From Donald.Adjeroh at mail.wvu.edu Mon May 2 00:57:09 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Mon, 2 May 2022 04:57:09 +0000 Subject: Connectionists: CFP: SBP-BRiMS'2022: Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2022 2022 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 20-23, 2022 Will be held in hybrid mode (Virtually and in-person in Pittsburgh, USA) http://sbp-brims.org/ #sbpbrims The goal of this conference is to build this new community of social cyber scholars by bringing together and fostering interaction between members of the scientific, corporate, government and military communities interested in understanding, forecasting, and impacting human socio-cultural behavior. It is the charge to this community to build this new science, its theories, methods, and its scientific culture in a way that does not give priority to either social science or computer science, and to embrace change as the cornerstone of the community. Despite decades of work in this area, this scientific field is still in its infancy. To meet this charge and move this science to the next level, this community must meet the following three challenges: 1) deep understanding of socio-cognitive reasoning, 2) human-technology integration, 3) and re-usable computational methods. Topics include but are not limited to the following: ? Social Cybersecurity ? Social Network Modeling ? Human Behavior Modeling ? Agent-Based Models ? Models of Human-Autonomy Interaction ? Health and Epidemiological Models ? Validation Methods and Human Experimentation All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. See also special Call for Panels at SBP-BRiMS'22 http://sbp-brims.org/2022/Call%20For%20Panels/ IMPORTANT DATES: Paper/Abstract Submission: 01-Jul-2022 (Midnight EST) Author Notification: 29-Jul-2022 Panel proposals due: 01-July-2022 Panel Notification: 29-Jul-2022 Tutorial Submission: 22-Aug-2022 Decision Notification: 29-Aug-2022 Challenge Response due: 22-Aug-2022 Challenge Notification: 29-Aug-2022 Final Files due: 15-Aug-2022 HOW TO SUBMIT : For information on paper submission, check here. You will be able to update your submission until the final paper deadline. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of attendance scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From julia.vogt at inf.ethz.ch Mon May 2 02:53:00 2022 From: julia.vogt at inf.ethz.ch (Vogt Julia) Date: Mon, 2 May 2022 06:53:00 +0000 Subject: Connectionists: Postdoc position in Machine Learning with medical applications at ETH Zurich Message-ID: <3F19A06C-6C02-42D5-A29D-A4B7A5C6661E@inf.ethz.ch> Dear all, The medical data science research group headed by Julia Vogt at ETH Zurich is seeking a highly motivated postdoctoral researcher with a strong machine learning background. The candidate should be interested in working in an interdisciplinary environment at the interface of Machine Learning, Medicine and Health Care. The postdoctoral researcher will interact and collaborate closely with both faculty and graduate students in our research group, as well as with interdisciplinary collaborators from the medical domain. He/she will work on foundational machine learning challenges and will lead projects. The postdoc will have the possibility to participate in basic, translational science that brings novel machine learning techniques into impactful biomedical applications. Machine learning topics of interest include, but are not limited to, interpretable and explainable models, probabilistic modeling, deep learning, time-series modelling, generative models, medical imaging, and integrating multi-modal data. Our group conducts research at the intersection of machine learning and healthcare, and our research topics are inspired by the challenges which arise by dealing with medical data. Interested postdoc applicants should have a Ph.D. degree in Computer Science, Bioinformatics, Mathematics, Statistics, or related fields, with a strong publication record in top conferences such as NeurIPS, ICML, ICLR, AISTATS, AAAI, KDD, JMLR, etc. Experience in working on medical or biological data is not required, but applicants must bring a keen interest in the problems of the field. Applications must be submitted through the ETH Job Portal: https://www.jobs.ethz.ch/job/view/JOPG_ethz_0WK51lGcbpUlrkIDCQ -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Mon May 2 10:13:28 2022 From: li.zhaoping at tuebingen.mpg.de (Li Zhaoping) Date: Mon, 2 May 2022 16:13:28 +0200 Subject: Connectionists: Ph.D. and postdoc positions in human visual psychophysics in Zhaoping lab Message-ID: Li Zhaoping's labs at Max Planck Institute for Biological Cybernetics and University of Tuebingen have postdoc positions and Ph.D. positions available on human visual psychophysics for highly skilled and motivated individuals. The projects are towards understanding visual attentional and perceptual processes. Our research methods often include eye tracking, EEG, fMRI, TMS, and computational modeling, and hence familiarity in some of these methodologies is highly desirable. The research framework, their motivations, and example project types can be found at http://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html General information on researches in Zhaoping's lab can be found at http://www.lizhaoping.org/ For more details and to apply, please visit *https://jobs.tue.mpg.de/jobs/169* *?? for the postdoc positions* ***https://jobs.tue.mpg.de/jobs/170* *?? for the Ph.D positions* The positions are available immediately, applications received by *June 5th, 2022* will be preferentially considered, but later applications will still be considered until the positions are filled. The postdoc positions are for 2 years (and renewable), and the Ph.D. positions are for 3 years. Inquiries welcome. Li Zhaoping li.zhaoping at tuebingen.mpg.de * * * * -------------- next part -------------- An HTML attachment was scrubbed... URL: From sabu.thampi at iiitmk.ac.in Mon May 2 13:54:39 2022 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Mon, 2 May 2022 23:24:39 +0530 Subject: Connectionists: =?utf-8?q?Call_for_Papers=3A_Seventh_Internationa?= =?utf-8?q?l_Symposium_on_Intelligent_Informatics_=28ISI=E2=80=9922?= =?utf-8?q?=29?= Message-ID: ==================================================================== ** Apologies if you receive multiple copies of this announcement ** ** Please forward to anyone who might be interested ** ==================================================================== Call for Papers: Seventh International Symposium on Intelligent Informatics (ISI?22) August 31, September 1-2, 2022, Trivandrum, Kerala, India https://connected-systems.org/isi2022/ Submission Deadline: May 16, 2022 EDAS Submission Link: https://edas.info/N29304 Proceedings by Springer in Smart Innovation, Systems and Technologies Series ===================================================================== ISI aims to bring together researchers and practitioners from all over the world to share and discuss theoretical and practical developments in intelligent informatics. The scope of the symposium includes, but is not limited to, AI, Machine Learning, Cognitive Computing, Soft Computing, Security Informatics, Data Science, Computer Vision, Pattern Recognition, Intelligent Software Engineering, Intelligent Networked Systems, IoT, Cyber-Physical Systems and NLP. All accepted papers will be published by Springer in Smart Innovation, Systems and Technologies Series. This series is abstracted/indexed by SCOPUS, EI Compendex, INSPEC, SCImago and DBLP. The proceedings will be available via the SpringerLink digital library. ISI?22 invites original and unpublished work from individuals active in the broad theme of the Symposium. Topics of interest include, but are not limited to: -- Adaptive Signal Processing and Control -- Artificial Immune Systems -- Autonomous Agents and Multi-Agent Systems -- Bayesian Networks and Probabilistic Reasoning -- Big Data Analytics and Intelligence -- Biologically Inspired Intelligence/Brain-Computer Interfacing -- Chaos, Fractals, Rough Sets -- Cognitive Computing -- Complex Systems and Applications -- Computer Vision -- Computational Intelligence and Soft Computing -- Cyber-Physical Systems -- Database Management and Information Retrieval -- Distributed Intelligent Systems -- Fusion of Neural Networks and Fuzzy Systems -- Green and Renewable Energy Systems -- High-Performance Computing -- Human Interface, Human Information Processing -- Hybrid and Distributed Algorithms -- Image and Speech Signal Processing -- Intelligence and Security Informatics -- Intelligent Sensor Networks -- Intelligent Software Engineering -- Intelligent Networked Systems -- Internet of Things and Ubiquitous Intelligence -- Knowledge-Based Systems, Knowledge Networks -- Machine Learning, Reinforcement Learning -- Memetic Computing -- Natural Language Processing -- Networked Control Systems -- Neural Networks and Applications -- Optimization and Decision Making -- Pattern Classification and Recognition -- Robotic Intelligence/Business Intelligence -- Robustness Analysis, Wavelet Analysis -- Self-Organizing Systems, Stochastic systems -- Social Intelligence, Web Intelligence -- Support Vector Machines -- Swarm Intelligence, Ant Colonies -- Virtual Reality in Engineering Applications Contact: intelligent.informatica at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From arvind.k.panchal at gmail.com Mon May 2 12:45:32 2022 From: arvind.k.panchal at gmail.com (Arvind Kumar) Date: Mon, 2 May 2022 18:45:32 +0200 Subject: Connectionists: CAMP summer course on computational neuroscience: application deadline extended Message-ID: Dear Colleagues, We would like to announce *CAMP at Bangalore 2022 from 23 July 2022 to 7 August 2022, in Bangalore, India*. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school where students will be trained in theoretical and computational modeling, pertaining to memory and plasticity in the brain, spanning different scales of space, time and complexity. This flavor of CAMP will focus on ? Neuromodulation and Cell Diversity. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. The course is supported by the Simons Foundation. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. The NCBS Campus has pleasant grounds, sports facilities, and the weather in late July is mild with moderate rain. There is no registration fee. Students are advised to obtain independent travel grants. Please visit the course website https://camp.ncbs.res.in/ for more details about this year's course and past courses. Application deadline: *9 May 2022* Referee letters must also reach by *9 May 2022* Speakers include: - Arvind Kumar [KTH Royal Institute of Technology, Sweden] - Gilad Silberberg [Karolinska Institutet, Sweden] - Kim 'Avrama' Blackwell [George Mason University, USA] - Peter Dayan [Max Planck Institute for Biological Cybernetics, Germany] - Raffaella Tonini [Istituto Italiano di Tecnologia, Italy] - Rishikesh Narayanan [Indian Institute of Science, Bangalore] - Sho Yagishita [University of Tokyo, Japan] - Srikanth Ramaswamy [Newcastle University, UK] - Upinder Bhalla {National Centre for Biological Sciences, Bangalore] - Vatsala Thirumalai [National Centre for Biological Sciences, Bangalore] Thank you, Course Organizers CAMP 2022 Arvind Kumar | Rishikesh Narayanan | Upinder S. Bhalla -- Dr. Arvind Kumar Computational Brain Science, Div. of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm Lindstedtsv?gen 5. Room#4439 114 28 Stockholm, Sweden. Ph. No. +46-8790-6224 Web: https://www.kth.se/profile/arvindku/ https://arvkumar.github.io/ cricket blog: http://rightarmoverfast.blogspot.com -------- ? ?? ???????? ? ??????????? ? ??????? ???? ? ????????? ???? ?????????????? ????????? ? ????????? ? ??????? ?????? - ?. He who has no pleasure in questioning, nor in debate, nor in dialogue, Defend us to-day from him and from his encounter, defend us from his arms. -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Mon May 2 14:53:29 2022 From: publicity at acsos.org (ACSOS Conference) Date: Mon, 2 May 2022 14:53:29 -0400 Subject: Connectionists: ACSOS 2022: Deadline Extension for main track submissions Message-ID: *** ACSOS 2022 - Call For Papers *** 3rd IEEE International Conference on Autonomic Computing and Self-Organizing Systems 19-23 September 2022 ? Online https://2022.acsos.org/https://twitter.com/ACSOSconf ************************************* The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). For more up-to-date news, follow us at https://twitter.com/ACSOSconf! *** Important Dates *** *EXTENDED* May 13, 2022: Abstract submission deadline *EXTENDED* May 20, 2022: Paper submission deadline July 2, 2022: Notification to authors August 5, 2022: Camera Ready Deadline September 19-23, 2022: ACSOS Conference! Also be sure to check out our separate calls for artifacts, posters, demos, and workshop papers! *** Challenge and Scope *** Emerging large-scale systems (including data centers, cloud computing, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments) are becoming increasingly complex, heterogeneous, and difficult to manage. The challenges of designing, controlling, managing, monitoring, and evolving such complex systems in a principled way led the scientific community to look for inspiration in diverse fields, such as biology, biochemistry, physics, complex systems, control theory, artificial intelligence, and sociology. To address these challenges novel modeling and engineering techniques are needed that help to understand how local behavior and global behavior relate to each other. Such models and practices are a key condition for understanding, controlling, and designing the emergent behavior in autonomic and self-adaptive systems. The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive,? and self-organizing. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, posters, demos, and a doctoral symposium.We invite novel contributions related to the fundamental understanding of autonomic computing, self-adaption and self-organization along with principles and practices of their engineering and application. The topics of interest include, but are not limited to: - Autonomic and Self-* system properties: robustness; resilience; resource efficiency; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness; - Autonomic and Self-* systems theory: bio-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; formal languages; queuing and control theory; requirement and goal expression techniques; uncertainty as a 1st class entity - Autonomic and Self-* systems engineering: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middleware; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems; - Data-driven management and artificial intelligence: data mining; machine learning; in-network learning; distributed reinforcement learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems or establishing self-awareness; - Mechanisms and principles for self-organization and self-adaptation: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized systems; - Socio-technical self-* systems: human and social factors; visualization; crowdsourcing and collective awareness; - Autonomic and self-* concepts applied to hardware systems: self-* materials; self-construction; reconfigurable hardware, self-* properties for quantum computing; - Self-adaptive cybersecurity: intrusion detection, malware attribution, zero-trust networks and blockchain-based approaches, privacy in self-* systems; - Cross disciplinary research: approaches that draw inspiration from complex systems, organic computing, artificial intelligence, chemistry, psychology, sociology, and biology, and ethology. We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including (but not limited to): - Smart environments: -grids, -cities, -homes, and -manufacturing; - Internet of things and cyber-physical systems;- Robotics, autonomous vehicles, and traffic management; - Cloud, fog/edge computing, High Performance Computing (HPC), quantum computing and data centers;- Internet of Things;- Hypervisors, containerization services, orchestration, operating systems, and middleware;- Biological and bio-inspired systems. *** Best Papers *** We intend to continue the tradition of giving the best papers of the conference an opportunity to publish an extended version in a special issue of ACM Transactions on Autonomous and Adaptive Systems (TAAS). The Karsten Schwan Best Paper Award will be awarded to a selected paper. *** Submission Instructions *** *Research papers* (up to 10 pages including images, tables, and references) should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. *Experience Reports* (up to 10 pages including images, tables, and references) cover innovative implementations, novel applications, interesting performance results and experience in applying recent research advance to practical situations on any topics of interest. *Vision Papers* (up to 6 pages including images, tables, and references) introduce ground-shaking, provocative, and even controversial ideas; discuss long term perspectives and challenges; focus on overlooked or underrepresented areas, and foster debate. Research papers and experience reports will be included in the conference proceedings that will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. Vision papers will be part of a separate proceedings volume (the ACSOS Companion).Please see https://2022.acsos.org/track/acsos-2022-papers#Call-for-Papers for full requirements and review criteria. -------------- next part -------------- An HTML attachment was scrubbed... URL: From anand.subramoney at ini.rub.de Tue May 3 02:31:51 2022 From: anand.subramoney at ini.rub.de (Anand) Date: Tue, 3 May 2022 12:01:51 +0530 Subject: Connectionists: Open PhD position in scalable, energy-efficient machine learning Message-ID: The "Theory of Neural Systems" group led by Prof. Dr. Laurenz Wiskott at the Ruhr University Bochum, Germany is looking for an excellent and highly motivated PhD student to work on the topic of scalable machine learning. The student will be co-supervised by Dr. Anand Subramoney. The appointment will be for three years, starting as soon as possible. Salary is 75% of salary scale TV-L E13. The PhD student will work on developing state-of-the-art machine learning models that can scale to billions of parameters with a focus on energy efficiency. Using sparsity and asynchrony as core design principles, the models will also use biological inspiration to achieve these goals. Collaborations with academic and industry groups to use bio-inspired low-energy neuromorphic hardware are encouraged. We offer: - An attractive interdisciplinary environment in the field of Machine Learning / Artificial Intelligence / Computational Neuroscience. - Room to develop your own ideas in the project. - Opportunity to collaborate with international industry and university partners. - Infrastructure to integrate well into the institute and the group. - Opportunity to do a PhD (Dr). Candidates for this post should possess: - An excellent Masters's degree in mathematics, computer science, engineering, or a related field. - Excellent programming skills (Python preferably). - Good knowledge of applied mathematics and computer science. - Ability to learn quickly and work independently, as well as in a team. Preferred qualifications include: - Interest in interdisciplinary research questions and cooperation. - Hands-on/research experience with deep learning. - Experience with machine learning frameworks such as PyTorch/Tensorflow/JAX. - Good communication and teamwork skills. - Experience or willingness to collaborate with a wide variety of interdisciplinary partners. How to apply: Applications should be sent as a single pdf file to anand.subramoney at ini.rub.de and should include: - Email subject line: "PhD application: Efficient Scalable ML" - CV with contact information for two references - transcript of records for MSc and BSc - a statement of purpose describing your research interests and why you think you are a good fit for this position - Application deadline: 20th May Address informal enquiries to anand.subramoney at ini.rub.de or laurenz.wiskott at ini.rub.de. Travel expenses for interviews will not be refunded. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We, therefore, look forward to applications from qualified women. Applications from appropriately qualified disabled persons are also encouraged. More details available at: https://jobs.ruhr-uni-bochum.de/jobposting/92da0411e7aeebfd8a116e70591929e633a6da870 -- Dr. Anand Subramoney Institut f?r Neuroinformatik (INI) Ruhr-Universit?t Bochum, Germany https://anandsubramoney.com From vinxlemons at gmail.com Tue May 3 07:22:29 2022 From: vinxlemons at gmail.com (Vincenzo Lomonaco) Date: Tue, 3 May 2022 13:22:29 +0200 Subject: Connectionists: [CfP - Deadline extended] Pervasive Artificial Intelligence Workshop @ IEEE WCCI 2022 Message-ID: Call for Papers Pervasive Artificial Intelligence Workshop IEEE WCCI 2022 - July 18-23 2022 Padua - Italy http://pai.di.unipi.it/paiw2022/ The WCCI 2022 Workshop on Pervasive AI aims to establish a new multidisciplinary community tackling challenges across edge AI, continual learning, embedded, distributed and federated learning, neuromorphic computing, AI-HPC, sustainable AI. AI is becoming a pervasive technology in ICT systems development, as well as for its presence in products and services of daily use. In particular, a pervasive use of neural-based methodologies and technologies comes at the cost of increased functional and non-functional requirements related to fundamental properties, such as energy efficiency, ability to continuously adapt to changing conditions and tasks, dependability, security and human-machine interactivity. The workshop encourages submissions from academia, industrial projects, and international research projects. Relevant topics include but are not limited to: - Adaptive placement of applications on the Cloud-Iot continuum - Algorithms, software and hardware platforms for high-performance and scalable processing of AI and ML models - Continuous reasoning on Cloud-IoT applications - Cybersecurity in ML - Design and development of algorithms, models and software for AI and ML - Distributed and embedded AI and learning - Distributed, embedded and in-silico neural computation - Deep graph networks in pervasive AI applications - Federated learning - Intelligent IoT and cyber-physical systems - Learning on streaming data and continual learning - Multi-agents systems in pervasive computing - Methods, algorithms and systems for human-aware, secure and safe AI in pervasive computing scenarios - ML-on-Cloud, ML-for-the-Cloud, ML as a service - ML-Ops - Neuromorphic computing - Learning at-the-edge - Safe AI - Sustainable AI - Trustworthy AI Submission Guidelines The workshop offers the possibility to opt for either non-archival contributions or published proceedings papers. Only regular papers, as defined below, can be included in the proceedings. The latter will be published under the CEUR-WS AIxIA series, which is open access and fully indexed by Scopus, DBLP and Scholar. The workshop accepts the following types of contributions: - Regular papers (min 10 pages, max 12 pages refs included): papers presenting mature research contributions - Short papers (min 5 pages, max 8 pages): papers presenting preliminary ideas, work in progress, position statements All contributions, irrespective of the type, will undergo a single blind peer review process with 2-3 anonymous referees. Articles should be formatted according to the CEUR-WS style: http://ceur-ws.org/Vol-XXX/CEURART.zip Submissions are handled via Easychair: https://easychair.org/conferences/?conf=paiw22 Important Dates Submission Deadline: May 12th 2022, AoE Notification to authors: May 31st 2022 Camera-ready upload: June 15th 2022, AoE Workshop dates: 18-19 July 2022 (exact day to be confirmed) Organizing Committee Davide Bacciu, Universit? di Pisa Antonio Carta, Universit? di Pisa Patrizio Dazzi, Consiglio Nazionale delle Ricerche Magdalini Eirinaki, San Jose State University Iraklis Varlamis, Harokopio University of Athens -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Tue May 3 08:48:01 2022 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Tue, 3 May 2022 13:48:01 +0100 Subject: Connectionists: [Ending Soon] - 3 Research Assistant positions under an ERC grant in object recognition Message-ID: Apologies for cross-posting. The Proaction Laboratory (Jorge Almeida?s Lab; proactionlab.fpce.uc.pt) at the University of Coimbra (www.uc.pt), Portugal is looking for 3 Research Assistants to work on a prestigious ERC Starting Grant project (ContentMAP; https://cordis.europa.eu/project/id/802553) on the neural organization of object knowledge. In this project we are exploring how complex information is topographically organized in the brain using fMRI and state of the art analytical techniques, as well as computational approaches, and neuromodulation. We strongly and particularly encourage applications from women, and from underrepresented groups in academia. General Requirements for the positions: 1. Candidates should have a BA and/or MA in Psychology, Cognitive Neuroscience, Computer Science, Computational Neuroscience or any other related field as long as their work relates to the specific profiles below. 2. They should already have their diplomas (so that we can start the process of recognition in Portugal, which is a necessary step for hiring). 3. Interest in object recognition and neural representation. 5. Very good English (oral and written) communicative skills are necessary. Specific requirements for the positions: 1. Understanding of and experience with fMRI and data analysis, and specifically with MVPA. 2. Strong programming skills (matlab, python, etc.) are a requirement. Salary and duration: The position will start as soon as possible and finish in January 2024. The salary is the standard for a PhD student in Portugal ? about 1100 per month tax free. Note that cost of living in Portugal (and particularly in Coimbra) is low compared to major European and American cities. Working conditions: The researcher will work directly with Jorge Almeida in Coimbra. The researcher will also be encouraged to develop her/his own projects and look for additional funding so that the stay can be extended. In fact, the expectation is that the applicants start a PhD one year after starting their positions. We have access to 2 3T MRI scanner with a 32-channel coil, to tDCS with neuronavigation, and to a fully set psychophysics lab. We have EEG and eyetracking on site. We also have access, through other collaborations, to a 7T scanner. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. How can I apply: Applicants are encouraged to apply as soon as possible as these positions will be closed as they are filled. Nevertheless, the deadline in May 15. The interested candidates should email Jorge Almeida for questions and applications. Please send an email (jorgealmeida at fpce.uc.pt) with the subject ?Research assistant positions under ERC - ContentMAP? with: 1. The Curriculum Vitae with a list of publications, 2. 2 Reference letters 3. A motivation letter with a short description of your experience in the field and how you fulfill the requirements (fit with the position). -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Tue May 3 08:51:47 2022 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Tue, 3 May 2022 13:51:47 +0100 Subject: Connectionists: [Ending Soon] Post-doctoral position under an ERC grant in object recognition (in computational neuroscience and/or in Neuroimaging and MVPA) Message-ID: Apologies for cross-posting. The Proaction Laboratory (Jorge Almeida?s Lab; proactionlab.fpce.uc.pt) at the University of Coimbra (www.uc.pt), Portugal is looking for 1 Post-Doctoral Researcher (in fMRI and Cognitive Neuroscience and/or in dimensionality reduction, SOMs and Computational Neuroscience) to work on a prestigious ERC Starting Grant project (ContentMAP; https://cordis.europa.eu/project/id/802553) on the neural organization of object knowledge. In this project we are exploring how complex information is topographically organized in the brain using fMRI and state of the art analytical techniques, as well as computational approaches, and neuromodulation. We strongly and particularly encourage applications from women, and from underrepresented groups in academia. General Requirements for the position: 1. Candidates should have a PhD in Psychology, Cognitive Neuroscience, Computer Science, Computational Neuroscience or any other related field as long as their work relates to the specific profiles below. 2. They should already have their diplomas (so that we can start the process of recognition in Portugal, which is a necessary step for hiring). 3. The candidate should be a recent graduate ? the date in their PhD diploma should not be before January 2020. 4. Interest in object recognition and neural representation. 5. Very good English (oral and written) communicative skills are necessary. Specific requirements for each profile: Cognitive Neuroscience/fMRI: 1. Excellent understanding of and experience with fMRI and data analysis, and specifically with MVPA and Representational Similarity Analysis is required. 2. Strong programming skills (matlab, python, etc.) are also a requirement. Mapping/SOMs/Computational Neuroscience: 1. Excellent understanding of Machine Learning especially applied to fMRI 2. Command of computational approaches for mapping and dimensionality reduction especially applied to neuroimaging (e.g., SOM ? self-organizing maps). Salary and duration: The position will start as soon as possible and finish in January 2024. The position involves no formal teaching (unless the candidate wants to). It does involve, however, lab mentoring. The salary is extremely competitive ? between 2200 and 2400 euros per month (dependent on experience), tax free (annual 26400-28800 euros tax free). This value is on par with the average salaries at top American institutions, as well as London, Paris, etc. However, the cost of living in Portugal (and particularly in Coimbra) is much lower. According to Numbeo, 2400 euros would be equivalent to 4850 pounds in London/4800 euros in Paris/6615 USD in Boston/6210 USD in Los Angeles/ 8330 USD in New York. Working conditions: The researcher will work directly with Jorge Almeida in Coimbra. The researcher will also be encouraged to develop her/his own projects and look for additional funding so that the stay can be extended. We have access to 2 3T MRI scanner with a 32-channel coil, to tDCS with neuronavigation, and to a fully set psychophysics lab. We have EEG and eyetracking on site. We also have access, through other collaborations, to a 7T scanner. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. How can I apply: Applicants are encouraged to apply as soon as possible as these positions will be closed as they are filled. Nevertheless, the deadline in May 15. The interested candidates should email Jorge Almeida for questions and applications. Please send an email (jorgealmeida at fpce.uc.pt) with the subject ?Post-doc position under ERC - ContentMAP? with: 1. The Curriculum Vitae with a list of publications, 2. 2 Reference letters 3. A motivation letter with a short description of your experience in the field and how you fulfill the requirements (fit with the position). -------------- next part -------------- An HTML attachment was scrubbed... URL: From eswc2022 at gmail.com Tue May 3 09:11:22 2022 From: eswc2022 at gmail.com (ESWC 2022) Date: Tue, 3 May 2022 15:11:22 +0200 Subject: Connectionists: ESWC 2022 Call for Project Networking Session Profiles Message-ID: *Call for Project Networking Session Profiles* The project networking track of ESWC2022 will provide an opportunity to: - Share knowledge between research projects; - Transfer data and technology between projects; - Present and discuss project requirements and results with ESWC participants; - Discuss funding opportunities such as Horizon Europe and ERC. The project networking track is intended to provide research projects with the ability to connect with each other and engage in discussions about their respective research and development. It fosters opportunities for knowledge and technology sharing, and to identify complementary activities and goals. This can form the basis for future collaborations, research proposals, researcher exchange, or joint participation at events or initiatives. *Who is invited?* We equally welcome submissions from recently finished projects, which have results to transfer, as well as ongoing and reprojects, which are seeking datasets and tools to perform their work and would like to network and exchange know-how, expertise or info with other EU-funded projects. *What to expect from the network session? * As the past two years most networking has taken place online, ESWC 2022 will offer you the opportunity to get to know researchers from different projects in a lightly organised setting. The network session chairs will match you with the most promising projects for you to talk to based on your profile during a series of ?speed dates?. As the networking session will take place before the gala dinner, you can continue conversations with your best matches there! *How to apply?* Describe your project?s objective, what you would like to share with other projects and what you hope to find in other projects at: https://forms.gle/jh6wpfT5D6sp7FUT6 This track will not be included in the proceedings, but your answers will be made available via the ESWC website to inform the community of the different projects in the session. *Deadline:* Send us your applications by Monday, 9 May 2022, 18:00 CET. Notification: Friday 13 May. -------------- next part -------------- An HTML attachment was scrubbed... URL: From barak at cs.nuim.ie Tue May 3 09:08:11 2022 From: barak at cs.nuim.ie (Barak A. Pearlmutter) Date: Tue, 3 May 2022 14:08:11 +0100 Subject: Connectionists: PhD and Postdoc Positions at Maynooth University, Ireland Message-ID: Rosemary Monahan and I are recruiting for three positions on the Modular AI Verification and Visualisation (MAIVV) project (https://www.cs.nuim.ie/research/pop/maivv.html) in the Principles of Programming group (https://www.cs.nuim.ie/research/pop/) in the Maynooth University Dept of Computer Science. Post Doctoral researcher in Software Verification (30 month contract, ?39,523??45,609 p.a.) https://www.cs.nuim.ie/research/pop/postdoc1.html Deadline for applications: May 8th 2022 Post Doctoral researcher in Visualising Deep Learning Systems (30 month contract, ?39,523??45,609 p.a.) https://www.cs.nuim.ie/research/pop/postdoc2.html Deadline for applications: May 8th 2022 Funded PhD student position (?102k over 4 years) http://www.cs.nuim.ie/research/pop/phd.html Deadline for applications: May 11th 2022 Inquiries to Dr Rosemary Monahan or myself (barak at cs.nuim.ie). From Menno.VanZaanen at nwu.ac.za Tue May 3 10:03:19 2022 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Tue, 3 May 2022 14:03:19 +0000 Subject: Connectionists: =?utf-8?q?3rd_=EF=BB=BFCfP=3A_Special_Issue_of_th?= =?utf-8?q?e_Journal_of_the_Digital_Humanities_Association_of_Southern_Afr?= =?utf-8?q?ica=3A_Crossroads_Digital_Humanities?= Message-ID: <7a74ea359d8b27cf4cc3250b6d66b24c8806daf3.camel@nwu.ac.za> 3rd ?CfP: Special Issue of the Journal of the Digital Humanities Association of Southern Africa: Crossroads Digital Humanities We invite authors and particularly those from the Digital Humanities community to submit manuscripts to a special issue of the JDHASA. In this special issue, we want to investigate the manifold connections of the Digital Humanities with academic disciplines that are not usually connected with DH. We also welcome comparative Digital Humanities studies of different datasets, and hands-on or analytical work in the sciences where Digital Humanities methods or approaches are applied. Practical examples of the application of Digital Humanities and their application to real life problems are equally welcome. In particular, research within the context of Southern Africa is encouraged. Topic of Interests include but are not limited to: * Connections of Digital Humanities and the Sciences, e.g., DH meets Medicine, Social Science, Education, Geography, or Climate Change; * Digital Humanities methods applied to multiple fields of Humanities, such as Literature and Music, Social Sciences and NLP, Language studies and Education; * Applications of Digital Humanities to real life problems in developing countries and communities; * Digital Humanities research in low-resource environments; * Theoretical or Hermeneutic studies of multi-disciplinary Digital Humanities. Formal requirements: * Manuscripts are to be submitted as PDF and .docx or .odt (or as zip- compressed Latex folder) on our website (Link here); Submissions have to be made directly via the journal website ( https://upjournals.up.ac.za/index.php/dhasa/ ); * All submissions should be formatted according to our style sheets (Link here); * Submissions should be max. 15 pages long excluding references; * The review process will be open (for both authors and reviewers). Important dates: * Submission deadline 15 May 2022 * Notification to authors, first review: 16 July 2022 * Revised manuscripts due: 31 August 2022 * Notification to authors, second review: 30 September 2022 * Final version: 15 November 2022 * Publication: December 2022 About the journal The Journal of the Digital Humanities Association of Southern Africa (DHASA) is a peer-reviewed open-access journal of DHASA. Since its foundation in 2016, DHASA has become the official network of digital humanities scholars in Southern Africa. DHASA members come from a wide variety of fields in the humanities, social sciences, and computer sciences. Guest editors Franziska Pannach, G?ttingen Centre for Digital Humanities, Germany Menno van Zaanen, South African Centre for Digital Language Resources, South Africa -- Prof Menno van Zaanen menno.vanzaanen at nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU CORONA VIRUS: https://www.nwu.ac.za/coronavirus/ NWU PRIVACY STATEMENT: https://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender by reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________ From antonior at usp.br Tue May 3 10:39:34 2022 From: antonior at usp.br (Antonio Roque) Date: Tue, 3 May 2022 11:39:34 -0300 Subject: Connectionists: Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil Message-ID: *Postdoctoral Fellowships inAcquisition, processing and quantitative analysis of neurobiological data* The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of S?o Paulo (USP), Brazil, and funded by the S?o Paulo Research Foundation (FAPESP), is offering one post-doctoral fellowship for recent PhDs with outstanding research potential. The fellowship will involve collaborations with research teams and laboratories associated with NeuroMat. The research to be developed by the post-doc fellow shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (S?o Paulo or Ribeirao Preto) or at UNICAMP (Campinas). We seek candidates capable of developing independent research in one of the research lines below. 1. Stochastic modeling of neurobiological data. 2. Acquisition, processing and quantitative analysis of neurobiological data. Candidates to the first research line are required to have a strong background in probability theory with emphasis on stochastic processes. Candidates to the second research line are required to have a strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. The initial appointment is for one year, with a possible extension to up to two years, conditional on research progress. The fellowship is competitive at an international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions: Applicants should complete and submit the application form. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the format required by FAPESP (see fapesp.br/en/6351 for instructions); - List of publications, with links to those available online. - A summary of the research plan for the next year, up to 5 pages in length. This document must explicitly state for which of the two aforementioned profiles the candidate has applied. It should also address how this research plan fits within the framework of the NeuroMat research program. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least two recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl at numec.prp.usp.br. Timetable: Candidates are encouraged to apply at their earliest convenience until May 31, 2022. Appointment is expected to start by July or August 2022. The initial period of the position lasts for 12 months, with possible renewals for up to two years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Postdoctoral fellowships in the amount of BR 8,479.20 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent on items directly related to the research activity. More details on FAPESP's postdoctoral fellowships are available at: fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior at usp.br aroquesilva at gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887> -------------- next part -------------- An HTML attachment was scrubbed... URL: From Justus-prof at Piater.name Tue May 3 15:48:54 2022 From: Justus-prof at Piater.name (Justus Piater) Date: Tue, 03 May 2022 21:48:54 +0200 Subject: Connectionists: 2 Ph.D. Student Positions in Machine Learning for Robotics or Computer Vision at U. Innsbruck, Austria Message-ID: <875ymm1jo9.fsf@uibk.ac.at> The Intelligent and Interactive Systems group (Prof. Justus Piater and Prof. Antonio Rodr?guez-S?nchez) is looking for two talented Ph.D. candidates. THE POSITIONS These are university doctoral positions that involve minor teaching duties. The precise research topics are negotiable within the scope of active research at IIS, including machine learning and growing levels of AI for computer vision and robotics. YOUR PROFILE Applicants must have - earned, or be about to earn, an M.Sc. degree or equivalent in computer science or other relevant area, - an excellent academic record, - a strong background in machine learning and in robotics or computer vision, - excellent mathematical and coding skills (C/C++, Matlab, ROS, Python), - excellent written and oral communication skills in English, and - enthusiasm for leading-edge research, a team spirit and independent problem-solving skills. HOW TO APPLY Apply by May 28, 2022 via https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=12641. The ideal starting date is September 15, 2022. THE UNIVERSITY OF INNSBRUCK, AUSTRIA The University of Innsbruck offers a complete set of academic curricula and currently counts 28000 students. Founded in 2001, the Department of Computer Science is highly productive in diverse research domains, and is internationally very well connected. Innsbruck is home to 35000 students who imprint a distinctive, international student atmosphere upon this lively city of 130000. Beautifully located in the Tyrolean Alps, on the Inn river and surrounded by summits of up to 2718m, Innsbruck offers outstanding opportunities and quality of life all around the year. -- Head, Digital Science Center https://www.uibk.ac.at/disc/ Computer Science, Intelligent and Interactive Systems https://iis.uibk.ac.at/ University of Innsbruck, Austria From darrylestrada97 at gmail.com Tue May 3 10:25:24 2022 From: darrylestrada97 at gmail.com (Darryl Estrada) Date: Tue, 3 May 2022 16:25:24 +0200 Subject: Connectionists: =?utf-8?q?=F0=9F=8F=83_FINAL_CFP_DISTEMIST_Shared?= =?utf-8?q?_task=3A_Named_Entity_Recognition_and_Normalization_of_d?= =?utf-8?q?iseases=2E?= Message-ID: [image: Distemist] Call for Participation: *Detection and normalization of diseases mentions.* *CLEF 2022 | BOLOGNA, ITALY* Register now *What to expect from this track* DISTEMIST is the first track that focuses specifically on the automatic detection of disease mentions and their normalization (SNOMED CT) in Spanish clinical case documents. The DISTEMIST data was tested to develop disease taggers previously applied to a diversity of medical records. Disease mention detection systems have been implemented and used to process a diversity of content types, including scientific publications, clinical records, clinical trials, patient forums or social media, resulting in a component integrated into a diversity of practically relevant application types, such as: Drug discovery, repurposing and off label indications Disease outbreak monitoring/surveillance and epidemiology tools Extraction of disease phenotype or comorbidities Clinical coding of diagnosis Occupational health studies Pharmacogenomics *Subtracks* ? We foresee that participation in the DISTEMIST track will contribute to generate resources that will improve the exploitation of clinical unstructured data and thus unlock valuable health information, assist data curation and facilitate quality evaluation and interpretability of disease mention detection systems. Inspired by previous initiatives (n2c2, BioCreative) and shared tasks (CANTEMIST, PharmaCoNER, or CodiEsp), we are launching the DISTEMIST shared task as part of the BioASQ 2022 evaluation initiative (co-located with CLEF 2022), with the following two sub-tracks: [image: Ella Becker] DISTEMIST-Entities *Automatic mention detection of diseases.* [image: Archie Kendal] DISTEMIST-Linking *Finding mentions of diseases and normalizing them to their Snomed-CT concept identifiers.* *What's NEW!! ? (May 2022)* We released *multilingual resources * to foster the development of multilingual tools and generate systems not only for Spanish but also for content in English and Romance languages (French, Portuguese, Catalan , Italian and Romanian): DISTEMIST-English, DISTEMIST-Italian, DISTEMIST-French, DISTEMIST-Portuguese, DISTEMIST-Catalan and DISTEMIST-Romanian. *Language comparison SPA * ?? * vs ENG * ?? *Resources ?* WEB DATA ANNOTATION GUIDELINES GAZETTER MULTILINGUAL DATA SET ? *Schedule ?* May 10th, 2022 Test Set Release May 15th, 2022 Participant Test Prediction Due May 27th, 2022 Working paper submission June 13th, 2022 Notification of acceptance (peer-view) July 1st, 2022 Camera-ready system descriptions September, 2022 BioASQ @ CLEF 2022 *Scientific Committee * Ulf Leser Humboldt-Universit?t zu Berlin Francisco Couto Universidade de Lisboa Jin-Dong Kim Database Center for Life Science (DBCLS), Japan Ozlem Uzuner George Mason University Jos? Casta?o Buenos Aires University Laura Furlong Universitat Pompeu Fabra Martin Hofmann-Apitius Universit?t Bonn Dina Demner-Fushman Lister Hill National Center for Biomedical Communications, US *INVOLVED ORGANIZATIONS* Teams participating in DISTEMIST will be invited to contribute a systems description paper for the BioASQ (CLEF 2022) Working Notes proceedings and a short presentation of their approach at the CLEF 2022 conference. If you receive multiple emails for this same call for participation, We are very sorry for the inconvenience. -------------- next part -------------- An HTML attachment was scrubbed... URL: From f.errica93 at gmail.com Wed May 4 05:58:58 2022 From: f.errica93 at gmail.com (Federico Errica) Date: Wed, 4 May 2022 11:58:58 +0200 Subject: Connectionists: [CfP - Deadline Extended] Deep Learning for Graphs -- ESANN 2022 Message-ID: Call for Papers: "Deep Learning for Graphs" Special Session of the European Symposium on Artificial Neural Networks ? ESANN 2022 5 - 7th October 2022, Bruges, Belgium (and online) Conference Page: https://www.esann.org/ Papers submission deadline: May 16, 2022 (AoE). Papers Submission System: https://www.esann.org/node/6 Description Traditional deep learning approaches have been developed assuming data to be encoded into feature vectors, however many important real-world applications generate data that are naturally represented by more complex structures, such as graphs. Graphs are particularly suited to represent relations between the components constituting an entity, allowing us to effectively describe systems of interacting elements, like social, biological, and technological networks, as well as data where topological variations influence the feature of interest, e.g., the interaction of proteins or molecular compounds. This has motivated a recent increasing interest of the machine learning community in the development of learning models for structured information. The field of graph deep learning, in particular, combines the ability of deep neural networks to learn representations end-to-end with this explicit description of relations in the data. Specifically, the class of models at the heart of graph deep learning, generically called Graph Neural Networks (GNNs), extend and generalize typical convolutional neural networks to process arbitrary graphs. Topics Topics of interest to this session include, but are not limited to: - Graph Neural Networks: theory and applications - Graph representational learning - Graph generation (probabilistic models, variational autoencoders, adversarial learning, etc.) - Graph learning and relational inference - Graph kernels and distances - Scalability, data efficiency, and training techniques of graph neural networks - Deep learning for dynamic graphs and graph sequences - Reservoir computing and randomized neural networks for graphs - Recurrent, recursive and contextual models - Graph datasets and benchmarks - Applications in natural language processing, computer vision (e.g. point clouds), materials science, cheminformatics, computational biology, social networks, etc. Important Dates: Papers submission deadline: May 16, 2022 (AoE). Decision Notification to Authors: by July 19, 2022 Organizers Luca Pasa, University of Padova (IT) Nicol? Navarin, University of Padova (IT) Daniele Zambon, Universit? della Svizzera Italiana (CH) Davide Bacciu, University of Pisa (IT) Federico Errica, NEC Laboratories Europe (DE) -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Wed May 4 07:10:09 2022 From: sebastien.destercke at hds.utc.fr (=?UTF-8?Q?S=C3=A9bastien_Destercke?=) Date: Wed, 4 May 2022 13:10:09 +0200 Subject: Connectionists: First SIPTA seminar: 30th of May, at 15:00 CEST, Gert de Cooman talking about "Imprecision, not as a problem, but as part of the solution" SIPTA In-Reply-To: References: Message-ID: Dear colleagues, We are thrilled to announce that SIPTA will soon host its very first online seminar on imprecise probabilities (IP); the start of what will hopefully be a long series of engaging talks on IP and its applications. These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. For our first seminar, we are very happy to have Gert de Cooman as our inaugural speaker. He has been a strong advocate of IP for over 20 years, was a founding member and the first president of SIPTA, and contributed to the foundations of IP ever since. On the 30th of May, at 15:00 CEST, he will open our series with a talk on ?Imprecision, not as a problem, but as part of the solution?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar will appear on that same page shortly before the event. So please mark your calendars on the 30th of May, 15:00 CEST, and join us in opening this series with a bang. See you at the seminar! S?bastien Destercke, Enrique Miranda and Jasper De Bock From chz8 at aber.ac.uk Wed May 4 07:29:55 2022 From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff)) Date: Wed, 4 May 2022 11:29:55 +0000 Subject: Connectionists: SPECIES Scholarships - First Call for Candidate Applications Message-ID: (Apologies for cross-posting) ********************************************************************************* SPECIES Scholarships - First Call for Candidate Applications Website: http://species-society.org/scholarships-2022/ Email: students at species-society.org Deadline for candidate applications: 13 June 2022 ********************************************************************************* SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings, is proud to announce the 3rd round of SPECIES scholarships. This year, the scheme will be open to current research students and recent PhD graduates (up to 24 months prior to the application deadline) to work with relevant research groups. Research students include PhD students as well as students on research-oriented master programmes (e.g., MPhil, MRes, MSc with a significant research component). The recipients of the scholarships will receive an allowance of 900 euros per month to cover accommodation and living expenses during a three months in-person internship at one of the available host institutions, working under the supervision of an advisor. The list of available host institutions can be found here: http://species-society.org/scholarship-hosts-2022/ More information including conditions of the scholarships and details on how to apply can be found on the SPECIES website: http://species-society.org/scholarships-2022/ Email: students at species-society.org Deadline for candidate applications: 13 June 2022 ---------------------------------------------------------------------------------------------------------------------- Y Brifysgol orau yn y DU am Ansawdd ei Dysgu a Phrofiad Myfyrwyr Best University in the UK for Teaching Quality and Student Experience (The Times and Sunday Times, Good University Guide 2021) Rydym yn croesawu gohebiaeth yn Gymraeg a Saesneg. Cewch ateb Cymraeg i bob gohebiaeth Gymraeg ac ateb Saesneg i bob gohebiaeth Saesneg. Ni fydd gohebu yn Gymraeg yn arwain at oedi. We welcome correspondence in Welsh and English. Correspondence received in Welsh will be answered in Welsh and correspondence in English will be answered in English. Corresponding in Welsh will not involve any delay. From riccardo.guidotti at unipi.it Wed May 4 11:31:58 2022 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Wed, 4 May 2022 17:31:58 +0200 Subject: Connectionists: XKDD 2022 - Call for Papers Message-ID: XKDD 2022 - Call for Papers ------------------------------------------------------------------------- 4th International Workshop on eXplainable Knowledge Discovery in Data Mining ------------------------------------------------------------------------- CONTEXT & OBJECTIVES In the past decade, machine learning based decision systems have been widely used in a wide range of application domains, like credit score, insurance risk, and health monitoring, in which accuracy is of the utmost importance. Although the support of these systems has an immense potential to improve the decision in different fields, their use may present ethical and legal risks, such as codifying biases, jeopardizing transparency and privacy, and reducing accountability. Unfortunately, these risks arise in different applications. They are made even more serious and subtly by the opacity of recent decision support systems, which are often complex and their internal logic is usually inaccessible to humans. Nowadays, most Artificial Intelligence (AI) systems are based on Machine Learning algorithms. The relevance and need for ethics in AI are supported and highlighted by various initiatives arising from the researches to provide recommendations and guidelines in the direction of making AI-based decision systems explainable and compliant with legal and ethical issues. These include the EU's GDPR regulation which introduces, to some extent, a right for all individuals to obtain ``meaningful explanations of the logic involved'' when automated decision making takes place, the ``ACM Statement on Algorithmic Transparency and Accountability'', the Informatics Europe's ``European Recommendations on Machine-Learned Automated Decision Making'' and ``The ethics guidelines for trustworthy AI'' provided by the EU High-Level Expert Group on AI. The challenge to design and develop trustworthy AI-based decision systems is still open and requires a joint effort across technical, legal, sociological and ethical domains. The purpose of XKDD, eXplainable Knowledge Discovery in Data Mining, is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining and machine learning. The workshop will seek top-quality submissions related to ethical, fair, explainable and transparent data mining and machine learning approaches. Also, this year the workshop will seek submissions addressing uncovered important issues in specific fields related to eXplainable AI (XAI), such as privacy and fairness, application in real case studies, benchmarking, explanation of decision systems based on time series and graphs which are becoming more and more important in nowadays applications. Papers should present research results in any of the topics of interest for the workshop, as well as tools and promising preliminary ideas. XKDD asks for contributions from researchers, academia and industries, working on topics addressing these challenges primarily from a technical point of view but also from a legal, ethical or sociological perspective. Topics of interest include, but are not limited to: TOPICS - Explainable Artificial Intelligence (XAI) - Interpretable Machine Learning - Transparent Data Mining - XAI for Fairness Checking approaches - XAI for Privacy-Preserving Systems - XAI for Federated Learning - XAI for Time Series based Approaches - XAI for Graph-based Approaches - XAI for Visualization - XAI in Human-Machine Interaction - XAI Benchmarking - XAI Case studies - Counterfactual Explanations - Ethics Discovery for Explainable AI - Privacy-Preserving Explanations - Transparent Classification Approaches - Explanation, Accountability and Liability from an Ethical and Legal Perspective - Iterative Dialogue Explanations - Explanatory Model Analysis - Human-Model Interfaces - Human-Centered Artificial Intelligence - Human-in-the-Loop Interactions - XAI Case Studies and Applications SUBMISSION & PUBLICATION All contributions will be reviewed by at least three members of the Program Committee. As regards size, contributions can be up to 16 pages in LNCS format, i.e., the ECML PKDD 2022 submission format. All papers should be written in English. The following kinds of submissions will be considered: research papers, tool papers, case study papers and position papers. Detailed information on the submission procedure is available at the workshop web page: https://kdd.isti.cnr.it/xkdd2022/ Accepted papers will be published after the workshop by Springer in a volume of Lecture Notes in Computer Science (LNCS). The condition for inclusion in the post-proceedings is that at least one of the co-authors registered to ECML-PKDD and presented the paper at the workshop. Pre-proceedings will be available online before the workshop. We also allow accepted papers to be presented without publication in the conference proceedings if the authors choose to do so. Some of the full paper submissions may be accepted as short papers after review by the Program Committee. A special issue of a relevant international journal with extended versions of selected papers is under consideration. The submission link is: https://easychair.org/conferences/?conf=xkdd2022 IMPORTANT DATES Paper Submission deadline: June 20, 2022 Accept/Reject Notification: July 13, 2022 Camera-ready deadline: July 31, 2022 Workshop: September 19, 2022 PROGRAM CO-CHAIRS * Przemyslaw Biecek, Warsaw University of Technology, Poland * Riccardo Guidotti, University of Pisa, Italy * Francesca Naretto, Scuola Normale Superiore, Pisa, Italy * Andreas Theissler, Aalen University of Applied Sciences, Aalen, Germany PROGRAM COMMITTEE * Francesco Bodria, Scuola Normale Superiore, Italy * Miguel Couceiro, INRIA, France * Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain * Andreas Holzinger, Medical University of Graz, Austria * Thibault Laugel, AXA, France * Paulo Lisboa, Liverpool John Moores University, UK * Marcin Luckner, Warsaw University of Technology, Poland * John Mollas, Aristotle University of Thessaloniki, Greece * Antonio Rago, Imperial College London, UK * Jan Ramon, INFRIA, France * Mahtab Sarvmaili, Dalhousie University, Canada * Christin Seifert, University of Duisburg-Essen, Germany * Udo Schlegel, Konstanz University, Germany * Mattia Setzu, University of Pisa, Italy * Dominik Slezak, University of Warsaw, Poland * Fabrizio Silvestri, Universit? di Roma, Italy * Francesco Spinnato, Scuola Normale Superiore, Italy * Vicenc Torra, Umea University, Sweden * Marco Virgolin, Chalmers University of Technology, Netherlands * Martin Jullum, Norwegian Computing Center, Norway * Albrecht Zimmermann, Universit? de Caen, France INVITED SPEAKERS TBD STEERING COMMITTEE * Riccardo Guidotti, University of Pisa * Anna Monreale, University of Pisa * Salvatore Rinzivillo, ISTI-CNR, Pisa PARTICIPATION ECML-PKDD 2022 plans a hybrid organization for workshops. Therefore a person can attend an online event as long as she/he registers for the conference by using the video conference registration fee: https://2022.ecmlpkdd.org/index.php/registration/. Please note the video conference registration fee also allows you to follow the main conference. However, for an in-person event, interactions and discussions are much easier face-to-face. Thus, we believe that it is important that speakers attend in-person workshops to get fruitful events, and we highly encourage authors of submitted papers to plan to participate on-site at the event. CONTACT All inquiries should be sent to xkdd2022 at easychair.org -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 363 Phone: +39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccc22.conference at gmail.com Thu May 5 01:49:05 2022 From: iccc22.conference at gmail.com (ICCC 2022) Date: Thu, 5 May 2022 15:49:05 +1000 Subject: Connectionists: Doctoral Consortium: The 13th International Conference on Computational Creativity (ICCC'22) Message-ID: (Apologies for cross-posting - Please distribute!) *DOCTORAL CONSORTIUM The 13th International Conference on Computational Creativity (ICCC'22)* *June 27 ? July 1, 2022, Bozen-Bolzano, Italy * *(physical event supporting some virtual presence) * *Doctoral Consortium * https://computationalcreativity.net/iccc22/doctoral-consortium/ ????????????????????? **** Doctoral Consortium Deadline *** *May 20th ????????????????????? *Doctoral Consortium:* Get inspired in your creativity research by joining ICCC?s Doctoral Consortium! At ICCC we offer graduate and PhD students a chance to present their projects at the conference with or without an accepted paper in one of the main tracks. The Doctoral Consortium welcomes applicants at any stage to submit a short summary of their research topic for inclusion in the conference. Accepted applicants will be asked to hold a poster presentation of their research project at the conference and will be assigned a senior CC-researcher as a personal mentor during the event. All DC contributions will be published in the ICCC workshop proceedings. *Apply:* Using the ICCC template, please send a 2-3-pages long summary of your research project together with a CV no later than *May 20th* to: *iccc22 at computationalcreativity.net * Write: ?Application to the ICCC Doctoral Consortium? in the subject line. *Scholarship:* The Artificial Intelligence Journal offers a limited number of scholarships to cover the registration cost for students participating in ICCC. Applicants accepted at the DC will be allowed to apply for one of these scholarships. **** Important Dates Doctoral Consortium **** Deadline: May 20th, 2022 Conference: June 27-July 1, 2022 **** Organizing Committee **** General Chairs: Oliver Kutz & Tony Veale Local Chair: Roberto Confalonieri Program Chairs: Anna Kantosalo & Maria M. Hedblom ---------------------------------------- Follow us at: Facebook ? https://www.facebook.com/pg/computationalcreativity/ Twitter ? https://twitter.com/iccc_conf Instagram ? https://www.instagram.com/iccc_conf/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Wed May 4 17:38:26 2022 From: cgf at isep.ipp.pt (Carlos) Date: Wed, 4 May 2022 22:38:26 +0100 Subject: Connectionists: CFP: SoGood2022 Message-ID: <4a6e8aa3-dfc7-f6aa-f559-b7a67ccc4098@isep.ipp.pt> Call for Papers SoGood 2022 ? 7th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2022, 19-23 September, Grenoble, France, https://2022.ecmlpkdd.org/ Workshop site: https://sites.google.com/view/ecmlpkddsogood2022/ The possibilities of Data Science for contributing to social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models" or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of social impact of the application. This workshop aims to attract papers presenting applications of Data Science for Social Good (which may, or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes: ? Government transparency and IT against corruption ? Public safety and disaster relief ? Access to food, water, sanitation and utilities ? Efficiency and sustainability ? Climate change ? Data journalism ? Social and personal development ? Economic growth and improved infrastructure ? Transportation ? Energy ? Smart city services ? Education ? Social services, unemployment and homeless ? Healthcare and well-being ? Support for people living with disabilities ? Responsible consumption and production ? Gender equality, discrimination against minorities ? Ethical issues, fairness, and accountability. ? Trustability and interpretability ? Topics aligned with the UN development goals: http://www.un.org/sustainabledevelopment/sustainable-development-goals/ The major selection criteria will be the quality of the work, the novelty of the application, and its social impact. We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organizations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects, which may not be strictly "non-profit" but have Social Good as their main focus. There will be an award for the best paper. Paper submission: Authors should submit a PDF version in Springer LNCS style using the workshop EasyChair site: https://easychair.org/my/conference?conf=sogood2022. The maximum length of papers in 16 pages, including references, consistent with the ECML PKDD conference submissions. Submitting a paper to the workshop means that if the paper is accepted, at least one author will attend the workshop and present the paper. Papers not presented at the workshop will not be included in the proceedings. We will follow ECML PKDD?s policy for attendance. Paper publication: Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops. Workshop format: ? Half-day workshop ? 1-2 keynote talks, speakers to be announced ? Oral presentation of accepted papers Important Dates: ? Workshop paper submission deadline: June 20, 2022 ? Workshop paper acceptance notification: July 13, 2022 ? Workshop paper camera-ready deadline: July 27, 2022 ? Workshop: September 23, 09h-12.30, 2022 (TBC) Program Committee members (more to be added): ? Thiago Andrade, INESC TEC, Portugal ? Andre de Carvalho, University of S?o Paulo, Brazil ? Carlos Ferreira, INESC TEC and IPP, Portugal ? Elaine Faria, University of Uberlandia, Brasil ? C?sar Ferri, Technical University of Valencia, Spain ? Konstantin Kutzkov, Amalfi Analytics, Spain ? Ana Lorena, Technological Institute of Aeronautics, Brazil ? Rita Nogueira, INESC TEC, Porto, Portugal ? Maria Pedroto, INESC TEC, Porto, Portugal ? Sonia Teixeira, INESC TEC, Porto, Portugal ? Emma Tonkin, University of Bristol, UK ? Alicia Troncoso, University Pablo de Olavide, Spain ? Kristina Yordanova, University of Rostock, Germany ? Mart? Zamora, UPC BarcelonaTech, Spain Organizers: ? Ricard Gavald? (UPC BarcelonaTech, Spain), gavalda at cs.upc.edu ? Irena Koprinska (University of Sydney, Australia), irena.koprinska at sydney.edu.au ? Jo?o Gama (University of Porto, Portugal), jgama at fep.up.pt ? Rita Ribeiro (University of Porto, Portugal), rpribeiro at fc.up.pt 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 ioannakoroni at csd.auth.gr Thu May 5 03:28:04 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 5 May 2022 10:28:04 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Jan_Peters=3A?= =?utf-8?b?IOKAnFJvYm90IExlYXJuaW5n4oCdLCAxMHRoIE1heSAyMDIyIDE3OjAw?= =?utf-8?q?-18=3A00_CET=2E_Upcoming_AIDA_AI_excellence_lectures?= References: <00b201d85acd$7c21b910$74652b30$@csd.auth.gr> <010201d85b0b$c7d591e0$5780b5a0$@csd.auth.gr> Message-ID: <0cec01d86051$a9315670$fb940350$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Jan Peters (Technische Universitaet Darmstadt, Germany), a prominent AI & Robotics researcher internationally, will deliver the e-lecture: ?Robot Learning?, on Tuesday 10th May 2022 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/92400537552 & Passcode: 148148 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE , Humane AI Net , TAILOR , VISION , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lecture: Prof. Luc De Raedt (KU Leuven, Belgium), ?Probabilistic Logics to Neuro-Symbolic Artificial Intelligence?, 7th June 2022 17:00 ? 18:00 CET. More lecture infos in: https://www.i-aida.org/events/probabilistic-logics-to-neuro-symbolic-artificial-intelligence/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From pia.klabunn at charite.de Thu May 5 06:32:22 2022 From: pia.klabunn at charite.de (Klabunn, Pia) Date: Thu, 5 May 2022 10:32:22 +0000 Subject: Connectionists: =?windows-1252?q?Postdoctoral_Position_-_Collabor?= =?windows-1252?q?ative_Research_Center_1315_=93Memory_Consolidation=94_?= =?windows-1252?q?=28Berlin=2C_Germany=29_-_Starting_date_October_2022_=A0?= Message-ID: <6f8f445829b748d9911a68454da56a2f@charite.de> Dear all, We invite applications for a four-year postdoctoral position in the CRC 1315 project ?Spatial Memory Consolidation Networks?. The CRC 1315 ?Memory Consolidation? brings together outstanding memory researchers from Berlin institutions, including Charit?, Humboldt-Universit?t zu Berlin, Freie Universit?t Berlin and Technische Universit?t Berlin. The successful applicant will become a member of the Brain & Behavior Group at the Dept. of Neurology at Charit? Berlin and will be embedded in an interdisciplinary network of basic and clinical neuroscience researchers. There will be continuous exchanges with Postdocs, PhD students and Faculty of the CRC and associated institutions, including the Excellence Cluster NeuroCure, the Bernstein Center for Computational Neuroscience and the Berlin School of Mind and Brain. The project combines electrophysiological, pharmacological, imaging and lesion approaches in human patients and normal human subjects with behavioral/virtual reality paradigms to study contextual modulation of spatial memory consolidation. Please see the attached project summary and graphical abstract for more details. Requirements ? PhD/Dr in Medicine, Psychology, Cognitive Science, Neuroscience, Biology, Computer Science or related disciplines with excellent results ? Experience in one of the proposed research methods (i.e., electrophysiology/intracranial recordings, neuroimaging (structural/functional MRI), human lesion studies, behavioral/virtual reality studies ? Programming skills, preferably in Matlab, Python or R Desirable ? Familiarity with memory research, spatial cognition and hippocampal function ? Experience in the study of clinical populations Please contact us for further details: christoph.ploner at charite.de or carsten.finke at charite.de. Send your application as a single PDF file including a CV, a motivation letter and a statement of research experience, and the names and contact details of two academic references to carsten.finke at charite.de (applications will be considered until the position is filled). Best regrads Pia Klabunn, Carsten Finke and Christoph Ploner -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc Position SFB1315 - B05.pdf Type: application/pdf Size: 443440 bytes Desc: Postdoc Position SFB1315 - B05.pdf URL: From j.roget at sanoscience.org Thu May 5 12:49:46 2022 From: j.roget at sanoscience.org (Joan Falco Roget) Date: Thu, 5 May 2022 16:49:46 +0000 Subject: Connectionists: Invitation 1st international Summer School on Neuroimaging, NeuroScience, Neuroncology Message-ID: Dear Colleagues, I would like to invite you to 1st international Summer School on Neuroimaging, NeuroScience, Neuroncology 4?9 July, 2022, Aktea Hotel, Lipari, Italy https://www.neurosummerschool.org A first edition of the Sano Summer School dedicated to bridging global neuroscience world. Scope: The school is aimed at providing lectures and workshops about Neuroimaging, NeuroScience, Neuroncology for PhD students, post-doctoral researchers, and faculty/company members. Program comprises lectures and workshops with * Karl Friston * Alain Chedotal * Danielle Bassett * Luiz Pessoa * Bozena Kaminska * Randy Mcintosh * Walter Riviera * Marcin Wierzbinski * Mara Cercignani * Martijn van den Heuvel * Andras Jakab Organizing committee * Alessandro Crimi, Brian&More lab of Sano Science (Krakow, Poland) * Spyridon Bakas, Pereleman School of Medicine of University of Pennsylvania (Philadelphia, USA) Except further COVID-19 restrictions, with the idyllic landscape of the Aeolian islands, we invite you to lectures by well-known worldwide speakers, workshops, and tutorials. Complete program will be posted. Climbing the sulphuric crater of Vulcano is planned, as well as a boat trip to Panarea lagoons and around the active volcano of Stromboli. Due to Covid restrictions we will limit to 70 participants, with no particular pre-selection (First-Registered-First-Served). See you in Lipari. Joan -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Thu May 5 10:37:23 2022 From: gangluo at cs.wisc.edu (GANG LUO) Date: Thu, 5 May 2022 14:37:23 +0000 Subject: Connectionists: Call for Papers - International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2022) In-Reply-To: References: Message-ID: -- Call for Papers -- The Eighth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2022) In Conjunction with VLDB 2022 Sydney, Australia - virtual event September 9, 2022 https://sites.google.com/view/vldbdmah2022/ The format of the workshop is to be decided, but a virtual format will be provided for remote participation. Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modeling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2022 accept two types of papers: 1) Regular Research Papers: These papers should report original research results or significant case studies. They should be at most 18 pages. 2) Extended Abstracts: The extended abstracts will present novel research directions or identify challenging problems. They should be at most 4 pages. Important Dates: Abstract (optional): May 20, 2022 Individual Workshop Papers: May 26, 2022 Notification of Acceptance: June 20, 2022 Camera Ready: June 25, 2022 Workshop date: September 9, 2022 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Dejun Teng, Alibaba Inc., China Jun Kong, Georgia State University, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at di.ku.dk Fri May 6 04:19:55 2022 From: mm at di.ku.dk (Maria Maistro) Date: Fri, 6 May 2022 08:19:55 +0000 Subject: Connectionists: 3 PhD positions University of Copenhagen, deadline May 19 Message-ID: <9A01613C-7B1D-4C89-AEEE-BC07E505CFF6@ku.dk> 3 PhD fellowships in applied Machine Learning, Information Retrieval and Natural Language Processing The Information Retrieval Lab of the Department of Computer Science at the University of Copenhagen (DIKU) is offering 3 fully funded PhD Fellowships in applied Machine Learning, Information Retrieval, and Natural Language Processing, commencing 1 September 2022 or as soon as possible thereafter. The fellows will conduct research, having as starting point the following broad research areas: * a fully-funded PhD in interpretability of applied machine learning; * a fully-funded PhD in overparameterization and generalizability in deep neural architectures; * a fully-funded PhD in web & information retrieval; We are looking for candidates with a MSc degree in a subject relevant for the research area. The successful candidate is expected to have strong grades in Machine Learning and/or Information Retrieval and/or Natural Language Processing. Successful candidates should have a preliminary research record as witnessed by a master thesis or publications in the area. The deadline for applications is 19 May 2022, 23:59 GMT +2. Full job description: https://employment.ku.dk/phd/?show=156455 ??? Maria Maistro, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Fri May 6 11:34:01 2022 From: amir.kalfat at gmail.com (Amir Aly) Date: Fri, 6 May 2022 16:34:01 +0100 Subject: Connectionists: [meetings] CRNS Talk Series (8) - Live Talk by Dr. Ben Robins - The University of Hertfordshire - UK Message-ID: Dear All * *Apologies for cross-posting* * The* Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. **Ben Robins* from the* University of Hertfordshire* - UK on Wednesday, *May 11th *from *11:00 am *to *12:30 pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/94154285676?pwd=eTFTRHZ1c2lHRXVpVVFHUStUbDNGQT09&from=addon >> *Title of the talk*: Robots as therapeutic tools: Encouraging social interaction skills in children with autism *Abstract*: The talk will present several robots including the childlike robot KASPAR which was developed at the University of Hertfordshire, UK, and the ways in which the robots can engage autistic children in simple interactive activities such as turn-taking and imitation games, and how the robots assume the role of a social mediator - encouraging children with autism to interact with other people (children and adults). The talk will also present several case study examples taken from the work with children with autism at schools and at family homes, showing the possible implementation of KASPAR for therapeutic or educational objectives. These case studies show how the robot can: * helps to break the isolation * encourages the use of language, * mediates child-child or child-adult interaction, * helps children with autism manage collaborative play, * compliments the work in the classroom * provides the opportunity for basic embodied and cognitive learning (e.g. cause and effect; exploring basic emotions such as ?happy? and ?sad?; Visual Perspective Taking skills). * at home ? brings the family together >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Sat May 7 05:36:19 2022 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Sat, 7 May 2022 09:36:19 +0000 Subject: Connectionists: ESANN 2022 - Extended deadline for submissions Message-ID: ESANN 2022 - 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium and online, 5-6-7 October 2022 https://www.esann.org Extended deadline for submissions Due to numerous requests the deadline to submit papers to the ESANN 2022 conference has been extended to May 16, 2022. Please note that no further extension will be given. Looking forward to seeing you at ESANN 2022, The organizing committee. ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 7 05:20:40 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 7 May 2022 11:20:40 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Summer: early registration May 8 Message-ID: <1879834157.434164.1651915240408@webmail.strato.com> ****************************************************************** 6th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2022 Summer Las Palmas de Gran Canaria, Spain July 25-29, 2022 https://irdta.eu/deeplearn/2022su/ ***************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: May 8, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Bournemouth, and Guimar?es. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/index.php?option=com_k2&view=item&layout=item&id=360&Itemid=896 STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wahid Bhimji (Lawrence Berkeley National Laboratory), Deep Learning on Supercomputers for Fundamental Science Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), Machine Learning -- A Paradigm Shift in Human Thought!? Kate Saenko (Boston University), Overcoming Dataset Bias in Deep Learning PROFESSORS AND COURSES: Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning: From Theory to Applications in the Natural Sciences Arindam Banerjee (University of Illinois Urbana-Champaign), [intermediate/advanced] Deep Generative and Dynamical Models Mikhail Belkin (University of California San Diego), [intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation Arthur Gretton (University College London), [intermediate/advanced] Probability Divergences and Generative Models Phillip Isola (Massachusetts Institute of Technology), [intermediate] Deep Generative Models Mohit Iyyer (University of Massachusetts Amherst), [intermediate/advanced] Natural Language Generation Irwin King (Chinese University of Hong Kong), [intermediate/advanced] Deep Learning on Graphs Vincent Lepetit (Paris Institute of Technology), [intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding Dimitris N. Metaxas (Rutgers, The State University of New Jersey), [intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis Sean Meyn (University of Florida), [introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design Louis-Philippe Morency (Carnegie Mellon University), [intermediate/advanced] Multimodal Machine Learning Wojciech Samek (Fraunhofer Heinrich Hertz Institute), [introductory/intermediate] Explainable AI: Concepts, Methods and Applications Clara I. S?nchez (University of Amsterdam), [introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare Bj?rn W. Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Jonathon Shlens (Apple), [introductory/intermediate] An Introduction to Computer Vision and Convolution Neural Networks [virtual] Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Csaba Szepesv?ri (University of Alberta), [intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman's Curse of Dimensionality 1. Murat Tekalp (Ko? University), [intermediate/advanced] Deep Learning for Image/Video Restoration and Compression Alexandre Tkatchenko (University of Luxembourg), [introductory/intermediate] Machine Learning for Physics and Chemistry Li Xiong (Emory University), [introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning Ming Yuan (Columbia University), [intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 17, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. ORGANIZING COMMITTEE: Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Sat May 7 10:34:27 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Sat, 7 May 2022 10:34:27 -0400 Subject: Connectionists: [cfp] Call for ISWC'22 Doctoral Consortium Papers *Less than a week left* Message-ID: *CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ Call for Doctoral Consortium papers ***************************************** The ISWC 2022 Doctoral Consortium (DC) will take place virtually as part of the 21st International Semantic Web Conference. This forum will provide PhD students an opportunity to: - present and discuss their research ideas in a supportive, formative and yet critical environment; - receive feedback from mentors, typically senior members of the Semantic Web research community, and peers; - explore career pathways available after completing their PhD degree, and finally - network and build collaborations with other members of the community. The event is intended for students who have articulated a reasonably detailed research proposal, preferably supported by some preliminary results. The aim is to support the students in refining their proposal and suggest possible ways to improve their research plan and achieve results with prospective greater impact. While doctoral degrees can vary in format and conduct, we aim this Call for Papers to PhD candidates who will have already partially investigated some specific problems. Students will be required to submit a paper to the doctoral consortium, structured like a research proposal (see ?Submission Details? below). All proposals submitted to the Doctoral Consortium will undergo a rigorous review process by the International Programme Committee, who will provide detailed and constructive feedback and select those submissions to be presented at the Doctoral Consortium. If accepted, students will have to register and attend the event, which will include a range of interactive activities. Call for Doctoral Consortium Papers: https://iswc2022.semanticweb.org/index.php/doctoral-consortium/ Deadline: Friday, 13th May, 2022, 23:59 AoE (Anywhere on Earth) DC Chairs: - Olaf Hartig, Link?ping University, Sweden - Oshani Seneviratne, Rensselaer Polytechnic Institute, USA Contact: DoctoralConsortium-iswc2022 at easychair.org Follow us on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From gustau.camps at uv.es Fri May 6 12:47:20 2022 From: gustau.camps at uv.es (Gustau Camps-Valls) Date: Fri, 6 May 2022 18:47:20 +0200 Subject: Connectionists: Open positions in Valencia (Spain) - Deep learning and XAI for Earth Message-ID: Dear colleagues, We have several PhD/postdoc positions open at the ISP group in the University of Valencia (Spain), within 2 funded projects by the European Space Agency, and around cool topics on Deep Learning, XAI, remote sensing, extreme events, and super resolution. * Information and application form in http://isp.uv.es/openings * Before: Jun 15th * Do you want to talk? We will be attending @EuroGeosciences #egu22 & @ESA #LPS22 ! * Excellent collaborators: @Rsc4Earth @Reichstein_BGC @OATML_Oxford @alkalait -- ---------------------------------------------------------- Prof. Gustau Camps-Valls, IEEE Fellow, ELLIS Fellow Image Processing Laboratory (IPL) - Building E4 - Floor 4 Universitat de Val?ncia C/ Catedr?tico Jos? Beltr?n, 9 46980 Paterna (Val?ncia). Spain ? phone??? : +34 963 544 064 ? web????? : http://isp.uv.es ? e-mail?? : gustau.camps at uv.es ? twitter? : http://twitter.com/isp_uv_es ---------------------------------------------------------- --Shameless self-promotion----------------- ---------------------------------------------------------- ? g-scholar: https://bit.ly/2Z1jhti ? ML book? : https://bit.ly/2Ml19Qq ? DL book? : https://bit.ly/3n1W1DF ? ellis??? : https://ellis.eu/programs ? elise??? : https://www.elise-ai.eu/ ? i-aida?? : https://www.i-aida.org/ ? imiracli : http://imiracli.eu/ ? deepcube : https://deepcube-h2020.eu/ ? xaida??? : https://xaida.eu ? erc????? : https://www.usmile-erc.eu/ ---------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From nguyensmai at gmail.com Fri May 6 10:28:07 2022 From: nguyensmai at gmail.com (Nguyen, Sao Mai) Date: Fri, 6 May 2022 16:28:07 +0200 Subject: Connectionists: [Jobs] 24 months Post-doc/Engineer position in posture detection, machine learning, temporal sequence analysis In-Reply-To: References: Message-ID: Dear all, could you please share to anybody who might be interested in the following postdoc position ? --- ENSTA, IP Paris is looking to hire a talented post-doctoral researcher/engineer in human body movement analysis on a collborative project with Nexter Robotics on machine learning (deep learning, transfer learning), body pose detection, human activity recognition. The ideal candidate holds a PhD or master degree in computer science, machine learning and has led projects in deep learning, pose detection or human activity recognition, and has a good understanding of gesture/activity recognition and thermal cameras. This position is limited to applicants of EU citizenship. The appointment will be for 2 years. Position starting before 15 September 2022. Application before 15 May: please send your CV mentioning nationality, list of publications and letter of motivation at recrutement-en2022 at ensta.fr ---- References : Bouchabou, D., Nguyen, S. M., Lohr, C., LeDuc, B., and Kanellos, I. (2021). Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes. Electronics, 10(20). https://doi.org/10.3390/electronics10202498 Bouchabou, D., Nguyen, S. M., Lohr, C., LeDuc, B., and Kanellos, I. (2021). A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning. Sensors, 21(18)(6037). MDPI AG. ---- *FICHE DE POSTE* INTITULE DU POSTE *Ing?nieur/Post-doctorant en apprentissage automatique* Dur?e d?affectation souhait?e 2022 24 mois 2024 Titre du Projet Analyse de posture d?un agent humain Mots-cl?s *Robotique, suivi de personne, posture, intention* Description synth?tique et contexte L?estimation et l?analyse de la posture 3D d?une personne permettent de reconna?tre ses mouvements et actions, mais aussi d??tudier les interactions entre individus. C?est un domaine scientifique qui pose des d?fis quant aux variabilit?s de morphologies, de tenues vestimentaires, de mouvements et activit?s, ou encore d?environnement en terme d?occlusion ou de conditions d??clairage. Ces derni?res ann?es, des avanc?es significatives ont ?t? permises gr?ce ? l?apprentissage profond [1, 2, 6, 5, 4, 3]. Cependant, ces performances ont ?t? mesur?es dans des conditions contr?l?es, loin des conditions r?elles de civils dans leur vie quotidienne ou de celle de soldats en op?ration. En effet, la variabilit? des conditions et des gestes dans ces milieux non structur?s est grande et y complexifie l?analyse de mouvement. Alors que les m?thodes pr?-cit?es ont ?t? d?velopp?es pour des images RGB, les algorithmes d?apprentissage profond ont tr?s peu ?t? utilis?s pour les images thermiques. Or, les cam?ras thermiques connaissent un regain d?int?r?t car elles permettent une estimation des temp?ratures des personnes et sont donc plus robuste aux variations vestimentaires des cibles ou d??clairage de l?environnement, tout en ?tant per?ues comme moins invasives pour la vie priv?e des personnes puisqu?elles ne permettent pas d?en distinguer les traits. Objectifs scientifiques recherch?s Dans l?objectif global de suivi des soldats, deux sujets seront particuli?rement travaill?s pour ce projet. - Le premier sujet concerne la d?tection de personnel en tenue de camouflage pour la r?alisation de fonctions de suivi par des robots ? mules ? par utilisation d?imagerie thermique et la cr?ation de base de donn?es de postures et gestes sp?cifiques aux fantassins. Il s?agit d?exploiter une base de donn?es recueillies par l?Ensta et de l??largir ? plus de contextes. Du point de vue algorithmique, il s?agit de faire du transfert de mod?le pour adapter les algorithmes et les mod?les pour les images RGB aux images thermiques. - Dans un deuxi?me temps, l?analyse des gestes et des postures r?alis?s par les soldats sera analys? ? travers une reconnaissance d?action pour en d?duire des comportements de s?curit? ? appliquer aux robots suiveurs en fonction de la mission de la plateforme et de la situation. Description des activit?s principales R?le dans la r?alisation du Projet Le candidat exploitera une base de donn?es multimodales pr?-enregistr?es d?activit?s de la vie quotidienne, et mettra en ?uvre des algorithmes de d?tection de posture et de transfer learning pour d?tecter les postures et reconna?tre les activit?s effectu?es. Il proposera ainsi un nouvel algorithme et un nouveau mod?le de d?tection de posture pour l?imagerie thermique. Le candidat m?nera ensuite une campagne de capture de donn?es pour ?largir la base ? plus de contextes. Dans un deuxi?me temps, il augmentera son mod?le de d?tection de posture avec un algorithme de reconnaissance d?action pour reconna?tre les gestes humains et leurs activit?s. Il montrera la pertinence de la reconnaissance de gestes et d?activit?s en l?illustrant sur un cas d??tude en impl?mentant un comportement de robot suiveur s?adaptant au comportement de l?humain. Connaissances ou aptitudes pour occuper le poste Connaissances : Apprentissage automatique (deep learning, transfer learning), d?tection de postures, analyse de s?quence temporelle, robotique Aptitude scientifique: Exploiter des donn?es enregistr?es pour constituer des bases de donn?es exploitables par les algorithmes d?apprentissage automatique Profil et/ou exp?rience souhait?e *Candidat dipl?m? d?un doctorat en informatique ou apprentissage automatique ayant r?alis? des travaux en lien avec le deep learning et/ou la d?tection de posture ou la reconnaissance automatique d?activit?s humaines. *Bonne compr?hension des enjeux li?s ? la reconnaissance automatique d?activit?s et.ou des cameras thermiques. *Nationalit? europ?enne requise* D?but du post-doc avant le 15 septembre 2022 Localisations Entreprise : Nexter Robotics, 14 route de la Mini?re, 78034 Versailles Cedex Etablissement public : ENSTA Paris, 828 boulevard des Mar?chaux, 91762 PALAISEAU Contacts Pour candidater, envoyez votre CV en pr?cisant la nationalit?, liste de publications et lettre de motivation ? recrutement-en2022 at ensta.fr R?f?rences bibliographiques du Projet [0] Bouchabou, D., Nguyen, S. M., Lohr, C., LeDuc, B., and Kanellos, I. (2021). Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes. Electronics, 10(20). https://doi.org/10.3390/electronics10202498 [1] Bertoni, Lorenzo, et al. "Monoloco : Monocular 3d pedestrian localization and uncertainty estimation." Proceedings of the IEEE International Conference on Computer Vision. 2019. [2] Benzine, Abdallah, et al. (2020). PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6856-6865). [3] Chen, Ching-Hang, and Deva Ramanan. "3d human pose estimation 2d pose estimation matching." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017. [4] Zhao,Zelin,etal."Estimating 6d pose from localizing designated surface keypoints." arXivpreprintarXiv:1812.01387(2018). [5] Iskakov,Karim,etal."Learnable triangulation of human pose."Proceedings of the IEEE International Conference on Computer Vision.2019. [6] Nibali, Aiden, et al. "3d human pose estimation with 2d marginal heatmaps." 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019. *Sao Mai NGUYEN* Enseignante chercheuse T?l?phone : 01 81 87 20 32 http://nguyensmai.free.fr | Youtube | Twitter | ResearchGate | Hal https://doi.org/10.1155/2022/5667223 ------------------------------ *ENSTA Paris | Institut Polytechnique de Paris* 828 boulevard des Mar?chaux 91120 Palaiseau [plan ] www.ensta-paris.fr | LinkedIn | Twitter | Facebook | Instagram [image: raison-d-etre-ensta-paris] ------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Sat May 7 16:04:26 2022 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Sat, 7 May 2022 22:04:26 +0200 Subject: Connectionists: Deadline Extension - Nencki School of Ideas in Neuroscience Message-ID: Dear Colleagues, We would like to inform you that we have extended the deadline for the registration to Nencki School of Ideas in Neuroscience until May 10th! We believe that theoretical thinking and idea development is a skill ? a skill that can be trained and developed. Our school will aim at teaching how to develop theoretical thinking, how to create ideas, and put their research in a broader context. We want you to learn how to make sense of data. Our guests are Eve Marder, Luiz Pessoa, Jacqueline Gottlieb, Yukie Nagai, Gregory Kohn, Paul Cisek, Joel Z Leibo, Romain Brette, Jacqueline Sullivan, Adrien Doerig, Nicole Nelson, Marcin Mi?kowski, Liad Mudrik, Wiktor M?ynarski and Mel Andrews. Please find more info and the registration form here - https://nenckiopenlab.org/school-of-ideas/ See you in Warsaw! Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: FB_IMG_1651832280006.jpg Type: image/jpeg Size: 180279 bytes Desc: not available URL: From stefan.kiebel at tu-dresden.de Sun May 8 11:15:01 2022 From: stefan.kiebel at tu-dresden.de (Kiebel, Stefan) Date: Sun, 8 May 2022 15:15:01 +0000 Subject: Connectionists: Tenured full university professor position in cognitive computational neuroscience Message-ID: Tenured full university professor (W3) position in cognitive computational neuroscience at Technische Universit?t Dresden/Germany Key terms that fit the desired profile: Probabilistic inference, Reinforcement learning, Active inference, Context, Decision making, Hierarchical models Deadline soon: May 20 -- TU Dresden is among the top universities in Germany and Europe and one of the eleven German universities with the status of a 'University of Excellence'. As part of its strategic development, TU Dresden seeks to form strong, interdisciplinary links by extending computational science approaches across various disciplines. https://tu-dresden.de/ing/informatik/die-fakultaet/Stellenangebote/interessensbekundung-fuer-synergy-of-systems-synosys-professuren?set_language=en https://jobs.zeit.de/jobs/three-3-chairs-w3-in-the-broad-area-of-interdisciplinary-digital-science-for-healthy-human-development-technische-universitaet-dresden-dresden-1059058 -- Prof. Dr. rer.nat. Stefan J. Kiebel Chair of Neuroimaging Faculty of Psychology Technische Universit?t Dresden https://tu-dresden.de/mn/psychologie/ifap/ni -------------- next part -------------- An HTML attachment was scrubbed... URL: From marius.pedersen at ntnu.no Mon May 9 02:55:14 2022 From: marius.pedersen at ntnu.no (Marius Pedersen) Date: Mon, 9 May 2022 06:55:14 +0000 Subject: Connectionists: PhD Candidate in Interactive Visualization of Spectral Images in a Museum Setting, NTNU, Norway Message-ID: We have a vacancy for a PhD candidate in "Interactive visualization of spectral images in a museum setting" at the Department of Computer Science, NTNU, in Gj?vik, Norway. The appointment has a duration of 4 years with 25% teaching duties in agreement with the department. Hyperspectral imaging (HSI) is a technology that was initially developed for earth observation, but recently has been exploited for various fields, including art and conservation. Despite being a complex technology, HSI has clear advantages in science communication. It generates images, thus providing readily available visual materials. Furthermore, HSI images cover information human eyes simply cannot see, which means a great potential for creating an engaging and interactive visualization. The target of visualization application is a museum setting. This is a unique project aiming to advance the scientific communication of spectral imaging research by incorporating graphic design principles, and with a team of supervisors from complementary expertise, i.e., spectral imaging, interaction design, and conservation science. The PhD candidate will focus on developing an interactive visualization for spectral images for stakeholders in a museum setting, for example conservators or museum visitors. Graphic design principles will be adopted in the creation of the visualization, facilitated by experts from the Department of Design, NTNU. As part of the creation of the visualization, research in relevant spectral imaging topic for art and conservation will be conducted, and to be identified based on the area of visualization application. Deadline: 15th May 2022 Application portal: https://www.jobbnorge.no/en/available-jobs/job/225341/phd-candidate-in-interactive-visualization-of-spectral-images-in-a-museum-setting Best regards Marius Pedersen Professor NTNU -------------- next part -------------- An HTML attachment was scrubbed... URL: From emmanuel.vincent at inria.fr Mon May 9 03:45:25 2022 From: emmanuel.vincent at inria.fr (Emmanuel Vincent) Date: Mon, 9 May 2022 09:45:25 +0200 Subject: Connectionists: Second Inria-DFKI European Summer School on AI - Register by May 23 Message-ID: Dear list, Many seats are still available for the Sustainable AI track, which focuses on measuring the environmental impact of AI and developing resource-efficient AI technologies. This is a central topic in the European AI strategy, and for the future of our planet. There are also a few seats left for the Trusted AI track. We're looking forward to your registration (deadline extended to May 23). ******************************************************************* *Second Inria-DFKI European Summer School on AI (IDESSAI 2022)*** *Trusted AI*and*Sustainable AI* *? ? Saarbr?cken, Germany* *August 29 - September 2, 2022* *https://idessai.eu/* *?? ? ? ? ? Extended registration deadline: May 23, 2022* ******************************************************************* IDESSAI 2022 is the second yearly Summer School organized by the two renowned German and French AI institutes, DFKI and Inria. It stands out from the crowd of offerings for AI students in several aspects: * We ensure a good balance in the number of participants and instructors: participants will have the opportunity to join a community of like-minded people and, at the same time, they will be in close contact with the experts. * Our program features a line-up of courses focused on two themes, Trusted AI and Sustainable AI, which are at the forefront of socio-economic issues related to AI. * On top of the latest methodological advances and the shared vision of the future that both organizing institutes have to offer, IDESSAI 2022 will be practically oriented. We will achieve this through hands-on courses and the involvement of industry practitioners and innovators. * Participants will be offered to the opportunity to present their work to each other in dedicated poster/demo sessions. Trusted AI and AI Sustainable AI will take place in two parallel tracks. There will be plenty of opportunities to exchange between these two tracks at coffee breaks, meals and social events, as well as through joint cross-track sessions. *TARGETED AUDIENCE* IDESSAI 2022 was designed for PhD students in all areas of AI, including machine learning, knowledge representation and reasoning, search and optimisation, planning and scheduling, multi-agent systems, natural language processing, robotics, computer vision, and other areas. PhD students in other fields, MSc students, postdocs, and researchers in academia and industry are also welcome. *VENUE* IDESSAI 2022 is planned as a fully in-person event, which will take place at the University of Saarland. Remote attendance will not be possible. Participants will comply with the health and social distancing rules in force at the time of the event. *CONFIRMED SPEAKERS*** *Cross-track * * Sophie Quinton (Inria) - A holistic perspective on IT sustainability * Titouan Vayer (ENS Lyon) - Less is more? How compressive learning and sketching for large-scale machine works *Trusted AI Track:* * Martin Georg Fr?nzle (University of Oldenburg) - AI components for high integrity, safety-critical cyber-physical systems: chances and risks * Andr? Meyer-Vitali (DFKI) - Trustworthy hybrid team decision support * Caterina Urban (Inria) - Formal methods for machine learning * Freddy Lecue (Thales & Inria) - Explainable AI: a focus on machine learning and knowledge graph-based approaches * Michael Luck (King's College London) - Artificial Intelligence: Towards safety and trust * Oana Goga (CNRS - LIG) - Security and privacy issues with social computing and online advertising *Sustainable AI Track:* * Silviu-Ioan Filip (Inria) - Tools for DNN quantization * Olivier Sentieys (Inria) - Hardware accelerators for DNNs * Christoph L?th (DFKI Bremen) - An introduction to the RISC-V ISA * Richard Membarth (DFKI Saarbr?cken & TH Ingolstadt) - Code optimization via specialization * Anne-Laure Ligozat (ENSIIE) - Carbon footprint of AI * Danilo Carastan dos Santos (Inria) - Measuring the energy consumption of AI * Daniel Beutel (Adap) - An Introduction to federated learning with Flower * **FEES AND REGISTRATION* Our fees are all-inclusive. Please keep in mind that an accomodation has to be organised on your own. For more details and to register, see https://idessai.eu/registration-2022/ (*extended deadline: May 23, 2022*). To ensure a good balance in the number of participants and instructors and maximize the chances of interaction, the number of attendees is limited to 50 per track. Applicants will be selected on the grounds of diversity and benefit gained from attending the selected track. *ORGANIZERS* Co-organized by: Inria, DFKI Contact us: idessai-support at dfki.de. -------------- next part -------------- An HTML attachment was scrubbed... URL: From maroua.mehri at gmail.com Mon May 9 06:57:29 2022 From: maroua.mehri at gmail.com (Maroua MEHRI) Date: Mon, 9 May 2022 12:57:29 +0200 Subject: Connectionists: Call for ICFHR 2022 Competitions Message-ID: **Our apologies for multiple receptions** =============================================== ================================= Call for ICFHR 2022 Competitions http://icfhr2022.org/call-for-com.php =============================================== ================================= The ICFHR2022 organizing committee invites proposals for competitions that aim at evaluating the performance of algorithms and methods related to the field of handwriting recognition. You are cordially invited to submit a proposal that should contain the following information: - A brief description of the competition, including what the particular task under evaluation is and why this competition is of interest to the ICFHR community. - A draft of the outline of the competition describing the competition schedule, the expected number of participants and its rationale, which data is planned to be used, how the submitted methods will be evaluated, and which performance evaluation measures will be used. - The names, contact information, and brief CVs of the competition organizers, outlining previous experience in performance evaluation and/or organizing competitions. - The competition may be related to (but not limited to) the following areas: - Few-shot/zero-shot handwritten manuscript layout analysis/text recognition - Open set/open-world handwritten manuscript layout analysis/text recognition - Multilingual handwritten manuscript layout analysis/text recognition - Small size models for handwritten manuscript layout analysis/text recognition - Domain adaptation from printed to handwritten manuscript transcription - Transfer learning in handwritten manuscripts from one language to another - Degraded/low-quality handwritten manuscripts text recognition - Manuscript classification - Handwritten document image binarization - Historical scientific manuscript recognition - Image retrieval and text spotting for historical handwritten manuscripts - Detection, recognition and/or spotting of handwritten mathematical formula - Handwriting style analysis - Multi-script writer identification and retrieval - Online signature recognition and verification The following rules shall apply to the accepted competitions: - Name of the competition must be standardized by starting with ?ICFHR2022? (e.g. ?ICFHR2022 Competition on ?? or ?ICFHR2022 ? Competition.?). - Datasets used in the competitions must be made available through the TC10/TC11, online resources website after the end of the competitions (or equivalent arrangement by approval of the competition chairs). - Evaluation methodologies and metrics used must be described in detail so that results can be replicated later. - Participants should be encouraged to share their algorithms and code using one of the open-source licenses. - Competitions must have a sufficient number of participants (about 5, depending on the originality of the topic) to be able to draw meaningful conclusions. - Reports (full papers) on each competition will be reviewed and, if accepted (the competition runs according to plan and is appropriately described), will be published in the ICFHR2022 conference proceedings. - Competition results will be announced during a dedicated session of the ICFHR2022 conference. - Each competition has to be presented with a poster at a prominent place at the conference venue, selected competitions will get the chance to be presented orally in the dedicated session mentioned above. - Based on the analysis of the received proposals, the competition chairs will first synchronize with the competition organizers, and then submit a proposal to the program committee, in order to finalize the organization of the competitions. Submission Guidelines All proposals should be submitted by electronic mail to the competition chairs (Rohit Saluja and Maroua Mehri) via: rohit.saluja at research.iiit.ac.in maroua.mehri at gmail.com Important Dates - Proposal due: June 05, 2022 - Acceptance notification: June 12, 2022 - Suggested deadline for competition participants: July 17, 2022 - Initial submission of competition reports deadline: September 18, 2022 - Camera-ready papers due: September 25, 2022 Inquiries For any inquiries you may have regarding the competitions, please contact the ICFHR2022 competition Chairs (Rohit Saluja and Maroua Mehri) via: rohit.saluja at research.iiit.ac.in maroua.mehri at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From tserra at gmail.com Mon May 9 10:00:12 2022 From: tserra at gmail.com (Thiago Serra) Date: Mon, 9 May 2022 10:00:12 -0400 Subject: Connectionists: CPAIOR 2022: Call for Student Scholarships, the Mentorship Program, and Conference Registration Message-ID: Dear colleagues, I would like to emphasize the unique opportunity this year for students to have their costs to attend CPAIOR partially covered. In addition, students and postdocs are welcome to apply for the first edition of our mentorship program with senior members of our community. We are grateful for our generous sponsors for making it possible, and looking forward to seeing you in LA! International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR) Conference Dates: June 20-23, 2022 Conference Location: University of Southern California, Los Angeles, California, USA Early Registration Deadline: May 20, 2022 Registration Site: https://sites.google.com/usc.edu/cpaior-2022/registration-and-hotels CPAIOR-22 is a conference that brings together researchers from Constraint Programming (CP), Artificial Intelligence (AI), and Operations Research (OR) to showcase how the integration of techniques from these fields advances the state-of-the-art in terms of techniques and challenging applications. Scholarships are available for students. CPAIOR-22 starts with a one-day Master class on June 20 on the theme ?Bridging the Gap between Machine Learning and Optimization,? where experts from universities and companies provide overviews of research in the field in tutorial-style lectures. The Master class is ideally suited for students and participants from academia and industry who want to familiarize themselves with the state-of-the-art in this exciting and quickly evolving area. The speakers are - Brandon Amos (Facebook AI Research, USA) - Priya Donti (Carnegie Mellon University, USA) - Paul Grigas (University of California at Berkeley, USA) - Tias Guns (Katholieke Universiteit Leuven, Belgium) - Bryan Wilder (Carnegie Mellon University and Harvard University, USA) - Angela Zhou (UC Berkeley and University of Southern California, USA) CPAIOR-22 continues with the presentations of the accepted papers and posters on June 21-23, supplemented by a social program (that includes an opening reception and a banquet) and three talks by invited speakers, namely - Andre Cire (University of Toronto, Canada) - Carla Gomes (Cornell University, USA) - Vinod Nair (DeepMind, UK) CPAIOR-22 is held on the smoke-free campus of the University of Southern California (USC), which is located next to Exposition Park, one of the major cultural centers of Los Angeles with several museums where one can, for example, experience the Space Shuttle Endeavour up close. USC is also just minutes away by public transportation from the center of Los Angeles with all its attractions. *For interested students, scholarships are available to cover part of the CPAIOR registration fee, travel costs, and accommodation costs, whether they just want to attend the Master class and/or conference or will present their research, including for students from underrepresented groups in computing and optimization, from small universities, and from countries with limited study or research opportunities. A limited number of dormitory rooms are available for CPAIOR-22 attendees on the USC campus, including shared and individual rooms, with preference given to students. * Attendees are strongly encouraged to attend in person to facilitate the exchange of ideas and social interactions. However, CPAIOR-22 also offers a virtual attendance option. It is expected that papers and posters will be presented in person. To register for CPAIOR-22 (and, for students, apply for a scholarship and the mentorship program), please visit https://sites.google.com/usc.edu/cpaior-2022/registration-and-hotels The early registration deadline is May 20, 2022, but registrations are accepted until the start of CPAIOR-22. To find out more about the COVID situation and safety protocols at USC and in Los Angeles, please visit https://coronavirus.usc.edu/ http://www.publichealth.lacounty.gov/media/Coronavirus/data/index.htm CPAIOR-22 thanks Gurobi, Google, Nextmv, Kinaxis, The Optimization Firm, Lindo Systems, Cosling, the Artificial Intelligence journal, the USC Epstein Department of Industrial & Systems Engineering, the Epstein Institute at USC, and the USC-Meta Center for Research and Education in AI and Learning for their sponsorship. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ruben.coen-cagli at einsteinmed.edu Mon May 9 14:40:39 2022 From: ruben.coen-cagli at einsteinmed.edu (Ruben Coen-Cagli) Date: Mon, 9 May 2022 18:40:39 +0000 Subject: Connectionists: Postdoc on sensory processing in autism at Albert Einstein College of Medicine, NY Message-ID: The Laboratory for Computational Neuroscience (Coen-Cagli lab) invites applications for a postdoctoral position at Albert Einstein College of Medicine (Einstein) in the Bronx, New York City. The position is available immediately, it is funded for two years through a NIH training grant to the Rose F. Kennedy IDDRC at Einstein, and targets eligible candidates interested in careers in the biomedical sciences focused on the neurobiological underpinnings of neurodevelopmental disorders associated with intellectual disability and autism. The candidate will have the opportunity learn and apply innovative experiments and computational modeling of perceptual grouping and segmentation developed by the Coen-Cagli lab, to test theories of sensory processing in autism, in collaboration with the Cognitive Neurophysiology Laboratory (Molholm lab) at Einstein. Eligible candidates must be U.S. citizens or permanent residents (green card holders) and have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research. Successful candidates will be highly motivated toward IDD research coupled with excellent training in the neurosciences/biomedical research. Candidates should have substantial experience in psychophysics and excellent programming skills. Prior experience with computational neuroscience, machine learning, statistics, computer vision, or EEG recordings is also preferred. Candidates will provide their current CV, 3 letters of recommendation and a personal statement (3-page maximum length) outlining their previous training, qualifications and proposed areas of research interest to the IDDRC administrator, Lisa.Guillory at einsteinmed.edu. Candidates are also encouraged to reach out to ruben.coencagli at gmail.com as part of their application process. The Coen-Cagli lab studies how biological sensory systems interpret the surrounding environment. We study how populations of visual-cortical neurons represent and transmit visual information, and how those processes control perception. We combine theories of probabilistic neural coding, machine learning and natural image statistics, psychophysics, and neurophysiology through collaborations. Most recent publications include: (2022) J. Vacher et al. Neural Networks 149:107-123 (preprint) (2021) S. Sokoloski et al. eLife 10:e64615 (2021) D. Festa et al. Nature Communications 12:3635 (preprint) (2021) D. Herrera et al. Journal of Vision 21(1):1 (2021) D. Herrera et al. Vision Research 187:55-65 (preprint) (2020) J. Vacher et al. NeurIPS 2020 spotlight. The Rose F. Kennedy IDDRC was established more than 50 years ago as one of a dozen flagship research centers founded during the John F. Kennedy administration, and is known for its strong foundations in basic and translational neuroscience, and for its multidisciplinary cross-departmental membership. In addition to its many research laboratories and clinics, the IDDRC maintains four outstanding scientific core facilities ? these consisting of a Human Clinical Phenotyping (HCP) core, a Neurogenomics (NGEN) core, a Neural Cell Engineering and Imaging (NCEI) core and an Animal Phenotyping (AP) core. Einstein offers a vibrant interdisciplinary environment, with a strong systems and computational contingent. It is located in a quiet neighborhood of the Bronx, New York. The Bronx is one of the most diverse counties in the United States, the birthplace of hip-hop, and home to a rich cultural and sports scene. Einstein is also a short subway ride from Manhattan. Information about working at the Einstein, including benefits and housing for postdocs, can be found at: https://einsteinmed.edu/research/belfer-institute/. Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. The lab strives to be an open, inclusive, harassment-free environment. Ruben is an ally of Black In AI and a member of Einstein's Diversity, Equity and Inclusion committee. Ruben Coen Cagli, PhD Associate Professor Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From atp at csail.mit.edu Mon May 9 15:40:52 2022 From: atp at csail.mit.edu (Alejandro Perez) Date: Mon, 9 May 2022 15:40:52 -0400 Subject: Connectionists: Work on Bipedal Robots Remotely at Agility Robotics Message-ID: Opportunity: > Agility Robotics, a creator and manufacturer of robots designed to work alongside people in logistics and warehouse environments, recently announced that it has raised $150 million led by DCVC and Playground Global. The Amazon Industrial Innovation Fund also joined as an investor to help spur innovation in the logistics industry. Agility?s robots provide unique value to businesses by augmenting the human workforce?s productivity, efficiency, and wellness. This capital raise will accelerate Agility?s R&D and scale its robot production. Agility?s Series B round includes participation from previous investors MFV Partners, ITIC, Robotics Hub, Safar Partners, Sony Innovation Fund, and TDK Ventures. The fresh capital will allow Agility to continue expanding its operations and hiring in the U.S. The company has opened a new office in Pittsburgh, PA in addition to expanding its primary Oregon facilities and Palo Alto operations. Agility plans to double its headcount by 2024 and is actively recruiting top robotics talent spanning software and hardware. See the robots: https://agilityrobotics.com/robots https://www.youtube.com/watch?v=X60QIWGkHUM&t=193s https://www.youtube.com/watch?v=Jycdks836bY&t=25s https://www.youtube.com/watch?v=qV-92Bq96Co https://www.youtube.com/watch?v=OEXVGwEfq_E https://www.youtube.com/c/AgilityRobotics/videos Roles Available: Software Engineer State Estimation Senior Software Engineer Localization and Mapping Senior Software Engineer Perception Sensors Perception Engineer Object Detection and Tracking Software Engineer Locomotion Software Engineer Task and Motion Planning Software Engineer Planning and Controls More at: https://agilityrobotics.com/careers Compensation: Employees will receive competitive salary and equity More information: https://agilityrobotics.com/news Contact: Alejandro Perez Task and Motion Planning Lead alejandro.perez at agilityrobotics.com atp at csail.mit.edu Apply: If you're interested in applying or learning more please contact alejandro.perez at agilityrobotics.com with your CV. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefanos at cs.ntua.gr Mon May 9 19:08:37 2022 From: stefanos at cs.ntua.gr (stefanos) Date: Tue, 10 May 2022 02:08:37 +0300 Subject: Connectionists: (CfP) 2nd COV19D Competition (in ECCV 2022 AIMIA Workshop) Message-ID: <99d9ce01e0d189dba6355f95c52acc92@cs.ntua.gr> 2nd COV19D Competition in ECCV 2022 The 2nd COV19D Competition [1] will be held in the framework of the AI-enabled Medical Image Analysis - Digital Pathology & Radiology/COVID19 (AIMIA) Workshop [2], in conjunction with the European Conference on Computer Vision (ECCV) 2022 in Tel-Aviv, Israel, October 23-27, 2022. The _2nd COV19D Competition_ follows the 1st Competition held in the framework of the MIA-COV19D Workshop in ICCV 2021. It includes two Challenges: i) COVID19 Detection Challenge and ii) COVID19 Severity Detection Challenge. The 1st Challenge refers to COVID19 and non-COVID19 classification. The 2nd Challenge refers to classification of COVID-19 severity into four categories, i.e., mild, moderate, severe and critical. Both Challenges are based on an extended version of the database used in the 1st COV19D Competition, including chest CT scan series. The database includes 1,650 COVID and 6,100 non-COVID chest CT scan series. Each chest CT scan series consists of a sequence of 2-D CT slices, the number of which is between 50 and 700. There will be one winning team per Challenge. For more details please visit the competition page here [1]. For any requests or enquiries, please contact: stefanos at cs.ntua.gr Organizers: _Stefanos Kollias_, National Technical University of Athens _Xujiong Ye_, University of Lincoln _Luc Bidaut,_ University of Lincoln _Francesco Rundo,_ STMicroelectronics ADG--Central R&D _Dimitrios Kollias,_ Queen Mary University London _Giuseppe Banna,_ Portsmouth Hospitals Univ. NHS Trust Important Dates: The timeline for the competitions will be as follows: May 9, 2022: Opening of the Competition; start of registration of research groups; provision of training and validation datasets June 30, 2022: Submission of results July 1, 2022: Winners announcement July 8, 2022: Paper submission August 5, 2022: End of review period - review decisions sent to authors; notifications of acceptance August 12, 2022: Camera ready version All accepted papers will be part of ECCV 2022 Conference Proceedings. For registration and further information, please contact d.kollias at qmul.ac.uk Links: ------ [1] https://mlearn.blogs.lincoln.ac.uk/eccv-2022-ai-mia/ [2] http://vcmi.inesctec.pt/aimia_eccv -------------- next part -------------- An HTML attachment was scrubbed... URL: From arthur.vancamp at bristol.ac.uk Mon May 9 23:33:43 2022 From: arthur.vancamp at bristol.ac.uk (Arthur Van Camp) Date: Tue, 10 May 2022 03:33:43 +0000 Subject: Connectionists: (Deadline 15 May) Tenth SIPTA School on Imprecise Probabilities Message-ID: <65ac0c5b-0cd1-494c-8ac3-55043140967b@Spark> (Deadline 15 May) Tenth SIPTA School on Imprecise Probabilities This is just a reminder that the deadline for registration is 15 May (Sunday). More details and registration information can be found below. https://ep-imp.gitlab.io/sipta-summer-school-2022/ Tenth SIPTA School The tenth SIPTA School will take place in Bristol, UK, from 15 to 19 of August 2022. It will introduce the main theoretical aspects of imprecise probability models, decision making using such models, statistics in imprecise probability theory, the use and applications of imprecise probabilities in artificial intelligence, and evaluating imprecise forecasts. Leading experts in these topics will lecture on the main concepts and techniques associated with their area of expertise, in a friendly environment favouring interaction between participants. Tentative schedule: * Monday, 15 August, first session (1 hour): "Why imprecise probabilities? by Ben Levinstein * Monday, 15 August, second session (all day except first hour): ?Introduction to imprecise probabilities? by Gert de Cooman * Tuesday, 16 August (all day): ?Decision making? by Teddy Seidenfeld * Wednesday, 17 August (morning): ?Statistics and imprecise probabilities? by Thomas Augustin * Wednesday, 17 August (afternoon): excursion * Thursday, 18 August (all day): ?Imprecise probabilities in artificial intelligence? by Alessandro Antonucci, Cassio de Campos and Fabio Cozman * Friday, 19 August (all day): ?Accuracy for imprecise probabilities? by Jason Konek and Ben Levinstein Scholarship/Bursaries If you are a student who would like to attend but would find the cost to be a hardship, we would like to help. In addition to waiving the fee for registration, we may be able to defray travel expenses. When filling out the registration form, please take care to: (1) indicate that you are a student, and (2) check the box expressing interest in being considered. Participation and registration We have a limited number of seats remaining for in-person attendance (~25), but virtually unlimited virtual capacity. The fee for virtual registration will be ?25. We have two options for in-person attendance: Room and Board (?250) and Lunch Only (?25). * attending virtually: ?25 * attending in-person Room and Board: ?250 * attending in-person Lunch Only: ?25 To register, please fill out this registration form by 15 May 2022. You will need a small statement explaining your research interests (in text format) and a short CV (as a pdf or document file). Accommodation and meals For in-person participants, we have two registration options: Room and Board: the fee is ?250. This includes student accommodation at Goldney Hall for the nights of 14 ? 19 August (i.e., ending the morning of the 20th). Breakfast will be included (at Goldney Hall), and we will also cater lunch every day of the summer school. Lunch Only: the fee is ?25. This option includes the same daily catered lunches as the Room and Board option, but no accommodation or breakfast. Note on Accommodation at Goldney Hall: Not all of the available rooms have an en suite bathroom; some rooms will share a communal bathroom. If you need a private bathroom, please indicate this on the form and give a brief explanation of why. We will do our best to assign rooms to accommodate everyone who has a compelling need. Important dates The registration via this form closes 15 May 2022. The registration fee should be paid before 1 June 2022. We will send out payment instructions to registered participants in due course. We are looking forward to a great summer school! Kind regards, Jason Konek, chair Fabio Cozman, external advisor Kevin Blackwell Catrin Campbell-Moore Giacomo Molinari Richard Pettigrew Arthur Van Camp -------------- next part -------------- An HTML attachment was scrubbed... URL: From tiako at ieee.org Mon May 9 15:58:46 2022 From: tiako at ieee.org (Pierre F. Tiako) Date: Mon, 9 May 2022 14:58:46 -0500 Subject: Connectionists: CFP: 2022 OkIP Intl Conf on eLearning and Technology in Education, Oct 3-6, Oklahoma City, OK, USA Message-ID: 2022 OkIP International Conference on eLearning and Technology in Education (CETE) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 OkIP Published & SCOPUS/WoS Indexed https://eventutor.com/e/CETE002 Submission Deadline: July 11, 2022 Co-Located Conferences https://eventutor.com/event/17/page/41-conferences CETE aims to bring together scholars from different disciplinary backgrounds to emphasize disseminating ongoing research and development in the field. Proposals are solicited describing original works in the fields below and related technologies. CETE will include a peer-reviewed program of technical, industrial, and poster sessions. Accepted and presented full papers from the tracks below will be published in the conference proceedings and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of the best papers will be considered for journal publication. >> eLearning Concepts - eLearning | Knowledge Sharing | eTraining - Learning Communities | Blended Learning - eLearning Strategies | Microlearning - Digital Transformation in Education - Learning Portfolios | eStorytelling - Authoring | Reviewing | Editing | Publishing - Academic Achievement | Digital Divide - eLearning Assessment/Evaluation Model - Internet of Things (IoT) and eLearning - Innovation Ecosystem | GroupewareTools - Program/Institution Accreditation - Knowledge Presentation/Mastery/Sharing - On-demand and Just-in-Time Learning - Learner-Centered | Self-Directed Learning - Admission/Enrollment Process and Innovations >> AI in eLearning - AI Support in Learning | Learning Bots - Gamification | Game-based Learning - Augmented and Virtual Reality - Simulations for Learning | Ubiquitous Learning - Contextualized Teaching and Learning - Collaborative Knowledge Building Activities - Learner Identification/Authentication - Plagiarism Detection Tools - Educational Constructivism | Smart Classroom - Eye-Tracking in Education | Learning Analytics - Biometric | Smart Learning Systems - Big Data, Neural/Sensor Network in Education - Chatbots/Deep Learning in Education - Computational Thinking | Intelligent Tutoring - Learning Behavior Analysis >> Learning Support Services - Learner Preparation | Creativity Development - Modeling Learner Performance - Feedback/Inputs Consideration | ICT Skills - Internet Addiction | Public Speaking Skills - Career | Academic Achievement Measures - Learner Dropout Prediction and Rate Reduction - Reading and Writing Improvement/Assessments - eTutoring | eMentoring | eCoaching |ePlacement >> Content and Delivery Methods - Educational Content Analysis/Quality - Learning/Teaching Communication Skills - Curriculum Revitalization and Digitalization - Critical/Practical Thinking | Testing Methods - Cooperative Education | Mixed Teaching Mode - Experimental Teaching | Exams/Benchmarking - Problem-Solving Skills | Maker Education - STEM Innovation | Resources Sharing - Live/Virtual Classroom/Course Management - International/Interdisciplinary Programs - Flipped Classroom Strategies | Open Content - Innovative Educational Approaches >> Delivery Platforms and Tools - Open-Source Platform | Virtual Learning Tools - Educational/Testing Software or Platform - Flexible/Personalized Learning Environments - Network Virtualization Tools in Education - Internship Management Platform - Language Learning/Scoring System - Adaptive/Personalized Teaching Systems - ePublishing | Survey Tools | mLearning Tools - Learning Management Systems >> Cases, Education/Administration - Case, Scenario, Project-Based Learning - Teacher Qualification and Competency - Teacher Education | Teaching Practice - Education, Research, and Globalization - Education Leadership and Administration - General Public/Intercultural Education - Education Challenges | Vocational Training - Impairment and Disability in Education - Disadvantaged Learners | University Portals - Continuing Education Challenges - Teaching Management/ Quality Monitoring - Teaching/Learning from Home Challenges - Plagiarism and Intellectual Property Rights - Lifelong, Informal/Nontraditional Learning - eLearning Regulation and Legislation - Employability Trends and Challenges >> Facilities and Equipment - Web-based Laboratory | Digital Library - Modeling and Simulation Virtual Labs - Dynamics/Interaction of Virtual Learners - In-house Computing Systems and Laboratories >> Contribution Types (One-Column IEEE Format Style): OkIP Published & SCOPUS/WoS Indexed - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) >> Important Dates: - Submission Deadline: July 11, 2022 - Notification Due: August 01, 2022 - Camera-ready Due: August 22, 2022 >> Technical Program Committee https://eventutor.com/event/23/page/64-committee Please feel free to contact us for any inquiry at: info at okipublishing.com -------- Pierre Tiako General Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincentthunder2011 at gmail.com Tue May 10 04:07:29 2022 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Tue, 10 May 2022 16:07:29 +0800 Subject: Connectionists: [Last call] IEEE GLOBECOM22 - Social Networks Message-ID: [image: GC2022-SAC-Social Networks.jpg] IEEE Global Communications Conference (Globecom 2022) 4?8 December 2022 Rio de Janeiro, Brazil Selected Areas in Communications?Social Networks Symposium Co-Chairs Neeli R. Prasad, TrustedMobi ?VehicleAvatar Inc.?, USA, neeli.prasad at vehicleavatar.com Scope and Motivation Recently, social network research has advanced rapidly with the prevalence of online social applications and mobile social communications systems. Moreover, the ongoing pandemic via contact social networks has caused tremendous human life and economic loss around the world, and infodemic is one of the major social impacts that make people difficult to discriminate trustworthy sources, from false and manipulative information sources. Therefore, researchers are increasingly interested in addressing a wide spectrum of challenges in social networks, such as developing social-aware algorithms for communications systems, identifying the topological common structures and information/influence flows, analyzing the social media and evolutions of social graphs, and exploiting location-based and contextual information embedded in mobile social networks to create innovative applications. Due to the interdisciplinary nature, social networks have also attracted intensive research interests across multiple disciplines, including artificial intelligence, blockchain, big data analytics, information security and privacy protection, psychology, and marketing. In light of the above crucial needs, Selected Areas in Communication Symposium in Social Networks will serve as a forum for researchers and technologists to discuss the state-of-the-art, present their contributions, and set future directions in social networks. Topics of Interest The Social Networks SAC seeks original contributions in the following topical areas, plus others that are not explicitly listed but are closely related: - Infrastructure, platform, protocol design, and optimization for mobile social networks, mobile social clouds, and social Internet-of-Things with Artificial Intelligence - Social-aware network solutions and social network influence on (wireless) communications systems - Cross-layer design for social networks and the underlying communications and network platforms, and subsequent new design paradigm for future (wireless) communications - Network graph modeling, measurements, simulations, and experiments - Analysis of dynamics and control of belief, influence, and rumor propagations in the evolutions of social networks - Data mining, machine learning, information retrieval, signal processing, and artificial intelligence in social media and social contexts - Trusted networking, privacy and security, user behaviors and dynamics, and digital right management, for big data in social networks - Innovative social network applications and services to mobile Internet, multimedia networks, mobile-commerce, cyber-physical systems, and their potential social, economic, and cultural impacts - Multidisciplinary and interdisciplinary research on social networks Important Dates - Paper Submission: 22 May 2022 (Firm deadline) - Notification: 25 July 2022 - Camera Ready and Registration: 1 September 2022 How to Submit a Paper All papers for technical symposia should be submitted via EDAS. Full instructions on how to submit papers are provided on the IEEE Globecom 2022 website: https://globecom2022.ieee-globecom.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: GC2022-SAC-Social Networks.jpg Type: image/jpeg Size: 112853 bytes Desc: not available URL: From hocine.cherifi at gmail.com Tue May 10 04:26:15 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 10 May 2022 10:26:15 +0200 Subject: Connectionists: COMPLEX NETWORKS 2022 PALERMO ITALY SUBMISSION DEADLINE JUNE 07, 2022 Message-ID: *11th** International Conference on Complex Networks & Their Applications* *Palermo, Italy *November 08 - 10, 2022 COMPLEX NETWORKS 2022 You are cordially invited to submit your contribution until *June 07, 2022*. *SPEAKERS* ? Lu?s A. Nunes Amaral Northwestern University USA ? Manuel Cebrian Max Planck Institute for Human Development Germany ? Shlomo Havlin Bar-Ilan University in Israel ? Giulia Iori City, University of London UK ? Melanie Mitchell Santa Fe Institute USA ? Ricard Sol? Universitat Pompeu Fabra Spain *TUTORIALS (November 07, 2022)* ? Michele Coscia IT University of Copenhagen Denmark ? Adriana Iamnitchi Maastricht University, Netherlands *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Rosario N. Mantegna (university of Palermo, Italy) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From marius.pedersen at ntnu.no Tue May 10 03:42:51 2022 From: marius.pedersen at ntnu.no (Marius Pedersen) Date: Tue, 10 May 2022 07:42:51 +0000 Subject: Connectionists: PhD Candidate on Video Quality Assessment and Enhancement for Medical Services, NTNU, Norway Message-ID: A three-year PhD position on Video Quality Assessment and Enhancement for Medical Service is available at the Department of Computer Science, NTNU, in Gj?vik, Norway. The new Norwegian National health and hospital plan 2020-2023 states that state-of-the-art technology should be taken advantage of, and priorities should be taken to ensure sustainable and financially viable solutions fulfilling the core values of the Norwegian healthcare system. The plan emphasizes on the use of video communication and other state-of-the-art technologies to not only provide a better service to patients leading to earlier detection of diseases, earlier treatment, and recovery but also reducing the workload and financial costs in the medical sector. To follow this long-term plan, pilot studies in Norway have focused on the use of live video communication between the paramedics and doctors at the hospital. Such a video communication in medical services between paramedics in the field and doctors at the hospital makes enhancing and optimizing the quality of the videos used in medical services and so video quality assessment which is required as a basis for video enhancement crucially important. In this project, to facilitate better pre-hospital decision support, we focus on the quality assessment and enhancement of video communication in medical services This PhD position is devoted to the development of a new framework to guarantee a high quality of visual information in video communications between the paramedics on the field and doctors in the hospital. The main objectives of this work will be focused on the introduction of a new real-time optimization solution for efficient perceptual quality evaluation and enhancement of the delivered video stream. The solutions which most likely be based on using different deep learning and machine learning techniques must integrate the constraints and specificities related to the medical context and more particularly the decision support with the maximum of reliable and relevant visual information. Application deadline: 29.05.2022 Application portal: https://www.jobbnorge.no/en/available-jobs/job/225652/phd-candidate-on-video-quality-assessment-and-enhancement-for-medical-services -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurent.perrinet at univ-amu.fr Tue May 10 07:40:40 2022 From: laurent.perrinet at univ-amu.fr (PERRINET Laurent) Date: Tue, 10 May 2022 11:40:40 +0000 Subject: Connectionists: =?utf-8?q?Junior_Chair_in_Computational_Neuroscie?= =?utf-8?q?nces_at_Aix-Marseille_Universite=CC=81=2C_France?= Message-ID: <00976E1E-5E29-4866-8661-00D1F4554689@univ-amu.fr> Dear colleagues, Aix-Marseille Universite? (AMU) is opening a Junior Chair in Computational Neuroscience, a new tenured-track path at French Universities. The position is open at Junior Professor level (level of experience 3-10 years after PhD) and is supported with a start-up package of 470K?, including the salary for the Junior Professor. After 3-5 years, depending upon the scientific achievements, the Chair should lead to a permanent Faculty position at the Professor level (PR2). Quick facts: - Starting date: Sept-Dec 2022 (not flexible) - teaching is about 60h/year (negotiable) in Computational neurosciences - deadline of application June 8th - Inquiries and further information can be sent directly to both Dr Guillaume Masson (Director INT: guillaume.masson at univ-amu.fr) and Dr Viktor Jirsa (Director INS: viktor.jirsa at univ-amu.fr ) Full info (in French, then in English) at https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPublies/FIDIS/0134009M/FOPC_0134009M_1162.pdf Please circulate! Cheers, Laurent -- Laurent Perrinet - INT (UMR 7289) AMU/CNRS https://laurentperrinet.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CPJ_call_AMU_INT_INS_2022.pdf Type: application/pdf Size: 112256 bytes Desc: CPJ_call_AMU_INT_INS_2022.pdf URL: From hans.ekkehard.plesser at nmbu.no Tue May 10 08:44:39 2022 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 10 May 2022 12:44:39 +0000 Subject: Connectionists: NEST Conference 2022 - Extension of abstract submission deadline Message-ID: <07424ED7-E14C-44D5-B19A-17A0513FCD41@nmbu.no> Dear all, The abstract submission deadline for the (virtual) NEST Conference 2022 has been extended to Wednesday, 25 May. We are looking forward to your contributions! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Thursday/Friday 23/24 June 2022. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. Important dates 25 May 2022 ? Deadline for submission of contributions 03 June 2022 ? Notification of acceptance 17 June 2022 ? Registration deadline 23 June 2022 ? NEST Conference 2022 starts For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Tue May 10 08:32:01 2022 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 10 May 2022 14:32:01 +0200 Subject: Connectionists: Susan Goldin-Meadow speaking on May 18 in Developing Minds global online lecture series Message-ID: <3F0A75B6-2752-44D3-B064-E3EC76D68C40@fias.uni-frankfurt.de> Dear colleagues, On May 18, the Developing Minds global online lecture series will feature Susan Goldin-Meadow, Dept. of Psychology, U. of Chicago, USA: "The Mind Hidden in Our Hands? https://sites.google.com/view/developing-minds-series/home The live event will take place via zoom at: 08:00 CDT (Central Daylight Time) 13:00 UTC (Universal Coordinated Time) 15:00 CEST (Central European Summer Time) 22:00 JST (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract Gesture is versatile in form and function. Under certain circumstances, gesture can substitute for speech, and when it does, it embodies the properties of language that children themselves bring to language learning, and underscores the resilience of language itself. Under other circumstances, gesture can form a fully integrated system with speech. When it does, it both predicts and promotes learning, and underscores the resilience of gesture in thinking. Together, these lines of research show how much of our minds is hidden in our hands. Bio Susan Goldin-Meadow is the Beardsley Ruml Distinguished Service Professor in the Departments of Psychology and Comparative Human Development at the University of Chicago. Her research focuses on the most basic building blocks of language and thought as they are developed in early childhood. Specifically, she is interested in uncovering linguistic components that are so basic they will arise in a child?s communication system even if the child has limited access to outside linguistic input. Professor Goldin-Meadow?s research has also generated more broadly applicable insights into how the spontaneous gestures that learners produce can reveal their readiness to learn language, math, and scientific concepts. Professor Goldin-Meadow is the founding Editor of Language Learning and Development, and has been president of the International Society for Gesture Studies, president of the Cognitive Development Society, chair of the Cognitive Science Society, and president of the Association for Psychological Society. She is the recipient of a Guggenheim Fellowship, received the William James award for lifetime achievement in basic research from APS, was elected to the American Academy for Arts and Science in 2005, and the National Academy of Sciences in 2020. Web: https://psychology.uchicago.edu/directory/susan-goldin-meadow The talk will also be recored and the recording made available via the web page: https://sites.google.com/view/developing-minds-series/home Stay healthy, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From antonio.miranda at bsc.es Tue May 10 09:01:38 2022 From: antonio.miranda at bsc.es (Antonio Miranda) Date: Tue, 10 May 2022 15:01:38 +0200 Subject: Connectionists: FINAL CFP LivingNER shared task: Named entity recognition, normalization & classification of species, pathogens and food Message-ID: (Apologies for cross-posting) [image: LivingNER] Call for Participation: LivingNER ? shared task: Named entity recognition, normalization & classification of species, pathogens and food. *IBERLEF/SEPLN2022 |A Coru?a, Spain.* Register now What to expect from this track LivingNER ? is the first track focusing specifically on the automatic detection of species mentions (humans, plants, animals, insects, pathogens), as well as their normalization to species taxonomy concepts (NCBI Taxonomy @https://www.ncbi.nlm.nih.gov/taxonomy ). The detection, grounding, and classification of species mentions from documents is highly relevant for a diversity of real-world applications in medicine, biology, biodiversity, nutrition, and pharmacology. For instance, it represents a key component for text mining applied to: Pathogens and tropical diseases (and their mode of transmission) Pets and farm animals (incl. health-related issues related to them) Hospital-acquired or nosocomial infections Animal causing injuries/diseases, bites, etc. on humans Microorganisms, antibiotic resistance, microbiome Allergies and food (incl. diets, intoxications, certain toxic habits, drug-food interactions) *Subtracks* ? We foresee that participation in the LivingNER track will contribute to generating resources that will improve the exploitation of clinical unstructured data and thus unlock valuable health information, assist data curation and facilitate quality evaluation and interpretability of species mention detection systems. Following the success of previously organized shared tasks (i.e. CANTEMIST, PharmaCoNER, or MEDDOCAN), we are now launching the LivingNER ? shared task as part of the IberLEF 2022 evaluation initiative (co-located with SEPLN 2022), with the following three sub-tracks: [image: Ella Becker] LivingNER-Clinical NER *Automatic mention detection of species (Both human and non-human)* [image: Archie Kendal] LivingNER-Species Norm *Finding mentions of species and mapping them to their corresponding NCBI taxonomy concept identifiers.* [image: Ella Becker] LivingNER-Clinical IMPACT *Classifying documents according to 4 axes of clinical relevance (pets/farm animals, animal causing injuries, food, and nosocomial) and retrieving the evidence supporting the classification.* *What's NEW!!? (May 2022)* We released *multilingual resources* to foster the development of multilingual tools and generate systems not only for Spanish but also for content in English and Romance languages (French, Portuguese, Catalan, Italian, and Romanian): LivingNER-English, LivingNER-Italian, LivingNER-French, LivingNER-Portuguese, LivingNER-Catalan, and LivingNER-Romanian. *Language comparison SPA *??* vs ENG *?? *(click on the image to see more)* *Resources ?* WEB DATA ANNOTATION GUIDELINES VOCABULARY Multilingual Dataset ? *Schedule ? (Updated)* June 12th, 2022 End of the evaluation period June 24th, 2022 Working paper submission July 4th, 2022 Notification of acceptance (peer-view) July 11th, 2022 Camera-ready system description September 20th, 2022 IberLEF @ SEPLN 2022 *Scientific Committee.* *Tome Eftimov* Jo?ef Stefan Institute, Ljubljana, Slovenia *Irena Spasic* Cardiff University, UK *Kirk Roberts* University of Texas Health Science Center, USA *Felipe Bravo* University of Chile, Chile *Karin Verspoor* University of Melbourne, Australia *Tristan Naumann* Microsoft Research Healthcare NExT, USA *Claire N?dellec* University Paris-Saclay, INRAE, France *Enea Parimbelli* Assistant Professor at University of Pavia, Italy *Casimiro Pio Carrino* Research Engineer at Barcelona Supercomputing Center, Spain *Zhiyong Lu* National Center for Biotechnology Information (NCBI), USA *Ashish Tendulkar* Google Research *Rosa Estop? Bagot* Universitat Pompeu Fabra, Spain *Carlos Luis Parra Calder?n* Institute of Biomedicine of Seville, Spain *Thierry Declerck* Senior Consultant at DFKI GmbH, Germany *Ernestina Menasalvas* Universidad Polit?cnica de Madrid, Spain *Koldo Gojenola* University of the Basque Country, Spain *Check out the FULL Scientific Committee * *ORGANIZATIONS INVOLVED* [image: https://sites.google.com/view/iberlef2022] Teams participating in LivingNER will be invited to contribute a systems description paper for the IberLEF (SEPLN 2022) Working Notes proceedings and a short presentation of their approach at the IberLEF 2022 workshop. If you receive multiple emails for this same call for participation, We are very sorry for the inconvenience. -- *Antonio Miranda* Biomedical Engineer at Barcelona Supercomputing Center *Phone: 0034 649227310* *Location: Madrid**, Spain* -------------- next part -------------- An HTML attachment was scrubbed... URL: From pia.klabunn at charite.de Tue May 10 09:13:24 2022 From: pia.klabunn at charite.de (Klabunn, Pia) Date: Tue, 10 May 2022 13:13:24 +0000 Subject: Connectionists: =?windows-1252?q?Postdoctoral_Position_-_Collabor?= =?windows-1252?q?ative_Research_Center_1315_=93Memory_Consolidation=94_?= =?windows-1252?q?=28Berlin=2C_Germany=29_-_Starting_date_October_2022?= Message-ID: <3cbf8f2b7f814803ae2ee04540fb3dca@charite.de> Dear all, We invite applications for a four-year postdoctoral position in the CRC 1315 project ?Spatial Memory Consolidation Networks?. The CRC 1315 ?Memory Consolidation? brings together outstanding memory researchers from Berlin institutions, including Charit?, Humboldt-Universit?t zu Berlin, Freie Universit?t Berlin and Technische Universit?t Berlin. The successful applicant will become a member of the Brain & Behavior Group at the Dept. of Neurology at Charit? Berlin and will be embedded in an interdisciplinary network of basic and clinical neuroscience researchers. There will be continuous exchanges with Postdocs, PhD students and Faculty of the CRC and associated institutions, including the Excellence Cluster NeuroCure, the Bernstein Center for Computational Neuroscience and the Berlin School of Mind and Brain. The project combines electrophysiological, pharmacological, imaging and lesion approaches in human patients and normal human subjects with behavioral/virtual reality paradigms to study contextual modulation of spatial memory consolidation. Please see the attached project summary and graphical abstract for more details. Requirements ? PhD/Dr in Medicine, Psychology, Cognitive Science, Neuroscience, Biology, Computer Science or related disciplines with excellent results ? Experience in one of the proposed research methods (i.e., electrophysiology/intracranial recordings, neuroimaging (structural/functional MRI), human lesion studies, behavioral/virtual reality studies ? Programming skills, preferably in Matlab, Python or R Desirable ? Familiarity with memory research, spatial cognition and hippocampal function ? Experience in the study of clinical populations Please contact us for further details: christoph.ploner at charite.de or carsten.finke at charite.de. Send your application as a single PDF file including a CV, a motivation letter and a statement of research experience, and the names and contact details of two academic references to carsten.finke at charite.de (applications will be considered until the position is filled). Best regrads Pia Klabunn, Carsten Finke and Christoph Ploner -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc Position SFB1315 - B05-.pdf Type: application/pdf Size: 177048 bytes Desc: Postdoc Position SFB1315 - B05-.pdf URL: From constantin.rothkopf at cogsci.tu-darmstadt.de Tue May 10 14:28:19 2022 From: constantin.rothkopf at cogsci.tu-darmstadt.de (Constantin Rothkopf) Date: Tue, 10 May 2022 20:28:19 +0200 Subject: Connectionists: Extended deadline: KogWis2022 | 15th Biannual Conference of the German Cognitive Science Society Message-ID: <76dbac4d-b27d-2afe-cc67-cb1c6a8955ba@cogsci.tu-darmstadt.de> Deadline extended to May 16th, 2022. Event: The 15th Biannual Conference of the German Cognitive Science Society, KogWis2022 Theme: Understanding Minds Date: 5.-7. September 2022 Location: Freiburg im Breisgau, Germany Host: Albert-Ludwigs University Freiburg Web: https://www.kogwis2022.uni-freiburg.de/ +++ The Call for Papers is now open (deadline: May 9th, 2022) : https://www.kogwis2022.uni-freiburg.de/picturesandstuff/call-for-papers-kogwis-2022 +++ The Call for Tutorials is now open (deadline: May 9th, 2022): https://www.kogwis2022.uni-freiburg.de/picturesandstuff/call-for-tutorials-kogwis-2022 Abstract: The 15. biannual Conference of the German Cognitive Science Society (KogWis2022) will take place from 5.-7. September 2022 in Freiburg i.Br., Germany, organized by the Center for Cognitive Science. The theme ?Understanding Minds? reflects two perspectives: The conference provides a forum for all topics in the study of how minds ? both human and artificial ? operate.? The theme also puts a specific spotlight on how cognitive systems make sense of the world, in particular in language comprehension and communication. Confirmed keynote speakers are: Dedre Gentner, Northwestern University, Illinois (USA) Seana Coulson, University of California, San Diego (USA) Marcel Brass, Humboldt-University, Berlin (D) Matthew Crocker, Saarland University, Saarbr?cken (D) Further information is available on the conference website: www.kogwis2022.uni-freiburg.de. For any inquiries please use the conference e-mail-address: kogwis2022 at cognition.uni-freiburg.de. With kind regards - The Organising Committee Evelyn Ferstl, Lars Konieczny, Rul von St?lpnagel, Judith Beck, Lisa Zacharski From P.Tino at cs.bham.ac.uk Tue May 10 10:46:55 2022 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Tue, 10 May 2022 15:46:55 +0100 Subject: Connectionists: CFP: 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) Message-ID: <16cdb7a7-975e-b715-f590-d6d2e25b255c@cs.bham.ac.uk> IDEAL 2022: Intelligent Data Engineering and Automated Learning Nov 24-26, 2022, Hybrid in Manchester, UK. https://ideal-conf.com/ideal2022 Submission Deadline Jul 1, 2022 Notification Aug 1, 2022 Camera-ready Version Sep 1, 2022 Keywords: data mining, machine learning, big data, neural networks Call For Papers The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) is an annual international conference dedicated to emerging and challenging topics in intelligent data analytics and associated learning systems and paradigms. Following the recent successful events: IDEAL2021 (virtual), IDEAL2020 in Guimar?es (virtual), IDEAL2019 in Manchester, and IDEAL 2018 in Madrid, the 23rd edition, IDEAL2022 will be back in Manchester as a hybrid event given the circumstances. Its core themes or topics include, but not limited to: Big Data Analytics Machine Learning & Deep Learning Data Mining Information Retrieval and Management Bio and Neuro-Informatics Bio-Inspired Models Agents and Hybrid Intelligent Systems Real-world Applications of Intelligent Techniques Special Sessions & Workshops You are welcome to suggest a proposal for a Special Session or Workshop on a focused, active or emerging topic in the scope of IDEAL. Instructions for authors Authors are invited to submit their manuscripts (in pdf format) written in English by the deadline via the conference online submission system (Easychair - see below). All submissions will be peer-reviewed by experts in the field based on originality, significance, quality and clarity. All contributions must be original, must not have been published elsewhere, and must not have been submitted elsewhere during the review period. Papers should be within 9 pages (including references) but must not exceed 12 pages, and must comply with the format of Springer LNCS/LNAI Proceedings (see www.springer.com/lncs). Short Papers To encourage emerging results and novel initial developments, especially from PhD students and young researchers, we accept short papers (within 6 LNCS pages). Short papers may be submitted a few days after the deadline. Such papers will also go through our vigorous peer-review process for its novelty and soundness with a much quicker turn-around time. Although short papers are mainly for the main track, they can be submitted to any relevant Special Sessions too (information will be avaiable). The submission system will treat any papers that are within 6 pages as short papers and PC chairs will ensure a speedy review of them. Paper submission for IDEAL 2022 is via Easychair: https://easychair.org/conferences/?conf=ideal2022 Call for Workshops and Special Sessions Special Sessions In addition to the regular sessions, there are a few special sessions devoted to emerging topics and areas with growing attention - details of approved Special Sessions will be given in IDEAL 2022 website. Researchers and prospective organizers, should you interested in proposing a new Special Session, please submit a one-page proposal as soon as possible to IDEAL Pagramme Committee Co-Chairs [atallon at us.es], by including the following information: ? The title of the special session. ? The organizers with their affiliations. ? A description of why the topic is of special interest and how it fits to the scope of IDEAL. Each special session preferably consists of four or more presentations. Special sessions receiving less than 4 accepted papers will be merged into the main track. Workshops Workshops focus on new and emerging topics. In contrast to special sessions, workshops should include an introductory talk or tutorial on the topic and will have final discussions at the end of the workshop. Apart from the introductory talk in the discussion, Workshops should preferably include six or more additional presentations. Researchers or prospective organisers are invited to submit a one-page proposals for workshops to the conference address [atallon at us.es]. In addition to the information required for special sessions, workshop proposal should also include the following: ? Name(s) of the presenter(s)/organizer(s) of the introductory talk. ? A theme for the discussion. Best Paper Awards IDEAL 2022 will be awarding Best Papers awards in several categories, sponsored by Springer and IEEE CIS UK & Ireland Chapter. Journal Special Issues Authors of all selected accepted papers will be invited to submit an extended and improved version for consideration for Special Issue in several journals - details to follow on the website. COVID-19 Situations It was the organisers' every intention to hold IDEAL 2022 as a hybrid conference. At the same time, given the COVID and other uncertainty and possible travel restrictions and difficulties, IDEAL 2022 will accept virtual presentations from the authors of accepted papers. We will watch the situations closely and update you regularly. Should you have any questions, please contact us. Partners and Co-Sponsors IDEAL 2022 is organised by the University of Manchester, technically co-sponsored by the IEEE CIS -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 , fax: 414 4281 http://www.cs.bham.ac.uk/~pxt/ From iswc.conf at gmail.com Tue May 10 11:16:35 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Tue, 10 May 2022 11:16:35 -0400 Subject: Connectionists: [cfp] Call for ISWC'22 Doctoral Consortium Papers *~<3 days left* Message-ID: *CfP: Hybrid 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ Call for Doctoral Consortium papers ***************************************** The ISWC 2022 Doctoral Consortium (DC) will take place virtually as part of the 21st International Semantic Web Conference. This forum will provide PhD students an opportunity to: - present and discuss their research ideas in a supportive, formative and yet critical environment; - receive feedback from mentors, typically senior members of the Semantic Web research community, and peers; - explore career pathways available after completing their PhD degree, and finally - network and build collaborations with other members of the community. The event is intended for students who have articulated a reasonably detailed research proposal, preferably supported by some preliminary results. The aim is to support the students in refining their proposal and suggest possible ways to improve their research plan and achieve results with prospective greater impact. While doctoral degrees can vary in format and conduct, we aim this Call for Papers to PhD candidates who will have already partially investigated some specific problems. Students will be required to submit a paper to the doctoral consortium, structured like a research proposal (see ?Submission Details? below). All proposals submitted to the Doctoral Consortium will undergo a rigorous review process by the International Programme Committee, who will provide detailed and constructive feedback and select those submissions to be presented at the Doctoral Consortium. If accepted, students will have to register and attend the event, which will include a range of interactive activities. Call for Doctoral Consortium Papers: https://iswc2022.semanticweb.org/index.php/doctoral-consortium/ Deadline: Friday, 13th May, 2022, 23:59 AoE (Anywhere on Earth) DC Chairs: - Olaf Hartig, Link?ping University, Sweden - Oshani Seneviratne, Rensselaer Polytechnic Institute, USA Contact: DoctoralConsortium-iswc2022 at easychair.org Follow us on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From b.mirzasoleiman at gmail.com Tue May 10 12:47:32 2022 From: b.mirzasoleiman at gmail.com (Baharan Mirzasoleiman) Date: Tue, 10 May 2022 09:47:32 -0700 Subject: Connectionists: The 2nd Sparse NN workshop - Call For Papers! Message-ID: Dear all, We are excited to announce the second iteration of ?*Sparsity in Neural Networks: Advancing Understanding and Practice*?, continuing on its successful inaugural version in 2021. The workshop will take place online on July 13th, 2022. The goal of the workshop is to bring together members of many communities working on neural network sparsity to share their perspectives and the latest cutting-edge research. We have assembled an incredible group of speakers, and *we are seeking contributed work from the community. * Attendance is free: please register at the workshop website: https://www.sparseneural.net/ You can submit your paper here: https://openreview.net/group?id=Sparsity_in_Neural_Networks/2022/Workshop/SNN (available by May 10th). Important Dates - June 10th, 2022 [AOE]: Submit an abstract and supporting materials - June 30th, 2022: Notification of acceptance - July 13, 2022: Workshop Topics (including but not limited to) - Algorithms for Sparsity - Pruning both for post-training inference, and during training - Algorithms for fully sparse training (fixed or dynamic), including biologically inspired algorithms - Algorithms for ephemeral (activation) sparsity - Sparsely activated expert models - Scaling laws for sparsity - Sparsity in deep reinforcement learning - Systems for Sparsity - Libraries, kernels, and compilers for accelerating sparse computation - Hardware with support for sparse computation - Theory and Science of Sparsity - When is overparameterization necessary (or not) - Optimization behavior of sparse networks - Representation ability of sparse networks - Sparsity and generalization - The stability of sparse models - Forgetting owing to sparsity, including fairness, privacy and bias concerns - Connecting neural network sparsity with traditional sparse dictionary modeling - Applications for Sparsity - Resource-efficient learning at the edge or the cloud - Data-efficient learning for sparse models - Communication-efficient distributed or federated learning with sparse models - Graph and network science applications This workshop is non-archival, and it will not have proceedings. We permit under-review or concurrent submissions. Submissions will receive one of three possible decisions: - *Accept (Spotlight Presentation)*. The authors will be invited to present the work during the main conference, with live Q&A. - *Accept (Poster Presentation)*. The authors will be invited to present their work as a poster during the workshop?s interactive poster sessions. - *Reject*. The paper will not be presented at the workshop. Eligible Work - *The latest research innovations* at all stages of the research process, from work-in-progress to recently published papers - We define ?recent? as presented within one year of the workshop, e.g., the manuscript is first publicly available on arxiv or else no earlier than June 29th, 2021. - *Position or survey papers* on any topics relevant to this workshop (see above) *Required materials* 1. *One mandatory abstract* (250 words or fewer) describing the work 2. *One or more* *of the following accompanying materials* that describe the work in further detail. Higher quality accompanying materials improve the likelihood of acceptance and of spotlighting work with an oral presentation. 1. *A poster* (in PDF form) presenting results of work-in-progress. 2. *A link to a blog post* (e.g., distill.pub, Medium) describing results. 3. *A workshop paper* of approximately four pages in length presenting results of work-in-progress. Papers should be submitted using the NeurIPS 2021 format. 4. *A position paper* with no page limit. 5. *A published paper* in the form that it was published. We will only consider papers that were published in the year prior to this workshop. We hope you will join us in attendance! Best Regards, On behalf of the organizing team (Ari, Atlas, Jonathan, Utku, Baharan, Siddhant, Elena, Chang, Trevor, Decebal) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed May 11 04:08:21 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 11 May 2022 10:08:21 +0200 Subject: Connectionists: CFP Communities in Networks @NetSci 2022 July 11-12, 2022 Message-ID: Communities in Networks July 11-12, 2022 An Online Workshop Satellite of NetSci 2022 *Invited Speakers * *Aaron Clauset * *University of Colorado, USA* *Santo Fortunato * *Indiana University, USA* *Peter Mucha * *Dartmouth College, USA* *Vincent Traag **Leiden University, Netherlands* Submission deadline: May 30, 2022 Acceptance notification: June 10, 2022 Community structure is one of the most relevant features encountered in numerous real-world applications of networked systems. Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few years to characterize, model, and analyze communities, more investigations are needed to better understand the impact of their structure and dynamics on networked systems. Therefore, the primary goal of this satellite workshop is to demonstrate the cutting-edge research advances on community structures in networks to provide a landscape of research progress and application potentials in related areas. Papers ranging from a broad nature to various aspects of community structure with substantial algorithmic innovations and application-oriented works are solicited. Topics relevant to this satellite session include, but are not limited to, the following: Models of Communities Embedding Models of Communities Evolution/Temporal Communities Dynamic and/of Communities Community Detection Communities in Uncertain Data Entropy Metrics for Communities Visual Representation of Communities Parallel Algorithms for Communities Hierarchy and Ego-Networks Communities and Sampling Communities and Controllability Communities and Synchronization Communities and Machine Learning Communities and Resilience Communities and Link Prediction Communities in Social Networks Communities in Multiplex Communities in Economics & Finance Communities in Epidemics Communities in Rumor Spreading Communities in Mobile Networks Communities in Biological Networks Communities in Brain Communities in Technological Networks *CONTRIBUTION: * *Extended Abstracts* about published or unpublished research (2 to 4 pages including references). They must follow the BioMed Central article template available at: https://appliednetsci.springeropen.com/submission-guidelines/preparing-your-manuscript/research-articles *PUBLICATION: * Selected contributions will be invited to submit an extended version to be published in a book of the Studies in Computational Intelligence book series edited by Springer. *SUBMISSION WEBSITE* https://easychair.org/conferences/?conf=comnets2022 *ORGANIZERS* *Hocine Cherifi University of Burgundy, France* *Gergely Palla E?tv?s Lor?nd University, Hungary* *Boleslaw Szymanski, Rensselaer Polytechnic Institute, Troy, NY, USA* Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From chz8 at aber.ac.uk Wed May 11 08:46:04 2022 From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff)) Date: Wed, 11 May 2022 12:46:04 +0000 Subject: Connectionists: SIGEVO Summer School (online, 20-24 June 2022), Deadline: 6 June 2022 Message-ID: (Apologies for cross-posting) ************************************************************************ SIGEVO Summer School Held online (in conjunction with ACM GECCO 2022 Conference) 20-24 June 2022 (online on Zoom and Gather) Website: https://gecco-2022.sigevo.org/Summer-School Email: sigevo-school at aber.ac.uk Application deadline: 6 June 2022 ************************************************************************ The SIGEVO Summer School (S3, https://gecco-2022.sigevo.org/Summer-School) goes into round 5 and will again cover both, general skills needed by GECCO researchers and in-depth knowledge about specific GECCO topics. Networking with fellow participants and senior researchers (mentors) will give participants a unique opportunity to connect with the community. Interested? Places are limited. Submit a short motivational statement by 6 June 2022. More information: https://gecco-2022.sigevo.org/Call-for-Summer-School Organisers: - Miguel Nicolau, University College Dublin, Republic of Ireland - Christine Zarges, Aberystwyth University, Wales, United Kingdom Questions? Send us an email: sigevo-school at aber.ac.uk Current Mentors: - Juergen Branke, University of Warwick, England, United Kingdom - Carola Doerr, CNRS and Sorbonne University, France - Carlos Fonseca, University of Coimbra, Portugal - Manuel L?pez-Ib??ez, University of M?laga, Spain - Leslie P?rez C?ceres, Pontificia Universidad Cat?lica de Valpara?so, Chile ---------------------------------------------------------------------------------------------------------------------- Y Brifysgol orau yn y DU am Ansawdd ei Dysgu a Phrofiad Myfyrwyr Best University in the UK for Teaching Quality and Student Experience (The Times and Sunday Times, Good University Guide 2021) Rydym yn croesawu gohebiaeth yn Gymraeg a Saesneg. Cewch ateb Cymraeg i bob gohebiaeth Gymraeg ac ateb Saesneg i bob gohebiaeth Saesneg. Ni fydd gohebu yn Gymraeg yn arwain at oedi. We welcome correspondence in Welsh and English. Correspondence received in Welsh will be answered in Welsh and correspondence in English will be answered in English. Corresponding in Welsh will not involve any delay. From bucchiarone at fbk.eu Wed May 11 09:29:13 2022 From: bucchiarone at fbk.eu (Antonio Bucchiarone) Date: Wed, 11 May 2022 15:29:13 +0200 Subject: Connectionists: MODELS 2022: 7 days left for the Technical Track Submission Message-ID: --------------------------------------------------------------------------- MODELS 2022 ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems October 23-28, 2022 Montreal, Canada https://conf.researchr.org/home/models-2022 --------------------------------------------------------------------------- MODELS is the premier conference series for model-based software and systems engineering. Since 1998, MODELS has covered all aspects of modeling, from languages and methods, to tools and applications. Attendees of MODELS come from diverse backgrounds, including researchers, academics, engineers, and industrial professionals. MODELS 2022 is a forum for participants to exchange cutting-edge research results and innovative practical experiences around modeling, modeling languages, and model-based software and systems engineering. This year?s edition will provide an opportunity for the modeling community to further advance the foundations of modeling, and come up with innovative applications of modeling in emerging areas of cyber-physical systems, embedded systems, socio-technical systems, cloud computing, big data, machine learning, security, open source, and sustainability. For this year?s edition, the conference has the special theme ?Modeling for social good? #MDE4SG. Thus, we especially encourage contributions where model-based engineering intersects with research and applications on, not exclusively, socio-technical systems, tools with social impact, integrating human values, data science, artificial intelligence, digital twins, Industry/Society 5.0, and intelligent systems in general. --------------------------------------------------------------------------- **** Important Dates **** Abstract Submission: May 11, 2022 Paper Submission: May 18, 2022 Author notification: July 12, 2022 Camera Ready Due: August 1, 2022 --------------------------------------------------------------------------- **** Topics of Interest (but not restricted to) **** MODELS 2022 seeks submissions on diverse topics related to modeling for software and systems engineering, including, but not limited to: * Foundations of model-based engineering, including definition of syntax and semantics of modeling languages and model transformation languages. * New paradigms, formalisms, applications, approaches, frameworks, or processes for model-based engineering such as low-code/no-code development, digital twins, etc. * Definition, usage, and analysis of model-based generative and re-engineering approaches. * Models at Runtime: model-based monitoring, analysis, and adaptation towards intelligent systems, e.g., with digital shadows or digital twins. * Development of model-based systems engineering approaches and modeling-in-the-large including interdisciplinary engineering and coordination. * Applications of AI to model-based engineering problems including e.g., search-based and machine learning approaches. * Model-based engineering foundations for AI-based systems. * Human and organizational factors in model-based engineering. * Tools, meta-tools, and language workbenches for model-based engineering, including model management and scalable model repositories. * Integration of modeling languages and tools (hybrid multi-modeling approaches). * Evaluation and comparison of modeling languages, techniques, and tools. * Quality assurance (analysis, testing, verification) for functional and non-functional properties of models and model transformations. * Collaborative modeling research to address global and team management issues (e.g., browser-based and cloud-enabled collaboration). * Evolution of modeling languages and related standards. * Evidence-based education research for curricular concerns on modeling topics. * Modeling in software engineering; applications of models to address general software engineering challenges. * Modeling for specific challenges such as collaboration, scalability, security, interoperability, adaptability, flexibility, maintainability, dependability, reuse, energy efficiency, sustainability, and uncertainty. * Modeling with, and for, new and emerging systems and paradigms such as security, cyber-physical systems (CPSs), the Internet of Things (IoTs), cloud computing, DevOps, data analytics, data science, machine learning, big data, systems engineering, socio-technical systems, critical infrastructures and services, robotics, mobile applications, conversational agents, open source software, sustainability and modeling for social good. * Empirical studies of applying model-based engineering for domains such as smart production, smart cities, smart enterprises, smart mobility, smart society, etc. --------------------------------------------------------------------------- As in previous years, MODELS 2022 is offering two tracks for technical papers: the Foundations Track and the Practice & Innovation Track. A detailed description on the submission process for both tracks is provided at: https://conf.researchr.org/track/models-2022/models-2022-technical-track --------------------------------------------------------------------------- **** FOUNDATIONS TRACK **** We invite authors to submit high quality contributions describing significant, original, and unpublished results in the following categories: 1. Technical Papers Technical papers should describe innovative research in modeling or model-driven engineering activities. Papers in this submission category should describe a novel contribution to the field and should carefully support claims of novelty with citations to the relevant literature. Evaluation Criteria: Technical papers are evaluated on the basis of originality, soundness, relevance, importance of contribution, strength of validation, quality of presentation and appropriate comparison to related work. Where a submission builds upon previous work of the author(s), the novelty of the new contribution must be described clearly with respect to the previous work. Technical papers need to discuss clearly how the results were validated (e.g., formal proofs, controlled experiments, rigorous case studies, or simulations). Authors are strongly encouraged to make the artifacts used for the evaluation publicly accessible, e.g., through a Github repository or an alternative that is likely to remain available. There will be an artifact evaluation process, as discussed below. 2. New Ideas and Vision Papers We solicit short papers that present new ideas and visions. Such papers may describe new, non-conventional model-driven engineering research positions or approaches that depart from standard practice. They can describe well-defined research ideas that are at an early stage of investigation. They could also provide new evidence that common wisdom should be challenged, present new unifying theories about existing modeling research that provides novel insight or that can lead to the development of new technologies or approaches, or apply modeling technology to radically new application areas. Evaluation Criteria: New ideas and vision papers will be assessed primarily on their level of originality and potential for impact on the field in terms of promoting innovative thinking. Hence, inadequacies in the state-of-the-art and the pertinence, correctness, and impact of the idea/vision must be described clearly, even though the new idea need not be fully worked out, and a fully detailed roadmap need not be presented. Authors are strongly encouraged to make the artifacts used for the evaluation publicly accessible, e.g., through a Github repository or an alternative that is likely to remain available. There will be an artifact evaluation process, as discussed below. --------------------------------------------------------------------------- **** PRACTICE AND INNOVATION TRACK **** The goal of the Practice and Innovation (P&I) Track is to fill the gap between foundational research in model-based engineering (MBE) and industrial needs. We invite authors from academia and/or industry to submit original contributions reporting on the development of innovative MBE solutions in industries, public sector, or open-source settings, as well as innovative application of MBE in such contexts. Examples include: * Scalable and cost-effective methodologies and tools * Industrial case studies with valuable lessons learned * Experience reports providing novel insights Each paper should provide clear take-away value by describing the context of a problem of practical importance, and the application of MBE that leads to a solution. Evaluation Criteria: A paper in the P&I Track will be evaluated mainly from its practical take-away and the potential impact of the findings. More specifically, * The paper should discuss why the solution to the problem is innovative (e.g., in terms of advancing the state-of-practice), effective, and/or efficient, and what likely practical impact it has or will have; * The paper should provide a concise explanation of approaches, techniques, methodologies and tools employed; * The paper should explain best practices that emerged, tools developed, and/or software processes involved. * Studies reporting on negative findings must provide a thorough discussion of the potential causes of failure, and ideally a perspective on how to solve them. * Authors are encouraged to make the artifacts publicly accessible, e.g., through a Github repository or an alternative that is likely to remain available. There will be an optional artifact evaluation process, as discussed below. --------------------------------------------------------------------------- **** Artefact Evaluation **** After the notification, the authors of accepted papers will be invited to submit their accompanying artifacts (e.g., software, datasets, proofs) to the Artifact Evaluation track to be evaluated by the Artifact Evaluation Committee. Participation in the Artifact Evaluation process is optional and does not affect the final decision regarding the acceptance of papers. Papers that successfully go through the Artifact Evaluation process will be rewarded with a seal of approval included in the papers. **** Special Issue in SoSyM **** Authors of best papers from the conference will be invited to revise and submit extended versions of their papers for publication in the Journal of Software and Systems Modeling. -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.tetko at helmholtz-muenchen.de Wed May 11 17:41:14 2022 From: i.tetko at helmholtz-muenchen.de (Igor Tetko) Date: Wed, 11 May 2022 23:41:14 +0200 Subject: Connectionists: AIDD Spring School - Advanced Machine Learning for Drug Discovery (IDSIA, Lugano) Message-ID: <688E150E-3D62-4B41-9A73-D48993EC85CC@helmholtz-muenchen.de> Lectures are streamed online. Lectures for the next days are: Thursday, May 12 Geometric Deep Learning Silvio Giancola Artificial intelligence and chemical space Jean-Louis Reymond Comparing and clustering synthetic route prediction Samuel Genheden Explainable AI: Interpreting, explaining and visualizing deep learning Alessandro Antonucci, Alessandro Facchini Friday, May 13 Can we learn chemical and energetic properties from molecular simulations? Vittorio Limongelli Integrative structural biology and to study the structure and dynamics of biomolecular complexes and in structure-based drug discovery Michael Sattler AI Formula Generator (Swiss Digital Innovation of the Year 2021 award) Guillaume Godin Conformal Prediction for the Design Problem Clara Wong-Fannjiang (Zoom) Monday, May 16 Gaussian processes and sequential design of experiments Dario Azzimonti The Bayesian approach: models and inference Adam Arany Cell Painting assay: data analysis, reporting and applications Axel Pahl Overview of toxicity prediction methods Emilio Benfenati Tuesday, May 17 Presentation of the H2020 MSCA-RISE project "VIRTUOUS" Dario Piga and Gianvito Grasso Challenges in ML 3 short talks and brainstorming The program with time (CET) is available at: https://www.idsia.ch/idsia_en/highlights/events/2022/2022-05-7.html or https://ai-dd.eu/news See overview of the previous lectures at: https://twitter.com/AiddOne Dr. Igor V. Tetko Group leader Helmholtz Munich http://ai-dd.eu http://ochem.eu Helmholtz Zentrum München Deutsches Forschungszentrum fuer Gesundheit und Umwelt (GmbH), Ingolstaedter Landstr. 1, 85764 Neuherberg, www.helmholtz-munich.de Geschaeftsfuehrung: Prof. Dr. med. Dr. h.c. Matthias Tschoep, Kerstin Guenther | Aufsichtsratsvorsitzende: Prof. Dr. Veronika von Messling | Registergericht: Amtsgericht Muenchen HRB 6466 | USt-IdNr. DE 129521671 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Wed May 11 11:26:11 2022 From: info at incf.org (INCF) Date: Wed, 11 May 2022 17:26:11 +0200 Subject: Connectionists: INCF Assembly 2022: Abstract deadline extended! Message-ID: *The deadline to submit your abstracts to INCF Neuroinformatics Assembly 2022 has been extended to May 23!* This interactive event will take place virtually from September 12-16 on the Gather platform, with poster sessions in Zohuddle. We?ve chosen these platforms specifically to make your experience as close to an in-person experience as possible. *Why is Assembly?s format different from other virtual conferences?* The Gather platform enables you to ?walk? around the virtual space and when you get close to other participants they will pop up on live video. This works the same for posters and exhibitor booths and gives you a much more interactive experience than your ordinary virtual conference! The Assembly offers many training opportunities for participants of all career stages - this year we offer a 2 PhD-credit course on ?Neuroscience data integration through use of digital brain atlases?. See all training sessions here . *What is Zohuddle?* It?s an app to simplify virtual networking, specifically the poster session of Assembly. It works by letting you rank the abstracts that interest you the most, then creating a schedule of ?huddles? with an integrated video chat for you to meet your matches! Important dates: - Registration opens: April 8 - Abstract submission opens: April 8 - Abstract submission closes: May 23 - Assembly: September 12-16 Submit your abstract & register for Assembly 2022 today! *Share with your friends, colleagues, and networks!* Please forward the above email to your colleagues, students, and other networks to make this the best Assembly yet! Is social media more your style? Here are some posts just for you! Post 1: ?Deadline extended!? You now have until May 23 to submit your abstracts for INCF Neuroinformatics Assembly 2022! Learn more & register here: bit.ly/Assembly2022reg Post 2: How is INCF Neuroinformatics Assembly 2022 more interactive than other virtual conferences? - ?Walk? around the space - get close to other participants to interact via video! - Earn 2 PhD credits on one of our digital brain atlasing courses! Learn more: bit.ly/NeuroinformaticsAssembly2021 *We hope to see you at INCF Neuroinformatics Assembly 2022!* -------------- next part -------------- An HTML attachment was scrubbed... URL: From davy.weissenbacher at gmail.com Wed May 11 14:53:06 2022 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Wed, 11 May 2022 14:53:06 -0400 Subject: Connectionists: CFP: #SMM4H'22, 7th Social Media Mining for Health Applications - Shared Task & Workshop at COLING 2022 Message-ID: ============================= Second call for shared task participation, evaluation period starts July 11, 2022 Second call for papers, submission deadline is August 15, 2022 ============================= *Apologies if you received multiple copies of this CFP* Location: Gyeongju, Republic of Korea Workshop Date: October 16-17, 2022 Important links: Workshop and Shared task: https://healthlanguageprocessing.org/smm4h-2022/ Submission link: TBA The workshop will include two components ? a shared task and a standard workshop Shared task The workshop organizers this year are hosting 10 shared tasks i.e. NLP challenges as part of the workshop. Participating teams will be provided with a set of annotated posts for developing systems, followed by a three-day window during which they will run their systems on unlabeled test data and upload it to Codalab for evaluation. For additional details about the tasks and information about registration, data access, paper submissions, and presentations, go to https://healthlanguageprocessing.org/smm4h-2022/ Task 1 ? Classification, detection, and normalization of Adverse Events (AE) mentions in tweets (in English) Task 2 ? Classification of stance and premise in tweets about health mandates related to COVID-19 (in English) Task 3 ? Classification of changes in medication treatments in tweets and WebMD reviews (in English) Task 4 ? Classification of tweets self-reporting exact age (in English) Task 5 ? Classification of tweets containing self-reported COVID-19 symptoms (in Spanish) Task 6 ? Classification of tweets which indicate self-reported COVID-19 vaccination status (in English) Task 7 ? Classification of self-reported intimate partner violence on Twitter (in English) Task 8 ? Classification of self-reported chronic stress on Twitter (in English) Task 9 ? Classification of Reddit posts self-reporting exact age (in English) Task 10 ? Detection of disease mentions in tweets ? SocialDisNER (in Spanish) Workshop The Social Media Mining for Health Applications (#SMM4H) workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Reddit, Facebook) for health informatics. The 7th #SMM4H Workshop, co-located at COLING 2022 ( https://coling2022.org/index), invites 4-page paper (unlimited references in standard COLING format) submissions on original, unpublished research in all aspects at the intersection of social media mining and health. Topics of interest include, but are not limited to: Methods for the automatic detection and extraction of health-related concept mentions in social media Mapping of health-related mentions in social media to standardized vocabularies Deriving health-related trends from social media Information retrieval methods for obtaining relevant social media data Geographic or demographic data inference from social media discourse Virus spread monitoring using social media Mining health-related discussions in social media Drug abuse and alcoholism incidence monitoring through social media Disease incidence studies using social media Sentinel event detection using social media Semantic methods in social media analysis Classifying health-related messages in social media Automatic analysis of social media messages for disease surveillance and patient education Methods for validation of social media-derived hypotheses and datasets Organizing Committee Graciela Gonzalez-Hernandez, University of Pennsylvania, USA Davy Weissenbacher, University of Pennsylvania, USA Arjun Magge, University of Pennsylvania, USA Ari Z. Klein, University of Pennsylvania, USA Ivan Flores, University of Pennsylvania, USA Karen O?Connor, University of Pennsylvania, USA Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland Lucia Schmidt, Roche Pharmaceuticals, Switzerland Juan M. Banda, Georgia State University, USA Abeed Sarker, Emory University, USA Yuting Guo, Emory University, USA Yao Ge, Emory University, USA Elena Tutubalina, Insilico Medicine, Hong Kong Luis Gasco, Barcelona Supercomputing Center, Spain Darryl Estrada, Barcelona Supercomputing Center, Spain Martin Krallinger, Barcelona Supercomputing Center, Spain Contact All questions should be emailed to Davy Weissenbacher ( dweissen at pennmedicine.upenn.edu) -------------- next part -------------- An HTML attachment was scrubbed... URL: From pokornam at cs.cas.cz Thu May 12 07:21:46 2022 From: pokornam at cs.cas.cz (Magda Pokorna) Date: Thu, 12 May 2022 13:21:46 +0200 Subject: Connectionists: Postdoc / Junior Scientist in Multimodal Neuroimaging Machine Learning, Prague, Czech Republic In-Reply-To: <7a1528e5-964e-a2ca-27f2-6bf983121962@cs.cas.cz> References: <7a1528e5-964e-a2ca-27f2-6bf983121962@cs.cas.cz> Message-ID: <7ac52234-d0bf-b23d-9bd0-efd29a951249@cs.cas.cz> Postdoctoral / Junior Scientistposition in Multimodal Neuroimaging Machine Learning is available in Prague, Czech Republic: A postdoc or junior scientistposition is available to join the _Complex Networks and Brain Dynamics group _for the project: /?Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data?/funded by the Czech Health Research Council.The project involves the development of tools to predict the functional outcome of schizophrenia from multimodal neuroimaging, clinical and cognitive measurements taken early after disease onset. To overcome limitations due to high dimensionality of data, we combine robust machine-learning tools, data-driven feature selection and theory-based brain network priors.The project is carried out in collaboration with the National Institute of Mental Health, using its unique large rich imaging, cognitive and biochemical data of early stage schizophrenia patients. **Applications will be reviewed on a rolling basis with a first cut-off point on June 30, 2022.** For more information and application see https://www.cs.cas.cz/job-offer/postdoctoral-junior-scientist-position-Hlinka2-2022/cs**** Do not hesitate to contact the principal investigator for informal inquiries concerning the position: Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka at cs.cas.cz, Web: http://cs.cas.cz/hlinka. Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic https://www.cs.cas.cz/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From pokornam at cs.cas.cz Thu May 12 07:09:10 2022 From: pokornam at cs.cas.cz (Magda Pokorna) Date: Thu, 12 May 2022 13:09:10 +0200 Subject: Connectionists: Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics, Prague, Czech Republic In-Reply-To: <14955e9f-c210-b31d-7200-d7ed0714dd35@cs.cas.cz> References: <14955e9f-c210-b31d-7200-d7ed0714dd35@cs.cas.cz> Message-ID: *Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics is available in Prague, Czech Republic:* We are looking for new team members to join the _Complex Networks and Brain Dynamics group _to work on its interdisciplinary projects. The group is part of the *Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic,*_https://www.cs.cas.cz/ _. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at _http://cobra.cs.cas.cz/ _. **Applications will be reviewed on a rolling basis with a first cut-off point on June 30, 2022.** For more information and application see https://www.cs.cas.cz/job-offer/research-fellow-postdoc-position-Hlinka1-2022/cs Do not hesitate to contact the principal investigator for informal inquiries concerning the position: Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka at cs.cas.cz, Web: http://cs.cas.cz/hlinka. Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic https://www.cs.cas.cz/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From arvind.k.panchal at gmail.com Thu May 12 09:42:27 2022 From: arvind.k.panchal at gmail.com (Arvind Kumar) Date: Thu, 12 May 2022 15:42:27 +0200 Subject: Connectionists: Postdoctoral researcher positions to study Cerebellum-Basal ganglia interaction Message-ID: Postdoctoral researcher positions to study Cerebellum-Basal ganglia interaction We invite applications for a postdoctoral position jointly supervised by Dr. Arvind Kumar (KTH Stockholm, Sweden), and Dr. Philippe Isope (CNRS, University of Strasbourg, France). The project: We are interested in understanding how the basal ganglia and the cerebellum interact during a sensori-motor task. To this end we use both experimental data (multiunit activity and behavior) and computational models. On one hand we will record multiunit neuronal activity in the cerebellum and basal ganglia while animals perform a motor task. On the other hand we will use computational models to understand how activity in one brain region affects the representation of task related activity in the other area. What are we looking for: - Phd in neuroscience (or Physics/Maths/Engineering) - Strong track record - Experience in computational modelling of biological neuronal networks and neural data analysis - Willingness to learn to perform extracellular recording in awake behaving animals Where: The candidate will be hired at the University of Strasbourg, USIAS, France. The candidate will be based at the Isope Lab . But s/he will work in close contact with Dr. Kumar who will spend considerable time in Strasbourg in the next two years. Moreover, the candidate will have the opportunity to spend time in Kumar Lab in Stockholm, Sweden. Tentative start date: Sept. 2022 Application documents: Please provide following documents in your application package - Detailed CV - Summary of ongoing and previous research (1-2 pages ) - Future research plans and explain why you want to study cerebellum basal ganglia interactions (1-2 pages) - Name and contact information of at least two referees. *Application deadline: 15 June 2022 * Application submission: Please email your application document to arvindku at kth.se About the supervisors: Arvind Kumar: He is an associate professor at KTH Stockholm, Sweden. He has extensive experience in modelling biological neuronal network. His research group is interested in understanding information flow in the brain, how neuronal networks interact. His More info: https://arvkumar.github.io/ and https://www.kth.se/profile/arvindku Philippe Isope: He is a leading expert in cerebellum electrophysiology. His group is interested in understanding how cerebellar microcircuits shape brain function in both healthy and pathological states. More info. : https://inci-en.u-strasbg.fr/?page_id=432 -- Dr. Arvind Kumar Computational Brain Science, Div. of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm Lindstedtsv?gen 5. 114 28 Stockholm, Sweden. Ph. No. +46-8790-6224 Web: https://www.kth.se/profile/arvindku/ https://arvkumar.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksharma.raj at gmail.com Fri May 13 03:10:35 2022 From: ksharma.raj at gmail.com (Raj Sharma) Date: Fri, 13 May 2022 12:40:35 +0530 Subject: Connectionists: ACML 2022 -- Second Call for Papers | OAMLS @ ACML Message-ID: **apologies if you have received multiple copies of this email* ------------------------------------------------------------------------------ *ACML 2022* The 14th Asian Conference on Machine Learning Hyderabad, India December 14-16, 2022 https://www.acml-conf.org/2022/ ------------------------------------------------------------------------------ *CALL FOR PAPERS* The 14th Asian Conference on Machine Learning (ACML 2022) will take place between December 14-16, 2022 at Hyderabad, India. The conference aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progress and achievements. While the main conference paper presentations will remain virtual to encourage widespread participation in current times, the conference will also have physical components to allow in-person interaction for those who can attend. The conference calls for high-quality, original research papers in the theory and practice of machine learning. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in machine learning. We encourage submissions from all parts of the world, not only confined to the Asia-Pacific region. The conference runs two publication tracks: authors may submit either to the: 1. *conference track* (16-page limit with references), for which the proceedings will be published as a volume of Proceedings of Machine Learning Research Workshop and Conference Proceedings (PMLR), or 2. *journal track* (20-page limit with references) for which accepted papers will appear in a special issue of the Springer Machine Learning Journal (MLJ). Please refer to http://www.acml-conf.org/2022/ for more details. Instructions for submission and LaTeX templates will be available soon (at least one month before the first deadline). *IMPORTANT DATES * (subject to minor changes in case there are conflicts with timelines of other major ML conferences) Conference Track - 23 Jun 2022 Submission deadline - 11 Aug 2022 Reviews released to authors - 18 Aug 2022 Author rebuttal deadline - 08 Sep 2022 Acceptance notification - 29 Sep 2022 Camera-ready submission deadline Journal Track - 26 May 2022 Submission deadline - 07 Jul 2022 1st round review results (accept, minor revision, or reject) - 11 Aug 2022 Revised manuscript submission deadline (for minor revision papers) - 08 Sep 2022 Acceptance notification - 29 Sep 2022 Camera-ready submission deadline *TOPICS OF INTEREST include but are not limited to:* General machine learning - Active learning - Dimensionality reduction - Feature selection - Graphical models - Imitation Learning - Latent variable models - Learning for big data - Learning from noisy supervision - Learning in graphs - Multi-objective learning - Multiple instance learning - Multi-task learning - Online learning - Optimization - Reinforcement learning - Relational learning - Semi-supervised learning - Sparse learning - Structured output learning - Supervised learning - Transfer learning - Unsupervised learning - Other machine learning methodologies Deep learning - Attention mechanism and transformers - Deep learning theory - Generative models - Deep reinforcement learning - Architectures - Other topics in deep learning Probabilistic Methods - Bayesian machine learning - Graphical models - Variational inference - Gaussian processes - Monte Carlo methods Theory - Computational learning theory - Optimization (convex, non-convex) - Bandits - Game theory - Matrix/Tensor methods - Statistical learning theory - Other theories Datasets and Reproducibility - ML datasets and benchmarks - Implementations, libraries - Other topics in reproducible ML research - Trustworthy Machine Learning - Accountability/Explainability/Transparency - Causality - Fairness - Privacy - Robustness - Other topics in trustworthy ML Applications - Bioinformatics - Biomedical informatics - Collaborative filtering - Computer vision - COVID-19 related research - Healthcare - Human activity recognition - Information retrieval - Natural language processing - Social networks - Web search - Climate science - Social good - Other applications *OAMLS @ ACML*: Besides a program of tutorials and workshops, this year we will continue the Online Asian Machine Learning School (OAMLS) as part of ACML (dates to be finalized, likely to be around the ACML conference dates, held virtually). OAMLS aims to help prepare the next generation of machine learning researchers and practitioners by providing them with knowledge of machine learning fundamentals as well as state-of-the-art advances. It focuses on participants in the Asia-Pacific region; the virtual format, supported by ever-improving communication technologies, allows affordable participation from students and practitioners from a large part of the region, including those from under-represented areas, who may otherwise be unable to afford travel to a physical international school. -------------- next part -------------- An HTML attachment was scrubbed... URL: From benjamin.paassen at hu-berlin.de Fri May 13 06:50:35 2022 From: benjamin.paassen at hu-berlin.de (Benjamin Paassen) Date: Fri, 13 May 2022 12:50:35 +0200 Subject: Connectionists: (Senior) Researcher Positions for ML and NLP for Educational Technology @ DFKI Berlin In-Reply-To: References: Message-ID: <1e183a1f-cf2e-919b-a826-c88216a95b3a@hu-berlin.de> Dear colleagues, at the Educational Technology Lab of the German Research Institute for Artificial Intelligence (DFKI) in Berlin, we are hiring *two researchers*, one for machine learning (especially real-time sensor data, adaptive teaching technologies), and one for natural language processing (especially automated essay scoring). Contracts are for *two years*. We offer researcher positions for applicants with a Master's degree or senior researcher positions for applicants with a PhD. For details, please refer to: * ML position: https://jobs.dfki.de/en/vacancy/en-seniorresearcher-for-nlp-483373.html * NLP position: https://jobs.dfki.de/en/vacancy/en-seniorresearcher-for-nlp-483366.html We are looking forward to your applications! Best wishes Benjamin Paa?en From hussain.doctor at gmail.com Fri May 13 06:55:00 2022 From: hussain.doctor at gmail.com (Amir Hussain) Date: Fri, 13 May 2022 11:55:00 +0100 Subject: Connectionists: UK EPSRC COG-MHEAR: Two postdoctoral research fellowships (22 May closing date) & invite to IEEE EMBC 2022 Workshop Message-ID: Dear all: ***Closing date for both posdoctoral fellowships now 22 May 2022*** Please see below and help circulate as appropriate - thank you very much in advance. (1) The UK EPSRC funded COG-MHEAR research programme is recruiting two postdoctoral research fellows based at Edinburgh Napier University - please see application details below. COG-MHEAR Research Fellow post 1 (for up to 39 months - closing date extended till 22nd May 2022): https://www.s1jobs.com/job/research-fellow-cog-mhear-63666718 COG-MHEAR Research Fellow post 2 (for up to 30 months - closing date: 22nd May 2022): https://www.s1jobs.com/job/research-fellow-cog-mhear-63666724 (2) COG-MHEAR Workshop at IEEE EMBC 2022, Glasgow 11-15 July 2022 Don't miss our forthcoming COG-MHEAR Workshop on ?Challenges and Opportunities in Developing Multi-Modal, Transformative Hearing Assistive Technologies? being held as part of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2022, in Glasgow, Scotland, UK, 11-15 July 2022 (https://embc.embs.org/2022/ ) Workshop Synopsis: Hearing loss affects at least 1.5 billion people globally and is associated with poorer health and social outcomes. The World Health Organisation (WHO) estimates 83% of people who could benefit from hearing aids (HAs) do not use them. Barriers to HA uptake are multifaceted but can include: social stigma; cost; a lack of understanding of hearing loss interventions; and limitations of current HA technology. Limited research developments in speech enhancement have been implemented into commercially available HAs. However, even sophisticated aids remain ineffective in very noisy environments where human performance is known to be dependent upon input from both the aural and visual senses. Creating multi-modal HAs that draw on the principles of normal, visually-assisted, hearing raises many technical and usability challenges which need to be tackled holistically. For example, making use of lip movements or facial expressions traditionally requires a video camera filming the speaker, which introduces questions of privacy. Ambitious solutions to these challenges include exploring the use of radio signals for remote monitoring and designing all processing to be done on the hearing device itself to minimise latency and increase privacy. This interdisciplinary workshop will be facilitated by leading academic and industry experts who will showcase a hands-on demonstration of a first of its kind real-time, multi-modal speech enhancement prototype that can exploit lip reading cues to effectively enhance speech in real noisy environments. The workshop will serve to stimulate discussions on current trends, future research and innovation, clinical evaluation and commercialisation challenges and opportunities to transform the current HA landscape. The prototype demonstrator will be made freely available as an open testbed for further research, evaluation and benchmarking by participants, who will also benefit from interdisciplinary networking and collaboration opportunities. You can register for our Workshop (number 29) via the EMBC website: https://embc.embs.org/2022/workshops-2/ We hope to see you soon. Kindest regards Amir --- Professor Amir Hussain Programme Director: EPSRC COG-MHEAR (http://cogmhear.org) School of Computing Edinburgh Napier University Edinburgh EH10 5DT Scotland, UK E-mail: A.Hussain at napier.ac.uk https://www.napier.ac.uk/people/amir-hussain -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri May 13 13:57:26 2022 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 13 May 2022 10:57:26 -0700 Subject: Connectionists: NEURAL COMPUTATION - May 1, 2022 In-Reply-To: Message-ID: Neural Computation - Volume 34, Number 5 - May 1, 2022 Available online for download now: http://www.mitpressjournals.org/toc/neco/34/5 http://cognet.mit.edu/content/neural-computation ----- Articles Understanding the Computational Demands Underlying Visual Reasoning Mohit Vaishnav, Remi Cadene, Andrea Alamia, Drew Linsley, Rufin VanRullen, and Thomas Serre Direct Discriminitive Decoder Models for Analysis of High-Dimensional Dynamical Neural Data Ali Yousefi, Mohammad Reza Rezaei, Alex E. Hadjinicolaou, Sydney Cash, and Uri Eden Note On Neural Network Kernels and the Storage Capacity Problem Cengiz Pehlevan, Jacob Zavatone-Veth Letters Inference of Multiplicative Factors Underlying Neural Variability in Calcium Imaging Data Geoffrey J Goodhill, Marcus A. Triplett Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling Huajin Tang, Shuang Lian, Qianhui Liu, Rui Yan, and Gang Pan Principal Component Analysis for Gaussian Process Posteriors Hideaki Ishibashi, Shotaro Akaho eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems illia horenko, Edoardo Vecchi, Lukas Pospisil, Terence O'Kane, and Steffen Albrecht Graph Clustering With Graph Capsule Network Han Liu, Xianchao Zhang, Jie Mu, Xiaotong Zhang, Linlin Zong, and Guanglu Wang ----- 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 ----- fg From marcin at amu.edu.pl Fri May 13 13:22:40 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 13 May 2022 19:22:40 +0200 Subject: Connectionists: Call for Position Papers: FedCSIS 2022 -- CORE Ranked B, IEEE: #54150 -- -- hybrid conference -- deadline 7. 6. 2022 In-Reply-To: References: Message-ID: CALL FOR POSITION PAPERS 17th Conference on Computer Science and Intelligence Systems (FedCSIS?2022) HYBRID CONFERENCE -- Sofia, Bulgaria, 4-7 September, 2022 (CORE B Ranked, IEEE: #54150) www.fedcsis.org Strict submission deadline (position papers): June 7, 2022, 23:59:59 AoE (no extensions) ************************** COVID-19 Information ************************ Conference will take place in Sofia Bulgaria, for those who will be able to make it there. For those who will not be able to reach Sofia, online participation will be made available. ************************************************************************ Please feel free to forward this announcement to your colleagues and associates who could be interested in it. The FedCSIS 2022 Federated Conference invites submissions of POSITION PAPERS to its respective events. Position papers must not exceed 8 pages and they should relate to an ongoing research or experience. Position papers will be presented by the authors alongside regular papers. Position papers may be also submitted as DEMO PAPERS and presented as demonstrations of software tools and products. They should describe non-for-profit software tools in a prototype-, alpha-, or beta-version. We invite TWO TYPES OF POSITION PAPERS: - EMERGING RESEARCH PAPERS present preliminary research results from work-in-progress based on sound scientific approach but presenting work not completely validated as yet. They must describe precisely the research problem and its rationale. They must also define the intended future work including the expected benefits from solution to the tackled problem. - CHALLENGE PAPERS propose and describe research challenges in theory or practice of computer science and information systems. The papers in this category must be based on deep understanding of existing research or industrial problems and should be defining new promising research directions. FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2022 consists of five conference Tracks, hosting Technical Sessions: Track 1: Advanced Artificial Intelligence in Applications (17th Symposium AAIA'22) * Artificial Intelligence for Next-Generation Diagnostis Imaging (1st Workshop AI4NextGenDI'22) * Intelligence for Patient Empowerment with Sensor Systems (1st Workshop AI4Empowerment'22) * Intelligence in Machine Vision and Graphics (4th Workshop AIMaViG'22) * Ambient Assisted Living Systems (1st Workshop IntelligentAAL'22) * Personalization and Recommender Systems (1st Workshop PeRS'22) * Rough Sets: Theory and Applications (4th International Symposium RSTA'22) * Computational Optimization (15th Workshop WCO'22) Track 2: Computer Science & Systems (CSS'22) * Actors, Agents, Assistants, Avatars (1st Workshop 4A'22) * Computer Aspects of Numerical Algorithms (15th Workshop CANA'22) * Concurrency, Specification and Programming (30th Symposium CS&P'22) * Multimedia Applications and Processing (15th International Symposium MMAP'22) * Scalable Computing (12th Workshop WSC'22) Track 3: Network Systems and Applications (NSA'22) * Complex Networks - Theory and Application (1st Workshop CN-TA'22) * Internet of Things - Enablers, Challenges and Applications (6th Workshop IoT-ECAW'22) * Cyber Security, Privacy and Trust (3rd International Forum NEMESIS'22) Track 4: Advances in Information Systems and Technologies (AIST'22) * Data Science in Health, Ecology and Commerce (4th Workshop DSH'22) * Information Systems Management (17th Conference ISM'22) * Knowledge Acquisition and Management (28th Conference KAM'22) Track 5: Software, System and Service Engineering (S3E'22) * Cyber-Physical Systems (9th Workshop IWCPS-8) * Model Driven Approaches in System Development (7th Workshop MDASD'22) * Software Engineering (42th IEEE Workshop SEW-42) Recent Advances in Information Technology (7th Symposium DS-RAIT'22) KEYNOTE SPEAKERS * Krassimir Atanassov Bulgarian Academy of Sciences, Sofia, Bulgaria https://scholar.google.com/citations?hl=pl&user=K-vuWKsAAAAJ * Thomas Blaschke University of Salzburg, Salzburg, Austria https://scholar.google.com/citations?user=kMroJzUAAAAJ * Chris Cornelis Ghent University, Ghent, Belgium https://scholar.google.com/citations?hl=pl&user=ln46HlkAAAAJ * Franco Zambonelli University of Modena e Reggio Emilia, Bologna, Italy https://scholar.google.com/citations?hl=pl&user=zxulxcoAAAAJ DATA MINING COMPETITION -- Predicting the Costs of Forwarding Contracts The topic of this year's data mining competition is prediction of costs related to the execution of forwarding contracts. The data sets will contain multiple years of history of orders appearing on the transport exchange, along with details such as the type of order, basic characteristics of the shipped goods (e.g., dimensions, special requirements), as well as the expected route that a driver will have to cover. The task will be to develop a predictive model that will assess the actual cost of individual orders as accurately as possible (for detailed information see: https://fedcsis.org/2022/aaia/dm). Prizes for best solutions are: ? 1,000 USD for the winning solution (+ the cost of one FedCSIS?2022 registration) ? 500 USD for the 2nd place solution (+ the cost of one FedCSIS?2022 registration) ? 250 USD for the 3rd place solution (+ the cost of one FedCSIS?2022 registration) ZDZISLAW PAWLAK BEST PAPER AWARD The Professor Zdzislaw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS 2022 are eligible to be considered as the award winners. This award will be granted independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2022/zp_award POSITION PAPER SUBMISSION AND PUBLICATION: Position papers will be published as a Volume of the Annals of Computer Science and Information Systems series (https://annals-csis.org/), with an ISBN, ISSN and DOI numbers. The papers will be submitted for indexing to DBLP Computer Science Bibliography and Google Scholar (see, also: https://annals-csis.org/indexation). The Annals-CSIS volume will NOT be placed in the IEEE Digital Library and will NOT be submitted to Clarivate Analytics Web of Science. Authors should submit a position paper in English, carefully checked for correct grammar and spelling, using the on-line submission procedure. The guidelines for paper formatting provided at the conference website ought to be used for all submitted papers. The required submission format is the same as the camera-ready format. Please check, and carefully follow, the instructions and templates provided. Papers that are out of the conference scope of the selected event, or that contain any form of (self)plagiarism will be rejected without reviews. All position papers will be refereed before inclusion in the conference program. IMPORTANT DATES + Position paper submission: June 7, 2022 + Author notification: July 6, 2022 + Final paper submission and registration: July 12, 2022 + Payment (early fee deadline): August 2, 2022 + Conference date: September 4-7, 2022 CHAIRS OF FedCSIS CONFERENCE SERIES Maria Ganzha, Marcin Paprzycki, Dominik Slezak CONTACT FedCSIS at: secretariat at fedcsis.org FedCSIS in Social Media: FedCSIS on Facebook: http://tinyurl.com/FedCSISFacebook FedCSIS on LinkedIN: https://tinyurl.com/FedCSISonLinkedIN FedCSIS on Twitter: https://twitter.com/FedCSIS FedCSIS on XING: http://preview.tinyurl.com/FedCSISonXING ABOUT FedCSIS Conference Series FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and information systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions focused on their scientific and professional interests in computer science and information systems. From yjchoi at cs.ucla.edu Fri May 13 12:53:11 2022 From: yjchoi at cs.ucla.edu (YooJung Choi) Date: Fri, 13 May 2022 09:53:11 -0700 Subject: Connectionists: [CFP] TPM @ UAI 2022: The 5th Workshop on Tractable Probabilistic Modeling Message-ID: ****The 5th Workshop on Tractable Probabilistic Modeling (TPM): **From Theory to Practice (and Back)****** https://tractable-probabilistic-modeling.github.io/tpm2022/ AI and ML systems designed and deployed to support decision-making in the real world need to perform *complex reasoning under uncertainty*. For safety-critical systems, such as applications in healthcare and finance, it is crucial that this reasoning is *reliable*, i.e. either *exact* or coming with approximation guarantees. At the same time, it is important that these guarantees can be carried out *efficiently*. For this, tractable probabilistic models (TPMs) are very appealing because they support reliable and efficient reasoning for a wide range of reasoning scenarios, *by design*. Therefore, it is no wonder that research on modeling and learning different TPMs has been flourishing recently. The variegated TPM spectrum includes models that deliver tractable computation of likelihoods such as *normalizing flow*, *Gaussian processes* and *autoregressive models*; tractable marginals, such as *mixture models*, *bounded-treewidth models*, and *determinantal point processes*; and models supporting more complex reasoning scenarios such as *probabilistic circuits*. As the subtitle of this year?s Workshop proposal suggests, we are particularly interested in bridging the latest theoretical advancements in this spectrum with the burgeoning literature on applying TPMs to real-world problems. In particular, TPMs have been successfully used in image classification, completion and generation, activity recognition, language and speech modeling, verification and diagnosis of physical systems, and more recently in computational life science, e.g., for drug discovery and epidemiology modeling. The workshop will be held *in person* on August 5th, 2022, co-located with UAI 2022 in Eindhoven, Netherlands. *Important Dates* - *Submission deadline: *June 9th, 2022 AoE - *Notification of acceptance: *July 5th, 2022 - *Camera-ready version: *August 12th, 2022 - *Workshop date:* August 5th, 2022 *Topics of interest* Prospective authors are invited to submit *novel research*, *retrospective papers,* or *recently accepted papers* on relevant topics including, but not limited to: - New tractable representations in logical, continuous and hybrid domains - Learning algorithms for TPMs - Theoretical and empirical analysis of tractable models - Connections between TPM classes - TPMs for responsible, robust and explainable AI - Approximate inference algorithms (with guarantees) - Applications of TPMs to real-world problems *Submission Instructions* Original papers and retrospective papers are required to follow the style guidelines of UAI 2022 and should be using the following adjusted template TPM format . Submitted papers should be up to 4 pages long, excluding references. Already accepted papers can be submitted in the format of the venue they have been accepted to. Supplementary material can be put in the same pdf paper (after references); it is entirely up to the reviewers to decide whether they wish to consult this additional material. All submissions must be electronic (through the link below), and must closely follow the formatting guidelines at https://tractable-probabilistic-modeling.github.io/tpm2022/cfp/; otherwise they will automatically be rejected. Reviewing for TPM 2022 is single-blind; i.e., reviewers will know the authors? identity but authors won't know the reviewers' identity. However, we recommend that you refer to your prior work in the third person wherever possible. We also encourage links to public repositories such as GitHub to share code and/or data. *Submission Link:* https://openreview.net/group?id=auai.org/UAI/2022/Workshop/TPM ****Accepted papers will be considered for a** best paper award**** *Organizers* YooJung Choi (UCLA) Eric Nalisnick (University of Amsterdam) Martin Trapp (Aalto University) Fabrizio Ventola (TU Darmstadt) Antonio Vergari (University of Edinburgh) *For any questions, contact us at **tpmworkshop2022 at gmail.com * ****Please consider sharing this CFP in your network**** -------------- next part -------------- An HTML attachment was scrubbed... URL: From r.pascanu at gmail.com Fri May 13 10:32:37 2022 From: r.pascanu at gmail.com (Razvan Pascanu) Date: Fri, 13 May 2022 15:32:37 +0100 Subject: Connectionists: CfP: 1st Workshop on Lifelong Learning Agents (CoLLAs - Workshop Track) 2022 - Deadline June 1st Message-ID: Dear All, Apologies for cross-posting. We invite submissions to the Workshop track of CoLLAs that describe new theory, methodology or new insights into existing algorithms and/or benchmarks. This is a non-archival track of the conference. Topics of submission may include, but are not limited to, Reinforcement Learning, Supervised Learning or Unsupervised Learning approaches for: - Lifelong Learning / Continual Learning - Meta-Learning - Multi-Task Learning - Transfer Learning - Domain Adaptation - Few-Shot Learning - Out-Of-Distribution Generalization - Online Learning The conference also welcomes submissions at the intersection of machine learning and neuroscience and applications of the topics of interest to real-world problems. 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, as well as in-depth analysis of existing methods and concepts. The conference also welcomes submissions at the intersection of machine learning and neuroscience and applications of the topics of interest to real-world problems. This track is non-archival, and we accept submissions of published work within the last year, or works that are currently under review. As well as work in progress and preliminary results. The goal is to disseminate information as fast as possible and to foster communication and collaboration within the community. Key Dates The planned dates are as follows: - Submission deadline: June 1, 2022, 11:59 pm (AoE) - Notifications: June 10, 2022 - Conference dates: August 14-17 2022 - virtual component, August 22-24, 2022 - hybrid component of the event Review Process Papers will receive a light review, focused on correctness of the presented material. Accepted work will be presented as posters during the workshop track of the conference. The reviews process will be hosted on OpenReview with submissions and reviews being private until a decision is made. Physical and Virtual Attendance The CoLLAs organizing committee will prioritize the safety and health of our community. The event will have a purely virtual component between 14th and 17th 2022 and a hybrid component between 22 and 24th of August in Montreal, Canada. Please see more information on the website . Formatting and Supplementary Material Submissions should be in the form of an extended abstract of 4 pages using the single-column CoLLAs format, plus unlimited pages for references and appendices. The appendices should be within the same pdf file as the extended abstract, however an additional zip file can be submitted that can include multiple files of different formats (e.g. videos or code). Note that reviewers are under no obligation to examine the appendix and the supplementary material. For previously published works (within the last year), the original paper can be submitted as is, specifying to which venue the work has been accepted. Please format the paper using the official LaTeX style files that can be found on overleaf here or on github here . We do not support submissions in formats other than LaTeX. Please do not modify the layout given by the style file. For any questions, you can reach us at: contact at lifelong-ml.cc. Submissions will be through OpenReview . Dual Submissions For the workshop track it is ok to have a dual submission. Code of Conduct and Ethics All participants to CoLLAs, including authors, will be required to adhere to CoLLAs code of conduct & ethics. Plagiarism in any form is strictly forbidden as it is an unethical use of privileged information by reviewers, such as sharing it or using it for any other purpose than the reviewing process. All suspected unethical behaviors will be investigated and individuals found violating the rules may face sanctions. Further details about CoLLAs code of conduct, ethics and reproducibility can be found on the website. Complete CFP can be found here: https://lifelong-ml.cc/call_workshop Regards, Doina Precup, Sarath Chandar, Razvan Pascanu CoLLAs 2022 General and Program Chairs https://lifelong-ml.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 14 10:34:52 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 14 May 2022 16:34:52 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: early registration May 17 Message-ID: <952952183.224389.1652538892256@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: May 17, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn 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, Guimar?es and Las Palmas de Gran Canaria. 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, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, 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 Autumn 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 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wolfram Burgard (University of Freiburg), Probabilistic and Deep Learning Techniques for Robot Navigation and Automated Driving Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Daniele Bonacorsi (University of Bologna), [intermediate/advanced] Applied ML for High-Energy Physics Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Nadya Chernyavskaya (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics Peng Cui (Tsinghua University), [introductory/advanced] Towards Out-Of-Distribution Generalization: Causality, Stability and Invariance S?bastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning Shirley Ho (Flatiron Institute), [intermediate] Structured Machine Learning for Simulations Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [intermediate/advanced] Deep Meta-Learning Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Peter Richt?rik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization 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 October 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 October 9, 2022. EMPLOYER SESSION: Organizations 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 organization 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 October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022au/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: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmitra3 at gmail.com Sat May 14 12:41:21 2022 From: pmitra3 at gmail.com (Prasenjit Mitra) Date: Sat, 14 May 2022 18:41:21 +0200 Subject: Connectionists: Research Associates (Ph.D. students) and Post-doctoral Scholar Positions References: <4E863399-FDBA-4480-9DDD-B729E47CB0DE@psu.edu> Message-ID: Seeking applications for Research Associates and Postdoctoral Fellows Multiple research associate positions are available at the L3S Research Centre, Hannover, Germany in the areas of artificial intelligence, especially, applied machine learning, natural language processing, data mining, health informatics, web search, etc. Postdoctoral fellows must have a Ph.D. or close to finishing in the near future. Research associates are typically Ph.D. students (must have an M.S./M.Sc.) but exceptional students with a B.S./B.Sc. may also be considered. For more information see: http://www.l3s.de/en/node/2363 and http://www.l3s.de/en/node/2299 . Interested students/scholars are invited to send their CVs via email or any questions to Prasenjit Mitra (https://scholar.google.com/citations?user=8PbgiPkAAAAJ ) at mitra at l3s.de . -------------- next part -------------- An HTML attachment was scrubbed... URL: From oliver at roesler.co.uk Sat May 14 07:00:50 2022 From: oliver at roesler.co.uk (Oliver Roesler) Date: Sat, 14 May 2022 11:00:50 +0000 Subject: Connectionists: CFP RO-MAN 2022 Workshop on Machine Learning for HRI: Bridging the Gap between Action and Perception Message-ID: <4a73fca8-08e9-a738-825b-83386564b267@roesler.co.uk> *CALL FOR PAPERS* **Apologies for cross-posting** The *full-day virtual* workshop: *Machine Learning for HRI: Bridging the Gap between Action and Perception (ML-HRI)* In conjunction with the *31st IEEE International Conference on Robot and**Human Interactive Communication (RO-MAN) - August 22, 2022??? * Webpage:?https://ml-hri2022.ivai.onl/ *I. Aim and Scope* A key factor for the acceptance of robots as partners in complex and dynamic human-centered environments is their ability to continuously adapt their behavior. This includes learning the most appropriate behavior for each encountered situation based on its specific characteristics as perceived through the robots senors. To determine the correct actions the robot has to take into account prior experiences with the same agents, their current emotional and mental states, as well as their specific characteristics, e.g. personalities and preferences. Since every encountered situation is unique, the appropriate behavior cannot be hard-coded in advance but must be learned over time through interactions. Therefore, artificial agents need to be able to learn continuously what behaviors are most appropriate for certain situations and people based on feedback and observations received from the environment to enable more natural, enjoyful, and effective interactions between humans and robots. This workshop aims to attract the latest research studies and expertise in human-robot interaction and machine learning at the intersection of rapidly growing communities, including social and cognitive robotics, machine learning, and artificial intelligence, to present novel approaches aiming at integrating and evaluating machine learning in HRI. Furthermore, it will provide a venue to discuss the limitations of the current approaches and future directions towards creating robots that utilize machine learning to improve their interaction with humans. *II. Keynote Speakers and Panelists* 1. *Dorsa Sadigh* ? Stanford University ? USA 2. *Oya Celiktutan* ? King's College London ? UK 3. *Stefan Wermter* ? University of Hamburg ? Germany *III. Submission* 1. For paper submission, use the following EasyChair web link: Paper Submission . 2. Use the RO-MAN 2022 format: RO-MAN Papers Templates . 3. Submitted papers should be 4-6 pages for regular papers and 2 pages for position papers. ??? The primary list of topics covers the following points (but not limited to): * Autonomous robot behavior adaptation * Interactive learning approaches for HRI * Continual learning * Meta-learning * Transfer learning * Learning for multi-agent systems * User adaptation of interactive learning approaches * Architectures, frameworks, and tools for learning in HRI * Metrics and evaluation criteria for learning systems in HRI * Legal and ethical considerations for real-word deployment of learning approaches *IV. Important Dates* 1. Paper submission: *June 17, 2022 (AoE)* 2. Notification of acceptance: *August 1, 2022 (AoE)* 3. Camera ready: **August 14, 2022 (AoE)** 4. Workshop: *August 22, 2022* *V. Organizers* 1. *Oliver Roesler* ? IVAI ? Germany 2. *Elahe Bagheri* ? IVAI ? Germany 3. *Amir Aly* ? University of Plymouth ? UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Sat May 14 04:15:31 2022 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Sat, 14 May 2022 10:15:31 +0200 Subject: Connectionists: Updates/extension/multilingual data: Final CFP LivingNER shared task Message-ID: FINAL Call for Participation LivingNER Shared Task (IberLEF2022) Named entity recognition, normalization & classification of species, pathogens, and food https://temu.bsc.es/livingner What?s new: Multilingual Resources and Schedule update The LivingNER track focuses on the automatic detection of species mentions of clinical relevance and their normalization to taxonomy concept identifiers. Key information: - Web: https://temu.bsc.es/livingner/ - Data: https://doi.org/10.5281/zenodo.6376662 - Guidelines: https://doi.org/10.5281/zenodo.6385162 - Registration: https://temu.bsc.es/livingner/registration/ - *Multilingual LivingNER*: https://doi.org/10.5281/zenodo.6376662 LivingNER focuses on the automatic detection of species mentions (humans, plants, animals, insects, pathogens) and their normalization to taxonomy concepts), together with an additional use case track. *Udapte/New - Multilingual Resources:* We have released multilingual data resources to foster the development of tools not only for Spanish but also for content in *English* and Romance languages including: *French*, *Portuguese*, *Italian*, *Romanian* and *Catalan*. *Applications*: The results of LivingNER are expected to be relevant for text mining applied to: - Infectious diseases (and mode of transmission), animal causing injuries, bites - Microorganisms, antibiotic resistance, microbiome - Hospital-acquired infections - Allergies & food (incl. diets, intoxications, certain toxic habits, drug-food interactions) - Epidemiology and family history (contacts, cohabitants, and family members) *Sub-Tracks*: LivingNER is part of the IberLEF 2022 evaluation initiative (co-located with SEPLN 2022), with thee sub-tracks: 1. *LivingNER-Clinical NER*: automatic detection of mentions of species (both human and non-human). 2. *LivingNER-Species Norm*: finding mentions of species and mapping them to their corresponding taxonomy concept identifiers. 3. *LivingNER-Clinical IMPACT*: classifying documents according to clinical relevance (a.pets/farm animals, b. animal causing injuries, c. food, and d. hospital-acquired infections) & detecting evidence for classification. Schedule - Test set release (start of evaluation period): April 22nd, 2022 - End of the evaluation period (system submissions): June 12, 2022 - Working papers submission: June 24, 2022 - Notification of acceptance (peer-reviews): July 4, 2022 - Camera-ready system descriptions: July 11, 2022 - IberLEF @ SEPLN 2022: September 2022 Publications and workshop Participants will be invited to contribute a systems description paper for the IberLEF (SEPLN 2022) proceedings and to give a short presentation at the IberLEF workshop. Main Organizers - Martin Krallinger, Barcelona Supercomputing Center, Spain - Eul?lia Farr?, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Antonio Miranda-Escalada, Barcelona Supercomputing Center, Spain Scientific Committee - Tome Eftimov, Jo?ef Stefan Institute, Ljubljana, Slovenia - Irena Spasic, School of Computer Science & Informatics, co-Director of the Data Innovation Research Institute, Cardiff University, UK - Kirk Roberts, School of Biomedical Informatics, University of Texas Health Science Center, USA - Felipe Bravo, Assistant Professor, University of Chile, Chile - Karin Verspoor, School of Computing and Information Systems, Health and Biomedical Informatics Centre, University of Melbourne, Australia - Tristan Naumann, Microsoft Research Healthcare NExT, USA - Claire N?dellec, University Paris-Saclay, INRAE - Enea Parimbelli, Assistant Professor at University of Pavia, Italy - Casimiro Pio Carrino, Research Engineer at Barcelona Supercomputing Center, Spain - Zhiyong Lu, Deputy Director for Literature Search, National Center for Biotechnology Information (NCBI), USA - Ashish Tendulkar, Google Research - Rosa Estop? Bagot, Universitat Pompeu Fabra, Spain - Carlos Luis Parra Calder?n, Head of Technological Innovation, Virgen del Roc?o University Hospital, Institute of Biomedicine of Seville, Spain - Thierry Declerck, Senior Consultant at DFKI GmbH, Germany - Ernestina Menasalvas, Universidad Polit?cnica de Madrid, Spain - Koldo Gojenola, University of the Basque Country, Spain - Aur?lie N?v?ol, LIMSI-CNRS, Universit? Paris-Sud, France - Giorgio Maria Di Nunzio, University of Padua, Italy - An?lia Louren?o, Universidade de Vigo, Spain - Frank Emmert-Streib, Tampere University, Finland - Pablo Serrano, Planning Director at Hospital 12 de Octubre, Spain - Yoan Guti?rre, University of Alicante, Spain - Vasile P?i?, Research Institute for Artificial Intelligence "Mihai Dr?g?nescu", Romanian Academy - Enrique Carrillo de Santa Pau,IMDEA Food Institute, Spain ======================================= Martin Krallinger, Dr. Head of Biological Text Mining Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ ======================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Sat May 14 11:42:36 2022 From: suashdeb at gmail.com (Suash Deb) Date: Sat, 14 May 2022 21:12:36 +0530 Subject: Connectionists: For ISCMI22 (Toronto) Message-ID: Dear esteemed colleagues, This is a gentle reminder that the paper submission deadline for 2022 9th ISCMI is exactly one and half month away http://iscmi.us Will look forward to receiving quality manuscripts from you as well as your peers and students in the coming days. Thank you. Stay safe and with kind regards, Suash Deb General Chair, ISCMI 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.goodhill at wustl.edu Sat May 14 10:36:57 2022 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Sat, 14 May 2022 14:36:57 +0000 Subject: Connectionists: Postdoc positions in modeling/analysis for understanding sleep Message-ID: POSTDOC POSITIONS IN MODELING/ANALYSIS FOR UNDERSTANDING SLEEP OVERVIEW. A new NIH-funded collaboration between David Prober (Caltech), Thai Truong (USC) and Geoff Goodhill (Washington University in St Louis) aims to gain new insight into the neural circuits underlying sleep, through a combination of whole-brain neural recordings in zebrafish and theoretical/computational modeling. The Goodhill lab is now looking for 2 postdocs for the modeling and computational analysis components. PROJECT DETAILS. Using novel 2-photon imaging technologies Prober and Truong will record from the entire larval zebrafish brain at single-neuron resolution continuously for long periods of time, examining neural circuit activity during normal day-night cycles and in response to genetic and pharmacological perturbations. The Goodhill lab will analyze the resulting huge datasets using a variety of sophisticated computational approaches, and use these results to build new theoretical models that reveal how neural circuits interact to govern sleep. Theoretical and experimental work will be intimitely linked. APPLICANT PROFILE. Applicants for the positions in the Goodhill lab should have a strong background in mathematics/theory/computation applied to biological problems. Experience in modeling sleep processes is desirable but not required. LAB ENVIRONMENT. The Goodhill lab is an interdisciplinary environment of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating to neural development. The lab both performs its own behavioral and neural imaging experiments with larval zebrafish, and collaborates on the analysis of data generated elsewhere. UNIVERSITY ENVIRONMENT. Washington University in St Louis is ranked in the top 10 institutions globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for research in neuroscience. In 2023 the Goodhill lab will move along with over 100 other labs into Washington University's new start-of-the-art 600,000 sq ft Neuroscience Research Building (https://neuroscience.wustl.edu/research/neuroscience-building). For more information about St Louis see https://explorestlouis.com. To apply please send a detailed CV and cover letter explaining your interest in the positions to g.goodhill at wustl.edu. Review of applications will continue until the positions are filled. Professor Geoffrey J Goodhill Departments of Developmental Biology, Neuroscience, Biomedical Engineering, and Electrical and Systems Engineering Washington University in St Louis St Louis, MO 63110 https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd Email: g.goodhill at wustl.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From ici2st at epn.edu.ec Sun May 15 18:54:46 2022 From: ici2st at epn.edu.ec (CONFERENCIA INTERNACIONAL ICI2ST) Date: Sun, 15 May 2022 22:54:46 +0000 Subject: Connectionists: ICI2ST: CFP Third International Conference on Information Systems and Software Technologies In-Reply-To: References: Message-ID: Dear colleagues, *** CALL FOR PAPERS - ICI2ST 2022 **** 3rd International Conference on Information Systems and Software Technologies November 8-10, 2022 VIRTUAL EVENT ============================================================== Conference website: https://ici2st.epn.edu.ec/index.php/en/ Submission link: https://easychair.org/conferences/?conf=ici2st2022 Submission deadline June 7, 2022 ============================================================== The 3rd International Conference on Information Systems and Software Technologies (ICI2ST 2022) is organized by the Faculty of Systems Engineering of the National Polytechnic School of Ecuador. This year's event will be held on November 8-10, 2022. IMPORTANT NOTICE: Due to the growing uncertainty over the Omicron variant and the generally negative outlook for the months ahead, the organizing committee has decided to run the conference as a series of online events. ICI2ST aims to bring together researchers, speakers and industry practitioners worldwide who are developing cutting-edge research related to all aspects of Information Systems, Software Technologies, and Applied Computing. LIST OF TOPICS: ============================================================== Paper submissions are invited for ICI2ST 2022 which include, but are not limited to the following topics: - Information Systems - Software Technologies - Security and Privacy - Technology Trends - Social and Professional Topics IMPORTANT DATES: ============================================================== - Paper Submission Deadline: June 7, 2022 - Paper Notification of Acceptance: July 27, 2022 - Camera-Ready Deadline: August 3, 2022 - Authors Registry Deadline: August 5, 2022 - General Registry Deadline: October 31, 2022 - ICI2ST Conference: November 8-10, 2022 STEERING COMMITTEE: ============================================================== Gabriela Suntaxi, Escuela Polit?cnica Nacional, Ecuador Mar?a Hallo, Escuela Polit?cnica Nacional, Ecuador Vijay Varadharajan, University of Newcastle, Australia Sergio Luj?n Mora, Universidad de Alicante, Spain Yamine Ait-Ameur, ENSEEIHT, France SUBMISSION GUIDELINES: ============================================================== ICI2ST 2022 accepts submissions of original, unpublished full research papers and research-in-progress papers, both being of remarkable research quality. Authors can find the submission guidelines at: https://ici2st.epn.edu.ec/index.php/en/call-for-papers PUBLICATION OF PAPERS: ============================================================== The accepted articles will be sent for review and indexing in SCOPUS. An accepted paper must be presented at the conference by one registered author to be included in the proceedings. Past conference proceedings can be accessed via IEEE Xplorer Digital Library at: https://ieeexplore.ieee.org/xpl/conhome/9447318/proceeding CONTACT: ============================================================== Questions and inquiries should be sent to: ici2st at epn.edu.ec Best regards, ICI2ST-2022 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Mon May 16 04:05:21 2022 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Mon, 16 May 2022 17:05:21 +0900 Subject: Connectionists: WI-IAT 2022 Call for Papers Message-ID: [Apologies if you receive this more than once] +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 21st IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '22) November 17-20, 2022, Niagara Falls, Canada A hybrid conference with both online and offline modes Web Intelligence = AI in the Connected World Homepage: https://www.wi-iat.com/wi-iat2022/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - June 1, 2022: Paper Submission Deadline Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society WI-IAT 2022 Special Event: - Web Intelligence Journal Special Issue: 20 Years of Web Intelligence https://www.iospress.com/catalog/journals/web-intelligence * Award Information * - Two Student Travel Awards (US$500 Each) - Two Student Awards (Non-travel) (US$500 Each) - Two Volunteer Awards (US$500 Each) - One Best Paper Award (US$1000) The 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '22) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Web Intelligence and Intelligent Agent Technology research and applications. Academia, professionals and industry people can exchange their ideas, findings and strategies in utilizing the power of human brains and man-made networks to create a better world. More specifically, the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, and emerging Web in health and smart living in the 5G Era. Therefore, the theme of WI-IAT '22 will be ?Web Intelligence = AI in the Connected World?. After the great successful online WI-IAT'20 and hybrid WI-IAT'21 during the global pandemic, WI-IAT'22 will be held in Niagara Falls, Canada, and once again, in the hybrid mode. WI-IAT '22 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. TRACKS AND TOPICS ++++++++++++++++++ Track 1: Web of People * Crowdsourcing and Social Data Mining * Human-Centric Computing * Information Diffusion * Knowledge Community Support * Modelling Crowd-Sourcing * Opinion Mining * People Oriented Applications and Services * Recommendation Engines * Sentiment Analysis * Situational Awareness Social Network Analysis * Social Groups and Dynamics * Social Media and Dynamics * Social Networks Analytics * User and Behavioural Modelling Track 2: Web of Data * Algorithms and Knowledge Management * Autonomy-Oriented Computing (AOC) * Big Data Analytics * Big Data and Human Brain Complex Systems * Cognitive Models * Computational Models * Data-Driven Services and Applications * Data Integration and Data Provenance * Data Science and Machine Learning * Graph Isomorphism * Graph Theory * Information Search and Retrieval * Knowledge Graph * Knowledge Graph and Semantic Networks * Linked Data Management and Analytics * Self-Organizing Networks * Semantic Networks * Sensor Networks * Web Science Track 3: Web of Things * Complex Networks * Distributed Systems and Devices * Dynamics of Networks * Industrial Multi-Domain Web * Intelligent Ubiquitous Web of Things * IoT Data Analytics * Location and Time Awareness * Open Autonomous Systems * Streaming Data Analysis * Web Infrastructures and Devices Mobile Web * Wisdom Web of Things (W2T) Track 4: Web of Trust * Blockchain analytics and technologies * Fake content and fraud detection * Hidden Web Analytics * Monetization Services and Applications * Trust Models for Agents * Ubiquitous Computing * Web Cryptography * Monetization services and applications * Web safety and openness Track 5: Web of Agents * Agent Networks * Autonomy Remembrance Agents * Autonomy-oriented Computing * Behaviour Modelling * Distributed Problem-Solving Global Brain * Edge Computing * Individual-based Modelling Knowledge * Information Agents * Local-Global Behavioural Interactions * Mechanism Design * Multi-Agent Systems * Network Autonomy Remembrance Agents * Self-adaptive Evolutionary Systems * Self-organizing Systems * Social Groups and Dynamics Special Track: Emerging Web in Health and Smart Living * Big Data in Medicine * City Brain and Global Brain * Digital Ecosystems * Digital Epidemiology * Health Data Exchange and Sharing * Healthcare and Medical Applications and Services * Omics Research and Trends * Personalized Health Management and Analytics * Smart City Applications and Services * Time Awareness and Location Awareness Smart City * Wellbeing and Healthcare in the 5G Era IMPORTANT DATES +++++++++++++++ May 31, 2022: Workshop Proposal Submission June 1, 2022: Full Papers Submission July 20, 2022: Paper Acceptance Notification July 20, 2022: Early Registration Opens August 7, 2022: Camera-ready Submission November 17, 2022: Workshops and Special Sessions November 18-20, 2022: Main Conference PAPER SUBMISSION ++++++++++++++++ Papers must be submitted electronically via CyberChair in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. URL: https://wi-lab.com/cyberchair/2022/wi22/scripts/submit.php?subarea=WI Organization Structure ++++++++++++++++++++++ General Chairs * Gabriella Pasi, University of Milano-Bicocca, Italy * Jimmy Huang, York University, Canada * Jie Tang, Tsinghua University, China * Christopher W. Clifton, Purdue University, USA Program Committee Chairs * Jiashu Zhao, Wilfrid Laurier University, Canada * Ebrahim Bagheri, Ryerson University, Canada * Norbert Fuhr, University of Duisburg-Essen, Germany * Atsuhiro Takasu, National Institute of Informatics, Japan * Yixing Fan, Chinese Academy of Sciences, China Local Organizing Chairs * Mehdi Kargar, Ryerson University, Canada * George J. Georgopoulos, York University, Canada Workshop/Special Session Chairs * Hiroki Matsumoto, Maebashi Institute of Technology, Japan * Ameeta Agrawal, Portland State University, USA * Cathal Gurrin, Dublin City University, Ireland * Chao Huang, University of Hong Kong, China Tutorial Chair * Vivian Hu, Ryerson University, Canada Industry Chairs * Stephen Chan, Dapasoft, Canada * Long Xia, Baidu, China Publicity Chairs * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Yang Liu, Wilfrid Laurier University, Canada * Yan Ge, University of Bristo, UK WIC Steering Committee Chairs * Ning Zhong, Maebashi Institute of Technology, Japan * Jiming Liu, Hong Kong Baptist University, HK, China WIC Executive Secretary * Xiaohui Tao, University of Southern Queensland, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From crpalmec7 at alumnes.ub.edu Mon May 16 04:45:52 2022 From: crpalmec7 at alumnes.ub.edu (=?iso-8859-3?Q?CRISTINA_PALMERO_CANTARI=D1O?=) Date: Mon, 16 May 2022 08:45:52 +0000 Subject: Connectionists: [CfP - Deadline Extended] Workshop on Human Behavior Understanding (HBU) @ ICPR 2022 In-Reply-To: References: Message-ID: [Apologies for cross-posting] *********************************************************************************************** CALL FOR PAPERS - DEADLINE EXTENDED - HBU 2022 12th International Workshop on Human Behavior Understanding (HBU) Focus theme: Applications for Clinical and Behavioral Sciences Held in conjunction with ICPR 2022 Workshop website: https://www.cmpe.boun.edu.tr/hbu/2022/ Paper submission deadline: June 6th, 2022 [EXTENDED] Notifications: July 6th, 2022 [EXTENDED] Camera-ready submission deadline: September 6th, 2022 [UPDATED BY ICPR ORGANIZERS] Workshop: August 21st, 2022 *********************************************************************************************** ORGANIZERS Albert Ali Salah, Universiteit Utrecht, Netherlands, and Bo?azi?i University, Turkey Sergio Escalera, Universitat de Barcelona and Computer Vision Center, Spain Cristina Palmero, Universitat de Barcelona and Computer Vision Center, Spain Henning M?ller, HES-SO, Switzerland Hugo Jair Escalante, Instituto Nacional de Astrof?sica, ?ptica y Electr?nica, M?xico ABOUT Domains for human behavior understanding (e.g. multimedia, human-computer interaction, robotics, affective computing and social signal processing) predominantly rely on advanced pattern recognition techniques to automatically interpret complex behavioral patterns generated when humans interact with machines or with other agents. This is a challenging research area where many issues are still open, including the joint modeling of behavioral cues taking place at different time scales, the inherent uncertainty of machine detectable evidences of human behavior, the mutual influence of people involved in interactions, the presence of long term dependencies in observations extracted from human behavior, and the important role of dynamics in human behavior understanding. For clinical and behavioral sciences, not only accurate behavior analysis is essential, but further aspects like explainability, privacy-aware processing, and fairness are often required. The development of explainable and interpretable models for social behavior analysis would result in more trustable solutions that could be adopted by domain experts for informed decision making. Furthermore, public datasets are often difficult to obtain and share in a privacy-aware manner (particularly during Covid-19), which hampers scientific progress. This workshop, organised as part of ICPR 2022, will gather researchers dealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of relational attitudes, performance of individual or joint actions, etc.), with particular attention to clinical settings and tools usable for behavioral scientists. Examples of challenges are automatic labeling, annotation, and reporting systems, datasets acquired from real or simulated clinical conditions, systems that focus on the analysis of interaction dynamics, early diagnosis and intervention systems, augmented telepresence, personalized agents, and multimodal approaches. The HBU workshops, previously organized as satellite events to major conferences in different disciplines (ICPR'10, AMI'11, IROS'12, ACMMM'13, ECCV'14, UBICOMP'15, ACMMM'16, FG'18, ECCV'18, ICCV'19, WACV'21) have a unique aspect of fostering cross-pollination of disciplines, bringing together researchers from a variety of fields, such as computer vision, pattern recognition, HCI, artificial intelligence, interaction design, ambient intelligence, social signal processing, psychology, and robotics. The diversity of human behavior, the richness of multimodal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform. TOPICS OF INTEREST The topics for submission include all papers relevant to the automatic analysis and modeling of human behavior. These include, but are not limited to: * Applications of human behavior analysis for clinical and behavioral sciences * Explainable and interpretable models for the analysis of human behavior * Detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics * Verbal / nonverbal communication analysis * Contextual analysis in interpersonal interactions * Datasets, annotation protocols and bias discovering/mitigation methods * Multimodal human behavior analysis * Fairness in human behavior analysis * Privacy-aware processing of human behavior * Clinical datasets and validity * Social behaviour analysis * Affective computing * Human-computer interaction * Behavioral biometrics INVITED SPEAKERS Juan Wachs, Purdue University, USA Ehsan Hoque, University of Rochester, USA Rich Caruana, Microsoft Research, USA PAPER SUBMISSION Submission instructions can be found at https://www.cmpe.boun.edu.tr/hbu/2022/submission.html Please feel free to reach out for further details. Albert Ali Salah, Sergio Escalera, Cristina Palmero, Henning M?ller, Hugo Jair Escalante HBU 2022 Organizers Aquest missatge, i els fitxers adjunts que hi pugui haver, pot contenir informaci? confidencial o protegida legalment i s'adre?a exclusivament a la persona o entitat destinat?ria. Si no consteu com a destinatari final o no teniu l'enc?rrec de rebre'l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si l'heu rebut per error, informeu-ne el remitent i elimineu del sistema tant el missatge com els fitxers adjunts que hi pugui haver. Este mensaje, y los ficheros adjuntos que pueda incluir, puede contener informaci?n confidencial o legalmente protegida y est? exclusivamente dirigido a la persona o entidad destinataria. Si usted no consta como destinatario final ni es la persona encargada de recibirlo, no est? autorizado a leerlo, retenerlo, modificarlo, distribuirlo o copiarlo, ni a revelar su contenido. Si lo ha recibido por error, informe de ello al remitente y elimine del sistema tanto el mensaje como los ficheros adjuntos que pueda contener. This email message and any attachments it carries may contain confidential or legally protected material and are intended solely for the individual or organization to whom they are addressed. If you are not the intended recipient of this message or the person responsible for processing it, then you are not authorized to read, save, modify, send, copy or disclose any part of it. If you have received the message by mistake, please inform the sender of this and eliminate the message and any attachments it carries from your account. -------------- next part -------------- An HTML attachment was scrubbed... URL: From natalia.tomashenko at univ-avignon.fr Mon May 16 08:44:56 2022 From: natalia.tomashenko at univ-avignon.fr (Natalia Tomashenko) Date: Mon, 16 May 2022 14:44:56 +0200 Subject: Connectionists: VoicePrivacy 2022 Challenge in conjunction with INTERSPEECH 2022 Message-ID: <556dd65f-8be6-92e8-1b8e-8a5d8762b205@univ-avignon.fr> *VoicePrivacy 2022 Challenge* http://www.voiceprivacychallenge.org * Challenge paper submission deadline: *15 June 2022* * Results and system description submission deadline:*31 July 2022* * ISCA workshop (Incheon, Korea in conjunction with INTERSPEECH 2022 ): *23-24 September 2022* --------------------------------------------------------------------------------------------------------------- Dear colleagues, registration for the *VoicePrivacy 2022 Challenge*?continues! The task is to develop a voice anonymization system for speech data which conceals the speaker?s voice identity while protecting linguistic content, paralinguistic attributes, intelligibility, and naturalness. *The* *VoicePrivacy 2022 Challenge Evaluation Plan:* https://www.voiceprivacychallenge.org/vp2020/docs/VoicePrivacy_2022_Eval_Plan_v1.0.pdf *VoicePrivacy 2022* is the second edition, which will culminate in a joint workshop held in Incheon, Korea in conjunction with *INTERSPEECH 2022* **and in cooperation with the *ISCA Symposium on Security and Privacy in Speech Communication* . *Registration: *Participate | VoicePrivacy 2022 *Subscription: *Participate | VoicePrivacy 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Mon May 16 08:32:26 2022 From: info at incf.org (INCF) Date: Mon, 16 May 2022 14:32:26 +0200 Subject: Connectionists: New publication from the INCF Infrastructure Committee Message-ID: The INCF Infrastructure Committee?s ?Recommendations for repositories and science gateways from a neuroscience perspective? has been published today, May 16, as a Comment in Scientific Data . The project, initiated by the INCF Infrastructure Committee, aimed to develop an inclusive set of criteria that could apply to a wide and diverse range of digital services, including repositories, science gateways, data, and software. ?We set out to develop criteria that were specific to neuroscience, but we realized during the process that our end result would be applicable to other data-heavy disciplines as well?, says Malin Sandstr?m, coordinator for the Infrastructure Committee. ?When you look at the problem closely, it turns out that many of the criteria have to do with best practices for how a service is run and governed, rather than with which types of data and other content it contains?. The work began in October 2020. A draft version was presented to the community at the INCF Assembly in April 2021, in a workshop with representatives from organizations engaged in similar projects, including FAIRSharing, FORCE11, and the Coalition of Open Access Repositories (COAR). A public first version of the criteria checklist was made available on the INCF portal in late 2021. With these criteria, INCF wants to help neuroscience researchers and students choose good services for their specific use cases and help service providers make good and future-proof decisions for setup and operations. Former Chair Wojtek Goscinski, now Chief Executive Officer at the Australian National Imaging Facility, explains: ?Data repositories and scientific gateways are critical, but often underappreciated, components in the scientific workflow. It?s important that researchers can navigate the digital landscape to find the services that they need and to understand which services are fit-for-purpose. Likewise, repositories and gateways have increasing obligations to their users?. The recommendations published in the Comment are intended to guide users through the reasoning and considerations that went into the criteria development process. Read more: Workshop report Public first version criteria Blog post -------------- next part -------------- An HTML attachment was scrubbed... URL: From tiako at ieee.org Mon May 16 12:47:20 2022 From: tiako at ieee.org (Pierre F. Tiako) Date: Mon, 16 May 2022 11:47:20 -0500 Subject: Connectionists: CFP: 2022 OkIP Intl Conf on Automated and Intelligent Systems, Oct 3-6, Oklahoma City, OK, USA Message-ID: [Apologies for cross-posting] --- Call for Abstracts and Papers ------------- 2022 OkIP International Conference on Automated and Intelligent Systems (CAIS) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 https://eventutor.com/e/CAIS002 OkIP Published & SCOPUS/WoS Indexed Submission Deadline: July 11, 2022 CAIS aims to bring together scholars from different disciplinary backgrounds to emphasize disseminating ongoing research and development in the field. Proposals are solicited describing original works in the fields below and related technologies. CAIS will include a peer-reviewed program of technical, industrial, and poster sessions. Accepted and presented full papers from the tracks below will be published in the conference proceedings and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of the best papers will be considered for journal publication. >> AI, Machine Learning (ML), and Applications - General ML | Active/Supervised Learning - Clustering/Unsupervised Learning - Online Learning | Learning to rank - Reinforcement Learning | Deep Learning(DL) - Semi/Self Supervised Learning - Time Series Analysis | Prediction/Forecasting - DL Architectures/Generative-Models - Deep Reinforcement Learning - Computational Learning Theory - Bandit/Game/Statistical-Learning Theory - Optimization Methods and Techniques - Convex/Non-Convex Optimization - Matrix/Tensor Methods - Stochastic/Online Optimizations - Non-Smooth/Composite Optimization - Probabilistic Inference | Graphical Models - Bayesian/Monte-Carlo Methods - Trustworthy Machine Learning - ML Accountability/Causality - ML Fairness/Privacy/Robustness - Healthcare/DNA/Transportation - Digital-Economy | Ecommerce Security - Sustainability | Energy | Green Technology - Language | Image - Recommendation Systems >> Agent-based, Automated, and Distributed Supports - Multi-Agent Systems | Software Agents - Decentralized/Distributed Intelligence - Context-Aware Computing - Group Decision Support Systems - Intelligent Structures/Networks - Design/Automation Approaches - Sensor Networks Architectures - Complex Manufacturing Processes - Analytical Models | Path Planning - Multistage Assembly Line - Automated Inspection >> Intelligent Systems and Applications - Medical Nanorobotics | - Sensory/Embedded Systems - Embedded Systems | Digital Manufacturing - Optimization/Evolutionary Algorithms - Bioinformatics/Biotechnology Applications - Computer-Vision Applications - Sensor-Networks Applications - Intelligent Design | Fuzzy Systems - Soft/Ubiquitous Computing - Pervasive/Wearable Computing - Intelligence Manufacturing | Microsatellite - Cyber-physical Systems | Kinematics >> Knowledge-based and Control Supports - Expert/Complex Systems - Decision-Support Systems - Intelligent Control/Supervision Systems - Knowledge Engineering - Neural Networks | Structural Optimization - Intelligent Teleoperation - Intelligent Shopfloor - Collision Avoidance | Fault Diagnosis - Object Detection and Tracking | Path Planning - Position/Quality/Motion Control - Predictive Control - Preventive Maintenance | Defect Detection >> Robotics and Vehicles - Unmanned Vehicles/Robots - Autonomous Vehicles/Robots - Human-Robot Interfaces - Human-Robot Interactions - Intelligent Telerobotics | Service Robots - Robotic Manipulators/Arms - Robotic Applications - Self-Driving Vehicles | Cloud-based Driving - Vehicular ad hoc Networks |Traffic Detection - Vehicle-to-Vehicle Communication - Vehicle Platooning | Steering Systems - Vehicle dynamics | Traffic Computing >> Contribution Types (One-Column IEEE Format Style): OkIP Published & SCOPUS/WoS Indexed - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) >> Important Dates: - Submission Deadline: July 11, 2022 - Notification Due: August 01, 2022 - Camera-ready Due: August 22, 2022 >> Technical Program Committee https://eventutor.com/event/19/page/56-committee Please feel free to contact us for any inquiries at: info at okipublishing.com -------- Pierre Tiako General Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From Alberto.Paccanaro at rhul.ac.uk Mon May 16 18:32:46 2022 From: Alberto.Paccanaro at rhul.ac.uk (Paccanaro, Alberto) Date: Mon, 16 May 2022 22:32:46 +0000 Subject: Connectionists: Open-rank faculty position in Data Science -- School of Applied Mathematics, Fundacao Getulio Vargas, Rio de Janeiro -- deadline June 10, 2022 Message-ID: The School of Applied Mathematics at Funda??o Getulio Vargas (FGV EMAp) in Rio de Janeiro, Brazil, invites applications for one open-rank faculty position in Data Science to strengthen and complement our existing research activity in this area. We are looking for established researchers (associate/full professor) or outstanding young researchers (assistant professor) who have demonstrated research and teaching expertise in Data Science. We will prioritize applicants whose research focuses on natural language processing, computer vision, and scalable computing. The successful candidate is expected to develop an externally funded research programme, publish in high impact journals, supervise research (postgraduate) students, teach at both undergraduate and graduate levels, and provide service to the department and institution. Peer-reviewed external funding is expected to be obtained and sustained. Industrial partnerships are also strongly encouraged. *Qualifications* The successful candidate will hold a Ph.D. in Computer Science or a closely related discipline, at the time of the appointment. At the assistant professor level, the applicant is expected to have a compatible track of publications and strong potential for publishing in top ranked journals. At higher levels (associate or full professor) the applicant is expected to have an established line of research with a strong publication record, proven ability to attract external funding, and an established research network. The successful candidate will also possess excellent communication and presentation skills, being capable of teaching both undergraduate and postgraduate students across our portfolio of Data Science courses. Fluence in Portuguese is desirable, but not required. However, by the end of the second year the applicant may be required to teach in Portuguese. *Start-up package* A generous package is available to provide the necessary resources for starting a successful independent research programme. These include computational infrastructure, lab space as well as postdoctoral positions and graduate-student support. There is also the possibility to apply internally for core-funded projects. During the first year, it will be possible to arrange for a reduced teaching load. *Salary and Benefits* We offer an internationally competitive salary commensurate with level of appointment. Current salaries at FGV EMAp are higher than any similar academic institution in Brazil. The benefits include health and dental plans, support for young children?s education and private pension fund. *Application* Applicants should send their applications to: emap_position at fgv.br including: 1. a cover letter describing their experience, interests, and suitability for the position; 2. a curriculum vitae; 3. teaching statement; 4. research statement; 5. electronic version of their best 3 publications (assistant professor) or best 5 publications (associate or full professor) in the past 5 years Applicants must also arrange for three reference letters to be sent by the referees to emap_position at fgv.br before the deadline. To be considered at the associate or full professor level, the candidate should also include evidence of experience in directing graduate students. Deadline for applications is June 10th, 2022. Selected applicants will be contacted for an interview by June 15th, 2022. Interviews will be scheduled starting from June 20th and will be held in person, when possible. Further enquiries should be sent to Prof. Cesar Camacho, Head of the School, by email emap at fgv.br. *About us* The Funda??o Getulio Vargas (FGV), founded in 1944 in Rio de Janeiro, Brazil, is internationally recognized as one of the 6 most important think tanks in the world and one of the best institutions of higher learning. FGV is consistently ranked as the best institution in South and Central America and the 10th leading institution in the world for the production of applied research with impact on the implementation of public policies; and the 5th in the world in the area of social policies. The School of Applied Mathematics at FGV is a growing department that aspires to be top ranked worldwide. It currently offers undergraduate, M.Sc. and PhD degrees in Applied Mathematics and Data Science. International collaborations and joint research projects are currently ongoing with several research institution in Europe and North America. FGV is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex (including gender identity), national origin, disability status, age, sexual orientation, or any other characteristic protected by law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population. ===================================== Alberto Paccanaro Professor in Machine Learning and Computational Biology Department of Computer Science Royal Holloway, University of London and School of Applied Mathematics Fundacao Getulio Vargas, Rio de Janeiro Homepage: http://www.cs.rhul.ac.uk/home/alberto/ Lab page: http://www.paccanarolab.org This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. From ioannakoroni at csd.auth.gr Tue May 17 09:27:01 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 17 May 2022 16:27:01 +0300 Subject: Connectionists: Invitation for the 2022 Summer e-School on Deep Learning and Computer Vision, 22-26th August 2022, Aristotle University of Thessaloniki, Thessaloniki, Greece References: <00ef01d8692a$b4a33f50$1de9bdf0$@csd.auth.gr> <00f901d869ed$ea0436e0$be0ca4a0$@csd.auth.gr> Message-ID: <029401d869f1$cb1ab6b0$61502410$@csd.auth.gr> Dear Deep Learning, Computer Vision and Autonomous Systems engineers, scientists, and enthusiasts, you are welcomed to register to the 2022 Summer e-School on Deep Learning and Computer Vision: https://icarus.csd.auth.gr/aiia-summer-school-2022 It will take place on 22-26/08/2022 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The summer e-school consists of two short e-courses: a) 'Short Course on Deep Learning and Computer Vision 2022', 22-23rd August 2022, having focus on Computer Vision and Deep Learning for autonomous drones, cars and marine vessels: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-2022/ b) 'Programming short course and workshop on Deep Learning and Computer Vision 2022', 24-26th August 2022, with applications in digital media and autonomous drones: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-2022/ You can follow the above-mentioned links for registration on either or both e-courses. For questions, please contact: Ioanna Koroni < koroniioanna at csd.auth.gr> The first e-course contains 14 live lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels (to be recorded). The second programming short e-course and workshop offers a mix of live lectures and programming workshops (hands-on lab exercises). It aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone imaging/cinematography and digital media applications. Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is chair of the International AI Doctoral Academy (AIDA), AUTH prime investigation for H2020 projects AerialCore and AI4Media, and Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Chair of the IEEE SPS Autonomous Systems Initiative and Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 319 top Computer Science and Electronics Scientist internationally by research.com (202). Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Relevant links: 1. European Horizon2020 R&D projects Aerial-Core: https://aerial-core.eu/, Multidrone: https://multidrone.eu/, AI4Media: https://ai4media.eu/ 2. AIIA Lab: http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el Course descriptions a) 'Short Course on Deep Learning and Computer Vision 2022', 22-23rd August 2022. http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-2022/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems 2. Camera geometry 3. Stereo and Multiview imaging 4. Introduction to multiple drone systems 5. Simultaneous Localization and Mapping 6. Drone mission planning and control 7. Introduction to autonomous marine vehicles Part B (8 hours) Deep learning topic list 1. Multilayer perceptron. Backpropagation 2. Deep neural networks. Convolutional NNs - Transformers 3. Deep object detection 4. 2D Visual Object Tracking 5. Neural Slam 6. CVML Software development tools 7. Applications in car vision b) 'Programming short course and workshop on Deep Learning and Computer Vision 2022', 24-26th August 2022. http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-2022/ Part A (8 hours), Deep learning and GPU programming sample topic list 1. Introduction to autonomous systems 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multi-core CPU architectures - GPU programming 4. Image classification with CNNs. 5. CUDA programming Part B (8 hours), Deep Learning for Computer Vision sample topic list 1. Deep learning for object/face detection 2. 2D object tracking 3. PyTorch: Understand the core functionalities of an object detector. Training and deployment. 4. OpenCV programming for object tracking Part C (8 hours), Autonomous UAV cinematography sample topic list 1. Video summarization 2. UAV cinematography 3. Video summarization with Pytorch 4. Drone cinematography with Airsim Sincerely yours Prof. I. Pitas -------------- next part -------------- An HTML attachment was scrubbed... URL: From donatello.conte at univ-tours.fr Tue May 17 10:12:53 2022 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Tue, 17 May 2022 16:12:53 +0200 Subject: Connectionists: =?iso-8859-1?q?Second_CFP_-_IEEE_Transactions_on_?= =?iso-8859-1?q?Emerging_Topics_in_Computing__Special_Issue_on_=22E?= =?iso-8859-1?q?merging_Trends_and_Advances_in_Graph-based_Methods_?= =?iso-8859-1?q?and_Applications=22?= Message-ID: <020901d869f8$334fe6f0$99efb4d0$@univ-tours.fr> ******************************************************** CFP - Apologies for multiple posting ******************************************************** Dear Colleague, we would like to invite you to submit a paper to the Special Section on ?Emerging Trends and Advances in Graph-based Methods and Applications? to be published in IEEE Transactions on Emerging Topics in Computing (ISSN 21686750, IF 7.691) ******************************************************** TOPICS OF INTEREST ******************************************************** - Advances in computing and learning on graphs - Graph Neural Networks (GNNs) - Graph data fusion methods and graph embedding techniques - Efficient, parallel, and distributed processing frameworks for big graphs - Novel dynamic, spatial, and temporal graphs for recognition and learning - Emerging graph-based methods in computer vision - Interactivity, explainability, and trust in graph-based learning methods - Applications of GNNs - Human behavior and scene understanding using graphs - Benchmarks for GNNs - Graph signal processing - Application of graph data processing in biology, healthcare, transportation, natural language processing, social networks, etc. For further details please visit the special issue website: https://www.computer.org/digital-library/journals/ec/graph-based-methods ******************************************************** IMPORTANT DATES ******************************************************** Submission deadline: 30 June 2022 First review notification: 30 November 2022 Revision submission: 15 February 2023 Second review notification: 30 April 2023 Journal publication: first half of 2023 Should you have any further enquiry please do not hesitate to contact us. Best regards, Donatello Conte, Universit? de Tours, Laboratoire d?Informatique Fondamentale et Appliqu?e de Tours, France Alessandro D?Amelio, Universit? degli Studi di Milano, Dipartimento di Informatica, Italy Raffaella Lanzarotti, Universit? degli Studi di Milano, Dipartimento di Informatica, Italy Jianyi Lin, Universit? Cattolica del Sacro Cuore, Dipartimento di Scienze Statistiche, Italy Jean-Yves Ramel, Universit? de Tours, Laboratoire d?Informatique Fondamentale et Appliqu?e de Tours, France (Guest Editors) -------------- next part -------------- An HTML attachment was scrubbed... URL: From trentin at dii.unisi.it Tue May 17 18:03:25 2022 From: trentin at dii.unisi.it (Edmondo Trentin) Date: Wed, 18 May 2022 00:03:25 +0200 Subject: Connectionists: Hybrid ANNPR2022: 2nd CFP (10th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, Dubai) Message-ID: <4a7672aa6e200117b7604b54fa29ded4.squirrel@mailsrv.diism.unisi.it> Hybrid ANNPR 2022: due to the status of the ongoing Covid-19 pandemic, remote presentations and attendance will be accommodated. Nonetheless, ANNPR 2022 is being planned as an in-presence event, and we encourage perspective attendees to join us in Dubai. 2nd Call for papers 10th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2022) November 24th - 26th, 2022 Dubai Campus of Heriot-Watt University, Dubai, UAE URL: https://annpr2022.com/ Sponsored by the International Association for Pattern Recognition (IAPR) The Workshop proceedings will be published in the Springer LNAI series ANNPR 2022 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues - Supervised, semi-supervised, unsupervised, and reinforcement learning - Deep learning and deep reinforcement learning - Feed-forward, recurrent, and convolutional neural networks - Hierarchical modular architectures and hybrid systems - Interpretability and explainability of neural networks - Generative models - Robustness & generalization of neural networks - Meta-learning, Auto-ML - Multiple classifier systems and ensemble methods - Kernel machines - Probabilistic graphical models Applications to Pattern Recognition - Image processing and segmentation - Object detection - NLP and conversational agents - Sensor-fusion and multi-modal processing - Biometrics, including sspeech and speaker recognition and segmentation - Data, text, and social media analytics - Bioinformatics/Cheminformatics and medical applications - Industrial applications, e.g. quality control and predictive maintenance - Data clustering ANNPR 2022 is organized by the Technical Committee 3 (IAPR TC3) on Neural Networks & Computational Intelligence of the International Association for Pattern Recognition (IAPR). As such, we particularly encourage submissions that fit the Manifesto and the research directions of the TC3 (see http://iapr-tc3.diism.unisi.it/Research.html). The Workshop is officially sponsored by the IAPR. Important Dates June 5th, 2022 ? Paper submission July 29th, 2022 ? Notification of acceptance Sept 4th, 2022 ? Camera-ready Sept 4th, 2022 ? Early registration Workshop dates: Nov 24-26, 2022 Paper Submission: Perspective Authors shall submit their paper in Springer LNCS/LNAI format. Please refer to the "Submission" page of the ANNPR 2022 website at: https://annpr2022.com/paper-submission/ Instructions for Authors, LaTeX templates, etc. are available at the Springer LNCS/LNAI web-site (see http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines). The maximum paper length is 12 pages. Submission of a paper constitutes a commitment that, if accepted, at least one of the Authors will complete an early registration to the workshop. On-line submission via EasyChair is available through the aforementioned ANNPR 2022 web-page. For more information, please visit us at: https://annpr2022.com/ Do not hesitate to contact the ANNPR 2022 Chairs for any inquiries. ANNPR 2022 Chairs: Neamat El Gayar, Heriot-Watt University, Dubai (UAE) Mirco Ravanelli, Concordia University, Montr?al (Canada) Hazem Abbas, Ain Shams University, Cairo (Egypt) Edmondo Trentin, University of Siena, Siena (Italy) ----------------------------------------------- Edmondo Trentin, PhD Dip. Ingegneria dell'Informazione e Scienze MM. V. Roma, 56 - I-53100 Siena (Italy) E-mail: trentin at dii.unisi.it Voice: +39-0577-234636 Fax: +39-0577-233602 WWW: http://www.dii.unisi.it/~trentin/HomePage.html From ioannakoroni at csd.auth.gr Wed May 18 02:14:58 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 18 May 2022 09:14:58 +0300 Subject: Connectionists: AI4Media's session at 2022 PSIS workshop "Putting Science into Standards" | June 9th. References: <03b801d86907$4a84bbd0$df8e3370$@loba.pt> <03bf01d86907$a8f70c40$fae524c0$@loba.pt> Message-ID: <070b01d86a7e$9a55afc0$cf010f40$@csd.auth.gr> Dear all, This may be of your interest. AI4Media will be in the 2022 PSIS workshop "Putting Science into Standards" with a session on "AI for Media, including Social Media, content moderation, recommender systems" chaired by Symeon Papadopoulos from CERTH-ITI. This session will take place on June 9th 2022 from 10h45 to 12h00 cest. CEN and CENELEC, together with the European Commission's Joint Research Centre (JRC), carry out an annual 'foresight on standardization' exercise under the Putting Science into Standards (PSIS) initiative. The 2022 PSIS workshop will focus on the topic of "Data quality requirements for inclusive, non-biased, and trustworthy artificial intelligence". The EU's approach to artificial intelligence focuses on excellence and trust, aiming to boost research and industrial capacity and ensure fundamental rights. Bias in existing state-of-the-art AI models has been widely proven, raising concerns on societal consequences. Researchers in academia and industry have proposed different methods to eliminate bias, starting from the input data and by curating the AI model training. However, no common approach to measure requirements in data quality has been defined. Standards and guidelines are needed to define types of data used in creating AI models to ensure that bias is not present. Ensuring that AI model data upholds quality standards that result in non-biased, inclusive AI systems will provide the right foundation from which trustworthy AI can be further developed and deployed to improve EU citizens' lives. The objectives of the workshop are: * Presenting current and future needs and recommendations to address data biases and related ethical concerns in the context of AI; * Mapping of existing and missing standardization efforts; * Developing guidelines in view of data quality standards for AI models; * Proposing and recommending steps to start the process of drafting standards. CHECK OUT THE PROGRAME: HERE WHEN: 8 June 2022 (14h-17h15 cest) | 9 June 2022 (9h-16h cest) REGISTER: HERE *Participation is free of charge, but registration is obligatory before June 1st. Best, AI4Media project -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Tue May 17 15:39:22 2022 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 17 May 2022 21:39:22 +0200 Subject: Connectionists: Date change: Susan Goldin-Meadow speaking on June 1 in Developing Minds global online lecture series Message-ID: Dear colleagues, On June 1, the Developing Minds global online lecture series will feature Susan Goldin-Meadow, Dept. of Psychology, U. of Chicago, USA. : "The Mind Hidden in Our Hands? https://sites.google.com/view/developing-minds-series/home The talk had to be postponed from the originally planned date of May 18. The live event will take place via zoom at: 08:00 CDT (Central Daylight Time) 13:00 UTC (Universal Coordinated Time) 15:00 CEST (Central European Summer Time) 22:00 JST (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract Gesture is versatile in form and function. Under certain circumstances, gesture can substitute for speech, and when it does, it embodies the properties of language that children themselves bring to language learning, and underscores the resilience of language itself. Under other circumstances, gesture can form a fully integrated system with speech. When it does, it both predicts and promotes learning, and underscores the resilience of gesture in thinking. Together, these lines of research show how much of our minds is hidden in our hands. Bio Susan Goldin-Meadow is the Beardsley Ruml Distinguished Service Professor in the Departments of Psychology and Comparative Human Development at the University of Chicago. Her research focuses on the most basic building blocks of language and thought as they are developed in early childhood. Specifically, she is interested in uncovering linguistic components that are so basic they will arise in a child?s communication system even if the child has limited access to outside linguistic input. Professor Goldin-Meadow?s research has also generated more broadly applicable insights into how the spontaneous gestures that learners produce can reveal their readiness to learn language, math, and scientific concepts. Professor Goldin-Meadow is the founding Editor of Language Learning and Development, and has been president of the International Society for Gesture Studies, president of the Cognitive Development Society, chair of the Cognitive Science Society, and president of the Association for Psychological Society. She is the recipient of a Guggenheim Fellowship, received the William James award for lifetime achievement in basic research from APS, was elected to the American Academy for Arts and Science in 2005, and the National Academy of Sciences in 2020. Web: https://psychology.uchicago.edu/directory/susan-goldin-meadow The talk will also be recored and the recording made available via the web page: https://sites.google.com/view/developing-minds-series/home Stay healthy, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From stefan.kiebel at tu-dresden.de Tue May 17 11:40:09 2022 From: stefan.kiebel at tu-dresden.de (Kiebel, Stefan) Date: Tue, 17 May 2022 15:40:09 +0000 Subject: Connectionists: Tenured full university professor position in cognitive computational neuroscience Message-ID: Tenured full university professor (W3) position in cognitive computational neuroscience at Technische Universit?t Dresden/Germany Key terms that fit the desired profile: Probabilistic inference, Reinforcement learning, Active inference, Context, Decision making, Hierarchical models Deadline (very) soon: May 20 -- TU Dresden is among the top universities in Germany and Europe and one of the eleven German universities with the status of a 'University of Excellence'. As part of its strategic development, TU Dresden seeks to form strong, interdisciplinary links by extending computational science approaches across various disciplines. https://tu-dresden.de/ing/informatik/die-fakultaet/Stellenangebote/interessensbekundung-fuer-synergy-of-systems-synosys-professuren?set_language=en https://jobs.zeit.de/jobs/three-3-chairs-w3-in-the-broad-area-of-interdisciplinary-digital-science-for-healthy-human-development-technische-universitaet-dresden-dresden-1059058 Prof. Dr. rer.nat. Stefan J. Kiebel Chair of Neuroimaging Faculty of Psychology Technische Universit?t Dresden https://tu-dresden.de/mn/psychologie/ifap/ni -------------- next part -------------- An HTML attachment was scrubbed... URL: From ici2st at epn.edu.ec Tue May 17 14:21:14 2022 From: ici2st at epn.edu.ec (CONFERENCIA INTERNACIONAL ICI2ST) Date: Tue, 17 May 2022 18:21:14 +0000 Subject: Connectionists: CALL FOR PAPERS - ICI2ST 2022 Message-ID: Dear colleagues, *** CALL FOR PAPERS - ICI2ST 2022 **** 3rd International Conference on Information Systems and Software Technologies November 8-10, 2022 VIRTUAL EVENT ============================================================== Conference website: https://ici2st.epn.edu.ec/index.php/en/ Submission link: https://easychair.org/conferences/?conf=ici2st2022 Submission deadline June 7, 2022 ============================================================== The 3rd International Conference on Information Systems and Software Technologies (ICI2ST 2022) is organized by the Faculty of Systems Engineering of the National Polytechnic School of Ecuador. This year's event will be held on November 8-10, 2022. ICI2ST aims to bring together researchers, speakers and industry practitioners worldwide who are developing cutting-edge research related to all aspects of Information Systems, Software Technologies, and Applied Computing. LIST OF TOPICS: ============================================================== Paper submissions are invited for ICI2ST 2022 which include, but are not limited to the following topics: - Information Systems - Software Technologies - Security and Privacy - Technology Trends - Social and Professional Topics IMPORTANT DATES: ============================================================== - Paper Submission Deadline: June 7, 2022 - Paper Notification of Acceptance: July 27, 2022 - Camera-Ready Deadline: August 3, 2022 - Authors Registry Deadline: August 5, 2022 - General Registry Deadline: October 31, 2022 - ICI2ST Conference: November 8-10, 2022 STEERING COMMITTEE: ============================================================== Gabriela Suntaxi, Escuela Polit?cnica Nacional, Ecuador Mar?a Hallo, Escuela Polit?cnica Nacional, Ecuador Vijay Varadharajan, University of Newcastle, Australia Sergio Luj?n Mora, Universidad de Alicante, Spain Yamine Ait-Ameur, ENSEEIHT, France SUBMISSION GUIDELINES: ============================================================== ICI2ST 2022 accepts submissions of original, unpublished full research papers and research-in-progress papers, both being of remarkable research quality. Authors can find the submission guidelines at: https://ici2st.epn.edu.ec/index.php/en/call-for-papers PUBLICATION OF PAPERS: ============================================================== The accepted articles will be sent for review and indexing in SCOPUS. An accepted paper must be presented at the conference by one registered author to be included in the proceedings. Past conference proceedings can be accessed via IEEE Xplorer Digital Library at: https://ieeexplore.ieee.org/xpl/conhome/9447318/proceeding CONTACT: ============================================================== Questions and inquiries should be sent to: ici2st at epn.edu.ec Best regards, ICI2ST-2022 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICI2ST2022-Poster CallForPapers.png Type: image/png Size: 1756085 bytes Desc: ICI2ST2022-Poster CallForPapers.png URL: From benoit.frenay at unamur.be Wed May 18 06:14:43 2022 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Wed, 18 May 2022 12:14:43 +0200 Subject: Connectionists: Two PhDs in Language Games for Ontology and Computational Construction Grammar and Procedural Semantics for Multi-modal, Linguistic, Human-machine Interaction Message-ID: Dear all, We are looking for *excellent candidates to fill two PhD positions that are currently available at the University of Namur in the field of artificial intelligence*, financed by the ARIAC project. The two positions focus on the following research topics: * *Language games for ontology alignment under partial observability* * *Computational construction grammar and procedural semantics for multi-modal, linguistic, human-machine interaction* The deadline for applying for these positions is *July 1st 2022*. Soon-to-be graduating master students are welcome to apply provided that they will have graduated before the start of the position. A more detailed description of the project and the application procedure is included here below. Thank you for helping us spread the word. Best wishes, Katrien Beuls, Anthony Cleve and Bruno Dumas ########################################################################################## *Title* Full-time PhD researcher in artificial intelligence - Universit? de Namur /Language games for ontology alignment under partial observability (ARIAC project)/ https://jobs.unamur.be/emploi.2022-05-17.7380520887 https://euraxess.ec.europa.eu/jobs/785563 *Project* ARIAC by DigitalWallonia4.ai is a research project funded by the Walloon Region bringing together the five French-speaking universities and four Walloon research centres with the primary objective of accelerating the development of artificial intelligence technologies in Wallonia. The project is part of the TRAIL (Trusted AI Labs) initiative, launched in September 2020, which aims at enhancing the development of artificial intelligence technologies in Wallonia. In the context of this position, you will investigate how a population of agents can autonomously develop a new language for exchanging information. The information held by each agent might be stored in entirely different formats and according to different ontologies. Through task-based communicative interactions, the agents invent, adopt and align the building blocks of an emergent language. This language can then be used by all agents in the population to exchange information, as it forms an abstraction layer over the individual ontological organisations and storage formats. You will carry out this PhD project both individually and in collaboration with other researchers in the field. It is conceived as a 4-year program, starting with a 2-year contract that is renewable for up to 2 additional years. You will be supervised by Prof. dr. K. Beuls and Prof. dr. A. Cleve. *Profile* * You have obtained a master?s degree in artificial intelligence, computer science, linguistics, mathematics or a related domain. You have a solid academic track record. * You are passionate about building intelligent systems that are capable of interacting with their users and environment through natural language. * You strive for excellence and have a scientific mindset. * You are a loyal team player, who can work autonomously and deliver solid scientific work. * You have strong communication skills and a good command of English. Knowledge of French is considered as a plus. *Additional information* For additional information please do not hesitate to contact Prof. K. Beuls or Prof. A. Cleve (see addresses below). *Important dates* Submission deadline: *July 1st, 2022 (11h59 pm AoE).* Expected starting date: September 1st, 2022. *How to apply?* Applications should be sent by e-mail to secretariat.info at unamur.be, katrien.beuls at unamur.be?AND anthony.cleve at unamur.be?and contain the following: * A motivation letter describing your interest in the research topic * Your CV * A copy of your diplomas (Bachelor and Master, if available) * A transcript with the grades you obtained for each course taken on each university year * The name and e-mail address of two references to be contacted upon request ########################################################################################## *Title* Full-time PhD researcher in artificial intelligence - Universit? de Namur /Computational construction grammar and procedural semantics for multi-modal, linguistic, human-machine interaction (ARIAC project)/ https://jobs.unamur.be/emploi.2022-05-17.2794384091 https://euraxess.ec.europa.eu/jobs/785573 *Project* ARIAC by DigitalWallonia4.ai is a research project funded by the Walloon Region bringing together the five French-speaking universities and four Walloon research centres with the primary objective of accelerating the development of artificial intelligence technologies in Wallonia. The project is part of the TRAIL (Trusted AI Labs) initiative, launched in September 2020, which aims at enhancing the development of artificial intelligence technologies in Wallonia. Current techniques for linguistic human-machine interaction focus on either speech signals, textual data or gestures. However, communication between humans is multi-modal in nature. In particular, spoken utterances are accompanied by gestures, pointing, eye gaze, facial expressions, and prosody amongst others. These multi-modal channels are of great importance to supporting the basic function of language, i.e. exchanging information between individuals. A great challenge for human-machine interaction resides thus in the integration of multi-modal signals into a single device for comprehending and producing natural language expressions. Within the ARIAC project, we will develop a novel methodology for multi-modal language comprehension and production. This methodology will be situated within the framework of computational construction grammar, a family of linguistic theories which is well-suited to accommodate the representation and processing of linguistic knowledge that combines different sources of information. While the representation of the form of linguistic expressions will consist in abstractions over data captured through different feature channels, the representation of the meaning of linguistic expressions will be formalised using procedural semantics. In this way, the information captured in the multi-modal linguistic expressions can be executed by a machine, or a machine can produce multi-modal expressions based on procedural semantic representations. The primary application domain of this research will be systems for multi-modal human-machine interaction, i.e. systems where humans can give instructions to a machine by simultaneously speaking and gesturing. You will carry out this PhD project both individually and in collaboration with other researchers in the field. It is conceived as a 4-year program, starting with a 2-year contract that is renewable for up to 2 additional years. You will be supervised by Prof. dr. K. Beuls and Prof. dr. B. Dumas. *Profile* * You have obtained a master?s degree in artificial intelligence, computer science, linguistics, mathematics or a related domain. You have a solid academic track record. * You are passionate about building intelligent systems that are capable of interacting with their users and environment through natural language. * You strive for excellence and have a scientific mindset. * You are a loyal team player, who can work autonomously and deliver solid scientific work. * You have strong communication skills and a good command of English. Knowledge of French is considered as a plus. *Additional information* For additional information please do not hesitate to contact Prof. K. Beuls or Prof. B. Dumas (see addresses below). *Important dates* Submission deadline: *July 1st, 2022 (11h59 pm AoE).* Expected starting date: September 1st, 2022. *How to apply?* Applications should be sent by e-mail to secretariat.info at unamur.be, katrien.beuls at unamur.be?AND bruno.dumas at unamur.be?and contain the following: * A motivation letter describing your interest in the research topic * Your CV * A copy of your diplomas (Bachelor and Master, if available) * A transcript with the grades you obtained for each course taken on each university year * The name and e-mail address of two references to be contacted upon request -------------- next part -------------- An HTML attachment was scrubbed... URL: From julia.verhoef at donders.ru.nl Wed May 18 09:21:00 2022 From: julia.verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Wed, 18 May 2022 13:21:00 +0000 Subject: Connectionists: FW: Postdoctoral Researcher: Neural Mechanisms of Generalisation and Novel Inference In-Reply-To: References: Message-ID: Dear all, We would like draw your attention to the vacancy available within the Language in Interaction consortium. Please, feel free to forward this information to everyone who might be interested. Postdoctoral Researcher: Neural Mechanisms of Generalisation and Novel Inference ? Employment: 1.0 FTE ? Gross monthly salary: ? 3,821 - ? 5,230 ? Donders Centre for Cognitive Neuroimaging ? Required background: PhD ? Application deadline: 15 June 2022 [Apply] The ability to generate novel, compositional solutions is fundamental for adaptive behavior in our uncertain world. Are you passionate about integrating insights across domains of action planning, vision and language to unravel the mechanisms of novel inference? As a postdoc, you will be part of a team of enthusiastic researchers studying the computations of novel inference. We are looking for a highly motivated candidate with expertise in electrophysiology (e.g. MEG, EEG), an interest in novel inference for adaptive behaviour, and a collaborative team spirit. As a postdoctoral researcher, you will study the role of neural signals in the learning and inference of novel meaning for language. Compositionality is fundamental to adaptive behaviour in different cognitive domains (e.g. language, vision, memory and action planning). The human ability to compose complex representations from basic building blocks depends critically on abstract, generalisable knowledge, and implicates the hippocampus and medial prefrontal cortex. What are the neurocomputational mechanisms that underlie inference and generation of the meaning of new words? Are they shared across cognitive domains? If yes, how? The project aims to advance our knowledge of the brain mechanisms of flexible and efficient behaviour, as well as shared inferential mechanisms across cognitive domains. To this end, you will design, conduct, analyse and disseminate MEG experiments to probe the neural underpinnings of inference. Profile ? You hold a PhD in cognitive neuroscience, psychology, or a related field. ? You have demonstrable experience with research using electrophysiological methods. ? You have a strong interest in the neural computations of human cognition. ? You have a team science mindset. ? You have an excellent command of written and spoken English. We are The Donders Institute for Brain, Cognition and Behavior is a world-class interfaculty research centre that houses more than 700 researchers devoted to understanding the mechanistic underpinnings of the human mind. Research at the Donders Institute is focused around four themes: 1. Language and communication, 2. Perception, action and control, 3. Plasticity and memory, 4. Neural computation and neurotechnology. Excellent, state-of-the-art research facilities are available for the broad range of neuroscience research that is being conducted at the Donders Institute. The Donders Institute has been assessed by an international evaluation committee as 'excellent' and recognised as a 'very stimulating environment for top researchers, as well as for young talent'. The Donders Institute fosters a collaborative, multidisciplinary, supportive research environment with a diverse international staff. English is the lingua franca at the Institute. The mission of the Donders Centre for Cognitive Neuroimaging (DCCN) is to conduct cutting-edge fundamental research in cognitive neuroscience. Much of the rapid progress in this field is being driven by the development of complex neuroimaging techniques for measuring activity in the human brain - an area in which the Centre plays a leading role. The research themes cover central cognitive functions, such as perception, action, control, emotion, decision-making, attention, memory, language, learning and plasticity. The Centre also aims to establish how the different brain areas coordinate their activity with very high temporal precision to enable human and animal cognition. Our internationally renowned Centre currently hosts more than 100 PhD candidates and postdoctoral researchers from more than 25 countries, offering a stimulating and multidisciplinary research environment. The Centre is equipped with four MRI scanners (7T, 3x 3T), a 275-channel MEG system, an EEG-TMS laboratory, several MR-compatible EEG systems, and high-performance computational facilities. You will be embedded in Prof. Roshan Cools' Motivational and Cognitive Control group at the Donders Centre for Cognitive Neuroimaging and collaborate with Dr Vitoria Piai at the Donders Centre for Cognition. Moreover, you will be part of the Big Question 5 team of the Language in Interaction research consortium and collaborate closely with Dr. Xiaochen Zheng, coordinating postdoctoral researcher of the Big Question 5 team. Radboud University We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. This is what unites the more than 24,000 students and 5,600 employees at Radboud University. And this requires even more talent, collaboration and lifelong learning. You have a part to play! We offer ? Employment for 1.0 FTE. ? The gross monthly salary amounts to a minimum of ?3,821 and a maximum of ?5,230 based on a 38-hour working week, depending on previous education and number of years of relevant work experience (salary scale 11). ? You will receive 8% holiday allowance and 8.3% end-of-year bonus. ? It concerns a temporary employment until 30 June 2024. ? You will be able to use our Dual Career and Family Care Services. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen. ? Working for us means getting extra days off. In case of full-time employment, you can choose between 29 or 41 days of annual leave instead of the legally allotted 20. Additional employment conditions Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes. Would you like more information? For questions about the position, please contact Roshan Cools, Principal Investigator at roshan.cools at donders.ru.nl. Alternatively, you can contact Vitoria Piai, Principal Investigator at vitoria.piai at donders.ru.nl. Practical information and applications You can apply until 15 June 2022, exclusively using the button below. Kindly address your application to Roshan Cools. Please fill in the application form and attach the following documents: ? A letter of motivation. ? Your CV including the contact details of two referees. ? Your top 2 outputs (e.g. publications). The first round of interviews will take place on Tuesday 21 June. You would preferably begin employment as soon as possible. We can imagine you're curious about our application procedure. It offers a rough outline of what you can expect during the application process, how we handle your personal data and how we deal with internal and external candidates. [Apply] We drafted this vacancy to find and hire our new colleague ourselves. Recruitment agencies are kindly requested to refrain from responding. Kind regards, Julia Verhoef Secretary - Language in Interaction Consortium Radboud University | Donders Centre for Cognitive Neuroimaging (DCCN) | room 0.026 Kapittelweg 29, 6525 EN Nijmegen, The Netherlands | P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands | T: +31 (0)24 3666272 | E: julia.verhoef at donders.ru.nl|Office hours: 9-14 hr on Mon - Fri -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 3660 bytes Desc: image001.jpg URL: From bart at ai.vub.ac.be Wed May 18 10:22:54 2022 From: bart at ai.vub.ac.be (Bart de Boer) Date: Wed, 18 May 2022 16:22:54 +0200 Subject: Connectionists: Workshop: Machine Learning and the Evolution of Language at JCoLE 2022, Japan Message-ID: <55de2c44-4265-3ba0-156f-fa73f5d56ab6@ai.vub.ac.be> # Machine Learning and the Evolution of Language: Workshop announcement + CFP We are pleased to announce the workshop "Machine Learning and the Evolution of Language: Building a bridge between communities", which will be held at the [Joint Conference on Language Evolution 2022](https://sites.google.com/view/joint-conf-language-evolution/home) (Japan and online, September 5th - 8th, 2022). The workshop will take place on September 5th, 2022 over two sessions (morning and afternoon, Japan time). The goal of this workshop is to build a bridge between the language evolution community and the machine learning community. The workshop will feature presentations from invited speakers and a lively panel discussion on the advantages and pitfalls of using emergent communication with deep learning models as well as more classic agent-based computational models. For more information on the schedule and the list of invited speakers, please visit: https://ml4evolang.github.io/ To futher expand this rich program, we invite the submission of abstracts to be presented as posters in the workshop. WORKSHOP DESCRIPTION -------------------- In the past three decades, numerous studies have attempted to mimic the evolution of language with human participants and agent-based computational models. Meanwhile, in the last decade, the machine learning community has similarly made exciting strides in simulating emergent communication with deep and reinforcement learning methods. Although both areas of research have similar interests and work on similar questions, there has been little crosstalk between them so far. This is unfortunate, since the progress in machine learning and other areas of AI may allow language evolution researchers to model phenomena that they could not model before. At the same time, theoretical and experimental knowledge of language evolution coming from the linguistics community may help focus models of emergent communication used by the machine learning community. The goal of this workshop is therefore to relate these two areas by bringing together researchers from both backgrounds, establishing common ground, bootstrapping a mutual dialogue between them, and discussing the potential pitfalls of incorporating machine learning methods in the study of language evolution. CALL FOR PAPERS --------------- We welcome submissions of abstracts of **up to 300 words** on the basis of new, in-progress, or already published work whose content is relevant to the topics of the workshop, including but not limited to: - Machine learning methods for understanding language evolution - Emergent communication with reinforcement learning - Agent-based modeling of language evolution **Deadline for submission is June 25, 2022**. Accepted submissions will be presented in a poster session in the workshop. To submit your abstract, please visit: https://openreview.net/group?id=JCoLE/2022/Workshop/ml4evolang From alan.fung at cityu.edu.hk Thu May 19 05:06:03 2022 From: alan.fung at cityu.edu.hk (Dr. Chi Chung Alan FUNG) Date: Thu, 19 May 2022 09:06:03 +0000 Subject: Connectionists: Ph.D. Opportunity in Hong Kong - Computational Neuroscience and Brain-Inspired Machine Learning Message-ID: The principal investigator (PI) is forming a new laboratory for computational neuroscience in the Department of Neuroscience at the City University of Hong Kong (CityU). His research interest includes 1) computational modelling for neural phenomena, and; 2) brain-inspired machine learning algorithms. He is looking for a Ph.D. student with a relevant background. Ideal candidates should have appropriate knowledge of Neuroscience and proper quantitative skills for mathematical modelling. However, candidates having experience in either Neuroscience or quantitative science and interested in Computational Neuroscience are also welcome. The university and the PI will jointly provide a studentship according to the university's standards (HK$17510/m). Candidates can also apply for the Hong Kong Ph.D. Fellowship Scheme ( https://cerg1.ugc.edu.hk/hkpfs/index.html ). CityU is ranked 7th amount the world's top young universities according to the Nature Index 2021 Young University. To apply, please send your CV with two references and a brief research statement to alan.fung at cityu.edu.hk . Homepage of the PI: https://www.cityu.edu.hk/neuro/alanfung.htm Living in Hong Kong: https://www.cityu.edu.hk/student-life/living Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mrs at fel.cvut.cz Thu May 19 07:36:37 2022 From: mrs at fel.cvut.cz (Multi-Robot Systems Group in Prague) Date: Thu, 19 May 2022 13:36:37 +0200 Subject: Connectionists: 2 ECTS credits for the 2022 IEEE RAS Summer School on Multi-Robot Systems, August 1-5, Prague Message-ID: <57abced2-2e99-744f-cb48-122ce5c13309@fel.cvut.cz> It is my great pleasure to announce that the 2022 IEEE RAS Summer School on Multi-Robot Systems http://mrs.felk.cvut.cz/summer-school-2022/ ?was registered within the official study program of the Czech Technical University in Prague and became an accredited course equivalent to 2 ECTS https://fel.cvut.cz/en/education/bk/predmety/70/55/p7055806.html All participating students will get an official certificate for their universities using the international ECTS credit system. The Summer School is proper for last year's bachelor?s students, master?s students, and Ph.D. students, but we would also like to invite young scientists from both industry and academia. Mainly the planned HW experiments with a fleet of real UAVs realized by students during the Summer School practicals could be within their interest. Given the unexpected interest of students applying for the 2022 IEEE RAS Summer School on Multi-Robot Systems and the linked support we received from the Czech Technical University in Prague, we have extended the number of applicants that can participate in the Summer School being held in August 1-5, 2022 in Prague, Czech Republic. Visit http://mrs.felk.cvut.cz/summer-school-2022/ ?for details and the list of invited lecturers from top robotics laboratories worldwide. This will allow us to provide the knowledge and the interesting content of the Summer School to the broadest audience possible. At the same time, it could be a unique opportunity for networking with young scientists working in similar fields of research. Moreover, we have obtained more UAVs with various sensors from sponsors, so the students will be able to make even more demanding experiments. You can find more details about the Summer School in the call for participation with the deadline June 1, 2022, below this email. Best Regards, Martin ----------------------- Dr. Martin Saska Head of Multi-robot Systems Group Faculty of Electrical Engineering Czech Technical University in Prague Karlovo n?m?st? 13 CZ 121 35 Prague 2 Office: E120 Voice: +420-776241932 http://mrs.felk.cvut.cz/ http://mrs.felk.cvut.cz/people/martin-saska -------------------------------------------------------------------------------------------------- Following the great success of Summer Schools in Singapore, 2016 and in Prague, 2019 & 2020 the MRS RAS technical committee is organising 2022 IEEE RAS Summer School on Multi-Robot Systems http://mrs.felk.cvut.cz/summer-school-2022/?which will be held again at the campus of Czech Technical University located at the heart of the historic city of Prague. The Summer School aims to promote the newest achievements in multi-robot systems and swarm robotics to students, academic researchers, and industrial practitioners to enable putting systems of cooperating robots into practice. The content of the Summer School will be focused but not limited to systems of cooperating aerial vehicles. The topics addressed by well-recognised experts in the field of Multi-Robot Systems are composed to provide the participants necessary knowledge for understanding the available theory and for realisation real-world experiments with a fleet of autonomous micro aerial vehicles in the last day of the Summer School. This year the school will be focused on deployment of MRS in real-world conditions being motivated by EU AERIAL-CORE https://aerial-core.eu?project and DARPA SubT challenge www.subtchallenge.com The school is considered for presence participants primarily since a minimal amount of COVID cases and no travel restrictions were experienced in the Czech Republic in July-August in 2020 and 2021. Nevertheless, we will allow also virtual participation for students from countries with travel restrictions or limitations. The call for applications is now open: http://mrs.felk.cvut.cz/summer-school-2022/apply.html ---------------------------------------------------------------------------- 2022 IEEE RAS Summer School on Multi-Robot Systems ---------------------------------------------------------------------------- WHERE: ????????????????????????????Prague, Czech Republic WHEN: ??????????????????????????????August 1-5, 2022 DEADLINE: ???????????????????????June 1, 2022 HOW TO APPLY: ??????????????Submit CV, personal information, and a brief statement of interest through: https://forms.gle/ehFe6Beesv1LfHKC6 Include title and abstract of your short talk if you are interested in providing a talk on your research (optional) WHO SHOULD ATTEND: ?Graduate students (master or PhD) and students (Bc.) at an advanced stage of their university courses. R&D professionals. FEE: ????????????????????????????????Students: 440 ? + 92.4 ? VAT ????????????????????????????????????????Academic participants: 510 ? + 107.1 ? VAT ????????????????????????????????????????Industry participants: 590 ? + 123.9 ? VAT * The fee includes all lectures, practicals with real robots, lunches, refreshments, welcome drinks, banquet, farewell drinks, and social programs - guided tour in Prague's Old Town LECTURERS: Konstantinos Alexis.?Professor at Norwegian university of science and technology. Winner of DARPA SubT challenge - motivating Summer School experiments http://mrs.felk.cvut.cz/summer-school-2022/outdoor.html Rachid Alami.?Senior Scientist (Directeur de Recherche) at?Laboratory for Analysis and Architecture of Systems (LAAS) An?bal Ollero.?Professor at the University of Seville. Principal investigator of Aerial Core - motivating?Summer School experiments http://mrs.felk.cvut.cz/summer-school-2022/outdoor.html Tom?? Svoboda. Professor at theCzech Technical University in Prague. 2nd place at virtual DARPA SubT challenge - motivating?Summer School experiments http://mrs.felk.cvut.cz/summer-school-2022/outdoor.html Alyssa Pierson. Professor at Boston University Guido de Croon. Professor at?Delft University of Technology Vito Trianni.?Senior researcher at?Istituto di Scienze e Tecnologie della Cognizione Lino Forte Marques. Professor at University of Coimbra PRACTICALS: Tom?? B??a, Czech Technical University: Outdoor experiments with swarms of micro aerial vehicles http://mrs.felk.cvut.cz/summer-school-2022/outdoor.html Robert P?ni?ka, Czech Technical University: ROS and Gazebo for verification of multirobot systems ORGANIZERS: Martin Saska, Czech Technical University, Summer School Chair Robert Fitch, The University of Sydney, Technical Committee and Advisory Board Nora Ayanian, University of Southern California, Technical Committee and Advisory Board Antonio Franchi, University of Twente, Technical Committee and Advisory Board Lorenzo Sabatini, University of Modena, Technical Committee and Advisory Board Jen Jen Chung, ETH Z?rich, Technical Committee and Advisory Board Changjoo Nam, ?Inha University, Technical Committee and Advisory Board Javier Alonso-Mora, Delft University of Technology, Technical Committee and Advisory Board Alyssa Pierson, Boston University, Technical Committee and Advisory Board WEB PAGE: http://mrs.felk.cvut.cz/summer-school-2022/ CONTACT: mrs at fel.cvut.cz Best regards on behalf of organizers and IEEE RAS MRS TC, Martin -- Multi-Robot Systems Group (MRS), Martin Saska Faculty of Electrical Engineering Czech Technical University in Prague Karlovo namesti 13, Praha 2 Czech Republic mrs at fel.cvut.cz mrs.felk.cvut.cz -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Thu May 19 11:40:43 2022 From: m.plumbley at surrey.ac.uk (Mark Plumbley) Date: Thu, 19 May 2022 15:40:43 +0000 Subject: Connectionists: Workshop on Designing AI for Home Wellbeing, Surrey, UK, 11-12 July 2022 [EoI by 27 May] Message-ID: Dear Connectionists, (Apologies for cross-posting) We are organizing a 2-day workshop on Designing AI for Home Wellbeing, including a "World Caf?" discussion workshop and a Seminar Day, to define and explore this new and emerging field. Please forward to any colleagues who may be interested to join us! Best wishes, Mark ************************************************************************* Two-day Workshop on Designing AI for Home Wellbeing University of Surrey, UK, 11-12 July 2022 * Day 1 (Mon 11 July) - World Caf? * Day 2 (Tue 12 July) - Seminar Day Important Dates 27 May: Deadline for Expressions of Interest (World Caf?) 3 Jun: Notification of acceptance (World Caf?) 20 Jun: Deadline for Registration (Seminar Day) ************************************************************************* "Designing AI for Home Wellbeing" has potential to radically change the way we think about and use AI by supporting user experiences that actively foster home wellbeing, such as social connection and security.? This two-day workshop is designed to shape the future of this emerging field, through a full day face-to-face "World Caf?" on Monday 11 July 2022, followed by an in-person Seminar Day on Tuesday 12 July 2022. Contributions to the Workshop will inform a final report on "Designing AI for Home Wellbeing", exploring how the field can be actively and collaboratively supported across disciplines and with stakeholders. CALL FOR PARTICIPATION To participate in the World Caf?, please submit an Expression of Interest (EoI) by ** 27 May 2022 **. Successful applicants will be notified by 3 June 2022. Reasonable travel and subsistence costs will be covered for accepted World Caf? participants. To participate in the Seminar Day, please register by ** 20 June 2022 ***? EOI & REGISTRATION LINKS Expression of Interest (EoI) for World Caf? (Mon 11 July) https://www.ias.surrey.ac.uk/event/designing-ai-for-home-wellbeing-world-cafe/ Deadline for EoI: 27 May 2022 Registration for Seminar Day (Tue 12 July): https://www.eventbrite.co.uk/e/274290569477 Deadline for registration: 20 June 2022 FURTHER INFORMATION "Designing AI for Home Wellbeing" is a new AI methodology, which is expected to significantly advance the field towards new AI technologies for the home that put people at the heart of AI to enable human flourishing through this space.?This emerging field answers a gap in AI scholarship where new AI technologies are generally driven by technologically capability or ethical governance and those that consider wellbeing appear to look at healthcare optimisation more generally. Additionally, there is a tendency to seek end-user feedback towards the end of new AI technology development rather than tailoring this to specific user needs from the beginning. ? The development of "Designing AI for Home Wellbeing" is timely with the upcoming launch of the Surrey Institute for People-Centred AI (https://www.surrey.ac.uk/artificial-intelligence/ai-institute-recruitment/our-vision) that aims to be the national centre of excellence in people-centred AI research, innovation and training, as well as research emerging from the "AI for Sound" project (https://ai4s.surrey.ac.uk/) that is starting to show a gap in user-centred design frameworks for developing AI. The World Caf? (Day 1) will bring together national and international AI experts in a structured conversational process, sharing knowledge through a series of table-based discussions on key questions, to identify how AI applications for the home can be designed from an end-user perspective. More Information on the "World Caf?" format can be found here:? http://theworldcafe.com/key-concepts-resources/world-cafe-method/ The World Caf? event is supported by the Institute of Advanced Study at the University of Surrey. ? The Seminar Day (Day 2) will include invited presentations from several AI experts, to highlight the importance of designing AI technologies focused on wellbeing in the home. Scheduled speakers include: Dr Girmaw Abebe Tadesse (IBM Research Africa), Dr Andrew Rogoyski (Surrey Institute for People-Centred AI), Dr Mohan Sridharan (University of Birmingham), Dr Manos Panaousis (University of Greenwich), Dr Enrico Costanza (UCL Interaction Centre), Dr Ivan Kiskin (Surrey Institute for People-Centred AI), Prof Bridgette Wessel (University of Glasgow), Paul Doyle (Bush & Company), Dr Silvio Carta (University of Hertfordshire). The Seminar Day is supported by the?Surrey Institute for People-Centred AI at the University of Surrey. For more information, please contact: Dr Emily Corrigan-Kavanagh (e.corrigandoyle at surrey.ac.uk). Dr Emily Corrigan-Kavanagh Prof Mark D Plumbley University of Surrey -- Prof Mark D Plumbley EPSRC Fellow in AI for Sound Professor of Signal Processing Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk From d.bach at ucl.ac.uk Fri May 20 03:11:49 2022 From: d.bach at ucl.ac.uk (Dominik R. Bach) Date: Fri, 20 May 2022 09:11:49 +0200 Subject: Connectionists: Post doc in computational neuroimaging (FIL/UCL, Avoidance Learning, PI Dominik Bach) - closing date 16 June Message-ID: <64bfd55b-04c1-08a5-ae78-2546c62da5bb@ucl.ac.uk> We are currently recruiting for a Research Fellow to join the Wellcome Centre for Human Neuroimaging , which aims to develop clinically transformative applications of neuroimaging by providing computationally-derived biomarkers for personalised prognosis and treatment planning. You will work on the ESRC-funded research project "A cognitive-computational model of avoidance learning" (CogLearn), which is formally held by Professor Martina Callaghan and scientifically supervised by Professor Dominik Bach . We have developed a virtual-reality task in which people move to avoid aversive events, which can be predicted from sensory stimuli. You will use behavioural data from this task to develop computational learning models and will then devise experimental procedures to disambiguate candidate models based on behavioural and 7 T neuroimaging data, in collaboration with the MRI physics team. You will conduct respective experiments and analyse the data. You will need a PhD (or be close to completing) in (cognitive-computational) neuroscience, or a quantitative field of psychology, (e.g. decision-making, perception) with focus on neuroimaging, or a related area. Experience in conducting neuroimaging research, computational modelling of behaviour and in programming (competent knowledge of at least one language; Matlab or R desirable) is essential. Good interpersonal skills with an aptitude to work co-operatively in a multidisciplinary setting and strong problem-solving abilities are also required for this role. The post is available from September 2022 and is funded by a grant from the ESRC for two years in the first instance with possibility for extension until project end (December 2025). Starting salary on UCL Grade 7 in the range ?36,770- ?44,388 per annum including London Allowance. The Institute also offers 41 days of annual leave (inclusive of bank holidays and college closure dates), a generous pension scheme, access to UCL?s community benefits including lunch-hour lectures, exhibitions, and museums, as well as an extensive range of staff benefits. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary ?32,217 - ?33,958 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. You should apply for this post through UCL's online recruitment portal ? www.ucl.ac.uk/hr/jobs - where you can download a job description and person specification using ref: 1884460. For further information regarding the application process please contact Oksana Shapoval, HR Officer, Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG (email: ion.hradmin at ucl.ac.uk). Please contact Professor Dominik Bach for more information about the role (d.bach at ucl.ac.uk). Closing Date: 16 June 2022 -- ----------------------- Professor Dominik R Bach MBBS PhD Max Planck UCL Centre for Computational Psychiatry and Ageing Research Wellcome Centre for Human Neuroimaging, University College London bachlab.org | @bachlab_cog -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.heskes at science.ru.nl Thu May 19 16:57:30 2022 From: t.heskes at science.ru.nl (Tom Heskes) Date: Thu, 19 May 2022 22:57:30 +0200 Subject: Connectionists: Assistant Professor of Machine Learning at the Radboud ELLIS unit Message-ID: <3f3fba12-d9bb-4590-cf96-164c0dea8caf@science.ru.nl> At the ELLIS unit of Radboud University, we are looking for an Assistant Professor of Machine Learning to join our team. We offer a great environment, with many researchers across campus working on the latest developments in machine learning as well as excellent opportunities to join and setup collaborations in other domains, such as healthcare, linguistics, natural science, and industry. Your (tenured) position within the Institute for Computing and Information Sciences, one of the top computer science departments in the Netherlands, comes with a start-up package including two PhD positions to boost your research. The university takes pride in providing excellent employment conditions that help you achieve a good work-life balance. If you are interested, please check out https://www.ru.nl/werken-bij/vacature/details-vacature/?ruid=1551 and feel encouraged to apply (deadline June 15)! Best wishes, Tom Heskes From pkoprinkova at yahoo.com Fri May 20 03:48:36 2022 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Fri, 20 May 2022 07:48:36 +0000 (UTC) Subject: Connectionists: CFP: INISTA 2022 References: <1530917402.683157.1653032916479.ref@mail.yahoo.com> Message-ID: <1530917402.683157.1653032916479@mail.yahoo.com> The 16th International Conference on INnovation in Intelligent SysTems and Applications (INISTA 2022)August 8th ? 12th, 2022, Biarritz, France,?Technically co-sponsored by IEEE SMC Society http://inista.org Topics: The topics of interest cover the entire spectrum of the multi-disciplinary fields of intelligent systems and related applications.? Papers must be prepared using IEEE templates for conference proceedings.? All papers should be submitted via Easychair:?https://easychair.org/conferences/?conf=inista2022 Important Dates: (Revised) Full Paper Submission (Extended): June 1st, 2022 Notification of Acceptance: June 23th, 2022 Camera-ready Submission & Registration: June 27th, 2022 Publication: Accepted papers will appear in the conference proceedings (IEEE XPlore), and be indexed in the Web of Science Core Collection databases.. The authors of selected best papers will be invited to extend their contributions for special issues.? Hybrid Mode: The conference is organized in a Hybrid mode which allows for both on-site paper presentations and online presentations. The on-site part is the main mode of the hybrid conference. The online part is held for those participants who cannot travel to France or cannot get European visa. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Fri May 20 08:56:16 2022 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Fri, 20 May 2022 14:56:16 +0200 Subject: Connectionists: CFP - IET Image Processing special issue on "Advancements in Fine Art Pattern Extraction and Recognition" [deadline 28 November 2022] Message-ID: <453c32b6-255a-8433-4ffd-05b296ccd8ab@unifi.it> apologies for multiple posting, please distribute among interested parties _________________ *Call for Papers* _______ *Special Issue of IET Image Processing on* __________ *ADVANCEMENTS in FINE ART PATTERN EXTRACTION and RECOGNITION* ___________ Aim & Scope Cultural heritage, especially fine arts, plays an invaluable role in the cultural, historical and economic growth of our societies. Fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture and architecture. In recent years, thanks to technological improvements and drastic cost reductions, a large-scale digitization effort has been made, which has led to an increasing availability of large digitized fine art collections. This availability, coupled with recent advances in pattern recognition and computer vision, has disclosed new opportunities, especially for researchers in these fields, to assist the art community with automatic tools to further analyze and understand fine arts. Among other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. This special issue aims to offer the opportunity to present advancements in the state-of-the-art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for a better understanding and fruition of fine arts, soliciting contributions from pattern recognition, computer vision, artificial intelligence and image processing research areas. The special issue will be linked to the 2nd International Workshop on Fine Art Pattern Extraction and Recognition (FAPER2022). Authors of selected conference papers will be invited to extend and improve their contributions for this special issue, and authors are also invited to submit new contributions (non-conference papers). _______________________________________ Topics include, but are not limited to: - Applications of machine learning and deep learning to cultural heritage and digital humanities - Computer vision and multimedia data processing for fine arts - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Point cloud segmentation and classification for cultural heritage - Historical document analysis - Content-based retrieval in visual art domain - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Project, products or prototypes for cultural heritage _______________________________________ *Submission Deadline*: 28 November 2022 Submissions must be made through ScholarOne: https://mc.manuscriptcentral.com/theiet-ipr see the PDF call for paper for more information: https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/17519667/Special%20Issues/IPR%20SI%20CFP_AFAPER-1651107571727.pdf ___________ Open Access From January 2021, The IET began an Open Access publishing partnership with Wiley. As a result, all submissions that are accepted for this Special Issue will be published under the Gold Open Access Model and subject to the Article Processing Charge (APC) of $2,300. APC can be covered in *FULL* or part by your institution! *CHECK? YOUR? ELIGIBILITY? HERE* https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/affiliation-policies-payments/institutional-funder-payments.html _______________ Editor-in-Chief Prof. Farzin Deravi, University of Kent, UK _____________ Guest Editors Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy Sinem Aslan, Universit? Ca' Forscari Venezia, Italy From patrick.gallinari at sorbonne-universite.fr Fri May 20 09:02:11 2022 From: patrick.gallinari at sorbonne-universite.fr (patrick Gallinari) Date: Fri, 20 May 2022 15:02:11 +0200 Subject: Connectionists: Call for submission Special Issue Entropy Journal "Physics-Based Machine and Deep Learning for PDE Models" - Dead line 30 June 2022 Message-ID: <26522104-8481-0086-5d03-50cb3a6fd210@sorbonne-universite.fr> Special Issue "Physics-Based Machine and Deep Learning for PDE Models" https://www.mdpi.com/journal/entropy/special_issues/Physics-Based_Machine Deadline for manuscript submissions:*30 June 2022* Guest Editors *Dr. Nicolas Bousquet* 1. CNRS, LPSM, Sorbonne University, 75005 Paris, France 2. EDF R&D, Industrial AI Lab SINCLAIR, Paris, France *Prof. Patrick Gallinari* 1. CNRS, ISIR, Sorbonne University, 75005 Paris, France 2. Criteo AI Lab, 75009 Paris, France Special Issue Information Machine learning has been successfully used for over a decade for applications in engineering. It has recently started to attract attention for scientific computing in domains dominated up to now by the classical mechanistic modeling paradigm. It is particularly promising for domains involving complex processes, only partially known and understood or when existing solutions are computationally not feasible. This is the case for the modeling and simulation of complex dynamical physical systems. Classical modeling relies on PDEs, and simulation is central to engineering and physical science with applications in domains such as earth systems, biology, medicine, mechanics and robotics. Traditional simulation problems involve computational fluid dynamics and turbulence modeling, mechanistic design and many other domains. Such numerical models are also used intensively in industrial systems design, in simulation for decision support, or in safety studies. They are used for inversion, data assimilation and forecasting. Despite extensive developments and promising progress, this classical paradigm suffers from limitations. It is often impossible or too costly to carry out direct simulations at the scale required for natural or industrial problems. The physics may be too complex or unknown, leading to incomplete or inaccurate models. The availability of increasingly large amounts of data, either from observations or from simulations, and the successes witnessed by ML methods on large size or large dimensional problems has opened the way for exploring the data driven modeling of complex dynamical physical phenomena. ML based techniques may accelerate simulations, acting, for example, as reduced models. More generally, a promising direction consists in integrating physics-based models with machine learning. This raises several challenges such as how to perform such decompositions, how to train such combined systems, how to handle discretization errors or guarantee numerical stability of the solutions, how to handle out-of-sample scenarios, and how to ensure physical consistency of the solutions. An additional challenge is the shift from academic case studies to realistic problems representing complex phenomena. Current solutions are most often demonstrated on simulated problems and there is still a large gap between academic and real-world developments. This Special Issue, therefore, aims to gather specialists from different disciplines and to enable the dissemination of their recent research at the crossroad of model based and data based dynamical physical system modeling and on ?physically inspired? ML models for dynamic systems. The topics of interest for publication include but are not limited to: * Deep learning; * Gaussian processes; * Uncertainty quantification; * Data-driven techniques; * PDE solving; * Spatio-temporal forecasting; * Simulation; * Computational fluid dynamics; * Graphics; * Robotics. *Manuscript Submission Information* Manuscripts should be submitted online atwww.mdpi.com byregistering andlogging in to this website . Once you are registered,click here to go to the submission form . Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on theInstructions for Authors page./Entropy/ is an international peer-reviewed open access monthly journal published by MDPI. Please visit theInstructions for Authors page before submitting a manuscript. TheArticle Processing Charge (APC) for publication in thisopen access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI'sEnglish editing service prior to publication or during author revisions. Keywords * deep learning * machine learning * PDE * neural networks * uncertainty quantification * physics-inspired meta-models * Gaussian processes -- Prof. Patrick Gallinari Sorbonne Universite - ISIR 4 place Jussieu, 75252 Paris Cedex 05, France Tel: 33144277370 -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.kollias at qmul.ac.uk Fri May 20 18:16:07 2022 From: d.kollias at qmul.ac.uk (Dimitrios Kollias) Date: Fri, 20 May 2022 22:16:07 +0000 Subject: Connectionists: (CfP) ECCV 2022: 4th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) In-Reply-To: References: Message-ID: Dear Colleagues, Please find below the invitation to contribute to the 4th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the European Conference on Computer Vision (ECCV), 2022. (1): The Competition is split into two Challenges, which are based on Aff-Wild2 database (an audiovisual in-the-wild database of 564 videos of around 2.8M frames), which is the first comprehensive benchmark annotated for different affective tasks (dimensional and categorical ones). The two Challenges are: * Multi-Task-Learning Challenge (three tasks are considered: i) valence-arousal estimation, ii) expression recognition and iii) action unit detection; a static version of Aff-Wild2 database is used) * Learning from Synthetic Data Challenge (the task considered is basic expression recognition; the data used are generated from Aff-Wild2) Participants are invited to participate in at least one of these Challenges. There will be one winner per Challenge; the top-3 performing teams of each Challenge will have to contribute paper(s) describing their approach, methodology and results to our Workshop; the accepted papers will be part of the ECCV 2022 proceedings; all other teams are also encouraged to submit paper(s) describing their solutions and final results; the accepted papers will be part of the ECCV 2022 proceedings. More information about the Competition can be found here. Important Dates: * Call for participation announced, team registration begins, data available: 18 May, 2022 * Final submission deadline: 20 July, 2022 * Winners Announcement: 22 July, 2022 * Final paper submission deadline: 27 July, 2022 * Review decisions sent to authors; Notification of acceptance: 17 August, 2022 * Camera ready version deadline: 22 August, 2022 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Viktoriia Sharmanska, University of Sussex, UK Elnar Hajiyev, Realeyes - Emotional Intelligence (2): The Workshop solicits contributions on the recent progress of recognition, analysis, generation and modelling of face, body, and gesture, while embracing the most advanced systems available for face and gesture analysis, particularly, in-the-wild (i.e., in unconstrained environments) and across modalities like face to voice. In parallel, this Workshop will solicit contributions towards building fair models that perform well on all subgroups and improve in-the-wild generalisation. Original high-quality contributions, including: - databases or - surveys and comparative studies or - Artificial Intelligence / Machine Learning / Deep Learning / AutoML / (Data-driven or physics-based) Generative Modelling Methodologies (either Uni-Modal or Multi-Modal; Uni-Task or Multi-Task ones) are solicited on the following topics: i) "in-the-wild" facial expression or micro-expression analysis, ii) "in-the-wild" facial action unit detection, iii) "in-the-wild" valence-arousal estimation, iv) "in-the-wild" physiological-based (e.g.,EEG, EDA) affect analysis, v) domain adaptation for affect recognition in the previous 4 cases vi) "in-the-wild" face recognition, detection or tracking, vii) "in-the-wild" body recognition, detection or tracking, viii) "in-the-wild" gesture recognition or detection, ix) "in-the-wild" pose estimation or tracking, x) "in-the-wild" activity recognition or tracking, xi) "in-the-wild" lip reading and voice understanding, xii) "in-the-wild" face and body characterization (e.g., behavioral understanding), xiii) "in-the-wild" characteristic analysis (e.g., gait, age, gender, ethnicity recognition), xiv) "in-the-wild" group understanding via social cues (e.g., kinship, non-blood relationships, personality) xv) editing, manipulation, image-to-image translation, style mixing, interpolation, inversion and semantic diffusion for the afore mentioned cases xvi) subgroup distribution shift analysis in affect recognition xvii) subgroup distribution shift analysis in face and body behaviour xviii) subgroup distribution shift analysis in characteristic analysis Accepted workshop papers will appear at ECCV 2022 proceedings. Important Dates: Paper Submission Deadline: 27 July, 2022 Review decisions sent to authors; Notification of acceptance: 17 August, 2022 Camera ready version 22 August, 2022 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Viktoriia Sharmanska, University of Sussex, UK Elnar Hajiyev, Realeyes - Emotional Intelligence In case of any queries, please contact d.kollias at qmul.ac.uk Kind Regards, Dimitrios Kollias, on behalf of the organising committee ======================================================================== Dr Dimitrios Kollias, PhD, MIEEE, FHEA Lecturer (Assistant Professor) in Artificial Intelligence Member of Multimedia and Vision (MMV) research group Member of Queen Mary Computer Vision Group Associate Member of Centre for Advanced Robotics (ARQ) Academic Fellow of Digital Environment Research Institute (DERI) School of EECS Queen Mary University of London ======================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Sat May 21 02:30:40 2022 From: nemanja at temple.edu (Nemanja Djuric) Date: Sat, 21 May 2022 06:30:40 +0000 Subject: Connectionists: 2nd CfP - AdKDD @ KDD2022 Message-ID: Call for Workshop Papers AdKDD 2022 in conjunction with The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) Washington DC, August 14th-18th, 2022 http://www.adkdd.org ?Today, the average consumer spends ~8 hours a day across all devices interacting with online content almost entirely sponsored by advertisements. At over $360B global market size in 2022, online advertising has already surpassed traditional ads in global spend. Moreover, computational advertising in particular is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads help us enrich our lives and creep us out when done badly. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving, however, from ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences in news feeds on mobile devices and even on TV?all utilizing data amassed from petabytes of stored user data. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of fifteen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you virtually or in-person to discuss the past, present, and future of computational advertising! Topics: The workshop focuses on three main aspects of computational advertising. ? Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers, and others, challenge the traditional notions of advertising. There also continue to exist controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. ? Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. ? Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data and audience insights, as well as position papers on the future of online advertising. Submission Instructions: Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be eligible to be published in the ACM Digital Library and will be archived on the AdKDD website. Please note: All of the attendees need to register through the main conference of KDD. In addition, in line with earlier KDD workshops, we do not provide separate registration only for the workshop itself. Important Deadlines: Submission : May 26th, 2022 Decisions : June 19th, 2022 Camera-ready : June 26th, 2022 Video Submission: July 24, 2022 Workshop : August 15th, 2022 Best Paper Awards: We are happy to announce that we will award the best accepted papers for this year?s workshop. Details are to be disclosed shortly. Submission Website: https://easychair.org/conferences/?conf=adkdd2022 Program Committee Chairs: Abraham Bagherjeiran (eBay) Kuang-chih Lee (Alibaba) Kun Liu (Amazon) Kexin Xie (Salesforce) Linsey Pang (Walmart Labs) Mihajlo Grbovic (AirBnB) Nemanja Djuric (Aurora Innovation) Suju Rajan (Amazon) Vladan Radosavljevic (Spotify) Wei Liu (University of Technology Sydney) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From maanakg at gmail.com Fri May 20 10:57:33 2022 From: maanakg at gmail.com (Maanak Gupta) Date: Fri, 20 May 2022 09:57:33 -0500 Subject: Connectionists: Call for Participation: 27th ACM Symposium on Access Control Models and Technologies Message-ID: Dear Colleagues It is our great pleasure to invite you to attend and participate in the ACM Symposium on Access Control Models and Technologies (SACMAT), 2022. Due to pandemic uncertainties, we are having a fully VIRTUAL conference. The ACM Symposium on Access Control Models and Technologies (SACMAT) is the premier forum for the presentation of research results and experience reports on leading edge issues of access control, including models, systems, applications, and theory. Website: https://sacmat.dista.uninsubria.it/2022/index.php Registration: https://sacmat.dista.uninsubria.it/2022/registration.php Program: https://sacmat.dista.uninsubria.it/2022/advance.php Keynote: https://sacmat.dista.uninsubria.it/2022/invitedspeakers.php We have a very exciting line of papers to be presented during the conference. Looking forward to meeting everyone virtual at SACMAT 22. Let us know if you have any questions. Regards -Maanak Gupta -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Sat May 21 10:39:10 2022 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sat, 21 May 2022 16:39:10 +0200 Subject: Connectionists: CfP ACAIN 2022, 2nd Int. Advanced Course on Artificial Intelligence & Neuroscience, Sept 18-22, Certosa di Pontignano, Tuscany - Deadline: July 18 In-Reply-To: References: Message-ID: _______________________________________________________________ Call for Participation (apologies for cross-postings) Please distribute this call to interested parties, thanks. _______________________________________________________________ The 2nd International Advanced Course on #ArtificialIntelligence & #Neuroscience - #ACAIN2022 September 18-22 Certosa di Pontignano, Castelnuovo Berardenga #Tuscany https://acain2022.artificial-intelligence-sas.org acain at icas.cc Past Edition: https://acain2021.artificial-intelligence-sas.org LECTURERS: * Marvin M. Chun, Yale University, USA * Ila Fiete, MIT, USA * Karl Friston, University College London, UK * Wulfram Gerstner, EPFL, Switzerland * M?t? Lengyel, Cambridge University, UK * Max Erik Tegmark, MIT, USA & Future of Life Institute * Michail Tsodyks, Institute for Advanced Study (IAS) Princeton, USA More Lecturers and Speakers to be announced soon! https://acain2022.artificial-intelligence-sas.org/course-lecturers/ Early Registration (Course): by Monday July 18 (AoE) https://acain2022.artificial-intelligence-sas.org/registration/ SCOPE & MOTIVATION: The ACAIN 2022 is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields. The Advanced Course on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion residential (or online) Course and Symposium at the Certosa di Pontignano (Tuscany - Italy) on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their peers, in a friendly and constructive environment. Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy and efficient cooperation between the two research communities. The Event will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. COURSE DESCRIPTION: https://acain2022.artificial-intelligence-sas.org/course-description/ VENUE & ACCOMMODATION: https://acain2022.artificial-intelligence-sas.org/venue/ https://acain2022.artificial-intelligence-sas.org/accommodation/ The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php Contact person: Dr. Lorenzo Pasquinuzzi You need to book your accommodation at the venue and pay the amount for accommodation directly to the Certosa di Pontignano. ACTIVITIES: https://acain2022.artificial-intelligence-sas.org/activities/ REGISTRATION: https://acain2022.artificial-intelligence-sas.org/registration/ See you in 3D or 2D :) in Tuscany in September! ACAIN 2022 Directors. Past Edition: https://acain2021.artificial-intelligence-sas.org POSTER: https://acain2022.artificial-intelligence-sas.org/wp-content/uploads/sites/21/2022/02/poster-ACAIN-2022.png NEWS: https://acain2022.artificial-intelligence-sas.org/category/news/ E: acain at icas.cc W: https://acain2022.artificial-intelligence-sas.org * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 21 11:40:10 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 21 May 2022 17:40:10 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Summer: early registration June 14 Message-ID: <1074231590.1353210.1653147610184@webmail.strato.com> ****************************************************************** 6th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2022 Summer Las Palmas de Gran Canaria, Spain July 25-29, 2022 https://irdta.eu/deeplearn/2022su/ ***************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: June 14, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Bournemouth, and Guimar?es. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 21 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/index.php?option=com_k2&view=item&layout=item&id=360&Itemid=896 STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wahid Bhimji (Lawrence Berkeley National Laboratory), Deep Learning on Supercomputers for Fundamental Science Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), Machine Learning -- A Paradigm Shift in Human Thought!? Kate Saenko (Boston University), Overcoming Dataset Bias in Deep Learning PROFESSORS AND COURSES: Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning: From Theory to Applications in the Natural Sciences Arindam Banerjee (University of Illinois Urbana-Champaign), [intermediate/advanced] Deep Generative and Dynamical Models Mikhail Belkin (University of California San Diego), [intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation Arthur Gretton (University College London), [intermediate/advanced] Probability Divergences and Generative Models Phillip Isola (Massachusetts Institute of Technology), [intermediate] Deep Generative Models Mohit Iyyer (University of Massachusetts Amherst), [intermediate/advanced] Natural Language Generation Irwin King (Chinese University of Hong Kong), [intermediate/advanced] Deep Learning on Graphs Vincent Lepetit (Paris Institute of Technology), [intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding Dimitris N. Metaxas (Rutgers, The State University of New Jersey), [intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis Sean Meyn (University of Florida), [introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design Louis-Philippe Morency (Carnegie Mellon University), [intermediate/advanced] Multimodal Machine Learning Wojciech Samek (Fraunhofer Heinrich Hertz Institute), [introductory/intermediate] Explainable AI: Concepts, Methods and Applications Clara I. S?nchez (University of Amsterdam), [introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare Bj?rn W. Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Jonathon Shlens (Apple), [introductory/intermediate] An Introduction to Computer Vision and Convolution Neural Networks [virtual] Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Csaba Szepesv?ri (University of Alberta), [intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman's Curse of Dimensionality 1. Murat Tekalp (Ko? University), [intermediate/advanced] Deep Learning for Image/Video Restoration and Compression Alexandre Tkatchenko (University of Luxembourg), [introductory/intermediate] Machine Learning for Physics and Chemistry Li Xiong (Emory University), [introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning Ming Yuan (Columbia University), [intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 17, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 17, 2022. ORGANIZING COMMITTEE: Marisol Izquierdo (Las Palmas de Gran Canaria, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Sat May 21 13:58:58 2022 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Sat, 21 May 2022 19:58:58 +0200 Subject: Connectionists: =?utf-8?q?Open_positions_for_AI_/_ML_professors_a?= =?utf-8?q?t_FHWS_in_W=C3=BCrzburg=2C_Germany?= Message-ID: We are creating a new center on artificial intelligence in Wuerzburg, Germany (CAIRO) with multiple open positions << W2 Professorship in Mathematical Foundations of Trustful Learning >> (with funding to establish your own group) * English - Announcement: https://www.fhws.de/forschung/institute/idee/center/cairo/karriere/ (on the main page - W2 Professorship in Mathematical Foundations of Trustful Learning) * German - Announcement: https://stellen.fhws.de/jobposting/4a106eca93f4beee3be7c5c127aa6064c679fbc20?ref=homepage (Please apply via the provided link to our online application system) The positions are located here in Wuerzburg and the teaching is in in English only (it is necessary to learn some German in the first two 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). 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 marcin at amu.edu.pl Sun May 22 11:44:30 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 22 May 2022 17:44:30 +0200 Subject: Connectionists: Data Mining Competition -- few more days to submit solution -- prize 1000 USD In-Reply-To: References: Message-ID: <1226f065-9233-9e83-f604-c7e59a40eb60@amu.edu.pl> Dear Colleague, FedCSIS 2022 Challenge: Predicting the Costs of Forwarding Contracts is coming to an end, but that doesn't mean you can't take part in it anymore. All you have to do is sign up and submit your solutions by May 27th. We strongly encourage you to do so, because the cash prizes and the opportunity to present your results at the FedCSIS conference are still within reach, you just have to try to grab them. This year's data mining challenge revolves around predicting the costs related to the execution of forwarding contracts. Prepared data sets contain 6 years of orders history and details such as the type of contract, basic characteristics of the shipped goods (i.e. dimensions, special requirements), and the expected route that a driver will have to cover. The main task of the competition is to develop a predictive model assessing the actual costs of individual contracts as accurately as possible. The competition is organized on the Knowledge Pit platform which is a platform for organizing contests in the field of data science. It gives students and scientists from all over the world the possibility to solve real life, often business-related, problems. SCHEDULE AND DEADLINES: May 27, 2022 (23:59 GMT): deadline for submitting the predictions, May 29, 2022 (23:59 GMT): deadline for sending the reports, end of the competition, June 03, 2022: online publication of the final results, sending invitations for submitting short papers for the special session at FedCSIS'22 July 01, 2022: deadline for submitting invited papers July 08, 2022: notification of paper acceptance July 21, 2022: camera-ready of papers, and registration to the conference accepted due AWARDS: Authors of the top-ranked solutions (based on the final evaluation scores) will be awarded prizes funded by our sponsors: 1,000 USD for the winning solution (+ the cost of one FedCSIS 2022 registration) 500 USD for the 2nd place solution (+ the cost of one FedCSIS 2022 registration) 250 USD for the 3rd place solution (+ the cost of one FedCSIS 2022 registration) Moreover, Control System Software may award an additional prize (250 USD + the cost of one FedCSIS 2022 registration) to the team that develops the most practical solution to the task. REGISTER HERE: https://knowledgepit.ai/fedcsis-2022-challenge/ Contact KnowledgePit Team at: contact at knowledgepit.ai Please feel free to forward this announcement to your colleagues and associates who could be interested in it. From natalia.tomashenko at univ-avignon.fr Sat May 21 17:31:18 2022 From: natalia.tomashenko at univ-avignon.fr (Natalia Tomashenko) Date: Sat, 21 May 2022 23:31:18 +0200 Subject: Connectionists: 2nd Symposium on Security and Privacy in Speech Communication: Extended paper submission deadline Message-ID: <9033042e-cc2a-0059-6aac-bd500487b95d@univ-avignon.fr> Dear list, The long paper submission deadline for the**Symposium on Security and Privacy in Speech Communication**is extended to*June 15.* ========================================= * *2nd Symposium on Security and Privacy in Speech Communication joint with 2ndVoicePrivacy Challenge Workshop*(ISCAINTERSPEECH 2022 satellite event ) * https://symposium2022.spsc-sig.org/ * *June 15 (Extended?deadline)*? Paper submission deadline * September 23-24 ? Workshop ========================================= The second edition of the?Symposium on Security & Privacy in Speech Communication?(SPSC) is joined with the 2nd?VoicePrivacy Challenge?workshop. The symposium addresses interdisciplinary topics and aims to bring together researchers and practitioners across multiple disciplines including signal processing, cryptography, security, human-computer interaction, law, and anthropology. All accepted submissions will appear in the?conference proceedings published in ISCA Archive. The workshop will take place mainly in person at the Incheon National University (Korea) with additional support of participants willing to join virtually. *Important dates* * *June 15 (Extended deadline)*? Long paper submission deadline * *June 15*? VoicePrivacy Challenge paper and short paper submission deadline * *July 1*? Author notification * *July 31*? VoicePrivacy Challenge results and system description submission deadline * *September 5*? Final paper submission * *September 23-24*? SPSC Symposium at the Incheon National University, Korea *Topics of interest* * Privacy-preserving speech communication o speech recognition and spoken language processing o speech perception, production and acquisition o speech synthesis and spoken language generation o speech coding and enhancement o speaker and language identification o phonetics, phonology and prosody o paralinguistics in speech and language * Cybersecurity o privacy engineering and secure computation o network security and adversarial robustness o mobile security o cryptography o biometrics * Privacy-preserving machine learning o federated learning o disentangled representations o differential privacy * Natural language processing o web as corpus, resources and evaluation o tagging, summarization, syntax and parsing o question answering, discourse and pragmatics o machine translation and document analysis o linguistic theories and psycholinguistics o inference of semantics and information extraction * Human-computer interfaces (speech as medium) o usable security and privacy o ubiquitous computing o pervasive computing and communication o cognitive science * Ethics and law o privacy and data protection o media and communication o identity management o electronic mobile commerce o data in digital media * Digital humanities o acceptance and trust studies o user experience research on practice o co-development across disciplines o data-citizenship o situated ethics o STS perspectives -------------- next part -------------- An HTML attachment was scrubbed... URL: From symvou at gmail.com Mon May 23 05:47:42 2022 From: symvou at gmail.com (Panagiotis Symvoulidis) Date: Mon, 23 May 2022 11:47:42 +0200 Subject: Connectionists: CFP: Frontiers research topic on Neural Dynamics and Behavior in Freely Moving Animals (DL:2022.10.30) Message-ID: Dear Colleagues, We are organizing the Frontiers Research Topic below, aiming to create a collection of articles across the whole field of neuroscience studies of freely moving animals. Please *consider submitting* your related work and *sharing the call* with potentially interested colleagues. Apologies for the cross-post. *The Brain in Action: Neural Dynamics and Behavior in Freely Moving Animals* *Link*: https://www.frontiersin.org/research-topics/20697/the-brain-in-action-neural-dynamics-and-behavior-in-freely-moving-animals *Details: *Understanding the neural basis of complex behaviors is a primary aim of neuroscience. However, until recently, the field lacked an appropriate set of techniques for simultaneously measuring neural activity and behavior in freely moving animals, forcing investigators to use immobilized animals performing simplistic behavioral tasks. Synergistic technological breakthroughs in fluorescent brain imaging and behavioral tracking approaches have paved the way to a new type of neuroscience that enables tracking behavior in setups compatible with brain imaging and manipulation, even at the single-cell level, using optical electrophysiology techniques. A diversity of such neurobehavioral imaging systems have been recently invented, spanning the range of conventional model organisms including C. Elegans, Flies, Zebrafish, and Rodents. Each species and approach showcases unique technical challenges, achievements, and opportunities. Our aim with this Research Topic is to provide an overview of this new field. We will present not only the technological advances but also discuss the novel type of experiments and insights that they promise. To achieve that, we welcome articles that span the following categories: i) Algorithms and imaging systems for tracking and quantifying complex behaviors of freely moving animals; ii) Molecular tools and microscopes, enabling capturing or manipulating neuronal dynamics. Such systems could include tracking or large field of view microscopes in small animals, head-mounted mini scopes and fiber-based systems for mammalian models, -or non-optical methods; iii) Neuroscience studies, using such tools to generate neurobehavioral datasets (ideally shareable with the community) and new biological findings; iv) Perspective articles on the future possibilities of such systems are also welcome -including ones that discuss alternatives approaches; v) Analysis pipelines and computational neuroscience frameworks exploiting the produced datasets, along with ways to integrate them with existing ( or future) knowledge and techniques. *Keywords*: Brain Imaging, Behavioral Tracking, Quantitative Behavior, Neuronal Dynamics, Freely Moving *Participating Journals:*Frontiers in Neuroscience Frontiers in Neuroimaging *Guest Editors Team:* Prof. Gershow, Prof. Venkatachalam, Dr. Marshall, and Dr. Symvoulidis *Deadline:*30 October 20202 Best, Panos -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Tue May 24 02:15:32 2022 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 24 May 2022 11:45:32 +0530 Subject: Connectionists: Announcement of ISMSI23 and Submission for ISCMI22 Message-ID: Dear friends and esteemed colleagues, Warmest greetings from India. Our 2023 annual event: Today I am pleased to announce ISMSI 2023 conference http://ismsi.org , an annual international event of IICCI www.iicci.in The 2022 annual flagship event: Submission for 2022 9th ISCMI, the annual flagship conference of IICCI is a little more than 1 month away http://iscmi.us/ Will look forward to receiving your and also your peers' submission in the coming days. Thanks and best regards Suash Deb General Chair- ISCMI 2022 & ISMSI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Tue May 24 02:10:29 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Tue, 24 May 2022 11:40:29 +0530 Subject: Connectionists: ICONIP 2022 - Calls for Papers, Special Sessions, Tutorials and Sponsorship In-Reply-To: References: Message-ID: Dear All, I would like to cordially invite you to participate in the *29th International Conference on Neural Information Processing (ICONIP) in 2022 * which will be held in New Delhi, India during *November 22-26, 2022* (in hybrid mode). ICONIP 2022 is jointly organized by Indian Institute of Technology Indore and Indian Institute of Information Technology Allahabad, Prayagraj, India to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progresses and achievements. *Please find attached the ICONIP 2022 calls papers, special sessions, tutorials and sponsorship. * For further information, please visit the conference website: https://iconip2022.apnns.org/ Paper submission deadline: *June 15, 2022* Notification of Acceptance: *August 15, 2022 * Looking forward to seeing you in ICONIP 2022. Kind Regards, General Chair (s) - ICONIP 2022 ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 10.45). Associate Editor: Pattern Recognition, Elsevier (IF: 7.74). Action Editor: Neural Networks, Elsevier (IF: 8.05). Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21). Associate Editor: Neurocomputing, Elsevier (IF: 5.72). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.72). Associate Editor: Cognitive Computation, Springer (IF: 5.42). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: CallForSponsers-ICONIP 2022 v2.pdf Type: application/pdf Size: 415148 bytes Desc: not available URL: From ioannakoroni at csd.auth.gr Tue May 24 08:38:21 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 24 May 2022 15:38:21 +0300 Subject: Connectionists: Call for summer/fall 2022 International AI Doctoral Academy (AIDA) course proposals References: <009501d86f64$a1adbc00$e5093400$@csd.auth.gr> Message-ID: <040801d86f6b$27a9e8a0$76fdb9e0$@csd.auth.gr> Dear distinguished AI scientist, the AI Doctoral Academy (AIDA) https://www.i-aida.org/ has been organized by the 5 European Union?s Horizon2020 AI flagship projects, AI4Media, ELISE, HumanE AI NET, TAILOR, and VISION, aiming to become a reference initiative for AI education worldwide and in Europe and to implement mechanisms for inter-university sharing of AI educational assets at PhD-level. As part of the program, AIDA offers a series of courses on Artificial Intelligence and related fields given by distinguished lecturers (external ones or AIDA Lecturers from AIDA members). We invite you to contribute to this initiative for the definition of the AIDA Summer / Fall semester program. You can participate in the AIDA program by offering new or opening-up existing courses targeted to AIDA students or other students worldwide according to the participation terms of your own organization. Short/Very Short course formats (5-16 hours) are typically encouraged, while tutorials, semester courses, or asynchronous mode web courses will be considered as well, as can be seen in https://www.i-aida.org/. Accepted courses will be listed on AIDA website ( https://www.i-aida.org/) and will be advertised for free with the support of AIDA dissemination channels. These channels are very successful in boosting course registration, as it is exemplified in: https://www.i-aida.org/why-aida-courses/ AIDA course registrants may be a. external ones (e.g., undergraduate/MSc/PhD students, postdoc researchers or professionals or AI enthusiasts from all over the world) and/or b. AIDA Students (PhD students or post-doc researchers from AIDA Members). The AIDA course or seasonal school proposal application form can be found in: https://www.i-aida.org/phd-studies/short-courses/ Proposals for AIDA courses for the AIDA Summer / Fall semester program should be sent to: Prof. Alberto del Bimbo alberto.delbimbo at unifi.it, Prof. Stefano Berretti stefano.berretti at unifi.it, Prof. Pietro Pala pietro.pala at unifi.it, and Ms. Ioanna Koroni koroniioanna at csd.auth.gr no later than May 31, 2022 and will be evaluated by the AIDA Committee by June 6, 2022. Proposals for AIDA Courses should include (pls, fill in the attached document): * Course title: * Lecturer name & affiliation: * Host Institution: * Content and organization: Course details about the content. 1 paragraph * Level: (Undergraduate/Postgraduate) * Course Duration: Hours * Course Type: (Short/Semester/Lecture series/Seasonal School) * Participation terms: Registration fee policy for external (non-AIDA) students, e.g., free of charge or fee of ??? Euros. Special terms for AIDA students, e.g., discount 50% or free for X number of AIDA students. Add text for a) non-AIDA student registration and AIDA student registration/enrollment, as in (6) below. * Lectures plan: Days/time * Proposed schedule: Start date ? End date * Language: English/Other * Modality: Online/in person * Notes: Are there exams? Details on how to successfully complete the course. 1-2 sentences. * Course Link: Best regards, Stefano Berretti AIDA course planning and monitoring _______________________________ Prof. Stefano Berretti, Ph.D. Media Integration and Communication Center (MICC) & Department of Information Engineering (DINFO) University of Florence via S. Marta 3 - 50139, Florence - ITALY email: stefano.berretti at unifi.it phone: +39 055 2758529 _______________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From kripa.ghosh at gmail.com Mon May 23 13:06:45 2022 From: kripa.ghosh at gmail.com (Kripa Ghosh) Date: Mon, 23 May 2022 22:36:45 +0530 Subject: Connectionists: CFP: Symposium on Artificial Intelligence and Law (SAIL 2022) Message-ID: [apologies for cross-posting ] *Symposium on Artificial Intelligence and Law (SAIL 2022)* June 6?9, 2022 | Virtual event https://sites.google.com/view/sail-2022/ CALL FOR PARTICIPATION The 2nd edition of the Symposium on Artificial Intelligence and Law (SAIL 2022) aims to bring together experts from Industry and Academia to discuss the future of AI and Law. The Symposium aims to provide a venue for AI-Law researchers and Law practitioners to present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of AI in the Legal Domain. The Symposium is being organized by AI researchers from IIT Kharagpur, IIT Kanpur, IIT(ISM) Dhanbad, IISER Kolkata, TCG CREST, CSIRO Australia, University of Glasgow, University College London, and Law researchers from WBNUJS, Kolkata, India. == Invited talks == The symposium will have invited talks from the following eminent researchers: * Bruce Hedin - President and Director of Science, Technology, and Ethics Consulting, Hedin B Consulting, USA * Elliot Ash - Assistant Professor of Law, Economics, and Data Science at ETH Zurich's Center for Law & Economics, Switzerland * Graham McDonald - Lecturer, School of Computing Science, University of Glasgow, Scotland * Karl Branting - Chief Scientist, Machine Learning for Computational Law, The MITRE Corporation, USA * Ken Satoh - Professor, National Institute of Informatics, Japan * Michal Araszkiewicz - Department of Legal Theory, Jagiellonian University, Poland; Partner at Araszkiewicz Cicho? Araszkiewicz Law Firm, Poland * Tom Vacek - Senior Research Scientist, Thomson Reuters, USA * Trevor J.M. Bench-Capon - Honorary Visiting Professor, Department of Computer Science, University of Liverpool, UK Details are available on the symposium website https://sites.google.com/view/sail-2022/. == Participation (virtual) == Anyone interested in Law or application of AI in the legal domain is welcome to attend. Participation is free of cost, but prior registration is necessary on the symposium website (see under the "Participate" tab) by June 2. Kind Regards, *Kripabandhu Ghosh* Co-organizer SAIL 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastian.schmitt at phys.uni-goettingen.de Tue May 24 04:53:32 2022 From: sebastian.schmitt at phys.uni-goettingen.de (Sebastian Schmitt) Date: Tue, 24 May 2022 10:53:32 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Participation=3A_Algorithms_fo?= =?utf-8?q?r_Neuromorphic_Computing_from_September_6th_to_8th_2022_nearby_?= =?utf-8?q?G=C3=B6ttingen=2C_Germany?= Message-ID: Dear All! NEAL2022 is a workshop focusing on Algorithms for Neuromorphic Computing from September 6th to 8th 2022 nearby G?ttingen, Germany. We bring together experts (cf. https://neal2022.tetzlab.com/#confirmed-speakers) from the scientific fields of neuromorphic computing, computational neuroscience, and robotics to discuss requirements, problems and solutions to realize successful algorithms advancing neuromorphic computing. Despite the corona pandemic, we are striving for an in-person meeting. The venue is a resort in Volpriehausen nearby the university city G?ttingen in the heart of Germany, that is easily accessible by train and flights. PhD students onward can apply to participate in the workshop. Your work can then be presented in the poster session. If accepted, all costs, e.g. travel and accommodation, will be covered. Please refer to https://neal2022.tetzlab.com/#application for the application process. We are looking forward to your application and hope to welcome you in September in G?ttingen. Best regards from the organizers, Christian Tetzlaff, Joe Hays, Sebastian Schmitt, and Michael Fauth From marcin at amu.edu.pl Tue May 24 06:07:51 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 24 May 2022 12:07:51 +0200 Subject: Connectionists: =?utf-8?q?CFP=3A_Future_Platforms_for_Edge-Cloud_?= =?utf-8?q?Continuum_=E2=80=93_Theoretical_Foundations_and_Practical_Consi?= =?utf-8?q?derations?= In-Reply-To: References: Message-ID: Call for Papers Future Platforms for Edge-Cloud Continuum ? Theoretical Foundations and Practical Considerations (https://wfiot2022.iot.ieee.org/spes-01/) Organized within the scope of IEEE World Forum Internet of Things (WF?IoT 2022; 31 October ? 4 November 2022, Yokohama, Japan; https://wfiot2022.iot.ieee.org/) Internet of Things (IoT) is expected to bring fundamental changes to all sectors of society and economy. However, realization of the IoT vision requires data processing (stream, static, or both) in an ?optimal location? within the edge-cloud continuum. Here, it is assumed that far-edge/nano-edge devices produce data and actuate; edge/fog consist of ?heterogeneous intermediate devices?, where data can be processed, cloud/HPC facilities deliver ?unlimited? processing capabilities, while all of them jointly (and supported by resources/services/data orchestration) constitute the edge-cloud continuum. In this context, future IoT platforms will have to manage processes in multi-stakeholder, multi-cloud, federated, large-scale IoT ecosystems. Here, key challenges are related to the fact that such platforms (encompassing operating systems, up to applications), will have to jointly leverage continuous progress of multiple enabling technologies, e.g.: 5G/6G networking, privacy and security, distributed computing, artificial intelligence, trust management, autonomous computing, distributed/smart applications, data management, etc. Moreover, they must facilitate intelligent (autonomous) orchestration of physical/virtual resources and tasks, by realizing them at the ?optimal location? within the ecosystem (e.g., closer to where data is produced). To achieve this, resource-aware frugal AI is needed, to facilitate self-awareness and decision support, across heterogeneous ecosystem. Finally, it is also absolutely necessary that resource management will consider the CO2 footprint of the ecosystem and efficiently deploy data and tasks and also use multi-owner, heterogeneous sources of renewable energy. In this context, contributions addressing theoretical and practical aspects of the following topics are invited (this list is, obviously, not exhaustive): ? IoT architectures for domain agnostic user-aware, self-aware, (semi-)autonomous edge-cloud continuum platforms, including proposals for novel decentralized topologies, ad-hoc resource federation, time-triggered behaviors ? Foundations for next generation of higher-level (meta) operating systems facilitating efficient use of computing capacity across edge-cloud continuum ? Resource aware AI, including frugal AI, bringing intelligence to the edge-cloud continuum platforms (and ecosystems) ? Cognitive frameworks leveraging AI-techniques to improve optimization of infrastructure usage and services and resources orchestration ? Efficient streaming Big Data processing within large-scale IoT ecosystems ? Interoperability solutions for multi-user edge-cloud continuum platforms, capable of coping with systematically increasing complexity of connecting vast numbers of heterogeneous devices ? Federated data spaces approach for improved data governance, sovereignty and sharing ? Privacy, security, trust and data governance in competitive scenarios ? CO2 footprint reduction and efficient use of green energy in edge-cloud continuum ecosystems ? Practical aspects of resource orchestration within highly heterogeneous, large-scale edge-cloud continuum ecosystems ? Intent-based networking and its application to IoT ? Swarm intelligence for IoT-edge-cloud continuum Paper formatting and submission: Please format your contribution(s) according to the instructions found at: https://wfiot2022.iot.ieee.org/wp-content/uploads/sites/399/2022/03/03-26-2022-Technical-Peer-Reviewed-Paper-Instructions-and-Considerations-for-Submissions_YO.pdf and submit your paper to Special Session Spes-01 via: https://www.scomminc.com/pcm/wfiot/wfiot.cfm Important dates: ? Paper submission: 13 June 2022 (short extension likely, please mail me if interested) ? Acceptance Notification: 8 July 2022 ? Camera-Ready Paper Submission Deadline: 31 July 2022 Special Session Organizers: + Rajkumar Buyya, The University of Melbourne, and Manjrasoft Pvt Ltd, Melbourne, Australia, rbuyya at gmail.com + Maria Ganzha, Warsaw University of technology and Systems Research Institute, Polish Academy of Sciences, Technical Coordinator of ASSIST-IoT, M.Ganzha at mini.pw.edu.pl + Levent G?rgen, Kentyou, Grenoble, France, levent at kentyou.com + Carlos Palau, Universitat Politecnica de Valencia, Coordinator of ASSIST-IoT project, cpalau at dcom.upv.es + Marcin Paprzycki, Systems Research Institute, Polish Academy of Sciences, ASSIST-IoT Leader of Scientific Dissemination Task, marcin.paprzycki at ibspan.waw.pl + Tarik Taleb, The University of Oulu and MOSA!C Lab, Oulu, Finland, talebtarik at gmail.com From physiologicalcomputing at gmail.com Mon May 23 14:35:10 2022 From: physiologicalcomputing at gmail.com (Physiological Computing Admin) Date: Mon, 23 May 2022 19:35:10 +0100 Subject: Connectionists: PhD Position in Physiological Computing at UCL Message-ID: Outstanding students are invited to apply for a fully funded PhD studentship (4 years, UK students only) in the department of Computer Science at UCL. *Start Date*: October-December 2022 *Project Theme*: Physiological computing-powered Accessible and Assistive Technology We are seeking talented applicants who will explore an emerging research area *physiological computing* with a specific aim to develop physiological computing-powered accessible and assistive technologies, contributing to disability technology innovation. The successful candidate will be primarily supervised by Dr. Youngjun Cho (Associate Professor, UCL Computer Science) at the Global Disability Innovation Hub (WHO collaborating centre for research on Assistive Technology) & UCL Interaction Centre. The successful candidate will benefit from close collaboration with other departments, industrial partners, and external organisations. This is a full-time programme where students have regular supervision and lab meetings. The supervisor and the department will offer additional training and support when required. *Details can be found below*: https://www.findaphd.com/phds/project/phd-studentship-ucl-computer-science-physiological-computing-powered-accessible-and-assistive-technology/?p143328 -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon May 23 19:00:54 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 23 May 2022 19:00:54 -0400 Subject: Connectionists: [CFD] Call for SWSA Distinguished Dissertation Award 2022 presented at Hybrid ISWC'22 Message-ID: *SWSA Distinguished Dissertation Award* The Semantic Web Science Association (SWSA) invites applications for the 2022 SWSA Distinguished Dissertation Award. The award will be presented during the hybrid International Semantic Web Conference (ISWC), taking place on October 23-27, 2022. *Eligibility: * Eligible doctoral dissertations are those which present innovative research results related to the combination of semantics, data and the Web, which have been awarded a PhD between January 01, 2021 and June 30, 2022, and which have not previously been nominated for this award. The selection of the dissertation will be based on the originality, significance, and impact of the work. Evidence of such impact includes (but is not limited to) publications at highly selective conferences and journals in the field. *Award committee: *The award committee, which will comprise two members of SWSA and a number of external experts, will be the final arbiter in the decision process. The award committee may decide to consult additional external assessors and reserves the right to not award the prize if the applications do not meet the expected quality level. *Award: *The award includes a certificate and a 1000 euros payment. One free registration to ISWC 2022 will also be covered. In addition, IOS Press will invite the winner to publish the dissertation as a book in the "Studies on the Semantic Web" series. *Deadline:* Submissions must be submitted via easychair on or before July 1, 2022. *Application:* For details on how to apply, please see http://swsa.semanticweb.org/content/swsa-distinguished-dissertation-award Follow us on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From juyang.weng at gmail.com Tue May 24 10:08:08 2022 From: juyang.weng at gmail.com (Juyang Weng) Date: Tue, 24 May 2022 10:08:08 -0400 Subject: Connectionists: New from the MIT Press: Cognitive Robotics, edited by Angelo Cangelosi and Minoru Asada In-Reply-To: <20220524.224312.1762800273642058324.asada@otri.osaka-u.ac.jp> References: <8CC23405-5AFC-4B53-895B-0A8D7A5AB261@mit.edu> <20220524.224312.1762800273642058324.asada@otri.osaka-u.ac.jp> Message-ID: Dear Minoru and Angelo, Thank you very much for willing to accept "task-nonspecificity" and "conscious learning". I will wait a little before clarifying why "task-nonspecificity" and "conscious learning" are necessary to address the well-recognized brittleness of autonomous robots. Many people on the lists do not have sufficient time to carefully read the reasons explained in the related publications. Best regards, -John On Tue, May 24, 2022 at 9:43 AM asada+otri wrote: > Juyang, > > Long, long time no see. > > juyang.weng> I would like to congratulate on the publication of the book. > > Thanks. > > juyang.weng> I browsed the book quickly. I would like to give you some > quick feedback: > > Thank you for your quick feedback. If we have a chance to revise the > book, we may consider your points. Thanks again in advance. > > Best, > > -- Minoru and Angelo > > -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= > Minoru Asada, Vice-President of International Professional > University of Technology in Osaka > 3-3-1 Umeda, Kita-ku, Osaka 530-0001, Japan > https://www.iput.ac.jp/osaka > Tel. +81-6-6347-0111 Fax. +81-6-6345-3456 > > Minoru Asada (Specially-Appointed Professor) asada at otri.osaka-u.ac.jp > Strategic Adviser: Symbiotic Intelligent System Research Center > Open and Transdisciplinary Research Initiatives, Osaka University > https://sisrec.otri.osaka-u.ac.jp > 1-1 Yamada-Oka, Suita, Osaka 565-0871, Japan > Tel. +81-6-6879-7347 Fax. +81-6-6879-4843 > > Minoru Asada (Visiting Professor) > Chubu University Academy of Emerging Sciences > 1200 Matsumoto-cho, Kasugai, Aichi 487-8501, JAPAN > > Minoru Asada (Principal investigator) > Center for Information and Neural Networks (CiNet) > National Institute of Information and Communications Technology (NICT) > 1-4 Yamadaoka, Suita City Osaka, 565-0871 > https://cinet.jp/japanese/people/20161868/ > > -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= > > > juyang.weng> > juyang.weng> (1) About developmental robots: Missed task-nonspecificity > which is the > juyang.weng> flagship concept of Autonomous Mental Development (AMD) > published in > juyang.weng> Science 2001. For example, the six principles in Fig. 3.3 > do not include > juyang.weng> task-nonspecificity, The principles in Fig. 3.3 are vague, > not unique > juyang.weng> timewise. They appear to have appeared many times before > 2000 when > juyang.weng> computational development was discussed in Workshop on > Development and > juyang.weng> Learning. For example, what was new with "Embodiment" for > robotics at all? > juyang.weng> Is there a robot that does not have a body? One important > concept is > juyang.weng> "grounded" learning as in the acronym GENISAMA! Another > juyang.weng> unfortunate phenomena throughout the book is that I do not > see any > juyang.weng> task-nonspecific emergent representations. All the > representations that I > juyang.weng> have seen are symbolic in nature. > juyang.weng> > juyang.weng> (2) The material in the book does not seem to give hope to > end the > juyang.weng> brittleness of robotics. Chapter 23 does not provide any > architectures nor > juyang.weng> algorithms for conscious learning. Developmental Networks, > DN-1, DN-2 and > juyang.weng> now DN-3 suggest that conscious learning is a necessary > condition for > juyang.weng> animals to develop animal-like intelligence (and awareness of > the external > juyang.weng> world and self). From the following paper, robots seem to > need conscious > juyang.weng> learning to end their high brittleness (e.g., igerant about > whether it is > juyang.weng> doing any task well). I have received some strong > resistance to > juyang.weng> conscious learning (e.g., not willing to even review), but > this resistance > juyang.weng> to new science should fail soon like any resistances to new > sciences. > juyang.weng> > juyang.weng> (3) I looked through the book series that Ron Arkin edited. > I was in his > juyang.weng> office about an AMD book that I was writing. The book > series that Ran > juyang.weng> Arkin edits lacks task-nonspecificity and also conscious > learning. Maybe > juyang.weng> the series can improve soon if Ron is open minded. > juyang.weng> > juyang.weng> J. Weng, "An Algorithmic Theory of Conscious Learning", in > Proc. 2022 3rd > juyang.weng> International Conf. on Artificial Intelligence in Electronics > Engineering, > juyang.weng> pp. 1-10, Bangkok, Thailand, Jan. 21-23, 2022. PDF file > juyang.weng> < > http://www.cse.msu.edu/~weng/research/ConsciousLearning-AIEE22rvsd-cite.pdf > > > juyang.weng> . > juyang.weng> > juyang.weng> Best regards, > juyang.weng> -John > juyang.weng> --- > juyang.weng> Juyang (John) Weng > > -- Juyang (John) Weng -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Tue May 24 01:51:43 2022 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Tue, 24 May 2022 07:51:43 +0200 Subject: Connectionists: PhD in privacy and fairness in AI Message-ID: We are looking for a PhD student to join our group on reinforcement learning and decision making under uncertainty more generally, at the University of Neuchatel, Switzerland. Within the area, we are looking for candidates with a strong research interest in the following fields: - Theory of differntial privacy. - Algorithms for differentially private machine learning. - Algorithms for fairness in machine learning. - Interactions between machine learning and game theory. - Inference of human models of fairness or privacy. To apply: https://www.unine.ch/files/live/sites/inst_iiun/files/PhDposition_IIUN.pdf Starting date: 1 September 2022 or soon afterwards. Application deadline: 31 May 2022. -- Christos Dimitrakakis https://sites.google.com/site/christosdimitrakakis/ From doya at oist.jp Tue May 24 02:29:29 2022 From: doya at oist.jp (Kenji Doya) Date: Tue, 24 May 2022 06:29:29 +0000 Subject: Connectionists: International Symposium on AI and Brain Science 2022: Call for poster abstracts and registration In-Reply-To: <10aa717486204203b12f9e4531c2523e@TYCPR01MB8013.jpnprd01.prod.outlook.com> References: <916FC83D-F915-43D0-87CB-631685D397C2@oist.jp> <10aa717486204203b12f9e4531c2523e@TYCPR01MB8013.jpnprd01.prod.outlook.com> Message-ID: <6F1CE72C-5645-460F-96EB-46D751608563@oist.jp> We are pleased to announce the International Symposium on AI and Brain Science 2022 on July 4th and 5th at Okinawa Institute of Science and Technology http://www.brain-ai.jp/symposium2022/ as a satellite event for Neuro2022 at Okinawa Convention Center from June 30th to July 3rd. https://neuro2022.jnss.org/en/ The symposium is on-site/online hybrid and we are calling for on-site poster presentations by June 1st. Please note that all foreign nationals currently need a visa to enter Japan and if you need a visa application support, please submit your abstract by May 25th, i.e. immediately. Attendance is free, but registration is required by June 15th from the web site: http://www.brain-ai.jp/symposium2022/registration/ Tentative Program: time in JST=GMT+9 9:00 Registration 9:40 Opening: Kenji Doya 10:00-12:00 Session 1: AI for Brain Science Maneesh Sahani, Angela Langdon, Xiao-Jing Wang, Terrence Sejnowski 12:00-14:00 Lunch and Poster Session 14:00-16:00 Session 2: Biological and robotic motor control Tetsuya Ogata, Tom Macpherson, Jun Izawa, Rieko Osu 16:30-18:30 Session 3: Brain-inspired AI Masashi Sugiyama, Matthew Botvinick, Yutaka Matsuo 10:00-12:00 Session 4: AI, Brain, and Society Patricia Churchland, Yoshua Bengio, Ryota Kanai, Ai Koizumi 12:00-13:00 Lunch and Poster Session 13:00-15:00 Session 5: Natural and artificial consciousness Hideaki Shimazaki, Keisuke Suzuki, Makiko Yamada, Tadahiro Taniguchi 15:30-17:30 Session 6: Bayesian Brain and Computational Psychiatry Jun Tani, Karl Friston, Yuichi Yamashita, Misako Komatsu 17:30-18:00 General Discussion - Closing Hope to see many of you in Okinawa, or online. Co-organizers: Kenji Doya (Okinawa Institute of Science and Technology) Karl Friston (University College London) Hiroaki Gomi (NTT Communication Science Laboratories) Takao Hensch (The University of Tokyo International Research Center for Neurointelligence) Maneesh Sahani (Gatsby Computational Neuroscience Unit) Masashi Sugiyama (RIKEN Center for Advanced Intelligence Project) Tadahiro Taniguchi (Ritsumeikan University) Naotsugu Tsuchiya (Monash University) ---- Kenji Doya > Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu -------------- next part -------------- An HTML attachment was scrubbed... URL: From tanya.brown at ae.mpg.de Wed May 25 07:21:57 2022 From: tanya.brown at ae.mpg.de (Brown, Tanya) Date: Wed, 25 May 2022 11:21:57 +0000 Subject: Connectionists: New Lecture Series :: Mindvoyage Message-ID: <9991037deef44de9a84ecf21fef4b649@ae.mpg.de> [cid:011b2edb-f841-44d5-9e63-9e0660fe23ff] The Mindvoyage lecture series features prominent scholars from different disciplines including the humanities, biology, neuroscience and physics. Talks are dedicated to engaging in discussions related to novel, distinct and often controversial topics. The inaugural talk by Dani S Bassett will take place on June 2 @ 16:00 CET All are welcome, but registration is required. CLICK HERE TO REGISTER [cid:7928e7b7-6a4b-44c6-8e86-8408b9a6f22d] Abstract | The Curious Human The human mind is curious. It is strange, remarkable, and mystifying; it is eager, probing, questioning. Despite its pervasiveness and its relevance for our well-being, scientific studies of human curiosity that bridge both the organ of curiosity and the object of curiosity remain in their infancy. In this talk, I will integrate historical, philosophical, and psychological perspectives with techniques from applied mathematics and statistical physics to study individual and collective curiosity. In the former, I will evaluate how humans walk on the knowledge network of Wikipedia during unconstrained browsing. In doing so, we will capture idiosyncratic forms of curiosity that span multiple millennia, cultures, languages, and timescales. In the latter, I will consider the fruition of collective curiosity in the building of scientific knowledge as encoded in Wikipedia. Throughout, I will make a case for the position that individual and collective curiosity are both network building processes, providing a connective counterpoint to the common acquisitional account of curiosity in humans. Registration Link https://www.aesthetics.mpg.de/institut/veranstaltungen/mindvoyage/mindvoyage-detailansicht/article/mindvoyage-01-dani-s-bassett.html Hosted by Lucia Melloni and Tanya Brown from the Max Planck Institute for Empirical Aesthetics, on behalf of the ARC-COGITATE Consortium. My working hours may not be yours, respond in your own time Tanya Brown Scientific Coordinator | ARC-Cogitate Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14, 60322 Frankfurt am Main, Germany tanya.brown at ae.mpg.de [1622818538171] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OutlookEmoji-162281853817149210eb3-7d6b-420c-99bf-7354f7d05729.png Type: image/png Size: 19053 bytes Desc: OutlookEmoji-162281853817149210eb3-7d6b-420c-99bf-7354f7d05729.png URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: pastedImage.png Type: image/png Size: 186655 bytes Desc: pastedImage.png URL: From ioannakoroni at csd.auth.gr Wed May 25 02:39:53 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 25 May 2022 09:39:53 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Luc_De_Raedt?= =?utf-8?q?=3A_=E2=80=9CProbabilistic_Logics_to_Neuro-Symbolic_Arti?= =?utf-8?q?ficial_Intelligence=E2=80=9D=2C_7th_June_2022_17=3A00-18?= =?utf-8?q?=3A00_CET=2E_Upcoming_AIDA_AI_excellence_lectures?= References: <071301d86f73$23b92cd0$6b2b8670$@csd.auth.gr> <00f801d86f75$8452df30$8cf89d90$@csd.auth.gr> Message-ID: <087201d87002$3e870070$bb950150$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Luc De Raedt (KU Leuven, Belgium), a prominent AI & Robotics researcher internationally, will deliver the e-lecture: ?Probabilistic Logics to Neuro-Symbolic Artificial Intelligence?, on Tuesday 7th June 2022 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/94177102301 & Passcode: 148148 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE , Humane AI Net , TAILOR , VISION , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lecture: Prof. Jan Peters (Technische Universitaet Darmstadt, Germany), ?Robot Learning?, 21nd June 2022 17:00 ? 18:00 CET. More lecture infos in: https://www.i-aida.org/events/robot-learning/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue May 24 11:54:04 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 24 May 2022 17:54:04 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2022 PALERMO ITALY SUBMISSION DEADLINE JUNE 07, 2022 Message-ID: *11th** International Conference on Complex Networks & Their Applications* *Palermo, Italy *November 08 - 10, 2022 COMPLEX NETWORKS 2022 You are cordially invited to submit your contribution until *June 07, 2022*. *SPEAKERS* ? Lu?s A. Nunes Amaral Northwestern University USA ? Manuel Cebrian Max Planck Institute for Human Development Germany ? Shlomo Havlin Bar-Ilan University in Israel ? Giulia Iori City, University of London UK ? Melanie Mitchell Santa Fe Institute USA ? Ricard Sol? Universitat Pompeu Fabra Spain *TUTORIALS (November 07, 2022)* ? Michele Coscia IT University of Copenhagen Denmark ? Adriana Iamnitchi Maastricht University, Netherlands *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Rosario N. Mantegna (university of Palermo, Italy) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From dechter at ics.uci.edu Tue May 24 21:42:35 2022 From: dechter at ics.uci.edu (Rina Dechter) Date: Tue, 24 May 2022 21:42:35 -0400 Subject: Connectionists: The UAI 2022 competition In-Reply-To: <441571ab-73a3-2d2a-fccb-73544cbbf331@ics.uci.edu> References: <441571ab-73a3-2d2a-fccb-73544cbbf331@ics.uci.edu> Message-ID: <7a3f5e6d-b8f1-7358-df6f-912fe6eeb12d@ics.uci.edu> ** *Dear members of AI Inference and Machine Learning Communities,* * After several years of slumber, we are pleased to announce the resurrection of the UAI inference competition. This year we introduce a new machine learningcomponent to the competition (read more below). The goal of this competition is to explore our communities? various approaches to approximating quantities of graphical models such as the partition function or probability of evidence,? the MAP and the? marginal MAP values, evaluating the algorithms on an array of problems with varying difficulties. As alluded to, this year we also include a new category that hosts the machine learning challenge: multi-label classification (MLC), extending the competition to exploring various learning algorithms.? We hope this event will continue to stimulate algorithms development and especially assess the state of the art in solvers for inference and learning? in graphical models. The timeline for the competition is as follows: June, 2022 * sample benchmarks to be released * solver submission opens (June 15th) July, 2022 * solver evaluations begin August, 2022 * mid-competition update (to be announced at UAI-2022) October, 2022 * solver submissions close * final competition results announced! More information can be found on this year?s competition website: https://uaicompetition.github.io/uci-2022/ We encourage anyone interested - whether new to the field or veterans - to join!? Please reach out to us via uaicompetition at gmail.com with any questions. We look forward to hearing from you and including your solvers in the competition! UAI-2022 Competition Organizers Rina Dechter (University of California, Irvine) *Vibhav Gogate (University of Texas, Dallas)* Alexander Ihler (University of California, Irvine) Junkyu Lee (IBM Research) Bobak Pezeshki (University of California, Irvine) * -- Rina Dechter Distinguished Professor, Department of Computer Science University of California, Irvine Irvine, CA 92697-3425 (949) 824-6556 dechter at ics.uci.edu http://www.ics.uci.edu/~dechter -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Wed May 25 13:42:24 2022 From: publicity at acsos.org (ACSOS Conference) Date: Wed, 25 May 2022 13:42:24 -0400 Subject: Connectionists: ACSOS 2022: Call for Posters & Demos Message-ID: <365a335c-494c-2c44-c396-550124bae1d8@acsos.org> *** ACSOS 2022 - Call For Posters & Demos *** 3rd IEEE International Conference on Autonomic Computing and Self-Organizing Systems 19-23 September 2022 ? Online https://2022.acsos.org/https://twitter.com/ACSOSconf ********************************************** The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). For more up-to-date news, follow us at https://twitter.com/ACSOSconf! Posters or demonstrations can be submitted for evaluation in the form of an extended abstract. Submissions are limited to 2 pages including references and are required to comply with the standard IEEE Computer Society Press proceedings style guide. All submissions must present only original and unpublished work that is not currently under review at any other venue. Demonstrations must include in the abstract for the paper a link to a video of up to 5 minutes hosted in a permanent location. The video must show the existing tool or research prototype in action. Moreover, demonstrations are encouraged to include a link to a website where the source code of the produced software is available, when it is possible. *** Important Dates *** July 7, 2022: Poster & Demo submission deadline July 28, 2022: Notification to authors August 5, 2022: Camera Ready Deadline September 19-23, 2022: ACSOS Conference! Submit here: https://easychair.org/conferences/?conf=acsos2022 *** Selection Process *** All extended abstracts will be reviewed by the members of the Poster and Demo Committee and evaluated based on novelty, impact, technical soundness, relevance to the conference, and presentation. In case an extended abstract presents a software tool, the online availability of such a tool and its documentation will also be considered in the final decision by the reviewers. **** Accepted Posters & Demos *** * If selected, authors shall prepare a final camera-ready version of the extended abstract, taking into account the reviewers? feedback. The extended abstract of the selected posters and demos will be included in the ACSOS Companion Proceedings, which will be published by the IEEE Computer Society Press and made available as a part of IEEE Digital Library. At least one author of each accepted submission is required to register at the conference and present their work in the interactive poster and demo session. **** Demo Guidelines **** At the conference, since the event will be held virtually, authors will present their demos by sharing their screen in a virtual session and/or using a camera to show any other piece of equipment they may need (e.g., smart devices, sensors, actuators, robots, etc.) Software simulations or video recordings are accepted as an alternative if a real-time demo is not possible. Additionally, authors of the accepted demonstration submissions must also produce a digital poster summarizing their system and demo, following the poster guidelines. **** Poster Guidelines **** When preparing their digital posters authors are required to capture the viewer?s attention effectively by presenting in a clear and concise way the core concepts and the context of their work. Therefore, visual representations are typically the main medium of communication in a successful poster session. Few attendees will get interested in posters that are not visually appealing to then make further enquiries to their authors. If screenshots are used, please ensure that they are readable. **** Best Poster & Demo Awards **** Two prizes will be awarded, one for the best poster and one for the best demonstration. The award criteria include the quality of the submitted extended abstract and the quality of the presentation during the posters and demos session. Please see https://2022.acsos.org/track/acsos-2022-posters-and-demos for more information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From helma.torkamaan.mailists at gmail.com Thu May 26 06:22:45 2022 From: helma.torkamaan.mailists at gmail.com (Helma Torkamaan) Date: Thu, 26 May 2022 12:22:45 +0200 Subject: Connectionists: Call for Participation - ACM UMAP 2022 Message-ID: Apologies if you have received multiple copies of this announcement CALL FOR PARTICIPATION === ACM UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. For the first time in the history of the conference, UMAP ?22 will be run in a hybrid mode between **July 4-7, 2022**, with the opportunity for speakers and attendees to participate onsite or online. IMPORTANT DATES === * **Early-bird registration: May 27, 2022** * Regular registration: May 28 ? June 24, 2022 * On-site registration: from June 28, 2022 * Conference: July 4-7, 2022 REGISTRATION === Registration is open at https://www.um.org/umap2022/registration. Register on or before **May 27** to benefit from an early-bird discount! To celebrate the co-location of 3 ACM conferences in Barcelona (ACM Hypertext, ACM UMAP, and ACM WebSci), UMAP supports a joint registration discount. We also are making UMAP more equitable this year. In striving for a conference cost that is affordable for all, we also have deeply discounted rates available for those registering in countries designated by ACM as ?economically developing?. These tickets are supported by SIGWEB to provide fair access. Know more about joint registration, grants and support at https://www.um.org/umap2022/grants-and-support/ PRELIMINARY PROGRAM === **Keynotes** * **Nuria Oliver**, ELLIS Unit Alicante Foundation, Alicante, Spain * **Ben Shneiderman**, Dept of Computer Science & Human-Computer Interaction Lab, University of Maryland, College Park, MD, USA * More keynotes will be announced soon **Paper sessions** * Research papers: https://www.um.org/umap2022/accepted-papers/ * Theory, Opinion, and Reflection papers: https://www.um.org/umap2022/accepted-theory-opinion-and-reflection-papers/ **Other Sessions** * Late-breaking results: https://www.um.org/umap2022/late-breaking-results-and-demos/#lbr * Demonstrations: https://www.um.org/umap2022/late-breaking-results-and-demos/#demo * Doctoral symposium: https://www.um.org/umap2022/accepted-doctoral-consortium-papers/ **Tutorials**: https://www.um.org/umap2022/accepted-tutorials/ * Ethical Considerations in User Modeling and Personalization (ECUMAP) * Semantics-aware Content Representations for Reproducible Recommender Systems (SCoRe) * User Control in Adaptive Information Access (UCAIA) **Workshops**: https://www.um.org/umap2022/accepted-workshops/ * Adaptive and Personalized Privacy and Security (APPS) * Third International Workshop on Adapted intEraction with SociAl Robots (cAESAR) * Explainable User Modeling and Personalized Systems (ExUM 2022) * Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2022) * Workshop on Group Modeling, Adaptation and Personalization (GMAP) * 7th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE 2022) * The 13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) ? Towards Hybrid CH Experience ORGANIZATION === **General Chairs** * Alejandro Bellog?n, Universidad Aut?noma de Madrid, Spain * Ludovico Boratto, University of Cagliari, Italy * Olga C. Santos, UNED, Spain **Others Chairs**: https://www.um.org/umap2022/organization/ -- Helma Torkamaan Researcher Email: helma.torkamaan at uni-due.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From rui.costa at bristol.ac.uk Thu May 26 03:39:38 2022 From: rui.costa at bristol.ac.uk (Rui Ponte Costa) Date: Thu, 26 May 2022 07:39:38 +0000 Subject: Connectionists: Postdoc positions in NeuroAI Message-ID: We are looking for two postdocs to work on deep learning-inspired computational neuroscience at the University of Bristol, United Kingdom. There are a number of exciting topics that you could contribute to: 1. Neuromodulated cortex-wide credit assignment 2. Subcortical facilitation of cortical learning 3. Theories of self-supervised learning in cortical circuits There are also opportunities to collaborate closely with leading cellular, systems and cellular neuroscientists, but also deep learning researchers. Successful candidates should have: - a strong quantitative background - keen interest in neuroscience - obtained (or be close to) a PhD in computational neuroscience, machine learning, physics, mathematics, computer science or similar. - ability to work in a strongly collaborative and interdisciplinary field Please express your interest by sending your cv and a brief statement of research interests to rui.costa at bristol.ac.uk More info about our group at: neuralml.github.io Best wishes, Rui Ponte Costa Lecturer (Assistant Professor) in Computational Neuroscience & Machine Learning Neural and Machine Learning group Bristol Computational Neuroscience Unit, Intelligent Systems Labs Faculty of Engineering & Bristol Neuroscience, University of Bristol, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From maneetsingh18 at gmail.com Thu May 26 04:43:59 2022 From: maneetsingh18 at gmail.com (Maneet Singh) Date: Thu, 26 May 2022 14:13:59 +0530 Subject: Connectionists: [CFP] Second International Workshop on MUFin'22 at ECMLPKDD'22 Message-ID: Dear Researcher, We invite you to submit at the Second International Workshop on MUFin'22 held in conjunction with ECML-PKDD 2022. The workshop provides a platform for experts across industry and academia to discuss and present challenges, novel solutions, and pave the way for future directions in modelling sequential data uncertainty for the financial world. *We invite papers focused on modelling uncertainty for financial applications.* Topics of interest include, but are not limited to the following: *Application Topics:* - Evaluating financial risk - Forecasting stock market - Modelling seasonality in market trends - Fraud prediction - Modelling temporal social media activity - Recommendation systems - Adversarial Attacks on financial models *Technical Topics:* - Temporal/Sequential data modelling ? clustering, classification - Modelling uncertainty in financial data - Temporal graphs - Time Series Forecasting - Text analytics of financial reports, forecasts, and documents - Explainable/interpretable sequential modelling - Exploring fairness and robustness towards bias in financial models - Representation learning from temporal/sequential data - Modelling financial data as temporal point processes *Submission Deadline: 20th June 2022* Website: https://sites.google.com/view/w-mufin/home The best paper of the workshop will be awarded a *Best Paper Award* worth $500! Please refer to the website for more details. Incase of any queries, please reach out to Maneet Singh at maneet.singh at mastercard.com Best, Maneet -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Thu May 26 03:53:41 2022 From: m.plumbley at surrey.ac.uk (Mark Plumbley) Date: Thu, 26 May 2022 07:53:41 +0000 Subject: Connectionists: PhD in Machine Learning for Audio with Applications for Health and Wellbeing Message-ID: Dear Connectionists, (with apologies for cross-posting) We are recruiting for a fully-funded PhD studentship in Machine Learning for Audio with Applications for Health and Wellbeing, more details below. Please forward the information below to any potential applicants who may be interested. I would particularly like to encourage applications from women, disabled and Black, Asian and minority ethnic candidates, since these groups are currently underrepresented in our area. Many thanks, Mark --- PhD in Machine Learning for Audio with Applications for Health and Wellbeing The Surrey Institute for People-Centred Artificial Intelligence is offering a fully funded PhD in Machine Learning for Audio with Applications for Health and Wellbeing (https://www.surrey.ac.uk/fees-and-funding/studentships/machine-learning-audio-applications-health-and-wellbeing). The position will be hosted jointly in the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) and Faculty of Health and Medical Sciences (FHMS). You will also have an excellent opportunity to partake in the AI for Sound project (https://ai4s.surrey.ac.uk/) at Surrey. The PhD will be jointly supervised by Dr Ivan Kiskin, Lecturer in AI for Multimodal Health Monitoring, and Prof Mark Plumbley, Professor of Signal Processing and EPSRC Fellow in "AI for Sound". Potential topics are not limited to, but may include: * Acoustic mosquito monitoring for malaria vector mapping and intervention * Analysing the role of audio and multimodal data on the effect of sleep; using audio to categorise sleep quality, and thus determine biomarkers for disease onset prediction * Bayesian deep learning for audio classification and event detection * The effect of audio compression on ML systems To learn more about this opportunity and how to apply, please visit: https://www.surrey.ac.uk/fees-and-funding/studentships/machine-learning-audio-applications-health-and-wellbeing Application Deadline: 22 July 2022 (early applications are encouraged). Start Dates: July/October 2022 For informal enquiries, please contact Dr Ivan Kiskin (mailto:i.kiskin at surrey.ac.uk, https://www.surrey.ac.uk/people/ivan-kiskin) in the first instance. Kindest regards, Dr Ivan Kiskin Prof Mark Plumbley -- Prof Mark D Plumbley EPSRC Fellow in AI for Sound Professor of Signal Processing Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk From junfeng989 at gmail.com Fri May 27 00:15:56 2022 From: junfeng989 at gmail.com (Jun Feng) Date: Fri, 27 May 2022 00:15:56 -0400 Subject: Connectionists: CFP: The 2022 IEEE International Conference on Privacy Computing (PriComp 2022) Message-ID: CFP IEEE PriComp 2022 The 2022 IEEE International Conference on Privacy Computing Dec. 16-18, Haikou, China [Submission Deadline: Sep. 1] http://pricomp2022.privacycomputing.net PriComp 2022 is the 8th in this series of conferences started in 2015 that are devoted to algorithms and architectures for Privacy Computing. PriComp conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of Privacy Computing systems and applications. Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Xi'an, China (2020) and Shanghai, China (2021); PriComp 2022 will be held in Haikou, China. PriComp 2022 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2022 is co-organized by Hainan University, and Institute of Information Engineering, CAS, China. ================== Important Dates ================== Workshop Proposal: July 15, 2022 Paper Submission: September 01, 2022 Author Notification: October 01, 2022 Camera-Ready Submission: October 31, 2022 Conference Date: Decemeber 16-18, 2022 ================== Topics of interest include, but are not limited to ================== - Theories and foundations for privacy computing - Programming languages and compilers for privacy computing - Privacy computing models - Privacy quantification, formal description - Privacy information engineering, providers, collectors, and users - Privacy operation and modeling - Data utility and privacy loss - Context-adaptive cryptography for privacy protection - Privacy protection based information hiding and sharing - Data analytics oriented privacy control and protection - Privacy-aware information collection - Privacy sensing and distribution - Combined and comprehensive privacy protection - Privacy-preserving data publishing - Private information storage - Private integration and synergy - Private information exchange and sharing - Privacy inference and reasoning - Privacy in cloud - Privacy in online social networks - Privacy in IoT and industrial Internet - Privacy and AI - Security and privacy in CPS, CPSS, IoT - Privacy in Metaverse - Privacy in Digital Twins - Privacy Computing for Federated Learning - Differential Privacy - Privacy and Anonymity - Machine Learning and Security - Software Security, Web Security, Network Security - Privacy and blockchain - Legal issues in privacy computing and other interdisciplinary topics ================== 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 - Fenghua Li, Institute of Information Engineering, CAS, China -Laurence T. Yang, Hainan University, China -Willy Susilo, University of Wollongong, Australia Program Chairs -Hui Li, Xidian University, China -Mamoun Alazab, Charles Darwin University, Australia -Jun Feng, Huazhong University of Science and Technology, China Local Chairs -Weidong Qiu, Shanghai Jiaotong University, China -Jieren Cheng, Hainan University, China -- 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 davy.weissenbacher at gmail.com Thu May 26 13:19:46 2022 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Thu, 26 May 2022 13:19:46 -0400 Subject: Connectionists: Shared Task: Classification of changes in medication treatments in Social Media - #SMM4H'22 Message-ID: ============================= Call for shared task participation, evaluation period starts July 11, 2022 ============================= *Apologies if you received multiple copies of this CFP* Test set release Date: July 15, 2022 Important links: Shared task: https://healthlanguageprocessing.org/smm4h-2022/ Codalab: https://codalab.lisn.upsaclay.fr/competitions/2138 Task 3 ? Classification of changes in medication treatments in tweets and WebMD reviews (in English) We invite participants to design binary classifiers for detecting posts where users self-declare changing their medication treatments, regardless of being advised by a health care professional to do so. Such changes are, for example, not filling a prescription, stopping a treatment, changing a dosage, forgetting to take the drugs, etc. This task is the first step toward detecting patients non-adherent to their treatments and their reasons on Social Media. The data consists of two corpora: a set of tweets and a set of drug reviews from WebMD.com. Negative and positive reviews are naturally balanced whereas positive and negative tweets are naturally imbalanced. Each set is split into a training, a validation, and a test subset. The participants will be given the training and validation subsets for both corpora and evaluated on both test sets independently. Participants are expected to submit their predictions for both test sets. Evaluation script, annotation guidelines, and baseline code will be provided to registered participants. Training data: 5,898 Tweets / 10,378 Reviews Validation data: 1,572 Tweets / 1,297 Reviews Test data: 2,360 Tweets / 1,297 Reviews Evaluation metric: F1-score for the change class Contact All questions should be emailed to Davy Weissenbacher ( dweissen at pennmedicine.upenn.edu) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu May 26 08:05:57 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 26 May 2022 15:05:57 +0300 Subject: Connectionists: Early registration: CVML Short Course on Deep Learning and Computer Vision, 22-23th August 2022 References: <0c8b01d870cb$caf893b0$60e9bb10$@csd.auth.gr> <001401d870d2$f0bc3960$d234ac20$@csd.auth.gr> Message-ID: <0df001d870f8$f5f8e740$e1eab5c0$@csd.auth.gr> Dear Machine Learning, Computer Vision and Autonomous Systems engineers, scientists and enthusiasts, you are welcomed to register in the CVML Short e-course on Deep Learning and Computer Vision, 22-23th August 2022: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-2022/ Its focus will be on applications in autonomous systems (cars, drones, marine vessels). 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. It will contain 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 14 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (7 hours) provide a solid background on the foundational Computer Vision topics and an in-depth presentation to Autonomous Systems vision and the relevant architectures (Camera geometry, Stereo and Multiview imaging, Introduction to multiple drone systems, Simultaneous Localization and Mapping, Drone mission planning and control, Introduction to autonomous marine vehicles). Part B lectures (7 hours) provide an in-depth presentation of various Deep Learning topics (Multilayer Perceptron, Backpropagation, Deep Neural Networks, Convolutional NNs, Deep Object Detection, 2D Visual Object Tracking, Neural Slam) encountered in autonomous systems perception, ranging from vehicle localization and mapping, to target detection and tracking. Parts A, B also contain application-oriented lectures on autonomous systems embedded CPU/GPU computing and related SW tools that can be used in a wide range of applications, e.g., for land/marine surveillance, search&rescue missions, infrastructure/building inspection and modeling, cinematography. Course lectures Part A (7 hours) 1. Introduction to autonomous systems 2. Camera geometry 3. Stereo and Multiview imaging 4. Introduction to multiple drone systems 5. Simultaneous Localization and Mapping 6. Drone mission planning and control 7. Introduction to autonomous marine vehicles Part B (7 hours) 1. Multilayer perceptron. Backpropagation 2. Deep neural networks. Convolutional NNs 3. Deep object detection 4. 2D Visual Object Tracking 5. Neural Slam 6. CVML Software development tools 7. Applications in car vision Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Programming Short Course and Workshop on Deep Learning and Computer Vision 2022, 24-26th August 2022: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-2022/ You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-2022/ 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) Chair of the International AI Doctoral Academy (AIDA) 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Thu May 26 16:49:24 2022 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Thu, 26 May 2022 20:49:24 +0000 Subject: Connectionists: NEURAL NETWORKS, June 2022 Message-ID: Neural Networks - Volume 150, June 2022 https://www.journals.elsevier.com/neural-networks A differential Hebbian framework for biologically-plausible motor control Sergio Verduzco-Flores, William Dorrell, Erik De Schutter The passive properties of dendrites modulate the propagation of slowly-varying firing rate in feedforward networks Tianshi Gao, Bin Deng, Jixuan Wang, Jiang Wang, Guosheng Yi Towards improving fast adversarial training in multi-exit network Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang A class-specific mean vector-based weighted competitive and collaborative representation method for classification Jianping Gou, Xin He, Junyu Lu, Hongxing Ma, ... Yunhao Yuan Boosting the transferability of adversarial examples via stochastic serial attack Lingguang Hao, Kuangrong Hao, Bing Wei, Xue-song Tang Unsupervised feature selection via adaptive autoencoder with redundancy control Xiaoling Gong, Ling Yu, Jian Wang, Kai Zhang, ... Nikhil R. Pal Robust multi-view subspace clustering based on consensus representation and orthogonal diversity Nan Zhao, Jie Bu Attributes learning network for generalized zero-shot learning Yu Yun, Sen Wang, Mingzhen Hou, Quanxue Gao SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation Yasin Almalioglu, Mehmet Turan, Muhamad Risqi U. Saputra, Pedro P.B. de Gusm?o, ... Niki Trigoni Augmented Graph Neural Network with hierarchical global-based residual connections Asmaa Rassil, Hiba Chougrad, Hamid Zouaki Lifelong 3D object recognition and grasp synthesis using dual memory recurrent self-organization networks Krishnakumar Santhakumar, Hamidreza Kasaei A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration Learning online visual invariances for novel objects via supervised and self-supervised training Valerio Biscione, Jeffrey S. Bowers A self-learning cognitive architecture exploiting causality from rewards Hongming Li, Ran Dou, Andreas Keil, Jose C. Principe A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, Kenji Doya, ... Akira Taniguchi Deep feature fusion based childhood epilepsy syndrome classification from electroencephalogram Xiaonan Cui, Dinghan Hu, Peng Lin, Jiuwen Cao, ... Feng Gao Efficient learning rate adaptation based on hierarchical optimization approach Gyoung S. Na All by Myself: Learning individualized competitive behavior with a contrastive reinforcement learning optimization Pablo Barros, Alessandra Sciutti A BERT based dual-channel explainable text emotion recognition system Puneet Kumar, Balasubramanian Raman Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning Sam Blakeman, Denis Mareschal Predicting progression of Alzheimer's disease using forward-to-backward bi-directional network with integrative imputation Ngoc-Huynh Ho, Hyung-Jeong Yang, Jahae Kim, Duy-Phuong Dao, ... Sudarshan Pant A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks Shan Liao, Shubin Li, Jiayong Liu, Haoen Huang, Xiuchun Xiao Quasi-synchronization of fractional-order multi-layer networks with mismatched parameters via delay-dependent impulsive feedback control Yao Xu, Jingjing Liu, Wenxue Li Synchronization and state estimation for discrete-time coupled delayed complex-valued neural networks with random system parameters Yufei Liu, Bo Shen, Ping Zhang Event-triggered delayed impulsive control for nonlinear systems with application to complex neural networks Mingzhu Wang, Xiaodi Li, Peiyong Duan Universality of gradient descent neural network training G. Welper Novel projection neurodynamic approaches for constrained convex optimization You Zhao, Xiaofeng Liao, Xing He Compression of Deep Neural Networks based on quantized tensor decomposition to implement on reconfigurable hardware platforms Amirreza Nekooei, Saeed Safari Two-stage streaming keyword detection and localization with multi-scale depthwise temporal convolution Jingyong Hou, Lei Xie, Shilei Zhang Uncertainty-aware hierarchical segment-channel attention mechanism for reliable and interpretable multichannel signal classification Jiyoon Lee, Seoung Bum Kim Connectome of memristive nanowire networks through graph theory Gianluca Milano, Enrique Miranda, Carlo Ricciardi -------------- next part -------------- An HTML attachment was scrubbed... URL: From bs4226 at nyu.edu Thu May 26 23:10:53 2022 From: bs4226 at nyu.edu (Bianca Sieveritz) Date: Thu, 26 May 2022 23:10:53 -0400 Subject: Connectionists: Fourth installment of Corpus Curiosum lecture series in June Message-ID: Hey connectionists, an exciting lecture series for early-career neuroscientists is going for a fourth installment in June. Corpus Curiosum is an online lecture series aimed at young researchers with the goal to stimulate critical thinking in Neuroscience and build a network of early-career neuroscientists engaged in the topic. If you are interested in participating, you can register here or find more information in the attached flyer. Best regards, Bianca -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Corpus Curiosum Lecture Series - Edition IV - Invite .pdf Type: application/pdf Size: 2919928 bytes Desc: not available URL: From anna.kalenkova at adelaide.edu.au Fri May 27 00:02:52 2022 From: anna.kalenkova at adelaide.edu.au (Anna Kalenkova) Date: Fri, 27 May 2022 04:02:52 +0000 Subject: Connectionists: ICPM -- Call for Papers Message-ID: 4TH INTERNATIONAL CONFERENCE ON PROCESS MINING ICPM 2022 Call for Papers **************************************** The 4th International Conference on Process Mining will take place in a full week from October 23 to October 28, 2022, and is organized by the KRDB Research Centre for Knowledge of Data of the Faculty of Computer Science at the Free University of Bozen-Bolzano, Italy. The language of the conference is English, and its proceedings will be published by the IEEE Computational Intelligence Society. Papers presenting new methodologies, techniques and applications for process mining, as well as case studies coming from industrial scenarios are expected. Also, papers describing novel tools, fundamental research and empirical studies on process mining are sought. Selected accepted research papers will be considered for publication in an extended and revised form in a special issue of Information Systems (Elsevier). **************************************** Process mining techniques: Automated Discovery of Process Models Conformance/compliance Analysis Construction of Event Logs Event Log Quality Improvement Decision Mining for Processes Rule/constraint-based Process Mining Mining from non-process-aware systems / event streams Multi-perspective Process Mining Simulation/optimization for Process Mining Predictive Process Analytics Prescriptive Process Analytics and Recommender Systems Responsible Process Mining Privacy-preserving Process Mining Process Model Repair Process Performance Mining Variants/deviance Analysis and Root-cause Analysis Visual Process Analytics Process Monitoring **************************************** Process mining fundamental research: Formal Foundations of Process Mining Comparative and Benchmark Studies on Process Mining Conceptual Models Related to Process Mining Human-centered Studies on Process Mining Process Mining Quality Measures Process Mining Guidelines **************************************** Process mining applications and case studies in: Artificial Intelligence Blockchain Technologies Robotic Process Automation (RPA) Business Activity Monitoring and Business Intelligence (Cyber) Security and Privacy Operations Management and Lean Six Sigma Process Performance Measurement Process Reengineering Resource Management Risk Management Sensors, Internet-of-Things (IoT) and Wearable Devices Specific domains (such as accounting, finance, government, healthcare, manufacturing) **************************************** Abstract submission June 10, 2022 (*) Submission of Papers June 17, 2022 (*) Notification August 1, 2022 Camera-ready September 7, 2022 (*) PhD Consortium October 23, 2022 Workshops October 24, 2022 Industry Day October 26, 2022 Main Conference October 25, 27-28 2022 **************************************** Paper Submission: **************************************** Regular papers. Submissions must be original contributions that have not been published previously, nor submitted elsewhere while being submitted to ICPM 2022. All files must be prepared using the latest IEEE Computational Intelligence Society conference proceedings guidelines (8.5?? ? 11?? two-column format). The page limit is set to 8 pages (IEEE Format). All papers must be in English. Templates are available for Latex and Word here. The paper should be submitted through the following link: https://easychair.org/conferences/?conf=icpm2022 selecting the ?Research Track? option. **************************************** Demo abstracts. The extended abstract should be submitted through the ICPM 2022 submission system, which is reachable at https://easychair.org/conferences/?conf=icpm2021 where one should select ?ICPM Demo Track?. Demo abstracts must be no longer than 2 pages in PDF format and must adhere to the guidelines of IEEE Computational Intelligence Society, using the 8.5? ? 11? two-column format. Templates are available for Latex and Word: https://www.ieee.org/conferences/publishing/templates.html. Accepted submissions will be published as CEUR proceedings. All demo submissions will be reviewed by the demo reviewing committee. The reviewing committee will also vote on the best demo to be granted the ICPM 2022 Best Demo Award. **************************************** Industry Day: The ICPM Industry Day takes place on Wednesday and serves as a forum that brings together industry and academia to exchange ideas and experiences, and stimulate mutual cooperation. The target audience for that day includes business analysts, process managers, chief information officers, chief operations officers, digital transformation managers, project managers, process consultants, and industrial researchers. Workshops take place on Monday. Workshops facilitate the exchange of ideas and experiences among active researchers and vendors, and stimulate discussions on new and emerging perspectives in Process Mining. All workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). **************************************** Doctoral Consortium: PhD students working in the area of Process Mining are invited to submit their proposals for participation in a Doctoral Consortium, which will be held on Sunday, October 23, 2022. The manuscript must be written in English and prepared using the latest IEEE Computational Intelligence Society conference proceedings guidelines (8.5? ? 11? two-column format). The manuscript should not exceed the length of 2 pages and should be submitted (as a PDF file) by midnight (AoE) by September 02, 2022 via the ICPM 2022 website on EasyChair (?Doctoral Consortium? track). The accepted manuscripts will be published on a volume of CEUR-ws proceedings. **************************************** Registration: Full registration: early bird (until 15/08/2022) 450?; late 600?. Student registration: early bird (until 15/08/2022) 300?; late 400?. Industry day only: 150?. Workshop day only: 200?. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICPM 2022.pdf Type: application/pdf Size: 210944 bytes Desc: ICPM 2022.pdf URL: From Pavis at iit.it Fri May 27 05:58:31 2022 From: Pavis at iit.it (Pavis) Date: Fri, 27 May 2022 09:58:31 +0000 Subject: Connectionists: Postdoc position in Deep Learning on Graphs - IIT, Genova, Italy [Jobs] In-Reply-To: <3da004cb671f444e9b1fdea1755753bb@iit.it> References: <25445621c9774e9f99194b6d46c81855@iit.it>, <3da004cb671f444e9b1fdea1755753bb@iit.it> Message-ID: Postdoc position in Deep Learning on Graphs (2200003E) Commitment & contract: up to 18 months - collaboration contract Location: Istituto Italiano di Tecnologia, Via Enrico Melen 83,Genova - Italy WHO WE ARE At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centres around Italy and two outer-stations based in the US for a truly interdisciplinary experience. YOUR TEAM You?d be working in a multicultural and multi-disciplinary group, where Physicists, Engineers, Computer Vision and Computational Intelligence experts collaborate, each with their own expertise, to carry out common research. The Pattern Analysis and Computer Vision (PAVIS) Research Line is coordinated by Dr. Alessio Del Bue leading a team of more than 20 units working on advancing the state of the art in Computer Vision and Machine Learning. The research focuses on novel computational models related to graph neural networks and constrained deep learning to solve challenging problems in life science and physics. Within the team, your main responsibilities will be: Investigate and develop new Deep Learning methods for large-scale graph data structures Supervise PhD students WHAT WOULD MAKE YOU SHINE A PhD in Computer Science, Machine Learning, Computer Vision and similar disciplines Documented experience on the Deep Learning, with a special focus on Graph Neural Networks Strong programming ability (Python preferred) A relevant publication record The ability to properly report, organize and publish research data Documented experience in coaching junior scientists Good command in spoken and written English EXTRA AWESOME Experience on Deep Learning tools such as Pytorch, Tensorflow, etc... Knowledge of Graph Theory Good communication skills Strong problem solving attitude High motivation to learn Spirit of innovation and creativity Good in time and priority management Ability to work in a challenging and international environment Ability to work independently and collaboratively in a highly interdisciplinary environment COMPENSATION & BENEFITS Competitive salary package for international standards Private health care coverage Wide range of staff discounts Candidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years. WHAT?S IN FOR YOU? An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us! We like contamination and encourage you to mingle and discover what other people are up to in our labs! If paperwork is not your piece of cake, we got you! There?s a specialized team working to help you with that, especially during your relocation! If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations. If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society! We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission! If you feel this tickles your appetite for change, do not hesitate and apply! HOW TO APPLY Please submit your application using the online form https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2200003E and including a detailed CV, university transcripts, cover letter (outlining motivation, experience and qualifications)and contact details of 2 references. Application?s deadline: June 26, 2022 We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: +39 010 28961 - email: dpo at iit.it - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening. -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.ferone at uniparthenope.it Sat May 28 04:42:59 2022 From: alessio.ferone at uniparthenope.it (Alessio Ferone) Date: Sat, 28 May 2022 08:42:59 +0000 Subject: Connectionists: =?windows-1252?q?=93Best_App_Award_=96_Prof=2E_Al?= =?windows-1252?q?fredo_Petrosino=94_-_31_May_2022?= Message-ID: Dear, we apologize for the short notice, we want to inform you that on May 31st at 3:30 pm, an online event will be held in memory of Prof. Alfredo Petrosino. The program of the event is attached. For participation you can follow the link https://bit.ly/3a1KwsU Events Committee of the Computer Science Course at University of Naples Parthenope Alessio Ferone Antonio Maratea Livia Marcellino Maricarla Staffa -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Best App Award - Alfredo Petrosino.pdf Type: application/pdf Size: 166864 bytes Desc: Best App Award - Alfredo Petrosino.pdf URL: From tiako at ieee.org Sat May 28 18:04:40 2022 From: tiako at ieee.org (Pierre F. Tiako) Date: Sat, 28 May 2022 17:04:40 -0500 Subject: Connectionists: CFP Due July 11- CESP 2022 Enterprise and Software Process, Oct 3-6, OKC.USA.Online Message-ID: [Apologies if you receive multiple copies] 2022 OkIP International Conference on Enterprise and Software Process (CESP) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 https://eventutor.com/e/CESP002 Submission Deadline: July 11, 2022 OkIP Published & SCOPUS/WoS Indexed Extended versions of the best papers will be considered for journal publication. >> Contribution Types (One-Column IEEE Format Style) - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) >> Areas: * Agile, Hybrid, and Traditional Process - Program Analysis, Synthesis, and Repair - Specification | Design | Implementation - Selection | Adoption | Management - Innovation | Optimization | Operation - Measurement | Success | Evolution - Empirical Study |Agile Workflow System - Process across Enterprise | Hybrid Process - Agile and Non-agile Integration - Life-cycles and Functional Domains - Organization Transformation - Safety | Reliability | Process Modeling (PM) - Advanced Development Paradigms - Team-Based Software Development(SD) - Globally Distributed SD - Data Science Analysis | Agile SD - Software Deployment Process - Multithreading Process | Experience Report - Code Generation Process * Model, Method, Standard, and Architecture - SD Best Practices | Product Quality - Software Design and Development (SDD) - ISO/IEC 29110 | Generic Process - Process Model Life Cycle | Guideline - Process Improvement | Process Meta-Model - Regression Testing | Business Process Model - Requirements Elicitation and Validation - Selection Process | Business Requirement - Agile/Traditional Mixed Methodologies - Sustainability Requirement Processes - Automated Software Generation Process - Design Pattern Usage | Use Case Point - Lightening Software Processes - Process and Objectives Patterns - Business Process Architecture - Time-based PM | Unstructured PM - Process Model Verification * AI and Knowledge Management Process - Knowledge Management | Extraction - Semantic Wiki | Sentiment Analysis - Knowledge Condensation | Transfer - Bayesian Networks | Gamification Techniques - Endogenous Knowledge | Event-Based PM - Discovery and Enrichment - Expertise Capturing | Machine Learning - Data Mining Techniques | Word Embedding - Intelligent Mathematical Modeling Agent - Decision-Support PM | Linked Open Dataset - Rule-based Expert System and Ontology - Cognitive Process | Maturity Model - Lean Mindset and Thinking * Process, Application, and Tool - Process Mining Applications - DevOps Process | SDD Inclusivity - Scalability and Availability - Mobile Application | Virtual Reality - Data Modeling | Video Games - Continuous Integration Process - Deployment Tools and Frameworks - Model-Based Testing Process - Open Source SD Process - Mobile Application | DialogFlow - Workflow-based Application Integration * Human Factor and Communication Technology - Service-oriented Computing - User Profile Technique - Accessibility Requirement | Management - Usability Analysis and Design Technique - IT Governance and Management Model - SD Social and Human Factors - Monitoring and Integration - Performance Assessment - SD Virtual Reality - Blockchain | Social Networks - Smart Models Analysis | Performance Analysis - Functional Analysis and Prototype - Organizational and User Factors - Simulation and Path Planning - Clusters Model Visualization - Product Quality | Customization - Recommendation System >> Important Dates: - Submission Deadline: July 11, 2022 - Notification Due: August 01, 2022 - Camera-ready Due: August 22, 2022 >> Technical Program Committee https://eventutor.com/event/24/page/66-committee Please feel free to contact us for any inquiries at: info at okipublishing.com -------- Pierre Tiako General Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 28 05:20:55 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 28 May 2022 11:20:55 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: early registration June 16 Message-ID: <1372116499.2297423.1653729655746@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: June 16, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn 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, Guimar?es and Las Palmas de Gran Canaria. 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, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, 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 Autumn 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 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Wolfram Burgard (University of Freiburg), Probabilistic and Deep Learning Techniques for Robot Navigation and Automated Driving Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Daniele Bonacorsi (University of Bologna), [intermediate/advanced] Applied ML for High-Energy Physics Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Nadya Chernyavskaya (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics Peng Cui (Tsinghua University), [introductory/advanced] Towards Out-Of-Distribution Generalization: Causality, Stability and Invariance S?bastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Efstratios Gavves (University of Amsterdam), [advanced] Advanced Deep Learning Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning Shirley Ho (Flatiron Institute), [intermediate] Structured Machine Learning for Simulations Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [intermediate/advanced] Deep Meta-Learning Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Peter Richt?rik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization 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 October 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 October 9, 2022. EMPLOYER SESSION: Organizations 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 organization 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 October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2022au/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: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From tiako at ieee.org Sat May 28 17:27:13 2022 From: tiako at ieee.org (Pierre F. Tiako) Date: Sat, 28 May 2022 16:27:13 -0500 Subject: Connectionists: CFP: CDTE Data Technology and Engineering, Oct 3-6, OKC.USA.Online, Due July 11 Message-ID: [Apologies if you receive multiple copies] --- Call for Abstracts and Papers ------------- 2022 OkIP International Conference on Data Technology and Engineering (CDTE) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 https://eventutor.com/e/CDTE002 OkIP Published & SCOPUS/WoS Indexed Submission Deadline: July 11, 2022 Extended versions of the best papers will be considered for journal publication. >> Contribution Types (One-Column IEEE Format Style): - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) >> Areas: * Data Concepts - Data Filtering | Data Conversion - Data Structures | Data Management - Data Virtualization | Data Integrity - Data Integration | Data Retrieval - Data Representation | Data Aggregation - Data Types | Data Grids | Data Warehouse - Metadata | Data Integration | Data fusion - Data Standards | Data Workflow - Data Interoperability | Data Integrity - Data Security/Privacy/Trust | Data Control * Data Analytics and Processing - Business Intelligence | Data Governance - Descriptive analytics | Critical Device Data - Raw Data | Data Capture | Data Ingestion - Data Transformation | Data Processing - Data Visualization | Data Queries - Analytical Workloads | Prescriptive Analytics - Historical Data and Business Metrics - Transactional Workloads | Data Repositories - Batch and Streaming Data - Real-time Data | Point-of-Sale Data - Statistics Exploratory Data Analysis - Diagnostic Analytics | Cognitive Analytics - Data Warehouse Management - Predictive Analytics | Social Data Analytics - Online Analytical Processing - Semi-Structured Data | Unstructured Data * Databases - Database System Internals and Performance - XML Databases | Graph Database - Temporal Databases | Spatial Databases - Query Optimization Techniques - Multimedia Databases | Distributed Databases - Mobile Databases | WWW and Databases - NoSQL Databases | Very Large Databases - Object-Oriented Database Systems - Database Architecture and Design * AI in Data and Big Data - Data Encryption Techniques - Data Mining Theoretical Foundation - Scientific and Statistical Data Mining - Data Mining and Knowledge Discovery - Data Mining Products/Systems/Languages - Big Data Search/Mining | Web Mining - Decision Support Data Systems - Dimensional Data Modeling - Big Data Security/Privacy/Trust - Big Data Infrastructure | Web Analytics - Text Analytics | Big Data as a Service - Big Data and Information/Data Quality - Change Detection | Big Data Applications - Social Web Search and Mining - Deep Learning and Big Data - Big Data Computational Models - Smart Grid Big Data | Text Mining - Big Data Cloud Computing - Big Data Stream Computing - Intelligent Data Retrieval System * Data and Databases Applications - Database Applications and Experiences - Scientific and Biological Databases - Smart Cities and Urban Data Analytics - Sensor Network Data Management - In-Network Data Processing - In-Memory/Purpose-built Databases - Distributed/Parallel/Peer to Peer Databases - Deep/Dark/Hidden Web Data Management - Energy-Efficient Data Centers - Storage Systems Security/Reliability - Data Loss/Breach Prevention & Protection - Visual and Audio Data Mining - Information Visualization - Open Source Databases - Software Engineering Data - Virtualized Data Center Network - Medical/Biomedical Big Data - Medical Data Interoperability/Security * Data and Legal Issues - Data Privacy Issues| Sensitive Data - Data Regulation Laws | Data Protection Laws - Privacy-Preserving Techniques - Data Privacy Issues | Privacy Standards - Data Collection and Storage Issues - Intellectual Property/Copyright Laws >> Important Dates: - Submission Deadline: July 11, 2022 - Notification Due: August 01, 2022 - Camera-ready Due: August 22, 2022 >> Technical Program Committee https://eventutor.com/event/21/page/60-committee Please feel free to contact us for any inquiries at: info at okipublishing.com -------- Pierre Tiako General Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Fri May 27 15:31:05 2022 From: li.zhaoping at tuebingen.mpg.de (Li Zhaoping) Date: Fri, 27 May 2022 21:31:05 +0200 Subject: Connectionists: A YouTube playlist of 15 short videos for "A quick introduction to what is known about biological vision experimentally" In-Reply-To: References: Message-ID: <3c99d932-4681-85c0-489d-8620ace7dfd3@tuebingen.mpg.de> Dear colleagues, I have made this playlist "A quick introduction to what is known about biological vision experimentally" of 15 short video clips, each about 10 minutes long, see http://lizhaoping.org/zhaoping/QuickIntro_BiologicalVision_Playlist.html this is part of my effort for teaching materials for "Understanding vision: theory, models, and data" . Feedback most welcome, thank you! best Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Sun May 29 10:02:12 2022 From: timofte.radu at gmail.com (Radu Timofte) Date: Sun, 29 May 2022 16:02:12 +0200 Subject: Connectionists: [CFP] ECCV 2022 Advances in Image Manipulation (AIM) workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 8 CHALLENGES AIM: 4th Advances in Image Manipulation workshop and challenges on compressed/image/video super-resolution, learned ISP, reversed ISP, Instagram filter removal, Bokeh effect, depth estimation In conjunction with ECCV 2022, Tel-Aviv, Israel Website: https://data.vision.ee.ethz.ch/cvl/aim22/ Contact: radu.timofte at uni-wuerzburg.de TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Saliency and gaze estimation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in single-column, ECCV style. The paper format must follow the same guidelines as for all ECCV 2022 submissions. The review process is double blind. Dual submission is not allowed. Submission site: https://cmt3.research.microsoft.com/AIMWC2022/ WORKSHOP DATES ? Submission Deadline: July 25, 2022 ? Decisions: August 15, 2022 ? Camera Ready Deadline: August 22, 2022 AIM 2022 has the following associated challenges (ONGOING!): 1. Compressed Input Super-Resolution 2. Reversed ISP 3. Instagram Filter Removal 4. Video Super-Resolution (Evaluation platform: MediaTek Dimensity APU) - Powered by MediaTek 5. Image Super-Resolution (Eval. platform: Synaptics Dolphin NPU) - Powered by Synaptics 6. Learned Smartphone ISP (Eval. platform: Snapdragon Adreno GPU) - Powered by OPPO 7. Bokeh Effect Rendering (Eval. platform: ARM Mali GPU) - Powered by Huawei 8. Depth Estimation (Eval. platform: Raspberry Pi 4) - Powered by Raspberry Pi PARTICIPATION To learn more about the challenges and to participate: https://data.vision.ee.ethz.ch/cvl/aim22/ CHALLENGES DATES ? Release of train data: May 24, 2022 ? Validation server online: June 1, 2022 ? Competitions end: July 30, 2022 CONTACT Email: radu.timofte at uni-wuerzburg.de Website: https://data.vision.ee.ethz.ch/cvl/aim22/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.bach at uni-bonn.de Mon May 30 05:35:27 2022 From: d.bach at uni-bonn.de (Dominik Bach) Date: Mon, 30 May 2022 11:35:27 +0200 Subject: Connectionists: =?utf-8?q?Funded_PhD_in_Cognitive-Computational_N?= =?utf-8?q?euroscience_at_University_of_Bonn_=28threat_avoidance_=E2=80=93?= =?utf-8?q?_virtual_reality=29?= In-Reply-To: <39a69503-5c25-98f1-c68d-4f1423db21e0@uni-bonn.de> References: <39a69503-5c25-98f1-c68d-4f1423db21e0@uni-bonn.de> Message-ID: The Hertz Chair for Artificial Intelligence and Neuroscience at University of Bonn seeks applications for a funded 4-year PhD to be based at University of Bonn under the supervision of Prof Dominik Bach. The position is within a project funded by the European Research Council: ?Action selection under threat ? the complex control of human defense?. The purpose of the project is to understand the cognitive-computational control of human action-selection and decision-making under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid various threats. In a series of behavioural and magnetoencephalography experiments, we seek to understand the algorithms that control this behaviour, and their neural implementation. Behavioural research takes place in Bonn, and magnetoencephalography at the Wellcome Centre for Human Neuroimaging, University College London. The Hertz Chair is strongly interdisciplinary, and we invite applications from potential students with a broad range of backgrounds including, but not limited to, neuroscience, experimental psychology, statistics, machine learning, computer science, physics, or medicine. The candidate will be enrolled in an international doctoral programme at University of Bonn (bigs-neuroscience.de ). This programme offers unique training in concepts and methods across the neurosciences. Training involves seminars, methods workshops, participation in summer schools, and collaboratively supervised research. The Hertz Chair provides training in all relevant aspects of computational neuroscience, decision-making, and statistics. Project collaborators at the Institute of Computer Science, University College London, Max-Planck-Institute for Biological Cybernetics in T?bingen and University of Tubingen provide additional expertise and supervision opportunities. The Hertz Chair is part of the interdisciplinary iBehave network . We offer generous funding (usually starting with 33?000 ? p.a.) and support travel to conferences or advanced courses. Students will participate in international summer schools, seminars and workshops. *Requirements: *This is a highly competitive programme. Successful applicants should have, or expect to get, an excellent MSc degree (or equivalent), and should have an interest in computational and statistical methods as well as programming. The university is committed to employing more people with disabilities and especially encourages them to apply. The university also seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. *Deadline: **27 June 2022**. Shortlisted candidates will be interviewed online in **July 2022**. * *HOW TO APPLY. *Please send in one PDF, your CV, a statement of why you want to do this PhD (no more than 1 page), and a copy of your strongest piece of academic work (e.g., thesis, publication). Please provide the name of two referees who can send us reference letters upon request. All documents and references should be sent to a.menke at uni-bonn.de by 27 June 2022 at midnight. Enquiries about the project can be directed to d.bach at uni-bonn.de. -- ----------------------- Prof. Dominik R Bach, MBBS PhD Hertz Chair for Artificial Intelligence and Neuroscience University of Bonn Am Propsthof 49 53121 Bonn, Germany bachlab.org | @bachlab_cog -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Mon May 30 06:00:01 2022 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 30 May 2022 12:00:01 +0200 (CEST) Subject: Connectionists: Scouting for PhDs/Post-docs at Ubiquitous Internet, IIT-CNR, Pisa, Italy - DEADLINE July 31st Message-ID: <20220530100001.B8C10163008F@magneto.iit.cnr.it> The Ubiquitous Internet Research Unit of IIT-CNR (Pisa, Italy) is scouting for talented candidates for the following PhD and post-doc areas: * Human-centric explainable and efficient pervasive Artificial Intelligence [3 topics] * Architectures, Algorithms, and Protocols for the Quantum Internet [2 topics] * 6G networks and edge computing [4 topics] * Mobile health and digital phenotyping for personalized health services [1 topic] * ICT-enabled production optimization in Industry 4.0 [1 topic] Complete information about research areas, associated topics, reference contact points are provided at https://turig.iit.cnr.it/ui-positions/. Expressions of interest will be continuously considered upon reception. The very final date for sending EoIs is 31st July 2022, but topics may be closed earlier, depending on the received EoIs. Interested people are strongly encouraged to send expressions of interest as soon as possible. Details on the procedure are available here https://turig.iit.cnr.it/ui-positions/apply/. PhD and PostDocs will be carried out in the framework of one of the following European and National Projects. This will allow ample opportunities for international collaboration: * AI and BigData: H2020 HumanAI-Net, SoBigData++, CHIST-ERA SAI (Social Explainable AI) * Edge computing & decentralised AI: HE RE4DY, H2020 MARVEL, PON-MIUR OK-INSAID * Next-Generation Internet Infrastructures: ESFRI-SLICES, HE SLICES-PP, H2020 SLICES-DS, SLICES-SC * Quantum Computing & Networking: H2020 HPCQS, PON-MIUR QUANCOM Research Group: Ubiquitous Internet @ IIT-CNR http://ui.iit.cnr.it General contact: Andrea Passarella Specific contacts: see topics description at https://turig.iit.cnr.it/ui-positions/positions/ From henry.gouk at gmail.com Mon May 30 08:15:02 2022 From: henry.gouk at gmail.com (Henry Gouk) Date: Mon, 30 May 2022 13:15:02 +0100 Subject: Connectionists: CFP: Workshop on Meta-Knowledge Transfer/Communication in Different Systems @ ECML-PKDD Message-ID: Workshop Meta-Knowledge Transfer/Communication in Different Systems Friday 23rd of Sept. 2022, Grenoble, France associated with ECML/PKDD 2022 https://janvanrijn.github.io/metalearning/workshop2022 Objectives Meta-knowledge normally captures different aspects of existing (or potential) solutions, including, for instance: which preprocessing methods should be used for the given data; which machine learning algorithms are relevant; which hyperparameters should be considered and how these should be set; and how all these elements should be combined into useful pipelines or procedures. The aim of this workshop is to address the issues related to how (meta-)knowledge can be generated and transferred among different ML and AutoML systems, so that their joint capability to solve problems can be enhanced. Main research areas: - AutoML - Controlling the learning processes - Definitions of configuration spaces - Few-shot learning - Exploiting hierarchy of features in learning - Meta-learning - Conditional meta-learning - Meta-knowledge transfer - Transfer learning - Transfer of meta-knowledge between systems - Symbolic vs subsymbolic meta-knowledge - Neuro-symbolic learning and meta-learning - Explainable and interpretable meta-learning Invited speakers - Pascal Hitzler, Kansas State University Some advances regarding ontologies and neuro-symbolic artificial intelligence - Timothy Hospedales, University of Edinburgh Title to be provided Important dates - Paper submission deadline: 20 June 2022 - Paper acceptance notification: 13 July 2022 - Early registration deadline: July 22th - Program and papers will be available online by: 5 Sep 2022 Accepted formats of submissions Original paper track Authors can submit novel papers that have not been accepted elsewhere. All submissions should follow the LaTeX Lecture Notes in Computer Science format, maximal 12 pages. Poster track of already published work: Authors can apply for a poster spot for a paper that has recently (in 2021-22) been published elsewhere. During submission, please send a link to the already published version of the work, and the peer-review will determine whether it is a good match based on the topics of the workshop. See: https://janvanrijn.github.io/metalearning/workshop2022 Format of the workshop The workshop will last a half a day, as it is forms part of a combined tutorial-workshop. It will include: - Invited talks - Short oral presentations - Poster session - Panel discussions on ?Main challenges of communication of (meta)-knowledge among different systems? Proceedings The organizers are planning to prepare formal proceedings. The authors of accepted papers can decide whether they wish to have their full paper included or not. In the latter case, publication of short abstract would be possible. Organization Workshop Chairs Pavel Brazdil, Univ. of Porto, Portugal Jan N. van Rijn, Leiden University, The Netherlands Felix Mohr, Universidad de La Sabana, Colombia Henry Gouk, Postdoc. School of Informatics, Univ. of Edinburgh, Scotland Advisory Board Holger H. Hoos, University of Leiden, The Netherlands Timothy Hospedales, University of Edinburgh, UK Frank Hutter, University of Freiburg, Germany Programm Committee To be provided soon -------------- next part -------------- An HTML attachment was scrubbed... URL: From aruneshsinha at gmail.com Tue May 31 03:29:58 2022 From: aruneshsinha at gmail.com (Arunesh Sinha) Date: Tue, 31 May 2022 15:29:58 +0800 Subject: Connectionists: [CFP] Joint International Conference on Data Science & Management of Data (CODS-COMAD 2023) Message-ID: --------------------------------------------------------------------------------------------------- CODS-COMAD 2023 10th ACM IKDD CODS and 28th COMAD 6th Joint International Conference on Data Science & Management of Data January 4-7, 2023 IIT Bombay https://cods-comad.in/ ---------------------------------------------------------------------------------------------------- We are pleased to announce The 6th Joint International Conference on Data Sciences and Management of Data to be held in Mumbai, India, on January 4-7, 2023 as a hybrid event. The conference will be flexible with respect to in-person vs. online presentation of papers, though we encourage physical presence to facilitate deeper interactions. CODS-COMAD is a premier international conference focusing on scientific work in Databases, Data Sciences and their applications. Being held for the 6th time as a common conference bringing together the COMAD and the CODS communities, the conference invites researchers in the field of databases, data sciences and their applications to submit their original work. - CALL FOR PAPERS - RESEARCH TRACK The research track invites full as well as short papers describing innovative and original research contributions in the areas of data management, data science, machine learning and AI. Papers can range from theoretical contributions to systems and algorithms to experimental research and benchmarking. The goal of the short papers is to provide a venue for innovative ideas such as engineered solutions, exciting work-in-progress or even negative results that would be interesting to the broader community. Authors of accepted papers will get an opportunity to showcase their work as an oral presentation. For more details visit: https://cods-comad.in/call-for-research-track-papers.php APPLIED DATA SCIENCE TRACK The Applied Data Sciences (ADS) track invites both full as well as short papers describing the design, implementation and results of solutions and systems for application of data science techniques to real-world problems. Technical approaches can include data science, data mining, applied machine learning, testing and governance of data science models and solutions, and practical MLOps approaches. Accepted papers will be given the opportunity to present their work as an oral presentation. For more details, visit: https://cods-comad.in/call-for-applied-data-science-track-papers.php TUTORIALS Tutorials at CODS-COMAD offer a platform to showcase state-of-the-art tools and technologies to support research, development and applications of data systems, data science, data management and platforms, data-driven applications, ethics of data science etc. We solicit tutorial proposals on all topics of interest to the CODS-COMAD conference. For more details, visit: https://cods-comad.in/call-for-tutorial-proposals.php DEMO TRACK The demonstration (demo) track invites submissions from academia and industry where a live or pre-recorded demonstration of the software system, prototype, conceptual design or library adds significant value to the work. Submissions should not exceed 4 pages and (unlimited) references. Topics of interest include data systems, data science, data management and platforms, data-driven applications etc. The scope for demos is broad and includes all topics of interest to the CODS-COMAD conference. The demo should be the result of innovative work including solving novel technical or research problems and/or creating novel UI/UX. Authors of accepted demo track papers will have the option to do either a recorded demo or a live demo at the conference site. For more details, visit: https://cods-comad.in/call-for-demo-track-papers.php YOUNG RESEARCHERS' SYMPOSIUM The Young Researchers? Symposium at CODS-COMAD 2023 invites submissions from students and postdoctoral fellows. This is a unique opportunity for young researchers to have fruitful peer-to-peer discussions and to get feedback from leading senior researchers about their current research work. Submissions to the Young Researchers' Symposium (YRS) are in the form of a 2-page extended abstract, and are invited on the topics such as data systems, data science, data management and platforms, data-driven applications etc. We welcome many kinds of papers, such as, but not limited to: novel research papers, work-in-progress papers, appraisal papers of existing methods and tools (e.g., lessons learned). The first author of any submission should be an undergraduate/postgraduate/Ph.D. student or a Postdoctoral researcher affiliated with any academic institution. Authors of accepted papers will get a chance to present their work both as a poster and a quick lightning talk at the conference. For more details, visit: https://cods-comad.in/call-for-young-researchers-symposium-papers.php DIFFERENCE BETWEEN RESEARCH AND APPLIED DATA SCIENCE TRACK Check the link below to help you decide which track to submit your paper to. It is the authors? responsibility to submit their paper into the appropriate track. Papers that do not satisfy the requirements (e.g., a research track paper) might be rejected without a formal review. https://cods-comad.in/call-for-young-researchers-symposium-papers.php IMPORTANT DATES - July 3, 2022: Abstract submission deadline in Research and Applied Data Science tracks - July 10, 2022: Paper submission deadline in Research and Applied Data Science tracks - September 11, 2022: First Stage Accept/Major Revision/ Reject decisions in Research and Data Science tracks - September 15, 2022: Paper submission deadline in Demo and Young Researchers' Symposium tracks. Tutorial proposal deadline - October 9, 2022: Re-submission of revised manuscripts in Research and Applied Data Science tracks - October 30, 2022: Final Notifications of Accept / Reject decisions across all tracks - November 15, 2022: Camera ready submission deadline across all tracks PAPER SUBMISSION LINK https://easychair.org/conferences/?conf=codscomad2023 SUBMISSION INSTRUCTIONS AND POLICIES Detailed submission instructions, submission format, page limits, conflict of interest, dual submission, plagiarism and other policies are available at the link below. Do check them out before submitting your paper. https://cods-comad.in/common-instructions-policies.php AWARDS The best paper in each track will receive an award citation TRAVEL GRANTS Conference will provide travel assistance to a reasonable number of students whose papers are accepted. The travel grant includes free accommodation and monetary travel support partially covering the travel cost. Details of the grant will be made available at the conference website in due course. ORGANIZING COMMITTEE General Chairs - Pushpak Bhattacharyya (IIT Bombay) - Amr El Abbadi (University of California, Santa Barbara) PC Chairs (Research Track) - Praneeth Nethrapalli (Google Research) - Louiqa Raschid (University of Maryland) PC Chairs (Applied Data Science Track) - Tanuja Ganu (Microsoft) - Ponnurangam Kumaraguru (IIIT Hyderabad) Tutorial Chairs - Animesh Mukherjee (IIT Kharagpur) - Kalapriya Kannan (Hewlett Packard Enterprise) Demo Chairs - Mayank Vatsa (IIT Jodhpur) - Anoop Kunchukuttan (Microsoft) Young Researchers' Symposium (YRS) Chairs - Preethi Jyothi (IIT Bombay) - Bivas Mitra (IIT Kharagpur) Diversity & Inclusion Chairs - Chitra Babu (SSN Institutions) - Balaraman Ravindran (IIT Madras) Proceedings Chair - Abhinandan SP (NIE Mysore) - Charu Sharma (IIIT Hyderabad) Publicity Chairs - Rajiv Ratn Shah (IIIT Delhi) - Arunesh Sinha (Singapore Management University) Sponsorship Chairs - Shourya Roy (Flipkart) - Yogesh Simmhan (IISc Bangalore) Local Organizing Chairs - Biplab Banerjee (IIT Bombay) - Manoj Nambiar (TCS Research) Finance Chair - Chandrashekhar Sahasrabudhe (ACM India) - Raj Sharma (Goldman Sachs) Thanks, Arunesh Sinha -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue May 31 04:31:27 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 31 May 2022 10:31:27 +0200 Subject: Connectionists: Communities in Networks @NetSci 2022 July 11-12, 2022 SUBMISSION DEADLINE EXTENDED JUNE 07, 2022 (ONLINE) Message-ID: Communities in Networks July 11-12, 2022 An Online Workshop Satellite of NetSci 2022 * Invited Speakers* *Aaron Clauset* *University of Colorado, USA* *Santo Fortunato* *Indiana University, USA* *Peter Mucha* *Dartmouth College, USA* *Vincent Traag* *Leiden University, Netherlands* Submission deadline: June 07, 2022 (Extended) Acceptance notification: June 12, 2022 *CONTRIBUTION: * *Extended Abstracts* about published or unpublished research (2 to 4 pages including references). They must follow the BioMed Central article template available at: https://appliednetsci.springeropen.com/submission-guidelines/preparing-your-manuscript/research-articles *PUBLICATION: * Selected contributions will be invited to submit an extended version to be published in a book of the Studies in Computational Intelligence book series edited by Springer. *SUBMISSION WEBSITE* https://easychair.org/conferences/?conf=comnets2022 *ORGANIZERS* *Hocine Cherifi University of Burgundy, France* *Gergely Palla E?tv?s Lor?nd University, Hungary* *Boleslaw Szymanski, Rensselaer Polytechnic Institute, Troy, NY, USA* Community structure is one of the most relevant features encountered in numerous real-world applications of networked systems. Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few years to characterize, model, and analyze communities, more investigations are needed to better understand the impact of their structure and dynamics on networked systems. Therefore, the primary goal of this satellite workshop is to demonstrate the cutting-edge research advances on community structures in networks to provide a landscape of research progress and application potentials in related areas. Papers ranging from a broad nature to various aspects of community structure with substantial algorithmic innovations and application-oriented works are solicited. Topics relevant to this satellite session include, but are not limited to, the following: Models of Communities Embedding Models of Communities Evolution/Temporal Communities Dynamic and/of Communities Community Detection Communities in Uncertain Data Entropy Metrics for Communities Visual Representation of Communities Parallel Algorithms for Communities Hierarchy and Ego-Networks Communities and Sampling Communities and Controllability Communities and Synchronization Communities and Machine Learning Communities and Resilience Communities and Link Prediction Communities in Social Networks Communities in Multiplex Communities in Economics & Finance Communities in Epidemics Communities in Rumor Spreading Communities in Mobile Networks Communities in Biological Networks Communities in Brain Communities in Technological Networks Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From patrick.reisinger at stud.sbg.ac.at Tue May 31 05:41:10 2022 From: patrick.reisinger at stud.sbg.ac.at (Patrick Reisinger) Date: Tue, 31 May 2022 11:41:10 +0200 Subject: Connectionists: Salzburg Mind-Brain Annual Meeting (SAMBA), July 14-15, 2022 - Register NOW! Message-ID: <424a151a-0a5e-eef9-6035-c821c5e78640@stud.sbg.ac.at> * Dear all, We are happy to announce that the Salzburg Mind-Brain Annual Meeting (SAMBA) 2022 is taking place from 14th to 15th of July 2022 at the University of Salzburg, Austria! The mission of SAMBA is to attract the most exciting researchers in the domain of Cognitive Neuroscience and related fields. At the end of SAMBA there is a great social event with all you can eat and drink with a broad selection of beers: https://www.bierheuriger.at/trinken_englisch.html Our program includes the following great speakers: * Sarah Garfinkel (University College London) * Martin Hebart (Max Planck Institute for Human Cognitive and Brain Sciences) * Andreas Keil (University of Florida) * Leonie Koban (Paris Brain Institute) * Sonja Kotz (Maastricht University) * Jonas Obleser (University of L?beck) * Liuba Papeo (CNRS) * Chris Summerfield (University of Oxford) * Anne Urai (Leiden University) * Freek van Ede (VU Amsterdam) Abstract deadline is on the 17th of June, registration deadline is on the 30st of June. There will also be a poster prize competition. To participate, an extended abstract must be submitted by the 30th of June! Register NOW at: https://samba.ccns.sbg.ac.at Any questions? Write an email to samba at sbg.ac.at . We are looking forward to welcoming you to the city of Mozart! All the best, Your SAMBA organization team * -------------- next part -------------- An HTML attachment was scrubbed... URL: From sanjay.ankur at gmail.com Tue May 31 07:05:42 2022 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Tue, 31 May 2022 12:05:42 +0100 Subject: Connectionists: CNS*2022 satellite tutorials: free online sessions: June 27--July 1 Message-ID: <20220531110542.rtn22p5aqtnlxfgw@thor> Dear all, Apologies for the cross posts. https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-cns-2022.html The INCF/OCNS Software working group is organising 5 days of free online satellite tutorials ahead of the CNS*2022 conference. These tutorials will run from June 27--July 1 and feature sessions on: - Arbor - Brian2 - Introduction to containers - EBRAINS - GeNN - Keras/TensorFlow - LFPy - MOOSE - Neo + Elephant - NEST - NetPyNE - NeuroLib - NeuroML - NEURON - OSBv2 - RateML More information on the schedule and (free) registration will be published in the next week or so. Please do mark your calendars and spread to word to your colleagues, students, and anyone else who these may interest. For more information on the INCF/OCNS Software working group and how you can join our community, please visit our website: https://ocns.github.io/SoftwareWG/ -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London From franrruiz87 at gmail.com Tue May 31 12:21:03 2022 From: franrruiz87 at gmail.com (=?UTF-8?Q?Francisco_J=2E_Rodr=C3=ADguez_Ruiz?=) Date: Tue, 31 May 2022 17:21:03 +0100 Subject: Connectionists: ICBINB Monthly Seminar Series Talk: Finale Doshi-Velez Message-ID: Dear all, We are pleased to announce that the next speaker of the *?I Can?t Believe It?s Not Better!? (**ICBINB)* virtual seminar series will be *Finale Doshi-Velez** (**Harvard University**)*. More details about this series and the talk are below. The *"I Can't Believe It's Not Better!" (ICBINB) monthly online seminar series* seeks to shine a light on the "stuck" phase of research. Speakers will tell us about their most beautiful ideas that didn't "work", about when theory didn't match practice, or perhaps just when the going got tough. These talks will let us peek inside the file drawer of unexpected results and peer behind the curtain to see the real story of *how real researchers did real research*. *When: *June 16th, 2022 at 10am EDT / 4pm CEST (*Note*: This talk is happening on the 3rd Thursday of June.) *Where: *RSVP for the Zoom link here: https://us02web.zoom.us/meeting/register/tZAtf-morzMsGdSvoCNiIp9OECQkyVBjgygn *Title:* *Research Process for Interpretable Machine Learning* *Abstract:* *There has been much interest in interpretable machine learning (and/or explainable AI) as a way to allow domain experts to vet machine learning systems as well as a way to assist in human+AI teaming. In this "chalk" talk, I'll briefly provide a framework for thinking about the interdisciplinary ecosystem that interpretable machine learning provides and then dive into the process of doing high-quality, impactful machine learning research. Specifically, I'll talk about:- What are the kinds of interpretable machine learning questions that are computational and what are human factors?- How and when should we define abstractions between computational and human factor elements in interpretable machine learning?- When is a user study needed, and how should it be set up?In the spirit of ICBINB, I'll draw my own experience, including examples of times when I think we got things right, and when we could have done better.* *Bio:* *Finale Doshi-Velez is a Gordon McKay Professor in Computer Science at the Harvard Paulson School of Engineering and Applied Sciences. She completed her MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. Her interests lie at the intersection of machine learning, healthcare, and interpretability.* For more information and for ways to get involved, please visit us at http://icbinb.cc/, Tweet to us @ICBINBWorkhop , or email us at cant.believe.it.is.not.better at gmail.com. -- Best wishes, The ICBINB Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: