From sahidullahmd at gmail.com Wed Sep 1 02:08:54 2021 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Wed, 1 Sep 2021 08:08:54 +0200 Subject: Connectionists: Invitation to participate in ASVspoof 2021 Workshop (an official INTERSPEECH 2021 satellite event) Message-ID: Dear all, the ASVspoof 2021 Workshop, an official Interspeech 2021 satellite event, will be held online in the form of a Zoom Webinar on September 16th, 2021. Participation is free of charge and open to all, but registration is mandatory: https://us06web.zoom.us/webinar/register/WN_z7eszJ6FTWuYP0WD3yGjjA The tentative technical program is available from the ASVspoof website: https://www.asvspoof.org/workshop All presentations will be live, not pre-recorded, and will be followed by short slot for Q&As. Workshop proceeding will be available from the ISCA archive: Kind regards, The ASVspoof 2021 organising committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Sep 1 04:37:40 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 1 Sep 2021 10:37:40 +0200 Subject: Connectionists: COMPLEX NETWORKS 2021 SUBMISSION DEADLINE EXTENDED SEPTEMBER 12, 2021 Message-ID: *10th** International Conference on Complex Networks & Their Applications* *Hybrid- Madrid, Spain *November 30 - December 02, 2021 COMPLEX NETWORKS 2021 You are cordially invited to submit your contribution until *September 12, 2021 (Firm deadline)* *SPEAKERS * ? Marc Barth?l?my CEA France ? Ginestra Bianconi Queen Mary University of London UK ? Jo?o Gama University of Porto Portugal ? Dirk Helbing ETH Z?rich Switzerland ? Yizhou Sun UCLA USA ? Alessandro Vespignani Northeastern University USA *TUTORIALS (November 29, 2021)* ? Elisabeth Lex Graz University of Technology Austria ? Giovanni Petri ISI Foundation Italy *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome.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)* Templates are available on the submission webpage. If in doubt, please contact the Publication Chair (matteo.zignani at unimi.it) All contributions should be submitted via EasyChair . Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press 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* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *ADVISORY BOARD* Jon Crowcroft *University of Cambridge, UK* Raissa D'Souza *UC Davis, USA* Eugene Stanley *Boston University, USA* Ben Y. Zhao *University of Chicago, USA* *PROGRAM CHAIRS* Chantal Cherifi *University of Lyon, France* Luis M. Rocha *Indiana University, USA* Marta Sales-Pardo *Universitat Rovira i Virgili, Spain* *LIGHTNING CHAIRS* Jes?s Gomez Garde?es *University of Zaragoza, Spain* Regino Criado* Universidad Rey Juan Carlos de Madrid, Spain* Huijuan Wang *TU Delft, Netherlands* *POSTER CHAIRS* Manuel Marques Pita *Universidade Lus?fona, Portugal* Taha Yasseri *University of Oxford, UK* Jos? Javier Ramasco *IFISC, Spain* *TUTORIAL CHAIRS* Luca Maria Aiello *Nokia-Bell Labs, UK* Leto Peel *Universit? Catholique de Louvain, Belgium* *SATELLITE CHAIR* Javier Galeano *Universidad Politecnica de Madrid, Spain* *PUBLICITY CHAIRS* Benjamin Renoust *Osaka University, Japan* Xiangjie Kong* Dalian* *University of Technology, China* *SPONSOR CHAIR* Roberto Interdonato *CIRAD, France* *STUDENT GRANT CHAIR* Sabrina Gaito *Universit? degli Studi di Milano, Italy* *PUBLICATION CHAIR* Matteo Zignani *Universit? degli Studi di Milano, Italy* *WEB CHAIR* Stephany Rajeh *University of Burgundy, France* *LOCAL COMMITTEE CHAIR* Juan Carlos Losada *Universidad Politecnica de Madrid, Spain* Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* 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 ylei1 at terpmail.umd.edu Wed Sep 1 10:32:14 2021 From: ylei1 at terpmail.umd.edu (Yuqing Lei) Date: Wed, 1 Sep 2021 10:32:14 -0400 Subject: Connectionists: Faculty Position at University of Maryland Message-ID: Assistant Professor, Cognitive Neuroscience Department of Psychology, University of Maryland, College Park The Department of Psychology (www.psychology.umd.edu) at the University of Maryland, College Park seeks candidates for a tenure-track position in cognitive neuroscience, employing human fMRI. Research interests may include (but are not limited to) aspects of higher cognition such as learning, memory, decision-making, affect, cognitive/executive control, language or social processing. We are particularly interested in candidates whose research builds strongly on mathematical or computational methods (e.g., Bayesian methods, big data, economic approaches, deep learning, predictive classifiers, psychoinformatics, social network analysis, computational statistics, neural networks, machine learning), including using computational methods to bridge different levels of analysis (behavioral, neural). Research programs designed to answer questions related to how brain function changes across the lifespan (e.g., development, aging) and/ or study brain function in health and disease (e.g., addiction, autism, Alzheimer's, anxiety) are welcome. The research plan should strengthen collaborative interactions between neuroscience and other disciplines within our department and possibly across other departments at UMD (e.g., biology, engineering, hearing and speech sciences, linguistics, computer science). Qualifications Candidates should have a strong publication record in behavioral or cognitive neuroscience and show promise for, or an established record of external funding. Candidates should have a demonstrated commitment to teaching and mentorship at both the undergraduate and graduate levels and a commitment to conducting open and reproducible research. Consistent with Departmental and University values, candidates should be committed to fostering diversity and inclusion through their approach to research, teaching, and mentoring. A PhD in Psychology, Neuroscience or related field is required at the time of appointment. The University of Maryland has a vibrant community of scholars conducting research in the area of neuroscience. Candidates will have many opportunities to collaborate with scholars within psychology and across multiple units, including the departments of Biology, Computer Science, Engineering, Human Development and Quantitative Methodology, Family Sciences, Linguistics, Kinesiology, Hearing & Speech Sciences, and African American Studies, and the University of Maryland Schools of Medicine, Public Health, Education, and Social Work. Located in the Washington DC metropolitan area, faculty benefit from an array of other resources including close collaborative ties with neighboring institutions (e.g., Children?s National Medical Center; National Institutes of Health; Walter Reed National Military Medical Center; Mental Illness Research, Education and Clinical Center/Baltimore). In addition, the University of Maryland is home to the new Brain and Behavior Institute (BBI), which is a centralized community of ~ 150 research scientists from a range of disciplines pursuing the common goal of bold, impactful research on brain and behavior. By fostering excellence and innovation, and promoting collaborations between neuroscience and engineering, computer science, mathematics, physical sciences, cognitive sciences, and humanities, the BBI provides the platform for the elevation and expansion of campus neuroscience. Application materials should be submitted no later than November 1, 2021 through https://ejobs.umd.edu/postings/86231 and should include: a cover letter, CV, statement of current and future research interests and research philosophy, a statement of teaching philosophy and experience (including evidence of teaching excellence, if available), and contact information for three references. Applicants should provide sample research manuscripts or journal articles in the Supplemental Document 1 field in eJobs. Because the Department of Psychology is committed to increasing the diversity of the campus community and promoting inclusion across campus, materials should address how the candidate will contribute to fostering a diverse and inclusive community. In addition, the Department embraces the values of open and reproducible science, and candidates are encouraged to address how they have pursued and/or plan to pursue these goals in their work. For inquiries, please contact the search committee chair, Dr. Alex Shackman (shackman at umd.edu). The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions. The University of Maryland has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University System of Maryland (USM) recently announced that students, faculty, and staff on USM campuses this fall, including UMD, are required to be vaccinated against COVID. As a prospective and/or a new employee at UMD, you will be required to comply with the University?s vaccination protocol. Proof of full vaccination will be required before the start of employment in order to work at any University of Maryland location. Prospective or new employees may seek a medical or religious exemption to the vaccination requirement at return.umd.edu and must have an approved exemption prior to the start of their employment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From frederic.alexandre at inria.fr Wed Sep 1 17:05:31 2021 From: frederic.alexandre at inria.fr (Frederic ALEXANDRE) Date: Wed, 1 Sep 2021 23:05:31 +0200 Subject: Connectionists: Online Workshop on Problem Solving on Sep. 14 2021 Message-ID: <915DFB4E-8BA7-4EF9-BC28-05F05A662DD0@inria.fr> Dear colleagues, We have the pleasure to announce the First French-Chinese Workshop on Problem Solving to be held remotely on Tuesday September 14th 2021 from 8am to12am CET / 2pm to 6pm CST. Registration is free but mandatory, please follow: https://app.livestorm.co/inria-14/first-french-chinese-workshop-on-problem-solving?type=detailed Scientific positioning: In order to study and decipher cognition, related scientific domains like neuroscience, artificial intelligence and social sciences are mostly working on experimenting and modeling elementary mechanisms and functions like perceptive scene identification, decision making, or sensorimotor learning. Accordingly, they must consider experimental situations artificially designed to isolate the functions. This decomposition has allowed important progress in understanding cognitive primitives but it probably misses some important principles associating them toward a unique and flexible cognition. Based on this statement, in this workshop, we propose to discuss the possibility of studying cognition at work in the context of normal life, more precisely considering the case of problem solving. What happens in the brain when one has not to solely trigger a unique function but to consider an unstable situation and find the good response to remedy it ? When important clues to consider might be internal or external, mobilize implicit or explicit memory ? Whereas the situation probably involves evoked elementary mechanisms, how does it combine them? Has it recourse to additional ones ? In the aim of proposing an operational definition of problem solving and better understanding its mechanisms, the workshop will discuss such questions as: What is interesting but what are the envisioned difficulties with problem solving ? What could be interesting settings to approach it ? How far are we from studying problem solving in well mastered experimental conditions? Six distinguished speakers specialist in different fields of cognitive science will evoke their work in this perspective. Time for discussion including a final round table is also planned for considering necessary aspects of multidisciplinary exchange. Invited Speakers: Tianming Yang, Institute of Neuroscience, CAS, CN "Monkey Pac-Man: An animal model for studying problem solving" Emmanuel Procyk, Stem Cell & Brain Research Institute, Inserm, FR "Problem-solving: links to adaptative decision-making and prefrontal functions ? Junliang Xing, institute of Automation, CAS, CN "Learning to Explore an Unknown World from an Intelligent Agent's Perspective" Mehdi Khamassi, Sorbonne University, CNRS, FR "Problem-solving as retrospective and prospective search in memory and imagination ? Xiaohong Wan, Beijing Normal University, CN "Problem-solving driven by internal and external motivations" Vicky Charisi, JRC?s Centre for Advanced Studies, EU "The impact of robot interventions on children's problem-solving process ? Organizers: Prof. Shan Yu (Institute of Automation, Brainnetome Center, Chinese Academy of Sciences) Dr. Frederic Alexandre and Dr. Jianyong Xue (Inria, Institute of Neurodegenerative Diseases, University of Bordeaux) Full programme at: https://www.labri.fr/perso/falexand/Workshop_Problem_Solving_2021.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.ferone at uniparthenope.it Wed Sep 1 12:45:20 2021 From: alessio.ferone at uniparthenope.it (ALESSIO FERONE) Date: Wed, 1 Sep 2021 16:45:20 +0000 Subject: Connectionists: =?utf-8?q?WILF2021_=E2=80=93_Last_submission_dead?= =?utf-8?q?line_extension_to_24th_September?= Message-ID: ... Apologies for multiple posting ... Back together again! ------------------------------------------------------------------- Workshop WILF 2021 (13th International Workshop on Fuzzy Logic and Applications) from Dec. 20th to Dec. 22th at Vietri sul Mare (SA), Italy (IIASS) and online For full information: https://sites.google.com/view/wilf-2021/home ------------------------------------------------------------------- NEWS ? Submission deadline (last extension) In response to the requests from many authors, we are pleased to announce an extension of the paper submission deadline. The new submission deadline for WILF 2021 is September 24, 2021 ? Incoming Special Issues Two Special Issues on Soft Computing and Information Sciences will be organized on the main topics of the conference. Updates coming soon on the website. Keynote speakers ? Humberto Bustince (Public University of Navarra, Spain) o Extensions of fuzzy integrals and applications to the computational brain ? Scott Dick (University of Alberta, Canada) o Fuzzy Logic and XAI: Past, Present, and Some Thoughts on the Future ? Didier Dubois (IRIT, France) o Fuzzy sets: the legacy and its future Important Dates - Paper submission (last extension): September 24, 2021 - Notification of acceptance + early registration opening: October 29, 2021 - Special Issue submission opening: November 1, 2021 (tentative) - Camera-ready + early registration deadline: November 26, 2021 - EUSFLAT student grant applications: November 26, 2021 - Late registration deadline: t.b.d. - Special Issue submission deadline: January 28, 2022 - Special Issue publication: Fall 2022 Aim and Scope The 13th International Workshop on Fuzzy Logic and Applications (WILF 2021) covers all topics in theoretical, experimental and applied Fuzzy and Computational Intelligence techniques and systems. It is aimed to bring together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances in this field, and to demonstrate the state-of-the-art systems. Three types of talks The main aim of WILF 2021 is to allow scientific communication and fruitful exchange of opinions. A lightweight approach is adopted to foster participation and promote the exchange of ideas. To provide room for discussing present, past and future research topics, the following types of talks are called for: ? Regular communications - Current, unpublished work that is being presented for the first time. ? Ideas - New research directions, opinions, position talks: promising or interesting work that does not fit the standards for conventional publication. ? Research highlights - Talks summarising work that was recently (3 years) published in prominent journals, intended to increase awareness about interesting work. Publication ? Short-form papers for all presentations will be published in a volume of CEUR Workshop Proceedings in the AI*IA proceedings series (http://ceur-ws.org/aixia.html). ? Special Issues of high-rank journals will be organised as a follow-up for possible submission of full papers on the topics of the workshop. EUSFLAT Student grants EUSFLAT will provide four students with a 150? grant. Organizing Committee * Angelo Ciaramella - Universit? degli Studi di Napoli Parthenope, Italy * Corrado Mencar - Universit? degli Studi di Bari Aldo Moro, Italy * Susana Montes - Universidad de Oviedo, Spain * Stefano Rovetta - Universit? degli Studi di Genova, Italy Steering Committee * Angelo Ciaramella - University of Naples Parthenope, Italy * Antonio Di Nola - University of Salerno, Italy * Luis Magdalena - Universidad Politecnica de Madrid, Spain * Francesco Masulli - University of Genova, Italy * Gabriella Pasi - University of Milan Bicocca, Italy * Witold Pedrycz - University of Alberta, Canada Contact wilf.2021.vsm at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Thu Sep 2 08:38:57 2021 From: junfeng989 at gmail.com (Jun Feng) Date: Thu, 2 Sep 2021 20:38:57 +0800 Subject: Connectionists: CFP: IEEE DependSys/SmartCity/DSS/GPC-2021, Dec. 17-19, Haikou, China [Submission Deadline: Sep. 15][10+ Special Issues] Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= CFP IEEE DependSys 2021: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications http://www.ieee-cybermatics.org/2021/dependsys/ CFP IEEE SmartCity 2021: The 19th IEEE International Conference on Smart City http://www.ieee-cybermatics.org/2021/smartcity/ CFP IEEE DSS 2021: The 7th IEEE International Conference on Data Science and Systems http://www.ieee-cybermatics.org/2021/dss/ CFP GPC 2021: The 16th International Conference on Green, Pervasive, and Cloud Computing http://www.ieee-cybermatics.org/2021/gpc/ [Submission Deadline: Sep. 15][10+ Special Issues] [Dec. 17-19, Haikou, China] The IEEE DependSys/SmartCity/DSS/GPC-2021 Conferences will be held at Haikou, China, December 17-19, 2021. We will be pretty happy to see all authors manage to attend DependSys/SmartCity/DSS/GPC-2021. However, given the COVID-19 pandemic and associated travel restrictions, as the safety of people is of the highest priority, we know that special circumstances are best handled by having flexible options, and thus we are offering the option of either physical presence or virtual participation. Please consider to contribute and submit your original research papers to DependSys/SmartCity/DSS/GPC-2021. ============================================================================= IEEE DependSys/SmartCity/DSS/GPC-2021 are sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 10+ SCI & EI indexed prestigious journals (confirmed). 1. IEEE Transactions on Intelligent Transportation Systems SI on Graph-based Machine Learning for Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_db671bf4e4eb4a41ac1cf6da14a77750.pdf 2. IEEE Transactions on Intelligent Transportation Systems SI on Data Science for Cooperative Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_de7a6f420a2b4c6d894e4de63e495624.pdf 3. IEEE Transactions on Network Science and Engineering SI on The Nexus Between Edge Computing and AI for 6G Networks https://www.comsoc.org/publications/journals/ieee-tnse/cfp/nexus-between-edge-computing-and-ai-6g-networks 3. IEEE/ACM Transactions on Computational Biology and Bioinformatics SI: Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare https://www.computer.org/digital-library/journals/tb/call-for-papers-special-issue-on-deep-learning-empowered-big-data-analytics-in-biomedical-applications-and-digital-healthcare 5. Security and Communication Networks SI on Protocols, Technologies, and Infrastructures for Secure Mobile Video Communications https://www.hindawi.com/journals/scn/si/926306/ 6. MDPI Sensors SI on Recent Advances in Algorithm and Distributed Computing for the Internet of Things https://www.mdpi.com/journal/sensors/special_issues/Algorithm_Distributed_Computing_IOT 7. International Journal of Distributed Sensor Networks SI: Privacy-Preserving Solutions in the Internet of Things https://journals.sagepub.com/page/dsn/collections/special-issues/privacy-preserving-solutions-in-the-internet-of-things 8. IET Communications SI on Intelligent Metasurfaces for Smart Connectivity https://digital-library.theiet.org/files/IET_COM_CFP_IMSC.pdf 9. Building and Environment SI: AI and IoT Applications of Smart Buildings and Smart Environment Design, Construction and Maintenance https://www.journals.elsevier.com/building-and-environment/call-for-papers/ai-and-iot-applications-of-smart-buildings-and-smart-environment-design-construction-and-maintenance 10. Journal of Systems Architecture SI: Cloud-Edge-End Architecture for Internet of Things Applications https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/special-issue-on-cloud-edge-end-architecture-for-internet-of-things-applications-vsi-cloud-edge-end-iot 11. Information SI: "Crossing ?Data, Information, Knowledge, and Wisdom? Models?Challenges, Solutions, and Recommendations" https://www.mdpi.com/journal/information/special_issues/DIKW_RA_2021 * More special issues will be added later. ================== Important Dates ================== Paper Submission Deadline: 15 September, 2021 Authors Notification: 15 October, 2021 Final Manuscript Due: 15 November, 2021 Conference Date: 17-19 December, 2021 ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N28864) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jasper.bischofberger at posteo.de Thu Sep 2 08:35:45 2021 From: jasper.bischofberger at posteo.de (Jasper Bischofberger) Date: Thu, 2 Sep 2021 12:35:45 +0000 Subject: Connectionists: DEADLINE EXTENDED: Summer School on Network and Control Sciences for Psychiatry Message-ID: <89dbd029-5272-f500-50e6-bcb3cc1057e4@posteo.de> Dear all, We are happy to announce a Summer School on ??? ?Current and Future Applications of Network and Control Sciences for Psychiatry? Host Institution: *University of T?bingen, Germany* Location: *Online event* Dates: *September 29th ? October 1st 2021* Abstract deadline: *September 10th, 2021* Registration fees: *free* *Focus* This Summer School gives an opportunity to students and young researchers to get acquainted with and exchange within a range of current topics in network and control sciences and its applications in Psychiatry. ____ *Keynotes* Danielle S. Bassett (University of Pennsylvania, USA) Peter Dayan (MPI T?bingen, Germany) John Medaglia (Drexel University, USA) For the full list of speakers visit: https://www.medizin.uni-tuebingen.de/de/summer-school-controlpsychiatry/speakers ____ *Registration* The summer school is free of charge for all participants, but to get all important information please register online via: https://www.medizin.uni-tuebingen.de/de/summer-school-controlpsychiatry ____ *Poster Submission* Participants can present their latest research results as a poster. Some of the most relevant submissions will have the possibility to present their work in a dedicated oral session and receive an official certificate. Please submit your abstract (limited to 250 words) latest by September 10th to: controlpsychiatry at med.uni-tuebingen.de ____ Questions? Please contact: controlpsychiatry at med.uni-tuebingen.de We are excited to see you soon! Best wishes, The organizing committee -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Flyer_Summer School 2021_ControlPsychiatry.pdf Type: application/pdf Size: 964039 bytes Desc: not available URL: From pmasulli at e-nns.org Thu Sep 2 09:26:12 2021 From: pmasulli at e-nns.org (Paolo Masulli ENNS) Date: Thu, 2 Sep 2021 15:26:12 +0200 Subject: Connectionists: ICANN 2021 Call for participation - 30th International Conference on Artificial Neural Networks, Sept 14-17, ONLINE Message-ID: <2dedd3a6-4757-7152-73d4-aee856700c1c@e-nns.org> 30th International Conference on Artificial Neural Networks ICANN 2021 ONLINE https://e-nns.org/icann2021 ONLINE 14 - 17 September 2021 ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2021 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 30th ICANN Conference from the 14th to the 17th of September 2021. *The conference is held fully online.* *Conference program:* https://e-nns.org/icann2021/conference-programme/ *KEYNOTE SPEAKERS *Marc-Oliver Gewaltig ? EPFL, Switzerland Alessandro Sperduti ? Padova, Italy Jochen Steil ? Technische Universit?t Braunschweig, Germany Peter Tino ? Birmingham, U.K.* * *CONFERENCE TOPICS* ICANN 2021 features tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and action. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *ORGANISATION* General Chairs: Igor Farka? (FMPI, Comenius University in Bratislava, Slovakia) ?ubica Be?u?kov? (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Krist?na Malinovsk? (FMPI, Comenius University in Bratislava, Slovakia) Sebastian Otte (University of T?bingen, Germany) Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) V?ra K?rkov?, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: kjkkfonoiedbifel.png Type: image/png Size: 8934 bytes Desc: not available URL: From ioannakoroni at csd.auth.gr Thu Sep 2 11:35:29 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 2 Sep 2021 18:35:29 +0300 Subject: Connectionists: Free attendance of the 'AI Mellontology (futurology)' e-symposium 15/9/2021 References: <005201d79fed$d2702770$77507650$@csd.auth.gr> <008301d79ff1$891505b0$9b3f1110$@csd.auth.gr> <007601d79ff3$001626c0$00427440$@csd.auth.gr> Message-ID: <0b5d01d7a010$29268470$7b738d50$@csd.auth.gr> Dear AI researcher, scientist, engineer, student, enthusiast, you are welcomed to attend the 'AI Mellontology (futurology)' e-symposium (https://event.ai4media.eu/ai-mellontology-e-symposium-2021) on 15/9/2021 for free. No registration is needed. Horizon2020 AI flagship R&D projects: AI4Media and ELISE , together with the International AI Doctoral Academy (AIDA) joined forces in sponsoring this event. The program and the participation link are attached. More details on the panel topic descriptions can be found in the www page. There will be 3 AI science/technology sessions in the morning and 3 AI society / industry / economy sessions in the afternoon. Participants will debate the ?AI future ?, namely hot AI research issues of any form on any scientific, societal, industrial/economic AI aspect. Session panelists will make their short statements during each panel to initiate discussion by the audience. Discussion will be informal, hopefully lively and hot aiming to debate contrasting views (thesis-antithesis) on each issue. You are welcome to a) see panelist and other views and voice your own views on any panel topic, by using the ?Voice your views? area, b) propose your own AI grand challenge and c) actively participate in each panel discussion. The more innovative, futuristic, even provocative your views are, the better. The discussion will be conducted though in a scientific way and in good faith. The entire discussion and contributions will be compiled later on in a public ?AI research white paper? that will be used to guide R&D anywhere in the world, notably in the framework of AIDA and Horizon2020 ICT48 R&D projects. Here are some notable panel topic examples: 1. Knowledge is the basis of our society, yet it is not formally quantified. How can we quantify knowledge, knowledge aggregation and transfer (education)? 2. How can we build trustworthy and humanistic AI, while still advancing economic growth and competitiveness? For any questions, you can contact the e-symposium secretary Mrs. Ioanna Koroni koroniioanna at csd.auth.gr (for organization matters) or Prof. Ioannis Pitas pitas at csd.auth.gr (for scientific matters). On behalf of the Organizing Committee Prof. Ioannis Pitas AI Mellontology e-symposium chair AI Mellontology (futurology) e-symposium Date: 15/9/2021 www page: https://event.ai4media.eu/ai-mellontology-e-symposium-2021 Zoom link for free participation: https://authgr.zoom.us/j/96014032511 AI Mellontology (futurology) e-symposium Program 15/9/2021 9:00-9:15 Opening (Prof. Ioannis Pitas) Panel-initiated discussions Scientific/technical panel topics (morning sessions 9:00-13:00 CEST, Coordinator: Prof. N. Cesa-Bianchi) 9:15-10:15 Dr. S. Papadopoulos and Dr. N. Sarris ?Navigating Disinformation Landscapes within Synthetic Realities. AI a friend or a foe??, Panelists: Prof. M. Bielikova, R. Fletcher, A. F?lstad. R. Tudor Ionescu. 10:15-11:15 Prof. N. Sebe, ?New Learning Methods?, Panelists: Prof. A. Del Bimbo, Prof. C. Snoek, Prof. 11:15-11:45 Coffee break 11:45-12:45 Prof. I. Pitas, ?Grand AI challenges? Social panel topics (afternoon sessions 14:00-18:00 CEST, Coordinator: Dr. Ioannis Kompatsiaris, CERTH/ITI) 14:00-15:00 Prof. T. Tommasi, B. Caputo ?Fairness Certification in AI?, Panelists: G. Bernini, M. Haataja, Prof. B. Nessler, Prof. T. Tommasi. 15:00-16:00 K. Heine ?Legal Personality of AI?, Panelists: Prof. K. Heine; Dr. A. Quintavalla 16:00-16:30 Coffee break 16:30-17:30 Prof. I. Pitas ?AI Act and GDPR impact on European growth and competitiveness?, Panelists: E. Girardi, Prof. I. Pitas, S. Scalzo, Prof. P. Van Cleynenbreugel 17:30-18:00 AI Mellontology follow-up: AI white paper. AI challenges (all, Chair: Prof. Ioannis Pitas) -- 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 iswc.conf at gmail.com Thu Sep 2 17:16:31 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 2 Sep 2021 17:16:31 -0400 Subject: Connectionists: CfP ISWC 2021 - Call for Lightning Talks Message-ID: *20th International Semantic Web Conference (ISWC 2021)* Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org Call for Lightning Talks ******************************************* The Lightning Talks continue the Minute Madness tradition at the International Semantic Web Conference that started back in 2011. It has always been an entertaining session that provides conference participants with a quick and fun overview of what is going on in the ISWC community. This session will be opened up to every conference attendee to submit a contribution to the Lightning Talks call. Although we aim to accommodate as many talk proposals as possible, the submissions, in the form of a 1-minute video, will be ranked by the Poster and Demo Program Committee and the best 20 contributions will be selected. More details: https://iswc2021.semanticweb.org/lightning-talks Track Chairs: - Catia Pesquita (LASIGE Faculdade de Ci?ncias Universidade de Lisboa, Portugal) - Oshani Seneviratne (Rensselaer Polytechnic Institute, NY, USA) ***** Important Dates ***** Submissions due: September 30 2021 (Anywhere on Earth) Submission URL: https://bit.ly/iswc21-lightning-talk-submission Follow ISWC 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 The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From jaakko.peltonen at aalto.fi Fri Sep 3 03:35:22 2021 From: jaakko.peltonen at aalto.fi (Peltonen Jaakko) Date: Fri, 3 Sep 2021 07:35:22 +0000 Subject: Connectionists: CFP: Big Data and Cognitive Computing, Special Issue "Recommendation, Information Retrieval, and Exploratory Search" Message-ID: Dear Colleagues, Recommendation, information retrieval, and exploratory search are prominent, interrelated tasks in intelligent information access. Recommender systems perform information filtering and predict ratings or preferences of users among different content items, based on incomplete information on content features and user preferences, with multiple approaches such as collaborative and content-based filtering approaches and reinforcement learning approaches. Information retrieval, in turn, aims at retrieving and ranking content based on its relevance to a user's information need, often expressed by a query and its refinements through filtering and relevance feedback, ranging from general web search to product search and other domain-specific search settings. Lastly, exploratory search can be seen as an information retrieval setting where the user must not only retrieve relevant results but also become familiar with a body of knowledge to complete more complex tasks, so that the specific search intent may evolve as the task goes on. For each of these general tasks, several models of content, including language models for text and content models of other data types, models of user intent, scoring methods, interaction paradigms and interfaces, and evaluation methodologies, have been designed. These are based on a variety of statistical and machine learning approaches, as well as several approaches from information visualization, visual analytics and human?technology interaction for interactive systems. In this Special Issue, we are seeking articles that represent the state of the art and novel approaches in these different tasks. We are especially interested in articles in the intersection of these tasks: targeting a combination of their settings and learning goals, or bridging methodological approaches across the tasks. See details at: https://www.mdpi.com/journal/BDCC/special_issues/Recommendation Submission deadline: September 30, 2021 Best regards, Jaakko Peltonen, editor of the special issue; professor, Tampere University, Finland From george at cs.ucy.ac.cy Fri Sep 3 03:18:35 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Fri, 3 Sep 2021 10:18:35 +0300 Subject: Connectionists: 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022): Second Call for Papers and Special Sessions Message-ID: *** Second Call for Papers and Special Sessions *** 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022) May 25-27, 2022, Golden Bay Hotel 5*, Larnaca, Cyprus http://cyprusconferences.org/eais2022/ (Proceedings to be published by the IEEE Xplore Digital Library; Special Journal Issue with Evolving Systems, Springer) IEEE EAIS 2022 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamic changes. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviours, knowledge expansion scenarios and drifts in online data streams. Conference Topics Basic Methodologies Evolving Soft Computing Techniques. Evolving Fuzzy Systems. Evolving Rule-Based Classifiers. Evolving Neuro-Fuzzy Systems. Adaptive Evolving Neural Networks. Online Genetic and Evolutionary Algorithms. Data Stream Mining. Incremental and Evolving Clustering. Adaptive Pattern Recognition. Incremental and Evolving ML Classifiers. Adaptive Statistical Techniques. Evolving Decision Systems. Big Data. Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems. Online Feature Selection and Dimension Reduction. Online Active and Semi-supervised Learning. Online Complexity Reduction. Computational Aspects. Interpretability Issues. Incremental Adaptive Ensemble Methods. Online Bagging and Boosting. Self-monitoring Evolving Systems. Human-Machine Interaction Issues. Hybrid Modelling, Transfer Learning. Reservoir Computing. Applications of EAIS Time Series Prediction. Data Stream Mining and Adaptive Knowledge Discovery. Robotics. Intelligent Transport and Advanced Manufacturing. Advanced Communications and Multimedia Applications. Bioinformatics and Medicine. Online Quality Control and Fault Diagnosis. Condition Monitoring Systems. Adaptive Evolving Controller Design. User Activities Recognition. Huge Database and Web Mining. Visual Inspection and Image Classification. Image Processing. Cloud Computing. Multiple Sensor Networks. Query Systems and Social Networks. Alternative Statistical and Machine Learning Approaches. Special Sessions Distinguished researchers working in theory, analysis and applications of evolving adaptive and intelligent systems and related areas are encouraged to submit proposals within the technical scope of IEEE EAIS 2022. Researchers interested in organising special sessions are invited to submit a formal proposal to the Special Sessions Chair Gabriella Casalino (gabriella.casalino at uniba.it) and to the General Chair George Angelos Papadopoulos (george at cs.ucy.ac.cy), by specifying: - Special Session Lead Organiser email address, details and mini-bio - Co-Organiser(s) details and mini-bio (optional) - Special Session title - Aim and scope of the Special Session (~half a page) - A list of main topics of the Special Session - A list of potential/expected contributors Submissions Submitted papers should not exceed 8 pages plus at most 2 pages overlength. Submissions of full papers are accepted online through Easy Chair (https://easychair.org/conferences/?conf=eais2022). The EAIS 2022 proceedings will be published on IEEE Xplore Digital Library. Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of Evolving Systems - An Interdisciplinary Journal for Advanced Science and Technology (Springer). Important Dates ? Special Session submission: October 1, 2021 ? Special Session acceptance: October 10, 2021 ? Paper submission: January 10, 2022 ? Notification of acceptance/rejection: February 19, 2022 ? Camera ready submission: March 20, 2022 ? Authors registration: March 20, 2022 ? Conference Dates: May 25-27, 2022 Social Media FB: https://www.facebook.com/IEEEEAIS Twitter: https://twitter.com/IEEE_EAIS Linkedin: https://www.linkedin.com/events/2022ieeeconferenceonevolvingand6815560078674972672/ Organization Honorary Chairs ? Dimitar Filev, Ford Motor Co., USA ? Nikola Kasabov, Auckland University of Technology, New Zealand General Chairs ? George A. Papadopoulos, University of Cyprus, Nicosia, Cyprus ? Plamen Angelov, Lancaster University, UK Program Committee Chairs ? Giovanna Castellano, University of Bari, Italy ? Jos? A. Iglesias, Carlos III University of Madrid, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From timothee.proix at unige.ch Fri Sep 3 05:44:26 2021 From: timothee.proix at unige.ch (=?UTF-8?Q?Timoth=C3=A9e_Proix?=) Date: Fri, 3 Sep 2021 11:44:26 +0200 Subject: Connectionists: =?utf-8?q?Postdoc_position_in_neuroscience_and_co?= =?utf-8?q?mputational_linguistics_at_University_of_Geneva?= Message-ID: Dear all, The Swiss National Center for Competence in Research 'Evolving Language', which involves nearly 40 different research groups from a large variety of disciplines across Switzerland, seeks to fill a two-year postdoc position in neuroscience and computational linguistics. The position is part of the work package "Structure Planning", led by Anne-Lise Giraud in collaboration with the University of Z?rich and other NCCR members. The post-doc will primarily work at the University of Geneva (Campus Biotech) in Giraud's lab but will also spend time at the Department of Comparative Linguistics at the University of Zurich. Our goal is to understand how hierarchical syntactic structures are generated during speaking in the brain. The postdoc will use intracranial EEG data (e.g. neural oscillations) to study the neural underpinnings of syntactic planning processes in (mostly French) narrative speech, integrating methods from corpus and computational linguistics (e.g. machine learning techniques, information-theoretic measures, etc.) with EEG signals and speech patterns. More information is available at: https://jobs.unige.ch/www/wd_portal.show_job?p_web_site_id=1&p_web_page_id=52211 (English version at the bottom of the page). Best regards, Timoth?e Proix From dftschool at ini.rub.de Sun Sep 5 04:55:36 2021 From: dftschool at ini.rub.de (DFT Summer School) Date: Sun, 5 Sep 2021 10:55:36 +0200 Subject: Connectionists: Our free virtual summer school "Neural Dynamics for Embodied Cognition" starts tomorrow. Message-ID: <1fcedcb6-70a5-c4a5-1228-4732bca619d7@ini.rub.de> Please forward this advertisement to whoever you think might be interested. Our virtual summer school "Neural Dynamics for Embodied Cognition" with its free lecture series starts tomorrow. Feel free to join in. You can find the lecture schedule at: https://dynamicfieldtheory.org/events/summer_school_2021/#schedule For more information on the school see below. Thanks, Raul Grieben and Jan Tek?lve --- Virtual DFT School 2021 This year our summer school "Neural Dynamics for Embodied Cognition" will take place in virtual form from the 6th to the 11th of September, 2021. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and practical introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. This virtual edition of our summer school will consist of two parts: A live-lecture series and a hands-on workshop. The lecture series will be held as a video conference and provides a step-by-step introduction to Dynamic Field Theory. The lecture series will be held from the 6th to the 11th of September and the workshop takes place from the 9th to the 11th of September. Lectures will take place from 3 to 6 p.m. (CET) each day. Participation in any part of the school is free of charge. To apply for the lecture series, please visit our webpage: https://dynamicfieldtheory.org/events/summer_school_2021/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat Sep 4 04:32:00 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sat, 4 Sep 2021 11:32:00 +0300 Subject: Connectionists: 9th European Conference on Service-Oriented and Cloud Computing (ESOCC 2022): Early Call for Contributions Message-ID: *** Early Call for Contributions *** 9th European Conference on Service-Oriented and Cloud Computing (ESOCC 2022) March 22-24, 2022, Lutherstadt Wittenberg, Germany https://www.esocc-conf.eu Scope Service-oriented and cloud computing have made a huge impact both on the software industry and on the research community. Today, service and cloud technologies are applied to build large-scale software landscapes as well as to provide single software services to end users. Services today are independently developed and deployed as well as freely composed while they can be implemented in a variety of technologies, a quite important fact from a business perspective. Similarly, cloud computing aims at enabling flexibility by offering a centralised sharing of resources. The industry's need for agile and flexible software and IT systems has made cloud computing the dominating paradigm for provisioning computational resources in a scalable, on- demand fashion. Nevertheless, service developers, providers, and integrators still need to create methods, tools and techniques to support cost-effective and secure development as well as use of dependable devices, platforms, services and service- oriented applications in the cloud. The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier conference on advances in the state of the art and practice of service- oriented computing and cloud computing in Europe. The main objectives of this conference are to facilitate the exchange between researchers and practitioners in the areas of service-oriented computing and cloud computing, as well as to explore the new trends in those areas and foster future collaborations in Europe and beyond. Tracks - Main conference: three days of invited talks, panels, and presentations of selected research papers, including a dedicated day to satellite workshops. - PhD Symposium: an opportunity for PhD students to present their research activities and perspectives, to critically discuss them with other PhD students and with established researchers in the area, hence getting fruitful feedback and advices on their research activities. - Projects Track: a useful opportunity for researchers to disseminate the latest research developments in their projects and meet representatives of other consortia. Details about all the tracks are available at the conference web site: https://www.esocc-conf.eu . Topics of interest ESOCC 2022 seeks original, high quality papers related to all aspects of service- oriented and cloud computing. Specific topics of interest include but are not limited to: - Service and Cloud Computing Models  ? Design patterns, guidelines and methodologies  ? Governance models  ? Architectural models  ? Requirements engineering  ? Formal Methods  ? Model-Driven Engineering  ? Quality models  ? Security, Privacy & Trust models  ? Self-Organising Service-Oriented and Cloud Architectures Models  ? Testing models - Service and Cloud Computing Engineering  ? Service Discovery, Matchmaking, Negotiation and Selection  ? Monitoring and Analytics  ? Governance and management  ? Cloud Interoperability, Multi-Cloud, Cross-Cloud, Federated Cloud solutions  ? Frameworks & Methods for Building Service and Cloud based Applications  ? Cross-layer adaptation  ? Edge/Fog computing  ? Cloud, Service Orchestration & Management  ? Service Level Agreement Management  ? Service Evolution/Optimisation  ? Service & Cloud Testing and Simulation  ? QoS for Services and Clouds  ? Semantic Web Services  ? Service mining  ? Service & Cloud Standards  ? FaaS / Serverless computing - Technologies  ? DevOps in the Cloud  ? Containerized services  ? Emerging Trends in Storage, Computation and Network Clouds  ? Microservices: Design, Analysis, Deployment and Management  ? Next Generation Services Middleware and Service Repositories  ? RESTful Services  ? Service and Cloud Middleware & Platforms  ? Blockchain for Services & Clouds  ? Services and Clouds with IoT  ? Fog Computing with Service and Cloud - Business and Social aspects  ? Enterprise Architectures for Service and Cloud  ? Service-based Workflow Deployment & Life-cycle Management  ? Core Applications, e.g., Big Data, Commerce, Energy, Finance, Health, Scientific Computing, Smart Cities  ? Business Process as a Service - BPaaS  ? Service and Cloud Business Models  ? Service and Cloud Brokerage  ? Service and Cloud Marketplaces  ? Service and Cloud Cost & Pricing  ? Crowdsourcing Business Services  ? Social and Crowd-based Cloud  ? Energy issues in Cloud Computing  ? Sustainability issues Submissions from industry are welcome (for example, use cases). Submissions ESOCC 2022 invites submissions in all the tracks: - Regular research papers (15 pages including references) - PhD Symposium (8 pages including references, authored by the PhD student with indication of his/her supervisors' names) - Projects Track (1 to 5 pages including references, describing an ongoing project) We only accept original papers, not submitted for publication elsewhere. The papers must be formatted according to the LNCS proceedings guidelines. They must be submitted to the EasyChair site at https://easychair.org/conferences/?conf=esocc2022 by selecting the right track. All accepted regular research papers are expected to be published in the main conference proceedings by Springer in the Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/lncs). Accepted papers of the other tracks and the satellite workshops are expected to be published by Springer in the Communications in Computer and Information Science (CCIS) series (https://www.springer.com/series/7899). At least one author of each accepted paper is expected to register and present the work at the conference. A journal special issue is planned, and authors of selected accepted papers will be invited to submit extended versions of their articles. Workshop Proposals ESOCC 2022 also invites proposals for satellite workshops. More details about the proposal format and submission can be found at https://esocc-conf.eu/index.php/workshops/ . Important Dates Regular research & industrial papers: - Paper submission: 31 October 2021 - Notifications: 7 January 2022 - Camera Ready versions due: 20 January 2022 Projects track: - Paper submission: 14 January 2022 - Paper notification: 25 February 2022 - Camera Ready Version: 11 March 2022 PhD Symposium Track: - Paper submission: 14 January 2022 - Paper notification: 25 February 2022 - Camera Ready Version: 11 March 2022 Industrial Track: - Paper submission: 14 January 2022 - Paper notification: 25 February 2022 - Camera Ready Version: 11 March 2022 Satellite Workshops: - Workshop Proposal submission: 8 October 2021 - Workshop Proposal notification: 15 October 2021 - Workshop Paper submission: 14 January 2022 - Workshop Paper notification: 25 February 2022 - Workshop Camera Ready Version: 11 March 2022 Organization General Chair ? Wolf Zimmermann (Martin Luther University Halle-Wittenberg, Germany) Programme Co-Chairs ? Fabrizio Montesi (University of Southern Denmark, Denmark) ? George A. Papadopoulos (University of Cyprus, Cyprus) Industrial Track Chair ? Andreas Both (Anhalt University of Applied Science) Projects Track Chair ? Damian Tamburri (Technical University Eindhoven) Workshops Co-Chairs ? Guadalupe Ortiz (University of C?diz, Spain) ? Christian Zirpins (Karlsruhe University of Applied Science) PhD Symposium Co-Chair ? Jacopo Soldani (University of Pisa) ? Massimo Villari (University of Messina) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Sun Sep 5 07:45:36 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Sun, 5 Sep 2021 19:45:36 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Registrations Open Message-ID: <51cf3100.1f3ff.17bb5c735e2.Coremail.jiangdm@nwpu.edu.cn> Registrations Open *************************************** ACM ICMI 2021: Registrations Open https://icmi.acm.org/2021/index.php?id=registration 18-22 Oct 2021, Montreal, Canada *************************************** The online registration portal for ACM ICMI 2021 is now open! Please visit https://icmi.acm.org/2021/index.php?id=registration for details and to register. ICMI-2021 is currently being planned in HYBRID FORM - the conference will happen both physically in Montreal and virtually, giving the opportunity to connect to all of you that won't be able to make it to Montreal. We will have 34 oral presentation, 66 posters, 9 Doctoral Consortium presentation, and 3 Blue Sky presentations. Please visit https://icmi.acm.org/2021/index.php?id=accepted for a full list of accepted papers. Key Dates for Registration: Early registration: before/on September 20 Late registration: before/on October 14 Note on registration: - A student registration covers one regular (long or short) paper, whereas a full (non-student) registration covers up to two regular (long or short) papers. - A student or full registration covers auxiliary papers (e.g., Doctoral Consortium, Late Breaking Work, Challenges, Workshop) - The Conference registration covers three main days of conference events (October 19 -21) and two days of co-located workshops, tutorials, challenges, and Doctoral Consortium (October 18 and 22). - The In-Person registration includes coffee breaks on all five days, lunch on the three main conference days, a reception on October 19, and the banquet on October 20. - A workshop-only registration covers only the workshop day. The 23rd ACM International Conference on Multimodal Interaction (ICMI 2021) will be held in Montreal, Canada October 18-22, 2021. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The main conference themes in 2021 will be behavioral health and virtual connectivity, but other major topics of central interest include human communication and multimodal language/dialogue processing, human-robot/agent interaction, affective computing and social interaction, cognitive modeling, multimodal representations and fusion-based architectures, machine learning for multimodal interaction and system applications, speech, gesture, haptics, olfaction, gaze and vision, multimodal datasets and platforms, mobile and ubiquitous interfaces, interfaces for virtual/augmented reality, smart environments, and assistive technologies. ------------------------------------------------------------------------------- Dongmei Jiang Professor, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From mschilli at techfak.uni-bielefeld.de Fri Sep 3 12:10:52 2021 From: mschilli at techfak.uni-bielefeld.de (Malte Schilling) Date: Fri, 3 Sep 2021 18:10:52 +0200 Subject: Connectionists: Workshop Call for Contribution on Trustworthy AI in the Wild - Extended Deadline Message-ID: <88AF137C-F72B-42BF-A621-4B1DFD511E2A@techfak.uni-bielefeld.de> We want to advertise our workshop on Trustworthy AI and invite contributions (including and encouraging early work). Regards Barbara Hammer, Malte Schilling, Laurenz Wiskott ========================================================== 2021 KI in Berlin, to be held virtually Workshop on Trustworthy AI in the wild Half-day workshop on 27th of September 2021 AI solutions start to have an enormous impact on our lives: they are key enabler of future digital industry, potential game-changer for experimentation and discovery in science, and prevalent technology in everyday services such as internet search or human-machine communication. Moreover, AI is involved in the solutions of humans? grand challenges, examples being AI-based environment-friendly mobility concepts, augmentation of human capabilities by intelligent assistive systems in an ageing society, or support in developing medical therapies or vaccines. Yet, the very nature of AI technologies includes a number of novel threats which need to be addressed for trustworthy AI: many machine learning models act as black boxes which can lead to unexpected behavior, for example, when human and machine perception differ considerably. As models are trained on real-life data, there is the risk that such AI models allow for unauthorized access to sensitive information that might be contained in the data. Furthermore, data biases ?caused by spurious correlations in the data? can be captured by ML models and their predictions, leading to systematically disadvantages for specific individuals or (e.g. ethnic) groups. The ubiquity of AI in virtually every aspect of life, therefore, has an enormous impact on the way in which we as a society communicate, work, decide, and interact. Hence novel concepts on how to guarantee security, safety, privacy, and fairness of AI and how to create AI systems which support humans rather than incapacitating them are of uttermost importance and are constituting the research area on Trustworthy AI. Trustworthy AI aims for technologies that not only provide solutions to an earlier defined task, but that as well allow for insight on the functioning of the underlying system. Why did the system acted in a certain way and did not choose a different solution? Which features were important for the decision and how sure is the system of its choice, i.e. can I trust this decision? The workshop aims, first, at understanding Machine Learning based approaches towards explainable AI solutions. Secondly, a focus of the workshop is on how we can make AI solutions more trustworthy. The goal of the workshop is to discuss existing concepts of trustworthy AI and provide a platform for the formulation of new ideas and proposals to overcome existing limitations. The workshop aims at interested researchers with a background in machine-learning (supervised and unsupervised learning, reinforcement learning), traditional AI techniques (reasoning, planning), robotics (humanoids, probabilistic robotics), HMI/HRI, and multi-agent systems (coordination and cooperation). TOPICS OF INTEREST -------------------------------- - Testable criteria for trustworthy AI technologies - How to guarantee the privacy and security of AI technologies? - Legal, ethical, and societal implications of AI solutions - How can systems be autonomous and safe? In interaction with humans, systems should be guaranteed to act safely and not endanger humans or other agents. - human agency, autonomy, and oversight - technical robustness and safety: reliability, resilience to attacks, reproducibility - privacy and data governance - transparency and explainability - diversity, non-discrimination and fairness - accountability OVERVIEW PROGRAM -------------------------------- Overall, the workshop aims at a multidisciplinary perspective on key aspects and challenges of Trustworthy AI and in particular when in interaction with humans. Therefore, the presentations will reflect the diversity of approaches and topics as well as there will be ample time for discussion. The half-day workshop will consist of invited talks from AI and Machine Learning and we are open for contributed talks. Overall, we plan with five talks. Two sessions of three talks (each half an hour). The first session will be concluded by short presentations for the posters (poster flashlight). Confirmed Speakers: - Prof. Marc Toussaint, Head of the Learning & Intelligent Systems Lab at the EECS Faculty of TU Berlin - Prof. Isabel Valera, Department of Computer Science of Saarland University, Saarbr?cken SUBMISSION ------------------- Participants are invited to submit a contribution (via email: mschilli at techfak.uni-bielefeld.de) as an extended abstract (maximum 2 pages in length). Contributions will be reviewed and selected by the organizers. Contributions can be made in three categories: - for contributed talks (of around 15 minutes plus discussion); - for poster presentation (using a spatial chat platform for our virtual poster session); - for presentation of proposed or planned projects or starting initiatives in the area of trustworthy AI (this will be part of the poster session, in which an initiative can get one or multiple posters presenting their plans and goals in order to invite discussion). The workshop contributions will appear as online proceedings on the workshop webpage. We want to give researchers a chance to present their (ongoing or planned) work. But we also want to provide a forum for relevant work that has recently been published in journals and other conferences. IMPORTANT DATES ---------------------------- September 10th, 2021, submission deadline. September 27, 2021, Day of the workshop 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=343 Organizers: Barbara Hammer (CITEC, Bielefeld University, Germany), Malte Schilling (Machine Learning Group, Bielefeld University), Laurenz Wiskott (Institute for Neural Computation, Ruhr-University Bochum). From jiangdm at nwpu.edu.cn Sun Sep 5 04:13:38 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Sun, 5 Sep 2021 16:13:38 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Announcing Accepted Papers Message-ID: <32bba2f7.1f1ef.17bb505255d.Coremail.jiangdm@nwpu.edu.cn> Announcing Accepted Papers *************************************** ACM ICMI 2021: Announcing Accepted Papers https://icmi.acm.org/2021/index.php?id=accepted 18-22 Oct 2021, Montreal, Canada *************************************** The list of papers accepted to be presented at ACM ICMI 2021 has been announced. We will have 34 oral presentation, 66 posters, 9 Doctoral Consortium presentation, and 3 Blue Sky presentations! Please visit https://icmi.acm.org/2021/index.php?id=accepted for a full list of accepted papers. ACM ICMI-2021 is currently being planned in HYBRID FORM - the conference will happen both physically in Montreal and virtually, giving the opportunity to connect to all of you that won't be able to make it to Montreal. Registrations will open soon and please visit https://icmi.acm.org/2021/index.php?id=registration for details, including in-person and virtual rates. Key Dates for Registration: Early registration: before/on September 20 Late registration: before/on October 14 Note on registration: - A student registration covers one regular (long or short) paper, whereas a full (non-student) registration covers up to two regular (long or short) papers. - A student or full registration covers auxiliary papers (e.g., Doctoral Consortium, Late Breaking Work, Challenges, Workshop) - The Conference registration covers three main days of conference events (October 19 -21) and two days of co-located workshops, tutorials, challenges, and Doctoral Consortium (October 18 and 22). - The In-Person registration includes coffee breaks on all five days, lunch on the three main conference days, a reception on October 19, and the banquet on October 20. - A workshop-only registration covers only the workshop day. The 23rd ACM International Conference on Multimodal Interaction (ICMI 2021) will be held in Montreal, Canada October 18-22, 2021. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The main conference themes in 2021 will be behavioral health and virtual connectivity, but other major topics of central interest include human communication and multimodal language/dialogue processing, human-robot/agent interaction, affective computing and social interaction, cognitive modeling, multimodal representations and fusion-based architectures, machine learning for multimodal interaction and system applications, speech, gesture, haptics, olfaction, gaze and vision, multimodal datasets and platforms, mobile and ubiquitous interfaces, interfaces for virtual/augmented reality, smart environments, and assistive technologies. ------------------------------------------------------------------------------- Dongmei Jiang Professor, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.van.erp at dh.huc.knaw.nl Sat Sep 4 04:06:29 2021 From: marieke.van.erp at dh.huc.knaw.nl (Marieke van Erp) Date: Sat, 4 Sep 2021 10:06:29 +0200 Subject: Connectionists: Final CfP: K-CAP - The 11th International Conference on Knowledge Capture - deadline 15 September Message-ID: *apologies for cross-posting* ? Also check out the student support opportunities sponsored by SIGAI: https://sigai.acm.org/activities/student_support.html ! K-CAP 2021 The Eleventh International Conference on Knowledge Capture December 2 - 3, 2021 A virtual conference https://www.k-cap.org/2021/ *Call for Papers* The massive quantity and increasing availability of information on the Web have catalyzed research in a wide range of fields. Today's data-driven world, however, needs more than an abundance of information, and there is a broadening focus on information quality and accuracy. Given the increasing demand for higher quality, accurate information that can be effectively and unambiguously used, the study of precise and scalable knowledge capture is of crucial importance. Knowledge capture involves the extraction of useful knowledge from multiple, potentially heterogeneous sources, as well as its acquisition directly from human experts. The International Conference on Knowledge Capture, K-CAP, is a forum that brings together members of disparate research communities who are interested in efficiently and precisely capturing knowledge from a variety of heterogeneous sources, and in creating representations that can be useful for automated reasoning, analysis, and other forms of machine processing, as well as to support users in knowledge-intensive collaborative tasks. To discuss and advance the goals of scalable and precise knowledge capture, K-CAP 2021 aims to attract researchers from diverse areas of artificial intelligence, including knowledge representation and reasoning, knowledge acquisition, semantic web, intelligent user interfaces for knowledge acquisition and retrieval, query processing and question answering over heterogeneous knowledge bases, novel evaluation paradigms, problem-solving and reasoning, agents, information extraction from structured or unstructured data, machine learning and representation learning, information enrichment and visualization, as well as researchers interested in cyber-infrastructures to foster the publication, retrieval, reuse, and integration of data. *Topics of interest* - Knowledge acquisition - Knowledge authoring - Knowledge extraction - Knowledge management - Knowledge publication - Knowledge capture from multimodal data, e.g., text, audio, visual - Knowledge capture for the Semantic Web and the Web of Linked Data - Knowledge capture and enrichment in specific domains such as earth and life sciences - Knowledge capture and Interoperability with existing Knowledge Graphs (e.g., Wikidata, DBpedia) - Entity linking and resolution using target Knowledge (e.g. Wikidata, DBpedia) - Collaborative and social approaches to knowledge management and acquisition - Crowdsourcing for knowledge capture and refinement - Handling bias in knowledge capture - Knowledge capture from social environments and contexts - Problem-solving knowledge and methods - Knowledge-based markup techniques - Modeling methodologies for ontologies and knowledge graphs - Narrative intelligence - Knowledge capture through storytelling - Provenance and trust issues in knowledge intensive systems - Services and applications that enable or utilize data capture techniques - Semantic search and query enrichment - Knowledge engineering and knowledge governance - Ontology design patterns - Similarity measurement and analogy-based reasoning - Extracting knowledge graphs from unstructured/semi-structured and multimedia data - Summarization techniques for knowledge graphs - Visualization of knowledge graphs and visual query interfaces - Services and API for knowledge graphs - Addressing scalability issues for distributed knowledge graphs - Automated construction, enrichment and cleaning of knowledge graphs and alignment to existing graphs - Hybrid approaches for knowledge capture combining knowledge engineering and machine learning - Data dynamicity, heterogeneity, and decay in knowledge intensive systems *Submissions* The eleventh International Conference on Knowledge Capture, K-CAP 2021, features a full papers track for research papers, as well as tracks for short papers, for visionary ideas, and for demos. - Full papers, which describe original research, can be up to 8 pages long including references. Full papers will appear in the conference proceedings and will be citable as K-CAP 2021 publications; - Short papers, which may describe (possibly preliminary or open-ended) research, applications (academic, industrial or otherwise), and late breaking results, can be up to 4 pages long, including references. Short papers will also appear in the conference proceedings and will be citable as K-CAP 2021 publications; - Visionary papers, which describe outrageous ideas or potentially preliminary, but highly innovative research, can be up to 2 pages long, including references. Visionary papers will be presented as short talks in the conference program; - Demo papers, which exemplify applications or illustrate work presented in other submissions, can be up to 4 pages long, including references. Demos will be presented as short talks in the conference program. Authors of all paper types will present their work in plenary sessions during the conference. Presentation timing for the different types of papers will be announced once the program is crafted. K-CAP is not a double-blind conference, hence authors should list their names and affiliations on the submission. Please use the ACM 2 column SIG Conference Proceedings template for your submission. Submissions in HTML format are welcome, so long as authors of HTML submissions also provide a conversion of their submission to a PDF file that adheres to the required ACM template for proceedings. Papers submitted to the main conference track should not have been published before in an archival venue, or currently be under review in an archival venue. Authors are welcome to submit papers that have been published as a preprint on arXiv, or in a non-archival venue like a workshop. All submissions to K-CAP should be made through EasyChair: https://easychair.org/conferences/?conf=kcap21 This year we will embrace the FAIR principles by collecting structured metadata of the datasets, software, ontologies and methods generated by K-CAP submissions. Authors will be encouraged to add these resources in the EasyChair submission form (together with a brief description). Accepted papers with resources will be highlighted in the main K-CAP conference page. *Important Dates* - Paper submission: September 15, 2021 - Author notification: October 13, 2021 - Camera ready version due: October 25, 2021 - Conference dates: December 2-3, 2021 All deadlines are midnight AoE (Anywhere on Earth). -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Sun Sep 5 08:40:02 2021 From: timofte.radu at gmail.com (Radu Timofte) Date: Sun, 5 Sep 2021 14:40:02 +0200 Subject: Connectionists: Open Postdoc and PhD Positions in Computer Vision and Machine Learning Message-ID: Open Postdoc and PhD Positions in Computer Vision, Image Processing, and Machine Learning (Apologies for cross-postings.) The Computer Vision Laboratory led by Prof. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science , University of Wurzburg, is looking for outstanding candidates to fill several computer vision and machine learning fully-funded postdoc and PhD positions . Julius-Maximilians University of W?rzburg (JMU), founded in 1402, is one of the leading institutions of higher education in Germany and well-known on the international stage for delivering research excellence with a global impact. The University of W?rzburg is proud to be the home of outstanding researchers and fourteen Nobel Prize Laureates. W?rzburg is a vibrant city in Bavaria, Germany?s economically strongest state and home base to many international companies. We look forward to welcoming you to the University of W?rzburg! Computer Vision Laboratory and University of W?rzburg in general are an exciting environment for research, for independent thinking. Prof. Radu Timofte?s team is highly international, with people from about 12 countries, and the members have already won awards at top conferences (ICCV, CVPR, ICRA, NIPS, ...), founded successful spinoffs, and/or collaborated with industry. Prof. Radu Timofte is a 2022 winner of the prestigious Humboldt Professorship for Artificial Intelligence Award. Prof. Radu Timofte also leads the Augmented Perception Group at ETH Zurich. Depending on the position, the successful candidate will focus on a subset of the following Research Topics: ? deep learning ? computational photography ? domain translation ? learned image/video compression ? image/video super-resolution ? learning paradigms ? image/video understanding ? augmented and mixed reality ? edge inference and mobile AI The tasks will involve designing, developing, and testing novel ideas in cutting-edge research, as well as coordinating and conducting data collection for their evaluation. The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs. The successful candidate will also collaborate with industry. Profile ? Master's degree in computer science, electrical engineering, physics or applied mathematics/ statistics ? Good programming knowledge and experience with Python / C++ / MATLAB ? Interest, prior knowledge and experience in one or more of the following is a plus: computer vision, deep learning, machine learning, image processing ? Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving ? Fluent written and spoken English is a must. ? Postdoc applicants are expected to have a strong track of published research, including top, high impact, journal (such as PAMI, IJCV, TIP, NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS, ICLR) papers. Timeline The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, up to 60k euros per year, before tax. Typically a PhD takes ~4 years and a postdoc position is for a minimum of 1 year. Applications will be reviewed on a rolling basis until all the positions are filled. A first round of interviews is scheduled for 20.09.2021. Application Interested applicants should email asap their PDF documents (including CV, diplomas, transcripts of records) to Prof. Radu Timofte, radu.timofte at uni-wuerzburg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From wittawatj at gmail.com Sat Sep 4 18:34:22 2021 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Sun, 5 Sep 2021 00:34:22 +0200 Subject: Connectionists: Call for participation in Online Asian Machine Learning School prior to ACML 2021 Message-ID: Dear all, We invite applications to attend the Online Asian Machine Learning School (OAMLS), which is a part of the Asian Conference on Machine Learning 2021 and will be held from November 8 to November 19, 2021. By participating in OAMLS, you will have the opportunity to: - Learn from and engage with top experts in the field. OAMLS offers an invaluable chance to study fundamentals of machine learning as well as state-of-the-art advances from our invited speakers . - OAMLS provides a great networking opportunity to meet like-minded individuals who share your passion for machine learning, data science, and artificial intelligence. - Attend ACML 2021, which is held immediately after the summer school. Speakers: - Angela Yao , National University of Singapore - Cheng Soon Ong , Data61, CSIRO - Cheng-Te Li , National Cheng Kung University - Dinh Phung , Monash University - Emtiyaz Khan , RIKEN Center for Advanced Intelligence Project - Hung-yi Lee , National Taiwan University - Jonas Peters , University of Copenhagen - Peter L. Bartlett , UC Berkeley - Reza Haffari , Monash University - Sara Hooker , Google Brain - Sinno Pan , Nanyang Technological University - Taiji Suzuki , RIKEN Center for Advanced Intelligence Project / The University of Tokyo - Vered Shwartz , University of British Columbi - Zhongwen Xu , Sea AI Lab Tentative programs: - Lectures by our invited speakers - Networking (virtually) with fellow OAMLS participants including speed dating sessions, volunteer-driven review sessions after each lecture, etc. - Live roundtable discussion with our invited speakers where participants can freely ask technical and non-technical questions (e.g., career paths, open problems in a specific area of machine learning) - Mentoring sessions We aim to have 200 strongly motivated and engaged participants in this event. We encourage applications from the Asia-Pacific region, although we open applications to anyone in the world provided that they will be able to attend the event which will be held in Asian time zones. No deep experience of machine learning is needed to apply, but participants are assumed to have some basic knowledge of programming, statistics, and machine learning. We will provide recommended background materials for those who are selected to ensure that everyone has the required knowledge to benefit from the event. Please apply here . Submitting an application is free of charge. We ask for a small registration fee for accepted participants. The application deadline is on September 15, 2021 and the acceptance notification is on October 8, 2021. Contact: oamls-21 at googlegroups.com. Thank you, The OAMLS team -------------- next part -------------- An HTML attachment was scrubbed... URL: From franciscocruzhh at gmail.com Mon Sep 6 04:08:21 2021 From: franciscocruzhh at gmail.com (Francisco Cruz) Date: Mon, 6 Sep 2021 18:08:21 +1000 Subject: Connectionists: Special Issue on Human-aligned Reinforcement Learning for Autonomous Agents and Robots @NCAA journal Message-ID: ** Call for papers ** Topical Collection on Human-aligned Reinforcement Learning for Autonomous Agents and Robots at the Springer journal Neural Computing and Applications. See relevant details at: https://www.springer.com/journal/521/updates/19055662 ** Topics ** The main topics of interest in the call for submissions are explainability, interactivity, safety, and ethics in social robotics and autonomous agents, especially from a reinforcement learning perspective. In this regard, approaches with special interest for this topical collection are (but not limited to): - Explainability, interpretability, and transparency methods for feature-oriented and goal-driven RL. - Explainable robotic systems with RL approaches. - Assisted and interactive RL in human-robot and human-agent scenarios. - Human-in-the-loop RL and applications. - RL from demonstrations and imperfect demonstrations. - Robot and agent learning from multiple human sources. - Multi-robot systems with human collaboration. - Safe exploration during learning. - Ethical reasoning and moral uncertainty. - Fairness in RL and multi-agent systems. - Theory of mind based RL frameworks. - Use of human priors in RL. ** Provisional deadlines ** - Deadline for submissions: December 15, 2021 - Deadline for review: February 15, 2022 - Decisions: March 15, 2022 - Revised manuscript submission: May 15, 2022 - Deadline for second review: June 15, 2022 - Final decisions: June 30, 2022 ** Guest editors ** Dr. Francisco Cruz (Lead guest editor) School of Information Technology Deakin University, Australia Dr. Thommen George Karimpanal Applied Arti?cial Intelligence Institute (A2I2) Deakin University, Australia Dr. Miguel Solis, Facultad de Ingenieria Universidad Andres Bello, Chile Dr. Pablo Barros Cognitive Architecture for Collaborative Technologies Unit Italian Institute of Technology (IIT), Italy A/Prof. Richard Dazeley School of Information Technology Deakin University, Australia ** More details at: ** https://www.springer.com/journal/521/updates/19055662 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cls at is.mpg.de Mon Sep 6 05:59:53 2021 From: cls at is.mpg.de (ETH-Center Learning-Systems) Date: Mon, 6 Sep 2021 11:59:53 +0200 Subject: Connectionists: Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems Message-ID: <6b0e1d764dcfb9b5ac395c656ac9b215.squirrel@mail.is.mpg.de> We invite applications to the doctoral training program of the Max Planck ETH Center for Learning Systems (CLS), a joint academic program between ETH Zurich, Switzerland and the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems (Stuttgart / Tuebingen, Germany). We are currently accepting applications to join our program in 2022. The goal of CLS is to advance artificial intelligence by achieving a fundamental understanding of perception, learning and adaption in complex systems within our platform for exchange in research and education. Applicants should have a strong interest in doing basic research in areas such as: - Machine Learning and Empirical Inference of Complex Systems - Machine Intelligence, including Machine Vision and Natural Language Understanding - Perception-Action-Cycle for Autonomous Systems - Robust Model-Based Control for Intelligent Behavior - Robust Perception in Complex Environments - Synthetic, Bio-Inspired, and Bio-Hybrid Micro/Nanoscale Robotic Systems - Haptic Intelligence - Data-Driven Computational Biology and Medical Informatics - Neurotechnology and Emergent Intelligence in Nervous Systems In our highly competitive fellowship program, Ph.D. students are co-supervised by one advisor from ETH Zurich and one from the Max Planck Society. All Ph.D. fellows will register as graduate students at ETH Zurich and, upon successful completion of their Ph.D. project, will be granted a doctoral degree by ETH. The program offers a wide range of activities including retreats, workshops and summer schools. Fellowships are remunerated through employment contracts with the Max Planck Society and ETH Zurich. The program language is English. Applicants must hold or expect to hold an excellent degree at Masters level in a relevant subject and be enthusiastic about spending time during their Ph.D. at both CLS partners. Good written and spoken English is essential. Apply online at https://learning-systems.org/apply. Application deadline is midnight (23:59 CET) on November 1, 2021. From leslie.perez at pucv.cl Tue Sep 7 01:17:56 2021 From: leslie.perez at pucv.cl (Leslie Angelica Perez Caceres) Date: Tue, 7 Sep 2021 02:17:56 -0300 Subject: Connectionists: Third Call for Papers: EvoCOP 2022 - The 22nd European Conference on Evolutionary Computation in Combinatorial Optimisation Message-ID: (Apologies for cross-posting) ************************************************************************************* Third Call for Papers: EvoCOP 2022 - The 22nd European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2022/evocop/ April 20 - 22, 2022 held as part of EvoStar (http://www.evostar.org) Venue: *Somewhere On Earth!* ** EvoCOP is now CORE Rank B ** Submission deadline: November 1, 2021 ************************************************************************************* The 22nd European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on applications and theory of evolutionary computation methods and other metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains. Successfully solved problems include, but are not limited to, multi-objective, uncertain, dynamic and stochastic problems in the context of scheduling, timetabling, network design, transportation and distribution, vehicle routing, stringology, graphs, satisfiability, energy optimisation, cutting, packing, planning and search-based software engineering. The EvoCOP 2021 conference will be held somewhere on Earth, together with EuroGP (the 24th European Conference on Genetic Programming), EvoMUSART (the 10th European conference on evolutionary and biologically inspired music, sound, art and design) and EvoApplications (the 24th European Conference on the Applications of Evolutionary Computation), and a new special track on Evolutionary Machine Learning in a joint event collectively known as EvoStar (Evo*). Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. (See https://link.springer.com/conference/evocop for previous proceedings.) The best regular paper presented at EvoCOP 2022 will be distinguished with a Best Paper Award. EvoCOP conference is now ranked B in the CORE 2021 ranking: http://portal.core.edu.au/conf-ranks/2195/ **** Areas of Interest and Contributions **** EvoCOP welcomes submissions in all experimental and theoretical aspects of evolutionary computation and other metaheuristics to combinatorial optimisation problems, including (but not limited to) the following areas: * Applications of metaheuristics to combinatorial optimisation problems * Theoretical developments * Neighbourhoods and efficient algorithms for searching them * Variation operators for stochastic search methods * Constraint-handling techniques * Parallelisation and grid computing * Search space and landscape analyses * Comparisons between different (also exact) methods * Automatic algorithm configuration and design Prominent examples of metaheuristics include (but are not limited to): * Evolutionary algorithms * Estimation of distribution algorithms * Swarm intelligence methods such as ant colony and particle swarm optimisation * Artificial immune systems * Local search methods such as simulated annealing, tabu search, variable neighbourhood search, iterated local search, scatter search and path relinking * Hybrid methods such as memetic algorithms * Matheuristics (hybrids of exact and heuristic methods) * Hyper-heuristics and autonomous search * Surrogate-model-based methods Notice that, by tradition, continuous/numerical optimisation is *not* part of the topics of interest of EvoCOP. Interested authors might consider submitting to other EvoStar conferences such as EvoApplications. **** Submission Details **** Paper submissions must be original and not published elsewhere. The submissions will be peer reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Page limit: 16 pages Submission link: coming soon The authors of accepted papers will have to improve their paper on the basis of the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference, attend the conference and present the work. **** Important Dates **** Submission deadline: November 1, 2021 EvoStar: April 20-22, 2022 **** EvoCOP Programme Chairs **** Leslie P?rez C?ceres Pontificia Universidad Cat?lica de Valpara?so, Chile leslie.perez at pucv.cl S?bastien Verel Universit? du Littoral C?te d'Opale (ULCO), France verel at univ-littoral.fr -- Leslie P?rez C?ceres Escuela de Ingenier?a Inform?tica Pontificia Universidad Cat?lica de Valpara?so Directora Diplomado en Inteligencia Artificial http://diplomadoia.inf.ucv.cl Co-chair , EvoCOP 2022, April 20-22 http://www.evostar.org/2022/evocop/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ghada.sokar at gmail.com Tue Sep 7 07:21:06 2021 From: ghada.sokar at gmail.com (Ghada Sokar) Date: Tue, 7 Sep 2021 13:21:06 +0200 Subject: Connectionists: [Extended Deadline 15 Sept] Call for papers: IEEE ICDM2021 Workshop on Continual Learning and Adaptation for Time Evolving Data Message-ID: Dear Colleagues, This is the Call for Papers for the 2nd Continual Learning and Adaptation for Time Evolving Data Workshop at IEEE ICDM 2021. Workshop website: https://cleated2021.github.io/ *Extended Deadline for submissions: September 15, 2021.* **** Scope and aim **** In continual learning, models can continually accumulate knowledge over time without the need to retrain from scratch, with particular methods aimed to alleviate forgetting. It can continually learn from a stream of experiential data, building on what was learned previously, while being able to reapply, adapt and generalize to new situations. This is particularly important when there are changes in the data streams. Current predictive models need to be adapted to these changes (drifts) as soon as possible while maintaining good performance measures (e.g. accuracy, time, delay, energy efficiency). The aim of this workshop is to bring together researchers from the areas of continual learning, model adaptation and concept drift in order to encourage discussions and new collaborations on solving the problems in this domain. We like to encourage state-of-the-art research in the area of continual learning, model adaptation, and concept drift. Beyond that, we encourage research that demonstrates the applicability of this research in various areas including (but not limited to) earth and environmental science, sensor networks, and transportation network. We encourage the submissions of research that incorporates the fundamentals of green AI. Therefore, this workshop encourages submissions that attempt to address any of these issues. **** Submission Information **** Papers should be submitted here . All accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press. **** Keynote Speakers*** Razvan Pascanu, DeepMind Eric Eaton, University of Pennsylvania Vincenzo Lomonaco, University of Pisa -- Regards, CLEATED Workshop organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Sep 7 07:02:20 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 7 Sep 2021 13:02:20 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2021| Hybrid | Submission deadline: Sep 12, 2021 Message-ID: *10th** International Conference on Complex Networks & Their Applications* *Hybrid- Madrid, Spain *November 30 - December 02, 2021 COMPLEX NETWORKS 2021 You are cordially invited to submit your contribution until September 01, 2021. *SPEAKERS * ? Marc Barth?l?my CEA France ? Ginestra Bianconi Queen Mary University of London UK ? Jo?o Gama University of Porto Portugal ? Dirk Helbing ETH Z?rich Switzerland ? Yizhou Sun UCLA USA ? Alessandro Vespignani Northeastern University USA *TUTORIALS (November 29, 2021)* ? Elisabeth Lex Graz University of Technology Austria ? Giovanni Petri ISI Foundation Italy *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 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)* Templates are available on the submission webpage. If in doubt, please contact the Publication Chair (matteo.zignani at unimi.it) All contributions should be submitted via EasyChair . Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press 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* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* 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 ioannakoroni at csd.auth.gr Wed Sep 8 05:59:54 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 8 Sep 2021 12:59:54 +0300 Subject: Connectionists: Invitation to join Short Course 'Deep Learning and Computer Vision', 6-7th October 2021 References: <141f01d7a489$b571ae00$20550a00$@csd.auth.gr> <003401d7a492$4703f0a0$d50bd1e0$@csd.auth.gr> Message-ID: <152601d7a498$46781ca0$d36855e0$@csd.auth.gr> Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML Short e-course on 'Deep Learning and Computer Vision', 6-7th October 2021: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This 6th edition of this course is part of the very successful CVML short course series that took place in the last four years. Course description 'Deep Learning and Computer Vision' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures (8 hours) provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to Neural SLAM, target detection and tracking. Part B also contains application-oriented lectures on autonomous drones, cars and marine vessels, e.g., drone mission planning for cinematography and related applications (marine surveillance, infrastructure/building inspection, car vision). Course lectures Part A: (first day, 8 lectures) 1. Introduction to autonomous systems imaging 2. Digital Image and Videos 3. Camera geometry 4. Stereo and Multiview imaging 5. Introduction to Artificial Neural Networks. Perceptron 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B: (second day, 8 lectures) 1. Simultaneous Localization and Mapping 2. Neural Slam 3. Deep Object Detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software Development Tools You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml Virus-free. www.avast.com -- 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: ~WRD0001.jpg Type: image/jpeg Size: 823 bytes Desc: not available URL: From massimo.srt at gmail.com Wed Sep 8 04:35:02 2021 From: massimo.srt at gmail.com (Massimo Sartori) Date: Wed, 8 Sep 2021 10:35:02 +0200 Subject: Connectionists: [jobs] Postdoc opening: patio-temporal control of bio-protective robots for movement enhancement Message-ID: Do you want to develop radically new spatiotemporal modelling and control paradigms for bioprotective robots? Do you want to develop novel technologies for enhancing and restoring human movement? The Neuro-Mechanical Modeling and Engineering Lab (Department of Biomechanical Engineering, University of Twente) is seeking for one outstanding postdoctoral fellow to work as part of the INTERACT Project. funded by the European Research Council: https://cordis.europa.eu/project/id/803035 *If interested please apply via this link by September 18th: **https://www.utwente.nl/en/organisation/careers/!/128/ * We offer high-reaching positions with a generous allowance as well as extraordinary research facilities and working environment. Your work will be facilitated by in-house expertise and mentorship. You will collaborate with top-scientists on aspects including exoskeleton control, skeletal muscle modelling, statistical modelling, giving large opportunities for growth and to perform impactful research! --- Massimo Sartori, Ph.D. Professor and Chair, Neuromechanical Engineering Director, Neuromechanical Modeling & Engineering Lab University of Twente & TechMed Centre Faculty of Engineering Technology Department of Biomechanical Engineering 7500 AE, The Netherlands Personal Website: https://people.utwente.nl/m.sartori Lab Website: https://bit.ly/NMLab Lab YouTube Channel: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Wed Sep 8 09:03:53 2021 From: Francesco.Rea at iit.it (Francesco Rea) Date: Wed, 8 Sep 2021 13:03:53 +0000 Subject: Connectionists: [jobs] deadline postponed: Post-doc Functional Memory Network in collaborative AI for cognitive assessment of human partners @ Italian Institute of Technology (IIT) Message-ID: Post-doc Functional Memory Network in collaborative AI for cognitive assessment of human partners 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: * Sensing of human cognitive capabilities based on human-robot collaboration in unstructured real-world contexts * Design of control systems for mobile robots that enable natural human-robot collaboration * Development of an AI solution for the assessing of cognitive capabilities of human partners in human-robot social collaboration for unstructured real-world scenario 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 PROMEN-AID, Proactive Memory iN AI for Development project (GA 945539). Please submit your application using the online form (https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2100004X) and including a detailed CV, cover letter (outlining motivation, experience and qualifications), names and contact of 2 referees. Application's deadline postponed to September 15, 2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Wed Sep 8 09:03:37 2021 From: Francesco.Rea at iit.it (Francesco Rea) Date: Wed, 8 Sep 2021 13:03:37 +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: 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=2100004W) and including a detailed CV, cover letter (outlining motivation, experience and qualifications), names and contact of 2 referees. Application's deadline postponed to September 15, 2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Thu Sep 9 05:33:33 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 9 Sep 2021 11:33:33 +0200 Subject: Connectionists: LAST CFP COMPLEX NETWORKS 2021 FIRM SUBMISSION DEADLINE SEPT. 12, 2021 Message-ID: *10th** International Conference on Complex Networks & Their Applications* *Hybrid- Madrid, Spain *November 30 - December 02, 2021 COMPLEX NETWORKS 2021 You are cordially invited to submit your contribution until *September 12, 2021 (Firm deadline)* *SPEAKERS * ? Marc Barth?l?my CEA France ? Ginestra Bianconi Queen Mary University of London UK ? Jo?o Gama University of Porto Portugal ? Dirk Helbing ETH Z?rich Switzerland ? Yizhou Sun UCLA USA ? Alessandro Vespignani Northeastern University USA *TUTORIALS (November 29, 2021)* ? Elisabeth Lex Graz University of Technology Austria ? Giovanni Petri ISI Foundation Italy *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 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)* Templates are available on the submission webpage. If in doubt, please contact the Publication Chair (matteo.zignani at unimi.it) All contributions should be submitted via EasyChair . Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press 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* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* 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 bhammer at techfak.uni-bielefeld.de Thu Sep 9 04:56:17 2021 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Thu, 9 Sep 2021 10:56:17 +0200 Subject: Connectionists: Joint Artificial Intelligence Institute JAII Message-ID: We would like to draw your attention to the opening ceremony of the newly founded Joint Artificial Intelligence Institute (JAII) https://jaii.eu/ of Universities Bielefeld and Paderborn on September 15th from 10-12 CEST. The kick-off event will feature an invited talk by Prof. Frank van Harmelen (Vrije Universiteit Amsterdam) with the title "How to build AI systems that both learn and reason?" You can register for the event here: https://uni-bielefeld.zoom.us/meeting/register/tJElc-GurT8sHdQ24Pw3Ko6vXdt-sjY6okJm We look forward to seeing you at the kick-off event. Best regards, Philipp Cimiano, Axel Ngonga and Barbara Hammer (Directors of the Joint Artificial Intelligence Center) -- Prof. Dr. Barbara Hammer Machine Learning Group, CITEC Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 From emtiyaz at gmail.com Thu Sep 9 06:48:59 2021 From: emtiyaz at gmail.com (Emtiyaz Khan) Date: Thu, 9 Sep 2021 19:48:59 +0900 Subject: Connectionists: A tenured research scientist position at RIKEN, Tokyo for female researchers In-Reply-To: References: Message-ID: Dear all, Hope you and your loved ones are well and safe. I wanted to bring to your attention an open position we have in our Approximate Bayesian Inference group (https://team-approx-bayes.github.io/) at RIKEN-AIP Tokyo ( https://aip.riken.jp/). The position is specifically for a female researcher with expertise in Machine Learning and interest in application domains relevant to society. This is an "indefinite-term" position, which is equivalent to a tenured position, but at the research scientist level. Our hope is that this position will provide a starting point for the researcher to develop their own research program, who will eventually lead a team of their own in the future (as a professor or team/group leader). You can find the details of the position at this page: https://www.riken.jp/en/careers/researchers/20210901_8/index.html If you have any questions, feel free to send me an email at jobs-abi-riken-aip [at] googlegroups.com -- Emtiyaz Khan, AIP, RIKEN, Tokyo. http://emtiyaz.github.io -------------- next part -------------- An HTML attachment was scrubbed... URL: From calendarsites at insticc.org Thu Sep 9 07:47:32 2021 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Thu, 9 Sep 2021 12:47:32 +0100 Subject: Connectionists: [CFP]11th Int. Conf. on Sensor Networks :: Submission Deadline - 14th of September Message-ID: <00dd01d7a570$7a730f00$6f592d00$@insticc.org> CALL FOR PAPERS 11th International Conference on Sensor Networks **Submission Deadline: September 14, 2021** http://www.sensornets.org February 07 - 08, 2022 Online Streaming Dear Colleagues, Given the uncertainties of the current international situation, including constraints on traveling, logging and large gatherings we have decided to convert the conference completely into a web-based event. As a consequence of this change, we have strongly reduced the registration fees so we would like to invite you to contribute and submit your original research paper to SENSORNETS 2022. This conference intends to be the meeting point of researchers and practitioners to share experiences and ideas on innovative developments in any aspect of sensor networks, including Hardware of Sensor Networks, Wireless Communication Protocols, Sensor Networks Software and Architectures, Wireless Information Networks, Data Manipulation, Signal Processing, Localization and Object Tracking through Sensor Networks, Machine Learning in sensor networks leading to resource optimizations and many Applications. Conference Chair(s) Nirwan Ansari, New Jersey Institute of Technology, United States C?sar Benavente-Peces, Universidad Polit?cnica de Madrid, Spain Program Chair(s) RangaRao Venkatesha Prasad, Delft University of Technology, Netherlands Dirk Pesch, University College Cork, Ireland With the presence of internationally distinguished keynote speakers: Luca Mottola, Politecnico di Milano, Italy Biplab Sikdar, University of Singapore, Singapore Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Kind regards, Monica Saramago SENSORNETS Secretariat Web: http://www.sensornets.org e-mail: sensornets.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From alice.tomassini at gmail.com Thu Sep 9 07:55:08 2021 From: alice.tomassini at gmail.com (Alice Tomassini) Date: Thu, 9 Sep 2021 13:55:08 +0200 Subject: Connectionists: =?utf-8?q?Pre-doctoral_Fellowship_=E2=80=93_Neuro?= =?utf-8?q?physiology_Interpersonal_Movement_Coordination_=40_Italian_Inst?= =?utf-8?q?itute_of_Technology_=28IIT=29?= Message-ID: The Italian Institute of Technology (IIT) is offering a Pre-doctoral Fellowship to work on the Neurophysiology of Interpersonal Movement Coordination. 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. The Multiscale Brain Communication Research line is coordinated by Luciano Fadiga, who has extensive experience in the neurophysiology of movement, with particular interest in the mechanisms underlying action understanding for interpersonal coordination. The research focuses on the neural mechanisms responsible for our capacity to communicate with others. This includes the development of new brain interfaces, specifically conceived for human use, to transduce and computationally decode neural signals. Within the team, your main responsibilities will be: ? Support in the collection of behavioral/kinematic (Mocap) and neurophysiological (EEG) data in tasks involving dyadic coordination ? Support in data analysis This open position/research is financed by the BIAL Foundation within the ?The hidden rhythm of interpersonal (sub-)movement coordination? project awarded to Dr. Alice Tomassini. Please submit your application using the online form (https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2100005X ) and including a detailed CV, university transcripts, cover letter (outlining motivation, experience and qualifications). Application deadline: October 11th , 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Thu Sep 9 11:47:22 2021 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Thu, 9 Sep 2021 17:47:22 +0200 Subject: Connectionists: Professorship positions (univ. of applied sciences) to be filled in artificial intelligenceProfessorship positions (univ. of applied sciences) to be filled in artificial intelligence Message-ID: We are creating a new center on artificial intelligence in Wuerzburg, Germany (CAIRO) with multiple open positions (right now we announced 2 professor positions) https://www.fhws.de/service/stellenausschreibungen-der-fhws/online-stellenportal-fuer-professuren-und-lehrpersonal/ (english translation available - just scroll down) The positions are research professorships (German W2 level, maybe comparable to reader status or kind of assistant professor, well paid and tenured life long positions) and will establish a center for AI (CAIRO) in Wuerzburg - do research & attract projects - have some minimal administrative duties - have only 9 x 45 min teaching duties per week (9 SWS) during the terms - will be involved in the new created MSc program on Artificial Intelligence (MAI) Additional funding to establish a group is also available. This is an exciting moment and chance. The positions are located here in Wuerzburg and the curriculum will be (so far) in English only (it may be necessary to learn some German in the first years) . To be eligible it is mandatory to have 5 years working experience after MSc including at least 3 years of industrial experience (can be spread and industry related research (institutes) also count). The positions announced right now have the following topics: - Reasoning and Acting in AI / Foundations of Cognitive Computing https://stellen.fhws.de/jobposting/119f8cb4aaa8244fbdf4de9a80a2eaa82935e9500?ref=homepage - Robotics and AI (also linked to the Center Robotics and Intelligence (CERI) https://stellen.fhws.de/jobposting/538a1af7009c78c9e4734ed738c0c917c4fc291a0?ref=homepage Please spread the word - would be happy to see many applications Frank -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at fhws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From coralie.gregoire at universite-lyon.fr Thu Sep 9 10:07:27 2021 From: coralie.gregoire at universite-lyon.fr (Coralie Gregoire) Date: Thu, 9 Sep 2021 14:07:27 +0000 Subject: Connectionists: CfP - The Web Conference 2022 Research Tracks Message-ID: [Apologies for the cross-posting, this call is sent to numerous lists you may have subscribed to] Contact us: contact at thewebconf.org We invite contributions to the research track of The Web Conference 2022 (formerly known as WWW). The conference will take place online and in Lyon, France, on April 25-29, 2022. *Important dates* * Abstract submission: October 14, 2021. This is compulsory for all papers. * Full paper submission: October 21, 2021 * Rebuttal period: December 2-6, 2021 * Notifications to authors: January 13, 2022 All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone. *Instructions for authors of research track submissions* The Web Conference is the premier conference focused on understanding the current state and the evolution of the Web through the lens of different disciplines, including computing, computational social science, economics and political sciences. We encourage submissions that: * present in-depth accounts and novel analyses that improve our understanding of the Web and its impact; * introduce and evaluate technical and socio-technical systems and approaches enabled by core Web technologies, standards, and platforms; * make strides in democratising access to web content and technologies, making it more accessible and inclusive to different audiences. Our research interests are organised in thematic tracks. In 2022 these will be (in alphabetical order): * Economics, monetisation and online markets: https://www2022.thewebconf.org/cfp/research/economics * Search: https://www2022.thewebconf.org/cfp/research/search * Security, privacy and trust: https://www2022.thewebconf.org/cfp/research/security * Semantics and knowledge: https://www2022.thewebconf.org/cfp/research/semantics * Social network analysis and graph algorithms: https://www2022.thewebconf.org/cfp/research/sna * Social web: https://www2022.thewebconf.org/cfp/research/social-web * Systems and infrastructure: https://www2022.thewebconf.org/cfp/research/systems * User modelling, personalisation and accessibility: https://www2022.thewebconf.org/cfp/research/umap * Web and society: https://www2022.thewebconf.org/cfp/research/umap * Web mining and content analysis: https://www2022.thewebconf.org/cfp/research/wmca * Web of things, ubiquitous and mobile computing: https://www2022.thewebconf.org/cfp/research/wmca It is important to recall that this is a conference about the Web and how it has crucially enabled new research and applications. While the Web is part of a broader interdisciplinary ecosystem, including technologies such as machine learning, natural language processing, computer vision, and many others, it remains a distinct scholarly field, with its own research methods, tools, and challenges. As such, submissions that merely use one or another Web artifact -- e.g., a dataset or a Web API or a social network -- rather than answering a specific Web-related research challenge, are out of scope of the conference and will not be considered. In addition to the research tracks listed earlier, the conference also features a curated set of special tracks, which reflect emerging topics and trends in the community. In 2022 these will be: e-sport and massive online gaming; history of the Web; as well as Web for good, inclusiveness, and fairness. You may want to consider them when deciding if and where to submit your work. *Submission guidelines* For the research tracks, the recommended paper length is 8 pages plus references; the total number of pages with references must not exceed 12 pages. The papers must be formatted according to the instructions below. Papers exceeding 12 pages or not following the formatting guidelines will be desk-rejected. Submissions will be handled via Easychair, at https://easychair.org/conferences/?conf=thewebconf2022 . Please take some time to consider the most appropriate track for your work; where a paper is not submitted to a relevant track, the programme committee cannot guarantee that your paper will be matched to a more suitable one. *Formatting the submissions* Submissions must adhere to the ACM template and format published in the ACM guidelines at https://www.acm.org/publications/taps/word-template-workflow, selecting the generic ?manuscript? sample. Authors are responsible for ensuring that submissions adhere strictly to the required format. Submissions for review must be in PDF format. They must be self-contained and written in English. Submissions that do not follow these guidelines, or do not view or print properly, will be rejected without review. *Author identity* The review process will be double-blind. The submitted document should not include any author names, affiliations, or other identifying information. This may include, but is not restricted to: acknowledgements, self-citations, references to prior work by the author(s) etc. Submissions not complying to this guidance will be desk-rejected. You may explicitly refer in the paper to organisations that provided datasets, hosted experiments, or deployed solutions and tools. In other words, instead of saying that ?we analysed the logs of a major search engine?, the authors may name the search engine in question. The reviewers will be informed that naming organisations in papers does not necessarily imply that the authors are currently affiliated with said organisation. You can enable the double-blind mode in the new ACM format by adding the ?anonymous? option (e.g., \documentclass[manuscript, anonymous, review]{acmart}). *Originality and concurrent submissions* Submissions must present original work -- this means that papers published or accepted to any peer-reviewed venue with published proceedings cannot be submitted here; also, authors must appropriately cite their prior work (considering the double-blind review policy). Finally, submissions available only online and/or that have been previously presented orally, as posters, or in venues with no formal proceedings are allowed. Concurrent submissions are not allowed - this means that papers that are currently under review cannot be submitted to this conference; conversely, while the paper is under review here, it should not be submitted elsewhere. The programme committee is working closely with other related venues with similar review timelines to ensure this policy will be enforced. The ACM has a strict policy against plagiarism, misrepresentation, and falsification that applies to all publications. *Ethical use of data and informed consent* As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. When appropriate, authors are encouraged to include a section on the ethical use of data and/or informed consent in their paper. Note that submitting your research for approval by the author(s)? institutional ethics review body (IRB) may not always be sufficient. Even if such research has been signed off by your IRB, the programme committee might raise additional concerns about the ethical implications of the work and include these concerns in its review. *Review process* Each paper is submitted to one of the tracks listed earlier. Programme committee (PC) members will self-declare their expertise for each paper (passing knowledge, knowledgeable, expert). Each submission will receive at least three independent reviews in the track. The goal of the review step is to provide constructive evaluation of a submitted paper. Each submission and its review will be overseen by a senior programme committee member (SPC), who will also provide a meta-review. The submission will be discussed between reviewers, SPC and track chairs, pre- and post-rebuttal (see below). Papers will be ranked based on a range of factors including: technical mert, originality, potential impact, quality of execution, quality of presentation, related work, reproducibility of results, and ethics. Based on this ranking, track chairs will recommend papers for presentation at the conference, inclusion in the processings, and awards. *Contributing to reviews* Conferences like The Web Conference happen because hundreds and thousands of members of the scientific community volunteer to help in many capacities. This includes ensuring that the conference maintains its high standards through constructive, useful, fair reviews. Submission numbers are expected to rise, against a background of unprecedented challenges in our professional and private lives. For these reasons, we expect all authors to be ready to give back to the community by reviewing for their track. All authors will be automatically added to the review candidate pool as they submit their paper. Reviews will be monitored by the programme committee for quality; guidance on this will be made available in due time. It is important to familiarise yourself with it. Do not submit to the conference unless you are ready to review up to 6 papers for your track; authors who do not have the bandwidth or do not meet the review standards of the conference may find their paper(s) rejected. *Rebuttal* To inform final decisions, the Web Conference 2022 will consider author rebuttals. Authors will have the chance to provide their rebuttals in response to the reviews, mainly making clarifications and answering key questions raised by the reviewers. No additional technical contents or experimental results will be considered during the rebuttal phase. The final decision will be made not only based on technical merits but also the rebuttal from the authors where applicable. *Publication policy* Accepted papers will require a further revision in order 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. All accepted papers will be published by ACM and will be available via the ACM Digital Library. To be included in the Proceedings, at least one author of each accepted paper must register for the conference and present the paper there. *Programs committee chairs* * Elena Simperl (King's College London) * Deepak Agarwal (Pinterest) * Aris Gionis (KTH Royal Institute of Technology) You can reach the chairs at: pc-chairs2022 at thewebconf.org From davidjrohde at gmail.com Thu Sep 9 11:11:29 2021 From: davidjrohde at gmail.com (david rohde) Date: Thu, 9 Sep 2021 17:11:29 +0200 Subject: Connectionists: Graph Machine Learning in Industry Webinar Message-ID: Criteo AI Lab is excited to be presenting Graph Machine Learning in Industry. Please join us on *Thursday, September 23rd, at 17:00 Paris time*. Registration is now open: https://sites.google.com/view/graph-ml-in-industry/home Many problems in data mining, machine learning, and computer science can be formulated as graph problems. From modelling relationships in social networks and recommender systems to identifying the strengths of molecule reactions, graphs are a natural way to represent certain systems. Research into this area has recently demonstrated the viability of this approach with many recent success stories. At the same time, research and deployment of graph machine learning solutions in an industrial setting present new and unique challenges. These include training the models at scale, dealing with heterogeneous data format, storing and updating large graphs, identifying new applications, among many others. In this spirit, the goal of *Graph Machine Learning in Industry* workshop is to gather the community of graph practitioners in the industry and to present recent ML solutions that are successful in solving real-world problems. Speakers: - James Zhang (AWS) - Charles Tapley Hoyt (Harvard Medical School) - Anton Tsitsulin (Google) - Cheng Ye (AstraZeneca) - Roc?o Mercado (MIT) - Lingfei Wu (JD.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From b.c.schwab at utwente.nl Thu Sep 9 09:42:30 2021 From: b.c.schwab at utwente.nl (b.c.schwab at utwente.nl) Date: Thu, 9 Sep 2021 13:42:30 +0000 Subject: Connectionists: PhD & Postdoc position available Message-ID: <67433125-19D4-4FB8-9570-2EB23814E5B6@utwente.nl> Dear Connectionists, interested in brain stimulation and looking for a PhD or Postdoc opportunity? Please find attached two open positions & contact me in case of questions! Best, Bettina -- Dr. Bettina C. Schwab Department of Neurophysiology and Pathophysiology University Medical Center Hamburg-Eppendorf Martinistr. 52, 20246 Hamburg, Germany Phone: +49-40-7410-57476 Email: b.schwab at uke.de http://bettina-schwab.net -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PhD_vacancy_neurotechnology.pdf Type: application/pdf Size: 95736 bytes Desc: PhD_vacancy_neurotechnology.pdf URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc_vacancy_MultiModal.pdf Type: application/pdf Size: 67914 bytes Desc: Postdoc_vacancy_MultiModal.pdf URL: From manish.saggar at gmail.com Thu Sep 9 20:11:02 2021 From: manish.saggar at gmail.com (Manish Saggar) Date: Thu, 9 Sep 2021 17:11:02 -0700 Subject: Connectionists: Postdoctoral positions in the Brain Dynamics Lab Message-ID: *Postdoctoral positions in the Brain Dynamics Lab @ Stanford University* *Description *: We are seeking 1-2 postdoctoral scholars with expertise in applying neuroimaging analysis methods to clinical datasets (e.g., patients diagnosed with mental health disorders). Strong emphasis on writing abilities. This person will interface with neuroimaging researchers, clinicians and computational researchers to apply computational methods to large scale clinical datasets (e.g., ABCD study dataset). Responsible for the implementation, analysis, and write-up of resting-state and task-based fMRI studies to understand individual differences in brain dynamics across psychiatric diagnoses. This position provides the opportunity for the applicant to learn state-of-the-art data processing and analysis pipelines within a multidisciplinary team, whose goal is to develop computational methods for anchoring psychiatric diagnosis into spatiotemporal features of the brain. *Qualifications:* - highly motivated individuals who have demonstrated academic excellence, including publications in first-class journals and conferences. - have a PhD (or equivalent) in Neuroscience, Psychology or a related field. - expertise in statistical methods for medical image analysis - expertise in fMRI data analysis (e.g., using FSL) and processing (e.g., Matlab) - expertise in academic writing - experience with large scale consortium data is a plus *To apply: *Please send - cover letter that includes the names and contacts for three references - short statement of research interests - current CV - links to 2-3 published articles *to Manish Saggar (saggar at staford.edu )* *More information about the lab - *http://bdl.stanford.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From manish.saggar at gmail.com Thu Sep 9 20:22:31 2021 From: manish.saggar at gmail.com (Manish Saggar) Date: Thu, 9 Sep 2021 17:22:31 -0700 Subject: Connectionists: Research Assistant/Lab Manager position in the Brain Dynamics Lab at Stanford University Message-ID: Research Assistant/Lab Manager position in the Brain Dynamics Lab at Stanford University *Description *: We are seeking a research assistant who will be responsible for data collection and quality control. The ability to handle multiple projects and superior communication skills are central to this role, which include timely and clear responses to inquiries by lab members and collaborators. You will also have the opportunity to learn and apply computational methods to neuroimaging datasets. *Qualifications:* - Bachelor?s in Psychology, Neuroscience or a related field - Serve as primary contact with research participants, sponsors, and regulatory agencies - Previous experience in collecting fNIRS/fMRI/EEG data is a plus - Coordinate functional fNIRS/EEG/MRI scanning sessions and pre/post scan procedures - Determine eligibility of and obtain informed consent from study participants according to protocol - Assist in developing recruitment strategies - Administer study cognitive and neuropsychological tests and collect medical information according to protocols - Ensure compliance with research protocols, and review and audit case report forms for completion and accuracy with source documents - Prepare regulatory submissions, and ensure Institutional Review Board renewals are completed *To apply: *Please send - cover letter that includes the names and contacts for three references - current CV *to Manish Saggar (saggar at staford.edu )* *More information about the lab: *http://bdl.stanford.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksmith at kth.se Thu Sep 9 18:34:35 2021 From: ksmith at kth.se (Kevin Smith) Date: Fri, 10 Sep 2021 00:34:35 +0200 Subject: Connectionists: [Jobs] Doctoral student in deep learning with vision transformers at KTH in Stockholm, Sweden Message-ID: We are looking for a doctoral student interested in Artificial Intelligence, Machine Learning, and Computer Vision that will work in a newly funded project financed by the Swedish AI-program WASP (Wallenberg AI, Autonomous Systems and Software Program, www.wasp-sweden.org), which offers a graduate school with research visits, partner universities, and visiting lecturers. The aim of the research project is to develop more efficient vision transformer models. Specifically, we are interested in methods that allow transformers to scale up to operate on high resolution images, an essential task for medical image analysis. We are interested in developing more data-efficient training methods for vision transformers which reduce their reliance on large pretraining datasets. The project will include aspects of interpretability ? providing insights into how vision transformers make decisions ? and applications to medical image analysis. Read more and apply at the KTH job portal https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:427503/where:4/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From confaiforpeople at gmail.com Thu Sep 9 19:11:11 2021 From: confaiforpeople at gmail.com (Conf. AI for People) Date: Thu, 9 Sep 2021 19:11:11 -0400 Subject: Connectionists: =?utf-8?q?CFP=3A_2nd_Call_for_papers_for_the_Inte?= =?utf-8?q?rnational_Conference_=E2=80=9CAI_for_People=3A_Towards_S?= =?utf-8?b?dXN0YWluYWJsZSBBSeKAnSAoQ0FJUOKAmTIxKQ==?= Message-ID: Dear Colleague, we are writing to you as we understand you may be interested in this year?s edition of the International Conference ?AI for People: Towards Sustainable AI? (CAIP?21). Below you will find the official Call for Full papers. Please feel free to distribute it to mailing lists you manage and to everybody who may be interested. Thank you and we hope to see you in CAIP?21! Follow us at: http://aiforpeople.org/conference https://www.linkedin.com/company/19176054/ https://www.facebook.com/aiforpeople https://twitter.com/AIforPeople https://www.instagram.com/ai_for_people/ ------------------------------------------------ International Conference ?AI for People: Towards Sustainable AI? (CAIP?21) November 20-24, 2021 Call for Full Papers https://aiforpeople.org/conference/cfp.php Please distribute (Apologies for cross-posting) If you wish to receive more information about CAIP?21 https://mailchi.mp/281085ba7b4b/caip21 ------------------------------------------------ The International Conference ?AI for People: Towards Sustainable AI? was born out of the idea of shaping Artificial Intelligence technology around human and societal needs. While Artificial Intelligence (AI) can be a beneficial tool, its development and its deployment impact society and the environment in ways that need to be thoroughly addressed and confronted. This year?s edition will focus on Sustainable AI, covering different aspects of social development, environmental protection, and economic growth applied in the design and deployment of AI systems. The conference will provide its participants with opportunities to gain a better understanding of the major challenges of utilizing AI for the societal good. Additionally, it should serve as an incubator for interdisciplinary communities that share a research agenda to exchange and discuss ideas related to the design and application of Sustainable AI. Here, Sustainable AI is a movement to foster change towards greater ecological integrity and social justice in the entire life cycle of AI systems. *** Themes and Topics *** The conference will be interdisciplinary and it welcomes contributions from different disciplines, spanning from computer science, the social sciences, and the humanities. Possible topics include but are not limited to: - AI applications for the social good and towards sustainable development goals - Ethics of Artificial Intelligence - Sustainable AI for Smart Cities - Policy recommendations for Sustainable AI - Green AI for environmental protection - Accuracy and Robustness of AI systems - Bias and Fairness in AI Systems - Privacy and Accountability in AI Systems - Safety and Security in AI Systems - Explainability and Transparency in AI Systems *** Important Dates *** Submission deadline: October 1st, 2021 Notification: November 1st, 2021 Camera-ready: November 6th, 2021 Conference Days: November 20-24, 2021 *** EAI Proceedings *** Conference proceedings will be published in the EAI CORE Proceedings and included in the European Digital Library (EUDL) and will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP. *** Organising Committee *** The International Conference on ?AI for People: Towards Sustainable AI? is organized by the nonprofit international organization ?AI for People? (aiforpeople.org). - General Chairs: Marta Ziosi (Oxford Internet Institute, University Oxford), Philipp Wicke (University College, Dublin) and Jo?o Miguel Cunha (University of Coimbra), Angelo Trotta (University of Bologna) - Program Chairs: Lea Buchhorn (Leiden University) and Vincenzo Lomonaco (University of Pisa) - Finance Chair: Aina Turillazzi (Tilburg University) - Publication Chair: Angelo Trotta (University of Bologna) - Technical Program Committee: Kevin Trebing (Plan D GmbH) and Gabriele Graffieti (University of Bologna) CAIP'21 is technically sponsored by: EAI. CAIP'21 is supported by: EurAI. From junfeng989 at gmail.com Thu Sep 9 23:45:47 2021 From: junfeng989 at gmail.com (Jun Feng) Date: Fri, 10 Sep 2021 11:45:47 +0800 Subject: Connectionists: [Extended Deadline: Sep. 15][10+ Journal Special Issues] CFP IEEE DependSys 2021: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= CFP IEEE DependSys 2021 The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications Dec. 17-19, Haikou, China [Submission Deadline: Sep. 15][10+ Journal Special Issues] http://www.ieee-cybermatics.org/2021/dependsys/ IEEE DependSys 2021 conference is the 7th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2021 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 10+ SCI & EI indexed prestigious journals (confirmed). 1. IEEE Transactions on Intelligent Transportation Systems SI on Graph-based Machine Learning for Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_db671bf4e4eb4a41ac1cf6da14a77750.pdf 2. IEEE Transactions on Intelligent Transportation Systems SI on Data Science for Cooperative Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_de7a6f420a2b4c6d894e4de63e495624.pdf 3. IEEE Transactions on Network Science and Engineering SI on The Nexus Between Edge Computing and AI for 6G Networks https://www.comsoc.org/publications/journals/ieee-tnse/cfp/nexus-between-edge-computing-and-ai-6g-networks 3. IEEE/ACM Transactions on Computational Biology and Bioinformatics SI: Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare https://www.computer.org/digital-library/journals/tb/call-for-papers-special-issue-on-deep-learning-empowered-big-data-analytics-in-biomedical-applications-and-digital-healthcare 5. Security and Communication Networks SI on Protocols, Technologies, and Infrastructures for Secure Mobile Video Communications https://www.hindawi.com/journals/scn/si/926306/ 6. MDPI Sensors SI on Recent Advances in Algorithm and Distributed Computing for the Internet of Things https://www.mdpi.com/journal/sensors/special_issues/Algorithm_Distributed_Computing_IOT 7. International Journal of Distributed Sensor Networks SI: Privacy-Preserving Solutions in the Internet of Things https://journals.sagepub.com/page/dsn/collections/special-issues/privacy-preserving-solutions-in-the-internet-of-things 8. IET Communications SI on Intelligent Metasurfaces for Smart Connectivity https://digital-library.theiet.org/files/IET_COM_CFP_IMSC.pdf 9. Building and Environment SI: AI and IoT Applications of Smart Buildings and Smart Environment Design, Construction and Maintenance https://www.journals.elsevier.com/building-and-environment/call-for-papers/ai-and-iot-applications-of-smart-buildings-and-smart-environment-design-construction-and-maintenance 10. Journal of Systems Architecture SI: Cloud-Edge-End Architecture for Internet of Things Applications https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/special-issue-on-cloud-edge-end-architecture-for-internet-of-things-applications-vsi-cloud-edge-end-iot 11. Information SI: "Crossing ?Data, Information, Knowledge, and Wisdom? Models?Challenges, Solutions, and Recommendations" https://www.mdpi.com/journal/information/special_issues/DIKW_RA_2021 * More special issues will be added later. http://www.ieee-cybermatics.org/2021/dependsys/special.html ================== Important Dates ================== Paper Submission Deadline: 15 September, 2021 Authors Notification: 15 October, 2021 Final Manuscript Due: 15 November, 2021 Conference Date: 17-19 December, 2021 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N28864) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Stephen S. Yau, Arizona State University, USA - Zheng Yan, Xidian University, China and Aalto University, Finland - Willy Susilo, University of Wollongong, Australia Program Chairs - Bin Song, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Haikou, China, Haikou, China - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Fri Sep 10 05:33:28 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Fri, 10 Sep 2021 12:33:28 +0300 Subject: Connectionists: Free attendance of the 'AI Mellontology (futurology)' e-symposium 15/9/2021 References: <005201d79fed$d2702770$77507650$@csd.auth.gr> <008301d79ff1$891505b0$9b3f1110$@csd.auth.gr> <007601d79ff3$001626c0$00427440$@csd.auth.gr> Message-ID: <1cf401d7a626$e9cf6450$bd6e2cf0$@csd.auth.gr> Dear AI researcher, scientist, engineer, student, enthusiast, you are welcomed to attend the 'AI Mellontology (futurology)' e-symposium (https://event.ai4media.eu/ai-mellontology-e-symposium-2021) on 15/9/2021 for free. No registration is needed. Horizon2020 AI flagship R&D projects: AI4Media and ELISE , together with the International AI Doctoral Academy (AIDA) joined forces in sponsoring this event. The program and the participation link are attached. More details on the panel topic descriptions can be found in the www page. There will be 3 AI science/technology sessions in the morning and 3 AI society / industry / economy sessions in the afternoon. Participants will debate the ?AI future ?, namely hot AI research issues of any form on any scientific, societal, industrial/economic AI aspect. Session panelists will make their short statements during each panel to initiate discussion by the audience. Discussion will be informal, hopefully lively and hot aiming to debate contrasting views (thesis-antithesis) on each issue. You are welcome to a) see panelist and other views and voice your own views on any panel topic, by using the ?Voice your views? area, b) propose your own AI grand challenge and c) actively participate in each panel discussion. The more innovative, futuristic, even provocative your views are, the better. The discussion will be conducted though in a scientific way and in good faith. The entire discussion and contributions will be compiled later on in a public ?AI research white paper? that will be used to guide R&D anywhere in the world, notably in the framework of AIDA and Horizon2020 ICT48 R&D projects. Here are some notable panel topic examples: 1. Knowledge is the basis of our society, yet it is not formally quantified. How can we quantify knowledge, knowledge aggregation and transfer (education)? 2. How can we build trustworthy and humanistic AI, while still advancing economic growth and competitiveness? For any questions, you can contact the e-symposium secretary Mrs. Ioanna Koroni koroniioanna at csd.auth.gr (for organization matters) or Prof. Ioannis Pitas pitas at csd.auth.gr (for scientific matters). On behalf of the Organizing Committee Prof. Ioannis Pitas AI Mellontology e-symposium chair AI Mellontology (futurology) e-symposium Date: 15/9/2021 www page: https://event.ai4media.eu/ai-mellontology-e-symposium-2021 Zoom link for free participation: https://authgr.zoom.us/j/96014032511 AI Mellontology (futurology) e-symposium Program 15/9/2021 9:00-9:15 Opening (Prof. Ioannis Pitas) Panel-initiated discussions Scientific/technical panel topics (morning sessions 9:00-13:00 CEST, Coordinator: Prof. N. Cesa-Bianchi) 9:15-10:15 Dr. S. Papadopoulos and Dr. N. Sarris ?Navigating Disinformation Landscapes within Synthetic Realities. AI a friend or a foe??, Panelists: Prof. M. Bielikova, R. Fletcher, A. F?lstad. R. Tudor Ionescu. 10:15-11:15 Prof. N. Sebe, ?New Learning Methods?, Panelists: Prof. A. Del Bimbo, Prof. C. Snoek, Prof. 11:15-11:45 Coffee break 11:45-12:45 Prof. I. Pitas, ?Grand AI challenges? Social panel topics (afternoon sessions 14:00-18:00 CEST, Coordinator: Dr. Ioannis Kompatsiaris, CERTH/ITI) 14:00-15:00 Prof. T. Tommasi, B. Caputo ?Fairness Certification in AI?, Panelists: G. Bernini, M. Haataja, Prof. B. Nessler, Prof. T. Tommasi. 15:00-16:00 K. Heine ?Legal Personality of AI?, Panelists: Prof. K. Heine; Dr. A. Quintavalla 16:00-16:30 Coffee break 16:30-17:30 Prof. I. Pitas ?AI Act and GDPR impact on European growth and competitiveness?, Panelists: E. Girardi, Prof. I. Pitas, S. Scalzo, Prof. P. Van Cleynenbreugel 17:30-18:00 AI Mellontology follow-up: AI white paper. AI challenges (all, Chair: Prof. Ioannis Pitas) -- 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 aldo.lipani at acm.org Fri Sep 10 06:12:40 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Fri, 10 Sep 2021 12:12:40 +0200 Subject: Connectionists: CIKM 2021 - Call for Participation In-Reply-To: <5b274e4c-e9b4-41fc-9255-b5718437671b@Spark> References: <5b274e4c-e9b4-41fc-9255-b5718437671b@Spark> Message-ID: ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online from 1-5 November 2021 in a lively and interactive manner. Now in its 30th year, CIKM is a leading international forum for research into information and knowledge management, as well as recent advances in data and knowledge bases. The list of keynote speakers for this year CIKM is available here:?https://www.cikm2021.org/programme/keynote-speakers --------------------------------- Registration Fees --------------------------------- All registration fees are quoted in US Dollars ? USD Category - Author Author Registration (Until 15th September) Author ACM-SIG Member [Either Professional or Student] $279 Author Non-Member $329 Category ? Workshop Author Workshop Author Registration (Until 25 October) AUTHOR AnalytiCup or Workshop $49 (with full access to conference) Category - Attendee Attendee Registration (Until 25 October) Conference Attendee $49 --------------------------------- ACM-SIG Member --------------------------------- Accepted memberships include ACM, SIGIR and SIGweb. To join SIGIR as a member, please visit this link: https://sigir.org/general-information/membership/ To join SIGWEB as a member, please visit this link: https://www.sigweb.org/about-sigweb/join-acm-sigweb To join ACM, please visit this link: https://www.acm.org/membership/join --------------------------------- Registration includes --------------------------------- *? ?Admission to all sessions, including, plenary keynotes, main tracks sessions, posters, workshops, tutorials, and AnalytiCup *? ?Access to digital copy of the proceedings *? ?Gift: CIKM-21 polo shirt. Register by the early deadline of 15 September to get the shirt before the conference --------------------------------- Author Registration Policy --------------------------------- *? ?All author registrations should be received by 15 September in order to have the papers included in the proceedings. Only papers covered by a registration will be included in the conference proceedings. *? ?At least one author from each paper must register for the conference. AUTHORS TAKE NOTE: Each accepted paper must have an author registration fee paid. For example, if you are the solo author of two papers, you should pay the registration fee twice. On the other hand, if you are an author of two papers, each with other co-author, you may decide to register yourself for one of the papers, and one of your co-authors for the other paper. --------------------------------- Registration Methods --------------------------------- Please register through the online registration system. Methods of payment accepted include credit card and wire transfer. Any queries email: cikm21 at uq.edu.au Register: https://cvent.me/av1nnD --------------------------------- Topics of Interest --------------------------------- Conference sessions will include papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information ??credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation,??best practices) * Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) --------------------------------- CIKM 2021 Terms & Conditions --------------------------------- *? ?Registrations are accepted only on full completion of the online registration form. *? ?No booking will be confirmed until the registration payment is received in full. *? ?CIKM 2021 Committee reserves the right to alter any of the program or other arrangements for this conference; including cancellation or postponement of the conference should unforeseen circumstances require it. The organisers accept no responsibility for resulting costs or inconvenience to participants in this case. *? ?It is the responsibility of the author or participant to ensure that adequate internet connectivity is available at their place of viewing for the duration of the online conference. --------------------------------- Cancellation Policy --------------------------------- Requests for cancellations or changes must be sent in writing to the registration desk: cikm21 at uq.edu.au If you cancel your registration: *??By 25 October Attendee registrations will receive a 50% refund *??No refunds issued from 26 October 2021 *??There is no refund for non-attendance *??No refunds for Author registrations --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- Contact Information ---------------------------- For any registration-related issues or queries please send an email to: cikm21 at uq.edu.au Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Fri Sep 10 07:41:19 2021 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Fri, 10 Sep 2021 13:41:19 +0200 Subject: Connectionists: Postdoc in ML testing with an emphasis on constraints Message-ID: <8d9a2405-586a-d49f-f7dc-0ba4d5c468e1@unamur.be> Dear colleagues, We have a two-year postdoc position to fill in the EOS VeriLearn (Verifying Learning Artificial Intelligence Systems) project at the Faculty of Computer Science of UNamur (Namur, Belgium). VeriLearn is a large project involving 10 academics from three Belgian unversities.? Within VeriLearn, the candidate will be integrated in an interdisciplinary team working at the intersection of AI, ML and SE. The goal of this postdoctoral research is to define, design and evaluate ?active testing? (a mix of active learning and software testing) techniques for ML models. In particular, the successful candidate will analyse automatically the datasets to infer properties of interest in the form of constraints, rank them depending on the desired validation goal and integrate them in testing techniques (metamorphic testing, constraint-guided fuzzing, etc.). This candidate will work with Prof. Benoit Fr?nay and Dr. Gilles Perrouin in the Faculty of Computer Science at the University of Namur in collaboration with the KULeuven DTAI group. More infos on * https://jobs.unamur.be/emploi.2021-09-09.2912866089/view * https://euraxess.ec.europa.eu/jobs/681147 Deadline: October, 15th, 2021 (11h59 pm AoE).? Expected starting date: January 1st, 2022 (negotiable, depending on COVID or candidate constraints). Please send your application or questions to benoit.frenay at unamur.be and gilles.perrouin at unamur.be. Best regards, Beno?t Fr?nay Gilles Perrouin -------------- next part -------------- An HTML attachment was scrubbed... URL: From ieao at colourfig.com Mon Sep 13 00:16:48 2021 From: ieao at colourfig.com (Ifedayo-Emmanuel Adeyefa-Olasupo) Date: Mon, 13 Sep 2021 04:16:48 +0000 Subject: Connectionists: New work from the Nandy Lab at Yale Message-ID: Dear Colleagues, I would like to share with you a new paper on predictive remapping from the Nandy lab at Yale. See link: https://www.biorxiv.org/content/10.1101/2021.09.10.459799v1 If anyone is interested in discussing the more technical aspects of this paper, you can connect with me on figbox. Best Regards, Ifedayo-Emmanuel Programmer @https://figbox.co/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Fri Sep 10 13:51:46 2021 From: jkrichma at uci.edu (Jeffrey Krichmar) Date: Fri, 10 Sep 2021 10:51:46 -0700 Subject: Connectionists: Biologically plausible models of path planning in humans and rodents Message-ID: <98537C4D-0AA0-4C5E-8C77-EBBA531BA707@uci.edu> Dear Connectionists, We recently published two papers on biologically plausible models of path planning that simulate and analyze navigation strategies in rodents and humans. Some of the ideas presented in these papers may be applicable to autonomous systems. If you are interested, please see: Krichmar, J.L., and He, C. (2021). Importance of Path Planning Variability: A Simulation Study. Topics in Cognitive Science. https://onlinelibrary.wiley.com/doi/10.1111/tops.12568 Individuals vary in the way they navigate through space. Some take novel shortcuts, while others rely on known routes to find their way around. We wondered how and why there is so much variation in the population. To address this, we first compared the trajectories of 368 human subjects navigating a virtual maze with simulated trajectories. The simulated trajectories were generated by strategy-based path planning algorithms from robotics. Based on the similarities between human trajectories and different strategy-based simulated trajectories, we found that there is a variation in the type of strategy individuals apply to navigate space, as well as variation within individuals on a trial-by-trial basis. Moreover, we observed variation within a trial when subjects occasionally switched the navigation strategies halfway through a trajectory. In these cases, subjects started with a route strategy, in which they followed a familiar path, and then switched to a survey strategy, in which they took shortcuts by considering the layout of the environment. Then we simulated a second set of trajectories using five different but comparable artificial maps. These trajectories produced the similar pattern of strategy variation within and between trials. Furthermore, we varied the relative cost, that is, the assumed mental effort or required timesteps to choose a learned route over alternative paths. When the learned route was relatively costly, the simulated agents tended to take shortcuts. Conversely, when the learned route was less costly, the simulated agents showed preference toward a route strategy. We suggest that cost or assumed mental effort may be the reason why in previous studies, subjects used survey knowledge when instructed to take the shortest path. We suggest that this variation we observe in humans may be beneficial for robotic swarms or collections of autonomous agents during information gathering. Krichmar, J.L., Ketz, N.A., Pilly, P.K., and Soltoggio, A. (2021). Flexible Path Planning through Vicarious Trial and Error. bioRxiv, 2021.2009.2008.459317. https://www.biorxiv.org/node/2148912.abstract Flexible planning is necessary for reaching goals and adapting when conditions change. We introduce a biologically plausible path planning model that learns its environment, rapidly adapts to change, and plans efficient routes to goals. Unlike prior models of hippocamapl replay, our model addresses the decision-making process when faced with uncertainty. We tested the model in simulations of human and rodent navigation in mazes. Like the human and rat, the model was able to generate novel shortcuts, and take detours when familiar routes were blocked. Similar to rodent hippocampus recordings, the neural activity of the model resembles neural correlates of Vicarious Trial and Error (VTE) during early learning or during uncertain conditions. Similar to rodent studies, after learning, the neural activity resembles forward replay or preplay predicting a future route, and VTE activity decreases. We suggest that VTE, in addition to weighing possible outcomes, is a way in which an organism may gather information for future use. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From franrruiz87 at gmail.com Mon Sep 13 03:25:33 2021 From: franrruiz87 at gmail.com (=?UTF-8?Q?Francisco_J=2E_Rodr=C3=ADguez_Ruiz?=) Date: Mon, 13 Sep 2021 08:25:33 +0100 Subject: Connectionists: Submission Mentoring Program for AISTATS 2022 Message-ID: Dear all, The AISTATS 2022 organizing committee is pleased to announce a pilot program to assist underrepresented and/or first-time AISTATS submitters. This program will match submitters (mentees) with senior researchers (mentors) to provide targeted feedback on their AISTATS submission. Applications to receive/provide mentorship will be accepted on a rolling basis until September 20th, 2021 following https://forms.gle/eQMxu293dM8ZfC6H7 To apply to be a mentee, please prepare a PDF of up to 3-pages with a draft/excerpt/extended abstract of your submission, and 2-4 names of senior researchers you would like to be matched with. While we cannot guarantee an exact match, we will try our best. To apply to be a mentor, you should be an assistant professor+ (academia) or senior research scientist+ (industry). You can also nominate someone else. Mentors will be acknowledged on the AISTATS website. ---Timelines--- Sep 20: last day to apply to be a mentee/mentor. Matches made on a rolling basis up to this date, no later than 1 week after application is received Sep 27: mid-program check-in Oct 8: AISTATS abstract submission deadline Oct 15: AISTATS paper submission deadline ---Mentee/mentor expectations--- Mentees and mentors are expected to communicate via email and/or video/audio chat We will check in around Sep 27 to see if the match is going well. Mentees or mentors can request a new match if needed at that time. Time commitment is ~1 hour/week until the paper deadline, or ~5 hours total. Data sharing: For mentees, the PDF/extended abstract will be shared with senior researchers to organize a match. For both mentees/mentors, your contact info will be shared with your mentor/mentee once matched. Email aistats2022+mentorship at gmail.com if you have any questions. -- Francisco J. R. Ruiz Research Scientist DeepMind -------------- next part -------------- An HTML attachment was scrubbed... URL: From johan.suykens at esat.kuleuven.be Sun Sep 12 10:15:17 2021 From: johan.suykens at esat.kuleuven.be (Johan Suykens) Date: Sun, 12 Sep 2021 16:15:17 +0200 Subject: Connectionists: Postdoc positions KU Leuven (ERC Advanced grant E-DUALITY) In-Reply-To: <9ea97614-5719-28fc-d775-ceac58b3e9b8@esat.kuleuven.be> References: <9ea97614-5719-28fc-d775-ceac58b3e9b8@esat.kuleuven.be> Message-ID: <4acb404c-0159-699e-2cf6-6033970bc029@esat.kuleuven.be> The research group KU Leuven ESAT-STADIUS is currently offering 2 Postdoc (1 year, extendable) positions within the framework of the ERC (European Research Council) Advanced Grant E-DUALITY http://www.esat.kuleuven.be/stadius/E (PI: Johan Suykens) on Exploring Duality for Future Data-driven Modelling. Within this ERC project E-DUALITY we aim at realizing a powerful and unifying framework (including e.g. kernel methods, support vector machines, deep learning, networks, tensor-based models and others) for handling different system complexity levels, obtaining optimal model representations and designing efficient algorithms. The research positions relate to the following possible topics: -1- Duality principles -2- Multiple data sources and coupling schemes -3- Manifold learning and semi-supervised schemes -4- Optimal prediction schemes -5- Scalability, on-line updating, interpretation and visualization -6- Mathematical foundations -7- Matching model to system characteristics For further information and on-line applying, see https://www.kuleuven.be/personeel/jobsite/jobs/54681807" (Postdoc positions) (click EN for English version). The research group ESAT-STADIUS http://www.esat.kuleuven.be/stadius at the university KU Leuven Belgium provides an excellent research environment being active in the broad area of mathematical engineering, including data-driven modelling, neural networks and machine learning, nonlinear systems and complex networks, optimization, systems and control, signal processing, bioinformatics and biomedicine. From terry at salk.edu Sat Sep 11 17:39:29 2021 From: terry at salk.edu (Terry Sejnowski) Date: Sat, 11 Sep 2021 14:39:29 -0700 Subject: Connectionists: NEURAL COMPUTATION - September 1, 2021 In-Reply-To: Message-ID: Neural Computation - Volume 33, Number 9 - September 1, 2021 available online for download now: http://www.mitpressjournals.org/toc/neco/33/9 http://cognet.mit.edu/content/neural-computation ----- Article A Biologically Plausible Neural Network for Multi-channel Canonical Correlation Analysis David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, and Dmitri B. Chklovskii Letters Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning Jeffrey Frederic Queisser, Minju Jung, Takazumi Matsumoto, and Jun Tani Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically-inspired Sparsity Priors Alejandro Ojeda, Kenneth Kreutz-Delgado, and Jyoti Mishra Few-Shot Learning in Spiking Neural Networks by Multi-Time Scale Optimization Runhao Jiang, Jie Zhang, Rui Yan, and Huajin Tang Least Kth-Order and R?nyi Generative Adversarial Networks Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, and Philippe Burlina Do Neural Networks for Segmentation Understand Insideness? Kimberly Villalobos, Vilim ?tih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, and Xavier Boix On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments Asieh Abolpour Mofrad, Samaneh Abolpour Mofrad, Anis Yazidi, and Matthew G. Parker Statistical Properties of Color Matching Functions Mar?a da Fonseca, Ines Samengo ----- 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 max.garagnani at gmail.com Fri Sep 10 11:56:06 2021 From: max.garagnani at gmail.com (Max Garagnani) Date: Fri, 10 Sep 2021 15:56:06 +0000 Subject: Connectionists: Part-time Associate Lecturer wanted - Goldsmiths, University of London (UK) Message-ID: Part Time Associate Lecturer required Department of Computing, Goldsmiths ? University of London Spring Term - to teach Cortical Modelling module Part time hours equivalent to 0.05 FTE, Salary GR7, SP32 pro-rata or ?25.67 per hour. CORTICAL MODELLING This module provides a theoretical and practical introduction to computational neuroscience. As a core component of the MSc in Computational Cognitive Neuroscience (see also https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/), it covers the ?lower-level? aspects of brain modelling, focussing on single neurons and simple cortical circuits, including (but not limited to): neurobiology of the neuron (basic synaptic mechanisms, channel conductance, membrane potential), generation and propagation of action potential (Hodgkin-Huxley, compartmental models), leaky integrate-and-fire (LIF) neurons, random and feed-forward networks, competitive (Kohonen) and point-attractor networks. The course is delivered by means of ten lectures along with ten practical sessions (labs / workshops), each two hours long. The practical sessions typically involve implementing models of single neurons and small networks of neurons using MATLAB. Students who successfully complete this module should be able to: (i) demonstrate knowledge and understanding of fundamental concepts of computational neuroscience; (ii) explain the main physical characteristics of biological neurons (synaptic mechanisms and membrane potential, action potential generation and propagation) and how they can be modelled; (iii) Implement simple (one or two compartments) models of LIF neurons; (iv) build computational models of small cortical circuits as simple networks of learning neurons. To apply, please send a CV and covering letter to Catherine Edlin Bellamy, c.bellamy at gold.ac.uk and Dr. Max Garagnani, m.garagnani at gold.ac.uk Catherine Edlin Bellamy / Inga Tillere Department Business Manager (job share) Department of Computing Goldsmiths, University of London www.gold.ac.uk/computing Subscribe to our blog | Follow us on Twitter ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From tiako at ieee.org Fri Sep 10 13:53:56 2021 From: tiako at ieee.org (Pierre F. Tiako) Date: Fri, 10 Sep 2021 12:53:56 -0500 Subject: Connectionists: (2nd CFP)SCOPUS/WoS Indexed 2021 OkIP Intl Conf on Automated & Intelligent Systems|| OKCity, USA|| Nov 15-18 Message-ID: [Apologies if you receive multiple copies. Deadlines Extended] --- Call for Abstracts and Papers ------------- 2021 OkIP International Conference on Automated and Intelligent Systems (CAIS) MNTC Conference Center, Oklahoma City, OK, USA & Online November 15-18, 2021 https://eventutor.com/e/CAIS001 >> Co-located Conferences and Events https://eventutor.com/event/4/page/4-conferences >> Keynotes/Invited Talks ?Machine Learning for Critical Systems Security? - Nancy R. Mead, Ph.D., Carnegie Mellon University, USA ?Sustainable Energy Harvesting and Wireless Power Transfer Systems? - Manos M. Tentzeris, PhD, Georgia Institute of Technology, USA "Blockchain Technology and its implications in Business Applications and Healthcare IT." - Akhil Kumar, Ph.D., Penn State University, USA >> Technical Research & Industry Tracks - Agent-based, Automated, and Distributed Supports - Intelligent Systems and Applications - Knowledge-based and Control Supports - Robotics and Vehicles >> Contribution Types - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Poster/Journal First: Displayed/Oral presented (1 page) >> Important Dates (Extended): - Submission: Oct 16, 2021 - Notification: Oct 23, 2021 - Conference: Nov 15-18, 2021 >> Technical Program Committee https://eventutor.com/event/6/page/12-committee >> Venue https://eventutor.com/event/4/page/9-venue >> For more information, submission details, and important dates visit: https://eventutor.com/e/CAIS001 Please feel free to contact us for any inquiry at: info at okipublishing.com -------- Pierre Tiako 2021 OkIP CAIS General Chair tiako at ieee.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From gherardo.varando at uv.es Mon Sep 13 02:55:19 2021 From: gherardo.varando at uv.es (Gherardo Varando) Date: Mon, 13 Sep 2021 08:55:19 +0200 Subject: Connectionists: AISTATS 2022 2nd Call for Papers Message-ID: Dear all, We invite submissions to the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), and welcome paper submissions on artificial intelligence, machine learning, statistics, and related areas. **The submission form is now open in CMT**. Authors can submit their papers via this link https://cmt3.research.microsoft.com/AISTATS2022/. For questions, see the FAQs available here http://aistats.org/aistats2022/faqs.html. The dates are as follow: - **Abstract submission deadline: Friday, 8 October 2021 11:59am (UTC)** - **Paper submission deadline: Friday, 15 October 2021 11:59am (UTC)** - Supplementary material submission: Friday, 22 October 2021 11:59am (UTC) - Reviews released: Friday, November 26, 2021 - Author rebuttals due: Friday, 3 December 2021 11:59am (UTC) - Final decisions: Tuesday, January 18, 2022 - Camera-ready deadline: Wednesday, 23 February 2022 11:59am (UTC) - Tentative conference dates: March 30 - April 1, 2022 For details refer to the complete call for papers available at https://aistats.org/aistats2022/cfp.html. Physical Attendance The AISTATS 2022 organizing committee is committed to the safety and health of our community. We are currently reviewing the best option for AISTATS 2022 (either physical or virtual conference). In any case, **physical attendance will not be mandatory for authors of accepted papers.** As soon as we have made a final decision, we will update the information to the webpage. Thank you for your patience and understanding. Submission Mentorship The AISTATS 2022 organizing committee is pleased to announce a pilot program to assist underrepresented and/or first-time AISTATS submitters. This program will match submitters (mentees) with senior researchers (mentors) to provide targeted feedback on their AISTATS submission. Applications to receive/provide mentorship will be accepted on a rolling basis until September 20th, 2021 following this link https://forms.gle/eQMxu293dM8ZfC6H7. Check the full description of the Submission Mentoring Program available at the AISTATS 2022 website http://aistats.org/aistats2022/mentorship.html. Isabel Valera and Francisco J. R. Ruiz AISTATS 2022 Program Chairs Gustau Camps-Valls AISTATS 2022 General Chair https://aistats.org/aistats2022/ From boubchir at ai.univ-paris8.fr Sun Sep 12 13:27:39 2021 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Sun, 12 Sep 2021 19:27:39 +0200 Subject: Connectionists: [CfP] The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP) Message-ID: *CALL FOR PAPERS* The 2^nd international workshop on Machine Learning for EEG Signal Processing (MLESP 2021, https://mlesp2021.sciencesconf.org/) will be held online, from 9 to 12 december 2021, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021, https://ieeebibm.org/BIBM2021/) *Overview* EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought an impressive progress to solve several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss the recent advances. The topics of interest include but not limited to: - EEG signal processing and analysis - Time-frequency EEG signal analysis - Signal processing for EEG Data - EEG feature extraction and selection - Machine learning for EEG signal processing - EEG classification and Hierarchical clustering - EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.) - Machine learning in EEG Big Data - Deep Learning for EEG Big Data - Neural Rehabilitation Engineering - Brain-Computer Interface - Neurofeedback - EEG-based Biometrics - Related applications Important Dates Oct. 25, 2021 (11:59 pm CST): Due date for full workshop papers submission Nov. 5, 2021: Notification of paper acceptance to authors Nov. 15, 2021: Camera-ready of accepted papers Dec 3-6, 2021: Workshops Paper Submission - Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system. You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html - Electronic submissions in PDF format are required. Online Submission https://wi-lab.com/cyberchair/2021/bibm21/index.php Publication All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library. Journal Special Issue Selected high-quality papers will be invited for publication in a special issue in highly respected journal. *Contact* Prof. Larbi Boubchir /(//Workshop Chair/),University of Paris 8, France E-mail: larbi.boubchir at univ-paris8.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From georg.martius at tuebingen.mpg.de Mon Sep 13 04:29:12 2021 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Mon, 13 Sep 2021 10:29:12 +0200 Subject: Connectionists: Ph.D. Positions at the International Max Planck Research School for Intelligent Systems, Germany Message-ID: *Funded Ph.D. Positions* at the International Max Planck Research School for Intelligent Systems, in T?bingen and Stuttgart, Germany *Website: http://imprs.is.mpg.de* *Deadline: November 1, 2021* Details: The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and T?bingen collaborate to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its sixth generation of Ph.D. students in spring of 2022. Important This school is a key element of Baden-W?rttemberg?s Cyber Valley initiative to accelerate basic research and commercial development in artificial intelligence and robotics. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as: ? Biomedical Technology ? Computational Cognitive Science ? Computer Vision and Graphics ? Control Systems and Optimization ? Data Science ? Haptics and Human-Computer Interaction ? Machine Learning ? Micro- and Nano-Robotics ? Neuroscience ? Perceptual Inference ? Robotics and Human-Robot Interaction ? Soft Robotics and Materials The participating faculty are Aamir Ahmad, Zeynep Akata, Frank Allg?wer, Alexander Badri-Spr?witz, Robert Bamler, Christian F. Baumgartner, Philipp Berens, Matthias Bethge, Michael J. Black, Wieland Brendel, Andr?s Bruhn, Andreas Bulling, Paul-Christian B?rkner, Martin Butz, Caterina De Bacco, Christian Ebenbauer, Benedikt V. Ehinger, Peer Fischer, Andreas Geiger, Martin A. Giese, Moritz Hardt, Daniel H?ufle, Matthias Hein, Philipp Hennig, Ardian Jusufi, Christoph Keplinger, Katherine J. Kuchenbecker, Hendrik Lensch, Falk Lieder, Nicole Ludwig, Jakob Macke, Setareh Maghsudi, Georg Martius, Michael M?hlebach, Gerard Pons-Moll, Michael Pradel, Tian Qiu, C. David Remy, Samira Samadi, Syn Schmitt, Bernhard Sch?lkopf, Gabriele Schweikert, Michael Sedlmair, Fabian Sinz, Metin Sitti, Steffen Staab, Ingo Steinwart, J?rg St?ckler, Justus Thies, Benjamin Unger, Ulrike von Luxburg, Felix Wichmann, Bob Williamson, Thomas Wortmann, and Charley M. Wu. Associated faculty include R. Harald Baayen, Peter Dayan, Alexander Ecker, Jonathan Fiene, Bedartha Goswami, Ksenia Keplinger, Miriam Klopotek, Anna Levina, Jim Mainprice, Kay Nieselt, Peter Ochs, Mijung Park, Nico Pfeifer, Peter Pott, Gunther Richter, Ludovic Righetti, Marc Toussaint, Sebastian Trimpe, Isabel Valera, Maria Wirzberger, and Li Zhaoping. Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. We seek doctoral students who are curious, creative, and passionate about research to join our school and help advance human knowledge about intelligent systems. ? Admitted Ph.D. students can join our program starting in spring of 2022. ? You will be mentored by our internationally renowned faculty. ? You will register as a university doctoral student and conduct research. ? IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. ? All aspects of our program are in English. ? Your doctoral degree will be conferred when you successfully complete your Ph.D. project. ? Our dedicated staff members will assist you throughout your time as a doctoral student. People with a strong academic background and a master?s degree (conferred or expected soon) in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions. Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at https://imprs.is.mpg.de/application before 11:59 p.m. (23:59) CET on November 1, 2021. Finalists will be invited to selection interviews that will take place online from January 18 to January 21, 2022. For further information, please visit https://imprs.is.mpg.de From a.dorrn at fz-juelich.de Mon Sep 13 05:21:36 2021 From: a.dorrn at fz-juelich.de (Anja Dorrn) Date: Mon, 13 Sep 2021 11:21:36 +0200 Subject: Connectionists: Bernstein Conference 2021 - abstracts are published Message-ID: <0a620d64-3bc8-4620-9101-d177c7bdcd75@fz-juelich.de> 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. Due to the ongoing pandemic the Bernstein Conference will be held online. www.bernstein-conference.de ____ IMPORTANT DATES & NEWS * Bernstein Conference: September 21-23, 2021 * Abstracts are published * Registration is open and free of charge * PhD Symposium on September 24, 2021 ____ ABSTRACTS All accepted abstracts are now published online and are citable via Digital Object Identifiers (DOI). Please find them here: https://abstracts.g-node.org/conference/BC21/abstracts#/ ____ REGISTRATION The participation at the online Bernstein Conference 2021 will be free of charge for all participants. Thus the Bernstein Network contributes to keep the scientific exchange alive in the ongoing challenges during the pandemic. Please register here: https://hopin.com/events/bernstein-conference-2021 ____ PHD SYMPOSIUM The Bernstein PhD Symposium on September 24, 2021 is an opportunity for junior researchers to meet their peers, share their experience and make new connections. This year's topic is Gaming meets neuroscience. Please register here: https://hopin.com/events/bernstein-phd-symposium-2021 ____ INVITED SPEAKERS Keynote Timothy Behrens (University of Oxford, UK) Invited Talks Athena Akrami (University College London, UK) Nadine Gogolla (Max Planck Institute for Neurobiology, Martinsried, Germany) Guillaume Hennequin (University of Cambridge, UK) Jennifer Li & Drew Robson (Max Planck Institute for Biological Cybernetics, T?bingen, Germany) Scott Lindermann (Stanford University, USA) Ashok Litwin-Kumar (Columbia University, New York City, USA) Ida Momennejad (Microsoft Research, New York City, USA) Cristina Savin (New York University, USA) Marion Silies (Johannes Gutenberg University, Mainz, Germany) Daniela Vallentin (Max Planck Institute for Ornithology, Seewiesen, Germany) ____ CONFERENCE COMMITTEE Christian Leibold (Conference Chair) Julijana Gjiorgjieva (Program Chair) Christian Machens (Program Vice Chair) Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) & Matthew Botvinick, Megan Carey, Peter Dayan, Brent Doiron, Rainer Friedrich, Ann Hermundstad, Srdjan Ostojic, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference at fz-juelich.de -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.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), Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Mon Sep 13 06:24:04 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Mon, 13 Sep 2021 12:24:04 +0200 Subject: Connectionists: [CFP] 1st International Workshop on Deep Learning for Question Answering @ KGSWC 2021 Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 1st International workshop on "Deep Learning for Question Answering" which will be held online - November 19-24, 2021. *DLQA: **Deep Learning for Question Answering* 1st International Workshop, in conjunction with KGSWC 2021 November 19- 24, 2021 - Online *https://kgswc.org/iwdlq2021/ * *Important dates:* ? Workshop paper submission due: October 01, 2021 ? Workshop paper notifications: October 23, 2021 ? Workshop paper camera-ready versions due: November 02, 2021 ? Workshop: November 19-24, 2021 (half-day) All deadlines are 23:59 anywhere on earth (UTC-12). *Context of the workshop:* Question Answering System (QAS) is an important area in Artificial Intelligence. Generating automatic response is a fastidious and time-consuming task for there exists only some very general approaches to understand the intent of users. Question Answering (QA) is applied in many domain applications such as medical, finance, e-commerce, etc. Given a list of documents, a QAS can provide the right answer to the query pose in natural language. It combines natural language processing (NLP), information retrieval (IR) and knowledge representation and reasoning (KRR) as a relevant component for this process. The general process of QA is composed of different steps: (i) user query, (ii) question analysis (simple or complex query, open or closed domain, linguistic layer, semantic layer, etc), (iii) answer retrieval, and (iv) answer extraction from a set of candidate ones. All these steps are important to answer correctly, precisely and briefly to the user native language question. The answer can refer to a term, a sentence, an image, an audio, a video or to the full textual document. Recent Deep Learning approaches and information retrieval are implemented in order to reason over the questions and its links with the corresponding response. Modern NLP techniques make it possible for computers to read and interpret text, hear and understand speech, measure sentiment, and determine which parts in a document are important. Another important aspect of QAS is the integration of knowledge graphs (KGs) as a new dimension to provide a concise answer issued from the KG. KG is graph-based data model that structure and store real-world entities (abstract concepts) and their relationships (hierarchical and associative) in a graph. The KG is the most suitable and beneficial way to solve many challenging problems related to information domain. *Objective:* The first edition of this workshop aims at highlighting recent and future advances on question answering systems over structured semantic and unstructured textual data and to demonstrate the role of deep learning algorithms to enrich this process. In addition to that, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in Question Answering approaches. *Topics of interests*: ? Question answering over Linked Data ? Knowledge Graphs for Question Answering ? Complex Question Answering over texts and linked data ? Reasoning for Complex Question Answering ? Natural Language Processing based question answering ? Hybrid text and knowledge graph reasoning ? SPARQL query pattern generation ? Natural language querying of RDF exposed as Linked Data ? Ontology-based query answering ? Visual Question Answering ? Image question answering ? Audio and Speech Question Answering ? Video Question Answering ? Datasets combining structured and unstructured knowledge ? Applications of question answering ? and so on. *Submission:* The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions are not anonymous and must be PDF documents written in English and formatted using the following style files: KGSWC2021_authors_kit Papers are to be submitted through the workshop's *EasyChair * submission page. We welcome the following types of contributions: - *Full papers* (9-12 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics. - *Short papers* (6-8 pages): Ongoing works with relevant preliminary results, opened to discussion. Accepted papers are planned to publish with Springer Proceeding (Approval Pending) At least one author of each accepted paper must register for the workshop, in order to present the paper. For further instructions, please refer to the *KGSWC 2021 * page. *Workshop chairs: *Sarra Ben Abb?s, Engie, France Rim Hantach, Engie, France Philippe Calvez, Engie, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Mon Sep 13 06:25:17 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Mon, 13 Sep 2021 12:25:17 +0200 Subject: Connectionists: [CFP] First International Workshop on Joint Use of Probabilistic Graphical Models and Ontology @KGSWC 2021 Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 1st International workshop on "Joint Use of Probabilistic Graphical Models and Ontology" which will be held online - November 19-24, 2021. *PGMOnto: * *Joint Use of Probabilistic Graphical Models and Ontology* 1st International Workshop, in conjunction with KGSWC 2021 November 19- 24, 2021 - Online https://kgswc.org/pgmonto2021/ *Important dates:* ? Workshop paper submission due: *October 01, 2021* ? Workshop paper notifications: October 23, 2021 ? Workshop paper camera-ready versions due: November 02, 2021 ? Workshop: November 19-24, 2021 (half-day) All deadlines are 23:59 anywhere on earth (UTC-12). *Context of the workshop:* An ontology is well known to be the best way to represent knowledge in a domain of discourse. It is defined by Gruber as ?an explicit specification of a conceptualization?. It allows to represent explicitly and formally existing entities, their relationships, and their constraints in an application domain. This representation is the most suitable and beneficial way to resolve many challenging problems related to the information domain (e.g., semantic interoperability among systems, knowledge sharing, and knowledge capitalization). Ontology formalization can be based on First order logic (FOL) to describe concepts, relationships, and constraints, enabling it to make inferences and giving it a graphical representation. Using ontology has many advantages, among them we can cite ontology reusing, reasoning and explanation, commitment, and agreement on a domain of discourse, ontology evolution and mapping, etc. Over the last three decades, graphical probabilistic models (PGMs) have enjoyed a surge of interest as a practically feasible framework of expert knowledge encoding and as a new comprehensive data analysis framework. Probabilistic graphical models (PGMs) such as Bayesian network, influence diagram or probabilistic relational model are considered as one of the most successful tools that enable a compact representation of complex systems and the increased ability to effectively learn and perform inference in large networks. Besides the compact representation of probability, PGMs are also intuitively easier for a human to understand than joint probabilities because they highlight the direct dependencies between random variables and their overall semantics is easily captured visually through their graphical representation. In practice, the combination of PGMs and ontologies might be beneficial to have high expressiveness and reasoning possibilities under uncertainty. Despite the difference between these two domain representation models, they have the potential to complement each other: part of the value of ontology baseline knowledge may be used to enhance PGM by resolving challenging tasks: (i) the identification of relevant variables (variable selection), (ii) the determination of structural relationships between the considered variables (arcs), and (iii) the estimation of parameters associated to the model. Once the PGM is learned, its results can be used together with an ontology reasoning engine to perform probabilistic inference. This first regular workshop aims at demonstrating recent and future advances in Semantic Probabilistic Graphical Models and Probabilistic Ontologies. Moreover, this workshop offers an invaluable opportunity to boost collaboration and conversation between Industrial Experts and academic researchers, allowing therefore exchanging ideas and presenting results of on-going research in structured knowledge and causality approaches. *Objective:* We invite submission of papers describing innovative research and applications around the following topics. Papers that introduce new theoretical concepts or methods, help to develop a better understanding of new emerging concepts through extensive experiments, or demonstrate a novel application of these methods to a domain are encouraged. *Topics of interests*: - Construction of probabilistic ontologies - Construction of semantic probabilistic graphical model - Semantic causality and probability - Causality and ontology - PGM for ontology mapping - PGM learning - Ontology for PGM construction - Probabilistic inference engine - Tools, systems and applications - and so on. *Submission:* The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions are not anonymous and must be PDF documents written in English and formatted using the following style files: KGSWC2021_authors_kit Papers are to be submitted through the workshop's *EasyChair* submission page. We welcome the following types of contributions: - *Full papers* (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics. - *Short papers* (6-8 pages): Ongoing works with relevant preliminary results, opened to discussion. Accepted papers are planned to publish with Springer Proceeding (Approval Pending) At least one author of each accepted paper must register for the workshop, in order to present the paper. For further instructions, please refer to the *KGSWC 2021 * page. *Workshop chairs:* Sarra Ben Abb?s, Engie, France Ahmed Mabrouk, Engie, France Lynda Temal, Engie, France Philippe Calvez, Engie, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From sbminna at gmail.com Mon Sep 13 05:27:53 2021 From: sbminna at gmail.com (Inna S) Date: Mon, 13 Sep 2021 12:27:53 +0300 Subject: Connectionists: Computational neuroscientist position at the Gonda Brain Research Center, Bar-Ilan University In-Reply-To: References: Message-ID: *Faculty Position at the Gonda Brain Research Center, Bar-Ilan University* The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University looking for excellent early-stage scientist for tenure track position (rank commensurate with qualifications and experience) starting in the academic year 2022-2023. The position is open for a candidate with a focus in *computational neuroscience*, including theoretical neuroscience and modelling. All applicants will be evaluated for merit. The appointments are subject to budgetary approval. The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University brings together researchers from a variety of fields essential for understanding the brain, including life sciences, neurophysiology, psychology, linguistics, computer science, mathematics and physics. Research at the Center addresses the brain at all levels - from behavior and cognitive processing through neural circuits, all the way to molecular mechanisms, in health and in disease. Candidates are expected to have a doctorate and post-doctoral training in relevant fields, and to show an excellent track-record for their stage of career. Interested candidates should submit a letter of application, CV and a research statement. For more information, inquiries and applications, please contact Dr. Inna Sukhotinsky (Inna.Sukhotinsky at biu.ac.il). BIU is an equal opportunity employer and all qualified applicants will receive consideration for employment. *Submission deadline:* *September 30, 2021* [image: image.jpeg] *Website *www.gondabrain.biu.ac.il *| Facebook *gonda.brain -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.jpeg Type: image/jpeg Size: 92984 bytes Desc: not available URL: From max.garagnani at gmail.com Mon Sep 13 10:09:00 2021 From: max.garagnani at gmail.com (Max Garagnani) Date: Mon, 13 Sep 2021 15:09:00 +0100 Subject: Connectionists: Lecturer in Computational Neuroscience required Message-ID: <68FB3E22-175A-4DEB-AF1C-E4B802724D67@campus.goldsmiths.ac.uk> Dear Colleagues, I would be grateful if you could forward the following announcement to anyone who may be interested. Kind regards, Max ------------------ Part Time Associate Lecturer required Department of Computing Spring Term - to teach Cortical Modelling module Part time hours equivalent to 0.05 FTE, Salary GR7, SP32 pro-rata or ?25.67 per hour. CORTICAL MODELLING This module provides a theoretical and practical introduction to computational neuroscience. As a core component of the MSc in Computational Cognitive Neuroscience (see https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/), it covers the ?lower-level? aspects of brain modelling, focussing on single neurons and simple cortical circuits, including (but not limited to): neurobiology of the neuron (basic synaptic mechanisms, channel conductance, membrane potential), generation and propagation of action potential (Hodgkin-Huxley, compartmental models), leaky integrate-and-fire (LIF) neurons, random and feed-forward networks, competitive (Kohonen) and point-attractor networks. The course is delivered by means of ten lectures along with ten practical sessions (labs / workshops), each two hours long. The practical sessions typically involve implementing models of single neurons and small networks of neurons using MATLAB. Students who successfully complete this module should be able to: (i) demonstrate knowledge and understanding of fundamental concepts of computational neuroscience; (ii) explain the main physical characteristics of biological neurons (synaptic mechanisms and membrane potential, action potential generation and propagation) and how they can be modelled; (iii) Implement simple (one or two compartments) models of LIF neurons; (iv) build computational models of small cortical circuits as simple networks of learning neurons. To apply, please send a CV and covering letter to Catherine Edlin Bellamy, c.bellamy at gold.ac.uk and Dr. Max Garagnani, m.garagnani at gold.ac.uk Catherine Edlin Bellamy / Inga Tillere Department Business Manager (job share) Department of Computing Goldsmiths, University of London www.gold.ac.uk/computing Subscribe to our blog | Follow us on Twitter ------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Mon Sep 13 10:45:44 2021 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Mon, 13 Sep 2021 10:45:44 -0400 Subject: Connectionists: SECOND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 17TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST In-Reply-To: <00cc01d7a8ad$d55253f0$7ff6fbd0$@neuralcorrelate.com> References: <00bd01d7a8ad$c4ba9610$4e2fc230$@neuralcorrelate.com> <00cc01d7a8ad$d55253f0$7ff6fbd0$@neuralcorrelate.com> Message-ID: <010801d7a8ae$08676a50$19363ef0$@neuralcorrelate.com> ****SECOND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 17TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST**** http://illusionoftheyear.com We are happy to announce the 17th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube or mp4 videos featuring novel illusions (unpublished or published no earlier than 2020) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. Novel variants of known illusions are welcome. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2021 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until September 27th, 2021. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Sep 13 11:49:15 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 13 Sep 2021 11:49:15 -0400 Subject: Connectionists: ISWC 2021 - Registration is Open! In-Reply-To: References: Message-ID: *20th International Semantic Web Conference (ISWC 2021)* Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org *Registration* The Registration for ISWC 2021 is now open! Register with Early registration rate by October 15 at: https://iswc2021.semanticweb.org/attending *Accepted Papers* The accepted papers for the Research, Resource, In-Use, and Industry tracks are listed at: https://iswc2021.semanticweb.org/accepted-papers *Invited Speakers* - Abraham Bernstein, University of Z?rich - Yoelle Maarek, Amazon - Julia Stoyanovich, New York University Details about the ISWC 2021 speakers can be found at: https://iswc2021.semanticweb.org/keynote-speakers Follow ISWC 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 The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Mon Sep 13 17:22:44 2021 From: antona at alleninstitute.org (Anton Arkhipov) Date: Mon, 13 Sep 2021 21:22:44 +0000 Subject: Connectionists: Online workshop "Towards multipurpose neural network models II: Model testing and model fitting" Message-ID: Dear Colleagues, Registration is now open for the online workshop "Towards multipurpose neural network models II: Model testing and model fitting" organized by Gaute Einevoll (NMBU/University of Oslo) and Anton Arkhipov (Allen Institute, Seattle) and supported by the European Institute for Theoretical Neuroscience (EITN). Please join us for three days of talks about cutting-edge science by fantastic speakers, as well as panel discussions. Dates: September 29 ? October 1, 2021 Time: 8AM ? 12:15PM US Pacific time / 5PM ? 9:15PM Central European Time Daily. Registration: https://cnrs.zoom.us/webinar/register/WN_saMXfg31Roe4tqHbWtTdFg Please see the agenda below and more details at this web page. We hope to see you there! Wednesday, September 29, 2021 Gaute Einevoll (NMBU/U. Oslo) Introduction Jacob Macke (U. T?bingen) Keynote. Simulation-based inference: Bridging the gap between mechanistic models and machine learning. Aaron Milstein (Rutgers U.) Nested parallel simulation and multi-objective optimization of neuronal cell and circuit models Atle Rimehaug (U. Oslo) Enhancing model constraints by utilizing current source densities Kristin T?ndel (NMBU) Facilitating optimization using metamodelling Frances Skinner (Krembil Brain Institute, University Health Network, and University of Toronto) Clarity in model development and goals leads to model linkages and biological insights Panel debate ? All participants of the day. Thursday, September 30, 2021 Anton Arkhipov (Allen Institute) Introduction James DiCarlo (MIT) Keynote. Reverse Engineering Visual Intelligence Sharon Crook (Arizona State U.) Testing the Data-driven Model Szabolcs Kali (Institute of Experimental Medicine, Budapest, Hungary) Systematic construction and evaluation of models of rodent hippocampal neurons Peter Jedlicka (U. Giessen) Building consistent and robust models of hippocampal granule cells and CA1 pyramidal cells Stefan Mihalas (Allen Institute) Computing with a mess: How nonstationary, heterogeneous and noisy components help the brain?s computational power Panel debate ? All participants of the day. Friday, October 1, 2021 Markus Covert (Stanford) Special lecture. Simultaneous cross-evaluation of heterogeneous E. coli datasets via mechanistic simulation Kanaka Rajan (Mount Sinai) Keynote. Data-constrained neural network models of adaptive learning in the brain Julijana Gjorgjeva (Max Planck Institute and TUM) Biologically plausible learning in developing networks Carsen Stringer (Janelia) Rastermap: Extracting structure from high-dimensional neural data Arvind Kumar (KTH Stockholm) Structure and activity dynamics relationship in biological neuronal networks: Measurements and models Panel debate ? All participants of the day. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona at alleninstitute.org [Text Description automatically generated] alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 26603 bytes Desc: image001.png URL: From antonio.miranda at bsc.es Tue Sep 14 04:26:35 2021 From: antonio.miranda at bsc.es (Antonio Miranda) Date: Tue, 14 Sep 2021 10:26:35 +0200 Subject: Connectionists: Workshop: IberHeLT: IBERIAN HEALTH AND FOOD LANGUAGE TECHNOLOGIES Message-ID: [image: image.gif]Greetings, We invite you to attend the IBERIAN HEALTH AND FOOD LANGUAGE TECHNOLOGIES ( IberHeLT ) workshop, held in conjunction with the XXXVII International Conference of the Spanish Society for Natural Language Processing, *on September 21st*. There is a pressing need to generate more efficient access to food and nutrition-related information applied to health-related content through text mining and natural language processing technologies. NLP technologies can be highly relevant for automatic extraction of key concepts and entity types of relevance for health and clinical food language technology applications such as food safety (food poisoning, contamination, allergies, food-intolerance, food-drug interactions, food-borne diseases, and patient dietary records). Most of the current resources and research in clinical and biomedical NLP and text mining is still done mostly on data in English. And adapting and applying such tools to food and healthcare data in Spanish and other languages like Portuguese or Catalan is not straightforward. The objective of IberHeLT is to foster research both at the theoretical and at the level of practical, real-world applications of food and health-related NLP technologies applied to a diversity of textual data types and languages. As well as to cover contributions from industry and companies working on food and healthcare textual data. *Webpage: *https://sites.google.com/campus.ul.pt/iberhelt2021/home *Workshop organizers:* - Martin Krallinger, Text Mining unit at the Barcelona Supercomputing Center (BSC), Spain - Jocelyn Dunstan, Center for Mathematical Modeling, Faculty of Physical and Mathematical Sciences, University of Chile - Francisco M. Couto, LASIGE, Departamento de Inform?tica, Faculdade de Ci?ncias, Universidade de Lisboa, Portugal *Date: *September, 21st *Registration: *https://form.jotform.com/cedi2020/inscripcioncedi The registration form is in Spanish, but the workshop is completely in English! See more registration information in the attachments. *FONA corpus: *https://doi.org/10.5281/zenodo.5500308 *Schedule: * *All times are in the **CEST timezone* *9/21/2021 10:00 10:30 SEPLN (IberHeLT)*Welcoming to the Iberian Health and Food Language Technologies and BSC/Plan TL resources Martin Krallinger - Barcelona Supercomputing Center (BSC) *9/21/2021 10:30 11:00 SEPLN (IberHeLT)* Mining the Sociome for Insights on Chronic Conditions and Healthy Lifestyles An?lia Louren?o - Universidade de Vigo, Spain *9/21/2021 11:00 11:30 SEPLN (IberHeLT)*Food Nutrition and Security Cloud: A case usage of NLP technologies to extract food?drug interactions from scientific and clinical texts. Enrique Carrillo de Santa Pau - IMDEA Food Institute, Madrid. Spain *9/21/2021 11:30 12:00 SEPLN (IberHeLT)*Use of NLP and Text Mining for health, nutrition, and food: Plan TL/BSC resources, components, corpora and use cases Antonio Miranda/Eulalia Farre - Barcelona Supercomputing Center (BSC) *9/21/2021 12:00 12:30 SEPLN (IberHeLT) coffee break* *9/21/2021 12:30 13:30 SEPLN (IberHeLT)*Food Information Extraction and Normalization: the Past, the Present, and the Future Tome Eftimov, Gjorgjina Cenikj - Jo?ef Stefan Institute, Ljubljana, Slovenia *9/21/2021 13:30 14:00 SEPLN (IberHeLT)*Text mining as a way to select microbial strains to ferment new food products Claire N?dellec - University Paris-Saclay, INRAE *9/21/2021 14:00 14:15 SEPLN (IberHeLT)* EFSA's initiative for exchanging content and news on Data Science for Food Safety Risk Assessment Carsten Behring - European Food Safety Authority *9/21/2021 14:15 14:30 SEPLN (IberHeLT) Final Wrap-up session* Martin Krallinger - Barcelona Supercomputing Center (BSC) Looking forward to seeing you at IberHeLT! -- *Antonio Miranda* Biomedical Engineer at Barcelona Supercomputing Center *Phone: 0034 649227310* *Location: Madrid**, Spain* -------------- next part -------------- An HTML attachment was scrubbed... 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Name: IBERIAN HEALTH AND FOOD LANGUAGE TECHNOLOGIES - Schedule.pdf Type: application/pdf Size: 382624 bytes Desc: not available URL: From emmanuel.vincent at inria.fr Tue Sep 14 05:24:52 2021 From: emmanuel.vincent at inria.fr (Emmanuel Vincent) Date: Tue, 14 Sep 2021 11:24:52 +0200 Subject: Connectionists: Research assistant position on private machine learning for speech processing Message-ID: <03ef7e55-ec60-92d4-03d8-b31b146c1fd6@inria.fr> Dear list, Inria is opening a fixed-term research assistant position on private machine learning for speech processing as part of the French national collaborative project ANR DEEP-PRIVACY. The successful candidate will be part of the Magnet team in Lille, which focuses on privacy-friendly, decentralized and/or graph-based machine learning. He/she will work in tight collaboration with the Multispeech team in Nancy, which focuses on automatic speech recognition and speech synthesis. The goal of DEEP-PRIVACY is to learn automatic speech recognition (ASR) systems from speech representations that hide speaker identity. Additional requirements such as decentralized learning, gender fairness, or data efficiency may be considered. Depending on her/his profile, the candidate will address the following research questions: - how to design privacy attacks on ASR and design counter-measures; - how to learn private representations of speech from adversarial training with many attackers; - how to design fair and private speech representations; - how to adapt such methods in the decentralized setting (e.g. federated or fully decentralized learning); - how to formally define and measure the trade-off between accuracy, fairness, or privacy at the global and individual levels. Application deadline: applications will be assessed on a rolling basis; please apply as soon as possible. Starting date: November 1, 2021 or later Duration: 1.5 year (renewable) Location: Lille, France Salary: from 2,050 to 2,130 net/month, according to experience For more details and to apply: https://jobs.inria.fr/public/classic/en/offres/2021-04039 (for MSc graduates) https://jobs.inria.fr/public/classic/en/offres/2021-04034 (for PhD graduates) Emmanuel -- Emmanuel Vincent Senior Research Scientist & Deputy Head of Science Inria Nancy - Grand Est 615 rue du Jardin Botanique, 54600 Villers-l?s-Nancy, France Phone: +33 3 8359 3083 - Fax: +33 3 8327 8319 Web: http://members.loria.fr/evincent/ Coordinator of H2020 COMPRISE Cost-effective, Multilingual, Privacy-driven voice-enabled Services https://www.compriseh2020.eu/ From boubchir at ai.univ-paris8.fr Tue Sep 14 05:22:15 2021 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 14 Sep 2021 11:22:15 +0200 Subject: Connectionists: [CfP] The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP) In-Reply-To: References: Message-ID: <2175992d-5038-e1ca-6b4c-9f802f2481f6@ai.univ-paris8.fr> *CALL FOR PAPERS* The 2^nd international workshop on Machine Learning for EEG Signal Processing (MLESP 2021, https://mlesp2021.sciencesconf.org/) will be held online, from 9 to 12 december 2021, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021, https://ieeebibm.org/BIBM2021/) *Overview* EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought an impressive progress to solve several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss the recent advances. The topics of interest include but not limited to: - EEG signal processing and analysis - Time-frequency EEG signal analysis - Signal processing for EEG Data - EEG feature extraction and selection - Machine learning for EEG signal processing - EEG classification and Hierarchical clustering - EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.) - Machine learning in EEG Big Data - Deep Learning for EEG Big Data - Neural Rehabilitation Engineering - Brain-Computer Interface - Neurofeedback - EEG-based Biometrics - Related applications Important Dates Oct. 25, 2021 (11:59 pm CST): Due date for full workshop papers submission Nov. 5, 2021: Notification of paper acceptance to authors Nov. 15, 2021: Camera-ready of accepted papers Dec 3-6, 2021: Workshops Paper Submission - Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system. You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html - Electronic submissions in PDF format are required. Online Submission https://wi-lab.com/cyberchair/2021/bibm21/index.php Publication All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library. Journal Special Issue Selected high-quality papers will be invited for publication in a special issue in highly respected journal. *Contact* Prof. Larbi Boubchir /(//Workshop Chair/),University of Paris 8, France E-mail: larbi.boubchir at univ-paris8.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Tue Sep 14 08:51:31 2021 From: junfeng989 at gmail.com (Jun Feng) Date: Tue, 14 Sep 2021 20:51:31 +0800 Subject: Connectionists: [Last Call] [**10+ Journal Special Issues**] CFP CFP IEEE DependSys 2021: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= CFP IEEE DependSys 2021 The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications Dec. 17-19, Haikou, China [Submission Deadline: Sep. 15][10+ Journal Special Issues] http://www.ieee-cybermatics.org/2021/dependsys/ IEEE DependSys 2021 conference is the 7th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2021 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 10+ SCI & EI indexed prestigious journals (confirmed). 1. IEEE Transactions on Intelligent Transportation Systems SI on Graph-based Machine Learning for Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_db671bf4e4eb4a41ac1cf6da14a77750.pdf 2. IEEE Transactions on Intelligent Transportation Systems SI on Data Science for Cooperative Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_de7a6f420a2b4c6d894e4de63e495624.pdf 3. IEEE Transactions on Network Science and Engineering SI on The Nexus Between Edge Computing and AI for 6G Networks https://www.comsoc.org/publications/journals/ieee-tnse/cfp/nexus-between-edge-computing-and-ai-6g-networks 3. IEEE/ACM Transactions on Computational Biology and Bioinformatics SI: Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare https://www.computer.org/digital-library/journals/tb/call-for-papers-special-issue-on-deep-learning-empowered-big-data-analytics-in-biomedical-applications-and-digital-healthcare 5. Security and Communication Networks SI on Protocols, Technologies, and Infrastructures for Secure Mobile Video Communications https://www.hindawi.com/journals/scn/si/926306/ 6. MDPI Sensors SI on Recent Advances in Algorithm and Distributed Computing for the Internet of Things https://www.mdpi.com/journal/sensors/special_issues/Algorithm_Distributed_Computing_IOT 7. International Journal of Distributed Sensor Networks SI: Privacy-Preserving Solutions in the Internet of Things https://journals.sagepub.com/page/dsn/collections/special-issues/privacy-preserving-solutions-in-the-internet-of-things 8. IET Communications SI on Intelligent Metasurfaces for Smart Connectivity https://digital-library.theiet.org/files/IET_COM_CFP_IMSC.pdf 9. Building and Environment SI: AI and IoT Applications of Smart Buildings and Smart Environment Design, Construction and Maintenance https://www.journals.elsevier.com/building-and-environment/call-for-papers/ai-and-iot-applications-of-smart-buildings-and-smart-environment-design-construction-and-maintenance 10. Journal of Systems Architecture SI: Cloud-Edge-End Architecture for Internet of Things Applications https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/special-issue-on-cloud-edge-end-architecture-for-internet-of-things-applications-vsi-cloud-edge-end-iot 11. Information SI: "Crossing ?Data, Information, Knowledge, and Wisdom? Models?Challenges, Solutions, and Recommendations" https://www.mdpi.com/journal/information/special_issues/DIKW_RA_2021 * More special issues will be added later. http://www.ieee-cybermatics.org/2021/dependsys/special.html ================== Important Dates ================== Paper Submission Deadline: 15 September, 2021 Authors Notification: 15 October, 2021 Final Manuscript Due: 15 November, 2021 Conference Date: 17-19 December, 2021 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N28864) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Stephen S. Yau, Arizona State University, USA - Zheng Yan, Xidian University, China and Aalto University, Finland - Willy Susilo, University of Wollongong, Australia Program Chairs - Bin Song, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Tue Sep 14 10:16:58 2021 From: evomusart at gmail.com (Tiago Martins) Date: Tue, 14 Sep 2021 16:16:58 +0200 Subject: Connectionists: Call for Papers - EvoMUSART 2022 (20-22 April 2022) Message-ID: ------------------------------------------------ Call for papers for the 11th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) ? Please distribute ? Apologies for cross-posting ------------------------------------------------ The 11th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place on 20-22 April 2022, as part of the evo* event. EvoMUSART webpage: www.evostar.org/2022/evomusart/ Submission deadline: 1 November 2021 Conference: 20-22 April 2022 EvoMUSART is a multidisciplinary conference that brings together researchers who are working on the application of Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Cellular Automata, Alife, and other Artificial Intelligence techniques in creative and artist fields such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. This conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Submissions must be at most 16 pages long, in Springer LNCS format. Each submission must be anonymised for a double-blind review process. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Nature in a dedicated volume of the Lecture Notes in Computer Science series. In addition, an agreement has been reached with Entropy journal (IF 2.524; JCR Q2; ISSN 1099-4300) whereby it will publish a special issue of EvoMUSART every year. Entropy journal has already published the special issues entitled ?Artificial Intelligence and Complexity in Art, Music, Games and Design? for EvoMUSART 2020 (Volume 1) and 2021 (Volume 2). All papers accepted in EvoMUSART 2022 will be encouraged to submit to a new special issue of Entropy. Indicative topics include but are not limited to: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and/or functional criteria; * Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic objects; * Systems in which artificial intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART: www.evostar.org/2022/evomusart/ Flyer of EvoMUSART 2022: http://www.evostar.org/2022/flyers/evomusart Papers published in EvoMUSART: https://evomusart-index.dei.uc.pt We look forward to seeing you in EvoMUSART 2022! The EvoMUSART 2022 organisers Tiago Martins Nereida Rodr?guez-Fernandez S?rgio Rebelo (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From luisgascosanchez at gmail.com Tue Sep 14 15:21:21 2021 From: luisgascosanchez at gmail.com (Luis Gasco Sanchez) Date: Tue, 14 Sep 2021 21:21:21 +0200 Subject: Connectionists: Invitation to attend the BioASQ Workshop at CLEF2021 - the conference is free of charge. Message-ID: [image: image.gif] Dear Colleague, We invite you to attend the presentation of the results of the 9th BioASQ Workshop, which will be presented as part of the Conference and Labs of The Evaluation Forum (CLEF2021) on 22-23 September. Due to COVID-19 circumstances, CLEF 2021 will be an online event broadcast from the "Politehnica" University of Bucharest, Romania, from 21-24 September 2021. The event will be completely free of charge, so we invite you to register at the link and attend to see both the evaluation of these shared-tasks and the solutions of the participating teams. This year, in addition to the participants' talks, we will have Dina Demner-Fushman, MD, PhD, as a keynote speaker, who will give an interesting talk on "Challenges in answering COVID-19 pandemic questions" . Please find below some additional info. about BioASQ: - BioASQ Program: http://bioasq.org/workshop9/program - CLEF Registration Link: https://forms.gle/bfcPqhaNDhnA1NiU8 - CLEF 2021 Working Notes: http://ceur-ws.org/Vol-2936/ - MESINESP website: https://temu.bsc.es/mesinesp2/ About BioASQ BioASQ pushes for a solution to the information access problem of biomedical experts by setting up a challenge on biomedical semantic indexing and question answering (QA). In the 2021 edition, 4 tasks have been scheduled: - Task Synergy On Biomedical Semantic QA For COVID-19 - Task A on Large-Scale Online Biomedical Semantic Indexing - Task B on Biomedical Semantic QA - Task MESINESP on Medical Semantic Indexing in Spanish A total of 52 participating teams have been involved in the tasks, generating more than 175 different systems and publishing 18 papers in the congress proceedings. Overview, Invited speaker and Panel Discussion Schedule: All times are in the CEST timezone: 9/22/2021 10:30-10:35 Welcome 9/22/2021 10:35-10:45 Overview of BioASQ Tasks 9a, 9b and Synergy in CLEF2021 Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou, Anastasia Krithara and Georgios Paliouras 9/22/2021 10:45-10:55 Overview of BioASQ 2021-MESINESP track. Evaluation of advance hierarchical classification techniques for scientific literature, patents and clinical trials. Luis Gasco, Anastasios Nentidis, Anastasia Krithara, Darryl Estrada-Zavala, Renato Toshiyuki Murasaki, Elena Primo-Pe?a, Cristina Bojo-Canales, Georgios Paliouras and Martin Krallinger 9/22/2021 14:55-16:00 Invited Talk: "Challenges in answering COVID-19 pandemic questions" Dina Demner-Fushman, Lister Hill National Center for Biomedical Communications, NLM, USA 9/22/2021 16:30-17:20 Panel Discussion 9/23/202 11:48-12:00 Award ANnouncements Organizers The BioASQ challenge is organized by Georgios Paliouras, Anastasia Krithara and Anastasios Nentidis from NCSR ?Demokritos? (Greece). The Task MESINESP is co-organized by Martin Krallinger and Luis Gasco, from Barcelona Supercomputing Center (Spain). Sponsors Google was a proud sponsor of the BioASQ Challenge in 2020. The ninth edition of BioASQ is also sponsored by the Atypon Systems inc. The MESINESP task is sponsored by the Plan de Impulso de las Tecnolog?as del Lenguaje (Plan TL) (SEDIA) Looking forward to seeing you at CLEF2021! [image: Mailtrack] Remitente notificado con Mailtrack 14/09/21 21:20:23 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.gif Type: image/gif Size: 42 bytes Desc: not available URL: From davy.weissenbacher at gmail.com Tue Sep 14 13:53:06 2021 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Tue, 14 Sep 2021 13:53:06 -0400 Subject: Connectionists: CfP: BioCreative VII Challenge and Workshop Message-ID: *[Apologies for cross-posting] BioCreative VII Challenge and Workshop Call for Participation We invite you to attend the BioCreative VII workshop, to be held online November 8-10, 2021. Program highlights: - Keynote: Dr. Joshua Denny , Chief Executive Officer of the All of Us Research Program at NIH - Presentations from participants in the BioCreative VII Challenge tracks: - NLM-Chem Track: Full-text Chemical Identification and Indexing in PubMed articles - Automatic extraction of medication names in tweets - DrugProt: Text mining drug/chemical-protein interactions - LitCovid track Multi-label topic classification for COVID-19 literature annotation - COVID-19 text mining tool interactive demo - Panel: Mining adverse drug reactions - Poster session, with selected posters presented as flash talks. The workshop will be held over Zoom from 2:30 pm to 6:15 pm UTC each day (9:30 am - 1:15 pm EST; change time zone ). Registration is free and will remain open until November 5, or until capacity is reached. We invite the larger community to submit posters on topics related to the BioCreative VII Challenge tasks. Accepted posters will be presented as short, pre-recorded videos in a YouTube channel, with selected posters also presented as flash talks at the workshop. The BioCreative VII Workshop Information page contains instructions for submitting a poster abstract. We look forward to seeing you at the workshop!* -------------- next part -------------- An HTML attachment was scrubbed... URL: From tiako at ieee.org Tue Sep 14 11:56:42 2021 From: tiako at ieee.org (Pierre F. Tiako) Date: Tue, 14 Sep 2021 10:56:42 -0500 Subject: Connectionists: (CFP)SCOPUS/WoS Indexed 2021 Intl Conf on Data Technology and Engineering|| OKCity, USA|| Nov 15-18, 2021 Message-ID: [Apologies if you receive multiple copies. Deadline Extended] =========================================== --- Call for Abstracts and Papers ------------- 2021 OkIP International Conference on Data Technology and Engineering (CDTE) MNTC Conference Center, Oklahoma City, OK, USA & Online November 15-18, 2021 https://eventutor.com/e/CDTE001 >> Co-located Conferences and Events https://eventutor.com/event/4/page/4-conferences >> Keynotes/Invited Talks "Blockchain Technology and its implications in Business Applications and Healthcare IT" - Akhil Kumar, PhD, Penn State University, USA ?Machine Learning for Critical Systems Security? - Nancy R. Mead, PhD, Carnegie Mellon University, USA ?Sustainable Energy Harvesting and Wireless Power Transfer Systems? - Manos M. Tentzeris, PhD, Georgia Institute of Technology, USA >> Technical Research & Industry Tracks - Data Concepts - Data Analytics and Processing - Databases - AI in Data and Big Data - Data and Databases Applications - Data and Legal Issues >> Contribution Types Published by OkIP - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Poster/Journal First: Displayed/Oral presented (1 page) >> Important Dates (Extended): - Submission: Oct 16, 2021 - Notification: Oct 23, 2021 - Conference: Nov 15-18, 2021 >> Technical Program Committee https://eventutor.com/event/8/page/16-committee >> Venue https://eventutor.com/event/4/page/9-venue >> For more information, submission details, and important dates visit: https://eventutor.com/e/CDTE001 Please feel free to contact us for any inquiry at: info at okipublishing.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From ssliu at coe.neu.edu Tue Sep 14 16:16:39 2021 From: ssliu at coe.neu.edu (Shanshan Liu) Date: Tue, 14 Sep 2021 20:16:39 +0000 Subject: Connectionists: [IEEE TETC Special Section] Call for Papers: Emerging Techniques for Trusted and Reliable Machine Learning In-Reply-To: <20210517152127.Horde.HvKDaykr-4EJvdm_gj1wEQ1@webmail.coe.neu.edu> Message-ID: <20210914201639.Horde.lUG0CiRXC0FqD3qZ-BlwAA1@webmail.coe.neu.edu> Dear Colleagues, ? This is just a friendly reminder. The deadline of submission (October 15th) for TETC Special Issue?on??TO BE SAFE AND DEPENDABLE IN THE ERA OF ARTIFICIAL INTELLIGENCE: EMERGING TECHNIQUES FOR TRUSTED AND RELIABLE MACHINE LEARNING?[1]?is approaching in one month. ? We sincerely appreciate your support and look forward to your submission(s). ? Best regards, The Guest Editors Quoting Shanshan Liu : > Dear Colleague, > > ? > IEEE Transactions on Emerging Topics in Computing (/TETC/) seeks > submissions for the upcoming special section on??TO BE SAFE AND > DEPENDABLE IN THE ERA OF ARTIFICIAL INTELLIGENCE: EMERGING TECHNIQUES > FOR TRUSTED AND RELIABLE MACHINE LEARNING?[1].? > ? > During the last decade, advances in areas such as convolutional neural > networks, deep learning, and hardware accelerators have enabled the > widespread and ubiquitous adoption of machine learning (ML) in > real-world systems. This trend is expected to continue and expand in the > coming years, leading to a world that depends heavily on ML-based > systems. > ? > To be safe and dependable in this new era of artificial intelligence, > these innovative systems have to be reliable and secure. This poses many > research challenges. For example, fault tolerance is commonly achieved > by redundant design, but the implementation of deep neural networks is > already challenging, so there is little room to add additional elements > for fault tolerance. Similarly, understanding the vulnerabilities of > advanced ML systems is a complex issue, as shown by recent attacks on > image classification implementations. Therefore, it is essential to > learn how to build ML systems that cannot be manipulated or corrupted by > malicious attackers and that can operate reliably when its underlying > hardware or software suffers from errors. > ? > This special section is devoted to: 1) recent advances in techniques, > algorithms, and implementations for error-tolerant ML systems and 2) > trust/reliable aspects of ML systems and algorithms, including > vulnerabilities, management, protection, and mitigation schemes. > Original papers with substantial technical contribution are solicited on > the following topics: > > > * Design and analysis of trusted/reliable ML algorithms and systems > * Innovative computational paradigms for ML, such as > approximate/stochastic computing > * Fault/error-tolerant ML systems and techniques > * Trust, dependability, reliability, and security in ML > implementations > * Adversarial and related techniques for ML systems and algorithms > * Techniques for trustworthy ML inclusive of detection, mitigation, > and defense > * Evaluation of ML for applications such as in safety-critical and > secure systems > ? > SCHEDULE > > > * DEADLINE FOR SUBMISSIONS: October 15, 2021 > * First decision (accept/reject/revise, tentative): January 15, 2022 > * Submission of revised papers: March 15, 2022 > * Notification of final decision (tentative): May 1, 2022 > * Journal publication (tentative): second half of 2022 > > SUBMISSION GUIDELINES > Submitted papers must include new significant research-based technical > contributions in the scope of the journal. Purely theoretical, > technological, or lacking methodological-and-generality papers are not > suitable for this special section. The submissions must include clear > evaluations of the proposed solutions (based on simulation and/or > implementation results) and comparison to state-of-the-art solutions. > Papers under review elsewhere are not acceptable for submission. > Extended versions of published conference papers (to be included as part > of the submission together with a summary of differences) are welcome > but there must have at least 40% of new impacting technical/scientific > material in the submitted journal version, and there should be less than > 50% verbatim similarity level as reported by a tool (such as CrossRef). > Guidelines concerning the submission process, LaTeX, and Word templates > can be found on?the Author Information page[2]. While submitting > through?ScholarOne[3], please select this special-section option. As > per?/TETC/?policies, only full-length papers (10-16 pages with technical > material, double column ? papers beyond 12 pages will be subject to > MOPC, as per CS policies -) can be submitted to special sections. The > bibliography should not exceed 45 items and each author?s bio should not > exceed 150 words. > > QUESTIONS? > Contact the guest editors at?ftsmltetcss at gmail.com[4]. > ? > GUEST EDITORS: > Shanshan Liu, Northeastern University, USA (IEEE Member) > Pedro Reviriego, Universidad Carlos III de Madrid, Spain (IEEE Senior > Member) > Fabrizio Lombardi, Northeastern University, USA (IEEE Fellow) > > CORRESPONDING?/TETC/?EDITOR: > Patrick Girard, LIRMM, France (IEEE Fellow) > > Further details > are?available?at?https://www.computer.org/digital-library/journals/ec/call-for-papers-special-section-on-to-be-safe-and-dependable-in-the-era-of-artificial-intelligence-emerging-techniques-for-trusted-and-reliable-machine-learning Links: ------ [1] http://www.computer.org/digital-library/journals/ec/call-for-papers-special-section-on-to-be-safe-and-dependable-in-the-era-of-artificial-intelligence-emerging-techniques-for-trusted-and-reliable-machine-learning [2] https://www.computer.org/csdl/journals/ec/write-for-us/15071?title=Author%20Information&periodical=IEEE%20Transactions%20on%20Emerging%20Topics%20in%20Computing [3] https://mc.manuscriptcentral.com/tetc-cs [4] -------------- next part -------------- An HTML attachment was scrubbed... URL: From dong at wi-lab.com Wed Sep 15 05:21:45 2021 From: dong at wi-lab.com (Juzhen Dong) Date: Wed, 15 Sep 2021 18:21:45 +0900 Subject: Connectionists: Call for Participation: Brain Informatics 2021 [Virtual Conference] Message-ID: <449c0ca5-98c1-9790-e38d-71ebffcf29ac@wi-lab.com> [Apologies if you receive this more than once] ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The 14th International Conference on Brain Informatics (BI'21) September 17-19, 2021 The conference will be held in Fully VIRTUAL mode Call for Participation * Conference Programme Available * https://bi2021.org/download/BI2021-Program_at_a_Glance.pdf Homepage:https://www.bi2021.org/ Innovative Computational Approaches for Understanding Brain Functions and Treat its Disorders ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The Brain Informatics (BI) conference series has established itself as the world's premier research forum on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field with joint efforts from neuroscience, cognitive science, medicine and life sciences, data science, artificial intelligence, neuroimaging technologies, and information and communication technologies. The 14th International Conference on Brain Informatics (BI2021) provides a virtual 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. *** Watch or Live Streaming Events (Free) *** Day 1 (17 September 2021): - Opening Ceremony Chair: Professor Ning Zhong, Maebashi Institute of Technology, Japan Link 1 (08:30-09:00 UK Time, GMT+01:00):https://youtu.be/MFS87Bea0s0 Link 2 (15:30-16:00 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/TyY6pRVXdPYJ - Keynote Speech 1 Maurizio Corbetta Professor and Chair of Neurology in the Department of Neuroscience at the University of Padua, Founding Director of the Padua Neuroscience Center, Italy Title: Toward a Computational Model of Brains Affected by Stroke with an Eye to Their Repair Link 1 (09:00-10:00 UK Time, GMT+01:00):https://youtu.be/MFS87Bea0s0 Link 2 (16:00-17:00 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/TyY6pRVXdPYJ - Keynote Speech 2 Stafano Panzeri Endowed Full Professor, Department of Neural Information Processing (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Germany Title: Inferring Neural Circuit Interactions and Neuromodulation from Field Potentials and Electroencephalogram Measures Link 1 (10:00-11:00 UK Time, GMT+01:00):https://youtu.be/MFS87Bea0s0 Link 2 (17:00-18:00 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/TyY6pRVXdPYJ - Keynote Speech 3 Wulfram Gerstner Professor, Computational Neuroscience Laboratory, Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland Title: Neo-Hebbian Three-Factor Rules of Synaptic Plasticity: From Reward to Surprise Link 1 (11:30-12:30 UK Time, GMT+01:00):https://youtu.be/MFS87Bea0s0 Link 2 (18:30-19:30 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/TyY6pRVXdPYJ - Keynote Speech 4 Tianzi Jiang Professor and Director, Brainnetome Center, Institute of Automation, The Chinese Academy of Sciences, China Title: Tackle Grand Challenges in Brain Health with Artificial Intelligence Link 1 (12:30-13:30 UK Time, GMT+01:00):https://youtu.be/MFS87Bea0s0 Link 2 (19:30-20:30 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/TyY6pRVXdPYJ Day 2 (18 September 2021): - Keynote Speech 5 Nikola Kasabov Professor of Knowledge Engineering, Auckland University of Technology, New Zealand, George Moore Chair/Professor, University of Ulster, UK Title: Brain-Inspired Brain Informatics: Methods, Systems, Applications Link 1 (09:00-10:00 UK Time, GMT+01:00):https://youtu.be/emmqdepOHcM Link 2 (16:00-17:00 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/TqQccipWJlPJ - Keynote Speech 6 Xinguang Yu Professor, Chinese PLA General Hospital and Nankai University School of Medicine, Director of Institute of Neurosurgery in Chinese PLA General Hospital, China Title: Quantitative Assessment Essential Tremor Based on Machine Learning Methods Using Wearable Device Link 1 (10:00-11:00 UK Time, GMT+01:00):https://youtu.be/emmqdepOHcM Link 2 (17:00-18:00 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/TqQccipWJlPJ - Keynote Speech 7 Simon B. Eickhoff Director, Institute of Systems Neuroscience Heinrich Heine University D?sseldorf, Germany Title: From Areas and Networks to Individual Predictions Link 1 (11:30-12:30 UK Time, GMT+01:00):https://youtu.be/emmqdepOHcM Link 2 (18:30-19:30 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/TqQccipWJlPJ - Keynote Speech 8 Partha P. Mitra Crick-Clay Professor, Biomathematics at Cold Spring Harbor Laboratory, USA, Prof. H.N. Mahabala Distinguished Chair in Computational Brain Research at IIT Madras, India Title: Mapping and Analyzing the Circuit Architecture of Mammalian Brains at the Mesoscopic Scale Link 1 (12:30-13:30 UK Time, GMT+01:00):https://youtu.be/emmqdepOHcM Link 2 (19:30-20:30 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/TqQccipWJlPJ Day 3 (19 September 2021): - Closing Ceremony + Awards + Next BI 2022 Announcement Chair: Professor Ning Zhong, Maebashi Institute of Technology, Japan Link 1 (11:30-12:00 UK Time, GMT+01:00):https://youtu.be/6fno1NYlXas Link 2 (18:30-19:00 Beijing Time, GMT+08:00):https://meeting.tencent.com/l/gnArvWZrAqlG *** Parallel Sessions and Workshops/Special-Sessions *** Thanks to the conference sponsors, the conference organizers can offer some complimentary registrations to the academic attendees who would need them. The link for the application is:https://bi2021.org/register/index.php and the deadline is 16 September 2021. *** Workshops & Special Sessions *** Day 1 (17 September 2021): 14:00-16:00 UK Time, GMT+01:00 21:00-23:00 Beijing Time, GMT+08:00 WS10: International Workshop on Application of AI Driven Tools Towards Inclusive and Personalised Education for Students with Learning Disabilities (AI-TOP) https://bi2021.org/workshop-special-session/WS10-AI-TOP-Brown.pdf Organizers: David J Brown, Department of Computer Science, Nottingham Trent University, UK Mufti Mahmud, Department of Computer Science, Nottingham Trent University, UK M Shamim Kaiser, Institute of Information Technology, Jahangirnagar University, Bangladesh Karel Van Isacker, PhoenixKM BV, Kortemark, Belgium. WS04: International Workshop on Cutting Edge Technologies for Human-Computer Interaction https://www.comp.hkbu.edu.hk/~csyxli/CET-HCI2021/ Organizers: Paolo Mengoni, Hong Kong Baptist University, Hong Kong, China Kristen Li, Hong Kong Baptist University, Hong Kong, China Sanghyuk Lee, Xi?an Jiaotong-Liverpool University, China Haolan Zhang, Zhejiang University, China WS05: The 2nd International Workshop on Computational Neuroaesthetics (IWCN 2021) https://bi2021.org/workshop-special-session/WS05-WCN2021-Zhang.pdf Organizer: Junsong Zhang, Xiamen University, China WS06: International Workshop on Computational Intelligence in Healthcare (IWCIH 2021) https://bi2021.org/workshop-special-session/WS06-CIH2021-Chen.pdf Organizers: Tianhua Chen, University of Huddersfield, UK Pan Su, North China Electric Power University, China Archie Khuman, De Montfort University, UK Lu Chen, Shanxi University, China WS09: International Workshop on Internet Adaption and Mental Health (IAMH 2021) https://bi2021.org/workshop-special-session/WS09-IAMH2021-Jin.pdf Organizers: Cacan Jin, Department of Psychology, Beijing Forestry University, China Xiuya Lei, Department of Psychology, Beijing Forestry University, China Yang Yang, Department of Psychology, Beijing Forestry University, China Zelong Meng, Department of Psychology, Beijing Forestry University, China SS02: Special Session on Imaging the Young Minds (IYM) https://bi2021.org/workshop-special-session/SS02-IYM-Yang.pdf Organizers: Zhi Yang, Shanghai Jiao Tong University School of Medicine, China Shaozheng Qin, Beijing Normal University, China SS03: Special Session on New Methods and Technology in the Brain Imaging (NMTBI) https://bi2021.org/workshop-special-session/SS03-NMTBI-Hu.pdf Organizer: Zhenghui Hu, College of Science, Zhejiang University of Technology, China Day 2 (18 September 2021): 14:00-16:00 UK Time, GMT+01:00 21:00-23:00 Beijing Time, GMT+08:00 WS11: The 2021 Workshop on Web Intelligence meets Brain Informatics (WImBI) https://bi2021.org/workshop-special-session/WS11-WImBI21-Chen.pdf Organizers: Jianhui Chen, International WIC Institute, Faculty of Information Technology, Beijing University of Technology, China Jiajin Huang, International WIC Institute, Faculty of Information Technology, Beijing University of Technology, China WS02: The 3rd International Workshop on Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data (CIMPANBD) https://bi2021.org/workshop-special-session/WS02-CIMPANBD2021-Mahmud.pdf Organizers: Mufti Mahmud, Nottingham Trent University, UK M Shamim Kaiser, Jahangirnagar University, Bangladesh WS07: The 2nd International Workshop on Computational Brain Image Analysis and Genomics (CBIAG 2021) https://bi2021.org/workshop-special-session/WS07-CBIAG2021-Zhao.pdf Organizers: Shijie Zhao, Northwestern Polytechnical University, China Tuo Zhang, Northwestern Polytechnical University, China Lei Du, Northwestern Polytechnical University, China Xintao Hu, Northwestern Polytechnical University, China WS08: The 5th International Workshop on Emotion Recognition (EMORE 2021) https://bi2021.org/workshop-special-session/EMORE_CFP.htm Organizers: Valentina Franzoni, Perugia University, Italy Alfredo Milani, Perugia University, Italy Giulio Biondi, Florence University, Italy SS01: Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB) https://bi2021.org/workshop-special-session/SS01-XAIB2021-Sarica.pdf Organizer: Alessia Sarica, Magna Graecia University of Catanzaro, Italy Day 3 (19 September 2021) 01:30-04:30 UK Time, GMT+01:00 08:30-11:30 Beijing Time, GMT+08:00 WS01: The 3rd International Workshop on Cognitive Neuroscience of Thinking and Reasoning (CNTR 2021) https://bi2021.org/workshop-special-session/WS01-CNTR2021-Liang.pdf Organizers: Peipeng Liang, Capital Normal University, China Antao Chen, Southwest University, China *** Parallel Sessions *** 09:00-11:30 UK Time, GMT+01:00 16:00-18:30 Beijing Time, GMT+08:00 Session 1: Cognitive and Computational Foundations of Brain Science Session 2: Human Information Processing Systems Session 3: Brain Big Data Analytics, Curation and Management Session 4: Informatics Paradigms for Brain and Mental Health Research Session 5: Brain-Machine Intelligence and Brain-Inspired Computing -------------- next part -------------- An HTML attachment was scrubbed... URL: From miguel-areias at dcc.fc.up.pt Wed Sep 15 05:48:57 2021 From: miguel-areias at dcc.fc.up.pt (Miguel Areias) Date: Wed, 15 Sep 2021 10:48:57 +0100 Subject: Connectionists: 2nd Call for Participation - LP/CP Programming Contest 2021 Message-ID: <263390af-1c87-c67a-e098-6b713aa29dc1@dcc.fc.up.pt> ========================================================================= ? ? ? ? ? ? ? ? ? ? ? ? ? 2nd CALL FOR PARTICIPATION ? ? ? ? ? ? ? ? ? ? ? ?LP/CP Programming Contest 2021 ========================================================================= The traditional LP/CP Programming Contest will be run in virtual mode during ICLP 2021. The contest will start on Friday 24 September at 12:00 (midday, UTC+1) and will last 24 hours. Don't miss this opportunity! Join the contest with your favorite declarative programming languages and systems. Show your skills in declarative problem solving. The contest is data agnostic. All problems use easy-to-parse input and output format. You can easily shape them for your preferred system by writing a script. Checkers will be provided to ease the identification of bugs thanks to textual representations of testcases and solutions. Details online: https://github.com/alviano/lpcp-contest-2021 ========================================================================= From contactnewinml at gmail.com Wed Sep 15 10:05:25 2021 From: contactnewinml at gmail.com (Contact NewInML) Date: Wed, 15 Sep 2021 16:05:25 +0200 Subject: Connectionists: Call For Paper - NewInML workshop NeurIPS 2021 Message-ID: Paper submission deadline: September 26, 2021 (Anywhere on Earth) Like previous editions, the goal of the NewInML workshop NeurIPS 2021 is to provide young researchers with the guidance they need to contribute to machine learning research fully and effectively. We are targeting anyone who has not published a paper at the NeurIPS main conference yet. We invited top researchers to review submitted work and share their experience. Accepted papers could expect further coaching and mentorship, submitted papers can then be revised and submitted to NeurIPS 2022 main conference. Submissions should respect the NeurIPS format and instructions: https://nips.cc/Conferences/2021/CallForPapers. Submissions are limited to 9 content pages, including all figures and tables; additional pages containing the NeurIPS paper checklist and references are allowed. Shorter papers with enough good contents are also welcome. Please check http://newinml.org/ for more details! You are welcome to forward this message to anyone (collaborators, friends, students, etc.) who might be interested! Thanks in advance! Sincerely, The NewInML Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Wed Sep 15 10:25:35 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Wed, 15 Sep 2021 22:25:35 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Registration Message-ID: <5a104387.2973f.17be9d94457.Coremail.jiangdm@nwpu.edu.cn> Registrations Open *************************************** ACM ICMI 2021: Registration https://icmi.acm.org/2021/index.php?id=registration 18-22 Oct 2021, Montreal, Canada *************************************** Good news! Canada is now open for all non-essential travel, see https://travel.gc.ca/travel-covid/travel-restrictions/wizard-start This is a reminder that the early registration closes in a week on Sep 20th. Please visit https://icmi.acm.org/2021/index.php?id=registration as soon as possible to register and help us confirm our in-person plans. We are looking forward to seeing everyone in Montreal this October for ICMI-2021! Venue: https://icmi.acm.org/2021/index.php?id=venue What to do in Montreal: https://www.mtl.org/en Note on registration: - A student registration covers one regular (long or short) paper, whereas a full (non-student) registration covers up to two regular (long or short) papers. - A student or full registration covers auxiliary papers (e.g., Doctoral Consortium, Late Breaking Work, Challenges, Workshop) - The Conference registration covers three main days of conference events (October 19 -21) and two days of co-located workshops, tutorials, challenges, and Doctoral Consortium (October 18 and 22). - The In-Person registration includes coffee breaks on all five days, lunch on the three main conference days, a reception on October 19, and the banquet on October 20. - A workshop-only registration covers only the workshop day. The 23rd ACM International Conference on Multimodal Interaction (ICMI 2021) will be held in Montreal, Canada October 18-22, 2021. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The main conference themes in 2021 will be behavioral health and virtual connectivity, but other major topics of central interest include human communication and multimodal language/dialogue processing, human-robot/agent interaction, affective computing and social interaction, cognitive modeling, multimodal representations and fusion-based architectures, machine learning for multimodal interaction and system applications, speech, gesture, haptics, olfaction, gaze and vision, multimodal datasets and platforms, mobile and ubiquitous interfaces, interfaces for virtual/augmented reality, smart environments, and assistive technologies. ------------------------------------------------------------------------------- Dongmei Jiang Professor, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.wong-lin at ulster.ac.uk Wed Sep 15 07:20:21 2021 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Wed, 15 Sep 2021 11:20:21 +0000 Subject: Connectionists: ISRC Computational Neuroscience, Neurotechnology and Neuro-inspired AI Autumn School (ISRC-CN3) Message-ID: Dear All, We are excited to announce that our ISRC Computational Neuroscience, Neurotechnology and Neuro-inspired AI Autumn School (ISRC-CN3) is now live and open for registration at the following link: https://store.ulster.ac.uk/product-catalogue/faculty-of-computing-engineering/school-of-computing-and-intelligent-systems/isrccn3-autumn-school This Autumn School (from 25th October to 29th October), which will be conducted in a hybrid format, is organised by our Intelligent Systems Research Centre (ISRC) at Ulster University, Magee campus. More details can be found at the website: https://sites.google.com/view/isrc-cn3/home If you have any further queries about this event, please contact Dr. KongFatt Wong-Lin (k.wong-lin at ulster.ac.uk). This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Flyer_ISRC_CN3.pdf Type: application/pdf Size: 179063 bytes Desc: Flyer_ISRC_CN3.pdf URL: From suashdeb at gmail.com Thu Sep 16 02:27:18 2021 From: suashdeb at gmail.com (Suash Deb) Date: Thu, 16 Sep 2021 11:57:18 +0530 Subject: Connectionists: For ISMSI 2022 (Seoul or Virtual) Message-ID: Dear esteemed colleagues, With *deadline for submission of manuscript hardly 2 months away*, this is high time for commencing to initiate the preparation for the same for 2022 6th ISMSI http://ismsi.org/ As already intimated ( & also formally uploaded at the website), the *host city is Seoul, Korea* but depending upon the evolution of covid pandemic in the coming days, *ISMSI 2022 may be converted to a full fledged virtual event ( like ISMSI21 & ISMSI20)*. Irrespective of the actual mode of the conference, I hope to receive continued support from your end in the form of submission of manuscripts as in the past. Thanks & warm rgds, Suash -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.van.erp at dh.huc.knaw.nl Wed Sep 15 12:42:50 2021 From: marieke.van.erp at dh.huc.knaw.nl (Marieke van Erp) Date: Wed, 15 Sep 2021 18:42:50 +0200 Subject: Connectionists: K-CAP deadline extension - abstracts due 16 September, full papers 21 September Message-ID: *apologies for cross-posting* ? Given the high number of requests the deadline is extended to 21 September 2021 but you *MUST* submit an abstract by 16 September so reviewers can be assigned ! K-CAP 2021 The Eleventh International Conference on Knowledge Capture December 2 - 3, 2021 A virtual conference https://www.k-cap.org/2021/ *Call for Papers* The massive quantity and increasing availability of information on the Web have catalyzed research in a wide range of fields. Today's data-driven world, however, needs more than an abundance of information, and there is a broadening focus on information quality and accuracy. Given the increasing demand for higher quality, accurate information that can be effectively and unambiguously used, the study of precise and scalable knowledge capture is of crucial importance. Knowledge capture involves the extraction of useful knowledge from multiple, potentially heterogeneous sources, as well as its acquisition directly from human experts. The International Conference on Knowledge Capture, K-CAP, is a forum that brings together members of disparate research communities who are interested in efficiently and precisely capturing knowledge from a variety of heterogeneous sources, and in creating representations that can be useful for automated reasoning, analysis, and other forms of machine processing, as well as to support users in knowledge-intensive collaborative tasks. To discuss and advance the goals of scalable and precise knowledge capture, K-CAP 2021 aims to attract researchers from diverse areas of artificial intelligence, including knowledge representation and reasoning, knowledge acquisition, semantic web, intelligent user interfaces for knowledge acquisition and retrieval, query processing and question answering over heterogeneous knowledge bases, novel evaluation paradigms, problem-solving and reasoning, agents, information extraction from structured or unstructured data, machine learning and representation learning, information enrichment and visualization, as well as researchers interested in cyber-infrastructures to foster the publication, retrieval, reuse, and integration of data. *Topics of interest* - Knowledge acquisition - Knowledge authoring - Knowledge extraction - Knowledge management - Knowledge publication - Knowledge capture from multimodal data, e.g., text, audio, visual - Knowledge capture for the Semantic Web and the Web of Linked Data - Knowledge capture and enrichment in specific domains such as earth and life sciences - Knowledge capture and Interoperability with existing Knowledge Graphs (e.g., Wikidata, DBpedia) - Entity linking and resolution using target Knowledge (e.g. Wikidata, DBpedia) - Collaborative and social approaches to knowledge management and acquisition - Crowdsourcing for knowledge capture and refinement - Handling bias in knowledge capture - Knowledge capture from social environments and contexts - Problem-solving knowledge and methods - Knowledge-based markup techniques - Modeling methodologies for ontologies and knowledge graphs - Narrative intelligence - Knowledge capture through storytelling - Provenance and trust issues in knowledge intensive systems - Services and applications that enable or utilize data capture techniques - Semantic search and query enrichment - Knowledge engineering and knowledge governance - Ontology design patterns - Similarity measurement and analogy-based reasoning - Extracting knowledge graphs from unstructured/semi-structured and multimedia data - Summarization techniques for knowledge graphs - Visualization of knowledge graphs and visual query interfaces - Services and API for knowledge graphs - Addressing scalability issues for distributed knowledge graphs - Automated construction, enrichment and cleaning of knowledge graphs and alignment to existing graphs - Hybrid approaches for knowledge capture combining knowledge engineering and machine learning - Data dynamicity, heterogeneity, and decay in knowledge intensive systems *Submissions* The eleventh International Conference on Knowledge Capture, K-CAP 2021, features a full papers track for research papers, as well as tracks for short papers, for visionary ideas, and for demos. - Full papers, which describe original research, can be up to 8 pages long including references. Full papers will appear in the conference proceedings and will be citable as K-CAP 2021 publications; - Short papers, which may describe (possibly preliminary or open-ended) research, applications (academic, industrial or otherwise), and late breaking results, can be up to 4 pages long, including references. Short papers will also appear in the conference proceedings and will be citable as K-CAP 2021 publications; - Visionary papers, which describe outrageous ideas or potentially preliminary, but highly innovative research, can be up to 2 pages long, including references. Visionary papers will be presented as short talks in the conference program; - Demo papers, which exemplify applications or illustrate work presented in other submissions, can be up to 4 pages long, including references. Demos will be presented as short talks in the conference program. Authors of all paper types will present their work in plenary sessions during the conference. Presentation timing for the different types of papers will be announced once the program is crafted. K-CAP is not a double-blind conference, hence authors should list their names and affiliations on the submission. Please use the ACM 2 column SIG Conference Proceedings template for your submission. Submissions in HTML format are welcome, so long as authors of HTML submissions also provide a conversion of their submission to a PDF file that adheres to the required ACM template for proceedings. Papers submitted to the main conference track should not have been published before in an archival venue, or currently be under review in an archival venue. Authors are welcome to submit papers that have been published as a preprint on arXiv, or in a non-archival venue like a workshop. All submissions to K-CAP should be made through EasyChair: https://easychair.org/conferences/?conf=kcap21 This year we will embrace the FAIR principles by collecting structured metadata of the datasets, software, ontologies and methods generated by K-CAP submissions. Authors will be encouraged to add these resources in the EasyChair submission form (together with a brief description). Accepted papers with resources will be highlighted in the main K-CAP conference page. *Important Dates* - Abstract submission: September 16, 2021 - Paper submission: September 21, 2021 - Author notification: October 13, 2021 - Camera ready version due: October 25, 2021 - Conference dates: December 2-3, 2021 All deadlines are midnight AoE (Anywhere on Earth). -------------- next part -------------- An HTML attachment was scrubbed... URL: From aclapes at gmail.com Thu Sep 16 03:22:16 2021 From: aclapes at gmail.com (=?utf-8?Q?Albert_Clap=C3=A9s?=) Date: Thu, 16 Sep 2021 09:22:16 +0200 Subject: Connectionists: [CfP] Understanding Social Behavior in Dyadic and Small Group Interactions (PMLR) Message-ID: <4bf0067e-f7bb-4f27-8fb7-90e0cbc64b61@Spark> Call for papers/brief book chapters: Understanding Social Behavior in Dyadic and Small Group Interactions (Proceedings of Machine Learning Research - PMLR:?https://proceedings.mlr.press/) Description: Human interaction has been a central topic in psychology and social sciences, aiming at explaining the complex underlying mechanisms of communication with respect to cognitive, affective and behavioral perspectives. From a computational point of view, research in dyadic and small group interactions enables the development of automatic approaches for detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics. Many human-centered applications for good (e.g., early diagnosis and intervention, augmented telepresence and personalized assistive agents) depend on devising solutions for such tasks. Verbal and nonverbal communication channels are used in dyadic and small group interactions to convey our goals and intentions while building a common ground. During interactions, people influence each other based on the cues they perceive. However, the way we perceive, interpret, react, and adapt to them depends on a myriad of factors (e.g., our personal characteristics, either stable or transient; the relationship and shared history between individuals; the characteristics of the situation and task at hand; societal norms; and environmental factors). To analyze individual behaviors during a conversation, the joint modeling of participants is required due to the existing dyadic or group interdependencies. While these aspects are usually contemplated in non-computational dyadic research, context- and interlocutor-aware computational approaches are still scarce, largely due to the lack of datasets providing contextual metadata in different situations and populations. Topics and Motivation: In line with these, we would like to bring together researchers in the field and from related disciplines to discuss the advances and new challenges on the topic of dyadic and small group interactions. We want to put a spotlight on the strengths and limitations of the existing approaches, and define the future directions of the field. In this context, we accept papers/brief book chapters in form of tutorials, surveys, and/or novel technical/scientific contributions addressing the issues related to, but not limited to, these topics: ? Detection, understanding, modeling, prediction and synthesis of individual and interpersonal social signals and dynamics; ? Verbal / nonverbal communication analysis in dyadic and small groups; ? Contextual analysis in dyadic and small groups; ? Datasets, annotation protocols and bias discovering/mitigation methods in dyadic and small groups; ? Interpretability / Explainability in dyadic and small groups; Researchers that express their interest in contributing to the PMLR proceedings by October 1st may be invited to present a snippet of their research during the?ICCV?21 Understanding Social Behavior in Dyadic and Small Group Interactions (DYAD)?Workshop (https://chalearnlap.cvc.uab.cat/workshop/44/description/) if they wish to in order to increase visibility of their research and possibly foster multidisciplinary collaboration. Important dates: ? Title and abstract (optional but strongly encouraged): October 1st, 2021 ? ICCV?21 DYAD workshop: October 16th, 2021 ? Paper submission: November 30th, 2021 (extended) ? Author notification: mid-January 2022 (tentative) ? Camera-ready (PMLR): mid-February 2022 (tentative) Submission of intent (title and abstract) by email:?sergio at maia.ub.es Paper submission via CMT platform:?https://cmt3.research.microsoft.com/PLMRDYAD2021 More info at:?https://chalearnlap.cvc.uab.cat/workshop/44/schedule/?(PMLR track) ORGANIZATION and CONTACT* Sergio Escalera*, Computer Vision Center (CVC) and University of Barcelona, Spain Cristina Palmero*, Computer Vision Center (CVC) and University of Barcelona, Spain Wei-Wei Tu, 4Paradigm Inc., China Albert Clap?s, Aalborg University (AAU), Denmark, and Computer Vision Center (CVC) , Spain Julio C. S. Jacques Junior, Computer Vision Center (CVC/UAB), Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From salvador.limalopez at gmail.com Wed Sep 15 06:05:40 2021 From: salvador.limalopez at gmail.com (Salvador Lima) Date: Wed, 15 Sep 2021 12:05:40 +0200 Subject: Connectionists: Invitation to MEDDOPROF shared task on occupation detection overview session Message-ID: Hi, everyone! We would like to invite you to the MEDDOPROF shared task overview session, which will be held as part of IberLEF 2021 and in conjunction with the XXXVII International Conference of the Spanish Society for Natural Language Processing, next *September 21st*. MEDDOPROF focuses on the recognition and normalization of occupations in clinical texts in Spanish. Occupations have an important influence on our health. An entire medical specialty (occupational medicine) is centered around them, dealing with (amongst others) workplace accidents, exposure to toxic substances and pathogens, mental health impact, ? The current pandemic has also underscored this influence, as many people with specific occupations have been specially affected (for instance, health professionals and other essential workers). The detection of these terms should help researchers to better characterize health risks of specific occupations. In the overview session, we will present the main aspects of the task and participants will present their systems. The program is included at the end of this email. Additionally, a shorter plenary session will be held in the evening. If you want to know more, the shared task's paper was recently released on the SEPLN journal ( http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6393) and the participant system descriptions are available at CEUR ( http://ceur-ws.org/Vol-2943/). You can also visit the MEDDOPROF website at https://temu.bsc.es/meddoprof/ and download the MEDDOPROF Gold Standard at https://doi.org/10.5281/zenodo.5070540. *Date: *September, 21st *Registration: *https://form.jotform.com/cedi2020/inscripcioncedi The registration form is in Spanish, but the workshop is completely in English! If you need help with the formulary, please visit this link ( http://www.hitz.eus/sepln2021/?q=node/12) or write back to me and I'll try to help you. *Organizers: * - *Martin Krallinger*, Barcelona Supercomputing Center, Spain - *Eul?lia Farre-Maduell*, Barcelona Supercomputing Center, Spain - *Antonio Miranda Escalada*, Barcelona Supercomputing Center, Spain - *Salvador Lima L?pez*, Barcelona Supercomputing Center, Spain - *Vicent Briv?-Iglesias*, Dublin City University, Ireland *Scientific committee:* - *Sophia Ananadiou*, Department of Computer Science, University of Manchester, UK - *Dina Demner-Fushman*, Tenure Track Investigator, Biomedical Informatics Branch, Lister Hill National Center for Biomedical Communications - *Hercules Dalianis*, Professor in Computer and Systems Science, Stockholm University, Sweden - *Hongfang Liu*, Professor of Biomedical Informatics, Mayo Clinic - *Josep Maria Haro Abad*, Institut de Recerca Sant Joan de D?u - *Bradley Malin*, Accenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, Vanderbilt - *Goran Nenadic*, Department of Computer Science, University of Manchester, UK - *Aur?lie N?v?ol*, LIMSI-CNRS, Universit? Paris-Sud, France - *?ystein Nytr?*, Department of Computer and Information Science, Norges teknisk-naturvitenskapelige universitet (NTNU) - *Carlos Luis Parra Calder?n*, Head of Technological Innovation at Virgen del Roc?o University Hospital, Institute of Biomedicine of Seville, Spain - *Kirk E. Roberts*, School of Biomedical Informatics, University of Texas Health Science Center - *Francisco Javier Sanz Valero*, Escuela Nacional de Medicina del Trabajo, Instituto de Salud Carlos III, Spain - *Stefan Schulz*, Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria - *Ashish Tendulkar*, Machine Learning Specialist at Google - *Michelle Turner*, Assistant Research Professor at Barcelona Institute for Global Health, Secretary-Treasurer International Society for Environmental Epidemiology (ISEE) - *Ozlem Uzuner*, George Mason University - *Alfonso Valencia* *Herrera*, Barcelona Supercomputing Center (BSC-CNS), Spain *Schedule:* Local Time (CEST) - September 21nd, 2021 Title Presenter Affiliation 11:00-11:30 am Overview of the Plan TL/BSC MEDDOPROF Shared Task on Detection and Normalization of Occupations in Spanish Medical Documents Salvador Lima-L?pez Barcelona Supercomputing Center, Spain 11:30-11:40 am NLNDE at MEDDOPROF: Boosting Transformers in a Low-Resource Setting Lukas Lange Bosch Center for Artificial Intelligence, Germany 11:40-11:50 am Vicomtech at MEDDOPROF: Automatic Information Extraction and Disambiguation in Clinical Text Elena Zotova Vicomtech, Spain 11:50-12:00 am TALP at MEDDOPROF: Everything Transformers: Recognition, Classification and Normalisation of Professions and Family Relations Salvador Medina Herrera Universitat Polit?cnica de Catalunya, Spain 12:00-12:10 am EdIE-KnowLab at MEDDOPROF: BERT and Approximate String Matching for Automatic Recognition and Normalization of Professions in Spanish Medical Documents V?ctor Su?rez-Paniagua University of Edinburgh, UK 12:10-12:20 pm SINAI at MEDDOPROF: BERT Representations to Identify Professions and Employment Statuses in Health data Jos? Alberto Mesa Murgado Universidad de Ja?n, Spain 12:20-12:30 pm Conclusions and wrap-up on MEDDOPROF and ongoing Plan TL/BSC evaluation efforts Martin Krallinger Barcelona Supercomputing Center, Spain I hope to see you next week! On behalf of the MEDDOPROF track organizers, Salvador Lima Lopez RESEARCH ENGINEER Life Sciences - Text Mining, BSC-CNS Barcelona, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Sep 15 10:51:20 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 15 Sep 2021 17:51:20 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Mihaela_van_der_Schaa?= =?utf-8?q?r=3A_=E2=80=9CMachine_learning_for_medicine_and_healthca?= =?utf-8?q?re=E2=80=9D=2C_21st_September_2021_17=3A00-18=3A00_CET?= =?utf-8?q?=2E_Upcoming_AIDA_AI_excellence_lectures?= References: <1c5901d7a612$5e08b4d0$1a1a1e70$@csd.auth.gr> <001501d7a62d$93a9d900$bafd8b00$@csd.auth.gr> <011f01d7a9ee$557d61f0$007825d0$@csd.auth.gr> <001601d7aa06$d1eb6670$75c23350$@csd.auth.gr> Message-ID: <064101d7aa41$25f4df00$71de9d00$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor?s Professor at UCLA. This prominent AI researcher internationally, will deliver the e-lecture: ?Machine learning for medicine and healthcare?, on Tuesday 21st September 2021 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/event_cat/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/95489189852 & Password: 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) The 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 -- 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 angerhangy at gmail.com Wed Sep 15 09:27:07 2021 From: angerhangy at gmail.com (Hang Yuan) Date: Wed, 15 Sep 2021 14:27:07 +0100 Subject: Connectionists: [jobs] Postdoctoral position (ML4Health) @ Oxford Message-ID: <2C54C3F3-DA65-42FE-B24B-7D42B5074A6A@gmail.com> Hey all, We have an exciting opportunity for ML4Health based in Oxford. The objective is to apply deep learning on time-series data (wearables) to improve clinical outcomes. We have access to some of the largest clinical datasets in the world and work closely with an array of experts from different disciplines to maximise the real-world impact of our research. Please feel free to reach out if you have any questions :D The application deadline is 12.00 noon on the 29th of September 2021. For more information, please refer to here : https://tinyurl.com/y7396e86 Best, Hang he/him | hangyuan.xyz -------------- next part -------------- An HTML attachment was scrubbed... URL: From sujith at iitm.ac.in Fri Sep 17 00:20:41 2021 From: sujith at iitm.ac.in (Sujith R I) Date: Fri, 17 Sep 2021 04:20:41 +0000 Subject: Connectionists: Invitation to a Webinar Series Message-ID: <1631852764127.83321@iitm.ac.in> An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: OrganizersSeminarSeries.png Type: image/png Size: 3250885 bytes Desc: OrganizersSeminarSeries.png URL: From albagarciaseco at gmail.com Thu Sep 16 10:52:15 2021 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Thu, 16 Sep 2021 16:52:15 +0200 Subject: Connectionists: 1st Call for Participation & registration: MediaEval 2021 Predicting Video Memorability Task Message-ID: [Apologies for cross-postings] ******************************************************* 1st CALL FOR PARTICIPATION & DEVELOPMENT DATA RELEASE Predicting Video Memorability Task 2021 MediaEval Benchmarking Initiative for Multimedia Evaluation https://multimediaeval.github.io/editions/2021/tasks/memorability/ ******************************************************* Register to participate by filling in the MediaEval 2021 Registration form: https://docs.google.com/forms/d/e/1FAIpQLSchIcIaSlM1fNeWGCSoSBMR6HS48HKMhWEY151vvCmb5KhO-w/viewform ******************************************************* Annotations: https://annotator.uk/mediaeval/index.php ******************************************************* The Predicting Video Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered. Participants will be provided with an extensive dataset of videos with memorability annotations, and pre-extracted state-of-the-art visual features. The ground truth has been collected through recognition tests, and, for this reason, reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorisation, the dataset comes with short-term and long-term memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorisation, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications. ******************************************************* Video-based prediction task ******************************************************* Participants will be required to train computational models capable of inferring video memorability from visual content. Optionally, descriptive titles attached to the videos may be used. Models will be evaluated through standard evaluation metrics used in ranking tasks. ******************************************************* Generalization task (optional) ******************************************************* The aim of the Generalization subtask is to check system performance on other types of video data. Participants will use their systems, trained on one of the two sources of data we propose, to predict the memorability of videos from the testing set of the other source of data. We believe this would provide interesting insights into the performance of the developed systems, given that, while the two sources of data measure memorability in a similar way, the videos may be somewhat different with regards to their content, general subjects or length. As this will be an optional task, participants are not required to participate in it. Pilot demonstration task (pilot) ******************************************************* The aim of the Memorability-EEG pilot task is to promote interest in the use of neural signals?either alone, or in combination with other data sources?in the context of predicting video memorability by demonstrating what EEG data can provide. The dataset will be a set of features pre-extracted from the EEG for a subset of videos from task 1. This demonstration pilot will enable interested researchers to see how they could use neural signals without any of the requisite domain knowledge in a future Memorability task, potentially increasing interdisciplinary interest in the subject of memorability, and opening the door to novel EEG-computer vision combined approaches to predicting video memorability. Pre-selected participants in this pilot demonstration will use the dataset to explore all manners of machine learning and processing strategies to predict video memorability. This will lead to a presentation on their findings, which will ultimately contribute towards the collaborative definition of a fully-fledged task at MediaEval 2022, where participating teams will submit runs and be benchmarked. *********************** Target communities *********************** Researchers will find this task interesting if they work in the areas of human perception and scene understanding, such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, machine learning (though not limited to). *********************** Data *********************** The first dataset is composed of a subset of 6,000 short videos retrieved from TRECVid 2019 Video to Text dataset [1]. Each video consists of a coherent unit in terms of meaning and is associated with two scores of memorability that refer to its probability to be remembered after two different durations of memory retention. Similar to previous editions of the task [2], memorability has been measured using recognition tests, i.e., through an objective measure, a few minutes after the memorisation of the videos (short term), and then 24 to 72 hours later (long term). The videos are shared under Creative Commons licenses that allow their redistribution. They come with a set of pre-extracted features, such as: Histograms in the HSV and RGB spaces, HOG, LBP, and deep features extracted from AlexNet, VGG and C3D. In comparison to the videos used for this task in 2018 and 2019, the TRECVid videos have much more action happening in them and thus are more interesting for subjects to view. Additionally, we will open the Memento10k dataset to participants. This dataset contains 10.000 three-second videos depicting in-the-wild scenes, with their associated short term memorability scores, memorability decay values, action labels, and 5 accompanying captions. 7000 videos will be released as a training set, and 1500 will be given for validation. The last 1500 videos will be used as the test set for scoring submissions. The scores are computed with 90 annotations per video on average, and the videos were deafened before being shown to participants. We will also distribute a set of features for each video analogous to the Trecvid set. *********************** Annotations *********************** We need more annotations for the dataset. We kindly ask for your help to get more annotations. Please visit the link ( https://annotator.uk/mediaeval/index.php) and participate in the funny game to contribute to the dataset and get familiar with the data. Thanks in advance for your contribution ****************************** Workshop ****************************** Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held in Bergen, Norway with opportunity for online, on 6-8 December 2021. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org). ****************************** Important dates (tentative) ****************************** (open) Participant registration: July Data release: 15 September Runs due: 11 November Working notes papers due: 22 November MediaEval Workshop: 6-8 December, in Bergen, Norway with opportunity for online participation *********************** Task coordination *********************** Alba Garc?a Seco de Herrera, , University of Essex, UK Rukiye Savran Kiziltepe, , University of Essex, UK Mihai Gabriel Constantin, , University Politehnica of Bucharest, Romania Bogdan Ionescu, University Politehnica of Bucharest, Romania Alan Smeaton, Graham Healy, Dublin City University, Ireland Claire-H?l?ne Demarty, InterDigital, R&I, France Sebastian Halder, University of Essex, UK Ana Matr?n-Fern?ndez, University of Essex, UK Camilo Fosco, Massachusetts Institute of Technology Cambridge, Massachusetts, USA Lorin Sweeney, Dublin City University, Ireland Graham Healy, Dublin City University, Ireland On behalf of the Organizers, Alba Garc?a Seco de Herrera Dr Alba Garc?a Seco de Herrera Department of Computer Science and Electronic Engineering (CSEE) University of Essex https://www.essex.ac.uk/people/garci58409/alba-garcia-seco-de-herrera -------------- next part -------------- An HTML attachment was scrubbed... URL: From jarsalas at inf.ufrgs.br Thu Sep 16 12:11:08 2021 From: jarsalas at inf.ufrgs.br (Jaime Andres Riascos Salas) Date: Thu, 16 Sep 2021 11:11:08 -0500 Subject: Connectionists: [Final CFP] III Latin American Workshop on Computational Neuroscience (III LAWCN) Message-ID: <0aedf289ba3cb220185bbfbbcc57a734@inf.ufrgs.br> *****Sorry for the cross-posting***** FINAL CALL FOR PAPERS - III LAWCN (https://www.lawcn.com.br/) - Deadline for submission: September 27, 2021 The third edition of the Latin American Workshop on Computational Neuroscience (LAWCN) will be an event in hybrid mode. It will be held in person in the city of S?o Luis de Maranh?o (Brazil) and online from December 8 to 10, 2021. The event counts with financial support from the International Brain Research Organization (IBRO). Accepted papers will appear in the Communications in Computer and Information Science (CCIS) proceedings series - Springer Nature (ISSN 1865-0929). Overview The human brain is considered the most complex object in the known universe and the least understood organ in the human body. Neuroscientists with different backgrounds (medicine, psychology, electrical engineering, biomedical engineering, mechanical engineering, computer science, mathematics, physics, etc.) come together with the goal of understanding the brain. The idea of a series of events to support new findings on the brain and its dissemination among neuroscientists in the field of Computational Neuroscience and related issues for the Latin American community began in 2012 with a group of researchers from the Federal University of Rio Grande do Sul. (UFRGS) - Brazil. Subsequently, this initial event led to the creation of the Latin American Computational Neuroscience Workshop (LAWCN) in 2017. In keeping with the tradition of the previous edition of this meeting, the III LAWCN has four main themes: A- Computational Neuroscience B- Neuroscience C- Neuroengineering D- Artificial intelligence and related topics. See the full list on https://www.lawcn.com.br/event/submissions.html The Workshop will consist mainly of the following activities ? A presentation of up to 8 key researchers of international and national renown. ? A round table to widely discuss gender diversity in Neuroscience. ? Oral presentations of accepted papers by their authors. ? Poster session. * Committees * Conference chair ? Paulo Rog?rio de Almeida Ribeiro, Federal University of Maranh?o (UFMA), Brazil (Chair) ? Vinicius Rosa Cota, Federal University of S?o Jo?o del-Rei (UFSJ), Brazil (Co-Chair) Organization ? Alex Oliveira Barradas Filho, Federal University of Maranh?o (UFMA), Brazil ? Alexandre C?sar Muniz de Oliveira, Federal University of Maranh?o (UFMA), Brazil ? Allan Kardec Duailibe Barros Filho, Federal University of Maranh?o (UFMA), Brazil ? Dante Augusto Couto Barone, Federal University of Rio Grande do Sul (UFRGS), Brazil ? Fabr?cio Lima Brazil, International Institute of Neuroscience Edmond and Lily Safra, Instituto Santos Dumont (ISD), Brazil ? Frederico Augusto Casarsa de Azevedo, Massachusetts Institute of Technology (MIT) / Harvard Medical School, USA ? Jaime A. Riascos Salas, University Institution of Envigado, Colombia ? Paulo Rog?rio de Almeida Ribeiro, Federal University of Maranh?o (UFMA), Brazil ? Sofia MA Falco Rodrigues, Federal Center for Technological Education of Minas Gerais (CEFET-MG), Brazil ? Sen Cheng, Ruhr University Bochum, Germany Keynote Speakers ? Alan Talevi ? Universidad Nacional de La Plata (Argentina) ? Peter Tass - Stanford University (USA) ? Kerstin Schmidt - Federal University of Rio Grande do Norte (Brazil) ? Andre Carvalho - University of S?o Paulo (Brazil) ? Jose C Principe - University of Florida (USA) ? Angela Wyse - Federal University of Rio Grande do Sul (Brazil) Roundtable ? Dania Guti?rrez - Cinvestav Monterrey (M?xico) Important dates. ? Presentation begins June 21, 2021 ? Deadline for submission of papers: September 27, 2021 ? Notification of acceptance (Paper): October 29, 2021 ? Ready for the camera (Paper): November 16, 2021 ? Abstract submission deadline: September 27, 2021 ? Notification of acceptance (summary): October 15, 2021 ? Ready for the camera (summary): October 31, 2021 Workshop: December 8-10, 2021 More Information: www.lawcn.com.br Best regards and see you in S?o Luis!!! -- Jaime A. Riascos Salas Data Scientist @ MINTIC - UpSensor Lead Researcher @ IUE From marcello.pelillo at gmail.com Thu Sep 16 13:58:57 2021 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Thu, 16 Sep 2021 19:58:57 +0200 Subject: Connectionists: New MIT Press Book: Machines We Trust Message-ID: Readers of this mailing list may be interested in the following MIT Press book (August 2021): *Machines We Trust* Perspectives on Dependable AI *Marcello Pelillo and Teresa Scantamburlo (Eds.)* https://mitpress.mit.edu/books/machines-we-trust Best regards -mp -- Marcello Pelillo, *FIEEE, FIAPR, FAAIA* Professor of Computer Science Ca' Foscari University of Venice, Italy IEEE SMC Distinguished Lecturer Specialty Chief Editor, *Computer Vision - Frontiers in Computer Science* -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Thu Sep 16 14:53:21 2021 From: timofte.radu at gmail.com (Radu Timofte) Date: Thu, 16 Sep 2021 20:53:21 +0200 Subject: Connectionists: Hiring several PhD students and PostDocs in Computer Vision, Image Processing and Machine Learning Message-ID: Hiring Several PostDocs and PhD Students in Computer Vision, Image Processing, and Machine Learning (Apologies for cross-postings.) The Computer Vision Laboratory led by Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science , University of Wurzburg, is looking for outstanding candidates to fill several computer vision and machine learning fully-funded postdoc and PhD positions . Julius-Maximilians University of W?rzburg (JMU), founded in 1402, is one of the leading institutions of higher education in Germany and well-known on the international stage for delivering research excellence with a global impact. The University of W?rzburg is proud to be the home of outstanding researchers and fourteen Nobel Prize Laureates. W?rzburg is a vibrant city in Bavaria, Germany?s economically strongest state and home base to many international companies. We look forward to welcoming you to the University of W?rzburg! Computer Vision Laboratory and University of W?rzburg in general are an exciting environment for research, for independent thinking. Prof. Radu Timofte?s team is highly international, with people from about 12 countries, and the members have already won awards at top conferences (ICCV, CVPR, ICRA, NIPS, ...), founded successful spinoffs, and/or collaborated with industry. Prof. Radu Timofte is a 2022 winner of the prestigious Humboldt Professorship for Artificial Intelligence Award. Prof. Radu Timofte also leads the Augmented Perception Group at ETH Zurich. Depending on the position, the successful candidate will focus on a subset of the following Research Topics: ? deep learning ? computational photography ? domain translation ? learned image/video compression ? image/video super-resolution ? learning paradigms ? image/video understanding ? augmented and mixed reality ? edge inference and mobile AI The tasks will involve designing, developing, and testing novel ideas in cutting-edge research, as well as coordinating and conducting data collection for their evaluation. The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs. The successful candidate will also collaborate with industry. Profile ? Master's degree in computer science, electrical engineering, physics or applied mathematics/ statistics ? Good programming knowledge and experience with Python / C++ / MATLAB ? Interest, prior knowledge and experience in one or more of the following is a plus: computer vision, deep learning, machine learning, image processing ? Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving ? Fluent written and spoken English is a must. ? Postdoc applicants are expected to have a strong track of published research, including top, high impact, journal (such as PAMI, IJCV, TIP, NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS, ICLR) papers. Timeline The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, up to 60k euros per year, before tax. Typically a PhD takes ~4 years to complete and a PostDoc position is for at least 1 year. Applications will be reviewed on a rolling basis until all the positions are filled. The interviews are scheduled to start after 20.09.2021. Application Interested applicants should email asap their PDF documents (including CV, diplomas, transcripts of records, referees / recommendation letters, etc.) to Prof.Dr. Radu Timofte, radu.timofte at uni-wuerzburg.de or radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From contactnewinml at gmail.com Thu Sep 16 18:20:56 2021 From: contactnewinml at gmail.com (Contact NewInML) Date: Fri, 17 Sep 2021 00:20:56 +0200 Subject: Connectionists: Call For Paper - NewInML workshop NeurIPS 2021 - Deadline extended to October 1, 2021 Message-ID: Paper submission deadline is *extended* to October 1, 2021 (Anywhere on Earth). Like previous editions, the goal of the NewInML workshop NeurIPS 2021 is to provide young researchers with the guidance they need to contribute to machine learning research fully and effectively. We are targeting anyone who has not published a paper at the NeurIPS main conference yet. We invited top researchers to review submitted work and share their experience. Accepted papers could expect further coaching and mentorship, submitted papers can then be revised and submitted to NeurIPS 2022 main conference. Submissions should respect the NeurIPS format and instructions: https://nips.cc/Conferences/2021/CallForPapers. Submissions are limited to 9 content pages, including all figures and tables; additional pages containing the NeurIPS paper checklist and references are allowed. Shorter papers with enough good contents are also welcome. Please check http://newinml.org/ for more details! You are welcome to forward this message to anyone (collaborators, friends, students, etc.) who might be interested! Thanks in advance! Sincerely, The NewInML Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Thu Sep 16 18:30:08 2021 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Fri, 17 Sep 2021 00:30:08 +0200 Subject: Connectionists: COSYNE 2022: Meeting announcement Message-ID: <4c9983fb-b40a-363e-5e61-0a3eb028d222@gmail.com> ==================================================== Computational and Systems Neuroscience 2022 (Cosyne) MAIN MEETING 17 - 20 March 2022 Lisbon, Portugal WORKSHOPS 21 - 22 March 2022 Cascais, Portugal www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 20 November 2021. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission opens: 15 October 2021 Travel grant submission opens: 01 November 2021 Abstract submission deadline: 20 November 2021 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Program Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Workshop Chairs: Anna Schapiro (U Penn) and Blake Richards (McGill) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Bianca Jones Martin (Columbia), Gabrielle Gutierrez (Columbia), and Stefano Recanatesi (U Washington) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Bob Wilson (U Arizona) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Poster Design: Maja Bialon PROGRAM COMMITTEE Laura Busse (U Munich) Tim Vogels (IST Austria) Athena Akrami (UCL) Omri Barak (Technion) Brice Bathellier (Paris) Bing Brunton (U Washington) Yoram Burak (Hebrew University) SueYeon Chung (Columbia) Christine Constantinople (NYU) Victor de Lafuente (UNAM Mexico) Jan Drugowitsch (Harvard) Alexander Ecker (G?ttingen) Tatiana Engel (Cold Spring Harbor) Annegret Falkner (Princeton) Kevin Franks (Duke) Jens Kremkow (Berlin) Andrew Leifer (Princeton) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Emilie Mace (MPI Neurobiology) Mackenzie Mathis (EPFL Lausanne) Ida Momennejad (Microsoft) Jill O'Reilly (Oxford) Il Memming Park (Stony Brook) Adrien Peyrache (McGill Montr?al) Yiota Porazi (FORCE) Nathalie Rochefort (Edinburgh) Christina Savin (NYU) Daniela Vallentin (MPI Ornithology) Brad Wyble (U Penn) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From A.Soltoggio at lboro.ac.uk Fri Sep 17 05:17:42 2021 From: A.Soltoggio at lboro.ac.uk (Andrea Soltoggio) Date: Fri, 17 Sep 2021 09:17:42 +0000 Subject: Connectionists: Adaptive Machines: Leveraging Neuroscience for Lifelong Learning Systems Message-ID: Dear Connectionists, This is a reminder of the upcoming deadline (30th of September) to submit to the Research Topic ?Adaptive Machines: Leveraging Neuroscience for Lifelong Learning Systems?, co-hosted by Frontiers in Neuroscience, Robotics and AI, Big Data, Artificial Intelligence, Neurorobotics and Computational Neuroscience. Link: https://www.frontiersin.org/research-topics/20053/adaptive-machines-leveraging-neuroscience-for-lifelong-learning-systems#overview Description: Artificial intelligence has always sought inspiration in the brain. Artificial neural networks (ANNs), in particular, were modeled after their biological counterparts (biological neural networks, BNNs). However, state-of-the-art deep networks are drastically different from BNNs. Their architectures (at both the single-neuron and macro levels), learning algorithms, and failure conditions share little in common with brain circuit dynamics. In particular, state-of-the-art deep learning is optimized for single, well-defined, static tasks. Deep networks struggle to learn multiple or evolving tasks over time (i.e., continual learning) or to adjust their processing based on environmental conditions. They are also less modular than BNNs, and thus less energy efficient, and utilize little-to-no feedback signals. We believe that deep networks suffer from these limitations because their modeling of brain dynamics is too superficial. Modeling more sophisticated neural mechanisms is therefore key for deep networks to achieve continual or lifelong learning and to cope with open-ended, dynamic environments. The goal of this Research Topic is to publish novel models and/or algorithms that expand the capabilities of deep learning (e.g., achieve better continual learning) by incorporating additional properties of BNNs. We are also interested in neuroscience research that elucidates mechanisms that can be leveraged by the AI community. Neuroscience has uncovered a wide range of learning and regulatory mechanisms, at scales ranging from single molecules to the entire nervous system, that help the brain learn, remember, and adapt. These include replay (systems-level consolidation), neuromodulation, neurogenesis, neuroevolution, attention, homeostatic plasticity, and synaptic consolidation. There exist some deep learning techniques motivated by these mechanisms (e.g., experience replay or attention networks), but they have rarely been used for lifelong learning. As such, our focus will be on approaches that leverage brain-like principles---ideally biologically well-grounded---to solve problems currently beyond the capabilities of the state of the art. We will also welcome neuroscience research that helps to elucidate the brain?s mechanisms, in the hope that they can be used by the next generation of machine learning models. The scope of this Research Topic covers: (1) biologically inspired techniques in deep learning (2) neuroscience research on how the brain facilitates learning and adapts to different contexts We seek to address continual or lifelong learning, transfer learning, and other ML scenarios that go beyond the traditional, train-then-test learning paradigm. Since machine learning is an experimental field, a paper must include experimental results to be accepted; however, we encourage authors to include theoretical analyses of their methods. We aim to collect the following types of manuscripts: Original Research and Brief Research Reports. Since the goal of this Research Topic is to publish highly novel, experimentally grounded work, we are not interested in Reviews (Systematic, Policy and Practice, etc.), General Commentaries, or Opinions. In addition, since the editorial board does not include medical experts, we cannot accept Clinical Trials or Study Protocols. The Research Topic is edited by Rolando Jose Estrada, Georgia State University, USA Andrea Soltoggio, Loughborough University, UK Praveen K. Pilly, HRL Laboratories, USA Vincenzo Lomonaco, University of Pisa, Italy, Davide Maltoni, University of Bologna, Italy. Please consider submitting your original research to this Research Topic. Do not hesitate to get in touch if you wish to discuss your contribution. Best wishes, Andrea -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio at lboro.ac.uk Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From salah at boun.edu.tr Fri Sep 17 06:12:20 2021 From: salah at boun.edu.tr (Albert Ali Salah) Date: Fri, 17 Sep 2021 12:12:20 +0200 Subject: Connectionists: Call for proposals - FG 2023 Message-ID: Dear Colleagues, The Steering Board of the IEEE International Conference on Automatic Face and Gesture Recognition (FG) invites proposals to host the 2023 edition of the conference, preferably around May-June 2023. IEEE FG is the premier international forum for research in image and video-based face, gesture, and body movement recognition. Its broad scope includes advances in fundamental computer vision, pattern recognition, computer graphics; machine learning techniques relevant to face, gesture and body motion; new algorithms and applications in behavioral science and affective computing. FG 2023 will be the 18th in a series that began in 1995 in Zurich, Switzerland. In keeping with past rotations between the Americas, Europe, and Asia, preference for FG 2023 will be given to proposals from Europe. FG 2021 is organized in India as a fully virtual event (http://iab-rubric.org/fg2021/) and FG 2022 is planned to be held in Guangzhou, China. IMPORTANT DATES Letter of Intent: October 15, 2021 Draft Proposal for initial feedback: November 15, 2021 Full proposals: December 1, 2021 All communications, including request for information and bid submission, should be sent to the FG Steering Board Chair (Albert Ali Salah, a.a.salah at uu.nl). Read the full call here: http://iab-rubric.org/fg2021/FG2023.html. Warmest regards, Albert -- Albert Ali Salah, PhD Prof. Social and Affective Computing, Department of Information and Computing Sciences, Utrecht University, www.cs.uu.nl Adjunct Prof., Department of Computer Engineering, Bogazici University, www.cmpe.boun.edu.tr Personal: http://www.staff.science.uu.nl/~salah006/ From liufengchaos at gmail.com Sat Sep 18 10:17:34 2021 From: liufengchaos at gmail.com (Feng Liu) Date: Sat, 18 Sep 2021 10:17:34 -0400 Subject: Connectionists: CfP: Call for Paper Frontiers in Neuroscience: Special Issue "Graph Learning for Brain Imaging" Message-ID: Dear Colleagues, We are writing to let you know that we are organizing a special issue "Graph Learning for Brain Imaging" in Frontiers in Neuroscience (impact factor 4.7). We believe this is a timely special issue to showcase the new developments using graph representation, deep learning on graph-structured data to address important brain imaging and computational neuroscience problems. *Link*: https://www.frontiersin.org/research-topics/23683/graph-learning -for-brain-imaging *Keywords*: Brain Networks, Graph Neural Networks, Brain Imaging, Graph Embedding, Multi-Modal Imaging. *Topics*: We are looking for original, high-quality submissions on innovative research and developments in the analysis of brain imaging using graph learning techniques. Topics of interest include (but are not limited to): ? Graph neural networks (GNN) for network neuroscience applications ? Graph neural network for brain mapping and data integration ? Graph convolution network (GCN) for brain disorder classification ? (Dynamic) Functional brain networks ? Brain networks development trajectories ? Graphical model for brain imaging data analysis ? Spatial-temporal brain network modeling ? Graph embedding and graph representation learning ? Information fusion for brain networks from multiple modalities or scales (fMRI, M/EEG, DTI, PET, genetics) ? Generative graph models in brain imaging ? Brain network inference: scalable, online, and from non-linear relationships ? Machine learning over graphs: kernel-based techniques, clustering methods, scalable algorithms for brain imaging ? A few-shot learning for learning from limited brain data ? Graph federated learning for brain imaging *Important Dates*: Abstract: 30-Sep-2021 Full paper: 30-Dec-2021 *Background:* Unprecedented collections of large-scale brain imaging data, such as MRI, PET, fMRI, M/EEG, DTI, etc. provide a unique opportunity to deepen our understanding of the brain working mechanisms, improve prognostic predictions for mental disorders, and tailor personalized treatment plans for brain diseases. Recent advances in machine learning and large-scale brain imaging data collection, storage, and sharing lead to a series of novel interdisciplinary approaches among the fields of computational neuroscience, signal processing, deep learning, brain imaging, cognitive science, and computational psychiatry, among which graph learning provides a valuable means to address important questions in brain imaging. Graph learning refers to designing effective machine learning and deep learning methods extracting important information from graphs or exploiting the graph structure in the data to guide the knowledge discovery. Given the complex data structure in different imaging modalities as well as the networked organizational structure of the human brain, novel learning methods based on graphs inferred from imaging data, graph regularizations for the data, and graph embedding of the recorded data, have shown great promise in modeling the interactions of multiple brain regions, information fusion among networks derived from different brain imaging modalities, latent space modeling of the high dimensional brain networks, and quantifying topological neurobiomarkers. The goal of this Research Topic is to synergize the start-of-the-art discoveries in terms of new computational brain imaging models and insights of brain mechanisms through the lens of brain networks and graph learning. --On Behalf of all the Guest Editors Feng Liu, Stevens Institute of Technology, Hoboken, NJ, USA Yu Zhang, Lehigh University, Bethlehem, PA, USA Jordi Sol?-Casals, Universitat de Vic - Universitat Central de Catalunya, Barcelona, SpainIslem Rekik, Istanbul Technical University, Istanbul, TurkeyYehia Massoud, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia Best regards Feng Liu -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Sat Sep 18 10:27:47 2021 From: junfeng989 at gmail.com (Jun Feng) Date: Sat, 18 Sep 2021 22:27:47 +0800 Subject: Connectionists: IEEE DependSys/SmartCity/DSS/GPC/DIKW-2021, Dec. 17-19, Haikou, China [Submission Deadline: Sep. 30] Message-ID: IEEE DependSys/SmartCity/DSS/GPC/DIKW-2021, Dec. 17-19, Haikou, China [Submission Deadline: Sep. 30] [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= CFP IEEE DependSys 2021: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications http://www.ieee-cybermatics.org/2021/dependsys/ CFP IEEE SmartCity 2021: The 19th IEEE International Conference on Smart City http://www.ieee-cybermatics.org/2021/smartcity/ CFP IEEE DSS 2021: The 7th IEEE International Conference on Data Science and Systems http://www.ieee-cybermatics.org/2021/dss/ CFP GPC 2021: The 16th International Conference on Green, Pervasive, and Cloud Computing http://www.ieee-cybermatics.org/2021/gpc/ CFP DIKW 2021: 2021 International Conference on Data, Information, Knowledge and Wisdom http://www.ieee-cybermatics.org/2021/dikw/ [Submission Deadline: Sep. 30][10+ Special Issues] [Dec. 17-19, Haikou, China] The IEEE DependSys/SmartCity/DSS/GPC/DIKW-2021 Conferences will be held at Haikou, China, December 17-19, 2021. We will be pretty happy to see all authors manage to attend DependSys/SmartCity/DSS/GPC/DIKW-2021. However, given the COVID-19 pandemic and associated travel restrictions, as the safety of people is of the highest priority, we know that special circumstances are best handled by having flexible options, and thus we are offering the option of either physical presence or virtual participation. Please consider to contribute and submit your original research papers to DependSys/SmartCity/DSS/GPC/DIKW-2021. ============================================================================= IEEE DependSys/SmartCity/DSS/GPC/DIKW-2021 are sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 10+ SCI & EI indexed prestigious journals (confirmed). 1. IEEE Transactions on Intelligent Transportation Systems SI on Graph-based Machine Learning for Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_db671bf4e4eb4a41ac1cf6da14a77750.pdf 2. IEEE Transactions on Intelligent Transportation Systems SI on Data Science for Cooperative Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_de7a6f420a2b4c6d894e4de63e495624.pdf 3. IEEE Transactions on Network Science and Engineering SI on The Nexus Between Edge Computing and AI for 6G Networks https://www.comsoc.org/publications/journals/ieee-tnse/cfp/nexus-between-edge-computing-and-ai-6g-networks 3. IEEE/ACM Transactions on Computational Biology and Bioinformatics SI: Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare https://www.computer.org/digital-library/journals/tb/call-for-papers-special-issue-on-deep-learning-empowered-big-data-analytics-in-biomedical-applications-and-digital-healthcare 5. Security and Communication Networks SI on Protocols, Technologies, and Infrastructures for Secure Mobile Video Communications https://www.hindawi.com/journals/scn/si/926306/ 6. MDPI Sensors SI on Recent Advances in Algorithm and Distributed Computing for the Internet of Things https://www.mdpi.com/journal/sensors/special_issues/Algorithm_Distributed_Computing_IOT 7. International Journal of Distributed Sensor Networks SI: Privacy-Preserving Solutions in the Internet of Things https://journals.sagepub.com/page/dsn/collections/special-issues/privacy-preserving-solutions-in-the-internet-of-things 8. IET Communications SI on Intelligent Metasurfaces for Smart Connectivity https://digital-library.theiet.org/files/IET_COM_CFP_IMSC.pdf 9. Building and Environment SI: AI and IoT Applications of Smart Buildings and Smart Environment Design, Construction and Maintenance https://www.journals.elsevier.com/building-and-environment/call-for-papers/ai-and-iot-applications-of-smart-buildings-and-smart-environment-design-construction-and-maintenance 10. Journal of Systems Architecture SI: Cloud-Edge-End Architecture for Internet of Things Applications https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/special-issue-on-cloud-edge-end-architecture-for-internet-of-things-applications-vsi-cloud-edge-end-iot 11. Information SI: "Crossing ?Data, Information, Knowledge, and Wisdom? Models?Challenges, Solutions, and Recommendations" https://www.mdpi.com/journal/information/special_issues/DIKW_RA_2021 * More special issues will be added later. ================== Important Dates ================== Paper Submission Deadline: 30 September, 2021 Authors Notification: 15 October, 2021 Final Manuscript Due: 15 November, 2021 Conference Date: 17-19 December, 2021 ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N28864) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Sat Sep 18 14:40:04 2021 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Sat, 18 Sep 2021 21:40:04 +0300 Subject: Connectionists: Call-for-Projects H2020 AI4Media Open Call for SMEs, entrepreneurs, and researchers in the AI and Media sectors Message-ID: ----------------- AI4Media Open Call #1 for up to ?50,000 in funding Who can apply: SMEs, entrepreneurs, & researchers Topics: AI and Media sectors More information https://www.ai4media.eu/open-call-1/ ----------------- The AI4Media project has ?500,000 to fund 10 projects to deliver innovative research and application solutions in the AI and Media domains. Submissions to the AI4Media ? Open Call #1 are open starting 1 September 2021 and run until 1 December 2021 (17h00 CEST). Do not miss the opportunity! AI4Media, funded under the European Union?s Horizon 2020 research and innovation programme, aims to become a Centre of Excellence by engaging a wide network of researchers across Europe and beyond, focusing on delivering the next generation of core AI advances and training to serve the Media sector, while ensuring that the European values of ethical and trustworthy AI are embedded in future AI deployments. The AI4Media ? Open Call #1 invites single entities, including entrepreneurs, SMEs, researchers, and research organisations to submit project proposals for the development of innovative research and application solutions to advance the AI and Media domains. Proposals can target either the Research or Application track and must address one of the defined open call challenges. The objective is to engage entities that develop and integrate applied research, speed up the uptake of research and innovations developed within the network, and generate contributions to the enrichment of the pool of research and technology tools of the AI4Media platform. ************** WHAT DOES THE OPEN CALL OFFER? The AI4Media ? Open Call #1 offers awarded projects with equity-free funding and tailored support, namely: - Equity-free funding: Up to ?50.000 per project. - Market-driven services: dedicated boot camps and online events to support market take-up of developed applications. - Business support: Business support to promote SME?s innovations and demonstrate technologies to cluster organisations and media stakeholders. - Research coaching: Research-focused projects will be allocated a coach to support the promotion of the research developed and integration in the AI4Media network. - Visibility and promotion: major visibility, promotion and networking opportunities are offered as part of the AI4Media project and related networks. ************** HOW DO I PARTICIPATE? To apply, you must first be registered on F6S to submit your proposal. Visit the AI4Media website to access all information about the open call, including guidelines, the challenge descriptions, evaluation procedures, and other details. You will also access a set of templates that are required to submit along with your proposal. The proposal must be submitted on F6S by 1 December 2021 (17h00 CET). All proposals submitted will be verified, evaluated, and contacted with their result. Awarded proposals will enter into an agreement with AI4Media. Two online information webinars will be implemented during the open call, on 30 September 2021 and 10 November 2021, both at 14h00 CET. Visit the AI4Media website for additional details. Awarded projects will implement their projects over the course of 9 months (Application projects) or 12 months (Research projects) divided into three stages. AI4Media will monitor and support the projects in each of these stages. ************** APPLY NOW! Apply now to the AI4Media ? Open Call #1, running from 1 September 2021 to 1 December 2021: https://www.f6s.com/ai4mediaopencall1/apply. For more information, please visit AI4Media at https://www.ai4media.eu/open-call-1/, follow us on Twitter, Facebook, LinkedIn, and YouTube, or reach out to opencall at ai4media.iti.gr. Join us and take part in the #AI and #media revolution. On behalf of the organizers, Bogdan Ionescu https://www.AIMultimediaLab.ro/ From hougen at ou.edu Fri Sep 17 13:24:48 2021 From: hougen at ou.edu (Hougen, Dean F.) Date: Fri, 17 Sep 2021 17:24:48 +0000 Subject: Connectionists: FW: Postdoc opportunity In-Reply-To: References: Message-ID: All, I am looking to hire a postdoc to work in the area of machine learning, data science & analytics, and/or decision support applied to public health. The position is at the University of Oklahoma and salary is up to $75K per year with a project duration of two years. For more information on the position, please read the attached job description or visit the application website. To apply, please visit: https://ou.taleo.net/careersection/2/jobdetail.ftl?job=212540. For more information on me, please see my home page: https://www.cs.ou.edu/~hougen/. Thanks! Dean -- Dean F. Hougen Associate Director and Associate Professor School of Computer Science Gallogly College of Engineering University of Oklahoma he/him/his -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OU CS Hougen Postdoctoral Research Associate Needed.pdf Type: application/pdf Size: 191363 bytes Desc: OU CS Hougen Postdoctoral Research Associate Needed.pdf URL: From xiaochun.cheng at gmail.com Sat Sep 18 04:36:16 2021 From: xiaochun.cheng at gmail.com (Xiaochun Cheng) Date: Sat, 18 Sep 2021 09:36:16 +0100 Subject: Connectionists: CFP: Intelligent Signal Processing for Complex Industrial Systems Message-ID: <001001d7ac68$400fea00$c02fbe00$@gmail.com> Intelligent Signal Processing for Complex Industrial Systems Manuscript submission deadline: 28 October, 2021 https://www.springer.com/journal/11265/updates/19221334 Journal of Signal Processing Systems, ISSN 1939-8018 https://www.springer.com/journal/11265 Submissions site: https://www.editorialmanager.com/vlsi/default.aspx -------------- next part -------------- An HTML attachment was scrubbed... URL: From pattichi at ucy.ac.cy Sat Sep 18 11:26:26 2021 From: pattichi at ucy.ac.cy (Constantinos Pattichis) Date: Sat, 18 Sep 2021 18:26:26 +0300 Subject: Connectionists: [CAIP2021] CAIP 2021 - Sept. 27-30, Final Program Message-ID: Dear Colleagues We would like to inform you that CAIP 2021 will be held as a VIRTUAL CONFERENCE. Please visit the conference website *http://cyprusconferences.org/caip2021/ * *to download the FINAL PROGRAM* that features: *28 ? 30 September, Main Conference Event* *- 87 paper presentation organized under 15 Sessions- Keynote Lectures Session 1: Deep Learning and Pattern Analysis- Keynote Lectures Session 2: CYENS Centre of Excellence Keynote Session on Image and Pattern Analysis for Emerging Technologies- Keynote Lectures Session 3: Industry Challenges in Meeting Emerging Markets in Image and Video Analysis- Contest on Guess The Age: Age Estimation From Facial Images with Deep Convolutional Neural Networks* *27 September, Tutorials* *- Tutorial 1: Discovering Patterns in the Road from Genotype to Phenotype- Tutorial 2: Video Summarization for Unpaired Videos- Tutorial 3: Large Scale Video Analytics.* *Keynote Lectures and Tutorials will be broadcasted for interested colleagues to watch* (please visit the conference website for further info). *Moreover, students can be enrolled for free* *to follow keynote lectures, tutorials and **conference paper presentations* (please visit the conference website for further info). Open Access and free student registration were made possible with the kind support of the main organiser, CYENS Centre of Excellence and co-organiser, the University of Cyprus. You are ALL WELCOME and we look forward to meeting you all virtually during this exciting and memorable event! *General Chairs* Constantinos S. Pattichis, CYENS & University of Cyprus, Cyprus Andreas Lanitis, CYENS & Cyprus University of Technology, Cyprus Nicolai Petkov, Univ. of Groningen, Netherlands *Program Co-Chairs * Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus Andreas Panayides, University of Cyprus, Cyprus Theo Theocharides, KIOS & University of Cyprus, Cyprus Mario Vento, University of Salerno, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- _______________________________________________ CAIP2021 mailing list CAIP2021 at cs.ucy.ac.cy https://listserv.cs.ucy.ac.cy/mailman/listinfo/caip2021 From bogdanlapi at gmail.com Sat Sep 18 17:01:50 2021 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Sun, 19 Sep 2021 00:01:50 +0300 Subject: Connectionists: 1st Call-for-Participation & data release: MediaEval 2021 Predicting Video Memorability Task Message-ID: [Apologies for cross-postings] ******************************************************* 1st CALL FOR PARTICIPATION & DEVELOPMENT DATA RELEASE Predicting Video Memorability Task 2021 MediaEval Benchmarking Initiative for Multimedia Evaluation https://multimediaeval.github.io/editions/2021/tasks/memorability/ ******************************************************* Register to participate by filling in the MediaEval 2021 Registration form: https://docs.google.com/forms/d/e/1FAIpQLSchIcIaSlM1fNeWGCSoSBMR6HS48HKMhWEY151vvCmb5KhO-w/viewform ******************************************************* Annotations: https://annotator.uk/mediaeval/index.php ******************************************************* The Predicting Video Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered. Participants will be provided with an extensive dataset of videos with memorability annotations, and pre-extracted state-of-the-art visual features. The ground truth has been collected through recognition tests, and, for this reason, reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorisation, the dataset comes with short-term and long-term memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorisation, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications. ******************************************************* Video-based prediction task ******************************************************* Participants will be required to train computational models capable of inferring video memorability from visual content. Optionally, descriptive titles attached to the videos may be used. Models will be evaluated through standard evaluation metrics used in ranking tasks. ******************************************************* Generalization task (optional) ******************************************************* The aim of the Generalization subtask is to check system performance on other types of video data. Participants will use their systems, trained on one of the two sources of data we propose, to predict the memorability of videos from the testing set of the other source of data. We believe this would provide interesting insights into the performance of the developed systems, given that, while the two sources of data measure memorability in a similar way, the videos may be somewhat different with regards to their content, general subjects or length. As this will be an optional task, participants are not required to participate in it. ******************************************************* Pilot demonstration task (pilot) ******************************************************* The aim of the Memorability-EEG pilot task is to promote interest in the use of neural signals?either alone, or in combination with other data sources?in the context of predicting video memorability by demonstrating what EEG data can provide. The dataset will be a set of features pre-extracted from the EEG for a subset of videos from task 1. This demonstration pilot will enable interested researchers to see how they could use neural signals without any of the requisite domain knowledge in a future Memorability task, potentially increasing interdisciplinary interest in the subject of memorability, and opening the door to novel EEG-computer vision combined approaches to predicting video memorability. Pre-selected participants in this pilot demonstration will use the dataset to explore all manners of machine learning and processing strategies to predict video memorability. This will lead to a presentation on their findings, which will ultimately contribute towards the collaborative definition of a fully-fledged task at MediaEval 2022, where participating teams will submit runs and be benchmarked. *********************** Target communities *********************** Researchers will find this task interesting if they work in the areas of human perception and scene understanding, such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, machine learning (though not limited to). *********************** Data *********************** The first dataset is composed of a subset of 6,000 short videos retrieved from TRECVid 2019 Video to Text dataset [1]. Each video consists of a coherent unit in terms of meaning and is associated with two scores of memorability that refer to its probability to be remembered after two different durations of memory retention. Similar to previous editions of the task [2], memorability has been measured using recognition tests, i.e., through an objective measure, a few minutes after the memorisation of the videos (short term), and then 24 to 72 hours later (long term). The videos are shared under Creative Commons licenses that allow their redistribution. They come with a set of pre-extracted features, such as: Histograms in the HSV and RGB spaces, HOG, LBP, and deep features extracted from AlexNet, VGG and C3D. In comparison to the videos used for this task in 2018 and 2019, the TRECVid videos have much more action happening in them and thus are more interesting for subjects to view. Additionally, we will open the Memento10k dataset to participants. This dataset contains 10.000 three-second videos depicting in-the-wild scenes, with their associated short term memorability scores, memorability decay values, action labels, and 5 accompanying captions. 7000 videos will be released as a training set, and 1500 will be given for validation. The last 1500 videos will be used as the test set for scoring submissions. The scores are computed with 90 annotations per video on average, and the videos were deafened before being shown to participants. We will also distribute a set of features for each video analogous to the Trecvid set. *********************** Annotations *********************** We need more annotations for the dataset. We kindly ask for your help to get more annotations. Please visit the link (https://annotator.uk/mediaeval/index.php) and participate in the funny game to contribute to the dataset and get familiar with the data. Thanks in advance for your contribution ****************************** Workshop ****************************** Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held in Bergen, Norway with opportunity for online, on 6-8 December 2021. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org). ****************************** Important dates (tentative) ****************************** (open) Participant registration: July Data release: 15 September Runs due: 11 November Working notes papers due: 22 November MediaEval Workshop: 6-8 December, in Bergen, Norway with opportunity for online participation *********************** Task coordination *********************** Alba Garc?a Seco de Herrera, , University of Essex, UK Rukiye Savran Kiziltepe, , University of Essex, UK Mihai Gabriel Constantin, , University Politehnica of Bucharest, Romania Bogdan Ionescu, University Politehnica of Bucharest, Romania Alan Smeaton, Graham Healy, Dublin City University, Ireland Claire-H?l?ne Demarty, InterDigital, R&I, France Sebastian Halder, University of Essex, UK Ana Matr?n-Fern?ndez, University of Essex, UK Camilo Fosco, Massachusetts Institute of Technology Cambridge, Massachusetts, USA Lorin Sweeney, Dublin City University, Ireland Graham Healy, Dublin City University, Ireland On behalf of the organizers, Bogdan Ionescu https://www.AIMultimediaLab.ro/ From shyam at amrita.edu Sat Sep 18 16:48:36 2021 From: shyam at amrita.edu (Shyam Diwakar) Date: Sun, 19 Sep 2021 02:18:36 +0530 Subject: Connectionists: CFP - Annual Conference of Cognitive Science (ACCS8) - Jan 20--22, 2022, India Message-ID: Dear All, As the local organizer, it is our pleasure to invite you to participate at ACCS8. Here's more details. ACCS8: Call for contributions 8th Annual Conference of Cognitive Science (ACCS8) Amrita University, India ? 20 ? 22 January 2022 https://www.amrita.edu/accs8 The 8th edition of ACCS, to be hosted by Amrita Vishwa Vidyapeetham (Amrita University), Kollam, India will be held virtually. List of our invited speakers, TPC and other info will soon be made available at https://www.amrita.edu/event/accs8 CONFERENCE TOPICS Like in our previous years, the ACCS8 conference is open to all topics with Cognitive Science as a discipline, and in various areas of study, including Neuroscience, Artificial Intelligence, Linguistics, Skilling, Medicine, Anthropology, Psychology, Philosophy, and Education. SUBMISSION GUIDELINES We welcome submissions from all areas of cognitive science and from anyone worldwide. For the 2022 online event, we are accepting only abstracts containing the salient details of your study. Please copy and paste the title and abstract into the submission form. Contribution size limit for the abstract is 1000 words. We are not accepting any paper-length submissions this year, so do include all relevant details in the abstract itself. A small number of abstracts will be selected for oral presentations/talks. Submission link: https://easychair.org/conferences/?conf=accs8 For CFP: https://easychair.org/cfp/accs8 IMPORTANT DATES Abstract registration deadline November 25, 2021 Submission deadline November 25, 2021 BEST PAPER AWARDS We are planning some best poster and oral presentations. Please stay tuned. CONTACT All questions about submissions should be emailed to accs8conference at gmail.com Previous ACCS events - https://www.amrita.edu/event/accs8/about With best regards, Shyam Diwakar -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803116 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://docs.google.com/uc?export=download&id=1_nOxaCXob6wVcuQyYI5KVk1PhMgihY8c&revid=0B234NYNYmh7xckREQjc2T3pPdUh5UGdXaytOUGlRcXFzcVFFPQ] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer : The information transmitted in this email, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita Vishwa Vidyapeetham. If you received this in error, please contact the sender and destroy any copies of this information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Sun Sep 19 01:37:36 2021 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Sun, 19 Sep 2021 07:37:36 +0200 Subject: Connectionists: New "Developing Minds" global online lecture series; September 30: Pierre-Yves Oudeyer Message-ID: <4E907C97-BDEC-4F85-B328-A045FBB9BAF4@fias.uni-frankfurt.de> What: New bi-monthly "Developing Minds" global online lecture series; inaugural lecture by Pierre-Yves Oudeyer, INRIA, Bordeaux Sud-Ouest, France on "Developmental AI: machines that learn like children and help children learn better" When: Thursday, September 30, 13:00 UTC Where: online via zoom; please register at: https://sites.google.com/view/developing-minds-series Background: In 1950, Alan Turing asked "Instead of trying to produce a programme to simulate the adult mind, why not rather try to produce one which simulates the child's?" Today, over 70 years later, constructing a computer program that can learn like a child and that develops a human-like general intelligence is still considered a grand, if not the ultimate, challenge for artificial intelligence (AI). An interdisciplinary community of scientists from AI, Cognitive Science, Psychology, Engineering, and Neuroscience are tackling this grand challenge. In the Developing Minds global lecture series we showcase the progress being made. It is organized by the IEEE Technical Committee on Cognitive and Developmental Systems of the IEEE Computational Intelligence Society. The inaugural lecture by Pierre-Yves Oudeyer is entitled: "Developmental AI: machines that learn like children and help children learn better" Abstract: Current approaches to AI and machine learning are still fundamentally limited in comparison with the amazing learning capabilities of children. What is remarkable is not that some children become world champions in certains games or specialties: it is rather their autonomy, open-endedness, flexibility and efficiency at learning many everyday skills under strongly limited resources of time, computation and energy. And they do not need the intervention of an engineer for each new task (e.g. they do not need someone to provide a new task specific reward function or representation). I will present a research program, which I call Developmental AI, that studies models of open-ended development and learning. These models are used as tools to help us understand better how children learn, as well as to build machines that learn like children with applications in educational technologies, automated discovery, robotics and human-computer interaction. I will ground this research program into several fundamental ideas proposed by developmental psychologists: 1) the child is autotelic, setting its own goals and spontaneously exploring the world like a curious little scientist (e.g. Piaget, Berlyne); 2) intelligence develops in a social context, where language and culture are internalized to become cognitive tools (e.g. Vygostky and Bruner); 3) intelligence is embodied and develops through self-organization of the dynamical system formed by the brain-body-environment interactions (e.g. Thelen and Smith). I will show how, together with many colleagues and students, we have worked on operationalizing these ideas in computer and robotic models, and explain how this has enabled to advance child development understanding, open new possibilities for AI systems (including for recent language-guided intrinsically motivated Deep RL systems and for training more classical Deep RL systems to foster generalization), and led to applications now used by thousands of children in the world to help them learn (educational technologies). Speaker Bio: Dr. Pierre-Yves Oudeyer has been Research Director at Inria, France, and head of the Flowers lab (Inria, Univ. Bordeaux, Ensta ParisTech). Before, he has been a permanent researcher in Sony Computer Science Laboratory for 8 years (1999-2007). He studies models of open-ended development and learning, at the frontiers of AI and cognitive sciences. These models are used as tools to help us understand better how children learn, as well as to build machines that learn like children within the field of developmental artificial intelligence. He has been developing models of intrinsically motivated learning, pioneering curiosity-driven learning algorithms working in real world robots, and developed theoretical frameworks to understand better human curiosity and autonomous learning. He also studied mechanisms enabling machines and humans to discover, invent, learn and evolve language. He is also working on applications in educational technologies, automated discovery, video games, robotics and human-computer interaction. He received several prizes for his work in developmental AI and on the origins of language. In particular, he is laureate of the Inria-National Academy of Science young researcher prize in computer sciences, and of an ERC Starting Grant EXPLORERS. Finally, he is also working actively for the diffusion of science towards the general public, through the writing of popular science articles and participation to radio and TV programs as well as science exhibitions. Web: http://www.pyoudeyer.com and http://flowers.inria.fr Upcoming speakers: Linda B. Smith, Indiana University Joshua B. Tenenbaum, MIT Please visit https://sites.google.com/view/developing-minds-series/home for up-to-date information. -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From benabbessarra at gmail.com Mon Sep 20 04:12:49 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Mon, 20 Sep 2021 10:12:49 +0200 Subject: Connectionists: [CFP] 1st International Workshop on Deep Learning for Question Answering @ KGSWC 2021 Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 1st International workshop on "Deep Learning for Question Answering" which will be held online - November 19-24, 2021. *DLQA: **Deep Learning for Question Answering* 1st International Workshop, in conjunction with KGSWC 2021 November 19- 24, 2021 - Online *https://kgswc.org/iwdlq2021/ * *Important dates:* ? Workshop paper submission due: October 01, 2021 ? Workshop paper notifications: October 23, 2021 ? Workshop paper camera-ready versions due: November 02, 2021 ? Workshop: November 19-24, 2021 (half-day) All deadlines are 23:59 anywhere on earth (UTC-12). *Context of the workshop:* Question Answering System (QAS) is an important area in Artificial Intelligence. Generating automatic response is a fastidious and time-consuming task for there exists only some very general approaches to understand the intent of users. Question Answering (QA) is applied in many domain applications such as medical, finance, e-commerce, etc. Given a list of documents, a QAS can provide the right answer to the query pose in natural language. It combines natural language processing (NLP), information retrieval (IR) and knowledge representation and reasoning (KRR) as a relevant component for this process. The general process of QA is composed of different steps: (i) user query, (ii) question analysis (simple or complex query, open or closed domain, linguistic layer, semantic layer, etc), (iii) answer retrieval, and (iv) answer extraction from a set of candidate ones. All these steps are important to answer correctly, precisely and briefly to the user native language question. The answer can refer to a term, a sentence, an image, an audio, a video or to the full textual document. Recent Deep Learning approaches and information retrieval are implemented in order to reason over the questions and its links with the corresponding response. Modern NLP techniques make it possible for computers to read and interpret text, hear and understand speech, measure sentiment, and determine which parts in a document are important. Another important aspect of QAS is the integration of knowledge graphs (KGs) as a new dimension to provide a concise answer issued from the KG. KG is graph-based data model that structure and store real-world entities (abstract concepts) and their relationships (hierarchical and associative) in a graph. The KG is the most suitable and beneficial way to solve many challenging problems related to information domain. *Objective:* The first edition of this workshop aims at highlighting recent and future advances on question answering systems over structured semantic and unstructured textual data and to demonstrate the role of deep learning algorithms to enrich this process. In addition to that, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in Question Answering approaches. *Topics of interests*: ? Question answering over Linked Data ? Knowledge Graphs for Question Answering ? Complex Question Answering over texts and linked data ? Reasoning for Complex Question Answering ? Natural Language Processing based question answering ? Hybrid text and knowledge graph reasoning ? SPARQL query pattern generation ? Natural language querying of RDF exposed as Linked Data ? Ontology-based query answering ? Visual Question Answering ? Image question answering ? Audio and Speech Question Answering ? Video Question Answering ? Datasets combining structured and unstructured knowledge ? Applications of question answering ? and so on. *Submission:* The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions are not anonymous and must be PDF documents written in English and formatted using the following style files: KGSWC2021_authors_kit Papers are to be submitted through the workshop's *EasyChair * submission page. We welcome the following types of contributions: - *Full papers* (9-12 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics. - *Short papers* (6-8 pages): Ongoing works with relevant preliminary results, opened to discussion. Accepted papers are planned to publish with Springer Proceeding (Approval Pending). At least one author of each accepted paper must register for the workshop, in order to present the paper. For further instructions, please refer to the *KGSWC 2021 * page. *Workshop chairs:*Sarra Ben Abb?s, Engie, France Rim Hantach, Engie, France Philippe Calvez, Engie, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Mon Sep 20 04:19:08 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Mon, 20 Sep 2021 10:19:08 +0200 Subject: Connectionists: [CFP] First International Workshop on Joint Use of Probabilistic Graphical Models and Ontology @KGSWC 2021 Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 1st International workshop on "Joint Use of Probabilistic Graphical Models and Ontology" which will be held online - November 19-24, 2021. *PGMOnto: * *Joint Use of Probabilistic Graphical Models and Ontology* 1st International Workshop, in conjunction with KGSWC 2021 November 19- 24, 2021 - Online https://kgswc.org/pgmonto2021/ *Important dates:* ? Workshop paper submission due: *October 01, 2021* ? Workshop paper notifications: October 23, 2021 ? Workshop paper camera-ready versions due: November 02, 2021 ? Workshop: November 19-24, 2021 (half-day) All deadlines are 23:59 anywhere on earth (UTC-12). *Context of the workshop:* An ontology is well known to be the best way to represent knowledge in a domain of discourse. It is defined by Gruber as ?an explicit specification of a conceptualization?. It allows to represent explicitly and formally existing entities, their relationships, and their constraints in an application domain. This representation is the most suitable and beneficial way to resolve many challenging problems related to the information domain (e.g., semantic interoperability among systems, knowledge sharing, and knowledge capitalization). Ontology formalization can be based on First order logic (FOL) to describe concepts, relationships, and constraints, enabling it to make inferences and giving it a graphical representation. Using ontology has many advantages, among them we can cite ontology reusing, reasoning and explanation, commitment, and agreement on a domain of discourse, ontology evolution and mapping, etc. Over the last three decades, graphical probabilistic models (PGMs) have enjoyed a surge of interest as a practically feasible framework of expert knowledge encoding and as a new comprehensive data analysis framework. Probabilistic graphical models (PGMs) such as Bayesian network, influence diagram or probabilistic relational model are considered as one of the most successful tools that enable a compact representation of complex systems and the increased ability to effectively learn and perform inference in large networks. Besides the compact representation of probability, PGMs are also intuitively easier for a human to understand than joint probabilities because they highlight the direct dependencies between random variables and their overall semantics is easily captured visually through their graphical representation. In practice, the combination of PGMs and ontologies might be beneficial to have high expressiveness and reasoning possibilities under uncertainty. Despite the difference between these two domain representation models, they have the potential to complement each other: part of the value of ontology baseline knowledge may be used to enhance PGM by resolving challenging tasks: (i) the identification of relevant variables (variable selection), (ii) the determination of structural relationships between the considered variables (arcs), and (iii) the estimation of parameters associated to the model. Once the PGM is learned, its results can be used together with an ontology reasoning engine to perform probabilistic inference. This first regular workshop aims at demonstrating recent and future advances in Semantic Probabilistic Graphical Models and Probabilistic Ontologies. Moreover, this workshop offers an invaluable opportunity to boost collaboration and conversation between Industrial Experts and academic researchers, allowing therefore exchanging ideas and presenting results of on-going research in structured knowledge and causality approaches. *Objective:* We invite submission of papers describing innovative research and applications around the following topics. Papers that introduce new theoretical concepts or methods, help to develop a better understanding of new emerging concepts through extensive experiments, or demonstrate a novel application of these methods to a domain are encouraged. *Topics of interests*: - Construction of probabilistic ontologies - Construction of semantic probabilistic graphical model - Semantic causality and probability - Causality and ontology - PGM for ontology mapping - PGM learning - Ontology for PGM construction - Probabilistic inference engine - Tools, systems and applications - and so on. *Submission:* The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions are not anonymous and must be PDF documents written in English and formatted using the following style files: KGSWC2021_authors_kit Papers are to be submitted through the workshop's *EasyChair * submission page. We welcome the following types of contributions: - *Full papers* (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics. - *Short papers* (6-8 pages): Ongoing works with relevant preliminary results, opened to discussion. Accepted papers are planned to publish with Springer Proceeding (Approval Pending) At least one author of each accepted paper must register for the workshop, in order to present the paper. For further instructions, please refer to the *KGSWC 2021 * page. *Workshop chairs:* Sarra Ben Abb?s, Engie, France Ahmed Mabrouk, Engie, France Lynda Temal, Engie, France Philippe Calvez, Engie, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From sigurd.lokse at uit.no Mon Sep 20 04:14:45 2021 From: sigurd.lokse at uit.no (=?utf-8?B?U2lndXJkIEVpdmluZHNvbiBMw7hrc2U=?=) Date: Mon, 20 Sep 2021 08:14:45 +0000 Subject: Connectionists: =?utf-8?q?3rd_Call_for_Contributions=3A_5th_North?= =?utf-8?q?ern_Lights_Deep_Learning_Conference=2C_10-12_January_2022=2C_Tr?= =?utf-8?b?b21zw7ggKCJOb3J0aCBQb2xlIiksIE5vcndheS4=?= Message-ID: N.B. Submission deadline October 15th. ----------------------------------------------------- Following tradition, we are organizing the 5th Northern Lights Deep Learning Conference (NLDL) on 10-12 January 2022 in Troms?, Norway. We invite submissions presenting new and original research on all aspects of Deep Learning. The topics include but are not limited to the following: * Architecture, concepts and optimization * Deep learning for structured and unstructured data * Graph neural networks * Generative models * Bayesian Deep Learning * Lightweight / frugal Deep Learning * Explainability and interpretability of Deep Learning models * Computer vision * Natural language processing * Deep Learning for signals, images, 3D and hyperspectral images * Deep Learning applications to biology and medicine * Deep Learning application to environment and ecology * Deep Learning applications to Physics * Deep Learning for industrial applications On the 10th of January, a mini deep learning school in form of tutorials will be held, followed by the main conference on the 11th and 12th. Please see http://www.nldl.org for more information. As always, we are happy to have top international speakers. This year, for instance * Serge Belongie from Cornell University and Copenhagen University * Zeynep Akata from the University of T?bingen and Max Planck Institute for Informatics * Sophia Ananiadou from the University of Manchester * Pierre Baldi from the University of California, Irvine and more to come. We are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and will be published in the conference proceedings**; (2) Extended abstracts (2 pages) will be presented either as orals or as posters (but not published in the conference proceedings). The review process is double-blind. Deadline for both types of submissions: October 15th, 2021. Instructions on template etc. can be found on http://www.nldl.org. We hope to see many participants for a nice scientific gathering on the "north pole", including social events, and hopefully some northern lights ? ** The Proceedings of NLDL are approved as a level 1 publication in the Norwegian national list of authorized research publication channels. Kind regards, The NLDL 2022 organizing committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From elmead at ualr.edu Mon Sep 20 23:51:41 2021 From: elmead at ualr.edu (Esther Mead) Date: Mon, 20 Sep 2021 22:51:41 -0500 Subject: Connectionists: CFP DEVIANCE 2021 Workshop on Deviant Activities on Social Media Co-located with 2021 IEEE Conference on Big Data (IEEE BigData 2021) December 15-18, 2021 Message-ID: DEVIANCE 2021 Workshop on Deviant Activities on Social Media Co-located with 2021 IEEE Conference on Big Data (IEEE BigData 2021) December 15-18, 2021 (due to COVID-19 the workshop will be held virtually) Website: http://cosmos.ualr.edu/workshops/deviance/2021/ Introduction: With the proliferation of smart devices, mobile applications, and social network platforms, the social side effects of these technologies have become more profound, especially in social and political disintegration. Several journalistic and academic investigations have reported that modern communication platforms such as social media (e.g., Twitter, Facebook, blogs, YouTube, and the ?deep web? channels) are strategically used to coordinate various deviant activities such as cyber propaganda campaigns. Several researchers have studied these deviant activities and identified various tactics, techniques, and procedures used by various online deviant groups, e.g., online propagandist groups,terrorist groups sympathizers, black-hat hacker groups, and internet trolls. Various social media platforms utilized the research findings to detect and curb some of these deviant activities. However, the techniques that are used by the aforementioned deviant groups evolve and adapt to go on undetected. This is a growing problem on social media that needs to be explored and solved. In this workshop, our aim is to have a scientific discussion among the experts who study deviant activities on social media, including but not limited to, detection of deviant/disruptive behaviors on social media; misinformation detection, identification, and dissemination; case studies of misinformation; etc. This includes, but is not limited to, the following topics: Research Topics: - Misinformation detection - Misinformation dissemination tactics such as misdirection, hashtag-latching, smoke screening - Multiple platform orchestration (cross-platform dissemination strategies) - Algorithmic manipulation such as exploiting recommendation algorithm bias manipulation - Deviant behaviors on social media platforms such as cyber bullying, organized hacking - Spamming, spear phishing through social media channels - Coordination strategies and detection - Mobs such as cyber flash mobs, smart mobs, deviant cyber flash mobs, automated deviant mobs - Coordinated inauthentic behaviors - Machine driven communications (bots, botnets, social bots, etc.) - Troll detection and strategies - Hate speech (toxic, polarizing, or disruptive content) - Narratives analysis during misinformation online campaigns - Stance detection and intent classification - Policy implications **In the light of recent elections worldwide, the COVID-19 pandemic, and covid-related deviant behaviors such as anti-lockdown campaigns, vaccine hesitancy, etc., we also solicit papers focused on disinformation and misinformation being disseminated related to these events.** Important Dates: Submission Deadline: October 1st, 2021 Notification to Authors: October 29, 2021 Camera Ready Due: November 12, 2021 Venue Information: Due to the current COVID-19 pandemic, it is decided that the IEEE BigData conference and the DEVIANCE 2021 Workshop will be held virtually. Further information will be provided closer to the workshop. Submission: Full paper manuscripts must be in English with a maximum length of 10 pages (using the IEEE two-column template). Submissions should be in PDF and include the title, author(s), affiliation(s), e-mail address(es) and abstract on the first page. Workshop papers can be submitted through the submission portal . Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines . All papers accepted for the workshop will be included in the Conference Proceedings published by the IEEE Computer Society Press. Special Issue: Selected presentations will be invited to submit extended studies to Springer?s Social Network Analysis and Mining (SNAM) special issue on Deviant Behaviors on Social Media . Workshop Chairs: Esther Ledelle Mead Postdoctoral Research Fellow, COSMOS Center, UA Little Rock elmead at ualr.edu Muhammad Nihal Hussain Lead Data Scientist, Equifax Inc. mnhussain at ualr.edu Kiran Kumar Bandeli Data Scientist, Walmart Inc. KiranKumar.Bandeli at walmart.com Samer Al-khateeb Assistant Professor, Creighton University SamerAl-Khateeb1 at creighton.edu Nitin Agarwal Jerry L. Maulden-Entergy Chair & Distinguished Professor Director, COSMOS Center, UA Little Rock nxagarwal at ualr.edu Web Chair: Thomas Marcoux Computer & Information Science PhD candidate - COSMOS Center, UA Little Rock txmarcoux at ualr.edu -- Esther Ledelle Mead, PhD Postdoctoral Research Fellow, Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) Information Science, College of Engineering and Information Technology University of Arkansas at Little Rock -------------- next part -------------- An HTML attachment was scrubbed... URL: From henry.evrard at tuebingen.mpg.de Tue Sep 21 04:18:21 2021 From: henry.evrard at tuebingen.mpg.de (Evrard, Henry) Date: Tue, 21 Sep 2021 08:18:21 +0000 Subject: Connectionists: Postdoc in Interoception (body-brain), ICPBR, Shanghai Message-ID: <39D22CBD-211C-4967-B494-526589CF0D87@tuebingen.mpg.de> Postdoctoral Positions in Interoception Dynamic Embodied Brain Laboratory (DEB Lab), International Center for Primate Brain Research (ICPBR), Shanghai The ICPBR, directed by Nikos Logothetis and Mu-Ming Poo, is a newly established world-class primate brain research institution, affiliated with the Center for Excellence in Brain Science and Intelligence Technology (CEBSIT; http://english.cebsit.cas.cn/). Within the ICPBR, the DEB Lab combines multiple experimental approaches in hon-human primates (single cell recording, architectonics and tract tracing, simultaneous ePhys and fMRI, behavior) in order to examine the neuroanatomical and functional organization of peripheral and central pathways interfacing bodily states with brain network dynamics and correlates of high-order brain functions. To complete its multidisciplinary team, the DEB Lab is recruiting postdoctoral research fellows with an expertise in either of the following fields: 1. PhD in Neuroscience or related, with experience in Patch-Clamp Recordings. 2. PhD in Neuroscience or related, with experience in in vivo electrophysiology (prior non-human primate research experience being favorable but not requested). 3. PhD in Physics, Machine Learning or related, with experience in multivariate data analysis and computational modelling/deep learning (Matlab/Python/R). 4. PhD in Psychology, Neuroethology or related, with experience in primate behavior analysis. To get more information: Henry.Evrard at tuebingen.mpg.de. -------------- next part -------------- An HTML attachment was scrubbed... URL: From confaiforpeople at gmail.com Tue Sep 21 04:50:09 2021 From: confaiforpeople at gmail.com (Conf. AI for People) Date: Tue, 21 Sep 2021 01:50:09 -0700 Subject: Connectionists: =?utf-8?q?CFP=3A_Last_Call_for_papers_for_the_Int?= =?utf-8?q?ernational_Conference_=E2=80=9CAI_for_People=3A_Towards_?= =?utf-8?b?U3VzdGFpbmFibGUgQUnigJ0gKENBSVDigJkyMSk=?= Message-ID: Dear Colleague, we are writing to you as we understand you may be interested in this year?s edition of the International Conference ?AI for People: Towards Sustainable AI? (CAIP?21). Below you will find the official Call for Full papers. Please feel free to distribute it to mailing lists you manage and to everybody who may be interested. Thank you and we hope to see you in CAIP?21! Follow us at: http://aiforpeople.org/conference https://www.linkedin.com/company/19176054/ https://www.facebook.com/aiforpeople https://twitter.com/AIforPeople https://www.instagram.com/ai_for_people/ ------------------------------------------------ International Conference ?AI for People: Towards Sustainable AI? (CAIP?21) November 20-24, 2021 Call for Full Papers https://aiforpeople.org/conference/cfp.php Please distribute (Apologies for cross-posting) If you wish to receive more information about CAIP?21 https://mailchi.mp/281085ba7b4b/caip21 ------------------------------------------------ The International Conference ?AI for People: Towards Sustainable AI? was born out of the idea of shaping Artificial Intelligence technology around human and societal needs. While Artificial Intelligence (AI) can be a beneficial tool, its development and its deployment impact society and the environment in ways that need to be thoroughly addressed and confronted. This year?s edition will focus on Sustainable AI, covering different aspects of social development, environmental protection, and economic growth applied in the design and deployment of AI systems. The conference will provide its participants with opportunities to gain a better understanding of the major challenges of utilizing AI for the societal good. Additionally, it should serve as an incubator for interdisciplinary communities that share a research agenda to exchange and discuss ideas related to the design and application of Sustainable AI. Here, Sustainable AI is a movement to foster change towards greater ecological integrity and social justice in the entire life cycle of AI systems. *** Themes and Topics *** The conference will be interdisciplinary and it welcomes contributions from different disciplines, spanning from computer science, the social sciences, and the humanities. Possible topics include but are not limited to: - AI applications for the social good and towards sustainable development goals - Ethics of Artificial Intelligence - Sustainable AI for Smart Cities - Policy recommendations for Sustainable AI - Green AI for environmental protection - Accuracy and Robustness of AI systems - Bias and Fairness in AI Systems - Privacy and Accountability in AI Systems - Safety and Security in AI Systems - Explainability and Transparency in AI Systems *** Important Dates *** Submission deadline: October 1st, 2021 Notification: November 1st, 2021 Camera-ready: November 6th, 2021 Conference Days: November 20-24, 2021 *** EAI Proceedings *** Conference proceedings will be published in the EAI CORE Proceedings and included in the European Digital Library (EUDL) and will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP. *** Organising Committee *** The International Conference on ?AI for People: Towards Sustainable AI? is organized by the nonprofit international organization ?AI for People? (aiforpeople.org). - General Chairs: Marta Ziosi (Oxford Internet Institute, University Oxford), Philipp Wicke (University College, Dublin) and Jo?o Miguel Cunha (University of Coimbra), Angelo Trotta (University of Bologna) - Program Chairs: Lea Buchhorn (Leiden University) and Vincenzo Lomonaco (University of Pisa) - Finance Chair: Aina Turillazzi (Tilburg University) - Publication Chair: Angelo Trotta (University of Bologna) - Technical Program Committee: Kevin Trebing (Plan D GmbH) and Gabriele Graffieti (University of Bologna) CAIP'21 is technically sponsored by: EAI. CAIP'21 is supported by: EurAI. From lfbaa at di.ubi.pt Tue Sep 21 07:43:13 2021 From: lfbaa at di.ubi.pt (=?UTF-8?Q?Lu=C3=ADs_Alexandre?=) Date: Tue, 21 Sep 2021 12:43:13 +0100 (WEST) Subject: Connectionists: Post-doc position (UBI, Portugal), project GreenStamp Message-ID: We are looking for a highly motivated candidate for a post-doc position in machine learning for the analysis, conceptualization, implementation and evaluation of machine learning approaches for the recognition of mobile apps' energy consumption patterns, and generation of recommendations to stakeholders. The work in this grant consists, on a first stage, on the requirement analysis of: 1) machine learning mechanisms for categorizing energy consumption of mobile apps, and 2) recommendation systems for stakeholders. At a second stage, the work will focus the research, conceptualization, implementation and evaluation of machine learning approaches for the recognition of mobile apps' energy consumption patterns, its cataloging and the production of recommendations to stakeholders. The grantee will also participate in the remaining UBI tasks in the GreenStamp project (participate in meetings, write scientific papers, write reports, etc.). The project is lead by Aptoid, an alternative app store for Android with more than 1 million apps and over 4000 million downloads up to 2017, and as such, the work will have access to real world data, which is hard to find for this type of problem. Salary is 2100 ? / month plus insurance (this is a very good salary for the living costs in Portugal). The position is for a maximum of 22 months. The applications (via email) are open until September 24th, 2021. I will be the supervisor. Please contact me at luis.alexandre at ubi.pt for further details. You can also check the official call here: https://www.euraxess.pt/jobs/683431 Regards, Luis From jbaimon at sandia.gov Tue Sep 21 09:30:08 2021 From: jbaimon at sandia.gov (Aimone, James Bradley) Date: Tue, 21 Sep 2021 13:30:08 +0000 Subject: Connectionists: Abstract submission open for NICE 2022! Message-ID: Hi, The call for papers is open for NICE 2022! We are planning a hybrid event March 28-April 1, with the in person meeting at University of Texas San Antonio and an online option. The NICE Conference aims to include cutting edge work in neuromorphic computing architectures and hardware, applications of neural computing, neural algorithms and machine learning, and theoretical and computational neuroscience with a goal of influencing computing. We seek submissions from any of these areas describing new and impactful results in these areas. Submissions accepted for talks will have the option of being included in the 2022 NICE proceedings, which will be published in the ACM International Conference Proceedings Series. We accept both full length papers (8-10 pages) and extended abstracts (2 pages). Due Dates: Abstract / Paper Due Date: November 30th, 2021 Acceptance Decisions: January 20th, 2022 Camera Ready Papers Due: February 15th, 2022 The call for papers can be found here: https://easychair.org/cfp/nice2022 We look forward to seeing you at NICE 2022! Brad Aimone & the 2022 NICE Program Committee -------------------------- James Bradley Aimone, Ph.D. Cognitive and Emerging Computing Department Center for Computing Research Sandia National Laboratories -------------- next part -------------- An HTML attachment was scrubbed... URL: From marwen.belkaid at iit.it Tue Sep 21 08:59:26 2021 From: marwen.belkaid at iit.it (marwen Belkaid) Date: Tue, 21 Sep 2021 14:59:26 +0200 Subject: Connectionists: =?utf-8?q?Register_for_IROS_2021_workshop_=22Huma?= =?utf-8?q?n-like_Behavior_and_Cognition_in_Robots=E2=80=9D?= Message-ID: Dear colleagues, We are organizing a workshop on "Human-like Behavior and Cognition in Robots? at IROS 2021 on Friday 1 October. The program of this full-day event is available here: https://sites.google.com/view/hbcr-workshop-2021/program Note that paid registration for IROS is only needed for the Panel discussion taking place on the IROS gCon platform between 14:00 and 16:00 CEST. The rest of the workshop will be held on Gather and is free (limited capacity). Register here to get access: https://forms.office.com/r/Hnvzav0AEX Best regards, Marwen -- Dr Marwen BELKAID Istituto Italiano di Tecnologia Center for Human Technologies Via Enrico Melen, 83 16152 Genoa, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From timvogels at gmail.com Wed Sep 22 02:44:09 2021 From: timvogels at gmail.com (Tim Vogels) Date: Wed, 22 Sep 2021 08:44:09 +0200 Subject: Connectionists: Call for Teaching Assistants for the Cape Town Imbizo, August 11th to September 4th 2022. Apply by October 11 Message-ID: Dear Colleagues, We are looking for teaching assistants for the IBRO-Simons Computational Neuroscience Imbizo (#isiCNI), a computational neuroscience summer school held in Cape Town, South Africa. We are looking for post-doctoral or advanced PhD researchers to join our team as Teaching Assistants (TAs) for the #isiCNI2022 in August 2022. Please send your application to to isicn.imbizo at gmail.com . Include 1) CV and a 2) cover letter with a short motivational statement for why you would be a good fit, and what your favourite topics would be for teaching tutorials and supervising student projects. Additionally, 3) please provide the email address of one reference. We will start assessing applications on 11 October 2021. About the Imbizo: The school hosts 31 students for an amazing 25 days of lectures, tutorials, projects and parties. All this takes place on Noordhoek beach, between the mountain and the ocean. It's a spectacular location. The dates for the isiCNI2022 are August 11th to September 4th 2022. The Imbizo is a special experience, with students being totally immersed in academic, social, touristic and cultural activities, and has resulted in student and TA groups from previous schools becoming very close, personally and scientifically. This is fantastic, as a major goal of the isiCNI project is to help young African researchers grow their academic peer and friend group. About being a TA: Each TA runs one afternoon tutorial in the first week of the school, which they design themselves. Each TA will teach a different topic, which the TA's choose among themselves, to provide students with a broad exposure to problems and methods in computational neuroscience. Each TA is also assigned 5 students to supervise for project work during the last 2 weeks of the school. TAs will be asked to help processing student applications. TAs are integral in helping run the school. In addition to academic support, they foster good social interactions and academic discussions among students, and they help 'shy' students meet faculty. They also act as 'social glue?, helping to notice and support students who may be feeling ill, not fitting in socially, or generally having difficulties. To fulfil these roles, TAs need to be at all school meals and activities. What we provide: We cover a direct as possible, economy class ticket to Cape Town, as well as all board and lodging during the school. In addition, TAs will receive a cash budget for 'hosting purposes' during the school (e.g. for buying some beverages/ice-creams for students, train tickets, etc.). We also provide you with life-long memories of one of the most beautiful places on earth. I'm interested, how do I apply: If you think you would like to join us for this amazing experience, please send us a brief CV (2 or 3 pages is fine) to isicn.imbizo at gmail.com . Please include (as a cover letter or in your email) a short motivational statement for why you would be a good fit, and what your favourite topics would be for teaching tutorials and supervising student projects. We will start assessing applications on 11 October 2021. A call for student application will follow soon. We hope to hear from you soon! Let us know if you have any questions. Thanks and regards Demba Ba, Peter E. Latham, Joseph Raimondo, Emma Vaughan, and Tim Vogels IBRO-Simons Computational Neuroscience Imbizo Committee 2022 #isicni2022 Twitter: @isicni -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Sep 22 05:12:42 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 22 Sep 2021 12:12:42 +0300 Subject: Connectionists: Last call: Invitation to join Short Course 'Deep Learning and Computer Vision', 6-7th October 2021 Message-ID: <0b1f01d7af92$005f98b0$011eca10$@csd.auth.gr> Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML Short e-course on 'Deep Learning and Computer Vision', 6-7th October 2021: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This 6th edition of this course is part of the very successful CVML short course series that took place in the last four years. Course description 'Deep Learning and Computer Vision' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures (8 hours) provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to Neural SLAM, target detection and tracking. Part B also contains application-oriented lectures on autonomous drones, cars and marine vessels, e.g., drone mission planning for cinematography and related applications (marine surveillance, infrastructure/building inspection, car vision). Course lectures Part A: (first day, 8 lectures) 1. Introduction to autonomous systems imaging 2. Digital Image and Videos 3. Camera geometry 4. Stereo and Multiview imaging 5. Introduction to Artificial Neural Networks. Perceptron 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B: (second day, 8 lectures) 1. Simultaneous Localization and Mapping 2. Neural Slam 3. Deep Object Detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software Development Tools You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in 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 jiangdm at nwpu.edu.cn Thu Sep 23 03:35:10 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Thu, 23 Sep 2021 15:35:10 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Registration Message-ID: <64f0106f.2fb33.17c1194644a.Coremail.jiangdm@nwpu.edu.cn> Early Registration Deadline Extended *************************************** ACM ICMI 2021: Registration https://icmi.acm.org/2021/index.php?id=registration 18-22 Oct 2021, Montreal, Canada *************************************** It is official, ICMI will be hybrid. We are so excited to hold the meeting in Montreal with an in-person component. We have extended the early registration date until September 27th to give you the opportunity to finalize your travel plan. Please note that Canada is now open for all non-essential travel (https://travel.gc.ca/travel-covid/travel-restrictions/wizard-start). Visit https://icmi.acm.org/2021/index.php?id=registration as soon as possible to register and help us confirm our in-person plans. We are looking forward to seeing everyone in Montreal this October for ICMI-2021! Venue: https://icmi.acm.org/2021/index.php?id=venue What to do in Montreal: https://www.mtl.org/en" Note on registration: - A student registration covers one regular (long or short) paper, whereas a full (non-student) registration covers up to two regular (long or short) papers. - A student or full registration covers auxiliary papers (e.g., Doctoral Consortium, Late Breaking Work, Challenges, Workshop) - The Conference registration covers three main days of conference events (October 19 -21) and two days of co-located workshops, tutorials, challenges, and Doctoral Consortium (October 18 and 22). - The In-Person registration includes coffee breaks on all five days, lunch on the three main conference days, a reception on October 19, and the banquet on October 20. - A workshop-only registration covers only the workshop day. The 23rd ACM International Conference on Multimodal Interaction (ICMI 2021) will be held in Montreal, Canada October 18-22, 2021. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The main conference themes in 2021 will be behavioral health and virtual connectivity, but other major topics of central interest include human communication and multimodal language/dialogue processing, human-robot/agent interaction, affective computing and social interaction, cognitive modeling, multimodal representations and fusion-based architectures, machine learning for multimodal interaction and system applications, speech, gesture, haptics, olfaction, gaze and vision, multimodal datasets and platforms, mobile and ubiquitous interfaces, interfaces for virtual/augmented reality, smart environments, and assistive technologies. ------------------------------------------------------------------------------- Dongmei Jiang Professor, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From Bing.Xue at ecs.vuw.ac.nz Thu Sep 23 06:31:00 2021 From: Bing.Xue at ecs.vuw.ac.nz (Bing XUE) Date: Thu, 23 Sep 2021 22:31:00 +1200 Subject: Connectionists: 4th CFP EuroGP 2022 - 25th European Conference on Genetic Programming - 20-22 April 2022 Message-ID: <6a8f6d21-d761-a825-b928-b62ec15bb6d5@ecs.vuw.ac.nz> Dear Colleague(s), ?*** Apologies for cross-posting *** We would like to invite you to submit papers to EuroGP 2022: THE 25th EUROPEAN CONFERENCE ON GENETIC PROGRAMMING which will be held on April 20-22, 2022 Please visit http://www.evostar.org/2022/eurogp/? for more details. *** Important dates *** Submission deadline: 1 November 2021 EvoStar Conference: 20-22 April, 2022 Submission link: https://easychair.org/conferences/?conf=evo2022 *** EuroGP *** EuroGP is the premier annual conference on Genetic Programming (GP), the oldest and the only meeting worldwide devoted specifically to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers. EuroGP is featured in the conference ranking database CORE (http://portal.core.edu.au/conf-ranks/481/) *** EvoStar *** EvoStar is a leading international event devoted to evolutionary computing, comprising four conferences, EuroGP, EvoApplications, EvoCOP, and EvoMUSART. The low-cost registration includes access to all of them, as well as daily lunch and the conference reception and banquet. *** Topics *** Topics to be covered include, but are not limited to: Innovative applications of GP, Theoretical developments, GP performance and behaviour, Fitness landscape analysis of GP, Algorithms, representations and operators for GP, Search-based software engineering, Genetic improvement programming, Evolutionary design, Evolutionary robotics, Tree-based GP and Linear GP, Graph-based GP and Grammar-based GP, Evolvable hardware, Self-reproducing programs, Multi-population GP,? Multi-objective GP, Parallel GP, Probabilistic GP, Object-orientated GP, Hybrid architectures including GP, Coevolution and modularity in GP, Semantics in GP, Unconventional GP, Automatic software maintenance, Evolutionary inductive programming, Evolution of automata or machines. ***the EvoML joint track *** Please visit: http://www.evostar.org/2022/eml/ This joint track on Evolutionary Machine Learning (EML) will provide a specialized forum of discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture, with the long-term goal of evolving Artificial Intelligence (AI). In response to the growing interest in the area, and consequent advances of the state-of-the-art, the special session covers theoretical and practical advances on the combination of Evolutionary Computation (EC) and Machine Learning (ML) techniques. As a joint EuroGP+EvoAPPS track, authors should decide whether their paper will be treated within EvoApplications or EuroGP at the submission time. *** Paper submission *** High-quality submissions not exceeding 16 pages in Springer LNCS format are now solicited. Accepted papers will be published by Springer-Verlag in the Lecture Notes in Computer Science series. The highest quality papers may also be invited to submit extensions for publication in a special issue of the journal Genetic Programming and Evolvable Machines (GPEM). *** Organization *** Program Chairs: Eric Medvet, University of Trieste, Italy Gisele Pappa, Universidade Federal de Minas Gerais, Brazil Publication Chair: Bing Xue, Victoria University of Wellington *** Program Committee *** (To be announced) For further information please visit http://www.evostar.org/2022/eurogp/ Eric Medvet, Gisele Pappa, and Bing Xue EuroGP Chairs -- ---------------------------------------------- Dr Bing Xue (she/her), MIEEE, MACM Professor | Ahorangi Programme Director of Science | Pouakorangi School of Engineering and Computer Science | Te Kura M?tai P?kaha, P?rorohiko Victoria University of Wellington | Te Herenga Waka New Zealand | Aotearoa Phone: +64 4 463 5542 Homepage: https://homepages.ecs.vuw.ac.nz/~xuebing/index.html ---------------------------------------------- From elouazzanirajae at gmail.com Thu Sep 23 06:28:13 2021 From: elouazzanirajae at gmail.com (Rajae El Ouazzani) Date: Thu, 23 Sep 2021 11:28:13 +0100 Subject: Connectionists: [Last Call for Proposals] Call for Chapter Proposals in IGI-Global Book Project: AI Applications for Disease Diagnosis and Treatment Message-ID: Dear Author, It's a pleasure to share with you the Call for Chapter Proposals in the IGI-Global Book Project: AI Applications for Disease Diagnosis and Treatment. Submit an abstract of your work on AI Applications for Disease Diagnosis and Treatment by Sep 26, 2021 (firm date). Later, send the full chapter by Nov 25, 2021. All the IGI Global publications are submitted for indexing to indices including Web of Science, Scopus, Inspec, PsycINFO, Ei Compendex, and more. Besides, the publication of the chapter is FREE OF CHARGE. Please visit https://www.igi-global.com/publish/call-for-papers/call-details/5413 for more details regarding this publication and to submit an abstract of your work. You can also find detailed manuscript formatting and submission guidelines at https://www.igi-global.com/publish/contributor-resources/before-you-write/ If you have any questions or concerns, please do not hesitate to contact me. Thank you very much for your consideration of this invitation, and I hope to hear from you by Sep 26, 2021! Best wishes, Rajae El Ouazzani -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Fri Sep 24 07:46:29 2021 From: cgf at isep.ipp.pt (Carlos) Date: Fri, 24 Sep 2021 12:46:29 +0100 Subject: Connectionists: CFP: DATA STREAMS TRACK - ACM SAC 2022 (Submission deadline: October 15, 2021) Message-ID: <7b61c201-b421-0839-6afb-4e0be69f9cd9@isep.ipp.pt> *ACM Symposium on Applied Computing * The 37th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic April 25 ? April 29, 2022 https://www.sigapp.org/sac/sac2022/ *Data Streams Track * https://abifet.github.io/SAC2022/ *Call for Papers * The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions. *TOPICS OF INTEREST * We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to: * Real-Time Analytics * Big Data Mining * Data Stream Models * Large Scale Machine Learning * Languages for Stream Query * Continuous Queries * Clustering from Data Streams * Decision Trees from Data Streams * Association Rules from Data Streams * Decision Rules from Data Streams * Bayesian Networks from Data Streams * Neural Networks for Data Streams * Feature Selection from Data Streams * Visualization Techniques for Data Streams * Incremental on-line Learning Algorithms * Single-Pass Algorithms * Temporal, spatial, and spatio-temporal data mining * Scalable Algorithms * Real-Time and Real-World Applications using Stream data * Distributed and Social Stream Mining * Urban Computing, Smart Cities * Internet of Things (IoT) * IMPORTANT DATES * 1. Submission deadline: October 15, 2021 2. Notification deadline: December 10, 2021 3. Camera-ready deadline: December 21, 2021 *PAPER SUBMISSION GUIDELINES * Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 8 pages. There is a set of templates to support the required paper format for a number of document preparation systems at https://www.sigapp.org/sac/sac2022/authorkit.html Important notice: 1. Please submit your contribution via SAC 2022 Webpage: https://www.softconf.com/m/sac2022/ 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. If you encounter any problems with your submission, please contact the Program Coordinator. 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 cognitivium at sciencebeam.com Fri Sep 24 08:05:59 2021 From: cognitivium at sciencebeam.com (Mary) Date: Fri, 24 Sep 2021 15:35:59 +0330 Subject: Connectionists: QEEG and Neurofeedback in-person workshop in Istanbul, Turkey Message-ID: <202109241206.18OC60sQ015310@scs-mx-04.andrew.cmu.edu> Dear researchers, It?s been a tragedy with the COVID-19 pandemic over the past year, and we had lost the opportunity to have meetings with researchers and clinicians. But hopefully the world is getting vaccinated, and we are very interested in meeting you in person as soon as possible. On behalf of the ScienceBeam company, a designer and manufacturer of electrophysiology products, including QEEG, Neuro-Biofeedback, EEG/ERP, and animal extracellular recording system, this is my pleasure to announce the Grand Opening Ceremony of ScienceBeam?s office in Istanbul, Turkey. On the occasion of this Grand Opening, ScienceBeam is hosting a 3-day comprehensive workshop on Neurofeedback and QEEG, on October 8-10th, with 50% discount! This workshop, which will be led by ScienceBeam experts in both Neurofeedback and QEEG areas, provides not only a broad and up-to-date exposure to the current state of QEEG and Neurofeedback, but also provides an opportunity to do Neurofeedback treatment as well as QEEG recording and analysis during hands-on sessions. All the attendees who have little or broad experience in QEEG and neurofeedback will find this meeting a comprehensive and engaging workshop that will include essential material to ensure a solid understanding of current QEEG and Neurofeedback concepts. We are delighted to invite you to join us for this fantastic meeting. This is an opportunity to get together with a group of experts/scientists/clinicians/researchers, as well as having a fancy stay at one of the most beautiful and live cities in the whole world. So, even if you are not in Istanbul, do not miss this extraordinary opportunity and book your flight promptly. We are excited to see you! Topics to be covered in the QEEG Workshop: ? Basics of EEG signals and brain mapping ? EEG recording using the eWave system ? Introduction to the Neuroguide software ? EEG montages, different databases, asymmetry, coherence, absolute and relative powers ? Drug effects on QEEG and brain ? Introduction to the Event-Related Potentials (ERPs) and the QEEG researches Topics to be covered in the Neurofeedback Workshop: ? Introduction to the Feedback and brainwaves ? A practical guide to Neurofeedback therapy using the eWave system ? Diagnosis of mental disorders based on changes in the brain waves ? Assessment of treatment protocols, such as ADHD, depression, anxiety, etc.? For more information regarding the workshop schedule and registration please visit the link below: https://sciencebeam.com/neurofeedback-and-qeeg-workshop/ Also, please bear in mind that the registration deadline is October 4th. It would be very much appreciated if you kindly share this flyer to the groups and interested researchers, who can be with us in Istanbul, Turkey. Do not hesitate to contact us for more information: workshop at sciencebeam.com Mary Reae Human Neuroscience Dept. Manager @ScienceBeam -------------- next part -------------- An HTML attachment was scrubbed... URL: From mschilli at techfak.uni-bielefeld.de Fri Sep 24 07:40:07 2021 From: mschilli at techfak.uni-bielefeld.de (Malte Schilling) Date: Fri, 24 Sep 2021 13:40:07 +0200 Subject: Connectionists: Join us on Monday in our Workshop on Trustworthy AI in the Wild Message-ID: We want to invite you to our workshop on Trustworthy AI in the Wild - next Monday, 27th of September, starting at 10 AM (European time). Regards Barbara Hammer, Malte Schilling, Laurenz Wiskott ========================================================== Schedule The workshop will be held in zoom (Meeting ID: 962 7072 7489, Passcode: 037056) The poster session will be starting at 12 PM: https://app.wonder.me/?spaceId=ae85bc72-43df-4882-ad5a-0233c98deb1f 10:00-10:05 Welcome and Introduction (Barbara Hammer) 10:05-10:45 Keynote Talk: Isabel Valera ?Algorithmic recourse: theory and practice? 10:45-11:00 Invited talk: Ulrike Kuhl ?Towards an Empirical Analysis of Counterfactual Explanations for Machine Learning? 11:00-11:45 Keynote Talk: Marc Toussaint ?Physical Reasoning: If I only could explain why it doesn?t work? 11:45-12:00 Poster pitches of 2 minutes 12:00 Poster session will be held in wonder.me - https://app.wonder.me/?spaceId=ae85bc72-43df-4882-ad5a-0233c98deb1f ========================================================== Topic AI solutions start to have an enormous impact on our lives: they are key enabler of future digital industry, potential game-changer for experimentation and discovery in science, and prevalent technology in everyday services such as internet search or human-machine communication. Moreover, AI is involved in the solutions of humans? grand challenges, examples being AI-based environment-friendly mobility concepts, augmentation of human capabilities by intelligent assistive systems in an ageing society, or support in developing medical therapies or vaccines. Yet, the very nature of AI technologies includes a number of novel threats which need to be addressed for trustworthy AI: many machine learning models act as black boxes which can lead to unexpected behavior, for example, when human and machine perception differ considerably. As models are trained on real-life data, there is the risk that such AI models allow for unauthorized access to sensitive information that might be contained in the data. Furthermore, data biases ?caused by spurious correlations in the data? can be captured by ML models and their predictions, leading to systematically disadvantages for specific individuals or (e.g. ethnic) groups. The ubiquity of AI in virtually every aspect of life, therefore, has an enormous impact on the way in which we as a society communicate, work, decide, and interact. Hence novel concepts on how to guarantee security, safety, privacy, and fairness of AI and how to create AI systems which support humans rather than incapacitating them are of uttermost importance and are constituting the research area on Trustworthy AI. Trustworthy AI aims for technologies that not only provide solutions to an earlier defined task, but that as well allow for insight on the functioning of the underlying system. Why did the system acted in a certain way and did not choose a different solution? Which features were important for the decision and how sure is the system of its choice, i.e. can I trust this decision? The workshop aims, first, at understanding Machine Learning based approaches towards explainable AI solutions. Secondly, a focus of the workshop is on how we can make AI solutions more trustworthy. The goal of the workshop is to discuss existing concepts of trustworthy AI and provide a platform for the formulation of new ideas and proposals to overcome existing limitations. The workshop aims at interested researchers with a background in machine-learning (supervised and unsupervised learning, reinforcement learning), traditional AI techniques (reasoning, planning), robotics (humanoids, probabilistic robotics), HMI/HRI, and multi-agent systems (coordination and cooperation). ========================================================== It is part of the GI Conference 2021 and the KI 2021 (both virtually), see https://ki2021.uni-luebeck.de . ========================================================== 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=343 Organizers: Barbara Hammer (CITEC, Bielefeld University, Germany), Malte Schilling (Machine Learning Group, Bielefeld University), Laurenz Wiskott (Institute for Neural Computation, Ruhr-University Bochum). From george at cs.ucy.ac.cy Fri Sep 24 08:13:02 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Fri, 24 Sep 2021 15:13:02 +0300 Subject: Connectionists: 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022): Final Call for Special Sessions Proposals Message-ID: *** Final Call for Special Sessions Proposals *** 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022) May 25-27, 2022, Golden Bay Hotel 5*, Larnaca, Cyprus http://cyprusconferences.org/eais2022/ (Proceedings to be published by the IEEE Xplore Digital Library; Special Journal Issue with Evolving Systems, Springer) IEEE EAIS 2022 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamic changes. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviours, knowledge expansion scenarios and drifts in online data streams. Conference Topics Basic Methodologies Evolving Soft Computing Techniques. Evolving Fuzzy Systems. Evolving Rule-Based Classifiers. Evolving Neuro-Fuzzy Systems. Adaptive Evolving Neural Networks. Online Genetic and Evolutionary Algorithms. Data Stream Mining. Incremental and Evolving Clustering. Adaptive Pattern Recognition. Incremental and Evolving ML Classifiers. Adaptive Statistical Techniques. Evolving Decision Systems. Big Data. Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems. Online Feature Selection and Dimension Reduction. Online Active and Semi-supervised Learning. Online Complexity Reduction. Computational Aspects. Interpretability Issues. Incremental Adaptive Ensemble Methods. Online Bagging and Boosting. Self-monitoring Evolving Systems. Human-Machine Interaction Issues. Hybrid Modelling, Transfer Learning. Reservoir Computing. Applications of EAIS Time Series Prediction. Data Stream Mining and Adaptive Knowledge Discovery. Robotics. Intelligent Transport and Advanced Manufacturing. Advanced Communications and Multimedia Applications. Bioinformatics and Medicine. Online Quality Control and Fault Diagnosis. Condition Monitoring Systems. Adaptive Evolving Controller Design. User Activities Recognition. Huge Database and Web Mining. Visual Inspection and Image Classification. Image Processing. Cloud Computing. Multiple Sensor Networks. Query Systems and Social Networks. Alternative Statistical and Machine Learning Approaches. Special Sessions Proposals Distinguished researchers working in theory, analysis and applications of evolving adaptive and intelligent systems and related areas are encouraged to submit proposals within the technical scope of IEEE EAIS 2022. Researchers interested in organising special sessions are invited to submit a formal proposal to the Special Sessions Chair Gabriella Casalino (gabriella.casalino at uniba.it) and to the General Chair George Angelos Papadopoulos (george at cs.ucy.ac.cy), by specifying: - Special Session Lead Organiser email address, details and mini-bio - Co-Organiser(s) details and mini-bio (optional) - Special Session title - Aim and scope of the Special Session (~half a page) - A list of main topics of the Special Session - A list of potential/expected contributors Important Dates ? Special Session proposal submission: October 1, 2021 ? Special Session proposal acceptance: October 10, 2021 ? Paper submission: January 10, 2022 ? Notification of acceptance/rejection: February 19, 2022 ? Camera ready submission: March 20, 2022 ? Authors registration: March 20, 2022 ? Conference Dates: May 25-27, 2022 Social Media FB: https://www.facebook.com/IEEEEAIS Twitter: https://twitter.com/IEEE_EAIS Linkedin: https://www.linkedin.com/events/2022ieeeconferenceonevolvingand6815560078674972672/ Organization Honorary Chairs ? Dimitar Filev, Ford Motor Co., USA ? Nikola Kasabov, Auckland University of Technology, New Zealand General Chairs ? George A. Papadopoulos, University of Cyprus, Nicosia, Cyprus ? Plamen Angelov, Lancaster University, UK Program Committee Chairs ? Giovanna Castellano, University of Bari, Italy ? Jos? A. Iglesias, Carlos III University of Madrid, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Sep 25 15:12:50 2021 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 25 Sep 2021 21:12:50 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Spring: early registration October 15 Message-ID: <260112736.369413.1632597170317@webmail.strato.com> ****************************************************************** 6th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Spring Guimar?es, Portugal April 18-22, 2022 https://irdta.eu/deeplearn2022sp/ ***************** Co-organized by: Algoritmi Center University of Minho, Guimar?es Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: October 15, 2021 ****************************************************************** 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 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 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: TBA 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: Christopher Manning (Stanford University), Self-supervised and Naturally Supervised Learning Using Language Kate Smith-Miles (University of Melbourne), Stress-testing Optimisation Algorithms via Instance Space Analysis Zhongming Zhao (University of Texas, Houston), Deep Learning Approaches for Predicting Virus-Host Interactions and Drug Response PROFESSORS AND COURSES: Eneko Agirre (University of the Basque Country), [intermediate] Deep Learning for Natural Language Processing Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Altan ?ak?r (Istanbul Technical University), [introductory] Introduction to Deep Learning with Apache Spark Rylan Conway (Amazon), [introductory/intermediate] Deep Learning for Digital Assistants Jifeng Dai (SenseTime Research), [intermediate] AutoML for Generic Computer Vision Tasks 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] An Introduction to Quantum 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 Richa Singh (Indian Institute of Technology, Jodhpur), [introductory/intermediate] Trusted AI 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] Graph Neural Networks with 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/deeplearn2022sp/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 will be available in due time at https://irdta.eu/deeplearn2022sp/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, Universidade do Minho, Guimar?es Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat Sep 25 04:35:00 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sat, 25 Sep 2021 11:35:00 +0300 Subject: Connectionists: ACM International Conference on Information Technology for Social Good (GoodIT 2022): First Call for Special Track Proposals Message-ID: *** First Call for Special Track Proposals *** ACM International Conference on Information Technology for Social Good (GoodIT 2022) 7?9 September, 2022, 5* St. Raphael Resort & Marina, Limassol, Cyprus https://cyprusconferences.org/goodit2022/ Scope ACM GoodIT focuses on the application of IT technologies to social good. Social good is typically defined as an action that provides some sort of benefit to the general public. In this case, Internet connection, education, and healthcare are all good examples of social goods. However, new media innovations and the explosion of online communities have added new meaning to the term. Social good is now about global citizens uniting to unlock the potential of individuals, technology, and collaboration to create positive societal impact. GoodIT topics include but not limited to: ? IT for education ? Data Science ? Digital solutions for Cultural Heritage ? Data sensing, processing, and persistency ? Game, entertainment, and multimedia applications ? Health and social care ? IT for development ? Privacy and trust issues and solutions ? Sustainable cities and transportation ? Smart governance and e-administration ? IT for smart living ? Technology addressing the digital divide ? IT for automotive ? Frugal solutions for IT ? Ethical computing ? Decentralized approaches to IT ? Citizen science ? Socially responsible IT solutions ? Sustainable IT ? Social informatics ? Civic intelligence Special Tracks Proposals GoodIT 2022 will feature special tracks whose aim is to focus on a specific topic of interest related to the overall scope of the conference. We solicit proposals for special tracks to be held within the main conference and whose publications will be included in the conference proceedings. Tracks proposals can focus on any contemporary themes that highlight social good aspects in the design, implementation, deployment, securing, and evaluation of IT technologies. Special Track Proposal Format A special track proposal must contain the following information: ? Title of the special track. ? The names of the organizers (indicatively, two) with affiliations, contact information, and a single paragraph of a brief bio. ? A short description of the scope and topics of the track (max 1/2 page) and a brief explanation of: (1) why the topic is timely and important; (2) why the topic is related to the conference?s main theme; (3) why the track may attract a significant number of submissions of good quality. ? Indication if a journal special issue is associated with the track, possibly with information on the process of selecting papers. ? The plan to disseminate the call for papers of the special track for achieving a reasonable number of paper submissions (a list of emailing lists will help). ? A tentative Program Committee list. ? A draft Call for Papers (max 1 page). Publication Papers submitted to each particular track have to satisfy the same criteria as for the main conference. They must be original works and must not have been previously published. They have to be peer-reviewed by the track's Program Committee (at least three reviews per submitted paper are required). The final version of papers must follow the formatting instructions of the main conference (https://cyprusconferences.org/goodit2022/index.php/authors/). At least one of the authors of all accepted papers must register and present the work at the conference; otherwise, the paper will not be published in the proceedings. All accepted and presented papers will be included in the conference proceedings published in the ACM Digital Library. The special track may provide an option for publishing extended versions of selected papers in a special issue of a journal. Special Track Proposal Submission Guidelines Special track proposals should be submitted as a single PDF file to the special track Chairs (see below) via email to: ombretta.gaggi at unipd.it, valentino.vranic at stuba.sk, and rysavy at fit.vut.cz. The subject of the e-mail must be: ?GoodIT 2022 ? special track proposal?. The special track chairs may ask proposers for supplying additional information during the review period. Important Dates ? Special Track Proposal Submission Deadline: 13 December 2021 ? Notification of Selection: 20 December 2021 Contact (Special Tracks Chairs) ? Ombretta Gaggi (University of Padua, Italy) ? Ondrej Rysavy (Brno University of Technology, Czech Republic) ? Valentino Vranic (Slovak University of Technology in Bratislava, Slovakia) -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmuller2 at uwo.ca Sun Sep 26 23:30:53 2021 From: lmuller2 at uwo.ca (Lyle Muller) Date: Mon, 27 Sep 2021 03:30:53 +0000 Subject: Connectionists: Western-Fields Seminar Series | Arvind Kumar Message-ID: The seventh talk in the 2021 Western-Fields Seminar Series in Networks, Random Graphs, and Neuroscience is Thursday (30 September) at noon EDT. Arvind Kumar (KTH Stockholm) will give a talk titled ?Network structure and network activity dynamics: What really matters?? (abstract below). Dr. Kumar is a leader in computational neuroscience and the dynamics of spiking neural networks. This seminar series features monthly virtual talks from a diverse group of researchers across machine learning, physics, and graph theory. Upcoming speakers include Alexander Lubotzky (Hebrew University of Jerusalem), Frances Skinner (Krembil Institute), and more. Registration link: https://zoom.us/meeting/register/tJYuf-GppzkjHt0W5HMDpME2UpUiE7ntO5JS ? Abstract: The wiring of neurons in the brain essentially determines the brain function. While the brain's wiring is not fixed, the overall structure of the connectivity is largely maintained over a long time. Therefore, there is a big interest in mapping the 'connectome' of the brains. But the key questions still remain unclear : Which properties of the network structure are crucial for network dynamics and/or function? How important is the network topology (small-world, scale-free etc.) and graph theoretic descriptors in shaping the network activity dynamics? To address these questions, we have compared the dynamics of different types of random, spatially connected and heterogeneous neuronal networks. We found that network topology by itself is a rather fragile concept and does not affect the network dynamics in a qualitative manner. By contrast, simple features of the network structure such as effective synaptic connectivity or excitation-inhibition balance and the shape of the connectivity kernel are more powerful in bringing about qualitative changes in the network activity. We also found that in spatial networks connection heterogeneities are only effective when they can create local imbalance of excitation and inhibition. This can be achieved only when connectivity inhomogeneities are correlated in physical (or connectivity) space. These results suggest mechanisms by which spatial distribution of heterogeneities can give rise to temporal sequences. Finally, I will discuss to what extent we can see the signatures of neuron or synapse degeneration in the activity of a biological neural network. -- Lyle Muller http://mullerlab.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From andrew.coward at anu.edu.au Sat Sep 25 12:05:44 2021 From: andrew.coward at anu.edu.au (Andrew Coward) Date: Sat, 25 Sep 2021 16:05:44 +0000 Subject: Connectionists: Brain Mechanisms: Linking Cognitive Phenomena to Neuron Activity Message-ID: Dear colleagues, I would like to bring to your attention a book that has just been published. The book, Brain Mechanisms: Linking Cognitive Phenomena to Neuron Activity, describes how to understand higher cognition in terms of anatomical, physiological and chemical processes in the brain using techniques based on how we understand the operation of complex electronic systems. A brain has absolutely no resemblance to an electronic system. Nevertheless, how we go about understanding complex electronic systems has some important lessons for how to go about understanding the brain. Brains have huge numbers of neurons, and understanding obviously cannot be based on simultaneously imagining the ongoing activity of all these neurons. Some way must be found to organize all this information in a way humans can handle. A complex computing system can have hundreds of billions of components like transistors. Engineers could not design such systems by simultaneously imagining the activity of all the components that could be involved. Rather, the design information is organized in such a way that all design tasks are within the mental bandwidth of a human designer. The techniques to achieve this involve hierarchies of description, carefully managed use of approximation, and the ubiquitous use of just two types of information process: instructions and data read/writes. Natural selection pressures have resulted in brain architectures to which analogous techniques for organizing information can be applied. The pressures have resulted in the ubiquitous presence of two types of information processes in the brain, condition definition/detections and behavioural recommendation definition/integrations. These information processes are completely different from those in computing systems, but they allow creation of analogous hierarchies of description. Such hierarchies of description make it possible to achieve an intuitively satisfying understanding of human memory, consciousness and self-awareness in terms of the activity of the billions of neurons. A blog touches on some of these ideas. The book is available at Amazon.com Download a sample chapter Video of recent lecture at Florida State University Andrew Coward Australian National University Canberra https://researchers.anu.edu.au/researchers/coward-a -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Fri Sep 24 14:24:18 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 24 Sep 2021 18:24:18 +0000 Subject: Connectionists: CFP: IEEE BIBM-LncRNA'21: 5 weeks to submission deadline -- See our array of speakers ! In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... We have an exciting array of speakers for the workshop -- both In-Person presenters in Dubai, UAE, and Online/remote presenters !! See our website: BIBM- LncRNA'2021: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2021/ Our paper submission deadline Nov. 1, just 5-weeks away -- see below Call for Papers The IEEE BIBM 2021 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2021 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021), Dec. 9 - 12, 2021. Though the BIBM conference will be virtual/online, the LncRNA workshop will be held in a mixed mode -- both virtual/remote and face-to-face in Dubai, UAE. BIBM- LncRNA'2021: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2021/ IEEE BIBM 2021: https://ieeebibm.org/BIBM2021/ The recent application of high throughput technologies to transcriptomics has changed our view of gene regulation and function. The discovery of extensive transcription of large RNA transcripts, termed long noncoding RNAs (lncRNAs), provide an important and new perspective on the centrality of RNA in gene regulation. LncRNAs are involved in various biological and cellular processes, such as genetic imprinting, chromatin remodeling, gene regulation and embryonic development. LncRNAs have been implicated in several chronic diseases, such as cancers, and heart disease, etc. Various types of genomic data on lncRNAs are currently available, including sequences, secondary/tertiary structures, transcriptome data, and their interactions with related proteins or genes. The key challenge is how to integrate data from myriad sources to determine the functions and the regulatory mechanism of these ubiquitous lncRNAs. Research topics: The potential topics include, but not limited to, the following: lncRNA detection and biomarker discovery CLIP-Seq and RIP-Seq data analysis Prediction of physical binding between lncRNA and DNA, RNA and protein. Competition and interaction between lncRNA, miRNA and mRNA Studying methylation regulating lncRNA functions Function Prediction for lncRNAs Deep learning approaches to lncRNA/RNA binding protein prediction Computational approaches to analyzing lncRNA lncRNA 3D secondary structures lncRNA-protein interactions lncRNA in epigenetic regulation lncRNA associated diseases network lncRNAs in plant genomics lncRNAs in phenotype-genotype problems lncRNAs and single cell transcriptomics lncRNAs and spatial transcriptomics CRISPR/Cas9 and Genome editing in lncRNAs We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee. All papers accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press and will be available at the workshop. Authors of selected papers will be invited to extend their papers for submission to special issues in prestigious Journals. Fellowships: Funds are available for limited fellowships to support the participation of students, and of researchers from underrepresented minority groups in the workshop. Paper Submission: Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system. Electronic submissions in pdf format are required. For paper submission click on the following link: https://wi-lab.com/cyberchair/2021/bibm21/scripts/submit.php?subarea=S08&undisplay_detail=1&wh=/cyberchair/2021/bibm21/scripts/ws_submit.php Important Dates: Nov 1, 2021 11:59:59 PM WST: Due date for full workshop paper submission. Nov 14, 2021: Notification of paper decision to authors Nov 21, 2021: Camera-ready of accepted papers Dec 9-12, 2021: Workshops BIBM-LncRNA'21 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2021/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Sep 25 13:47:49 2021 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 25 Sep 2021 19:47:49 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Winter: early registration October 9 Message-ID: <1835540363.366297.1632592069816@webmail.strato.com> ****************************************************************** 5th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Winter Bournemouth, UK January 17-21, 2022 https://irdta.eu/deeplearn/2022wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: October 9, 2021 ****************************************************************** SCOPE: DeepLearn 2022 Winter 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 and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of different environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, 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 components of the event. 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 Winter 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 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: TBA 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 want to emphasize the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), White-box Deep (Convolution) Networks from the Principle of Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Peter L. Bartlett (University of California, Berkeley), [intermediate/advanced] Deep Learning: A Statistical Viewpoint Joachim M. Buhmann (Swiss Federal Institute of Technology, Z?rich), [introductory/advanced] Algorithm Validation for Data Science Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Seungjin Choi (BARO AI Academy), [introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare R?diger Dillmann (Karlsruhe Institute of Technology), [introductory/intermediate] Building Brains for Robots Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Charles Elkan (University of California, San Diego), [intermediate] AI and ML Applications in Finance and Retail Rob Fergus (New York University), [intermediate/advanced] Self-supervised Learning of Visual Representations for Recognition and Interaction Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Jude W. Shavlik (University of Wisconsin, Madison), [introductory/intermediate] Advising, Explaining, Distilling, and Quantizing Deep Neural Networks Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis 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 January 9, 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 January 9, 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 January 9, 2022. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, co-chair) Nan Jiang (Bournemouth, co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, co-chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022wi/registration/ The selection of up to 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 will be available in due time at https://irdta.eu/deeplearn/2022wi/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: Bournemouth University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From b.b.kruit at vu.nl Fri Sep 24 11:29:59 2021 From: b.b.kruit at vu.nl (Kruit, B.B.) Date: Fri, 24 Sep 2021 15:29:59 +0000 Subject: Connectionists: Call for Contributions ESWC 2022 Message-ID: <1cdf7450f2be4516b8326e87125ddedd@vu.nl> Call for Contributions ESWC 2022 ESWC is a key academic conference for research results and new developments in the area of the Semantic Web and Knowledge Graphs. ESWC2022 marks the 19th edition, which will take place from 29 May to 2 June 2022, in Heraklion, Greece. ESWC2022 features three main tracks: - the Research Track for novel research contributions https://2022.eswc-conferences.org/call-for-papers-research-track - the In-Use Track for applications of focus technologies in practice https://2022.eswc-conferences.org/call-for-papers-in-use-track/ - the Resources Track for data and software supporting the community https://2022.eswc-conferences.org/call-for-papers-resources-track/ Deadlines for these tracks - 2 December 2021: abstract submission - 9 December 2021: full submission All deadlines are 23:59 anywhere on earth (UTC-12). For more details check out: https://2022.eswc-conferences.org/call-for-contributions/ Program Chairs Maria-Esther Vidal, Leibiz University of Hannover and TIB-Leibniz Centre for Science and Technology, Germany Fabian Suchanek, Institut Polytechnique de Paris, France Pedro Szekley, USC Information Sciences Institute, USA Pavan Kapanipathi, IBM Research AI, USA Catia Pesquita, LASIGE, Faculdade de Ci?ncias, Universidade de Lisboa, Portugal Hala Skaf-Molli, Nantes University, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From contactnewinml at gmail.com Sat Sep 25 19:30:37 2021 From: contactnewinml at gmail.com (Contact NewInML) Date: Sun, 26 Sep 2021 01:30:37 +0200 Subject: Connectionists: [Erratum URL] Call For Paper - NewInML workshop NeurIPS 2021 Message-ID: *Erratum*: the URL of the workshop is https://sunhaozhe.github.io/NewInML2021_NeurIPS/ Paper submission deadline is *extended* to October 1, 2021 (Anywhere on Earth). Like previous editions, the goal of the NewInML workshop NeurIPS 2021 is to provide young researchers with the guidance they need to contribute to machine learning research fully and effectively. We are targeting anyone who has not published a paper at the NeurIPS main conference yet. We invited top researchers to review submitted work and share their experience. Accepted papers could expect further coaching and mentorship, submitted papers can then be revised and submitted to NeurIPS 2022 main conference. Submissions should respect the NeurIPS format and instructions: https://nips.cc/Conferences/2021/CallForPapers. Submissions are limited to 9 content pages, including all figures and tables; additional pages containing the NeurIPS paper checklist and references are allowed. Shorter papers with enough good contents are also welcome. Please check https://sunhaozhe.github.io/NewInML2021_NeurIPS/ for more details! You are welcome to forward this message to anyone (collaborators, friends, students, etc.) who might be interested! Thanks in advance! Sincerely, The NewInML Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.chalup at newcastle.edu.au Sun Sep 26 20:58:54 2021 From: stephan.chalup at newcastle.edu.au (Stephan Chalup) Date: Mon, 27 Sep 2021 00:58:54 +0000 Subject: Connectionists: PhD scholarship (International, Australia)): Machine Learning for Grinding Mill Design Optimisation Message-ID: <44ABF017-0CA3-49AA-B7B1-CB44F32B7EF3@newcastle.edu.au> PhD Scholarship: Machine Learning for Grinding Mill Design Optimisation This project aims to apply machine learning in combination with programmable mechanical design modelling software to automatically optimise grinding mill geometries for desired operational outcomes. The machine learning component will address deep reinforcement learning as an innovative technology in this application domain. The project will be conducted in close collaboration with industry partner Bradken in Newcastle. The PhD candidate will be part of an interdisciplinary team of researchers from engineering, computer science and industrial researchers. The candidate should have good programming skills, knowledge in machine learning and engineering judgement. The project will require design and training of deep neural networks where existing libraries can be combined with new implementations. One of the core techniques is reinforcement learning. The PhD project is part of ARC LP190100378 https://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP190100378 Scholarship details: https://www.newcastle.edu.au/study/research/phd-scholarships/phd-scholarships/machine-learning-for-grinding-mill-design-optimisation Contact: Associate Professor Stephan Chalup Deputy Director, Priority Research Centre for Computer-Assisted Research Mathematics and Its Applications (CARMA) School of Information and Physical Sciences The University of Newcastle Callaghan NSW 2308, Australia https://www.newcastle.edu.au/profile/stephan-chalup -------------- next part -------------- An HTML attachment was scrubbed... URL: From frank.tong at Vanderbilt.Edu Fri Sep 24 10:35:10 2021 From: frank.tong at Vanderbilt.Edu (Tong, Frank) Date: Fri, 24 Sep 2021 14:35:10 +0000 Subject: Connectionists: Postdoctoral Position in Medical Image Perception, Vanderbilt University Message-ID: <6381901D-A02F-4AF1-8832-FC331461FA81@vanderbilt.edu> A postdoctoral position is available in Dr. Frank Tong?s lab in the Department of Psychology at Vanderbilt University to pursue behavioral and computational studies of medical image perception. This project focuses on characterizing the visual-cognitive mechanisms underlying radiological expertise in lung nodule detection. The project is funded by an NIH R01 grant from the National Cancer Institute. Candidates should have a PhD with expertise in one of more of the following areas: visual perception, psychophysical methods, image processing and analysis, computational modeling and/or deep learning. Candidates should be fluent and versatile at coding in MATLAB and/or Python. We seek individuals who enjoy working on challenging problems with enthusiasm and creative rigor in a collaborative team-based environment. The postdoctoral fellow will also have opportunities to pursue collaborative projects on human visual perception, object recognition, and computational neuroscience. This position is open to both US citizens and foreign nationals. Start date is flexible. For more information about the lab, see: http://www.psy.vanderbilt.edu/tonglab/web/Home.html Applicants should send a short cover letter, CV, and names of three references to frank.tong at vanderbilt.edu. Vanderbilt University is an Equal Opportunity/Affirmative Action Employer. ------------------------------------ Frank Tong Centennial Professor of Psychology Department of Psychology Vanderbilt University 301 Wilson Hall 111 21st Ave South Nashville, TN 37240 tel: 615-322-1780 fax: 615-343-8449 email: frank.tong at vanderbilt.edu web: http://www.psy.vanderbilt.edu/tonglab/index.html From alice.tomassini at gmail.com Mon Sep 27 05:02:07 2021 From: alice.tomassini at gmail.com (Alice Tomassini) Date: Mon, 27 Sep 2021 11:02:07 +0200 Subject: Connectionists: Pre-doctoral Fellowship - Neurophysiology of Interpersonal Movement Coordination @ Italian Institute of Technology (IIT) Message-ID: The Italian Institute of Technology (IIT) is offering a Pre-doctoral Fellowship to work on the Neurophysiology of Interpersonal Movement Coordination. 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. The Multiscale Brain Communication Research line is coordinated by Luciano Fadiga, who has extensive experience in the neurophysiology of movement, with particular interest in the mechanisms underlying action understanding for interpersonal coordination. The research focuses on the neural mechanisms responsible for our capacity to communicate with others. This includes the development of new brain interfaces, specifically conceived for human use, to transduce and computationally decode neural signals. Within the team, your main responsibilities will be: ? Support in the collection of behavioral/kinematic (Mocap) and neurophysiological (EEG) data in tasks involving dyadic coordination ? Support in data analysis This open position/research is financed by the BIAL Foundation within the ?The hidden rhythm of interpersonal (sub-)movement coordination? project awarded to Dr. Alice Tomassini. Please submit your application using the online form (https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2100005X ) and including a detailed CV, university transcripts, cover letter (outlining motivation, experience and qualifications). Application deadline: October 11th , 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Sep 27 11:19:38 2021 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Mon, 27 Sep 2021 15:19:38 +0000 Subject: Connectionists: NEURAL NETWORKS, Oct. 2021 Message-ID: Neural Networks - Volume 142, October 2021 https://www.journals.elsevier.com/neural-networks H_infinity synchronization of delayed neural networks via event-triggered dynamic output control Yachun Yang, Zhengwen Tu, Liangwei Wang, Jinde Cao, ... Wenhua Qian Non-native acoustic modeling for mispronunciation verification based on language adversarial representation learning Longfei Yang, Kaiqi Fu, Jinsong Zhang, Takahiro Shinozaki Optimal attention tuning in a neuro-computational model of the visual cortex?basal ganglia?prefrontal cortex loop Oliver Maith, Alex Schwarz, Fred H. Hamker Growth strategy determines the memory and structural properties of brain networks Ana P. Millan, Joaquin J. Torres, Samuel Johnson, J. Marro Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns C. Goelz, K. Mora, J. Rudisch, R. Gaidai, ... S. Vieluf A neuromimetic realization of hippocampal CA1 for theta wave generation Nima Salimi-Nezhad, Mohammad Hasanlou, Mahmood Amiri, Georgios A. Keliris Task-relevant and task-irrelevant variability causally shape error-based motor learning Lucas Rebelo Dal'Bello, Jun Izawa Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks Alexandros Goulas, Fabrizio Damicelli, Claus C. Hilgetag Spatial information transfer in hippocampal place cells depends on trial-to-trial variability, symmetry of place-field firing, and biophysical heterogeneities Ankit Roy, Rishikesh Narayanan FastGAE: Scalable graph autoencoders with stochastic subgraph decoding Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu Generalized two-dimensional linear discriminant analysis with regularization Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng Flexible multi-view semi-supervised learning with unified graph Zhongheng Li, Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie Probabilistic learning vector quantization on manifold of symmetric positive definite matrices Fengzhen Tang, Haifeng Feng, Peter Tino, Bailu Si, Daxiong Ji Why grid cells function as a metric for space Suogui Dang, Yining Wu, Rui Yan, Huajin Tang Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations Yadi Wang, Jun Wang, Hangjun Che Robot navigation as hierarchical active inference Ozan ?atal, Tim Verbelen, Toon Van de Maele, Bart Dhoedt, Adam Safron Efficient learning with augmented spikes: A case study with image classification Shiming Song, Chenxiang Ma, Wei Sun, Junhai Xu, ... Qiang Yu Self-selective attention using correlation between instances for distant supervision relation extraction Yanru Zhou, Limin Pan, Chongyou Bai, Senlin Luo, Zhouting Wu Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution Huiling Xu, Wei Xia, Quanxue Gao, Jungong Han, Xinbo Gao Anti-transfer learning for task invariance in convolutional neural networks for speech processing Eric Guizzo, Tillman Weyde, Giacomo Tarroni Streaming cascade-based speech translation leveraged by a direct segmentation model Javier Iranzo-Sanchez, Javier Jorge, Pau Baquero-Arnal, Joan Albert Silvestre-Cerda, ... Alfons Juan Adaptive ensemble perception tracking Zikun Zhou, Nana Fan, Kai Yang, Hongpeng Wang, Zhenyu He Candidate region aware nested named entity recognition Deng Jiang, Haopeng Ren, Yi Cai, Jingyun Xu, ... Ho-fung Leung Self-spectral learning with GAN based spectral?spatial target detection for hyperspectral image Weiying Xie, Jiaqing Zhang, Jie Lei, Yunsong Li, Xiuping Jia Spectral embedding network for attributed graph clustering Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu Learning to reweight examples in multi-label classification Yongjian Zhong, Bo Du, Chang Xu Selective ensemble-based online adaptive deep neural networks for streaming data with concept drift Husheng Guo, Shuai Zhang, Wenjian Wang Capped L2,p-norm metric based robust least squares twin support vector machine for pattern classification Chao Yuan, Liming Yang An efficient encoder?decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data Faisal Khan, Shahid Hussain, Shubhajit Basak, Joseph Lemley, Peter Corcoran Instance elimination strategy for non-convex multiple-instance learning using sparse positive bags Min Yuan, Yitian Xu, Renxiu Feng, Zongmin Liu Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation Junzhong Ji, Ye Liang, Minglong Lei A CNN model embedded with local feature knowledge and its application to time-varying signal classification Ruiping Yang, Xianyu Zha, Kun Liu, Shaohua Xu Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints Francesco Tonin, Panagiotis Patrinos, Johan A.K. Suykens Cluster synchronization of delayed coupled neural networks: Delay-dependent distributed impulsive control Xiaoyu Zhang, Chuandong Li, Zhilong He Towards a mathematical framework to inform neural network modelling via polynomial regression Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo, Inaki Ucar Novel criteria for global robust stability of dynamical neural networks with multiple time delays Emel Arslan Probabilistic robustness estimates for feed-forward neural networks Nicolas Couellan Statistical guarantees for regularized neural networks Mahsa Taheri, Fang Xie, Johannes Lederer Multistability and associative memory of neural networks with Morita-like activation functions Yuanchu Shen, Song Zhu, Xiaoyang Liu, Shiping Wen Arguments for the unsuitability of convolutional neural networks for non-local tasks Sebastian Stabinger, David Peer, Antonio Rodriguez-Sanchez Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto Event-triggered adaptive neural networks control for fractional-order nonstrict-feedback nonlinear systems with unmodeled dynamics and input saturation Boqiang Cao, Xiaobing Nie Predefined-time synchronization of competitive neural networks Chuan Chen, Ling Mi, Zhongqiang Liu, Baolin Qiu, ... Lijuan Xu Novel methods to global Mittag-Leffler stability of delayed fractional-order quaternion-valued neural networks Hongyun Yan, Yuanhua Qiao, Lijuan Duan, Jun Miao Deep ReLU neural networks in high-dimensional approximation Dinh D?ng, Van Kien Nguyen Exact coexistence and locally asymptotic stability of multiple equilibria for fractional-order delayed Hopfield neural networks with Gaussian activation function Xiaobing Nie, Pingping Liu, Jinling Liang, Jinde Cao Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics Alberto Racca, Luca Magri H-VECTORS: Improving the robustness in utterance-level speaker embeddings using a hierarchical attention model Yanpei Shi, Qiang Huang, Thomas Hain Capturing the grouping and compactness of high-level semantic feature for saliency detection Ying Ying Zhang, HongJuan Wang, XiaoDong Lv, Ping Zhang Unsupervised multi-sense language models for natural language processing tasks Jihyeon Roh, Sungjin Park, Bo-Kyeong Kim, Sang-Hoon Oh, Soo-Young Lee Distributed-force-feedback-based reflex with online learning for adaptive quadruped motor control Tao Sun, Zhendong Dai, Poramate Manoonpong An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation Wei Yu, Tao Chang, Xiaoting Guo, Mengzhu Wang, Xiaodong Wang Subspace-based predictive control of Parkinson's disease: A model-based study Mahboubeh Ahmadipour, Mojtaba Barkhordari-Yazdi, Saeid R. 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URL: From donatello.conte at univ-tours.fr Mon Sep 27 11:56:37 2021 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Mon, 27 Sep 2021 17:56:37 +0200 Subject: Connectionists: 2nd CfP for Graph Models for Learning and Recognition (GMLR) Track at 37th ACM-SAC 2022 in Brno, Czech Republic Message-ID: <00b501d7b3b8$40a6b320$c1f41960$@univ-tours.fr> --------------------------------------------------------- Apologies for multiples copies --------------------------------------------------------- Call for Papers Graph Models for Learning and Recognition (GMLR) Track The 37th ACM Symposium on Applied Computing (SAC 2022) April 25-29, 2022, Brno, Czech Republic http://phuselab.di.unimi.it/GMLR2022 Important Dates Submission of regular papers: October 15, 2021 Notification of acceptance/rejection: December 10, 2021 Camera-ready copies of accepted papers: December 21, 2021 SAC Conference: April 25 - 29, 2022 Scientific Program Committee (in progress) Davide Boscaini Federico Castelletti Vittorio Cuculo Alessandro D?Amelio Gabriele Gianini Alessio Micheli Ryan A. Rossi Carlo Vercellis Naoufel Werghi Motivations and topics The ACM Symposium on Applied Computing (SAC 2022) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2022 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Brno, Czech Republic. The technical track on Graph Models for Learning and Recognition (GMLR) is the first edition and is organized within SAC 2022. Graphs have gained a lot of attention in the pattern recognition community thanks to their ability to encode both topological and semantic information. Encouraged by the success of CNNs, a wide variety of methods have redefined the notion of convolution for graphs. These new approaches have in general enabled effective training and achieved in many cases better performances than competitors, though at the detriment of computational costs. Typical examples of applications dealing with graph-based representation are: scene graph generation, point clouds classification, and action recognition in computer vision; text classification, inter-relations of documents or words to infer document labels in natural language processing; forecasting traffic speed, volume or the density of roads in traffic networks, whereas in chemistry researchers apply graph-based algorithms to study the graph structure of molecules/compounds. This track intends to focus on all aspects of graph-based representations and models for learning and recognition tasks. GMLR spans, but is not limited to, the following topics: ? Graph Neural Networks: theory and applications ? Deep learning on graphs ? Graph or knowledge representationa learning ? Graphs in pattern recognition ? Graph databases and linked data in AI ? Benchmarks for GNN ? Dynamic, spatial and temporal graphs ? Graph methods in computer vision ? Human behavior and scene understanding ? Social networks analysis ? Data fusion methods in GNN ? Efficient and parallel computation for graph learning algorithms ? Reasoning over knowledge-graphs ? Interactivity, explainability and trust in graph-based learning ? Probabilistic graphical models ? Biomedical data analytics on graphs Authors of selected top papers of this track will be asked to publish an extended version in a Special Issue of a Journal (the journal will be announced soon). Submission Guidelines Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Please, visit the website for more information about submission SAC No-Show Policy Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. Track Chairs Donatello Conte (University of Tours) Giuliano Grossi (University of Milan) Raffaella Lanzarotti (University of Milan) Jianyi Lin (Universit? Cattolica del Sacro Cuore) Jean-Yves Ramel (University of Tours) -------------- next part -------------- An HTML attachment was scrubbed... URL: From thanh.dinhvan at gmail.com Mon Sep 27 10:45:08 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Mon, 27 Sep 2021 21:45:08 +0700 Subject: Connectionists: KR 2021: Call for Participation (Deadline to register: October 15) Message-ID: <3c1bb132-7484-9d59-fdab-30c4965b9a59@gmail.com> CALL FOR PARTICIPATION 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021) November 3-12, 2021 - Virtual https://kr2021.kbsg.rwth-aachen.de/ *** Registration is free but mandatory (deadline: October 15, 2021) *** Knowledge Representation and Reasoning (KR) is a well-established and lively field of research.? In KR, a fundamental assumption is that an agent's knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. This assumption, that much of what an agent deals with is knowledge-based, is common in many modern intelligent systems.? Consequently, KR has contributed to the theory and practice of various areas in AI, including automated planning and natural language understanding, and to fields beyond AI, including databases, verification, software engineering, and robotics. In recent years, KR has contributed also to new and emerging fields, including the semantic web, computational biology, cyber security, and the development of software agents. The KR conference series is the leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge. CONFERENCE FORMAT AND REGISTRATION KR 2021 will be organized as a virtual conference and welcomes all researchers interested in KR to participate! We are happy to announce that participation is *free*. The deadline for registering is October 15, 2021. Information about how to register for the main conference and associated events can be found at: https://kr2021.kbsg.rwth-aachen.de/page/registration There will be also be a limited-capacity *live gathering* in Rome to watch the conference and exchange with other participants. For details, consult: https://kr2021.kbsg.rwth-aachen.de/page/live_gathering_in_rome The list of papers accepted at the main conference and the Doctoral Consortium can also be found on the conference webpage. INVITED SPEAKERS * Martin Grohe (RWTH Aachen University, Germany) * Jochen Renz? (Australian National University, Australia) * Uli Sattler? (University of Manchester, UK) * Joshua Tenenbaum? (MIT, USA) * Francesca Toni? (Imperial College, UK) TRACKS & SPECIAL SESSIONS * Applications and Systems Track * Recent Published Research Track * Special Session: KR and Machine Learning * Special Session: KR and Robotics * Special Session: Diversity and Inclusion WORKSHOPS * Explainable Logic-Based Knowledge Representation (XLoKR) * Computational Machine Ethics (CME) *? Knowledge Representation for Hybrid and Compositional AI (KRHCAI) *? Ontology Uses and Contribution to Artificial Intelligence (OnUCAI) *? Second-Order Quantifier Elimination and Related Topics (SOQE) *? Semantics-Powered Health Data Analytics (SEPDA) TUTORIALS * Answer Set Programming: From Theory to Practice ? by Roland Kaminski, Javier Romero, Torsten Schaub & Philipp Wanko * Belief Revision and Judgment Aggregation in Ontologies ? by Jake Chandler and Richard Booth * Completeness, Recall, and Negation in Open-World Knowledge Bases ? by Simon Razniewski, Hiba Arnaout, Shrestha Ghosh & Fabian M. Suchanek * Complex Event Recognition and Forecasting ?by Elias Alevizos and Alexander Artikis * KR&R Meets Cyber-Physical Systems: Formalization, Behavior, Trustworthiness ?by Marcello Balduccini, Edward Griffor & Tran Cao Son * Planning with multi-agent, flexible, temporal, epistemic & contingent ?(MAFTEC) aspects ?by Aur?lie Beynier, Fr?d?ric Maris & Francois Schwarzentruber * Proof-Theoretic Approaches to Logical Argumentation ?by Ofer Arieli & Christian Strasser * Solving equations in modal and description logics ?by Philippe Balbiani CO-LOCATED EVENTS * NMR 2021 (20th International Workshop on Non-Monotonic Reasoning) CONFERENCE CHAIRS General: * Esra Erdem (Sabanci University, Turkey) Program: * Meghyn Bienvenu (CNRS & University of Bordeaux, France) * Gerhard Lakemeyer (RWTH Aachen University, Germany) Applications and Systems Track: * Martin Gebser (University of Klagenfurt, Austria) * Ulrike Sattler (University of Manchester, UK) Recently Published Research Track: * Vladimir Lifschitz (University of Texas at Austin, USA) * Pierre Marquis (Artois University & Institut Universitaire de France, France) Special Session on KR & Machine Learning: * Vaishak Belle (University of Edinburgh, UK) * Luc de Raedt (KU Leuven, Belgium) Special Session on KR & Robotics: * Alessandro Saffioti (University of ?rebro, Sweden) * Mary-Anne Williams (University of Technology Sydney, Australia) Workshop and Tutorials: * Markus Kroetzsch (TU Dresden, Germany) * Yongmei Liu (Sun Yat-sen University, China) Doctoral Consortium: * Jens Classen (Simon Fraser University) * Magdalena Ortiz (TU Vienna, Austria) Local Organization: * Giuseppe De Giacomo (Sapienza University, Italy) * Son Tran (New Mexico State University, USA) * Long Tran-Thanh (University of Warwick, UK) * Thanh Van Dinh (East Asia University of Technology, Vietnam) Virtual Conference Arrangements: * Stefan Borgwardt (TU Dresden, Germany) * Marco Console (Sapienza University Italy) * Long Tran-Thanh (University of Warwick, UK) Sponsorship: * Kuldeep S. Meel (NUS, Singapore) * Zeynep G. Saribatur (TU Wien, Austria) Publicity: * Thanh Van Dinh (East Asia University of Technology, Vietnam) * Paolo Felli (Free University of Bozen-Bolzano, Italy) Diversity and Inclusion: * Magdalena Ortiz (TU Vienna, Austria) * Maria Vanina Martinez (Universidad de Buenos Aires, Argentina) * Marco Maratea (University of Genova, Italy) From kordjams at msu.edu Mon Sep 27 22:08:09 2021 From: kordjams at msu.edu (Kordjamshidi, Parisa) Date: Tue, 28 Sep 2021 02:08:09 +0000 Subject: Connectionists: CFP: The AAAI-2022 workshop on "Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR)" References: <91402215-7CA9-4F37-98E1-56ABD2D97713@msu.edu> Message-ID: --------------------------------------------------------------- CALL FOR PAPERS ---------------------------------------------------------------- The Workshop on "Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR)" @AAAI-2022, February 22-March 1, 2022, Vancouver, BC, Canada. https://clear-workshop.github.io Submission Deadline: November 12th, 2021. --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- Description: This workshop brings together researchers from divers backgrounds with different perspectives to discuss languages, formalisms and representations that are appropriate for combining learning and reasoning. The workshop aims at bridging formalisms for learning and reasoning such as neural and symbolic approaches, probabilistic programming, differentiable programming, Statistical Relation Learning and using non-differentiable optimization in deep models. It highlights the importance of declarative languages that enable such integration for covering multiple formalisms at a high-level and points to the need for building a new generation of ML tools to help domain experts in designing complex models where they can declare their knowledge about the domain and use data-driven learning models based on various underlying formalisms. This workshop wants to emphasize on the importance of integrative paradigms for solving the new wave of AI applications. --------------------------------------------------------------- TOPICS OF INTEREST --------------------------------------------------------------- The main research questions and topics of interest include, but are not limited to: - Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms - Integration of probabilistic inference in training deep models - Integration of neuro and symbolic approaches - Integration of logical inference in training deep models - Integration of Deep Learning and Relational Learning - Integration of Deep learning and Constraint programming - Declarative languages and diffrentiable programming, - Integration of declarative and procedural domain knowledge in learning, - Integration of non-differentiable optimization models in learning. --------------------------------------------------------------- INVITED SPEAKERS --------------------------------------------------------------- Bryan Wilder , Carnegie Mellon University Sriraam Natarajan, University of Texas at Dallas Kevin Ellis, Cornell University More speakers TBD -------------------------------------------------------------- IMPORTANT DATES --------------------------------------------------------------- Submission Deadline November 12, 2021 Notification December 4, 2021 Camera Ready December 15, 2021 Workshop Day February 28-March 1, 2022 --------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS --------------------------------------------------------------- We allow both short (2-4 pages) and long papers (6-8 pages) papers. We might accept extended abstracts of recently published work too. Please follow the same guidelines of AAAI 2022 submission format for this workshop [https://aaai.org/Conferences/AAAI-22/submission-guidelines/]. This can be found at AAAI 2022 submission guidelines. We encourage authors to use the Latex template of AAAI 2022 for a cleaner and better format f or submission. The submissions are accepted through OpenReview platform and the reviews of the papers will be available publicly through the same platform. To submit your paper, please follow OpenReview Submission Link [https://openreview.net/group?id=AAAI.org/2022/Workshop/CLeaR]. --------------------------------------------------------------- STUDENT SUPPORT --------------------------------------------------------------- Thanks to our sponsor, CLeaR workshop provides financial aid to student authors/presenters if they need, in particular to support underrepresented minorities and developing countries. See the website for more information. --------------------------------------------------------------- ORGANIZING COMMITTEE --------------------------------------------------------------- Parisa Kordjamshidi, Michigan State University, kordjams at msu.edu; Behrouz Babaki, Mila/HEC Montreal, behrouz.babaki at mila.quebec; Sebastijan Duman?i?, Delft University of Technology, S.Dumancic at tudelft.nl; Alex Ratner, University of Washington, ajratner at cs.washington.edu; Hossein Rajaby Faghihi, Michigan State University, rajabyfa at msu.edu; Hamid Karimian, Michigan State University, karimian at msu.edu. --------------------------------------------------------------- ADVISING COMMITTEE --------------------------------------------------------------- Dan Roth, University of Pennsylvania, danroth at seas.upenn.edu; Guy Van Den Broeck, University of California Los Angeles, guyvdb at cs.ucla.edu. --------------------------------------------------------------- CONTACT --------------------------------------------------------------- clear-workshop at googlegroups.com Best regards, Parisa ------------------------------------------------ Kordjamshidi, Parisa Assistant Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ Heterogeneous Learning & Reasoning Lab: https://hlr.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From rosemary.nan.ke at gmail.com Mon Sep 27 23:38:54 2021 From: rosemary.nan.ke at gmail.com (Nan Rosemary Ke) Date: Mon, 27 Sep 2021 23:38:54 -0400 Subject: Connectionists: 1st ever conference on Causal Learning and Reasoning conference (CLearR) Message-ID: We are excited to announce the call for papers for the first ever *causal learning and reasoning Conference *CLeaR . The conference is aimed at work in causal learning and the intersection of causal learning and machine learning. The submission deadline is: *Oct 22nd, 2021*, we look forward to seeing your work at the conference :) See below for details. ========= CLeaR conference ============= Causality is a fundamental notion in science and engineering. In the past few decades, some of the most influential developments in the study of causal discovery, causal inference, and the causal treatment of machine learning have resulted from cross-disciplinary efforts. In particular, a number of machine learning and statistical analysis techniques have been developed to tackle classical causal discovery and inference problems. On the other hand, the causal view has been shown to be able to facilitate formulating, understanding, and tackling a number of hard machine learning problems in transfer learning, reinforcement learning, and deep learning. We invite submissions to the *1st conference on Causal Learning and Reasoning (CLeaR)*, and welcome paper submissions that describe new theory, methodology, and/or applications relevant to any aspect of causal learning and reasoning in the fields of artificial intelligence and statistics. Submitted papers will be evaluated based on their novelty, technical quality, and potential impact. Experimental methods and results are expected to be reproducible, and authors are strongly encouraged to make code and data available. We also encourage submissions of proof-of-concept research that puts forward novel ideas and demonstrates potential for addressing problems at the intersection of causality and machine learning. Topics of submission may include, but are not limited to: Machine learning building on causal principles Causal discovery in complex environments Efficient causal discovery in large-scale datasets Causal effect identification and estimation Causal generative models for machine learning Unsupervised and semi-supervised deep learning connected to causality Machine learning with heterogeneous data sources Benchmark for causal discovery and causal reasoning Reinforcement learning Fairness, accountability, transparency, explainability, trustworthiness, and recourse Applications of any of the above to real-world problems. Rosemary Ke, on behalf of all CLeaR organizers [image: clear_logo (1).png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: clear_logo (1).png Type: image/png Size: 185286 bytes Desc: not available URL: From imprsis at tuebingen.mpg.de Tue Sep 28 06:32:57 2021 From: imprsis at tuebingen.mpg.de (IMPRS IS) Date: Tue, 28 Sep 2021 12:32:57 +0200 Subject: Connectionists: Funded Ph.D. Positions at the International Max Planck Research School for Intelligent Systems Message-ID: The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and T?bingen collaborate to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its sixth generation of Ph.D. students in spring of 2022. This school is a key element of Baden-W?rttemberg?s Cyber Valley initiative to accelerate basic research and commercial development in artificial intelligence and robotics. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as: ? Biomedical Technology ? Computational Cognitive Science ? Computer Vision and Graphics ? Control Systems and Optimization ? Data Science ? Haptics and Human-Computer Interaction ? Machine Learning ? Micro- and Nano-Robotics ? Neuroscience ? Perceptual Inference ? Robotics and Human-Robot Interaction ? Soft Robotics and Materials The participating faculty are Aamir Ahmad, Zeynep Akata, Frank Allg?wer, Alexander Badri-Spr?witz, Robert Bamler, Christian F. Baumgartner, Philipp Berens, Matthias Bethge, Michael J. Black, Wieland Brendel, Andr?s Bruhn, Andreas Bulling, Paul-Christian B?rkner, Martin Butz, Caterina De Bacco, Christian Ebenbauer, Benedikt V. Ehinger, Peer Fischer, Andreas Geiger, Martin A. Giese, Moritz Hardt, Daniel H?ufle, Matthias Hein, Philipp Hennig, Ardian Jusufi, Christoph Keplinger, Katherine J. Kuchenbecker, Hendrik Lensch, Falk Lieder, Nicole Ludwig, Jakob Macke, Setareh Maghsudi, Georg Martius, Michael M?hlebach, Gerard Pons-Moll, Michael Pradel, Tian Qiu, C. David Remy, Samira Samadi, Syn Schmitt, Bernhard Sch?lkopf, Gabriele Schweikert, Michael Sedlmair, Fabian Sinz, Metin Sitti, Steffen Staab, Ingo Steinwart, J?rg St?ckler, Justus Thies, Benjamin Unger, Ulrike von Luxburg, Felix Wichmann, Bob Williamson, Thomas Wortmann, and Charley M. Wu. Associated faculty include R. Harald Baayen, Peter Dayan, Alexander Ecker, Jonathan Fiene, Bedartha Goswami, Ksenia Keplinger, Miriam Klopotek, Anna Levina, Jim Mainprice, Kay Nieselt, Peter Ochs, Mijung Park, Nico Pfeifer, Peter Pott, Gunther Richter, Ludovic Righetti, Marc Toussaint, Sebastian Trimpe, Isabel Valera, Maria Wirzberger, and Li Zhaoping. Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. We seek doctoral students who are curious, creative, and passionate about research to join our school and help advance human knowledge about intelligent systems. ? Admitted Ph.D. students can join our program starting in spring of 2022. ? You will be mentored by our internationally renowned faculty. ? You will register as a university doctoral student and conduct research. ? IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. ? All aspects of our program are in English. ? Your doctoral degree will be conferred when you successfully complete your Ph.D. project. ? Our dedicated staff members will assist you throughout your time as a doctoral student. People with a strong academic background and a master?s degree (conferred or expected soon) in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions. Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at https://imprs.is.mpg.de/application before 11:59 p.m. (23:59) CET on November 1, 2021. Finalists will be invited to selection interviews that will take place online from January 18 to January 21, 2022. For further information, please visit https://imprs.is.mpg.de From stephan.petrone at gmail.com Tue Sep 28 11:46:48 2021 From: stephan.petrone at gmail.com (Stephan Petrone) Date: Tue, 28 Sep 2021 17:46:48 +0200 Subject: Connectionists: 14th Metaheuristics International Conference, 11-14 July 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 2021, Ortigia-Syracuse, Italy https://www.ANTs-lab.it/mic2022/ ********************************************************* ** Submission deadline: 30th March 2022 ** *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 ======================== + Holger H. Hoos, Leiden University, The Netherlands + Christian Blum, Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC) More Plenary Speakers will be announced soon. *Relevant Research Areas ======================== MIC 2022 solicits contributions dealing with any aspect of metaheuristics. Typical, but not exclusive, topics of interest are: + Metaheuristic techniques such as tabu search, simulated annealing, iterated local search, variable neighborhood search, memory-based optimization, dynamic local search, evolutionary algorithms, memetic algorithms, ant colony optimization, variable neighborhood search, particle swarm optimization, scatter search, path relinking, etc. + Techniques that enhance the usability and increase the potential of metaheuristic algorithms such as reactive search mechanisms for self-tuning, offline metaheuristic algorithm configuration techniques, algorithm portfolios, parallelization of metaheuristic algorithms, etc. + Empirical and theoretical research in metaheuristics including large-scale experimental analyses, algorithm comparisons, new experimental methodologies, engineering methodologies for metaheuristic algorithms, search space analysis, theoretical insights into properties of metaheuristic algorithms, etc. + High-impact applications of metaheuristics in fields such as bioinformatics, electrical and mechanical engineering, telecommunications, sustainability, business, scheduling and timetabling. Particularly welcome are innovative applications of metaheuristic algorithms that have a potential of pushing research frontiers. + Contributions on the combination of metaheuristic techniques with those from other areas, such as integer programming, constraint programming, machine learning, etc. + Contributions on the use of metaheuristic techniques in machine learning and deep learning for finetuning and neural architecture search, etc. + Challenging applications areas such as continuous, mixed discrete-continuous, multi-objective, stochastic, or dynamic problems. 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 =================== We will accept submissions in three different formats. S1) Original research contributions for publication in the conference proceedings of a maximum of 10 pages S2) Extended abstracts of work-in-progress and position papers on an important research aspect of a maximum of 3 pages S3) High-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication Accepted contributions of categories S1 and S2 will be published in the MIC 2022 conference proceedings. Accepted contributions of category S3 will be orally presented at the conference, but not be included into the conference proceedings. -------------- next part -------------- An HTML attachment was scrubbed... URL: From contact at sscc.fr Tue Sep 28 13:20:14 2021 From: contact at sscc.fr (SSCC) Date: Tue, 28 Sep 2021 19:20:14 +0200 Subject: Connectionists: [SSCC] Call for Papers (Symposium on Solutions for Smart Cities Challenges) Message-ID: <004501d7b48d$259ccb20$70d66160$@sscc.fr> Symposium on Solutions for Smart Cities Challenges (SSCC 2021) Gandia, Spain. December 6-9, 2021 (Hybrid) https://www.sscc.fr/sscc2021 Internet of Things (IoT) is used to collect and exchange massive data. This technology promises an immense potential for improving the quality of life, healthcare, manufacturing, transportation, etc. The use of the IoT in smart buildings has a great importance and promising outcomes with a direct impact on our society. Researchers and industrial partners have achieved several applications where they have leveraged various enabling technologies for service enhancement. Many sectors in a smart city can benefit from an enhanced data collection and effective data analysis process done on the data gathered from these smart building devices that mainly consist of HVAC systems. However, the incremental number of connected IoT devices request a scalable and robust network. Consequently, it rises the attack surfaces of devices as well as their connections, which make them more exposed to internal and external attacks. In this context, the challenging issue is how constructing a secure IoT network and preserving its resiliency. SSCC2021 invites submissions discussing the employment of smart solutions and approaches in smart cities. Topics of either theoretical, empirical or applied interest include, but are not limited to: Safety, Security, and Resilience . Smart networks for smart cities . Security management in smart cities . Security in distributed systems . Modeling, analysis and detection of IoT attacks . Data mining for cybersecurity in smart cities . Decentralized architecture for smart cities . Consensus protocols and applications IoT & AI . IoT Indoor deployment . IoT communication protocols . Building information modeling (BIM) IoT-based HVAC control in smart buildings . Artificial Intelligence in Cyber Physical Energy Systems . Optimization for IoT and smart cities . Dynamic scheduling for IoT deployment . Autonomous and Smart decisions Edge and Cloud . Cloud-Edge for IoT and smart cities . Fog and Edge computing for smart cities . Applications/services for Edge AI . Software Platforms for Edge Social aspects and applications . Behavioral and Energy Consumption Analytics . Indoor comfort . Human factors and organizational resilience for distributed systems Important Dates . Paper Submission Date: 31 October, 2021 . Notification to Authors: 15 November, 2021 . Camera Ready Submission: 21 December 2021 Submission System https://easychair.org/conferences/?conf=sscc2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Tue Sep 28 10:44:23 2021 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Tue, 28 Sep 2021 10:44:23 -0400 Subject: Connectionists: illusion submission deadline EXTENDED until October 4th: the 2021 Best Illusion of the Year Contest In-Reply-To: <032c01d7b476$c59313d0$50b93b70$@neuralcorrelate.com> References: <032c01d7b476$c59313d0$50b93b70$@neuralcorrelate.com> Message-ID: <039b01d7b477$573bbe40$05b33ac0$@neuralcorrelate.com> ***Due to popular demand and in consideration of difficulties imposed by the Covid-19 pandemic*** The deadline for the 17th annual Best Illusion of the YearSM Contest has been extended. The FINAL submission date is now *Monday, October 4th* http://illusionoftheyear.com We are happy to announce the 17th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube or mp4 videos featuring novel illusions (unpublished or published no earlier than 2020) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. Novel variants of known illusions are welcome. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2021 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until October 4th, 2021. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Tue Sep 28 11:56:54 2021 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Tue, 28 Sep 2021 17:56:54 +0200 Subject: Connectionists: Postdoc position at the University of Venice (Italy) Message-ID: We are looking for a highly-motivated and experienced candidate for a postdoc position within the *RePAIR* H2020 project ("Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage"): https://cordis.europa.eu/project/id/964854 The research will be conducted at the University of Venice (project coordinator) in collaboration with a high-profile international consortium, and will be focused on developing advanced *computer vision and machine learning algorithms for the reconstruction of large broken frescos*. - Duration: *12 months (renewable)* - Salary: *34.3K Euros* - Deadline for application: *October 15, 2021* More information about the position (and instructions on how to apply) can be found here: https://apps.unive.it/common2/file/download/assegni_ricerca/61516d14e638f (English version) https://apps.unive.it/common2/file/download/assegni_ricerca/61516d14e5e80 (Italian version) Useful information about the Italian academic system can be found here: https://www.unive.it/pag/28008/ -- Marcello Pelillo, *FIEEE, FIAPR, FAAIA* Professor of Computer Science Ca' Foscari University of Venice, Italy IEEE SMC Distinguished Lecturer Specialty Chief Editor, *Computer Vision - Frontiers in Computer Science* -------------- next part -------------- An HTML attachment was scrubbed... URL: From Yuri.A.Dabaghian at uth.tmc.edu Tue Sep 28 21:07:15 2021 From: Yuri.A.Dabaghian at uth.tmc.edu (Dabaghian, Yuri A) Date: Wed, 29 Sep 2021 01:07:15 +0000 Subject: Connectionists: Postdoctoral Associate in Neural Circuits of Learning and Memory Message-ID: NIH-funded postdoctoral position is immediately available in the group of Dr. Yuri Dabaghian the Department of Neurology at McGovern Medical School of the University of Texas, Houston. We are looking for scientists with research interests at the intersection of mathematics, physics, and neuroscience, in the general area of emergent phenomena and representations, network dynamics, topological data analyses. Some projects aim to explain electrophysiological data patterns, some are theoretically motivated. Specifically, we are interested in circuit mechanisms of learning and memory and their involvement in neurological disorders, notably Alzheimer's Disease. Successful candidate will develop data-driven hippocampal neuronal network models explaining spatial learning dynamics, develop and creatively apply tools for the data analysis including novel methods of brain waves (EEG) analyses, Topological Data Analysis of spiking data, etc. The Position requires strong background in quantitative disciplines (PhD and ongoing interest in computational or theoretical neuroscience, physics, mathematics, or related), plus willingness to do programming and to analyze experimental data. Previous experiences in data analyses are preferred but not required. All appointments are initially for one year and are renewable for at least three years given satisfactory performance. The salary is competitive. The postdoc will be integrated into the large, vibrant neuroscience community of the Texas Medical Center and have the opportunity to participate in collaborations with groups at Baylor College of Medicine and Rice University. To apply, please send application materials including a detailed CV, a brief statement of research interests, and contact information of 3 references to Dr. Yuri Dabaghian at [Yuri.A.Dabaghian [at] uth.tmc.edu). The position is available immediately, until filled. For Additional information and informal inquiries, please contact Dr. Dabaghian. We Strive for a diverse and inclusive environment, and encourage applications from members of any identity. -------------- next part -------------- An HTML attachment was scrubbed... URL: From coralie.gregoire at insa-lyon.fr Wed Sep 29 06:43:52 2021 From: coralie.gregoire at insa-lyon.fr (Coralie Gregoire) Date: Wed, 29 Sep 2021 12:43:52 +0200 (CEST) Subject: Connectionists: [CFP] The ACM Web Conference 2022 - Call for Workshop Proposals Message-ID: <904587014.2911371.1632912232261.JavaMail.zimbra@insa-lyon.fr> [Apologies for the cross-posting, this call is sent to numerous lists you may have subscribed to] [CFP] The ACM Web Conference 2022 - Call for Workshop Proposals The Web Conference 2022 (formerly known as WWW) will take place online, France, on April 25-29, 2022. https://www2022.thewebconf.org/cfp/workshops/ ------------------------------------------------------------ *Call for Workshop Proposals* The Web Conference 2022 will feature a number of co-located workshops that are intended to provide a forum for researchers and practitioners in Web technologies to discuss and exchange positions on current and emergent Web topics. Workshop participants will be given the opportunity to exchange ideas, to learn cutting-edge science and technological advancements for the Web, to establish common ground in research areas or applied problems, and to identify new opportunities for collaboration and new directions for future work. *Organizational Details for Workshops* The organizers of accepted workshops will be responsible for their own review process and publicity. They must maintain an up-to-date website for their workshop that will be referenced from The Web Conference 2022 web site. They are required to cooperate closely with the conference workshop chairs and with the local organizers to finalize all details, and to provide input for publicity. Accepted workshops will be scheduled so as to avoid conflicts with conference sessions in similar or related areas. Workshops will benefit from the registration process of The Web Conference 2022. If the organizers of a workshop choose to charge additional fees, they must inform the General Chairs of their intent and must manage the process on their own. Workshop organizers must inform the Workshop Chairs of the numbers of submissions and acceptances as these numbers become available. Workshops with fewer than 15 expected registrants may be canceled at the discretion of the conference organizers and will not be part of the official/accepted conference workshops. The canceled workshops will not enjoy the support mentioned above. Workshop timelines (deadlines for submissions, notification, camera-ready papers) are proposed by the workshop organizers in agreement with The Web Conference 2022 workshop chairs. *Workshop Proceedings* The proceedings of the workshops will be published in the conference proceedings (companion volume). Workshop papers should not have been previously published, should not be considered for publication, and should not be under review for another workshop, conference, or journal. They should be no more than 12 pages in length (maximum 8 pages for the main paper content + maximum 2 pages for appendixes + maximum 2 pages for references). Papers must be submitted in PDF according to the ACM format published in the ACM guidelines, selecting the generic ?sigconf? sample. The PDF files must have all non-standard fonts embedded. Workshop papers must be self-contained and in English. *Submission Guidelines for Workshop Proposals* Workshop proposals should be in English and should contain no more than five (5) pages in length (according to the ACM format acmart.cls, using the ?sigconf? option). Submissions must be in PDF and must be made through the EasyChair system at https://easychair.org/conferences/?conf=thewebconf2022 (select the Workshop track). Furthermore, they should follow the outline detailed below: - A concise title - The names, affiliations, and contact information of ALL organizers - Proposed duration of the workshop ? half or full day - Explanation of why the proposed workshop is a good match for The Web Conference 2022 - A statement of the workshop objectives - Proposed format (mini-conference, discussion groups, breakouts, etc.) - A two-paragraph description of the workshop topics and themes - A tentative Program Committee list (with indication of whether PC members have already been contacted and/or have expressed interest) - Expected number of participants If the workshop was held before, please give details on the location and dates, number of participants, number of submissions, number of accepted papers, and indicate how the proposed edition will differ from earlier editions A short bio of the workshop organizers, including a description of their relevant qualifications and past experience in organizing workshops or research meetings *Review Process for the Workshop Proposals* The decision about acceptance or rejection of workshop proposals will be made by a small program committee, the Workshop Chairs and in consultation with the General Chairs, taking into account several factors including overall quality, the topic fit with respect to The Web Conference 2022, the coverage of the topic in other tracks of the conference, the estimated number of attendees for the workshop, and the venue capacity. *Important Dates for Workshop Organizers* - Proposal submission deadline: November 11, 2021 - Workshop notification: November 30, 2021 - Suggested workshop paper submission deadline: February 3, 2022 - Suggested workshop paper acceptance notification: March 3, 2022 - Workshop papers camera-ready version due: March 10, 2022 - Workshops: April 25-26, 2022 *Workshops Chairs* Nathalie Hernandez, University of Toulouse (France) and Preslav Nakov, Qatar Computing Research Institute, HBKU (Qatar) You can reach the workshop chairs at www2022-workshops at easychair.org ============================================================ 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 contactnewinml at gmail.com Wed Sep 29 08:16:24 2021 From: contactnewinml at gmail.com (Contact NewInML) Date: Wed, 29 Sep 2021 14:16:24 +0200 Subject: Connectionists: Last Call For Paper - NewInML workshop NeurIPS 2021 Message-ID: Paper submission deadline is *extended* to October 1, 2021 (Anywhere on Earth). Like previous editions, the goal of the NewInML workshop NeurIPS 2021 is to provide young researchers with the guidance they need to contribute to machine learning research fully and effectively. We are targeting anyone who has not published a paper at the NeurIPS main conference yet. We invited top researchers to review submitted work and share their experience. Accepted papers could expect further coaching and mentorship, submitted papers can then be revised and submitted to NeurIPS 2022 main conference. Submissions should respect the NeurIPS format and instructions (anonymity, NeurIPS template, etc.): https://nips.cc/Conferences/2021/CallForPapers. Submissions are limited to 9 content pages, including all figures and tables; additional pages containing the NeurIPS paper checklist and references are allowed. Shorter papers with enough good contents are also welcome. Submitted papers will be reviewed by expert reviewers in a double-blind manner. Please check https://sunhaozhe.github.io/NewInML2021_NeurIPS/ for more details! You are welcome to forward this message to anyone (collaborators, friends, students, etc.) who might be interested! Thanks in advance! Sincerely, The NewInML Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From coralie.gregoire at insa-lyon.fr Wed Sep 29 08:23:47 2021 From: coralie.gregoire at insa-lyon.fr (Coralie Gregoire) Date: Wed, 29 Sep 2021 14:23:47 +0200 (CEST) Subject: Connectionists: [CFP] The ACM Web Conference 2022 Special Tracks Message-ID: <489924396.3032274.1632918227178.JavaMail.zimbra@insa-lyon.fr> [Apologies for the cross-posting, this call is sent to numerous lists you may have subscribed to] [CFP] The ACM Web Conference 2022 Special Tracks We invite contributions to the Special Tracks of The Web Conference 2022 (formerly known as WWW). The conference will take place online, France, on April 25-29, 2022. - Special Track on Esports and Online Gaming: https://www2022.thewebconf.org/cfp/special/gaming/ - Special Track on Web4Good - FATES: Fairness, Accountability, Transparency, Ethics, Sustainable Development and Healthy Society: https://www2022.thewebconf.org/cfp/special/web4good/ *Important Dates* - Abstract: November 11, 2021 - Full paper: November 18, 2021 - Acceptance notification: January 13, 2022 No rebuttal is foreseen. ------------------------------------------------------------ *Esports and Online Gaming* Track chairs: Casper Harteveld (Northeastern University, USA) and Magy Seif El-Nasr (University of California Santa Cruz, USA) The special track in Esports and Online Gaming invites original and novel high-quality research contributions to the area of esports and online games. The track?s emphasis is broad and invites all submissions in this area, including work that focuses on: the development and promise of new gaming technologies, the development of production tools for online games and esports, or work that focuses on understanding the psychology of gamers in this domain or how current online game technologies impacts players, communities, society, and culture. Work can range from large-scale analyses from massively multiplayer online games to small group interactions or local community-based social games. We welcome submissions from industrial researchers, especially with work that tackles pivotal topics such as toxicity and diversity. Given the rise of esports and live streaming, we furthermore encourage submissions covering these topics. Submissions will need to highlight how they relate to the future direction of the World Wide Web. Topics include (but are not limited to): - Esports - Video game live streaming - Massively multiplayer online games - Cloud gaming - Game Server Architectures - Crowdsourcing games - Game analytics and data visualization - Serious games - Mobile games - IoT and gaming - Community engagement - Extended reality (AR/VR) and location-based games - Game industry business models - Privacy and security in games - Diversity, equity, and inclusion in games - Novel game interactions over the Web *Submission guidelines* For the special tracks, submissions are limited to 8 content pages, which should include all figures and tables, but excluding supplementary material and references. In addition, you can include 2 additional pages of supplementary material. The total number of pages with supplementary material and references must not exceed 12 pages. The papers must be formatted according to the instructions below. The papers must be formatted according to the instructions given at https://www.acm.org/publications/proceedings-template Submissions will be handled via Easychair, at https://easychair.org/conferences/?conf=thewebconf2022. All accepted papers will be published by ACM and will be available via the ACM Digital Library You can reach the track chairs at: www2022-gaming at easychair.org ------------------------------------------------------------ *Web4Good - FATES: Fairness, Accountability, Transparency, Ethics, Sustainable Development and Healthy Society* Track chairs: Jeanna Matthews (Clarkson University), Chiara Renso (ISTI ? CNR) and Ricardo Baeza-Yates (Northeastern University, Universitat Pompeu Fabra, Universidad de Chile) For the last three years, The Web Conference has had a workshop on Fairness, Accountability, Transparency, Ethics and Society (FATES). For this year, we are expanding on those topics in a special track, Web For Good. Today?s web and social media solutions do not sufficiently address societal problems related to transparency, accountability, discrimination, misinformation, manipulation, environmental sustainability, climate action, and protection of living beings. We seek papers in which web and social media technologies are investigated, developed or applied to the protection of individual rights, particularly among vulnerable or marginalized communities and the fostering of sustainable development and healthy human societies. We also seek papers that take a critical look at current web and media technologies including concerns related to fairness, accountability, transparency, ethics, sustainable development and healthy society. The goal of this track is to gather researchers and developers from academia, industry, and civil society to present and debate methods for achieving a Web that is inclusive, non discriminative, sustainable, ethical, open, and that can appropriately address emergent societal challenges towards a Web for Good. To achieve this, we look for contributions that describe research results, tools, design techniques and experiments that are being developed to deal with fairness and accountability, transparency, societal impact, sustainable development and ethics on the Web. We welcome any submissions that address the broad goals of this Special Track and look forward to seeing the diverse ways in which authors will approach these themes. We especially encourage submissions in the following areas: - Algorithmic fairness and algorithmic bias, particularly on web data - Fairness, accountability, transparency, and ethics in web search and (social) web mining - Fairness-aware recommender systems and diversity in recommendation - Human-perceived consequences of surveillance algorithms - Fake news, social bots, hate speech, misinformation, and disinformation on social media - Credibility and reputation in social media - Ethics of opinion mining and opinion formation on the web - Ethical models/frameworks around web platforms and data - Innovative methods for studying/analyzing the fairness, accountability, transparency and ethics of web platforms - Impact of web platforms and algorithms on employment and the future of work - Transparency and ethics of web-scale data analysis - Transparency, fairness, and ethics of crowd-sourcing - Transparency-aware algorithms for online civic engagement - Ethics, privacy and legal audits on the use and analysis of sensitive data - Information/knowledge design/visualization for privacy - Models for ensuring transparency and responsibility of government data - Privacy-preserving and fairness-aware machine learning on the web - Transparency and Explainability in ML - Contribution of web technologies to UN Sustainable Development Goals *Submission guidelines* For the special tracks, submissions are limited to 8 content pages, which should include all figures and tables, but excluding supplementary material and references. In addition, you can include 2 additional pages of supplementary material. The total number of pages with supplementary material and references must not exceed 12 pages. Authors may also submit short papers (up to 4 pages plus references) and discussion papers (up to 2 pages plus references). Discussion papers will not appear in the proceedings. The papers must be formatted according to the instructions given at https://www.acm.org/publications/proceedings-template Submissions will be handled via Easychair, at https://easychair.org/conferences/?conf=thewebconf2022. All accepted papers will be published by ACM and will be available via the ACM Digital Library You can reach the track chairs at www2022-web-for-good at easychair.org ============================================================ 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 philipp.raggam at univie.ac.at Wed Sep 29 11:19:43 2021 From: philipp.raggam at univie.ac.at (Philipp Raggam) Date: Wed, 29 Sep 2021 17:19:43 +0200 Subject: Connectionists: Announcing the 3rd Brain-Computer Interface Un-Conference (3rd BCI-UC) Message-ID: <3e32a3cd-4b31-282b-0b05-946063058016@univie.ac.at> Dear Colleagues, We cordially invite you to the *3rd Brain-Computer Interface Un-Conference* (BCI-UC) on *January 27th, 2022, from 03:00 pm to 09:00 pm**(CET)* [1]! The BCI-UC is an online un-conference that provides rapid dissemination of novel research results in the BCI community. Participants can *submit abstracts* to apply for *20 minutes presentation* slots. Abstracts are not reviewed by a program committee. Rather, all registered participants can vote on which of the submitted abstracts they would like to see presented at the un-conference. Because the BCI-UC does not publish conference proceedings, submitted abstracts can report novel as well as already published work. *Registration and attendance are free of charge*. Presentations of the 1st and 2nd BCI-UC can be re-watched at [2] and [3]. The 3rd BCI-UC will feature *keynotes* by *Cynthia Chestek* (University of Michigan) [4] and *Thorsten Zander* (TU Brandenburg) [5]. *Registration and abstract submission open on November 1st, 2021* [1]. Abstract submissions are text-only. The length and format of the submissions are up to the authors - use whatever format you consider best for attracting up-votes! *Submission closes on December 3rd, 2021 at 11:59 pm*. *Voting on submitted abstracts begins on December 6th, 2021, and closes on December 12th, 2021 at 11:59 pm*. We will invite the authors of the top-voted abstracts to present at the un-conference. *All presentations will be streamed via Crowdcast* [6] and can be accessed free of charge. Join us in supporting this novel community-driven dissemination of research results! The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu Links: [1] https://bciunconference.univie.ac.at/3rd-bci-uc/ [2] https://bciunconference.univie.ac.at/past-events/1st-bci-uc/ [3] https://bciunconference.univie.ac.at/past-events/2nd-bci-uc/ [4] https://scholar.google.com/citations?user=36sxAZEAAAAJ&hl=de [5] https://scholar.google.com/citations?hl=en&user=0E49HxYAAAAJ [6] https://www.crowdcast.io/ -- DI Philipp Raggam, BSc Research Group Neuroinformatics Faculty of Computer Science University of Vienna H?rlgasse 6, A-1090 Wien, Austria -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Thu Sep 30 00:09:56 2021 From: junfeng989 at gmail.com (Jun Feng) Date: Thu, 30 Sep 2021 00:09:56 -0400 Subject: Connectionists: [Extended Deadline: Sep. 30][13+ Journal Special Issues] CFP IEEE DependSys 2021: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= CFP IEEE DependSys 2021 The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications Dec. 17-19, Haikou, China [Submission Deadline: Sep. 30][13+ Journal Special Issues] http://www.ieee-cybermatics.org/2021/dependsys/ IEEE DependSys 2021 conference is the 7th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2021 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 10+ SCI & EI indexed prestigious journals (confirmed). 1. IEEE Transactions on Intelligent Transportation Systems SI on Graph-based Machine Learning for Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_db671bf4e4eb4a41ac1cf6da14a77750.pdf 2. IEEE Transactions on Intelligent Transportation Systems SI on Data Science for Cooperative Intelligent Transportation Systems https://ad051eeb-2ac9-4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_de7a6f420a2b4c6d894e4de63e495624.pdf 3. IEEE Transactions on Network Science and Engineering SI on The Nexus Between Edge Computing and AI for 6G Networks https://www.comsoc.org/publications/journals/ieee-tnse/cfp/nexus-between-edge-computing-and-ai-6g-networks 3. IEEE/ACM Transactions on Computational Biology and Bioinformatics SI: Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare https://www.computer.org/digital-library/journals/tb/call-for-papers-special-issue-on-deep-learning-empowered-big-data-analytics-in-biomedical-applications-and-digital-healthcare 5. Security and Communication Networks SI on Protocols, Technologies, and Infrastructures for Secure Mobile Video Communications https://www.hindawi.com/journals/scn/si/926306/ 6. MDPI Sensors SI on Recent Advances in Algorithm and Distributed Computing for the Internet of Things https://www.mdpi.com/journal/sensors/special_issues/Algorithm_Distributed_Computing_IOT 7. International Journal of Distributed Sensor Networks SI: Privacy-Preserving Solutions in the Internet of Things https://journals.sagepub.com/page/dsn/collections/special-issues/privacy-preserving-solutions-in-the-internet-of-things 8. IET Communications SI on Intelligent Metasurfaces for Smart Connectivity https://digital-library.theiet.org/files/IET_COM_CFP_IMSC.pdf 9. Building and Environment SI: AI and IoT Applications of Smart Buildings and Smart Environment Design, Construction and Maintenance https://www.journals.elsevier.com/building-and-environment/call-for-papers/ai-and-iot-applications-of-smart-buildings-and-smart-environment-design-construction-and-maintenance 10. Journal of Systems Architecture SI: Cloud-Edge-End Architecture for Internet of Things Applications https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/special-issue-on-cloud-edge-end-architecture-for-internet-of-things-applications-vsi-cloud-edge-end-iot 11. Information SI: "Crossing ?Data, Information, Knowledge, and Wisdom? Models?Challenges, Solutions, and Recommendations" https://www.mdpi.com/journal/information/special_issues/DIKW_RA_2021 12. International Journal of Distributed Sensor Networks SI: "Endogenous Security Technologies and Architectures for the IoT" https://journals.sagepub.com/page/dsn/collections/special-issues/endogenous-security-technologies-and-architectures-for-the-iot 13. Scientific Programming SI: "Scientific Programming for Multimodal Big Data 2021" https://www.hindawi.com/journals/sp/si/474297/ * More special issues will be added later. http://www.ieee-cybermatics.org/2021/dependsys/special.html ================== Important Dates ================== Paper Submission Deadline: 30 September, 2021 Authors Notification: 15 October, 2021 Final Manuscript Due: 15 November, 2021 Conference Date: 17-19 December, 2021 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N28864) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Stephen S. Yau, Arizona State University, USA - Zheng Yan, Xidian University, China and Aalto University, Finland - Willy Susilo, University of Wollongong, Australia Program Chairs - Bin Song, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From brenden at nyu.edu Wed Sep 29 14:43:11 2021 From: brenden at nyu.edu (Brenden Lake) Date: Wed, 29 Sep 2021 14:43:11 -0400 Subject: Connectionists: Hiring an Assistant Professor of Psychology and Data Science at NYU (Applications due Dec. 1) Message-ID: <7A595CB1-83A7-4C3B-B1D2-FA9D887C14AC@nyu.edu> Dear colleagues, New York University invites applications for a tenure-track, assistant professor position focused on Mind, Brains, and Machines (https://apply.interfolio.com/94880 ). The position would be a joint appointment in the NYU Center for Data Science and the Department of Psychology. This position is part of a cluster hire initiative around human and machine intelligence. The anticipated start date is September 2022, pending budgetary and administrative approval. We seek applicants who can help advance world-class research in data-intensive and computationally sophisticated psychological science. Successful applicants could contribute to research and teaching in example areas such as: (1) Understanding and engineering intelligence, through studying its computational basis in humans and machines; (2) Utilizing new methods and technologies for studying human behavior, including novel experimental paradigms or naturalistic datasets capturing real-world interactions; (3) Establishing deeper connections between human and machine approaches to extracting knowledge from data, potentially leading to new technologies for studying the mind and new algorithms for data science informed by psychological research (e.g., artificial intelligence and machine learning). Applications from researchers who bridge between the existing research strengths of the Department of Psychology and the Center for Data Science are encouraged. In addition to advancing a research program capable of attracting outside funding, applicants will be expected to contribute to the teaching missions of both the Psychology department and the Center for Data Science. Deadline Applications received by December 1st, 2021 will receive full consideration. Qualifications A PhD in Psychology, Data Science, Cognitive Science, Computer Science, Neuroscience or a related quantitative field is required. Application instructions Link to apply: https://apply.interfolio.com/94880 Please include a CV, short statements of your research and teaching interests, three representative papers, and three letters of recommendation on your behalf. Diversity and inclusion are important parts of the NYU mission. In your research and teaching statements (or in a separate Diversity and inclusion statement), please describe the ways in which your (1) scholarship, (2) teaching and mentoring, and/or (3) service and engagement demonstrate your commitment to diversity, equity, and inclusion. We are particularly interested in hearing about (1) concrete steps you have taken (or are planning to take) to foster an inclusive intellectual environment in your research lab, in the classroom, in the department and on campus, and/or in your field more generally, and (2) how these steps connect with your broader views on the topics of diversity, equity, and inclusion. Equal Employment Opportunity Statement For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels. -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Thu Sep 30 07:47:05 2021 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Thu, 30 Sep 2021 13:47:05 +0200 Subject: Connectionists: CFP OLA'2022 Optimization & Learning @Sicilia Italy Message-ID: <4007506a-5d9a-3771-7556-ebe413dcbac0@univ-lille.fr> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** ????????????????????????? OLA'2022 ????????? International Conference on Optimization and Learning ????????????????????????? 18-20 July 2022 ????????????????????? Syracuse (Sicilia), Italy ??????????????? http://ola2022.sciencesconf.org/ ??????????????????? SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2022 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2022 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: -?????? S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages -?????? S2: Original research contributions of a maximum of 10 pages Important dates: =============== Invited session organization? Dec 20, 2021 Paper submission deadline???? Jan 28, 2022 Notification of acceptance??? March 25, 2022 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- ********************************************************************** OLA'2022 International Conference on Optimization and Learning 18-20 July 2022, Syracuse, Sicilia, Italy http://ola2022.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com From L.Wehenkel at uliege.be Thu Sep 30 08:14:02 2021 From: L.Wehenkel at uliege.be (Louis Wehenkel) Date: Thu, 30 Sep 2021 14:14:02 +0200 Subject: Connectionists: =?utf-8?q?Open_position_at_Montefiore_Institute_-?= =?utf-8?q?_University_of_Li=C3=A8ge_-_AI_and_Power_Systems_Security?= Message-ID: <07ef1bb1-6269-edb8-bfa2-8c23d8afbbf8@uliege.be> Dear Colleagues, I am looking for highly motivated junior researchers that would be interested in working with us on the application of modern AI methods to the security management of the evolving electric power and energy infrastructure. We have funding from the Belgian Federal Energy Transition Fund, the Belgian National Fund for Scientific Research, and we have strong collaborations with the industry. The positions are open to electrical engineers with a strong background in optimization and machine learning, and to computer engineers with a strong background in electrical engineering and optimization. The research environment is the Montefiore Institute (see https://www.montefiore.uliege.be/) which has a long tradition of world-class research both in Electric Power Systems and in Artificial Intelligence. The cultural environment of the Li?ge area is extremely rich and renowned for its warm and humanistic welcoming attitude towards all visitors. If you are interested, please send me a detailed CV and a personalized motivation letter, with a deadline of October 31, 2021. Best regards, Louis Wehenkel https://people.montefiore.uliege.be/lwh/ From bernabe.cfp at gmail.com Thu Sep 30 09:22:43 2021 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Thu, 30 Sep 2021 15:22:43 +0200 Subject: Connectionists: CFP - International Conference on Optimization and Learning (Sicily, Italy) Message-ID: <4EC73C43-785D-437F-8321-91CA1A092D01@gmail.com> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2022 International Conference on Optimization and Learning 18-20 July 2022 Syracuse (Sicilia), Italy http://ola2022.sciencesconf.org/ SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2022 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2022 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages Important dates: =============== Invited session organization Dec 20, 2021 Paper submission deadline Jan 28, 2022 Notification of acceptance March 25, 2022 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Thu Sep 30 09:56:38 2021 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Thu, 30 Sep 2021 15:56:38 +0200 Subject: Connectionists: =?utf-8?q?Open_positions_for_AI_/_robotics_/_mach?= =?utf-8?q?ine_learning_professors_at_FHWS_in_W=C3=BCrzburg=2C_Germ?= =?utf-8?q?any?= Message-ID: -- One week left to deadline -- We are creating a new center on artificial intelligence in Wuerzburg, Germany (CAIRO) with multiple open positions (right now we announced 2 professor positions) https://www.fhws.de/service/stellenausschreibungen-der-fhws/online-stellenportal-fuer-professuren-und-lehrpersonal/ (english translation available - just scroll down) The positions are research professorships (German W2 level, maybe comparable to reader status or kind of assistant professor, well paid and tenured life long positions) and will establish a center for AI (CAIRO) in Wuerzburg - do research & attract projects - have some minimal administrative duties - have only 9 x 45 min teaching duties per week (9 SWS) during the terms - will be involved in the new created MSc program on Artificial Intelligence (MAI) Additional funding to establish a group is also available. This is an exciting moment and chance. The positions are located here in Wuerzburg and the curriculum will be (so far) in English only (it may be necessary to learn some German in the first years) . To be eligible it is mandatory to have 5 years working experience after MSc including at least 3 years of industrial experience (can be spread and industry related research (institutes) also count). The positions announced right now have the following topics: - Reasoning and Acting in AI / Foundations of Cognitive Computing https://stellen.fhws.de/jobposting/119f8cb4aaa8244fbdf4de9a80a2eaa82935e9500?ref=homepage - Robotics and AI (also linked to the Center Robotics and Intelligence (CERI) https://stellen.fhws.de/jobposting/538a1af7009c78c9e4734ed738c0c917c4fc291a0?ref=homepage Please spread the word - would be happy to see many applications Frank -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at fhws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From iswc.conf at gmail.com Thu Sep 30 10:55:44 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 30 Sep 2021 10:55:44 -0400 Subject: Connectionists: =?utf-8?q?Int=2E_Semantic_Web_Conference_ISWC_202?= =?utf-8?q?1=E2=80=94Registration_Open=E2=80=94Register_Now_With_Ea?= =?utf-8?q?rly_Rate!?= In-Reply-To: References: Message-ID: *20th International Semantic Web Conference (ISWC 2021)* Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org *Registration* The Registration for ISWC 2021 is now open! Register with Early registration rate by October 15 at: https://iswc2021.semanticweb.org/attending *Accepted Papers* The accepted papers for the Research, Resource, In-Use, and Industry tracks are listed at: https://iswc2021.semanticweb.org/accepted-papers *Invited Speakers* - Abraham Bernstein, University of Z?rich - Yoelle Maarek, Amazon - Julia Stoyanovich, New York University Details about the ISWC 2021 speakers can be found at: https://iswc2021.semanticweb.org/keynote-speakers Follow ISWC 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 The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From tanya.brown at ae.mpg.de Thu Sep 30 13:58:30 2021 From: tanya.brown at ae.mpg.de (Brown, Tanya) Date: Thu, 30 Sep 2021 17:58:30 +0000 Subject: Connectionists: New Job Posting - Scientific Software Engineer Message-ID: <97a85cb1a0be49e5bd657a0fa930ed5b@ae.mpg.de> The Max Planck Institute for Empirical Aesthetics in Frankfurt am Main, Germany, investigates the attentional, cognitive, and affective mechanisms of aesthetic perception and evaluation. The Department of Neuroscience invites applications for a Scientific Software Engineer (m/f/x) As part of an external funded project in collaboration with Dan Marcus, Wash. U; Sean Hill, CAMH; and members of the Cogitate Consortium, we are searching for a Scientific Data Engineer to contribute to the development of generic, cross-domain metadata management framework to foster the reuse of open datasets as well as reproducibility of cognitive neuroscience datasets i.e., metadata describing the experimental context of studies employing fMRI, MEEG, and ECoG. The successful candidate will also heavily contribute to the development of data infrastructure including storage, streaming and analysis tools for reproducible science based on the BIDS standard. Efforts will be devoted to develop tools for an efficient organization and exploration of raw and processed datasets. The position is ideal for networking in the open science community as it includes interaction with the open (neuro)science community; and is a unique opportunity for someone keen to contribute to the development of open-science and large-scale collaborations and aiming to contribute to community efforts and dissemination. Your tasks in interdisciplinary research projects focus on: ? Review of existing approaches and tools, Requirement specification, Conceptual design, blueprint of implementation, Proof-of-concept application to Cognitive Neuroscience ? Presentation and publication of the results ? Exchange and networking within national (NFDI, MPDL) and international (RDA, EOSC) initiatives ? Developing, testing and implementing scientific software i.e., standardized neuroscience data acquisition, reproducible analysis pipelines and data storage for open science building on the BIDS standard ? Providing training and support for students and postdocs at varied levels of competence in modern, high quality, open science/source coding practices ? Providing support and training for data management ? Being the lab?s interface with the Institute?s core IT team Your Profile: ? Completed university degree in natural sciences, engineering or a 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., data bases with SQL and MySQL) is preferable ? Knowledge of relevant metadata standards and semantic techniques are beneficial (including W3C, schema.org, RDF, JSON-LD, etc) ? Interest in interdisciplinary projects and cognitive and systems neuroscience ? Familiarity or experience with scientific research methods ? High degree of self-organisation and independent work ? Team spirit, reliability, and sense of responsibility ? Complete 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 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 neighborhood. You can expect a modern 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 the group of Dan Marcus and Sean Hill, as well as researchers forming part of the Cogitate Consortium (e.g., Christof Koch, Gabriel Kreiman, Ole Jensen, Sylvain Baillet among many others) is possible. The position will begin earliest on December 1, 2021 and is initially limited to two years, 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 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 November 1, 2021, by e-mail to job at ae.mpg.de using the code ?TWCF Engineer? in the subject. Please feel free to contact job at ae.mpg.de or 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... 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This session will be opened up to every conference attendee to submit a contribution to the Lightning Talks call. Although we aim to accommodate as many talk proposals as possible, the submissions, in the form of a 1-minute video, will be ranked by the Poster and Demo Program Committee and the best 20 contributions will be selected. More details: https://iswc2021.semanticweb.org/lightning-talks Track Chairs: - Catia Pesquita (LASIGE Faculdade de Ci?ncias Universidade de Lisboa, Portugal) - Oshani Seneviratne (Rensselaer Polytechnic Institute, NY, USA) ***** Important Dates ***** Submissions due: September 30 2021 (Anywhere on Earth) Submission URL: https://bit.ly/iswc21-lightning-talk-submission Follow ISWC 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 The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: