) in the NeuroGuide software o Interpret the QEEG report and detect the abnormalities of the brain on your own o Make a decision about the most suitable Neurofeedback treatment plan according to the QEEG report of the subject o Customize and create Neurofeedback treatment protocols o Run a Neurofeedback treatment session from zero to hero on your own o Run a tES (tDCS, tACS, tPCS, and tRNS) treatment session on your own On the occasion of the big ceremony in Turkey, this workshop will be held with special offers: ? 2-night stay at the Grand Mira hotel ? Group visit to Buyukuda islands ? Group dinner at the IstMarina AVM ? Access to the full scientific program and scientific lectures ? Access to product demos organized throughout the meeting ? Extra %10-%15 discount on the products ? Special payment plans for purchasing devices (Installment payment) ? FREE workshop for buyers of the devices Please bear in mind that due to the current situation of COVID-19, only limited seats are available and the registration deadline is May 3th. For more information and registration, please visit the below link: https://sciencebeam.com/neurofeedback-qeeg-workshop5/ Should you require any further information about the workshop registration process, do not hesitate to contact us: Email: workshop at sciencebeam.com WhatsApp: +905356498587 -------------- next part -------------- An HTML attachment was scrubbed... URL: From simon.lucas at qmul.ac.uk Mon Mar 28 04:11:56 2022 From: simon.lucas at qmul.ac.uk (Simon Lucas) Date: Mon, 28 Mar 2022 08:11:56 +0000 Subject: Connectionists: [CFP] IEEE Conference on Games 2022 Message-ID: Deadline 14th May for aux tracks: ====== (Apologies for cross-posting) We invite submissions to the 2022 IEEE Conference on Games auxiliary tracks; https://ieee-cog.org/2022/). - Short papers (2-4 pages) describe work in progress, smaller projects that are not yet ready to be published as a full paper, or new progress on projects that have been reported elsewhere. - Competition papers (8 pages) describe research related to one of the conference competitions, including the design of new competitions and in particular submissions to existing competitions. - Vision papers (8 pages) describe a vision for the future of the Games field or some part of it, are based on extensive research and include a comprehensive bibliography. Standards for competition papers are as high as for other CoG papers, and standards for vision papers are higher. - Demo papers (2 pages) describe work in progress and will be presented during a demo session. Peer-review is **double-anonymous**. Submission deadlines (which will *NOT* be extended): - 1st March, 2022: Regular Papers (Full Technical Papers) - 14th May, 2022: Auxiliary Papers (Short, Competition, Vision, and Demo) - 14th May, 2022: Travel Grants - 11th June, 2022: Games Industry Talks - 30th June, 2022: Early bird (and author) registration - 21-24th August, 2022: Conference. Conference website: https://ieee-cog.org/2022/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From durda at ubu.es Mon Mar 28 05:58:27 2022 From: durda at ubu.es (=?utf-8?Q?Daniel_Urda_Mu=C3=B1oz?=) Date: Mon, 28 Mar 2022 11:58:27 +0200 Subject: Connectionists: [CFP]: Special Session on Intelligent solutions for cybersecurity systems - CISIS 2022 Message-ID: <10BD99BD-FD0A-4997-9997-44391C78CF28@ubu.es> Call for Papers: "Intelligent solutions for cybersecurity systems" Special Session of the 15th International Conference on Computational Intelligence in Security for Information Systems ? CISIS 2022 6 - 8th September 2022, Salamanca, Spain Conference web site: http://www.2022.cisisconference.eu Papers submission deadline: April 30th, 2022. Acceptance notification: May 20th, 2022. Submission instructions: http://www.2022.cisisconference.eu/paper-submission-publication/ All the accepted papers of CISIS conference (submitted both to the general track and the special sessions) will be considered for its possible inclusion in a special issue of the Logic Journal of the IGPL (Q1). Description In recent years, the fast growth in technology has drastically increased the amount of data generated by people and communication services. We are currently living in a digitalized world in which information and processes come in digital form where new security threats and actors appear thus being mandatory to account for cybersecurity systems. In parallel, Artificial Intelligence (AI) is now being used everywhere in our life, from consumer electronics, vehicles, and smart systems in offices and factories, to various cloud services on the Internet. AI, in particular Machine Learning (ML) and Deep Learning (DL) techniques, are now becoming key technologies that support our lives and society. In this sense, AI arises as a powerful tool, not only to gain insights from data but also to ensure privacy and security of the information and communication services. Additionally, these technologies also increase the chances of being targeted by cyberattacks, thus requiring the development of cutting-edge smarter approaches which help minimise the exposure of our living infrastructure, property, and privacy. This session welcomes recent contributions in all areas connected to machine learning and cybersecurity addressing related issues including, but not limited to: Data security and privacy. Smart security control. Adversarial machine learning. Robustness and resiliency of AI models. XAI (Explainable AI) in cybersecurity. Privacy preserving machine learning. Federated learning for cybersecurity. Data visualisation and visual analytics for cybersecurity. Zero-day attack detection and reaction. Deep learning for cybersecurity. Data fusion methods. Datasets? integration. Cybersecurity forensic analysis. Business Intelligence and Security. Privacy-enhancing technologies and anonymity. AI-based SOARs (Security Orchestration, Automation & Response). AI-based EDRs (End-point Detection and Response). AI-based IDSs (Intrusion Detection Systems). AI-based IRSs (Intrusion Response Systems). AI for cybersecurity. Cybersecutiry for AI-based models: threats, attack generation and countermeasures. AI, Ethics and Law. Papers reporting industry experiences, practical applications and case studies are welcomed in this special session. Special Session Organizers: Dr. Daniel Urda Mu?oz, Universidad de Burgos, Spain, durda at ubu.es Dr. Roberto Mag?n Carri?n, Universidad de Granada, Spain, rmagan at ugr.es Dr. Bernab? Dorronsoro, Universidad de C?diz, Spain, bernabe.dorronsoro at uca.es Dr. Meelis Kull, University of Tartu, Estonia, meelis.kull at ut.ee ________________________________________________________ Dr Daniel Urda Mu?oz Escuela Polit?cnica Superior, Ed. A1 - Campus Vena Avenida de Cantabria s/n, 09006 - Burgos (Spain) UNIVERSIDAD DE BURGOS Tel?fono: (+34) 947 112456 E-mail: durda at ubu.es ________________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Mon Mar 28 10:48:14 2022 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Mon, 28 Mar 2022 16:48:14 +0200 Subject: Connectionists: Atsushi IRIKI speaking on March 31 in Developing Minds global online lecture series Message-ID: <875C853E-A523-43E7-BFDF-9BBE5491BE23@fias.uni-frankfurt.de> Dear colleagues, On March 31, the Developing Minds global online lecture series will feature Atsushi IRIKI, RIKEN Japan: "Self-in-the-world map evolved in the primate brain as a basis of civilized Homo sapiens? The live event will take place via zoom at: 22:00 JST (Japan Standard Time) 15:00 CET (Central European Time) 13:00 UTC (Universal Coordinated Time) 9:00 EST (Eastern Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract After a specific point in history, hominin evolution accelerated to a level that could not be accounted for by natural selection alone, but an alternative mechanism has been proposed based on mutual interaction among neural, cognitive, and ecological niches in a positive feedback loop (triadic niche construction; TNC). Nevertheless, the trigger events for the cognitive revolution of Homo sapiens as well as the reasons for this event being limited to a single species remain unknown. Using a multidisciplinary approach involving psychology, neurobiology, and phenomenology, I will propose a shift in the mechanisms underlying TNC, from TNC- 1 in primates/hominids to TNC-2 in Homo sapiens, to answer these questions. As the primates and hominin brain expanded during TNC-1, latent cognitive capabilities were incubated within its neural framework to be expressed with a simple rewiring among brain areas in TNC-2, a quick and inexpensive process but one that requires a unique set of preconditions to commence. This process was bootstrapped by the advanced function of ?projection,? which enabled humans to recognize the ?self? in particular time and space in the world, allowing the manipulation of this world (in both physical and symbolic dimensions) again in a positive feedback loop. Based on these, a new concept of a somatocentric holistic self will be proposed, represented as a more comprehensive body-in-the-world map in the primate brain, taking into account evolutionary aspects that characterize the human cognition and its implication in the emergence of self-consciousness. Paper: Iriki A, Suzuki H, Tanaka S, Bretas R, Yamazaki Y. (2021). The sapient paradox and the great journey: Insights from cognitive psychology, neurobiology and phenomenology. Psychologia, https://doi.org/10.2117/psysoc.2021-B017. Bio Atsushi IRIKI received his Ph.D. in Neuroscience from Tokyo Medical and Dental University in 1986. He held research associate positions at the Tokyo Medical and Dental University and then at The Rockefeller University (USA). He joined the faculty of Toho University Medical School as an assistant professor and then as an associate professor in Physiology (1991-1999). In 1999, he returned to Tokyo Medical and Dental University as a full professor and chairman of Cognitive Neurobiology. In 2004, Atsushi IRIKI was appointed a head of Laboratory for Symbolic Cognitive Development at RIKEN Institute (first at its Brain Science Institute and then 2018 onward at Center for Biosystems Dynamics Research). He is currently a visiting professor of University College London (UK) and Nanyang Technological University (NTU, Singapore), an adjunct professor of Keio University, a research professor of Kyoto University, a senior fellow of the Canadian Institute for Advanced Research (Canada), founding co-director of RIKEN-NTU Research Centres (Singapore & Japan). Web: https://www.riken.jp/en/research/labs/bdr/symbol_cogn_dev/index.html Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From coralie.gregoire at insa-lyon.fr Mon Mar 28 11:01:30 2022 From: coralie.gregoire at insa-lyon.fr (Coralie Gregoire) Date: Mon, 28 Mar 2022 17:01:30 +0200 (CEST) Subject: Connectionists: The ACM Web Conference 2022 - DEI Grant second round! Message-ID: <1804825156.3961371.1648479690246.JavaMail.zimbra@insa-lyon.fr> [Apologies for the cross-posting, this information is sent to numerous lists you may have subscribed to] Contact us: contact at thewebconf.org *The ACM Web Conference 2022 - DEI Grant second round! more information at https://www2022.thewebconf.org/diversity-equity-inclusion/ 2nd Round for NON-authors - Application deadline: April 8th, 2022 - Decision notification: April 13th, 2022 The ACM Web Conference series is committed to Diversity, Equity, and Inclusion (DEI). In accordance with ACM?s policy (https://www.acm.org/diversity-inclusion), we intend to celebrate the similarities and differences that make our community so innovative and productive by opening up and widening access to the entire conference program of The ACM Web Conference 2022. To reach this goal, we are happy to propose The Web Conference 2022 DEI program, which is also partially supported by a specific donation by Google (https://diversity.google/). This program offers full FREE registrations to the entire conference week. This second round of application is *NOT* suitable for authors, but instead, tailored for the researchers from the Global South who had little or no previous experiences of The Web Conference. The number of available DEI tickets is limited. Each application will be carefully studied by the organizing committee. If you apply to this programme, please wait to be notified of the decision before registering for the conference. Do not hesitate to contact the Committee at dei2022[at]thewebconf.org. We stay available to answer any questions! *Application* Applications are to be sent by email to dei2022[at]thewebconf.org, with the following information inserted directly in the body of your mail (please, do NOT attach any files): - Name - Surname(s) - Email Address - Country of residence - Short statement written in English (up to 2000 characters including whitespaces) containing any information that is relevant to justify and motivate your participation in the DEI program. Note that this statement will be primarily used to assess your eligibility. Data protection As DEI applications may contain sensitive data, we wish to stress that all information concerning these applications will be handled according to the GDPR (https://gdpr-info.eu/) European regulation. In particular, application emails will NOT be transmitted and will be destroyed at the end of the process. ============================================================ Contact us: contact at thewebconf.org - Facebook: https://www.facebook.com/TheWebConf - Twitter: https://twitter.com/TheWebConf - LinkedIn: https://www.linkedin.com/showcase/18819430/admin/ - Website: https://www2022.thewebconf.org/ ============================================== From szadkrud at fel.cvut.cz Mon Mar 28 15:08:57 2022 From: szadkrud at fel.cvut.cz (Rudolf Szadkowski) Date: Mon, 28 Mar 2022 21:08:57 +0200 Subject: Connectionists: [CFP] - Workshop on Self-Organizing Maps (WSOM+) - DEADLINE EXTENSION - July 2022, Prague, Czechia Message-ID: [Apologies for multiple posting] Dear Colleague, We cordially invite you to submit a paper to the upcoming 14th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+ 2022) July 6-8, 2022, Prague, Czechia https://wsom22.fel.cvut.cz/ Important Dates Paper submission: *April 8, 2022* (extended deadline) Notification of provisional acceptance:??? April 30, 2022 Camera-ready papers:??? ??? ??? ??? ??? May 15, 2022 Final acceptance:??? ??? ??? ??? ??? ??? May 22, 2022 Topics: * Data analysis and visualization * Clustering and visualization performance metrics * Time series analysis and signal processing * Mathematical approaches including information theory, mathematical statistics and statistical Machine Learning * Software and hardware implementations * Architectural solutions including hierarchical and growing networks, ensemble models and special metrics * Unsupervised feature selection, extraction and data pre-processing * Interpretable and explainable models * Large-scale data analysis (Big Data) * Unsupervised models in computational neuroscience * Models, experimental investigations and applications of autonomous mental development We also call for and encourage scientific and application-oriented papers that demonstrate the use of the aforementioned methods and models in different areas including but not limited to: Data mining, including stream mining and process mining: * Pattern recognition * Knowledge management * Business intelligence and financial analysis * Anomaly detection and outlier analysis * Industrial applications * Scientific applications * Bioinformatics, biostatistics and applications in biomedicine and healthcare * Telecommunications * Transport optimization * Cognitive modeling * Language modeling * Robotics and intelligent systems * Image processing and vision * Speech processing and text and document analysis Contact: Jan Faigl, Czech Technical University in Prague, Czechia faiglj at fel.cvut.cz Sincerely, WSOM+ 2022 Organizing Committee -- Tato zpr?va byla zkontrolov?na na viry programem Avast Antivirus. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Tue Mar 29 11:47:26 2022 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Tue, 29 Mar 2022 16:47:26 +0100 Subject: Connectionists: [CFP]: EGML-EC@GECCO-2022 Workshop on Enhancing Generative Machine Learning with Evolutionary Computation Message-ID: *CALL FOR PAPERS* *EGML-EC at GECCO-2022* *Workshop on Enhancing Generative Machine Learning with Evolutionary Computation* https://sites.google.com/view/egml-ec2022 *Genetic and Evolutionary Computation Conference (GECCO'22)* *Boston, USA, July 9-13, 2022* *Paper Submission Deadline: 11 April 2022* *Overview and Scope* Deep generative models (DGMs) have become an important research branch in deep learning in machine learning and deep learning. DGMs include a broad family of methods such as generative adversarial networks (GANs), variational autoencoders (VAEs), and autoregressive (AR) models. These models combine the advanced deep neural networks with classical density estimation (either explicit or implicit) for mainly generating synthetic data samples. Although these methods have achieved state-of-the-art results in the generation of synthetic data of different types such as images, speech, text, molecules, video, etc., Deep generative models are still difficult to train. There are still open problems, such as the vanishing gradient and mode collapse in GANs, which limit their performance. Although there are strategies to minimize the effect of those problems, they remain fundamentally unsolved. In the last years, evolutionary computation (EC) and related techniques (e.g. particle swarm optimization) and in the form of Evolutionary Machine Learning approaches have been successfully applied to mitigate the problems that arise when training DGMs, leveraging the quality of the results to impressive levels. Among other approaches, these new solutions include GAN, VAE, and AR training methods based on evolutionary and coevolutionary algorithms, the combination of deep neuroevolution with training approaches, and the evolutionary exploration of the latent space. This workshop aims to act as a medium for debate, exchange of knowledge and experience, and encourage collaboration for researchers focused on DGMs and the EC community. Bringing these two communities together will be essential for making significant advances in this research area. Thus, this workshop provides a critical forum for disseminating the experience in the topic of enhancing generative modeling with EC, to present new and ongoing research in the field, and to attract new interest from our community. *Topics of Interest* Particular topics of interest are (not exclusively): ? Evolutionary and co-evolutionary algorithms to train deep generative models; ? EC-based optimization of hyper-parameters for deep generative models; ? Neuroevolution applied to train deep generative architectures ? Dynamic EC-based evolution of deep generative models training parameters ? Evolutionary latent space exploration ? Real-world applications of EC-based deep generative models solutions ? Multi-criteria adversarial training of deep generative models ? Evolutionary generative adversarial learning models ? Software libraries and frameworks for deep generative models applying EC All accepted papers of this workshop will be included in the Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'22) Companion Volume. *Important dates* *Submission opening:* February 11, 2022 *Submission deadline:* April 11, 2022 *Acceptance notification: *April 25, 2022 *Camera-ready and registration: *May 2, 2022 *Workshop date:* TBC depending on GECCO program schedule (July 9 or 13, 2022) There will be NO EXTENSIONS to any of the deadlines *Instructions for Authors* We invite submissions of two types of paper: ? Regular papers (limit 8 pages) ? Short papers (limit 4 pages) Papers should present original work that meets the high-quality standards of GECCO. Each paper will be rigorously evaluated in a review process. Accepted papers appear in the ACM digital library as part of the Companion Proceedings of GECCO. Each paper accepted needs to have at least one author registered by the author registration deadline. Papers must be submitted via the online submission system https://ssl.linklings.net/conferences/gecco/. Please refer to https://gecco-2022.sigevo.org/Paper-Submission-Instructions for more detailed instructions. As a published ACM author, you and your co-authors are subject to all ACM Publications Policies ( https://www.acm.org/publications/policies/toc), including ACM's new Publications Policy on Research Involving Human Participants and Subjects ( https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects ). *Workshop Chairs* ? *Jamal Toutouh, *Univ. of M?laga (ES) - MIT (USA), jamal at lcc.uma.es ? *Una-May O?Reilly,* MIT (USA), unamay at csail.mit.edu ? *Jo?o Correia, *University of Coimbra (PT), jncor at dei.uc.pt ? *Penousal Machado, *University of Coimbra (PT), machado at dei.uc.pt ? *Sergio Nesmachnow, *Univ. de la Rep?blica (UY), sergion at fing.edu.uy More information at https://sites.google.com/view/egml-ec2022. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Tue Mar 29 20:16:05 2022 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Wed, 30 Mar 2022 00:16:05 +0000 Subject: Connectionists: NEURAL NETWORKS, April 2022 Message-ID: Neural Networks - Volume 148, April 2022 https://www.journals.elsevier.com/neural-networks Improving data augmentation for low resource speech-to-text translation with diverse paraphrasing Chenggang Mi, Lei Xie, Yanning Zhang Multi-dimensional conditional mutual information with application on the EEG signal analysis for spatial cognitive ability evaluation Dong Wen, Rou Li, Mengmeng Jiang, Jingjing Li, ... Yanhong Zhou Discovering Parametric Activation Functions Garrett Bingham, Risto Miikkulainen Biological convolutions improve DNN robustness to noise and generalisation Benjamin D. Evans, Gaurav Malhotra, Jeffrey S. Bowers Joint learning adaptive metric and optimal classification hyperplane Yidan Wang, Liming Yang Dual Global Enhanced Transformer for image captioning Tiantao Xian, Zhixin Li, Canlong Zhang, Huifang Ma Signed network representation with novel node proximity evaluation Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu Cross-modal distribution alignment embedding network for generalized zero-shot learning Qin Li, Mingzhen Hou, Hong Lai, Ming Yang Deep Rival Penalized Competitive Learning for low-resolution face recognition Peiying Li, Shikui Tu, Lei Xu GARAT: Generative Adversarial Learning for Robust and Accurate Tracking Bowen Yao, Jing Li, Shan Xue, Jia Wu, ... Zhiquan Ding Region-aware network: Model human's Top-Down visual perception mechanism for crowd counting Yuehai Chen, Jing Yang, Dong Zhang, Kun Zhang, ... Shaoyi Du Quantifying the reproducibility of graph neural networks using multigraph data representation Ahmed Nebli, Mohammed Amine Gharsallaoui, Zeynep G?rler, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative Exponential synchronization for variable-order fractional discontinuous complex dynamical networks with short memory via impulsive control Ruihong Li, Huaiqin Wu, Jinde Cao Finite-time synchronization of quaternion-valued neural networks with delays: A switching control method without decomposition Tao Peng, Jie Zhong, Zhengwen Tu, Jianquan Lu, Jungang Lou Trade off analysis between fixed-time stabilization and energy consumption of nonlinear neural networks Yuchun Wang, Song Zhu, Hu Shao, Li Wang, Shiping Wen Finite-time stabilization of complex-valued neural networks with proportional delays and inertial terms: A non-separation approach Changqing Long, Guodong Zhang, Zhigang Zeng, Junhao Hu On minimal representations of shallow ReLU networks Steffen Dereich, Sebastian Kassing Low-degree term first in ResNet, its variants and the whole neural network family Tongfeng Sun, Shifei Ding, Lili Guo The emergence of a concept in shallow neural networks Elena Agliari, Francesco Alemanno, Adriano Barra, Giordano De Marzo Evolved explainable classifications for lymph node metastases Iam Palatnik de Sousa, Marley M.B.R. Vellasco, Eduardo Costa da Silva Noise-robust voice conversion with domain adversarial training Hongqiang Du, Lei Xie, Haizhou Li Not every sample is efficient: Analogical generative adversarial network for unpaired image-to-image translation Ziqiang Zheng, Jie Yang, Zhibin Yu, Yubo Wang, ... Bing Zheng Feature-based intelligent models for optimisation of percussive drilling Kenneth Omokhagbo Afebu, Yang Liu, Evangelos Papatheou -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Mar 30 03:13:36 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 30 Mar 2022 10:13:36 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Jens_Kober=3A?= =?utf-8?q?_=E2=80=9CRobots_Learning_=28Through=29_Interactions?= =?utf-8?q?=E2=80=9D=2C_5th_April_2022_17=3A00-18=3A00_CET=2E_Upcom?= =?utf-8?q?ing_AIDA_AI_excellence_lectures?= Message-ID: <00d001d84405$acf014d0$06d03e70$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Jens Kober (TU Delft, Netherlands), a prominent AI & Robotics researcher internationally, will deliver the e-lecture: ?Robots Learning (Through) Interactions?, on Tuesday 5th April 2022 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/s/92075053612 & Passcode: 148148 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE , Humane AI Net , TAILOR , VISION , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Jan Peters (Technische Universitaet Darmstadt, Germany), ?Robot Learning?, 10th May 2022 17:00 ? 18:00 CET. 2. Prof. Luc De Raedt (KU Leuven, Belgium), ?Probabilistic Logics to Neuro-Symbolic Artificial Intelligence?, 7th June 2022 17:00 ? 18:00 CET. More lecture infos in: http://www.i-aida.org/ai-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe, J. Stefanowski -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Wed Mar 30 04:00:01 2022 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Wed, 30 Mar 2022 10:00:01 +0200 Subject: Connectionists: Transatlantic Behavioual Neuroscience Summer School Message-ID: Hello! We would like to inform you that the deadline of applications to Transatlantic Behavioural Neuroscience Summer School is extended until April 5th. *.* Our Transatlantic Behavioural Neuroscience Summer School is designed to embrace and foster these changes. *Our school will be composed of intense, hands-on tutorials on behavioural experiment design and data analysis*. The main project of the school will be the assembly and configuration of a setup for fruit flies. This project will show how to design a setup to be versatile, and how to build it from scratch. These experiments will also provide data for more complex offline analysis using machine learning tools like DeepLabCut. We want to give the students the knowledge and tools to modify and improve their own setups and remove obstacles when designing future experiments. We will also host fantastic lecturers specializing in different aspects of behavioural studies: - Anne von Philipsborn (Aarhus University) - Ahmed el Hady (University of Konstanz) - Daniel Tomsic (University of Buenos Aires) - Karolina Socha (Uiversity College London) - Basil el Jundi (University of Wuerzburg) - Irene Jacobsen (Kavli Institute) - Alicja Pu?cian (Nencki Institute) - Ofer Yizhar (Weizmann Instiute) The school will be organized on Sept 1-10th 2022 in Wojciechy, in a beautiful lake region of Masuria. The fee is EUR 750 (we are now also securing funds for fee waivers). If you have any questions, contact us at openlab at nencki.edu.pl. Please find the application form and more info here *- https://nenckiopenlab.org/tbnss/ .* Please help us to spread the news! See you there! Nencki Open Lab Team -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: TBNSS poster.png Type: image/png Size: 2537544 bytes Desc: not available URL: From ksenia.kharitonova at gmail.com Wed Mar 30 05:04:51 2022 From: ksenia.kharitonova at gmail.com (Ksenia Kharitonova) Date: Wed, 30 Mar 2022 11:04:51 +0200 Subject: Connectionists: Second call for participation: MT4All Unsupervised MT Shared Task at SIGUL 2022 Message-ID: MT4All Unsupervised MT Shared Task at SIGUL 2022 (24-25 June, Marseille) SECOND CALL FOR PARTICIPATION We invite you to participate in the first edition of the MT4All Unsupervised Machine Translation Shared Task, hosted by the ELRA/ISCA Special Interest Group on Under-Resourced Languages Workshop (SIGUL 2022). Papers on the task will be published as part of the Proceedings. Invitation to Participate ? Expression of Interest . TASK DESCRIPTION For this Shared task we will leverage the resources generated by the recently finished CEF project MT4All , with the aim of exploring unsupervised MT techniques based only on monolingual corpora. In the course of the project, the following novel datasets were created: 18 monolingual corpora for specific languages and domains, 12 bilingual dictionaries and translation models, and 10 annotated datasets for evaluation. Most of them will be used in the present Shared task. The task is divided into three separate subtasks, each one covering a specific domain and set of languages. - Subtask 1: Unsupervised translation from English to Ukrainian, Georgian and Kazakh in the Legal domain. - Subtask 2: Unsupervised translation from English to Finnish, Latvian, and Norwegian Bokm?l in the Financial domain. - Subtask 3: Unsupervised translation from English to German, Norwegian Bokm?l, and Spanish in the Customer support domain. In this Shared task, we are interested in how the in-domain monolingual data that we will provide can be leveraged by creating a purely unsupervised machine translation model, either by - training an unsupervised model from scratch, or - adding value to an existing pre-trained model, on the condition that - it has been trained on monolingual datasets - it has not been fine-tuned with any parallel data - it is publicly accessible from the HuggingFace repository Although we exclude the possibility of fine-tuning the models with any existing parallel data, we allow making use of the bilingual resources created in the framework of MT4All using purely unsupervised technologies. As additional monolingual data, we allow the use of any monolingual Oscar dataset, only. IMPORTANT DATES - Training data release 10.03.2022 - Test sets release 25.04.2022 - Results deadline 02.05.2022 - Paper submission deadline 16.05.2022 - Acceptance notice 30.05.2022 - Camera ready 13.06.2022 - Workshop starts 24.06.2022 Please visit the website for more details: https://sigul-2022.ilc.cnr.it/mt4all-shared-task/ If you have any comments and/or questions, do not hesitate to contact ksenia.kharitonova at bsc.es. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hrvoje.stojic at protonmail.com Wed Mar 30 11:19:35 2022 From: hrvoje.stojic at protonmail.com (Hrvoje Stojic) Date: Wed, 30 Mar 2022 15:19:35 +0000 Subject: Connectionists: [jobs] Research internships at Secondmind Labs Message-ID: Dear colleagues, We have just opened three positions for Secondmind?s (formerly [Prowler.io](http://prowler.io/)) 2022 internship programme. We?re looking for applicants who are keen to advance the state of the art in probabilistic modelling and/or Bayesian optimisation and are currently enrolled in a scientific PhD programme. Additional expertise in Python coding skills would make a strong candidate. Further details on the position can be found at the [Secondmind Careers page](https://boards.greenhouse.io/secondmind/jobs/6020328002) and details on the research team can be found at [Secondmind Labs page](https://www.secondmind.ai/labs/). Kind regards,Hrvoje Stojic ----------------------------- Hrvoje Stojic, PhD Web: [https://hstojic.re/](http://hstojic.re/) -------------- next part -------------- An HTML attachment was scrubbed... URL: From vassilisvas at gmail.com Wed Mar 30 15:56:26 2022 From: vassilisvas at gmail.com (Vassilis Vassiliades) Date: Wed, 30 Mar 2022 22:56:26 +0300 Subject: Connectionists: [jobs] PhD Fellowship in Continual Reinforcement Learning Message-ID: Dear colleagues, We are accepting applications for PhD fellowships at the CYENS Centre of Excellence , located in sunny Nicosia, Cyprus. This post concerns the thematic area of *Continual Reinforcement Learning*. *Short description*: The field of reinforcement learning (RL) has seen tremendous progress over the last few years. Despite their impressive (often superhuman) performance, current RL systems suffer from the following drawbacks: (1) they are ?specialists? rather than ?generalists?, i.e., they become highly specialized to their current task, often forgetting completely how to solve their previously learned tasks, and (2) they require enormous data and computational resources for training. In contrast to such systems, human learning is efficient and robust to changing environments. Our brains can construct abstract predictive models from their sensorimotor experience that permit efficient planning, rapidly assimilate new knowledge in memory, and flexibly use it to build complex skills that are reused in many tasks. This project aims to make a significant step towards the highly sought goal of ?artificial general intelligence?, by developing software agents that continually acquire, reuse and improve a variety of skills, similarly to humans. The successful candidate will have the opportunity to build on top of the latest research on areas such as continual learning in deep neural networks, hierarchical reinforcement learning, memory-augmented neural networks, meta-learning, or open-endedness, and evaluate the developed agents using simulated environments or physical robots. The supervision team has expertise in machine learning, evolutionary computation, signal processing, robotics, control, cognitive systems, and neural-symbolic integration. *Candidates for this post should possess:* 1. M.Sc. Degree (or equivalent) from an accredited University in a relevant field (e.g., Computer Science, Computer Engineering) with a focus on Artificial Intelligence / Machine Learning. 2. Excellent knowledge of English, including speaking and writing skills, as well as reading research articles. 3. Strong programming skills (in Python and/or modern C++). 4. Mathematical maturity (linear algebra, multivariate calculus & optimization, probability theory & statistics, algorithms & complexity, information theory). 5. Ability to learn quickly and work independently, as well as in a team. *Preferred qualifications include: * Strong interest in neuroscience-inspired artificial intelligence. Experience with reinforcement learning, deep learning, continual learning, robotic simulators, or game engines will be considered an advantage. *Responsible Multidisciplinary Research Group (MRG):* The successful candidate will be assigned to CYENS?s "Learning Agents and Robots" (LEAR) MRG. The successful candidate will be registered at the Open University of Cyprus (OUC) but will be based at CYENS. *For more information please contact:* Vassilis Vassiliades (v.vassiliades at cyens.org.cy) *CYENS Doctoral Training Program Committee* 1. Vassilis Vassiliades, LEAR Team Leader, email: v.vassiliades at cyens.org.cy 2. Loizos Michael (OUC & CYENS) 3. Marc Deisenroth (University College London) *Deadline*: 18 April 2022 *For more information about the application procedure and more thematic areas please visit:* https://www.cyens.org.cy/en-gb/vacancies/job-listings/research-department/phd-fellowships-cyens-doctoral-training-program/ Kind regards, Vassilis Vassiliades -------------- next part -------------- An HTML attachment was scrubbed... URL: From michal.ptaszynski at gmail.com Thu Mar 31 01:29:53 2022 From: michal.ptaszynski at gmail.com (Ptaszynski Michal) Date: Thu, 31 Mar 2022 14:29:53 +0900 Subject: Connectionists: [2nd CfP] Call for Papers: Information Processing & Management (IP&M) (IF: 6.222) Special Issue on Science Behind Neural Language Models Message-ID: Dear Colleagues, ** Apologies for cross-posting ** This is Michal Ptaszynski from Kitami Institute of Technology, Japan. We still have a few slots for papers to be accepted for the Information Processing & Management (IP&M) (IF: 6.222) journal Special Issue on Science Behind Neural Language Models. This special issue is also a Thematic Track at Information Processing & Management Conference 2022 (IP&MC2022), meaning, that at least one author of the accepted manuscript will need to attend the IP&MC2022 conference. For more information about IP&MC2022, please visit: https://www.elsevier.com/events/conferences/information-processing-and-management-conference The deadline for manuscript submission is June 15, 2022, but your paper will be reviewed immediately after submission and will be published as soon as it is accepted. We hope you will consider submitting your paper. https://www.elsevier.com/events/conferences/information-processing-and-management-conference/author-submission/science-behind-neural-language-models Best regards, Michal PTASZYNSKI, Ph.D., Associate Professor Department of Computer Science Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal at mail.kitami-it.ac.jp ============================================ Information Processing & Management (IP&M) (IF: 6.222) Special Issue on "Science Behind Neural Language Models" & Information Processing & Management Conference 2022 (IP&MC2022) Thematic Track on "Science Behind Neural Language Models" Motivation The last several years showed explosive popularity of neural language models, especially large pre-trained language models based on the transformer architecture. The field of Natural Language Processing (NLP) and Computational Linguistics (CL) experienced a shift from simple language models such as Bag-of-Words, and word representations like word2vec, or GloVe, to more contextually-aware language models, such as ELMo, or more recently, BERT, or GPT including their improvements and derivatives. The general high performance obtained by BERT-based models in various tasks even convinced Google to apply it as a default backbone in its search engine query expansion module, thus making BERT-based models a mainstream, and a strong baseline in NLP/CL research. The popularity of large pretrained language models also allowed a major growth of companies providing freely available repositories of such models, and, more recently, the founding of Stanford University?s Center for Research on Foundation Models (CRFM). However, despite the overwhelming popularity, and undeniable performance of large pretrained language models, or ?foundation models?, the specific inner-workings of those models have been notoriously difficult to analyze and the causes of - usually unexpected and unreasonable - errors they make, difficult to untangle and mitigate. As the neural language models keep gaining in popularity while expanding into the area of multimodality by incorporating visual and speech information, it has become the more important to thoroughly analyze, fully explain and understand the internal mechanisms of neural language models. In other words, the science behind neural language models needs to be developed. Aims and scope With the above background in mind, we propose the following Information Processing & Management Conference 2022 (IP&MC2022) Thematic Track and Information Processing & Management Journal Special Issue on Science Behind Neural Language Models. The TT/SI will focus on topics deepening the knowledge on how the neural language models work. Therefore, instead of taking up basic topics from the fields of CL and NLP, such as improvement of part-of-speech tagging, or standard sentiment analysis, regardless of whether they apply neural language models in practice, we will focus on promoting research that specifically aims at analyzing and understanding the ?bells and whistles? of neural language models, for which the generally perceived science has not been established yet. Target audience The TT/SI will aim at the audience of scientists, researchers, scholars, and students performing research on the analysis of pretrained language models, with a specific focus on explainable approaches to language models, analysis of errors such models make, methods for debiasing, detoxification and other methods of improvement of the pretrained language models. The TT/SI will not accept research on basic NLP/CL topics for which the field has been well established, such as improvement of part-of-speech tagging, sentiment analysis, etc., even if they apply neural language models unless they directly contribute to furthering the understanding and explanation of the inner workings of large scale pretrained language models. List of Topics List of Topics The Thematic Track / Special Issue will invite papers on topics listed, but not limited to the following: - Neural language model architectures - Improvement of neural language model generation process - Methods for fine tuning and optimization of neural language models - Debiasing neural language models - Detoxification of neural language models - Error analysis and probing of neural language models - Explainable methods for neural language models - Neural language models and linguistic phenomena - Lottery Ticket Hypothesis for neural language models - Multimodality in neural language models - Generative neural language models - Inferential neural language models - Cross-lingual or multilingual neural language models - Compression of neural language models - Domain specific neural language models - Expansion of information embedded in neural language models Important Dates: Thematic track manuscript submission due date; authors are welcome to submit early as reviews will be rolling: June 15, 2022 Author notification: July 31, 2022 IP&MC conference presentation and feedback: October 20-23, 2022 Post conference revision due date: January 1, 2023 Submission Guidelines: Submit your manuscript to the Special Issue category (VSI: IPMC2022 HCICTS) through the online submission system of Information Processing & Management. https://www.editorialmanager.com/ipm/ Authors will prepare the submission following the Guide for Authors on IP&M journal at (https://www.elsevier.com/journals/information-processing-and-management/0306-4573/guide-for-authors). All papers will be peer-reviewed following the IP&MC2022 reviewing procedures. The authors of accepted papers will be obligated to participate in IP&MC 2022 and present the paper to the community to receive feedback. The accepted papers will be invited for revision after receiving feedback on the IP&MC 2022 conference. The submissions will be given premium handling at IP&M following its peer-review procedure and, (if accepted), published in IP&M as full journal articles, with also an option for a short conference version at IP&MC2022. Please see this infographic for the manuscript flow: https://www.elsevier.com/__data/assets/pdf_file/0003/1211934/IPMC2022Timeline10Oct2022.pdf For more information about IP&MC2022, please visit https://www.elsevier.com/events/conferences/information-processing-and-management-conference. Thematic Track / Special Issue Editors: Managing Guest Editor: Michal Ptaszynski (Kitami Institute of Technology) Guest Editors: Rafal Rzepka (Hokkaido University) Anna Rogers (University of Copenhagen) Karol Nowakowski (Tohoku University of Community Service and Science) For further information, please feel free to contact Michal Ptaszynski directly. Michal Ptaszynski michal.ptaszynski at gmail.com From ioannakoroni at csd.auth.gr Wed Mar 30 05:28:43 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 30 Mar 2022 12:28:43 +0300 Subject: Connectionists: Participation in the free International AI Doctoral Academy (AIDA) Short course "Domain Adaptation and Generalization" by Prof. Vittorio Murino and Dott. Pietro Morerio, April 08, 2022 Message-ID: <054701d84418$8cf6d480$a6e47d80$@csd.auth.gr> COURSE TITLE: Domain Adaptation & Generalization LECTURER: Vittorio Murino, vittorio.murino at univr.it; Pietro Morerio, pietro.morerio at iit.it ORGANIZER: University of Verona and Istituto Italiano di Tecnologia CONTENT AND ORGANIZATION: A standard assumption of learning based models is that training and test data share the same input distribution. However, models trained on given datasets perform poorly when tested on data acquired in different settings. This problem is known as domain shift and is particularly relevant, e.g., for visual models of agents acting in the real world or when we have no labeled data available for our target scenario. In the latter case, for instance, we could use synthetically generated data to obtain data for our target task, but this would create a mismatch between training (synthetic) and test (real) images. Filling the gap between these two different input distributions is the goal of domain adaptation (DA) algorithms. In particular, the goal of DA is to produce a model for a target domain (for which we have few or no labeled data) by exploiting labeled data available in a different, source, domain. Various DA techniques have been developed to address the domain shift problem. In this short course, we will provide an introduction to these algorithms and to domain adaptation and generalization. In particular, we will first introduce the domain shift problem, showing application scenarios where it is strongly present. Second, we will provide an overview of the algorithms that have been developed to tackle this issue. In particular, we will focus on the last research trends addressing the DA problem within deep neural networks. Lastly, we will address the domain generalization problem, which is a more challenging task because it assumes that target data is also not available, implying that the training algorithm should be devised to generalize as much as possible without any adaptation to the target in order to properly classify never observed, out-of-distribution samples. REGISTRATION: Free of charge WHEN: April 8, 2022 - 14.00-18.00 CEST WHERE: Online (link to be provided by the Lecturer after registration/enrollment) HOW TO REGISTER and ENROLL: Both AIDA and non-AIDA students are encouraged to participate in this short course. If you are an AIDA Student* already, please: Step (a): Register in the course by sending an email to pietro.morerio[at] iit.it for your registration. AND Step (b): Enroll in the same course in the AIDA system using the "Enroll on this Course" button, which you can find here , so that this course enters your AIDA Certificate of Course Attendance. If you are not an AIDA Student do only step (a). *The International AI Doctoral Academy (AIDA) has 73 members, which are top AI Universities, Research centers and Industries: https://www.i-aida.org/ AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members) -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Wed Mar 30 19:30:18 2022 From: cgf at isep.ipp.pt (Carlos) Date: Thu, 31 Mar 2022 00:30:18 +0100 Subject: Connectionists: CFP: 15th International Symposium on High-level Parallel Programming and Applications (HLPP 2022) - Deadline Extended to April 15, 2022 Message-ID: --------------- CALL FOR PAPERS --------------- HLPP 2022 The 15th International Symposium on High-level Parallel Programming and Applications Porto, Portugal, 7-8 July, 2022 https://hlpp2022.dcc.fc.up.pt/ ---------------------- Aims and scope of HLPP ---------------------- As processor and system manufacturers increase the amount of both inter- and intra-chip parallelism it becomes crucial to provide the software industry with high-level, clean and efficient tools for parallel programming. Parallel and distributed programming methodologies are currently dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms. Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism. Since 2001 the HLPP series of workshops/symposia has been a forum for researchers developing state-of-the-art concepts, tools and applications for high-level parallel programming. The general emphasis is on software quality, programming productivity and high-level performance models. The 15th Symposium on High-Level Parallel Programming and Applications will be held in the Porto, Portugal. ------ Topics ------ HLPP 2022 invites papers on all topics in high-level parallel programming, its tools and applications including, but not limited to, the following aspects: * High-level programming, performance models (BSP, CGM, LogP, MPM, etc.) and tools * Declarative parallel programming methodologies * Algorithmic skeletons and constructive methods * Declarative parallel programming languages and libraries: semantics and implementation * Verification of declarative parallel and distributed programs * Software synthesis, automatic code generation for parallel programming * Model-driven software engineering with parallel programs * High-level programming models for heterogeneous/hierarchical platforms * High-level parallel methods for large structured and semi-structured datasets * Applications of parallel systems using high-level languages and tools * Formal models of timing and real-time verification for parallel systems ------------------ Program Chairs ------------------ In?s Dutra, University of Porto, Portugal Jorge Barbosa, University of Porto, Portugal Miguel Areias, University of Porto, Portugal ------------------ Publicity Chair ------------------ Carlos Ferreira, Polytechnic Institute of Porto ----------------- Program Committee ----------------- Marco Aldinucci, University of Torino, Italy Murray Cole, The University of Edinburgh, UK Iacopo Colonnelli, University of Torino, Italy Fr?d?ric Dabrowski, LIFO - Universit? d'Orl?ans, France Marco Danelutto University of Pisa, Italy Jo?o Gama, University of Porto, Portugal Arturo Gonzalez-Escribano, The University of Valladolid, Spain Clemens Grelck, University of Amsterdam, Netherlands Dalvan Griebler, PUCRS/SETREM, Brasil Ga?tan Hains, Huawei Paris Research Center, France Ali Jannesari, Iowa State University, USA Christoph Kessler, Link?ping University, Sweden Peter Kilpatrick, Queen's University Belfast, UK Herbert Kuchen, University of M?nster, German Kiminori Matsuzaki, Kochi University of Technology, Japan Virginia Niculescu, Babe?-Bolyai University, Romania Aleksandar Prokopec, Ecole Polytechnique F?d?rale de Lausanne, Switzerland Nuno Roma, University of Lisbon, Portugal Kostis Sagonas, Uppsala University, Sweden Jo?o Sobral, University of Minho, Portugal Massimo Torquati, University of Pisa, Italy ---------------- Important dates ---------------- Submission deadline: April 15, 2022(AoE) Author notification: June 3, 2022 Camera-ready for draft proceedings: July 1, 2022 Early registration deadline: June 8, 2022 Symposium: July 7-8 (Thursday/Friday) IJPP (HLPP special issue) submission deadline: October 28, 2022 IJPP (HLPP special issue) camera-ready for journal publication: December 2, 2022 ---------------- Paper submission ---------------- Papers submitted to HLPP 2022 must describe original research results and must not have been published or simultaneously submitted anywhere else. Manuscripts must be prepared with the Springer IJSS latex macro package using the single column option (\documentclass[smallextended]{svjour3}) and submitted via the EasyChair Conference Management System as one pdf file. The strict page limit for initial submission and camera-ready version is 20 pages in the aforementioned format. Each paper will receive a minimum of three reviews by members of the international technical program committee. Papers will be selected based on their originality, relevance, technical clarity and quality of presentation. After the symposium the authors of the accepted papers will have ample time to revise their papers and to incorporate the potential comments and remarks of their colleagues. We expect the HLPP 2022 special issue of the International Journal of Parallel Programming (IJPP) to appear online-first by the end of the year and the printed edition in mid-2023. ----------- Proceedings ----------- Accepted papers will be distributed as informal draft proceedings during the symposium and will be published by Springer in a special issue of the International Journal of Parallel Programming (IJPP). ----- Venue ----- HLPP 2022 will be hosted by the Dept. of Computer Science (GPS coords 41.152545, -8.640758) of the Faculty of Sciences of the University of Porto (FCUP). Participants may reserve rooms in several of the nearby Hotels. As the symposium will be held in the tourist season, the organizers recommend a timely reservation of rooms. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From mpavone at dmi.unict.it Thu Mar 31 03:52:26 2022 From: mpavone at dmi.unict.it (Mario Pavone) Date: Thu, 31 Mar 2022 09:52:26 +0200 Subject: Connectionists: [MIC 2022] New Submission Deadline Message-ID: <20220331095226.Horde.mGB-Kuph4B9iRV26ILJkfNA@mbox.dmi.unict.it> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. ********************************************************* MIC 2022 - 14th Metaheuristics International Conference 11-14 July 2022, Ortigia-Syracuse, Italy https://www.ANTs-lab.it/mic2022/ mic2022 at ANTs-lab.it ********************************************************* ** NEW SUBMISSION DEADLINE: 30th April 2022 ** ** Proceedings in LNCS Volume, Springer ** ** Special Issue in ITOR journal ** ** 7 Plenary Speakers ** *Plenary Speakers ======================== + Christian Blum, Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC) "Recent Hybrid Techniques for Solving Large-Scale Combinatorial Optimization Problems" + Kalyanmoy Deb, Michigan State University, USA "TBA" + Fred Glover, Meta-Analytics, Inc., USA "New Advances for Quantum-Inspired Optimization - part A" + Salvatore Greco, University of Catania, Italy "TBA" + Holger H. Hoos, Leiden University, The Netherlands "TBA" + Gary Kochenberger, University of Colorado, USA "New Advances for Quantum-Inspired Optimization - part B" + El-Ghazali Talbi, University of Lille, France "How Machine Learning Can Help Metaheuristics?" Submission Details =================== ** SUBMISSION SYSTEM ALREADY OPEN ** https://www.easychair.org/conferences/?conf=mic2022 MIC 2022 accepts submissions in three different formats: ??S1) Regular paper: novel and original research contributions of a maximum of 15 pages? (LNCS format) ??S2) Short paper: extended abstract of novel research works of 6 pages (LNCS format) ??S3) Oral/Poster presentation: high-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication. All papers must be prepared using Lecture Notes in Computer Science (LNCS) template, and must be submitted in PDF at the link: Proceedings and special issue ============================ Accepted papers in categories S1 and S2 will be published as post-proceedings in *Lecture Notes in Computer Science* series by Springer.? Accepted contributions of category S3 will be considered for oral or poster presentations at the conference based on the number received and the slots available, and will not be included into the LNCS proceedings. An electronic book instead will be prepared by the MIC 2022 organizing committee, and made available on the website. In addition, a post-conference special issue in International Transactions in Operational Research (ITOR) will be considered for the significantly extended and revised versions of selected accepted papers from categories S1 and S2. Conference Location ==================== MIC 2022 will be held at the Department of Architeture of the University of Catania, which is placed in the beautiful Ortigia island, the historical centre of the city of Syracuse, Sicily-Italy. Syracuse is very famous for its ancient ruins, with particular reference to the Roman Amphitheater, Greek Theatre, and the Orecchio di Dionisio (Ear of Dionisio) that is a limestone cave shaped like a human ear. Syracuse is also the city where the greatest mathematician Archimede was born. https://www.ants-lab.it/mic2022/index.html#venue https://www.ants-lab.it/mic2022/location.html https://www.siracusaturismo.net/multimedia_lista.asp -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= MIC 2022 - 14th International Metaheuristics Conference 11-14 July 2022, Ortigia-Syracuse, Italy https://www.ants-lab.it/mic2022/ ========================================================= From ioannakoroni at csd.auth.gr Thu Mar 31 03:21:18 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 31 Mar 2022 10:21:18 +0300 Subject: Connectionists: [AIDA] [Courses] Literate models for Computer Vision: Combining vision, language and reading References: Message-ID: <098501d844cf$ea622810$bf267830$@csd.auth.gr> COURSE TITLE: Literate models for computer vision: Combining vision, language and reading WEB SITE: https://sites.google.com/view/course-literatemodelsforvision LECTURERS: Dimosthenis Karatzas (dimos at cvc.uab.es ), Ernest Valveny (ernest at cvc.uab.cat ), Lluis Gomez (lgomez at cvc.uab.es ), Ali Biten, Andres Mafla, Ruben Perez, Sergi Garcia ORGANIZER: Computer Vision Centre, Barcelona, Spain CONTENT AND ORGANIZATION: Written information in the world around us is a fundamental cue for a multitude of everyday tasks. From shopping at the supermarket to finding our destination in an unknown urban space, written text helps us perform many tasks that would otherwise be much more complex. Computer vision systems on the other hand, have been practically illiterate for the first half century of their lifetime. Specific research on reading systems has been going on for decades, but the semantic information that image text conveys was not incorporated to higher-level computer vision tasks until very recently. This is gradually changing, afforded by the great success achieved in the field of scene text recognition in recent years. Through this short interactive course, doctoral students will have a chance to reconcile with the state of the art in reading systems, especially scene text recognition, and explore how image text enables us to tackle new and exciting computer vision tasks such as fine-grained image classification, cross-modal retrieval, captioning and visual question answering.. REGISTRATION: Free of charge WHEN: April 4, 2022 - 17.00-19.00 CET and April 6, 2022 - 17:00 - 19:00 CET WHERE: The course will take place in hybrid mode. Onsite attendance is possible at the Computer Vision Centre, Barcelona (limited availability). For ONLINE participants, a link will be provided by the organisers after registration/enrollment. HOW TO REGISTER and ENROLL: Both AIDA and non-AIDA students are encouraged to participate in this short course. If you are an AIDA Student* already, please: Step (a): Register in the course by filing in the form at the Web site of the course AND Step (b): Enroll in the same course in the AIDA system using the "Enroll on this Course" button, which you can find here, so that this course enters your AIDA Certificate of Course Attendance. If you are not an AIDA Student do only step (a). *The International AI Doctoral Academy (AIDA) has 73 members, which are top AI Universities, Research centers and Industries: https://www.i-aida.org/ AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members) Computer Vision Center CONFIDENTIALITY WARNING -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonio.carta at unipi.it Thu Mar 31 05:33:26 2022 From: antonio.carta at unipi.it (Antonio Carta) Date: Thu, 31 Mar 2022 11:33:26 +0200 Subject: Connectionists: CfP Pervasive Artificial Intelligence Workshop @ IEEE WCCI 2022 Message-ID: Call for Papers Pervasive Artificial Intelligence Workshop IEEE WCCI 2022 - July 18-23 2022 Padua - Italy http://pai.di.unipi.it/paiw2022/ The WCCI 2022 Workshop on Pervasive AI aims to establish a new multidisciplinary community tackling challenges across edge AI, continual learning, embedded, distributed and federated learning, neuromorphic computing, AI-HPC, sustainable AI. AI is becoming a pervasive technology in ICT systems development, as well as for its presence in products and services of daily use. In particular, a pervasive use of neural-based methodologies and technologies comes at the cost of increased functional and non-functional requirements related to fundamental properties, such as energy efficiency, ability to continuously adapt to changing conditions and tasks, dependability, security and human-machine interactivity. The workshop encourages submissions from academia, industrial projects, and international research projects. Relevant topics include but are not limited to: - Adaptive placement of applications on the Cloud-Iot continuum - Algorithms, software and hardware platforms for high-performance and scalable processing of AI and ML models - Continuous reasoning on Cloud-IoT applications - Cybersecurity in ML - Design and development of algorithms, models and software for AI and ML - Distributed and embedded AI and learning - Distributed, embedded and in-silico neural computation - Deep graph networks in pervasive AI applications - Federated learning - Intelligent IoT and cyber-physical systems - Learning on streaming data and continual learning - Multi-agents systems in pervasive computing - Methods, algorithms and systems for human-aware, secure and safe AI in pervasive computing scenarios - ML-on-Cloud, ML-for-the-Cloud, ML as a service - ML-Ops - Neuromorphic computing - Learning at-the-edge - Safe AI - Sustainable AI - Trustworthy AI Submission Guidelines The workshop offers the possibility to opt for either non-archival contributions or published proceedings papers. The latter will be published under the CEUR-WS AIxIA series, which is open access and fully indexed by Scopus, DBLP and Scholar. The workshop accepts the following types of contributions: - Regular papers (min 10 pages, max 12 pages refs included): papers presenting mature research contributions - Short papers (min 5 pages, max 8 pages): papers presenting preliminary ideas, work in progress, position statements All contributions, irrespective of the type, will undergo a single blind peer review process with 2-3 anonymous referees. Articles should be formatted according to the CEUR-WS style: http://ceur-ws.org/Vol-XXX/CEURART.zip Submissions are handled via Easychair: https://easychair.org/conferences/?conf=paiw22 Important Dates Submission Deadline: April 30th 2022, AoE Notification to authors: May 31st 2022 Camera-ready upload: June 15th 2022, AoE Workshop dates: 18-19 July 2022 (exact day to be confirmed) Organizing Committee Davide Bacciu, Universit? di Pisa Antonio Carta, Universit? di Pisa Patrizio Dazzi, Consiglio Nazionale delle Ricerche Magdalini Eirinaki, San Jose State University Iraklis Varlamis, Harokopio University of Athens -------------- next part -------------- An HTML attachment was scrubbed... URL: From mecca at di.uniroma1.it Thu Mar 31 07:35:05 2022 From: mecca at di.uniroma1.it (mecca at di.uniroma1.it) Date: Thu, 31 Mar 2022 13:35:05 +0200 Subject: Connectionists: CFP - Remote Sensing - Special Issue Unmanned Aerial Vehicles (UAV): New Solutions and Applications for Real-Life Tasks Message-ID: <001701d844f3$5ed46870$1c7d3950$@di.uniroma1.it> (apologies for multiple copies) =================================================================== CALL FOR PAPERS * Special Issue Unmanned Aerial Vehicles (UAV): New Solutions and Applications for Real-Life Tasks * Journal: Remote Sensing (MDPI), IF 4.509 Guest Editors: Claudio Piciarelli, Danilo Avola, Alessio Mecca, Marco Cascio Full info: https://www.mdpi.com/journal/remotesensing/special_issues/UAV_RealLifeTasks Deadline: accepted papers will be published continuously (as soon as accepted) till the deadline (31 December 2022) =================================================================== Abstract: The recent widespread use of Unmanned Aerial Vehicles (UAVs) as well as their reduced costs allow their application in real-life remote sensing scenarios. For this reason, several of the tasks that are usually performed by humans could now benefit from an UAV-based approach, e.g., to operate in hazardous environments, automatize tedious tasks, or even just improve system performance. Moreover, UAVs can equip different kinds of cameras, such as RGB, depth RGB, and/or infrared, which can be useful for different application contexts. Different from traditional techniques, which often require monitoring different locations, there is no need to duplicate the acquisition devices, drastically reducing costs and allowing a better-quality camera of the same price. In addition, in some specific fields, the use of UAVs can have a high impact. For example, in environmental anomaly detection, old techniques were based on satellite acquisitions. However, the high distance of the acquisition source could hinder the detection of small objects. In surveillance, the use of UAVs can help to cover large areas with less effort with respect to the normal cameras that can only cover fixed locations. Examples of other possible applications are environmental data acquisition, smart agriculture, surveillance, monitoring of dangerous areas, search-and-rescue operations, anomaly detection, etc. This Special Issue is looking for new solutions for tasks that can be eased by using UAVs, novel deep network architectures that are especially focused on UAV-captured videos, and possible new tasks on which the use of UAVs can be beneficial. For this Special Issue, we welcome the most recent advancements that are related but not limited to: * Anomaly detection using UAV videos; * Persons recognition using UAV videos or images; * Person re-identification using UAV videos or images; * Surveillance strategies using UAV videos; * New techniques for map reconstruction using UAV videos or images; * Novel strategies for combining simultaneous videos from more than one UAV; * Novel adaptive strategies to automatize UAV exploration according to an unknown environment; * Solutions for novel tasks exploiting UAV videos and images. Dr. Claudio Piciarelli Dr. Danilo Avola Dr. Alessio Mecca Dr. Marco Cascio Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From rune2earth at gmail.com Thu Mar 31 07:38:46 2022 From: rune2earth at gmail.com (Rune Berg) Date: Thu, 31 Mar 2022 13:38:46 +0200 Subject: Connectionists: Online workshop: How do brains work: Do they end up in stationarities? Do they have attractors? Message-ID: Dear all, It is our pleasure to invite you to our upcoming Zoom Workshop on Stationarities and Attractors. The event will take place on Zoom from the 18th of April ? 21st of April 2022 at 17:00 - 19:30 CEST. The program for the workshop is enclosed in this email. Please note that all speakers discuss the same two topics hence there are no titles in the program. ZOOM Workshop April 18-21, 2022 How do brains work: Do they end up in stationarities? Do they have attractors? In this workshop experts penetrate these questions in depth and summarize the experimental evidence for stationarities and attractors in central nervous systems dynamics. Speakers: Alain Destexhe, CNRS, Orsay, France (confirmed) Alessandro Treves, SISSA, Trieste, Italy (confirmed) Biyu He, NYU; New York, USA (confirmed) Carsen Stringer Janelia, Ashburn, VA, USA (confirmed) Daniel Durstewitz, University of Heidelberg, Germany (confirmed) Mark Humphries, University of Nottingham, UK (confirmed) Mikael Lundqvist, Karolinska Institutet & MIT Boston, MA, USA(confirmed) Nicolas Brunel, Duke University, Durham USA(confirmed) Sara Solla, Northwestern University, Chicago USA(confirmed) Tatiana Engel, Cold Spring Harbor Lab USA(confirmed) Tatjana Tchumatchenko, Johannes Gutenberg University Mainz, Germany (confirmed) Yasser Roudi, Kavli Institute of Neuroscience, Trondheim, Norway (confirmed) Registration The registration is free just fill in the form at the link below and we will send you the link to the workshop one week in advance. Registration link: How do brains work: Do they end up in stationarities? Do they have attractors? ? University of Copenhagen (ku.dk) Organizers Per Roland and Rune W. Berg, Dept. Neuroscience, University of Copenhagen, Denmark and Danish Society for Neuroscience Best regards, Per Roland and Rune W. Berg Best, Rune ---------------------------- Rune W. Berg, PhD, Associate Professor University of Copenhagen Department of Neuroscience, DENMARK Tel: (+45) 26 97 73 94 Email: pgj142 at ku.dk Twitter: RuneWBerg www.berg-lab.net https://in.ku.dk/research/berg-lab/ Rune Berg rune2earth at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: pastedImage.png Type: image/png Size: 59416 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Program.jpg Type: image/jpeg Size: 223572 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: pastedImage.png Type: image/png Size: 6125 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: pastedImage.png Type: image/png Size: 14215 bytes Desc: not available URL: From p.gleeson at ucl.ac.uk Thu Mar 31 08:39:41 2022 From: p.gleeson at ucl.ac.uk (Padraig Gleeson) Date: Thu, 31 Mar 2022 13:39:41 +0100 Subject: Connectionists: Google Summer of Code: model and experimental data sharing on Open Source Brain Message-ID: <538b58f6-1c92-ed22-aced-1b1a8b9d2278@ucl.ac.uk> --Apologies for cross-posting-- Google Summer of Code is a global, online program focused on bringing new contributors into open source software development.? Generous stipends are provided for successful applicants to work on these projects for a number of months over the summer. The INCF has been a GSoC mentoring organisation for the past number of years, and has helped link up students with mentors to advance various projects in the wider neuroinformatics and computational neuroscience areas. The Open Source Brain initiative is encouraging students to apply to be part of this. The successful candidate(s) for our 2 proposals will take published computational models and experimental datasets and convert them into open, standardised formats (e.g. NeuroML and NWB) and share them on the OSB platform as a resource for the wider community. The two projects are: *Open source, cross simulator, large scale cortical models in NeuroML and PyNN* These can be models where code is available in simulator specific formats on ModelDB, or classic models from the literature which would benefit from curating/updating/documenting. Making models available in these formats will allow them to be used & tested across multiple simulators, make the physiological properties of the models more accessible and facilitate reuse of model components. *Conversion of public neurophysiology datasets to Neurodata Without Borders (NWB) format* This project will involve converting a number of publicly available datasets to NWB format, adding structured metadata to ensure maximal readability and reusability of the data. The converted datasets will be made available through the new NWB Explorer on the Open Source Brain repository (http://nwbexplorer.opensourcebrain.org) which allows visualisation of the data as well as interactive analysis through an inbuilt Jupyter notebook. *This opportunity is particularly relevant for Masters & PhD students currently working in model development/data analysis in? neuroscience. Many students **are already reusing/converting/updating existing models and data as part of their work and this is a great opportunity to get paid extra to do this! *** Closing date for student applications: *19 April 2022* Period of working on projects: *13 June - ***12 *September 2022* Please get in contact if you have any questions. -- ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson at ucl.ac.uk ----------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From jochem.rieger at uni-oldenburg.de Thu Mar 31 13:37:59 2022 From: jochem.rieger at uni-oldenburg.de (Jochem Rieger) Date: Thu, 31 Mar 2022 19:37:59 +0200 Subject: Connectionists: ancpBIDS looking for contributors as part of GSoC 2022 Message-ID: <20220331173803.1FEFA7D30A1_245E6FBB@smtp120.uni-oldenburg.de> -- apologies for cross postings -- Dear community, As part of the GSoC 2022 [1] with INCF [2] as a mentoring organization the ancpBIDS [3] project is looking for contributors to work on implementation level tasks in Python. Contributor proposals are open on April 4th, but you are welcome to already state your interest. Please have a look at the following proposals for more details and how to apply and who to contact: - GSoC 2022 Project Idea 15.1: Interactive graph visualization of the BIDS schema (175 h) https://neurostars.org/t/gsoc-2022-project-idea-15-1-interactive-graph-visualization-of-the-bids-schema-175-h/21410 - GSoC 2022 Project Idea 15.2: Validation engine for BIDS datasets (350 h) https://neurostars.org/t/gsoc-2022-project-idea-15-2-validation-engine-for-bids-datasets-350-h/21411 For questions you can contact erdal.karaca at uni-oldenburg.de Best regards, Erdal Karaca - on behalf of the ancpBIDS project team Links: [1] https://summerofcode.withgoogle.com [2] https://neurostars.org/c/gsoc/5 [3] https://github.com/ANCPLabOldenburg/ancp-bids -- Jochem Rieger Prof. Dr. rer. nat. habil. Applied Neurocognitive Psychology DFG Center for Open and Reproducible Neuroscience Tools Carl-von-Ossietzky University Oldenburg Phone: +49 (0)441 798 4533 Web: https://uol.de/en/applied-neurocognitive-psychology From kexinc3 at uci.edu Thu Mar 31 19:42:29 2022 From: kexinc3 at uci.edu (Kexin Chen) Date: Thu, 31 Mar 2022 16:42:29 -0700 Subject: Connectionists: (Deadline Extended) Call for Submissions - CVPR 2022 NeuroVision Workshop Message-ID: <108E5131-73AB-40B3-B738-3622F32E3FF6@uci.edu> NeuroVision: What can computer vision learn from visual neuroscience? A CVPR 2022 Workshop Date: June 19, 2022 Location: New Orleans, Louisiana Updated Important Dates Submission Deadline: May 8, 2022 - 11:59pm (PDT) Acceptance Notification: May 15, 2022 Workshop date: June 19, 2022 Submission Page https://cmt3.research.microsoft.com/NeuroVision2022 We are delighted to announce the NeuroVision workshop hosted in conjunction with CVPR 2022 on June 19, 2022. This workshop seeks to understand the contexts in which the brain?s visual system can inform and improve current AI systems, and to explore principles of the brain that can be extracted and incorporated into AI and ML. The workshop is a full-day event featuring invited speakers, panel discussions, and poster presentations/ lighting talks, with the objective of fostering discussions that are relevant to larger scientific communities beyond computer vision, including neuroscience, psychology, human computer interaction, augmented reality, and visual prosthetics. The workshop will offer both in-person and virtual attendance options. We invite submissions of extended abstracts (up to four pages including references) describing work related to topics in biological vision that can potentially benefit computer vision systems. The following is a non exhaustive list of relevant topics: Active vision?s role in visual search, scene understanding, social interactions, etc. Learning in the visual system. Learning in biology is continual, few-shot, and adversarially robust. The roles of recurrent and top-down connections in the visual cortex. Spike based spatiotemporal processing and its implications for neuromorphic vision. Motion perception in dynamic environments. Neural coding schemes in the visual system (e.g., sparse coding, predictive coding, and temporal coding.) The roles of attention mechanisms in biological vision. Accepted submissions will be presented as posters/ lightning talks at the workshop, but will not be included in the Proceedings of CVPR 2022. After the workshop, we will be inviting authors to submit papers for a special issue on NeuroVision in the journal Biological Cybernetics. Registration Workshop registration will be collected by CVPR. Please visit the CVPR 2022 website for registration information. Invited Speakers S. P. Arun, Indian Institute of Science, Bangalore, India Talk: How does the brain crack CAPTCHAs? Michael Beyeler, University of California, Santa Barbara, USA Talk: Visual features important for scene understanding: insights from sight restoration studies Leyla Isik, Johns Hopkins University, USA Talk: The neural computations underlying human social vision and insights for machine vision Tim Kietzmann, Radboud University, Netherlands Talk: Recurrence as a key ingredient for understanding and mirroring robust human object recognition Grace Lindsay, University College London, UK Talk: Comparing visual representations learned through supervised, unsupervised, and reinforcement learning Heiko Neumann, Ulm University, Germany Talk: Canonical neural circuit computations for perceptual disambiguation and contextual decision-making Elisabetta Chicca, University of Groningen, Netherlands Talk: Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments Jeff Krichmar, University of California, Irvine, USA Talk: Motion processing the the primate dorsal visual stream Bruno Olshausen, University of California, Berkeley, USA Talk: Learning to factorize images For more information about the workshop, please visit the NeuroVision website . Best wishes, NeuroVision Organizing Team -------------- next part -------------- An HTML attachment was scrubbed... URL: