From malte.schilling at uni-muenster.de Sat Apr 1 03:00:58 2023 From: malte.schilling at uni-muenster.de (malte.schilling at uni-muenster.de) Date: Sat, 1 Apr 2023 09:00:58 +0200 Subject: Connectionists: PhD Position on DRL for robot locomotion Message-ID: <448AD571-D068-4F4A-A849-08B6AD513C19@uni-muenster.de> There is a PhD position open in the Autonomous Intelligent Systems group at the University of M?nster. The focus of the position will be on Deep Reinforcement Learning for the control of locomotion in robots. In particular, we are aiming to develop biologically-inspired principles that enable efficient learning mechanisms for adaptive behaviour. This position will focus on a model-based learning and planning architecture for the control of a robot based on principles such as decentralization and hierarchical organization. This architecture shall be applied to one of our robots, e.g., the Unitree Go1, in multiple and increasingly more difficult tasks that require the transfer of learning. One possible direction could be to extend such a DRL-based approach into a multi-agent setting which requires dealing with other agents and making the decision-making transparent in a cooperative task, e.g., through transferring methods from XAI to DRL (for more information, get in contact with us). This position is tied to working towards a doctorate and you will have the opportunity to work closely together with another position focused on learning from predictive models using graph neural networks. For more information, get in contact with us and see: https://www.uni-muenster.de/Rektorat/Stellen/ausschreibungen/st_20233103_sk5.html Applications of interested computer scientists and machine learners are welcome! Regards Malte Schilling -- Prof. Dr. Malte Schilling Autonomous Intelligent Systems Group, University of M?nster Computer Science Department, FB 10 Einsteinstr. 62, D-48149 M?nster, Germany Tel: +49-251-8333804 malte.schilling at uni-muenster.de From georgeangelos60 at gmail.com Sat Apr 1 06:17:24 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Sat, 1 Apr 2023 13:17:24 +0300 Subject: Connectionists: 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023): Fourth Call for Submissions Message-ID: <2LNODBW4-NV2D-FA6M-2FF1-AKIUHIVWCUG@gmail.com> *** Fourth Call for Submissions *** 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023) October 24-26, 2023, Golden Bay Beach Hotel, Larnaca, Cyprus https://cyprusconferences.org/esocc2023/ (Proceedings to be published in Springer LNCS; Journal Special Issue with Springer Computing) AIM AND SCOPE Nowadays, Service-Oriented and Cloud Computing are the primary approaches to build large-scale distributed systems and deliver software services to end users. Cloud-native software is pervading the delivery of enterprise applications, as they are composed of (micro)services that can be independently developed and deployed by exploiting multiple heterogeneous technologies. Resulting applications are polyglot service compositions that can then be shipped in serverful or serverless platforms (e.g., using virtualization technologies). These characteristics make Service-Oriented and Cloud Computing the natural answers for fulfilling the industry?s need for flexibly scalable and maintainable enterprise applications, to be delivered through state-of-the-art methodologies, like DevOps. To further support this, researchers and practitioners need to create methods, tools and techniques to support cost-effective and secure development as well as use of dependable devices, platforms, services and service-oriented applications in the Cloud, now also considering the Cloud-IoT computing continuum to exploit widespread adoption of smart connected things and the increasing growth of their computing capabilities. The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier conference on advances in the state-of-the-art and practice of Service-Oriented Computing and Cloud Computing in Europe. ESOCC aims to facilitate the exchange between researchers and practitioners in the areas of Service-Oriented Computing and Cloud Computing, as well as to explore the new trends in those areas and foster future collaborations in Europe and beyond. TOPICS OF INTEREST ESOCC 2023 seeks original, high-quality contributions related to all aspects of Service-Oriented and Cloud computing. Specific topics of interest include, but are not limited to: ? Applications for Service-Oriented and Cloud Computing, e.g., big data, commerce, energy, finance, health, scientific computing, smart cities ? Blockchains for Service-Oriented and Cloud Computing ? Business aspects of Service-Oriented and Cloud Computing, e.g., business models, brokerage, marketplaces, costs, pricing ? Business processes, e.g., service-based workflow deployment and management ? Cloud interoperability, service and Cloud standards, ? Cloud-IoT computing continuum, e.g., edge computing, fog computing, mobility computing, next generation services/IoT ? Cloud-native architectures and paradigms, e.g., microservices and DevOps ? Cloud service models, e.g., IaaS, PaaS, SaaS, DBaaS, FaaS, etc. ? Deployment, composition, and management of applications in Service-Oriented and Cloud Computing ? Foundations and formal methods for Service-Oriented and Cloud Computing ? Enablers for Service-Oriented and Cloud Computing, e.g., service discovery, orchestration, matchmaking, monitoring, and analytics ? Model-Driven Engineering for Service-Oriented and Cloud Computing ? Multi-Cloud, cross-Cloud, and federated Cloud solutions ? Requirements engineering, design, development, and testing of applications in Service-Oriented and Cloud Computing ? Semantic services and service mining ? Service and Cloud middlewares and platforms ? Software/service adaptation and evolution in Service-Oriented and Cloud Computing ? Storage, computation and network Clouds ? Sustainability and energy issues in Service-Oriented and Cloud Computing ? Quality aspects (e.g., governance, privacy, security, and trust) of Service-Oriented and Cloud Computing ? Quality of Service (QoS) and Service-Level Agreement (SLA) for Service-Oriented and Cloud Computing ? Social aspects of Service-Oriented and Cloud Computing, e.g., crowdsourcing services, social and crowd-based Clouds ? Virtualization for Service-Oriented and Cloud Computing, e.g., serverless, container-based virtualization, VMs IMPORTANT DATES ? Submission of abstracts: June 4th, 2023 (AoE) ? Submission of full papers: June 11th, 2023 (AoE) ? Notification to authors: July 14th, 2023 (AoE) ? Camera-ready versions due: July 31st, 2023 (AoE) TYPES OF SUBMISSIONS ESOCC 2023 invites submissions of the following kinds: ? Regular Research Papers (15 pages including references, for the technical and special tracks) ? PhD Symposium (12 pages including references) ? Projects and Industry Reports (Projects and Industry Reports (1 to 6 pages including references, describing an ongoing EU or national project, or providing industrial perspectives on innovative applications, technologies, or methods in ESOCC?s scope)? We only accept original papers, not submitted for publication elsewhere. The papers must be formatted according to the proceedings guidelines of Springer?s Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/lncs). They must be submitted to the EasyChair site at: ?https://easychair.org/conferences/?conf=esocc2023? by selecting the right track. Accepted papers from all tracks will be published in the main conference proceedings by Springer in the LNCS series. For publication to happen, at least one author of each accepted paper is expected to register and present the work at the conference. The best papers accepted will be invited to submit extended versions for a Journal Special Issue to be published by Springer Computing. ORGANISATION General Chair ? George A. Papadopoulos, University of Cyprus, CY (george at ucy.ac.cy) ? Program Chairs ? Florian Rademacher, University of Applied Sciences and Arts Dortmund, DE (florian.rademacher at fh-dortmund.de) ? Jacopo Soldani, University of Pisa, IT (jacopo.soldani at unipi.it) Steering and Program Committee https://cyprusconferences.org/esocc2023/committees/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Apr 1 09:50:42 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 1 Apr 2023 15:50:42 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Summer: early registration April 6 Message-ID: <903423308.1404559.1680357043025@webmail.strato.com> **************************************************** 10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://deeplearn.irdta.eu/2023su/ ************************************************************************ Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ************************************************************************ Early registration: April 6, 2023 ************************************************************************ FRAMEWORK: DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested. SCOPE: DeepLearn 2023 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, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth and Bari. 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, geographic information systems, signal processing, genomics, 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 19 four-hour and a half courses and 2 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 employment 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 2023 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 2023 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/ STRUCTURE: 2 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. Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids Aidong Zhang (University of Virginia), Concept-Based Explainable Deep Learning Models PROFESSORS AND COURSES: Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science Nat?lia Cordeiro (University of Porto), [introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design Daniel Cremers (Technical University of Munich), [intermediate] Deep Networks for 3D Computer Vision Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits Georgios Giannakis (University of Minnesota), [intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing Tae-Kyun Kim (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Deep 3D Pose Estimation Marcus Liwicki (Lule? University of Technology), [intermediate/advanced] Methods for Learning with Few Data Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration Ivan Oseledets (Skolkovo Institute of Science and Technology), [introductory/intermediate] Tensor Methods for Approximation of High-Dimensional Arrays and Their Applications in Machine Learning Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild Kaushik Roy (Purdue University), [introductory/advanced] Neuromorphic Computing Bj?rn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures Jiliang Tang (Michigan State University), [introductory/advanced] Deep Learning on Graphs: Methods, Advances and Applications Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems Li Xiong (Emory University), [introductory] Deep Learning and Privacy Enhancing Technology Lihi Zelnik-Manor (Technion - Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises 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 9, 2023. 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 9, 2023. 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 July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) 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://deeplearn.irdta.eu/2023su/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 as well as eventually courses in BigDat 2023 Summer. 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 are available at https://deeplearn.irdta.eu/2023su/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 - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From dao at nict.go.jp Sat Apr 1 22:33:50 2023 From: dao at nict.go.jp (dao at nict.go.jp) Date: Sun, 02 Apr 2023 11:33:50 +0900 Subject: Connectionists: CBMI 2023 - Special Session on Cross-modal multimedia analysis and retrieval for well-being insights In-Reply-To: <20230213073406.00001BDE.0344@nict.go.jp> References: <20230213073406.00001BDE.0344@nict.go.jp> Message-ID: <20230402023350.00003AC0.0569@nict.go.jp> Deadline: 12th April, 2023 Cross-modal multimedia analysis and retrieval for well-being insights URL: https://cbmi2023.org/special-sessions/ Getting insights into well-being has attracted people?s attention for decades by understanding human mental and physical health, social relations, and connections via direct and indirect perspectives. The direct perspective observes self-data from wearable sensors, medical profiles, lifelog cameras, and personal social networks that reflect people?s health, activities, and behaviors. The indirect perspective captures social data through surrounding sensors, social network interaction, and third-party data to understand how people interact with their surrounding environment and society. By utilizing these perspectives, governments, industries, and citizens can gather intelligence, plan, control, retrieve, and make decisions in wellbeing and its impact areas efficiently and effectively. Numerous studies have been done on each perspective, but few have focused on analyzing and retrieving cross-data from different perspectives for better human benefit. In this context, it is more than evident that developing cross- data multimedia analysis and retrieval is a critical issue in well-being insights. This special session aims to bring together researchers and practitioners from various research fields in social, life, and natural sciences, to discuss the latest developments and challenges in cross- data multimedia analysis and retrieval in wellbeing insights, including food computing, social activity recommendation, anti-infertility, personal training, stress reduction, mental/physical health improvement, and wellbeing research, to name a few. The topics of interest include, but are not limited to: - Interpretation of multimedia for wellbeing - Psychological Stress and Social Media Use - Health synthetic data generation - The effect of media use on wellbeing - Lifestyle Recommendations Based on Diverse Observations - Multimodal personal health lifelog data analysis - Multimodal lifelog data analysis and retrieval - Food in the Media and Health-Conscious Consumer - Training Performance Indications Based on Activity Lifelogs - The effects of air pollution on human health - Safety driving improvement using multimedia and sensory data Contacts - Minh-Son Dao, National Institute of Information and Communications Technology, Japan (dao at nict.go.jp) - Vincent Nguyen, Orl?ans University, France - Michael Alexander Riegler, Simula Metropolitan Center for Digital Engineering, Norway (michael at simula.no) - Duc-Tien Dang-Nguyen, Bergen University, Norway ( ductien.dangnguyen@ uib.edu) - Cathal Gurrin, Dublin City University, Ireland - Thanh-Binh Nguyen, Vietnam National University in HCM City, University of Science (ngtbinh at hcmus.edu.vn) Deadline: 12th April, 2023 Paper Submission: https://cbmi2023.org/paper-submission/ https://cbmi2023.org/special-sessions/ From marcin at amu.edu.pl Sun Apr 2 16:29:17 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 2 Apr 2023 22:29:17 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS=2C_Software=2C_System_a?= =?utf-8?q?nd_Service_Engineering_=28S3E=E2=80=9923=29_--_IEEE_=2357573_--?= =?utf-8?q?_Web_of_Science_--_deadline_May_23=2C_2023?= In-Reply-To: <36b90002-3fa2-98da-3e96-97f79658f4ba@ibspan.waw.pl> References: <36b90002-3fa2-98da-3e96-97f79658f4ba@ibspan.waw.pl> Message-ID: CALL FOR PAPERS Software, System and Service Engineering (S3E?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/s3e Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* The S3E track emphasizes the issues relevant to developing and maintaining software systems that behave reliably, efficiently and effectively. This track investigates both established traditional approaches and modern emerging approaches to large software production and evolution. For decades, it is still an open question in software industry, how to provide fast and effective software process and software services, and how to come to the software systems, embedded systems, autonomous systems, or cyber-physical systems that will address the open issue of supporting information management process in many, particularly complex organization systems. Even more, it is a hot issue how to provide a synergy between systems in common and software services as mandatory component of each modern organization, particularly in terms of IoT, Big Data, and Industry 4.0 paradigms. In recent years, we are the witnesses of great movements in the area of software, system and service engineering (S3E). Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods in S3E as a discipline that helps in a support of the whole information life cycle in organization systems. Despite that, one of the hot issues in practice is still how to effectively develop and maintain complex systems from various aspects, particularly when software components are crucial for addressing declared system goals, and their successful operation. It seems that nowadays we have great theoretical potentials for application of new and more effective approaches in S3E. However, it is more likely that real deployment of such approaches in industry practice is far behind their theoretical potentials. The main goal of Track 5 is to address open questions and real potentials for various applications of modern approaches and technologies in S3E so as to develop and implement effective software services in a support of information management and system engineering. We intend to address interdisciplinary character of a set of theories, methodologies, processes, architectures, and technologies in disciplines such as: Software Engineering Methods, Techniques, and Technologies, Cyber-Physical Systems, Lean and Agile Software Development, Design of Multimedia and Interaction Systems, Model Driven Approaches in System Development, Development of Effective Software Services and Intelligent Systems, as well as applications in various problem domains. We invite researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies related to modern approaches in S3E. We express an interest in gathering scientists and practitioners interested in applying these disciplines in industry sector, as well as public and government sectors, such as healthcare, education, or security services. Experts from all sectors are welcomed. Topics Submissions to S3E are expected from, but not limited to the following topics: + Advanced methodology approaches in S3E ? new research and development issues + Advanced S3E Process Models + Applications of S3E in various problem domains ? problems and lessons learned + Applications of S3E in Lean Production and Lean Software Development + Total Quality Management and Standardization for S3E + Artificial Intelligence and Machine Learning methods in advancing S3E approaches + S3E for Information and Business Intelligence Systems + S3E for Embedded, Agent, Intelligent, Autonomous, and Cyber-Physical Systems + S3E for Design of Multimedia and Interaction Systems + S3E with User Experience and Interaction Design Methods + S3E with Big Data and Data Science methods + S3E with Blockchain and IoT Systems + S3E for Cloud and Service-Oriented Systems + S3E for Smart Data, Smart Products, and Smart Services World + S3E in Digital Transformation This track includes technical sessions: * KKIO?23 ? 24th Conference on Practical Aspects of and Solutions for Software Engineering * SEW-43 & IWCPS-10 ? Joint 43rd IEEE Software Engineering Workshop and 10th International Workshop on Cyber-Physical Systems * WAPL?23 ? 8th Workshop on Advances in Programming Languages Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. There is a possibility of selecting extended versions of the best papers presented during the conference for further procedure in the journals: ComSIS, ISI IF(2021) = 1.170, and COLA, ISI IF(2021) = 1.778. Importand dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 + Conference date: September 17-20, 2023 S3E Committee: https://fedcsis.org/sessions/s3e/committee From hongzhi.kuai at gmail.com Sun Apr 2 23:43:14 2023 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Mon, 3 Apr 2023 12:43:14 +0900 Subject: Connectionists: CfP: Brain Informatics 2023 (May 1, Submission Due) Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York ? USA The key theme: Brain Science meets Artificial Intelligence A Hybrid Conference with both Online and Offline Modes History of BI: www.youtube.com/watch?v=Y2s78IIN-CQ Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 1 May 2023: Full Paper Submission Deadline - 20 May 2023: Workshop Proposal Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: ?Sketches of thought? and ?Reason and Less: Pursuing Food, Sex, and Politics? York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Professor Patrick Purdon Nathaniel M. Sims Endowed Chair in Anesthesia Innovation and Bioengineering at Massachusetts General Hospital (MGH) Fellow of American Institute for Medical and Biological Engineering (AIMBE) National Institutes of Health Director?s New Innovator Award MGH, Harvard Medical School, USA *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Real-time Journal's Impact Factor: 8.5. *** Paper Submission and Publications *** Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20publications.html 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Overlength pages will be charged for 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20publications.html Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 1 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 1 Jun 2023: Abstract presentation submission deadline * 3 Jun 2023: Final paper and abstract acceptance notification * 20 Jun 2023: Accepted paper and abstract registration deadline * 1-3 Aug 2023: The Brain Informatics Conference Organizing Committee ++++++++++++++++++++++ General Chairs * Bin He, Carnegie Mellon University, USA * Stefano Panzeri, University Medical Center Hamburg-Eppendorf, Germany Organizing Chairs * Feng Liu, Stevens Institute of Technology, USA * Hongjun Wang, Stevens Institute of Technology, USA * Sheraz Khan, MGH Harvard and MIT, USA * Emily Stephen, Boston University, USA * Yu Gan, Stevens Institute of Technology, USA Program Chairs * Yu Zhang, Lehigh University, USA * Zhe Sage Chen, New York University, USA * Jordi Sol?-Casals, University of Vic, Spain * Peipeng Liang, CNU School of Psychology, China * Islem Rekik, Istanbul Technology University, Turkey Workshop Chairs * Vicky Yamamoto, Keck School of Medicine of USC, USA * Xiang Li, MGH, Harvard Medical School, USA * Yusuf Cakmak, University of Otago, New Zealand * Shuqiang Wang, Shenzhen Institute of Advanced Technology, CAS, China * Yang Yang, BFU Department of Psychology, China * Cesar German Castellanos Dominguez, National University of Colombia, Colombia Tutorial Chairs * Guihong Wan, Harvard Medical School/Massachusetts General Hospital, USA * Shouyi Wang, University of Texas at Arlington, USA * Antonia Zaferiou, Stevens Institute of Technology, USA Publicity Chairs * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Miaolin (Melody) Fan, MGH, Harvard Medical School, USA Advisory Board Chair: Ning Zhong, Maebashi Institute of Technology, Japan * Tianzi Jiang, Institute of Automation, CAS, China * Nikola Kasabov, Auckland University of Technology, New Zealand * Hesheng Liu, MGH, Harvard Medical School, USA * Guoming Luan, Sanbo Brain Hospital, China * Mufti Mahmud, Nottingham Trent University, UK * Hanchuan Peng, SEU-Allen Institute for Brain & Intelligence, China * Shinsuke Shimojo, California Institute of Technology, USA Contact Us: http://wi-consortium.org/conferences/bi2023/contact.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Mon Apr 3 02:32:48 2023 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Mon, 3 Apr 2023 06:32:48 +0000 Subject: Connectionists: [CFP] ESANN 2023 Message-ID: ESANN 2023 - 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) and online, 4-5-6 October 2023 https://www.esann.org Call for papers The call for papers is available at https://www.esann.org. Deadline for submissions: May 2, 2023. The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 7 special sessions will be organized on the following topics: - Efficient Learning In Spiking Neural Networks - Quantum Artificial Intelligence - Green Machine Learning - Graph Representation Learning - Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness - Neuro-Symbolic AI: Techniques, Applications, and Challenges - Machine Learning Applied to Sign Language ESANN 2023 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. The conference will be organized in hybrid mode. In-person participation is preferred, however online participation is possible for those who prefer not to travel. The physical conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. We hope to receive your submission to ESANN 2023 and to see you in Bruges or online! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgeangelos60 at gmail.com Mon Apr 3 07:26:02 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Mon, 3 Apr 2023 14:26:02 +0300 Subject: Connectionists: 10th International Conference on Behavioural and Social Computing (BESC 2023): Open Invitation for Self-Nomination to the Program Committee of BESC 2023 Message-ID: <4MTXWDI5-U78X-530J-I3NN-Y6UDXQJDBQH7@gmail.com> *** Open Invitation for Self-Nomination to the Program Committee of BESC 2023 *** 10th International Conference on Behavioural and Social Computing (BESC 2023) October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus http://besc-conf.org/2023/ The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the proceedings are published by IEEE BESC 2023 is recruiting new PC members. If you are interested to join the PC and assist in the review process, please fill the form available here: https://forms.gle/X2cYY2jfmVBMHcNi9 Please note the submission deadline and bear in mind that your assistance in the review process will be required between mid-July and mid-September. IMPORTANT DATES ? Submission of all papers: 15 July 2023 ? Notification of acceptance for submitted papers: 15 September 2023 ORGANISATION Steering Committee Chair ? Guandong Xu, University of Technology Sydney, Australia General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Georgia Kapitsaki, University of Cyprus, Cyprus ? Ji Zhang, University of Southern Queensland, Australia Special Session Chairs ? Taotao Cai, University of Southern Queensland, Australia (taotao.cai AT usq.edu.au) ? Ting Yu, Zhejiang Lab, China (yuting AT zhejianglab.com) Doctoral Symposium Chair ? Barbara Caci, University of Palermo, Italy Panel and Tutorial Chair ? Philippe Fournier-Viger, Shenzhen University, China Proceedings Chair ? Md Rafiqul Islam, University of Technology Sydney, Australia Publicity Chairs ? Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore ? Thanveer Shaik, University of Southern Queensland, Australia ? Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India Webmaster ? Shiqing Wu, University of Technology Sydney, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Mon Apr 3 11:36:59 2023 From: Pavis at iit.it (Pavis) Date: Mon, 3 Apr 2023 15:36:59 +0000 Subject: Connectionists: Post Doc position on Human Motion Tracking and Behavior analysis - IIT GENOVA, ITALY [Jobs] In-Reply-To: References: Message-ID: <90bfa166f7124090b9864a96fe6df318@iit.it> Post Doc position on Human Motion Tracking and Behavior analysis PAVIS LAB - https://pavis.iit.it/ Istituto Italiano di Tecnologia Location: Genoa, Italy Commitment & contract: minimum 24 months - temporary contract ABOUT US 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 headquarters are strictly interconnected with the other 11 centers around Italy and two outstations based in the US. We promote excellence in basic and applied research such as neuroscience and cognition, humanoid technologies and robotics, nanotechnology, materials for a truly multidisciplinary scientific experience. YOUR TEAM You will be working in a multicultural and multi-disciplinary group where Computer Vision and Machine Learning researchers, Engineers, and Physicists collaborate, each with their own expertise, to carry out common research. The Pattern Analysis and Computer Vision (PAVIS) Research line is coordinated by Alessio Del Bue leading a team of more than 20 people working on advancing the state of the art in Computer Vision and Machine Learning. The research focuses on novel computational models related to Deep Learning, Geometrical Computer Vision, Scene Understanding, and Augmented Reality with the aim of solving challenging problems of relevant practical application. The research will be carried out in the framework of the project funded through the PNRR: RAISE ?Robotics and AI for Socio-economic Empowerment? Within the team, your main responsibilities will be: - Investigate new Deep Learning methods based on visual and multimodal sensors data for long-term tracking with a special focus in human behavior understanding and human-object interaction analysis - Work in collaboration with a team of research engineers to create and deploy assistive AI systems in sensorized environments with national and international stakeholders in the health sector - Supervise PhD students. ESSENTIAL REQUIREMENTS - A PhD in Computer Vision, Computer Science, Machine Learning, and similar disciplines - Documented experience on Deep Learning - Strong programming ability (Python preferred) - Experience with Deep Learning tools such as Pytorch, Tensorflow etc - A relevant publication record - Ability to work as part of a group developing ideas and collaborating - The ability to properly report, organize and publish research data - Documented experience in coaching junior scientists - Good command in spoken and written English ADDITIONAL SKILLS - Experience on either: - Video Tracking (Objects and persons) - Human behavior analysis - 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 dynamic and international environment - Ability to work both independently and collaboratively in a highly interdisciplinary environment COMPENSATION PACKAGE - 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! Please submit your application using the online form https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2300002J and including a detailed CV, university transcripts, cover letter (outlining motivation, experience and qualifications) and contact details of 2 references. Application?s deadline: 30.04.2023 The Selection processes will be managed in compliance with the provisions established in Article 7 of the Funding Decree 1053 del 23.06.2022 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 auke.ijspeert at epfl.ch Mon Apr 3 17:01:12 2023 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Mon, 3 Apr 2023 23:01:12 +0200 Subject: Connectionists: =?utf-8?q?Call_for_abstracts_=28May_1st=29=2C_Ben?= =?utf-8?q?zon_Symposium_67_=E2=80=93_Bringing_Circuit_for_Movement_Togeth?= =?utf-8?q?er=2C_Copenhagen=2C_September_4-7=2C_2023?= Message-ID: <205d9858-cd99-52c7-3b91-b87f11be3415@epfl.ch> Dear computational neuroscientists, The conference below with a wonderful list of speakers might interest researchers working on modeling motor control. Please check it out and submit abstracts if interested. The call for abstract is now open until May 1st. Best regards Auke Ijspeert Benzon Symposium 67 ? Bringing Circuit for Movement Together *Copenhagen, September 4-7, 2023* https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movement-together Organizers: Ole Kiehn, Claire Wyart, Auke Ijspeert, Hans Br?uner-Osborne, and Finn Cilius Nielsen The Benzon symposia are international conferences on front line research in medical, pharmaceutical and related sciences funded by the Alfred Benzon Foundation. The idea of the 67^th Benzon Symposium *?Bringing Circuit for Movement Together?* is to bring together the world?s leading scientist together who work in different areas of movement control and regulation. A particular aspect is that the conference will bridge the sensory, cognitive, and emotional aspects of movement control as well as new computation approaches. With its lay-out it will create an intense and interactive environment for both young and experiences scientist. The Symposium will be a four-day scientific meeting, Monday to Thursday from 09:00 to 17:30. The format will be a combination of state-of-the-art lectures by invited speakers, selected oral-poster presentations and poster sessions. *Sessions:* * Functional organization of brainstem circuits controlling breathing and orofacial expression * Functional and molecular organization of spinal circuits controlling locomotion * Brainstem circuits for control of motor behavior * Action selection and motor strategies * Beyond the connectome: neuromodulation * Planning, motor learning, and decision making * Sensory-motor integration * Integration of cognitive brain functions and movement *Confirmed invited speakers:* * Ole Kiehn (DK) * Claire Wyart (F) * Mackenzie Mathis (CH) * Karl Deisseroth (USA) * May-Britt Moser (N) * Ann Graybiel (USA) * Cornelia Bargmann (USA) * Eve Marder (USA) * Rui Costa (P) * Megan Carey (USA) * Eiman Azim (USA) * David Kleinfeld (USA) * Martin Goulding (USA) * Sten Grillner (S) * Abdel ElManira (S) * Tadashi Isa (JP) * Silvia Arber (CH) * Dora Angelaki (USA) * Auke Ijspeert (CH) * Jack Feldman (USA) * Rejean Dubuc (C) * David McLean (USA) * Kimberly Dougherty (USA) * Bence P. ?lveczky (USA) Abstracts: In order to participate in the symposium, *one MUST submit an abstract before the deadline May 1^st , 2023 *(at noon). Please prioritize early registration as registrations are on a first come, first served basis. Abstracts submitted after this deadline will not be taken into consideration. *Submission round opens: April 1, 2023* *Submission round closes: May 1, 2023* Final registration/payment: (provided acceptance of abstract): May 30, 2023 Fee: 5.000 DKK (approx 670 euros,? including scientific meeting, hotel accommodation Sunday-Thursday, official meals and social events). More info: https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movement-together -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique F?d?rale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert at epfl.ch ----------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon Apr 3 12:00:17 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 3 Apr 2023 18:00:17 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2023 French Riviera France November 28 - 30, 2023 Message-ID: 12 *th **International Conference on Complex Networks & Their Applications* French Riviera, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* ? Michael Bronstein University of Oxford UK ? Kathleen Carley Carnegie Mellon University USA ? Manlio De Domenico University of Padua Italy ? Danai Koutra University of Michigan USA ? Romualdo Pastor-Satorras Univ. Polit?cnica de Catalunya Spain ? Tao Zhou USTC China *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) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fchersi at gmail.com Mon Apr 3 07:38:14 2023 From: fchersi at gmail.com (Fabian Chersi) Date: Mon, 3 Apr 2023 13:38:14 +0200 Subject: Connectionists: [job] Embedded AI Researcher at CEA Paris Message-ID: *Senior Embedded System AI Researcher* The Embedded Artificial Intelligence Laboratory of CEA LIST (list.cea.fr) is looking for an experienced and passionate Senior AI Embedded System Engineer to join full time our team in Paris-Saclay. He/She will be working with scientists and engineers to develop innovative solutions for embedded AI, in particular in the field of intelligent imagers and embedded computing architectures for vision systems. Within our team, his/her main tasks will be: * Propose and design innovative and efficient embedded computing architectures capable of supporting state-of-the-art vision and AI algorithms; * Contribute to the roadmap of the laboratory by providing expertise on these topics and by keeping up to date with the state of the art; * Participate in the scientific dissemination of the team's research results for example by publishing in leading international conferences and journals; * Supervise doctoral and master students and/or end-of-study inters; * Contribute to the technical content for the setting up of national or European research projects as well as for the establishment of our future work with industrial partners. Moreover, he/she can participate in some of the research topics addressed in the team such as: * Design of performance and energy efficient embedded computing hardware architectures. * High-level hardware modeling and synthesis. * Architecture and algorithm optimization (Algorithm Architecture Adequacy); Candidate?s profile * A minimum of a Masters degree in Embedded Systems Engineering, Electronic Engineering. A PhD is preferred. * 5+ years of demonstrated, hands on, professional experience in the field of embedded systems for artificial intelligence. * Experience in research and/or design of hardware architecture on FPGA or ASIC, preferably in the field of computer vision. Required technical skills: * Solid knowledge of programmable digital embedded systems architecture (processors, memory hierarchy, Caches, NoCs, etc.) * Knowledge of Front End ASIC/FPGA design tools and flows (Vivado, QuestaSim, VCS, Design Compiler, etc.) * A good understanding of RTL description languages: VHDL, Verilog, SystemVerilog or UVM * The ability to conduct a research project independently, and to write and publish scientific papers in international conferences and journals * Knowledge of neural networks, for example for computer vision or time sequence processing * Ability to work and communicate in French with all levels of the organization (verbal, written, and presentations) * Desire and ability to solve complex problems and challenges, and to produce results in a fluid, dynamic, and fast-paced environment * Good knowledge of spoken and written French and English Desired experiences or skills: * Consistent experience in ASIC/FPGA hardware architecture development and validation; * Good knowledge of computer vision algorithms and/or intelligent imagers * Mastery of software development tools and approaches: version management (Git), compilation, testing strategies * Strong programming skills in C/C++ and/or Python * Notion in ASIC CMOS visible or infrared imager fabrication technology. Advantages of working at CEA * A unique research environment with exceptional experimental resources dedicated to ambitious projects to address today's major scientific challenges. * An experience at the cutting edge of innovation, with a strong potential for industrial development. * A well balanced private/professional life (more than 40 days of paid holiday per year). * Diversity and inclusion policies. * Competitive salary (between French Level E3 and E5) * Generous productivity bonuses * Additional private medical insurance * Social security / Pension program * Partial transport reimbursement * Partial smart-working options About CEA and CEA LIST The CEA (Commission for Alternative Energies and Atomic Energy, www.cea.fr ) is a French public government-funded research organization in the areas of energy, defense and security, information, communication and health technologies. The CEA maintains a cross-disciplinary culture of engineers and researchers, building on the synergies between fundamental and technological research, and has the mission of maturing and transferring technology from theoretical proof of concept to industrial demonstrator for the benefit of industry. It has about 20?500 employees and an annual budget of about 5 billion euros. CEA LIST, is a research laboratory specialized in intelligent digital systems, is one of the three institutes of CEA Tech, along with CEA LETI and CEA LITEN. CEA List is located in the heart of the Paris-Saclay science, technology and university cluster, which will soon house nearly a quarter of France's scientific research, with a first-class urban campus and infrastructure integrated into the Greater Paris area. Contact person: BICHLER Olivier olivier.bichler at cea.fr Apply on CEA?s Carrier Site: https://www.emploi.cea.fr/offre-de-emploi/emploi-chercheur-se-en-architectures-materielles-embarquees-pour-intelligence-artificielle-ia-h-f_22079.aspx -------------- next part -------------- An HTML attachment was scrubbed... URL: From rbianchi at fei.edu.br Mon Apr 3 13:05:39 2023 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Mon, 3 Apr 2023 17:05:39 +0000 Subject: Connectionists: Call For Papers - BRACIS 2023 - 12th Brazilian Conference on Intelligent Systems Message-ID: Call For Papers - BRACIS 2023 - 12th Brazilian Conference on Intelligent Systems 12th Brazilian Conference on Intelligent Systems (BRACIS) Belo Horizonte, MG, Brazil, September 25th to 29th, 2023. https://www.bracis.dcc.ufmg.br/ >>>> Deadline for paper submissions: May 5th, 2023 <<< The Program Committee of the 12th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Belo Horizonte, MG, Brazil, from September 25th to 29th, 2023, at the UFMG. BRACIS is one of the most important events in Brazil for researchers interested in publishing significant and novel results related to Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). The conference aims to promote theoretical aspects and applications of Artificial and Computational Intelligence and exchange scientific ideas among researchers, practitioners, scientists, and engineers. IMPORTANT DATES - Paper submission - May 5th, 2023. - Notification to authors - July 19th, 2023. - Camera-ready copy due - August 10th, 2023. SPECIAL ISSUES Authors of selected papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS *Please, note that BRACIS submission is double-blind* This means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Submitted papers must be written in English and not exceed 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at Conference Proceedings guidelines. Springer?s proceedings LaTeX templates are also available in Overleaf. Submissions must be made online using the JEMS system: https://jems.sbc.org.br/bracis2023 All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in Lecture Notes in Computer Science (LNCS) / Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system. TOPICS OF INTEREST Topics of interest include (but are not restricted to): - Agent-based and Multi-Agent Systems - Cognitive Modeling and Human Interaction - Constraints and Search - Foundations of AI - Distributed AI - Information Retrieval, Integration, and Extraction - Knowledge Representation and Reasoning (including Commonsense Reasoning, Model-Based Reasoning, Probabilistic Reasoning, and Approximate Reasoning) - Knowledge Representation and Reasoning in Ontologies and the Semantic Web - Logic-based Knowledge Representation and Reasoning - Natural Language Processing - Planning and Scheduling - Evolutionary Computation and Metaheuristics - Fuzzy Systems - Neural Networks - Deep Learning - Machine Learning and Data Mining - Meta-learning - Reinforcement Learning - Molecular and Quantum Computing - Pattern Recognition and Cluster Analysis - Hybrid Systems - Bioinformatics and Biomedical Engineering - Combinatorial and Numerical Optimization - Computer Vision - Education - Forecasting - Game Playing and Intelligent Interactive Entertainment - Intelligent Robotics - Multidisciplinary AI and CI - Foundation Models - Human-centric AI - Ethics GENERAL CHAIR Gisele Pappa (UFMG) Wagner Meira Jr (UFMG) PROGRAM CHAIRS Reinaldo A. C. Bianchi (Centro Universit?rio FEI) Murilo Nardi (UFSCAR) Esta mensagem, juntamente com qualquer outra informa??o anexada, ? confidencial e protegida por lei. Somente os seus destinat?rios est?o autorizados a us?-la. Se voc? n?o for o destinat?rio, por favor, informe o remetente e, em seguida, apague a mensagem, observando que n?o h? autoriza??o para usar, copiar, armazenar, encaminhar, imprimir ou tomar qualquer a??o baseada no seu conte?do. From alberto.antonietti at polimi.it Mon Apr 3 16:52:26 2023 From: alberto.antonietti at polimi.it (Alberto Antonietti) Date: Mon, 3 Apr 2023 20:52:26 +0000 Subject: Connectionists: Applications for Neuromatch Academy courses 2023 are now open! Message-ID: Dear colleagues, After teaching computational neuroscience and deep learning to thousands of students and creating a wonderful supportive community in the last three years, Neuromatch Academy is back with the usual two courses plus a brand new course from our sister organization, Climatematch Academy (CMA). All in parallel, online, July 10th - July 28th, 2023. NMA - Computational Neuroscience Flagship course covering contemporary computational neuroscience modeling and analysis techniques. Content: https://compneuro.neuromatch.io NMA - Deep Learning In-depth advanced materials, ideal for graduate students and postdocs wishing to add computational techniques to their neuroscience research, or for individuals looking to dive into the Deep Learning world. Content: https://deeplearning.neuromatch.io CMA - Computational Tools for Climate Science (17-28th July) The newest course, a wide-reaching, inclusive and approachable program aimed to introduce computational methods for climate science. Check out the CMA website: https://academy.climatematch.io Access the Application Portal and apply before the deadline (April 24th)! Apply here to become student or teaching assistant: https://academy.neuromatch.io What is Neuromatch Academy? Neuromatch Academy (NMA) teaches computational techniques crucial for success in academia and industry. It serves thousands of students each year with hundreds of teaching assistants (TA). Students learn by solving problems in small groups and by running group projects; they learn in many languages in an incredibly supportive environment. What?s in a course? Our courses are intensive 3-week programs involving hands-on tutorials developed by experts in the field. Accepted students are placed into TA-led pods (groups) using the Neuromatch algorithm, which matches students with common interests who are in the same timezone and their preferred language for instruction. Students also receive personalized support as they work through hands-on tutorials and collaborate on course projects. [Please note that course participation requires active attendance and attention of the students for 3 weeks.] Why should you apply to NMA? This program provides a dynamic learning experience that fuses neuroscience and computational techniques. Collaborate with a global community of experts and peers, hone your problem-solving skills, and build a supportive network that celebrates inclusivity and accessibility in science education. Don't miss out on this unique opportunity to advance your knowledge and skills. Apply to unlock your potential and propel your career forward! What does it cost? Neuromatch Academy?s mission is to make education affordable to everybody, no matter their financial background. We do this by pricing our courses significantly lower than other summer schools, adjusting for national economic factors, and allowing students to pay what they can when those adjustments are insufficient. Please see the website (https://academy.neuromatch.io/) for additional information and volunteer opportunities! Warm Regards, Neuromatch Academy team -- Alberto Antonietti, Ph.D. Assistant Professor Nearlab - NeuroEngineering And medical Robotics Laboratory Department of Electronics, Information and Bioengineering Politecnico di Milano http://www.nearlab.polimi.it/ From minaiaa at gmail.com Tue Apr 4 00:27:03 2023 From: minaiaa at gmail.com (Ali Minai) Date: Tue, 4 Apr 2023 00:27:03 -0400 Subject: Connectionists: LLMs and the Risks of AI Message-ID: DEar Colleagues There's a lot of discussion about whether the new LLMs indicate that we are entering a risky phase in AI. Having thought a lot about that topic for many years, I tried to summarize my thoughts in this piece - written for a more lay audience than this list. While it's unlikely that any sort of real regulation will - or should - occur in the very short term, I came to the conclusion that the risks are very real and not as broadly appreciated in the AI community as they should be. In particular, I don't think that many people in AI appreciate the inherent and irreducible hazard in systems where emergent behaviors are not undesirable things to be suppressed but the entire purpose of the system. How we connect such systems to the real world has to be thought out really, really carefully in ways that go beyond the confidence that we will be able to make such AI safe, harmless, aligned, or human compatible. Rather, I feel that we'll need to make human society and our systems anti-fragile to it, to borrow Taleb's phrase. How do we do that? I think that's a discussion worth having. https://3quarksdaily.com/3quarksdaily/2023/04/thinking-through-the-risks-of-ai.html Any comments - and especially critiques to set me straight - are most welcome. Best Ali *Ali A. Minai, Ph.D.* Professor and Graduate Program Director Complex Adaptive Systems Lab Department of Electrical & Computer Engineering 828 Rhodes Hall University of Cincinnati Cincinnati, OH 45221-0030 Phone: (513) 556-4783 Fax: (513) 556-7326 Email: Ali.Minai at uc.edu minaiaa at gmail.com WWW: https://eecs.ceas.uc.edu/~aminai/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Tue Apr 4 05:32:51 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 4 Apr 2023 11:32:51 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS=2C13th_Workshop_on_Scal?= =?utf-8?q?able_Computing_=28WSC=E2=80=9923=3B_IEEE=3A_=2357573=29_--_Web_?= =?utf-8?q?of_Science_--_deadline=3A_May_23=2C_2023?= In-Reply-To: <66fa8e65-a7d9-6699-e7e7-9478f63ee4d1@pti.org.pl> References: <66fa8e65-a7d9-6699-e7e7-9478f63ee4d1@pti.org.pl> Message-ID: CALL FOR PAPERS 13th Workshop on Scalable Computing (WSC?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/css/wsc Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* The world of large-scale computing continuously evolves. The most recent addition to the mix comes from numerous data streams that materialize from exploding number of cheap sensors installed ?everywhere?, on the one hand, and ability to capture and study events with systematically increasing granularity, on the other. To address the needs for scaling computational and storage infrastructures, concepts like: edge, fog and dew computing emerged. Novel issues in involved in ?pushing computing away from the center? did not replace open questions that existed in the context of grid and cloud computing. Rather, they added new dimensions of complexity and resulted in the need of addressing scalability across more and more complex ecosystems consisting of individual sensors and micro-computers (e.g. Raspberry PI based systems) as well as supercomputers available within the Cloud (e.g. Cray computers facilitated within the MS Azure Cloud). Addressing research questions that arise in individual ?parts? as well as across the ecosystem viewed from a holistic perspective, with scalability as the main focus is the goal of the Workshop on Scalable Computing. In this context, the following topics are of special interest (however, this list is not exhaustive). Topics Covered topics include (but are not limited to): + Algorithms, programming and data models for large-scale applications, simulations and systems + Architectures for large-scale computations (Accelerators ? GPUs, Vector, FPGAs, quantum systems, federated systems, etc.) + HPC in Cloud + Large-scale computing with serverless and microservices + Large-scale symbolic, numeric, data-intensive, graph-oriented, distributed computations + Resilient, fault-tolerant and consensus techniques for large-scale computing + Large-scale distributed databases and repositories + Load-balancing/intelligent resource management in large-scale applications, simulations and systems + Performance analysis, evaluation, and optimisation for large-scale applications and systems + Scientific workflow scheduling + Data visualisation and virtualisation supporting large-scale computations + On-demand computing + Scaling applications from small-scale to exascale (and back) in edge-cloud continuum + Big data real-time computing/analytics and Big Data cloud services + Large-scale batch processing + Economic, business, ROI models, and energy efficient computation for large-scale applications in data centers + Disruptive uses of HPC technologies in AI/ML/DL + Integration of predictive models to improve the performance of scientific applications in terms of execution time and/or simulation accuracy + Workflow of applying AI/ML/DL to scientific applications in HPC infrastructures + HPC with AI/ML/DL and AI/ML/DL for HPC + HPC tools and infrastructure to improve the usability of AI/ML/DL to scientific applications + Optimised HPC systems design and setup for efficient AI/ML/DL Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. Extended versions of selected papers presented during the conference will be published as Special Issue(s) of: -- Scalable Computing; Practice and Experience journal -- Journal of Network and Computer Applications (Elsevier, IF = 2.229) -- Other journal(s) to be announced later Importand dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 + Conference date: September 17-20, 2023 WSC Committee: https://fedcsis.org/sessions/css/wsc/committee From cgf at isep.ipp.pt Tue Apr 4 05:38:14 2023 From: cgf at isep.ipp.pt (Carlos) Date: Tue, 4 Apr 2023 10:38:14 +0100 Subject: Connectionists: Discovery Science (DS 2023) - CFP Message-ID: -------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- CALL FOR PAPERS DS 2023 Discovery Science Conference Website link: https://ds2023.inesctec.pt/ October 9-11, 2023, Porto, Portugal -------------------------------------------------------------------------------- Special Issue -------------------------------------------------------------------------------- The authors of a number of selected papers presented at DS 2023 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published. -------------------------------------------------------------------------------- Award -------------------------------------------------------------------------------- There will be a Best Student Paper Award in the value of 555 Eur sponsored by Springer. -------------------------------------------------------------------------------- Aims and Scope -------------------------------------------------------------------------------- Discovery Science 2023 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of artificial intelligence methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to: -Artificial intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science -Machine learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc. -Knowledge discovery and data mining -Causal modeling -AutoML, meta-learning, planning to learn -Machine learning and high-performance computing, grid and cloud computing -Literature-based discovery -Ontologies for science, including the representation and annotation of datasets and domain knowledge -Explainable AI, interpretability of machine learning and deep learning models -Process discovery and analysis -Computational creativity -Anomaly detection and outlier detection -Data streams, evolving data, change detection, concept drift, model maintenance -Network analysis -Time-series analysis -Learning from complex data -Graphs, networks, linked and relational data -Spatial, temporal and spatiotemporal data -Unstructured data, including textual and web data -Multimedia data -Data and knowledge visualization -Human-machine interaction for knowledge discovery and management -Evaluation of models and predictions in discovery setting -Machine learning and cybersecurity -Applications of the above techniques in scientific domains, such as -Physical sciences (e.g., materials sciences, particle physics) -Life sciences (e.g., systems biology/systems medicine) -Environmental sciences -Natural and social sciences -------------------------------------------------------------------------------- Important Dates -------------------------------------------------------------------------------- Abstract submission (deadline): May 27, 2023 Full paper submission (deadline): Jun 3, 2023 Notification of acceptance: July 21, 2023 Camera ready version, author registration: August 6, 2023 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) -------------------------------------------------------------------------------- Submission procedure -------------------------------------------------------------------------------- Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 10-12 pages in LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2023. Submission System link: https://cmt3.research.microsoft.com/DS2023 Conference Management Toolkit - Login cmt3.research.microsoft.com Microsoft's Conference Management Toolkit is a hosted academic conference management system. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT. -------------------------------------------------------------------------------- Venue -------------------------------------------------------------------------------- DS 2023 will be held in October 9-11, 2023 in Porto, Portugal. The conference will take place in Sheraton Hotel, Porto, Portugal. -------------------------------------------------------------------------------- Organizing Committee -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- General Chairs -------------------------------------------------------------------------------- Jo?o Gama - University of Porto, Portugal Pedro Henriques Abreu ? University of Coimbra, Portugal -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Program Chairs -------------------------------------------------------------------------------- Albert Bifet - University of Waikato, New Zealand Ana Carolina Lorena ? Aeronautics Institute of Technology, Brazil Rita P. Ribeiro ? University of Porto, Portugal -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Steering Committee Chair -------------------------------------------------------------------------------- Saso Dzeroski ? Jozef Stefan Institute, Slovenia -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Publicity Chair -------------------------------------------------------------------------------- Carlos Abreu Ferreira ? Polytechnic Institute of Porto, Portugal Ricardo Cerri ? Federal University of S?o Carlos, Brazil Wenbin Zhang ? University of Michigan Technological, USA -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Local Organization Committee -------------------------------------------------------------------------------- Bruno Veloso ? University Portucalense, Portugal Joana Cristo Santos ? University of Coimbra, Portugal Jos? Pereira Amorim ? University of Coimbra, Portugal Miriam Seoane Santos ? University of Coimbra, Portugal Ricardo Cardoso Pereira ? University of Coimbra, Portugal -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Contacts -------------------------------------------------------------------------------- Organizing Committee Contact Person: Pedro Henriques Abreu - University of Coimbra, Portugal ? pha at dei.uc.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 nc528 at cam.ac.uk Tue Apr 4 05:29:35 2023 From: nc528 at cam.ac.uk (Nikhil Churamani) Date: Tue, 4 Apr 2023 09:29:35 +0000 Subject: Connectionists: [CfP] Workshop on Lifelong Learning in Affective Computing at ACII 2023 Message-ID: [Intentional BCC to mailing lists to avoid Reply all] Apologies for cross-posting! Dear All, We are happy to announce the upcoming first workshop on Lifelong Learning in Affective Computing (LiLAC), to be held in September at the International Conference on Affective Computing and Intelligent Interaction (ACII) 2023 conference at MIT Media Labs. Links to the relevant resources and a call of papers (short and long, with a deadline at the end of April) are attached in this email. We are looking forward to your contributions and participation! Best, LiLAC organizers Nikhil Churamani, Martin Mundt, Bj?rn Schuller and Hatice Gunes LiLAC 2023: The first Workshop on Lifelong Learning in Affective Computing https://lifelong-affective-computing.github.io OVERVIEW Despite state-of-the-art performance on affect recognition benchmarks, deep learning solutions struggle in real-world applications where systems dynamically interact with different users. Assuming a clear separation of training and test settings requires models to have all the data available apriori, making such methods unsuitable or, at the least, inefficient when data distributions shift with each user or task. Lifelong or Continual Learning (CL) aims to address this challenge, enabling systems to adapt with a continuous and sequential stream of data, acquired from non-stationary or changing environments. This makes CL a ?natural fit? for real-world affective computing. To this end, we are organising LiLAC 2023: The first Workshop on Lifelong Learning in Affective Computing to be held in conjunction with the International Conference on Affective Computing and Intelligent Interaction (ACII) 2023 (https://acii-conf.net/2023/), In-person from September 10?13, 2023 at the MIT Media Lab, Cambridge, MA, USA. This workshop aims to initiate a systematic and structured discussion towards the successful adoption of the CL paradigm for affective computing, bringing together a multidisciplinary group of researchers to: 1. start formalising key challenges towards dynamic adaptation in affect perception models; 2. bring forth the merits and demerits of existing CL-based works in the context of affective computing; 3. investigate novel methodologies adopting the CL paradigm for affective computing; 4. formalise the benchmarks and evaluative metrics for CL-based affective computing. TOPICS OF INTEREST (include but are not limited to): * Multi-modal, few-shot, transfer, federated, continual, lifelong learning methods in and for affective computing; * Affective and lifelong learning benchmarks, metrics, evaluation considerations, fairness and ethics; * Applications for affective lifelong computing: sentiment analysis, face/body gesture analyses, affective speech analysis, digital health; * Research datasets, software, open-source tools, hardware analysis, system benchmarks in/for affective lifelong computing SUBMISSION GUIDELINES: We invite authors to submit their contributions either as regular (6-8 pages) or short papers (2-4 pages), following the ACII 2023 submission guidelines. All papers will be peer-reviewed in a **double-blind** fashion. The accepted workshop papers will appear in the ACII Demo and Workshop Proceedings. Authors will be invited to present their accepted papers in an oral presentation during the workshop. We will also invite researchers to submit their preliminary or work-in-progress contributions as a 1-page extended abstract for poster presentation. The authors will receive a notification of acceptance after a light review that only examines fit and factual correctness, but they will receive feedback from the audience during the workshop. These 1-page extended abstracts will not appear in the workshop proceedings. * Submission Guidelines: https://acii-conf.net/2023/wp-content/uploads/2023/03/2023-ACII-Submission-Guidelines.pdf * EasyChair Submission System: https://easychair.org/conferences/submissions?a=30547390 IMPORTANT DATES: * Submission deadline: 28 April 2023, Anywhere On Earth (AoE) * Notification of acceptance: 09 June 2023 * Camera-ready deadline: 1 August 2023 (same as ACII main conference) * Workshop Day: 10 September 2023 INVITED SPEAKERS: * Prof Bing Liu, University of Illinois at Chicago (UIC). * Dr Ognjen (Oggi) Rudovic, MIT Media Lab & Apple. * Prof Gemma Roig, Goethe University Frankfurt. * Dr Pablo Barros, Sony R&D Brussels. * Dr Jing Han, University of Cambridge. ORGANIZERS: * Nikhil Churamani, University of Cambridge. * Martin Mundt, TU-Darmstadt, Hessian AI, ContinualAI. * Bj?rn Schuller, Imperial College London, University of Augsburg. * Hatice Gunes, University of Cambridge. We look forward to your contributions and seeing you at ACII 2023. --------------------------- Thanks and Regards Nikhil Churamani Research Assistant University of Cambridge Department of Computer Science and Technology William Gates Building 15 JJ Thomson Avenue Cambridge CB3 0FD Phone:+44 1223 767024 Email: Nikhil[dot]Churamani[AT]cl.cam.ac.uk Web:https://www.cl.cam.ac.uk/~nc528 -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgeangelos60 at gmail.com Tue Apr 4 04:04:45 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Tue, 4 Apr 2023 11:04:45 +0300 Subject: Connectionists: 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023): Final Call for Special Track Proposals Message-ID: *** Final Call for Special Track Proposals *** 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023) October 24-26, 2023, Golden Bay Beach Hotel, Larnaca, Cyprus https://cyprusconferences.org/esocc2023/ AIM AND SCOPE The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier conference on advances in the state of the art and practice of Service-Oriented Computing and Cloud Computing in Europe. The main objectives of this conference are to facilitate the exchange between researchers and practitioners in the areas of Service-oriented Computing and Cloud Computing and to foster future collaborations in Europe and beyond. ESOCC 2023 will host Special Tracks as part of its program. Special Tracks provide a space where ESOCC participants can discuss, e.g., topics relevant to Service-Oriented and Cloud Computing even if not explicitly mentioned in ESOCC?s topics of interest (cf. https://cyprusconferences.org/esocc2023/call-for-papers/), early-stage research ideas and/or results, or demonstrate industry-ready tools and research prototypes. Special Tracks may be driven by research interests, needs from specific application domains, or aim at bringing together practitioners and researchers from the area of Service-Oriented and Cloud Computing. Proposals for special tracks should indicate the title of the Special Track, its aims and scope (150-300 words), the Special Track chair(s), and the tentative members of the track?s? PC. Please email your proposals as a PDF file to the PC chairs of ESOCC 2023, Florian Rademacher (florian.rademacher at fh-dortmund.de) and Jacopo Soldani (jacopo.soldani at unipi.it). Special Tracks will be selected for ESOCC 2023 using a lightweight review process. IMPORTANT DATES ? Special Track Proposal Submission: April 18th, 2023 (AoE) ? Notification of Acceptance: April 24th, 2023 (AoE) ORGANISATIONAL INFORMATION Chairs of accepted Special Tracks can devise a Call for Papers for their track, which will be published on ESOCC 2023 website, together with the provided information on the track (title, aims and scope, PC). The Call for Papers for their track will then be disseminated alongside that of ESOCC, and submissions will be handled through the EasyChair of ESOCC, which will include a special track link.? Papers accepted for Special Tracks will be included in the main conference proceedings of ESOCC 2023, published by Springer in the LNCS series. The best papers accepted in the Special Tracks will be eligible for consideration to be invited to submit extended versions for a Journal Special Issue to be published by Springer Computing. Special Track chairs, presenters, and participants will be required to register through the ESOCC 2023 registration page. In case of any questions related to the Special Tracks, please do not hesitate to contact the Program Chairs. ORGANISATION General Chair ? George A. Papadopoulos, University of Cyprus, CY (george at ucy.ac.cy) ? Program Chairs ? Florian Rademacher, University of Applied Sciences and Arts Dortmund, DE (florian.rademacher at fh-dortmund.de) ? Jacopo Soldani, University of Pisa, IT (jacopo.soldani at unipi.it) Steering and Program Committee https://cyprusconferences.org/esocc2023/committees/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From RoigNoguera at em.uni-frankfurt.de Tue Apr 4 07:53:51 2023 From: RoigNoguera at em.uni-frankfurt.de (Gemma Roig) Date: Tue, 4 Apr 2023 13:53:51 +0200 Subject: Connectionists: Associate Researcher on Computational Vision and Artificial Intelligence (11 months, starting as soon as possible, pay-scale TV-GU E13 50%) Message-ID: Hello community! We are happy to announce that we have a job opening as associate researcher at the department of Computer Science at Goethe University and the Hessian Center for AI (hessian.ai). The PI of the project is Prof. Gemma Roig in collaboration with Prof. Radoslaw Cichy from Freie-Universit?t Berlin. The duration of the position is for 11 months. It is also possible to negotiate a E13 75% for 6 months. The position will involve: ? Developing cutting-edge research work on computational models of human visual cognition and artificial intelligence. ? Developing and enhancing a toolbox for linking AI models to brain data, including functional MRI, MEG and EEG ? Building a demonstrator for the Algonauts Project (http://algonauts.csail.mit.edu/) ? Outreach and organizing a demo workshop Key requirements for the position: ? Master or PhD in Computational Neuroscience, Computer Science, applied mathematics, electrical engineering or related fields. ? Strong knowledge in machine learning (deep learning, RNN, LSTMs, Transformers, ?) ? Excellent programming skills in python, and extensive experience in Tensorflow, pyTorch or related libraries. ? Basic knowledge and high motivation to learn about computational neuroscience and cognitive science. ? Previous experience on building a demonstrator is desirable. ? Fluent in English (writing, speaking, oral) Self-motivated candidates with a hands-on, proactive approach and problem-solving skills are strongly encouraged to apply. Goethe University Frankfurt offers a collaborative, diverse, multidisciplinary environment in a scientifically vibrant and international city. Goethe University Frankfurt is strongly committed to Equal opportunities and women candidates as well as candidates with diverse backgrounds are encourage to apply. Application Instructions: Applicants are asked to send their documents (motivational letter, CV, 1 publication, diploma and certificates) in electronic form to Gemma Roig at roig at cs.uni-frankfurt.de until the 30th of April 2023. Please include in the subject [hessian.ai Algonauts]. Interviews will be held in Frankfurt or conducted electronically. -------------- next part -------------- An HTML attachment was scrubbed... URL: From yaser.amd at gmail.com Tue Apr 4 08:57:03 2023 From: yaser.amd at gmail.com (Yaser Jararweh) Date: Tue, 4 Apr 2023 15:57:03 +0300 Subject: Connectionists: FMEC 2023 CFP: The Eighth International Conference on Fog and Mobile Edge Computing, Tartu, Estonia. September 18-20, 2023 Message-ID: [Apologies if you got multiple copies of this invitation] The Eighth International Conference on Fog and Mobile Edge Computing (FMEC 2023) emergingtechnet.org/FMEC2022/index.php Tartu, Estonia. September 18-20, 2023 Technically Co-Sponsored by IEEE Estonia Section *FMEC 2023 CFP:* Cloud computing provides a large range of services and virtually unlimited available resources for users. New applications, such as virtual reality and smart building control, have emerged due to the large number of resources and services brought by cloud computing. However, the delay-sensitive applications face the problem of large latency, especially when several smart devices and objects are getting involved in human?s life such as the case of smart cities or Internet of Things. Therefore, cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. To solve this problem, researchers have introduced a trusted and dependable solution through the Fog and the Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitates the leveraging of available services and resources in the edge networks. By this, we are moving from the core (cloud data centers) to the edge of the network closer to the users. FMEC dependability is based on providing user centric service. The purpose of Fog and the Mobile Edge Computing is to run the heavy real-time applications at the network edge directly using the billions of connected mobile devices. Several features enable the Fog and the Mobile Edge Computing to be a perfect paradigm to the aforementioned purpose, which are the dense geographical deployment of servers, supporting mobility and the closeness to users. As in every new technology, some challenges face the vision of the Fog and the Mobile Edge Computing, which are the administrative policies and security concerns (i.e. secure data storage, secure computation, network security, data privacy, usage privacy, location privacy, etc). FMEC 2023 conference aims to investigate the opportunities and requirements for Mobile Edge Computing dominance. In addition, it seeks for novel contributions that help mitigate Mobile Edge Computing challenges. That is, the objective of FMEC 2023 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Fog and Mobile Edge Computing (FMEC). FMEC 2023 is Technically Co-Sponsored by IEEE France Section. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to the following tracks: Track 1: Fog and Mobile Edge Computing fuels Smart Mobility Track 2: Edge-Cloud Continuum and Networking Track 3: Industrial Fog and Mobile Edge Computing Applications Track 4: Trustworthy AI for Edge and Fog Computing Track 5: Security and privacy in Fog and Mobile Edge Computing Track 6: Decentralized Data Management and Streaming Systems in FMEC Track 7: FMEC General Track *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FMEC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Workshops and Symposium:* The 1st International Symposium on Federated Learning Technologies and Applications (FLTA 2023) https://emergingtechnet.org/FLTA2023/ The International Workshop on Engineering Intelligent, Trustworthy, and Secure Internet of Things (IoT) Systems (SYNERGY 2023) https://emergingtechnet.org/FMEC2023/Workshops/SYNERGY2023/index.html The International Workshop on Cellular and Industrial Edge AI (CIEAI 2023) https://emergingtechnet.org/FMEC2023/Workshops/CIEAI2023/index.html The 9th International Workshop on Internet of Things: Networking Applications and Technologies (IoTNAT 2023) . http://emergingtechnet.org/FMEC2023/Workshops/IOTNAT2023/index.php The 7th International Workshop on Smart Cities Systems Engineering (SCE 2023) http://emergingtechnet.org/FMEC2023/Workshops/SCE2023/index.php *Important Dates* Submission Date: 15 May 2023 Notification to Authors: 30 July 2023 Camera Ready Submission: 15 August 2023 *Contact:* Please send any inquiry on FMEC to Emerging Tech. 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URL: From georgeangelos60 at gmail.com Wed Apr 5 03:06:13 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Wed, 5 Apr 2023 10:06:13 +0300 Subject: Connectionists: 10th International Conference on Behavioural and Social Computing (BESC 2023): Last Call for Special Session Proposals Message-ID: *** Last Call for Special Session Proposals *** 10th International Conference on Behavioural and Social Computing (BESC 2023) October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus http://besc-conf.org/2023/ The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the proceedings are published by IEEE The Organizing Committee invites proposals for Special Sessions that cover any topic related to BESC. Special Sessions can also cover any other area focusing on challenging open problems of relevance in applications on Behavioural, Economic, and Socio-Cultural Computing. Papers accepted in the Special Sessions will be included in the same conference volume with those accepted in the main track and will be candidates for being invited to the journal special issues that will be organised for BESC 2023. The proposals for organising Special Sessions should be submitted to the Special Sessions Chairs by the indicated deadline. A proposal should be submitted in PDF, be no longer than 2 pages in length, and contain the following: (i) Title of the proposed Special Session. (ii) Names, affiliations and contact information of the proposers. (iii) Names and affiliations of the Program Committee of the proposed Special Session. (iv) Description of the proposed Special Session, including the covered topics and the rationale as to why it fits into the themes of BESC. (v) A dissemination plan of the CFP for the proposed Special Session that the proposers will undertake, if their proposal is accepted. E-mails for submission of Special Session Proposals: taotao.cai AT usq.edu.au / yuting AT zhejianglab.com IMPORTANT DATES ? Submission of Special Session proposals: ?10 April 2023 ? Acceptance notification for Special Session proposals: 15 April 2023 ORGANISATION Steering Committee Chair ? Guandong Xu, University of Technology Sydney, Australia General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Georgia Kapitsaki, University of Cyprus, Cyprus ? Ji Zhang, University of Southern Queensland, Australia Special Session Chairs ? Taotao Cai, University of Southern Queensland, Australia (taotao.cai AT usq.edu.au) ? Ting Yu, Zhejiang Lab, China (yuting AT zhejianglab.com) Doctoral Symposium Chair ? Barbara Caci, University of Palermo, Italy Panel and Tutorial Chair ? Philippe Fournier-Viger, Shenzhen University, China Proceedings Chair ? Md Rafiqul Islam, University of Technology Sydney, Australia Publicity Chairs ? Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore ? Thanveer Shaik, University of Southern Queensland, Australia ? Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India Webmaster ? Shiqing Wu, University of Technology Sydney, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From sylvie.treuillet at univ-orleans.fr Wed Apr 5 03:51:01 2023 From: sylvie.treuillet at univ-orleans.fr (Sylvie Treuillet) Date: Wed, 5 Apr 2023 09:51:01 +0200 Subject: Connectionists: Call for Papers for Special Session "Cultural Heritage" @CBMI 2023 In-Reply-To: <46779FD7-F344-4239-97B9-5C6C637AD88E@univ-orleans.fr> References: <46779FD7-F344-4239-97B9-5C6C637AD88E@univ-orleans.fr> Message-ID: [Apologies if you receive multiple copies of this CfP] *** Last week to submit Papers for Special Session "Cultural Heritage" @CBMI 2023 *** 20th International Conference on Content-based Multimedia Indexing https://cbmi2023.org/ September 20 - 22, 2023 Orleans, France *** Important dates - Paper submission: April 12, 2023 (AoE) - Author acceptance notification: June 1, 2023 - Conference date: September 20 - 22, 2023 *** Aims and scope This special session addresses the processing of all types of data related to cultural heritage. As stated by UNESCO, cultural heritage provides societies with a wealth of resources inherited from the past, created in the present for the benefit of future generations. It includes tangible (built and natural environments, artifacts) and intangible (such as traditions, language, knowledge) heritage. The objective of this session is to bring together the various communities and latest researches dedicated to cultural heritage data on different aspects, from their acquisition up to their restitution, including retrieval, structuring, interactions, interfaces, analysis, etc. For various applications, we will address the presentation of generic methods and their application to cultural heritage, as well as dedicated approaches designed to deal with such contents. Non exhaustively, we will consider: - Content-based multimedia indexing and retrieval - Deep representations in adverse conditions - Generative models for cultural heritage - Ontology and semantic web for cultural heritage - Knowledge-driven machine learning - Multi-source and multimodal visualization - Spatio-temporal analysis - Large-scale multimedia database management - Bench-marking, Open Data Movement The panel of applications targeted is large, including: - Analysis, archeometry of artifacts - Diagnosis and monitoring for restoration and preventive conservation - Geosciences / Geomatics for cultural heritage - Analysis of the evolution of the territory - Education - Smart and sustainable tourism - Digital Twins *** Submission guidelines The submission guidelines are the same as for regular papers (full and short papers): https://cbmi2023.org/paper-submission/ Looking forward to your submission! The SS organizers Val?rie Gouet-Brunet, LASTIG, IGN, Universit? Gustave Eiffel Sylvie Treuillet, PRISME, Universit? d?Orl?ans -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Tue Apr 4 12:48:27 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Tue, 4 Apr 2023 18:48:27 +0200 Subject: Connectionists: LOD 2023 1st CfP: The 9th Int. Conf. on Machine Learning, Optimization & Data Science, September 22-26, Lake District England - Paper Submission Deadline: April 10 Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks. -- The 9th International Conference on Machine Learning, Optimization, and Data Science ? LOD 2023 - September 22-26, Lake District, UK LOD 2023, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders Satellite Events: International Meeting on Foundation Models Workshop AI for Medicine 25 Tracks https://lod2023.icas.cc lod at icas.cc PAPERS SUBMISSION: All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2023 Paper Submission deadline: April 10 (Anywhere on Earth) CALL FOR PAPERS: https://lod2023.icas.cc/call-for-papers/ Please prepare your paper using the Springer Nature ? Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2023, authors are required to select one of the following three types of papers: * long paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); * short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference; LOD 2023 KEYNOTE SPEAKERS: Anthony G. Cohn, University of Leeds, UK & The Alan Turing Institute, UK "Evaluating the Commonsense Reasoning abilities of Foundation Models" Sven Giesselbach, Fraunhofer Institute - IAIS, Germany "Foundation Models" "GPT" "OpenGPT-X and Application and Practical Training of Large Scale Language Models" LOD / ACAIN 2023 KEYNOTE SPEAKERS: https://acain2023.icas.cc/course-lecturers/ Aldo Faisal, Imperial College London Karl Friston, University College London Kenneth Harris, University College London Rosalyn Moran, King's College London Edmund Rolls, University of Oxford Michael Wooldridge, University of Oxford More Keynote Speakers TBA PAST LOD & ACAIN KEYNOTE SPEAKERS: https://lod2023.icas.cc/past-keynote-speakers/ https://acain2023.icas.cc/past-lecturers/ 23 TRACKS: https://lod2023.icas.cc/tracks/ BEST PAPER AWARD: Springer sponsors the LOD 2023 Best Paper Award with a cash prize of 1,000 Euro. https://lod2023.icas.cc/best-paper-award/ PROGRAM COMMITTEE: 150+ confirmed PC members! https://lod2023.icas.cc/program-committee/ VENUE: https://lod2023.icas.cc/venue/ ?ESCAPE THE HURRYING WORLD ? The loveliest spot that man hath ever found?? Escape to the Lake District, England ? a UNESCO World Heritage site ? and you?ll find it?s easy to share William Wordsworth?s delight in the area. The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK Phone: +44-1539-435592 Email: enquiry at thewordsworthhotel.co.uk Web: www.thewordsworthhotel.co.uk ACCOMMODATION: https://lod2023.icas.cc/accommodation/ ACTIVITIES: https://lod2023.icas.cc/activities/ WALKS in the Lake District National Park: https://lod2023.icas.cc/walks/ Submit your research work today! https://easychair.org/conferences/?conf=lod2023 See you in the beautiful Lake District - England in September! Best regards, LOD 2023 Organizing Committee. Past Editions https://lod2023.icas.cc/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ * Apologies for multiple copies. Please forward to anybody who might be interested * lod at icas.cc https://lod2023.icas.cc LOD2023 Poster: https://lod2023.icas.cc/wp-content/uploads/sites/23/2023/01/LOD-2023-poster.png -- *6th Advanced Course on Data Science & Machine Learning - ACDL2023* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by March 23 (AoE)* W: https://acdl2023.icas.cc/ E: acdl at icas.cc FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *9th International Conference on machine Learning, Optimization & Data science ? LOD 2023 *September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission Deadline: April 10* lod at icas.cc https://lod2023.icas.cc/ *ACAIN 2023, the* *3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience*, September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission (Symposium): by Friday March 31 (AoE)* *Early Registration (Symposium & Course): by May 31* W: https://acain2023.icas.cc/ E: acain at icas.cc FB: https://www.facebook.com/ACAIN-Int-Advanced-Course-Symposium-on-AI-Neuroscience-100503321621692/ The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Tue Apr 4 14:45:53 2023 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Tue, 4 Apr 2023 18:45:53 +0000 Subject: Connectionists: NEURAL NETWORKS, April 2023 Message-ID: Neural Networks - Volume 161, April 2023 https://www.journals.elsevier.com/neural-networks Partial label learning: Taxonomy, analysis and outlook Yingjie Tian, Xiaotong Yu, Saiji Fu Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields Adedapo Alabi, Dieter Vanderelst, Ali A. Minai The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data Christian Tsvetkov, Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers Hierarchical neural network with efficient selection inference Jian-Xun Mi, Nuo Li, Ke-Yang Huang, Weisheng Li, Lifang Zhou SPIDE: A purely spike-based method for training feedback spiking neural networks Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin Interpretable local flow attention for multi-step traffic flow prediction Xu Huang, Bowen Zhang, Shanshan Feng, Yunming Ye, Xutao Li Enhanced robust spatial feature selection and correlation filter learning for UAV tracking Jiajun Wen, Honglin Chu, Zhihui Lai, Tianyang Xu, Linlin Shen Cross-modal guiding and reweighting network for multi-modal RSVP-based target detection Jiayu Mao, Shuang Qiu, Wei Wei, Huiguang He Enhanced tensor low-rank representation learning for multi-view clustering Deyan Xie, Quanxue Gao, Ming Yang Fractional derivative based weighted skip connections for satellite image road segmentation Sugandha Arora, Harsh Kumar Suman, Trilok Mathur, Hari Mohan Pandey, Kamlesh Tiwari A feedforward unitary equivariant neural network Pui-Wai Ma, T.-H. Hubert Chan An effective low-rank compression with a joint rank selection followed by a compression-friendly training Moonjung Eo, Suhyun Kang, Wonjong Rhee Leveraging joint incremental learning objective with data ensemble for class incremental learning Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh Domain adaptive object detection with model-agnostic knowledge transferring Kun Tian, Chenghao Zhang, Ying Wang, Shiming Xiang Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar Cooperative modular reinforcement learning for large discrete action space problem Fangzhu Ming, Feng Gao, Kun Liu, Chengmei Zhao Feature relocation network for fine-grained image classification Peng Zhao, Yi Li, Baowei Tang, Huiting Liu, Sheng Yao Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning Zikai Feng, Mengxing Huang, Yuanyuan Wu, Di Wu, ... Nadezhda Gorbacheva Video summarization for event-centric videos Qingwen Li, Jianni Chen, Qiqin Xie, Xiao Han U-SPDNet: An SPD manifold learning-based neural network for visual classification Rui Wang, Xiao-Jun Wu, Tianyang Xu, Cong Hu, Josef Kittler MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults Pengyu Song, Chunhui Zhao, Biao Huang SuperFormer: Continual learning superposition method for text classification Marko Zeman, Jana Faganeli Pucer, Igor Kononenko, Zoran Bosni? Improving transparency and representational generalizability through parallel continual learning Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, ... Hwee Kuan Lee Continual Object Detection: A review of definitions, strategies, and challenges Angelo G. Menezes, Gustavo de Moura, C?zanne Alves, Andr? C.P.L.F. de Carvalho Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition Leyuan Qu, Cornelius Weber, Stefan Wermter SP-GNN: Learning structure and position information from graphs Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, ... Yibo Zhu Regularizing transformers with deep probabilistic layers Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Art?s-Rodr?guez, Fernando P?rez-Cruz Memory-efficient Transformer-based network model for Traveling Salesman Problem Hua Yang, Minghao Zhao, Lei Yuan, Yang Yu, ... Ming Gu Feature flow regularization: Improving structured sparsity in deep neural networks Yue Wu, Yuan Lan, Luchan Zhang, Yang Xiang Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation Qian Wang, Fanlin Meng, Toby P. Breckon Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning Baicheng Pan, Chuandong Li, Hangjun Che CLAD: A realistic Continual Learning benchmark for Autonomous Driving Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, ... Tinne Tuytelaars TL-ADA: Transferable Loss-based Active Domain Adaptation Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, Sungeun Hong Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation JoonHo Lee, Gyemin Lee MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification Diponkor Bala, Md. Shamim Hossain, Mohammad Alamgir Hossain, Md. Ibrahim Abdullah, ... Zhangjin Huang Quasi-synchronization of drive-response systems with parameter mismatch via event-triggered impulsive control Huannan Zheng, Nanxiang Yu, Wei Zhu Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates Weipeng Tai, Xinling Li, Jianping Zhou, Sabri Arik Approximation bounds for convolutional neural networks in operator learning Nicola Rares Franco, Stefania Fresca, Andrea Manzoni, Paolo Zunino Accelerating gradient descent and Adam via fractional gradients Yeonjong Shin, J?r?me Darbon, George Em Karniadakis Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations Denis Belomestny, Alexey Naumov, Nikita Puchkin, Sergey Samsonov IASA: An IoU-aware tracker with adaptive sample assignment Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong, Jianghong Ma Multi-relational graph convolutional networks: Generalization guarantees and experiments Xutao Li, Michael K. Ng, Guangning Xu, Andy Yip UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, ... Stan Z. Li A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing Jiun-Da Lin, Yue-Hua Han, Po-Han Huang, Julianne Tan, ... Kai-Lung Hua CrimeNet: Neural Structured Learning using Vision Transformer for violence detection Fernando J. Rend?n-Segador, Juan A. ?lvarez-Garc?a, Jose L. Salazar-Gonz?lez, Tatiana Tommasi Few-shot link prediction for temporal knowledge graphs based on time-aware translation and attention mechanism Han Zhang, Luyi Bai Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots Jos? de Jes?s Rubio Hybrid distributed finite-time neurodynamic optimization of electric vehicle charging schemes management in microgrid considering time-varying factors Haohao Qin, Gui Zhao, Yue Li, Hui Wang Neural network model for imprecise regression with interval dependent variables Krasymyr Tretiak, Georg Schollmeyer, Scott Ferson Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach Lixin Yang, Jie Tao, Yong-Hua Liu, Yong Xu, Chun-Yi Su Learning to Generate Tips from Song Reviews Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, ... Xuan Wang Knowledge-Preserving continual person re-identification using Graph Attention Network Zhaoshuo Liu, Chaolu Feng, Shuaizheng Chen, Jun Hu VISAL-A novel learning strategy to address class imbalance Sree Rama Vamsidhar S., Arun Kumar Sivapuram, Vaishnavi Ravi, Gowtham Senthil, Rama Krishna Gorthi Learning matrix factorization with scalable distance metric and regularizer Shiping Wang, Yunhe Zhang, Xincan Lin, Lichao Su, ... Yiqing Shi BalanceHRNet: An effective network for bottom-up human pose estimation Yaoping Li, Shuangcheng Jia, Qian Li MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams Xinyu Peng, Fei-Yue Wang, Li Li Eigen value based loss function for training attractors in iterated autoencoders Ali Nouri, Seyyed Ali Seyyedsalehi -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.lin at ucl.ac.uk Wed Apr 5 07:38:48 2023 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Wed, 5 Apr 2023 11:38:48 +0000 Subject: Connectionists: Call for Applications - Analytical Connectionism Summer Course Message-ID: <0FDF3CFC-7287-4AF6-84F5-009DE9A58AFA@ucl.ac.uk> Analytical Connectionism 2023 28 August - 8 September 2023, London Applications now open! Deadline: 15 May 2023 We are pleased to announce the launch of Analytical Connectionism 2023. This 2-week course will bring together the neuroscience, psychology, and machine-learning communities, introducing attendees to mathematical methods for neural-network analysis and connectionist theories of higher-level cognition and psychology. The course will end with a 1.5-day workshop*, during which you will hear from experts about current state-of-the-art and the limits of our current understanding. This course is appropriate for graduate students, postdoctoral fellows and faculty in a variety of fields, from psychology and neuroscience, to physics, computer science, and mathematics. For more details and how to apply, please see https://www.ucl.ac.uk/gatsby/analytical-connectionism-2023. * Limited spaces available for researchers who are not taking the course to attend the workshop. Please visit the webpage for more information. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL From Chuck.Anderson at colostate.edu Wed Apr 5 17:29:13 2023 From: Chuck.Anderson at colostate.edu (Anderson,Chuck) Date: Wed, 5 Apr 2023 21:29:13 +0000 Subject: Connectionists: CFP: Correlative Learning Workshop at IJCNN 2023 Message-ID: See https://correlativelearning.ai/ for details. Workshop Topics ----------------------- Despite gradient descent being the dominant approach to parameter adaptation in neural networks, correlative learning is often considered to be more biologically plausible, easier to implement in hardware and an interesting alternative to the gradient-based methods. Our workshop is a venue for the discussion of correlation-based learning methods, their applications, recent developments and future directions. This workshop will help build a community of researchers interested in discussing common problems and elucidating the most important questions facing these types of approaches. Call for Participation --------------------------- Correlative Learning (CL) uses product terms, rather than derivatives, to adapt the parameters of learning systems. Though CL has had significant impact on neuroscience, signal processing, and control, the Machine Learning (ML) community still predominantly uses derivative-based approaches. Several CL approaches were introduced in the 1990s and shown to be effective in Neural Networks with a few layers and a moderate number of parameters. One of the best known examples of CL is Hebbian learning. Some others, like Alopex are applied in a stochastic framework. In this workshop we plan to thoroughly investigate the effectiveness of CL for current Deep Learning (DL) systems; this could also enhance the effectiveness of other methods. This workshop seeks to bring together practitioners of CL from Neuroscience, Psychology, Computer Science, Physics, Mathematics, and other fields. Discussion of recent results across a diverse range of applications can create an active community of CL researchers and this can lead to dissemination of CL approaches more broadly to the ML community. We plan to devote about half of the workshop to lively discussions, based on a set of questions, like: ?How can we get better approximate gradient information through correlations??, ?What are the implementational advantages of CL in hardware and software??, ?How can we scale CL to deeper, wider networks??, ?Can CL benefit from adaptive momentum in the ADAM and related algorithms??, ?How can biological CL models inform ML??. Also, an entire session of the workshop will be devoted to graduate students and post-docs, where presentations and discussions about their nascent ideas can help create the next generation CL community. We invite anyone interested in Correlative Learning to join us at IJCNN 2023 either in person or virtually. Submission Details -------------------------- In order to maximise time for discussion and encourage the development of the field, we have scheduled five colloquia and six early career researcher presentations (open to graduate students and those who were awarded a PhD within the last 10 years). Colloquia and presentations will be selected by the program committee. Criteria for selection are: appropriateness to the workshop and merit. To submit a colloquium proposal send (1) your name, (2) a brief biography, (3) a title, (4) an abstract of 300 words or less (not-including references), (5) for early career a statement regarding your qualification for the category signed by a graduate advisor, to abstract at correlativelearning.ai by no later than the end of day April 16th (AOE). Chuck Anderson Department of Computer Science Colorado State University http://www.cs.colostate.edu/~anderson -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Apr 5 07:35:23 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 5 Apr 2023 13:35:23 +0200 Subject: Connectionists: Initial CFP --> Cognitive Cloud Continuum Ecosystems: Theory and Practice --> HICSS event --> June 15 submission deadline In-Reply-To: References: Message-ID: CALL FOR PAPERS Cognitive Cloud Continuum Ecosystems: Theory and Practice Honolulu, Hawaii, January 3-6, 2024 HICSS57 Minitrack https://hicss.hawaii.edu/tracks-57/software-technology/ Cognitive Cloud is an enhanced Cloud-Fog-Edge system that is capable of sensing its environment, learning from it, and opportunistically and dynamically adapting its computational loads to the user intents. Here, the core enabling technologies, for management of resources, services and data are AI/ML techniques, which infuse the cognitive aspects into the continuum. This minitrack intends to solicit papers that discuss the theoretical and practical aspects of Cognitive Cloud Ecosystems from a system perspective. Topics of interest include: * Architectures for the Cognitive Cloud for?systems that are user-aware, self-aware and (semi-)autonomous; address the need for real-time capable solutions; and solve performance challenges, such as data streaming and filtering near/at the edge, overcoming latency and network constraints * Service mesh networking that controls service-to-service communication across cognitive cloud ecosystem * Orchestration of (sub)systems in the Cognitive Cloud, possibly subdivided into orchestration of resources, services, and data (including zero-touch approaches) * Use of distributed AI across the Cognitive Cloud to make it intelligent * Interconnection of Cognitive Clouds with Data Spaces * Security, privacy and trust (likely, by design) in a multi-tenet de-centralized systems, possibly with no single point of governance * Interoperability across the Cognitive Cloud Ecosystems to cope with the increased complexity of vast numbers of heterogeneous devices, while supporting demands for data sharing combined with the demand for protection of privacy * Role of intelligent devices, drawing from applicable results in micro/nano/bio technologies, including resource-aware hardware/software concepts, low power processor platforms integrating computing, networking, storage and acceleration elements, new communication schemes and topologies that range from the cloud continuum towards mesh, and securing computing and communication at device level with constrained resources * Tactile/contextual Internet of Things based on human-centric sensing/actuating, augmented/virtual reality and new service capabilities such as integration with parallel and opportunistic computing capabilities, neuromorphic and contextual computing. * Energy aware systems from the perspective of systems integration for efficient deployment of services and use of resources in the Cognitive Cloud * Strategies for the deployment of hyper-distributed applications in the Cognitive Cloud from services description to dynamic reorganization of the deployment * Extreme data processing applications and Frugal AI in the cognitive cloud * Applications of Cognitive Cloud including implementation of ecosystems, pilots, lessons learned, barriers, etc. Important Dates Submission Deadline: June 15, 2023 | 11:59 pm HST Notification of Acceptance/Rejection: August 17, 2023 | 11:59 pm HST Deadline for Submission of Final Manuscript for Publication: September 22, 2023 | 11:59 pm HST Deadline for at least one author to register for HICSS-57: October 1, 2023 | 11:59 pm HST Minitrack Co-Chairs Marcin Paprzycki (Primary Contact) Polish Academy of Sciences marcin.paprzycki at ibspan.waw.pl Maria Ganzha Polish Academy of Sciences m.ganzha at mini.pw.edu.pl Harilaos Koumaras Institute of Informatics and Telecommunications koumaras at iit.demokritos.gr Carlos Palau Univeristat Politecnica de Valencia cpalau at dcom.upv.es From mathislamarre at gmail.com Wed Apr 5 12:48:52 2023 From: mathislamarre at gmail.com (Mathis Lamarre) Date: Wed, 5 Apr 2023 18:48:52 +0200 Subject: Connectionists: Ph.D. position on language processing in the brain @ TU Berlin with UC Berkeley Message-ID: We will develop a computational framework to understand how linguistic information is represented in the brain. Computational encoding models in combination with deep learning-based machine learning techniques will be developed, compared, and applied to identify linguistic representations in the brain. This work is in collaboration with Fatma Deniz at the Technical University Berlin and Jack Gallant at the Helen Wills Neuroscience Institute at UC Berkeley. Link to the job offer: https://www.jobs.tu-berlin.de/en/job-postings/163796 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mturner at flatironinstitute.org Wed Apr 5 11:40:39 2023 From: mturner at flatironinstitute.org (Matthew Turner) Date: Wed, 5 Apr 2023 11:40:39 -0400 Subject: Connectionists: Call for Applications for CCN Junior Theoretical Neuroscientist Workshop Message-ID: *Call for Applications for CCN Junior Theoretical Neuroscientist Workshop * June 29-30, 2023 The Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation invites applications for our first Junior Theoretical Neuroscientist Workshop . The Junior Theoretical Neuroscientist?s workshop is a showcase for advanced PhD students and postdocs to share cutting-edge research and connect with the theoretical neuroscience community at the Flatiron Institute and the broader NYC area. We expect to select 8 trainees to participate in the workshop over June 29-30, 2023, at the Flatiron Institute (160 5th Ave, New York, NY), providing an extended opportunity to exchange ideas within a small group setting. Each participant will contribute a 30 minute research talk followed by a 40 minute interactive discussion of the technical details behind the work. Through these interactions and unstructured meeting times, participants will receive valuable feedback from their peers as well as the broader Flatiron community. Talks from senior Flatiron researchers and an external keynote speaker are also planned to broaden the scope of the workshop. Our aim is to attract a group of talented theorists studying different topics and coming from diverse backgrounds. We expect the workshop will provide a particularly excellent opportunity for participants in the process of planning their next career stage. *There is no charge to attend the workshop.* Each day, meals will be provided for attendees, and accommodations will be provided for non-local participants. *Application materials* - *CV* - *Abstract for Talk (1 page) * - *1-2 authored papers or preprints related to the talk* - *(Optional) Brief cover letter explaining your interest in the workshop and your current research trajectory* - (Optional) website, google scholar link *Organizers* - Alex Williams , Associate Research Scientist and Project Leader, CCN, and Assistant Professor, Center for Neural Science, NYU - SueYeon Chung , Associate Research Scientist and Project Leader, CCN, and Assistant Professor, Center for Neural Science, NYU - Eero Simoncelli, Scientific Director, CCN, and Silver Professor, NYU - Dmitri Chklovskii, Group Leader, CCN *Deadline Schedule* - Application Deadline: April 30, 2023 - Notification of admittance: May 8, 2023 - Acceptance Deadline: May 19, 2023 Interested persons may apply online directly here: https://indico.flatironinstitute.org/event/3534/ Please contact Matthew Turner, the CCN administrative manager ( mturner at flatironinstitute.org), with any questions. Cordially, MatthewMatthew B. Turner Manager for Center Administration | Center for Computational Neuroscience Pronouns: any *FLATIRON INSTITUTE* 160 Fifth Avenue Suite 408 New York, NY 10010 917.363.1095 *mobile* *simonsfoundation.org/flatiron/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhargav.rrv at gmail.com Wed Apr 5 17:20:40 2023 From: bhargav.rrv at gmail.com (Bhargav Teja) Date: Wed, 5 Apr 2023 17:20:40 -0400 Subject: Connectionists: [Jobs] Postdoc in Data Science and NeuroInformatics [The Ezzati Laboratory / Neurology / School of Medicine / UC Irvine] Message-ID: [The Ezzati Laboratory / Neurology / School of Medicine / UC Irvine] *POSTDOCTORAL SCHOLAR ? DATA SCIENCE AND NEUROINFORMATICS* Our data-science and neuroinformatics research group is seeking a Postdoctoral Fellow to work with our investigators in the department of Neurology. The candidate will be under direct supervision of Dr. Ali Ezzati, M.D. and will have the opportunity to be co-mentored and collaborate with our world-class, multidisciplinary team of expert faculty in Neurology, Epidemiology, data-science, and biostatistics. The Primary field of study for our group is Alzheimer?s disease and Other Dementia with a focus on using advanced biostatical modeling, artificial intelligence, and machine learning methods. There will be opportunities to work with large biomedical data across difference fields of neurology, including but not limited to Alzheimer?s disease, Aging and dementia, neuroepidemiology, cerebrovascular health, and Headache medicine. This is an excellent opportunity for candidates who are interested to peruse a career in clinical and translational neuroscience, data-science, neuroinformatics, or digital health. The candidate is expected to be functioning somewhat independently, working with large data from several cohorts and clinical trials; run analytical models on longitudinal data; develop novel predictive models and analytical tools; summarize findings and publish results in research journals; assume general responsibility for scientific operations of the laboratory; provide supervision and guidance to junior technicians, students, and researchers; help with development and execution of clinical research studies; and contribute to grant writing. *Basic qualifications (required at time of application):* - Recent or anticipated PhD or equivalent degree - Experience and PhD in Neuroscience, Computational Biology, Computer science, Statistics, Mathematics, or related fields obtained within the last 3 years. - Excellent programming skills specifically in R and/or Python. - Evidence for excellent written and oral communication skills including prior peer-reviewed publications and conference presentations. *Requirements:* - Recent (<3 years from graduation) or anticipated PhD or equivalent degree - Experience and PhD in Neuroscience, Computational Biology, Computer science, Statistics, Mathematics, or related fields. - Excellent programming skills specifically in R and/or Python. - Evidence for excellent written and oral communication skills including prior peer-reviewed publications and conference presentations. *Preferred Qualifications* - Background in and knowledge of biostatistics and clinical research. - Applicants with prior knowledge in cognitive neurology and neurodegenerative disease, epidemiology, pain, and headache medicine are especially encouraged to apply. Note: This is an in-person position. Our office is located at UCI campus in Irvine, California. *Salary range: * The salary range for this position is $55,632-$66,600. The posted UC salary scales set the minimum pay determined by experience level. See Postdoc Scholar Scale [ https://sites.uci.edu/academicpersonnel/files/2023/02/postdoc-v2.pdf] for the salary range. ?Off-scale salaries?, i.e. a salary that is higher than the published system-wide salary at the designated experience, are offered when necessary to meet competitive conditions. ? Substantive inquiries about the positions should be directed to: Ali Ezzati, MD Associate Professor of Neurology UCI Department of Neurology University of California, Irvine 200 S. Manchester Ave. Ste 206, Orange, CA 92868 [ezzatia at uci.edu] TO APPLY: Please log onto UCI?s RECRUIT located at [ https://recruit.ap.uci.edu/JPF08119] Applicants should complete an online application profile and upload the following application materials electronically to be considered for the position: 1. Cover letter?Please discuss current research, future plans and why this position suits you. 2. Curriculum Vitae 3. Statement of Research 4. Inclusive Excellence Activities Statement - Statement addressing how past and/or potential contributions to inclusive excellence will advance UCI's Commitment to Inclusive Excellence. 5. Names and Contact Information of 3-5 References required (contact information only) 6. Misc. / Additional (Optional) *Department*: https://www.neurology.uci.edu/ Regards, Bhargav T Nallapu, Ph.D Postdoctoral Researcher, Ezzati Group -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.stein at fz-juelich.de Thu Apr 6 06:43:04 2023 From: a.stein at fz-juelich.de (Alexandra Stein) Date: Thu, 6 Apr 2023 12:43:04 +0200 Subject: Connectionists: REMINDER: call for nominations Valentin Braitenberg Award Message-ID: <1b53774c-1f68-e188-1254-e9b503387fe5@fz-juelich.de> *REMINDER: Call for nominations for the Valentin Braitenberg Award* ____________ Since 2012, the *Bernstein Network Computational Neuroscience awards the Valentin Braitenberg Award* every two years, which honors outstanding scientific achievements in the field of computational neuroscience. Following Braitenberg?s scientific tradition, special attention is paid to theoretical studies that reveal the functional significance of brain structures and their neuronal network dynamics. The award ceremony Further information: https://bernstein-network.de/en/network/awards-and-initiatives/valentin-braitenberg-award *We welcome nominations for the Valentin Braitenberg Award for Computational Neuroscience 2023 until April 30, 2023. The award will be presented at the Bernstein Conference 2023 in Berlin.* _____________ *Award criteria:* The major criterion for the selection of the awardee is the impact of the recipient?s research on the neurosciences. In the spirit of Valentin Braitenberg?s research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The crucial work should preferentially have been carried out in a European institution. ________________ *Nominations:* Nominations may be submitted by scientists working in the field of Computational Neuroscience and should include the following documents: * One-page laudation, in which the scientific work of the candidate is honored with regard to the award?s criteria * CV and list of publications Please send the nomination documents via to Dr. Alexandra Stein, a.stein at fz-juelich.de, (Head of Bernstein Coordination Site). _________________ *Former award winners:* * Eve Marder * Wulfram Gerstner * David Willshaw * Alexander Borst * Moshe Abeles -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9a | 79104 Freiburg, Germany phone: +49 (0)761 203 9583 mobile: +49 (0)151 67114645 mail:a.stein at fz-juelich.de web:www.bernstein-network.de Twitter: BernsteinNeuro LinkedIn: Bernstein Network Computational Neuroscience, Germany Mastodon:BernsteinNetwork at mastodon.world -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5924 bytes Desc: S/MIME Cryptographic Signature URL: From a.stein at fz-juelich.de Thu Apr 6 06:26:44 2023 From: a.stein at fz-juelich.de (Alexandra Stein) Date: Thu, 6 Apr 2023 12:26:44 +0200 Subject: Connectionists: Call for Satellite Workshop Proposals, Bernstein Conference 2023 in Berlin Message-ID: <21af1dde-5952-3f22-e76c-b99806d00653@fz-juelich.de> *REMINDER: Call for Satellite Workshop Proposals, Bernstein Conference 2023 in Berlin* +++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops preceding the Bernstein Conference 2023 in Berlin. +++ ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES -Satellite Workshops: September 26 - 27, 2022 oTuesday, Sep 26, 14:00 ? 18:00 CEST oWednesday, Sep 27, 8:30 ? 12:30 CEST -Main Conference: September 27 ? September 29, 202 -***Deadline for Satellite Workshop proposal submission: Wednesday, April 26 at 15:00 CEST, and will NOT be extended* -Notification of workshop acceptance: planned in mid May 2022 Find further information here: https://bernstein-network.de/bernstein-conference/call-for-satellite-workshops/ ____ FINANCIAL SUPPORT Workshop registration is free for all organizers and speakers of workshops. Workshop organizers will additionally receive a waiver for the main conference fee. From the accepted workshops up to ten workshops will be selected to receive financial support of up to 1500 ? each.** ____ For any further questions, please contact: bernstein.conference at fz-juelich.de -- Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany web:www.bernstein-network.de www.bernstein-conference.de Twitter: @BernsteinNeuro Vimeo:https://vimeo.com/bernsteinnetwork LinkedIn: Bernstein Network Computational Neuroscience, Germany -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9a | 79104 Freiburg, Germany phone: +49 (0)761 203 9583 mobile: +49 (0)151 67114645 mail:a.stein at fz-juelich.de web:www.bernstein-network.de Twitter: BernsteinNeuro LinkedIn: Bernstein Network Computational Neuroscience, Germany Mastodon:BernsteinNetwork at mastodon.world -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5924 bytes Desc: S/MIME Cryptographic Signature URL: From georgeangelos60 at gmail.com Thu Apr 6 05:24:31 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Thu, 6 Apr 2023 12:24:31 +0300 Subject: Connectionists: 19th IEEE eScience Conference (eScience 2023): Fourth Call for Papers Message-ID: *** Fourth Call for Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is ?open eScience?. This year, the conference is promoting four additional key topics: ? Computational Science for sustainable development ? FAIR ? Research Infrastructures for eScience ? Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting two types of contributions: ? Full papers (10 pages) presenting previously unpublished research achievements or eScience experiences and solutions ? Posters (2 pages) showcasing early-stage results and innovations Submitted papers should use the IEEE 8.5?11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5?11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for an oral presentation. Accepted posters will be presented during a poster reception. Accepted full papers and poster papers will be published in the conference proceedings. Rejected full papers can be re-submitted for a poster presentation. At least one author of each accepted paper or poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. ? Best Paper Award ? Best Student Paper Award ? Best Poster Award ? Best Student Poster Award ? Outstanding Early Career Contribution ? this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES ? Paper Submissions Due: Friday, May 26, 2023 (AoE) ? Notification of Paper Acceptance: Friday, June 30, 2023 ? Poster Submissions due: Friday, July 7, 2023 (AoE) ? Poster Acceptance Notification: Monday, July 24, 2023 ? All Camera-ready Submissions due: Monday, August 14, 2023 ? Author Registration Deadline: Monday, August 14, 2023 ORGANISATION General Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs ? Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA ? Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program at eScience-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From bpaassen at techfak.uni-bielefeld.de Fri Apr 7 11:15:02 2023 From: bpaassen at techfak.uni-bielefeld.de (Benjamin Paassen) Date: Fri, 7 Apr 2023 17:15:02 +0200 Subject: Connectionists: PhD positions for interactive machine learning & machine learning for education Message-ID: Dear colleagues, the newly established research group "Knowledge Representation and Machine Learning" at Bielefeld University, Germany is looking for PhD candidates with the following foci: 1. Research position for machine learning in intelligent tutoring systems (fixed-term contract until July 31, 2026 : https://uni-bielefeld.hr4you.org/job/view/2353/research-position-for-the-ai-joint-project-sail-subproject-r3-5?page_lang=en ) 2. Research (80%) + teaching (20%) position for interactive and interpretable machine learning and empiric studies (fixed-term contract for four years: https://uni-bielefeld.hr4you.org/job/view/2336/research-assistant-research-group-knowledge-respresentation-and-machine-learning?page_lang=en ) The deadline for applications is *April 20, 2023*. A third position on ML in intelligent Tutoring systems (fixed-term contract for your years, 80% research, 20% teaching) will be announced soon. All position are intended for PhD students and are *full-time* research assistant positions, paid according to TVL E13 (roughly 52 000 EUR per year, before taxes and deducations). Equipment and office space will be provided for you. Also note that living is reasonably affordable in Bielefeld and the university only asks for very modest student fees (around 650 EUR per year). Finally, note that the research group is still new and small, such that you would profit from close collaboration with and easy access to your supervisor. Please do not hesitate to contact me in case of questions ( bpaassen at techfak.uni-bielefeld.de ) and I am very much looking forward to your applications! Best regards Benjamin Paa?en (Junior Professor for "Knowledge Representation and Machine Learning") From iccc.conference at gmail.com Fri Apr 7 15:04:44 2023 From: iccc.conference at gmail.com (Int. Conference on Computational Creativity) Date: Fri, 7 Apr 2023 20:04:44 +0100 Subject: Connectionists: CfP: ICCC'23 Call for Short papers, 14th International Conference on Computational Creativity Message-ID: Dear colleague, Below you will find the official call. Please feel free to distribute it to mailing lists you manage and to everybody who may be interested. - - - - - - - - - - - - - - - - - - - - - - - - - - *14th International Conference on Computational Creativity (ICCC'23)* June 19 - 23, 2023, Waterloo in Ontario, Canada Call for papers: Short Papers https://computationalcreativity.net/iccc23/short-papers/ - - - - - - - - - - - - - - - - - - - - - - - - - - Computational Creativity (or CC) is a discipline with its roots in Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on systems that act as creative partners for humans, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on. **** Important Dates **** Submissions due: May 2nd, 2023 Acceptance notification: May 19th, 2023 Camera-ready copies due: May 31st, 2023 Conference: June 19-23, 2023 All deadlines given are 23:59 anywhere on Earth time. **** Special topics **** In addition to the topics listed in the subsequent section, this year we encourage submissions in the following areas. The aim is to explore overlaps between Computational Creativity and the following critical issues: ? Climate Change ? Diversity, Equity and Inclusion **** Topics **** Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to: - Application of Computational Creativity: Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming. - Human-Machine Creativity: Applications and frameworks that allow for co-creativity between humans and machines, in which the machine acts as a meaningful creative partner. - Evaluation: Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how systems are perceived in society. - Computational Models and Paradigms: Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings. Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation. - Interdisciplinary perspectives: Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts; Perspectives on computational creativity which draw from philosophical and/or sociological studies in a context of creative intelligent systems. - Focus on data: Big data approaches to computational creativity; Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials. - Societal Impact: Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems. - Novel experiences & factors:Innovation, improvisation, virtuosity and related pursuits investigating the production of novel experiences and artifacts within a CC context. Computational accounts of factors that enhance creativity, including emotion, surprise (unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures. - CC Provocations: Raising new issues that bring the foundations of the discipline into question or throw new light on seemingly settled ones. New papers reflecting all computational approaches and perspectives on creativity are welcome, including e.g., symbolic approaches, neural and statistical approaches, hybrid approaches, big-data approaches, rule-based approaches, curated approaches, and so on. The onus is on authors to argue and/or explicitly demonstrate the relevance of their work to the topic of computational creativity **** Paper Types **** Short papers offer concise treatments of work and ideas that are better suited to this concentrated format. We welcome different types of short paper, such as System Demonstrations, Late Breaking Results, Field and event reports, Debate Sparks, among others. **** More Information **** More information can be found at https://computationalcreativity.net/iccc23/short-papers/ **** Organising Committee **** ? General Chair Dan Brown ? Program Chairs: Alison Pease, Jo?o Miguel Cunha and Maya Ackerman ? Workshops and Tutorials Chair: Rafael P?rez y P?rez ? Doctoral Consortium Chair: Pablo Gerv?s ? Demo Chair: Rob Saunders ? Publicity Chair: Christian Guckelsberger ? Proceedings Chair & Webmaster: Paul Bodily ------------------------------------------------ ICCC Proceedings: http://computationalcreativity.net/home/resources/bibliography/ Follow us at: facebook ? https://www.facebook.com/pg/computationalcreativity/ twitter ? https://twitter.com/iccc_conf instagram ? https://www.instagram.com/iccc_conf/ Subscribe our updates: https://mailchi.mp/f7b08f4ab14f/iccc23 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nathanyaqueby21 at gmail.com Sat Apr 8 00:00:00 2023 From: nathanyaqueby21 at gmail.com (Nathanya Queby Satriani) Date: Sat, 8 Apr 2023 06:00:00 +0200 Subject: Connectionists: =?utf-8?q?=E2=9A=A1_Lightning_Talks_on_Adversaria?= =?utf-8?q?l_Training=2C_Efficient_Audio_Embedding_Extractors=2C_an?= =?utf-8?q?d_Neural_Audio_Synthesis?= Message-ID: Dear AI students and enthusiasts, neuron.ai proudly presents a new hybrid knowledge exchange format - the "Lightning Talks" ? In less than two weeks, we are hosting three short, fascinating talks by researchers and Ph.D. students from the Institute of Computational Perception at Johannes Kepler University Linz on the following topics: 1. *Adversarial Training* by Shahed Masoudian 2. *Efficient Audio Embedding Extractors* by Florian Schmid 3. *Musings on Neural Audio Synthesis* by Lukas Samuel Mart?k The event will take place on: ? Wednesday, April 19th, 2023 ? 19:00 - 20:00 CEST (13:00 EST, 17:00 GMT) ? Hybrid (in person at JKU Campus and online via Zoom) Register for free on our website to secure your spot and you will receive a confirmation email shortly afterward: https://neuron-ai.at/event/lightning-talks/ Details on the location as well as the Zoom link will be sent via email a few days prior to the event. If you have not received them, please check your spam folder and feel free to reach out to us if you have further inquiries. There will be a chance to ask questions during the *Q&A session*, therefore be sure to join us and engage in fruitful discussions with fellow AI enthusiasts. We are looking forward to welcoming you in person or online. ? Best, Queby *Nathanya Queby Satriani*Marketing & Design Department @ neuron.ai The first student-run initiative for AI in Austria. [image: https://www.linkedin.com/company/neuron-ai-austria/] [image: https://www.instagram.com/neuron.ai_austria/] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: lightning talks.png Type: image/png Size: 1306197 bytes Desc: not available URL: From marcin at amu.edu.pl Fri Apr 7 10:39:23 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 7 Apr 2023 16:39:23 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS=2C1st_Workshop_on_AI_in?= =?utf-8?q?_Agriculture_=28AgriAI=E2=80=9923=3B_IEEE_=2357573=29=3B_Web_of?= =?utf-8?q?_Science=3B_May_23=2C_2023_deadline?= In-Reply-To: <6cb2f824-c656-c57b-a4a5-edc26459d0fb@ibspan.waw.pl> References: <6cb2f824-c656-c57b-a4a5-edc26459d0fb@ibspan.waw.pl> Message-ID: <6a71657d-9693-121a-f166-4188e3ee4684@amu.edu.pl> CALL FOR PAPERS 1st Workshop on AI in Agriculture (AgriAI?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/aaia/agriai Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* Artificial Intelligence (AI) is increasingly used in agriculture for a variety of uses, from plant disease detection to weeding automation, soil status monitoring, crop prediction, irrigation management, and decreased use of resources for improving quality and productivity. This workshop welcomes contributions related to a wide variety of interdisciplinary research and applications related to artificial intelligence in agriculture. AI can, in fact, provide highly positive effects on precision agriculture by optimizing, automating and forecasting several aspects of farming and revolutionizing the sector, providing helpful information and driving decisions using multiple sources of data and different sensors. Moreover, in the climate change era, AI can improve sustainability by optimizing the use of resources such as water and soil management. We welcome innovative contributions, early results and position papers addressing one or more of the topics listed below and intend to foster informal discussions and bring together researchers, practitioners and industry experts to explore the challenges and opportunities of AI and Agriculture. We look forward to receiving your submissions and seeing you at the workshop! Topics Papers related to theories, methodologies, and applications in science and technology in the field of AI in Agriculture are especially solicited. Topics covering applications and academic research are included, but not limited to: - Computer vision in agriculture - Signal and image processing in agriculture - Computational intelligence in agriculture - Artificial intelligence in agriculture - Decision support systems - Expert systems & predictive systems - AI-based precision agriculture - Machine learning and pattern recognition - IoT in agriculture - Food and livestock management - Big data - Remote sensing - Unmanned aerial vehicle vehicles - Autonomous driving in agriculture - Harvesting automation - Robotics and robotic perception in agriculture - Ethics and social impact of AI on agriculture - AI-based crowd-sensing and participatory approaches in agriculture - Applications in agriculture Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 + Conference date: September 17-20, 2023 AgriAI Committee: https://fedcsis.org/sessions/aaia/agriai/committee From dhansel0 at gmail.com Sun Apr 9 04:17:11 2023 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 9 Apr 2023 11:17:11 +0300 Subject: Connectionists: Fwd: NeuroBridges 2023: A Mediterranean, Middle Eastern Summer School in Neuroscience - Application is open. Deadline to apply: May 15, 2023 In-Reply-To: References: Message-ID: *NeuroBridges 2023* > > *A Mediterranean, Middle Eastern Summer School in Neuroscience* > > *Deadline to apply: May 15, 202**3* > > > *NeuroBridges 2023* is a summer school which will take place between *September > 3 and September 14, 2023* in Le Centre de Conferences Internationales de > Cluny, France (CCIC) > > . > > The school will provide an overview of theoretical and experimental > frameworks used to study a variety of *decision making* processes. It > will cover different model systems from rodents to humans and a plethora of > decision making mechanisms. > > Another objective of Neurobridges is to bring together *Mediterranean and > Middle Eastern scientists*, in order to promote scientific cooperation > between young researchers from these countries. The organizers of > NeuroBridges are convinced that such scientific collaborations can lead to > personal relations, which eventually may alleviate the political distress > in the Middle East. > > The school is intended for graduate students and postdocs, primarily, but > not only, from the Middle East and the Mediterranean region, either working > in their home countries or abroad. Applicants should have some background > in related fields in neuroscience or cognitive psychology. *All costs of > registration and accommodation will be covered by the organizers. A limited > number of travel grants will be also be available*. > > > > *NeuroBridges 2023 Faculty:* Alaa Ahmed (U. Colorado), Carlos Brody > (Princeton), Iain Couzin (MPI), Roozbeh Kiani (NYU), Carole Levenes (CNRS), > Drazen Prelec (MIT), Rava Azeredo da Silveira (IOB and CNRS) and Yoram > Yovell (Hadassah Hebrew U. Medical Center). > > > > *NeuroBridges* is co-organized by Ahmed El Hady (MPI, Konstanz, Germany), > Yonatan Loewenstein (Hebrew University of Jerusalem, Israel) and David > Hansel (CNRS, Paris, France). > > > > *NeuroBridges 2023* is supported by the Simons Foundation, the CNRS and > ELSC, and is in partnership with VVTNS (https://www.wwtns.online/). > > > > For more information and application, visit our website: > > https://neurobridges.net/neurobridges2023.html > > > > *Contact us:* neurobridges2023 at gmail.com > -- --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Apr 8 15:42:06 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 8 Apr 2023 21:42:06 +0200 (CEST) Subject: Connectionists: BigDat 2023 Summer: early registration April 28 Message-ID: <752741652.2157710.1680982926789@webmail.strato.com> *********************************************** 7th INTERNATIONAL SCHOOL ON BIG DATA BigDat 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://bigdat.irdta.eu/2023su *********************************************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice - IRDTA Brussels/London *********************************************** Early registration: April 28, 2023 *********************************************** FRAMEWORK: BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the opportunity to attend lectures in the program of DeepLearn 2023 Summer as well if they are interested. SCOPE: BigDat 2023 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 big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona. Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, health, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, analytics, security and privacy, as well as applications to biology and medicine, business, finance, transportation, online social networks, etc. Major challenges of analytics, management and storage of big data will be identified through 14 four-hour and a half courses and 2 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 employment 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, BigDat 2023 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: BigDat 2023 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/ STRUCTURE: 2 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. Also, if interested, participants will be able to attend courses developed in DeepLearn 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Valerie Daggett (University of Washington), Dynameomics: From Atomistic Simulations of All Protein Folds to the Discovery of a New Protein Structure to the Design of a Diagnostic Test for Alzheimer?s Disease Sander Klous (University of Amsterdam), How to Audit an Analysis on a Federative Data Exchange PROFESSORS AND COURSES: Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data Marcelo Bertalm?o (Spanish National Research Council), [introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks Gianluca Bontempi (Universit? Libre de Bruxelles), [intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference Altan ?akir (Istanbul Technical University), [introductory/intermediate] Introduction to Big Data with Apache Spark Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data Intensive Science Analysis Ravi Kumar (Google), [intermediate/advanced] Differential Privacy Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Jos? M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph Signal Processing and Geometric Learning Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics for Massive Networks Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Network-Based Health Analytics Steven Skiena (Stony Brook University), [introductory/intermediate] Word and Graph Embeddings for Machine Learning Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate] Meta-Analysis Methods for High-Dimensional Data Ana Trisovic (Harvard University), [introductory/advanced] Principles, Statistical and Computational Tools for Reproducible Data Science Sebasti?n Ventura (University of C?rdoba), [intermediate] Supervised Descriptive Pattern Mining 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 9, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data 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 9, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in big data 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 July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) 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://bigdat.irdta.eu/2023su/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 as well as eventually courses in DeepLearn 2023 Summer. 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 are available at https://bigdat.irdta.eu/2023su/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 - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From drshadiconf at gmail.com Sun Apr 9 07:18:34 2023 From: drshadiconf at gmail.com (Mohammad Al-Madi) Date: Sun, 9 Apr 2023 14:18:34 +0300 Subject: Connectionists: CFP: ICIT-2023 - August 09th-10th, 2023 || Amman, Jordan Message-ID: *Please accept our apologies if you receive multiple copies of this email* *The 11th International Conference on Information Technology * *(ICIT-2023)August 09th-10th, 2023 || Amman, Jordan* http://icit.zuj.edu.jo/icit2023/Index.html The 11th International Conference on Information Technology (ICIT 2023) will be held on 9th-10th August 2023 in Amman, Jordan. Al-Zaytoonah University of Jordan organizes this Conference in cooperation with the Scienti?c Research Group in Egypt (SRGE) and technically co-sponsored by IEEE. The Conference will bring together the top researchers worldwide to exchange their research results and address open issues in Cybersecurity, Arti?cial Intelligence and Data Science, Software Engineering, E-Technologies, Computer Vision and Multimedia Systems, Mathematical Modeling and Analysis, Smart Technologies and Sustainability, and Computer Engineering. All papers must be written in English and will be reviewed by the technical committees of the Conference. All accepted papers will be submitted for inclusion in the IEEE Xplore Digital Library as well as Scopus. Authors of selected papers will also be invited to prepare extended papers of their work for publication in the International Journal of Advances in Soft Computing and its Applications (IJASCA). Authors are invited to submit their original work, which is not submitted elsewhere, to this workshop. The accepted papers of the workshop will be published by the IEEE Conference Publishing Services (CPS) and will be submitted for inclusion in the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. *Important Dates* - *Paper Submission: Mar 15,2023 - May 01, 2023 * - *Review Decision Notifications: June 01, 2023 * - *Camera-ready and Registration: July 15, 2023 * - *Registration Date: July 15, 2023 - August 01, 2023 * *Tracks: * - *Cyber Security * *Authentication, Access Control and Authorization, Blockchain and Cryptocurrency, Cloud Computing Security, Cryptology and Its Application, Cybercrime Awareness, Data Protection, Digital Forensics, Distributed Systems Security, Embedded Systems Security, Hardware Security, Hate, Harassment, and Online Abuse, Information Security, Intrusion Detection and Prevention, Laws and Regulations, Malware and Unwanted Software, Network Security, Operating Systems Security, Protocol Security, Security and Privacy Metrics and Policies, Security Architectures, Systems Security, Web Security, Wireless and Mobile Security/Privacy. * - *Arti?cial Intelligence and Data Science * *Big Data, Data Analytics, Data Mining, Machine Learning, Deep Learning, Human-Computer Interaction, Natural Language Processing, Bioinformatics, Health Informatics, Intelligent Systems, Information Retrieval. * - *E-Technologies * *E-Business, E-Learning, Distance Learning, E-Education, E-Government, Digital marketing, Smart cities, Mobile applications. * - *Computer Vision and Multimedia Systems * *Pattern Recognition, Computer Vision, Medical Imaging, Animated Technologies, Virtual Reality, 3D Printing, Audio, Image, and Video Analysis, Image Processing and Modelling. * - *Software Engineering * *Software Engineering and Quality, Continuous Software Engineering (e.g., DevOps, agile, etc.), Formal Methods Applied to Software Engineering, Human and Social Aspects of Software Engineering, Machine Learning Applied to Software Engineering, Model-Driven Software Engineering, Search-Based Software Engineering, Software Architecture, Software Economics and Metrics, Software Engineering Education and Training, Software Maintenance and Evolution, Software Process, Information Systems. * - *Mathematical Modeling and Analysis * *Operation Research, Risk Management, Statistic Process and Analysis, Computer Graphics and Di?erential Equations, Applied Problems and Methods in Research and Education, Mathematical Modeling in Computing and Optimization, Computational Methods and Combinatorics, Data Analysis. * - *Computer Engineering * *Computer Architecture, Embedded Systems, Digital Circuits Applications, Parallel and High Performance Processing, Performance Evaluation and Modeling, Storage Systems, GPUs, Multicore Processors, and Hardware Accelerators. * - *Smart Technologies and Sustainability * *Distributed Energy Resources, Material Science, Intelligent Transportation Systems, Energy and Electricity Grid, Powered Smart City Services, Smart Education, Smart Health Care Systems, Drone technology, Open Data and Big Data Analytics, Smart Tra?c Systems, Smart Driverless Vehicles, Internet of Things.* *For More Information * - Visit the conference website at http://icit.zuj.edu.jo/icit2023/Index.html , particularly the *Submission *page. - Papers should be submitted to: https://www.edas.info/newPaper.php?c=30290 *General Co-chairs:* - Prof. Amjed Zraiqat *Dr. Shadi AlZu'bi* *Associate Professor * *Computer Science Department* *Al Zaytoonah University of Jordan* *Amman* smalzubi at zuj.edu.jo +(962) 799 100034 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastian.otte at uni-tuebingen.de Sun Apr 9 17:29:39 2023 From: sebastian.otte at uni-tuebingen.de (Sebastian Otte) Date: Sun, 9 Apr 2023 23:29:39 +0200 Subject: Connectionists: ICANN 2023 - Deadline Extension & Last Call for Papers Message-ID: 32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks CALL FOR PAPERS All scientific communications presented at ICANN 2023 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. Authors willing to present original contributions in either oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the program and is totally independent of the category of submission. SPECIAL SESSIONS ICANN 2023 will host three special sessions: - Neurorobotics (track NRR 2023) - Recent Advances in Spiking Neural Networks (track ARNN 2023) - The challenge of errors, stability, robustness, and accuracy in deep neural networks (track ESRA in DNN 2023) To submit a paper to one of the special sessions, please select the respective track in the submission system. Please find more details about the special sessions at: https://e-nns.org/icann2023/conference-programme/special-sessions/ SUBMISSION DEADLINE (EXTENDED) - Full paper and extended abstract submission: Apr. 19, 2023 BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of T?bingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece From editor.auto.reply1 at gmail.com Mon Apr 10 05:37:14 2023 From: editor.auto.reply1 at gmail.com (Editor-in- Chief) Date: Mon, 10 Apr 2023 15:07:14 +0530 Subject: Connectionists: Call For Paper IoT C&O - 2023 Message-ID: Dear All We are happy to inform that we are organizing The International workshop IOT C&O (Internet of Things Challenges and Opportunities) in conjunction with 18th International Conference on Future Networks and Communications to be held in Halifax, Canada (July 24-26, 2023). Please see the below details for more information. *Conference website* http://cs-conferences.acadiau.ca/fnc-23/#workshop_approved (IOT C&O) *Submission link* https://easychair.org/conferences/?conf=iotco2023 *Submission deadline* May 1, 2023 *Topics: iot network design and architecture internet of things (iot) applications iot technologies sec * The Internet of things is an emerging technology for the world and science believes that the Internet of Things will change the complete internet and its nuts and bolts. This Session will be based on a combination of various technologies used in IoT for communication as well as Network security. The government of India promotes the Digital India project, under which government wants to promote projects like smart cities, smart grids, smart agriculture, and smart transportation and so on. The basic theme for this session will be inviting an innovative idea from researchers, academicians and industries on the Internet of things. Aim of this special session will be providing a platform to various individuals or teams from various organizations to represent their work and idea towards digital India and IoT technology development. (IoT-C&0 2023) will be held in Halifax (July 24-26, 2023 ) in conjunction with the 18th International Conference on Future Networks and Communications . It will basically focus on recent advancements on internet of things and it?s implementations for society. Submission Guidelines All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: Authors are requested to submit their papers electronically using the online conference management system in PDF format before the deadline (As per the dates). List of Topics ? IoT Network Design and Architecture ? Internet of Things (IoT) Applications ? IoT Technologies ? Security and privacy in heterogeneous IoT. ? IoT smart Energy Committees Organizing committee ? Dr. Nishant Doshi ? Dr. Chintan Patel Publication IOTCO2023 proceedings will be published in Elsevier by Elsevier Computer Science Procedia Venue The conference will be held in Halifax, Canada Contact All questions about submissions should be emailed to : nishant.doshi at sot.pdpu.ac.in Dr Nishant Doshi Associate Professor Department of Computer Science and Engineering School of Technology Pandit Deendayal Energy University (PDEU) *#Preparing_Energy_Soldiers_for_Tomorrow* #NIRF-Ranking ? (Engg-106, Mgt-89) #NAAC-A++ Grade & CGPA of 3.52 /4.00 #GSIRF-5 Star Rating website ? www.pdpu.ac.in -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhallabhinav at gmail.com Mon Apr 10 06:51:08 2023 From: dhallabhinav at gmail.com (Abhinav Dhall) Date: Mon, 10 Apr 2023 16:21:08 +0530 Subject: Connectionists: ICVGIP 2023 - 14th Indian Conference on Computer Vision, Graphics, and Image Processing Message-ID: Fourteenth Indian Conference on Computer Vision, Graphics, and Image Processing, ICVGIP 2023 Dates - December 15-17, 2023 Location - Ropar, Punjab, India Website: https://www.iitrpr.ac.in/ICVGIP/ Call for Papers The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) is India?s premier conference in Computer Vision, Graphics, Image Processing and related fields. Starting in 1998, it was a biennial international conference till 2021, providing a forum for the presentation of technological advances and research findings in these areas. ICVGIP 2023, the 14th conference in this series, is being organized by Indian Institute of Technology Ropar in association with the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), an affiliate of the International Association for Pattern Recognition (IAPR). From 2022, ICVGIP was organized annually due to the huge growth in the community. ICVGIP is dedicated to fostering the community of computer vision, graphics and image processing researchers and enthusiasts in India and abroad. We strive to live up to this goal at every occurrence of this annual conference. We invite high-quality, original and unpublished papers in the broad areas of computer vision, graphics, and image processing including, but not limited to: ? Segmentation ? Texture, Shape, Color ? Restoration, Enhancement ? Visual Tracking ? Motion and Video Analysis ? Explainable Vision Systems ? Compressive Sensing ? 3D Reconstruction ? Object and Pattern Recognition ? Machine Learning for Vision and Graphics ? Medical Image Analysis ? Biometrics ? Virtual/Augmented Reality ? Human-Computer Interaction ? Vision for Robotics and Autonomous Vehicles ? Computational Imaging ? Sensors and Modelling ? Vision-Based Graphics ? Activity Recognition ? Shape from X ? Vision for Digital Heritage ? Shape Analysis ? Real-Time Graphics ? Animation and Rendering ? Scientific Visualization ? Document Image Analysis ? Remote Sensing ? Scene Understanding ? Statistical Methods & Optimization ? Vision+Language ? Vision and Graphics for Society ? Applications of Vision and Graphics All submissions will be handled electronically via the CMT submission portal. The review process will be double-blind. Please see the conference website for submission details. General Chairs Chetan Arora, IIT Delhi Abhinav Dhall, IIT Ropar and Monash University Sudeep Sarkar, University of South Florida Program Chairs Kaushik Mitra, IIT Madras Rahul Narain, IIT Delhi Ian Reid, University of Adelaide Organizing Chairs Subrahmanyam Murala, IIT Ropar Santosh Vipparthi, IIT Ropar Important Dates Paper Submission Deadline: 01 August 2023 Reviews released to Authors: 15 September 2023 Rebuttal Due: 21 September 2023 Paper Notification: 06 October 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Mon Apr 10 17:55:42 2023 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Mon, 10 Apr 2023 23:55:42 +0200 Subject: Connectionists: [CfP] Last Call - EGML-EC GECCO 2023 workshop on Enhancing Generative Machine Learning with Evolutionary Computation Message-ID: Dear Colleague(s), Below you can find the last call for papers for the 2nd Workshop on Enhancing Generative Machine Learning with Evolutionary Computation. Feel free to distribute, and thank you for your time. Best regards, Jo?o Correia ---------------------------------------------------------------------- CALL FOR PAPERS EGML-EC at GECCO-2023 2nd Workshop on Enhancing Generative Machine Learning with Evolutionary Computation https://sites.google.com/view/egml-ec-2023 Genetic and Evolutionary Computation Conference (GECCO'23) Lisbon, Portugal, July 15 to 19, 2023 Overview and Scope Generative Machine Learning has become a key field in machine learning and deep learning. In recent years, this field of research has proposed many deep generative models (DGMs) that range from a broad family of methods such as generative adversarial networks (GANs), variational autoencoders (VAEs), autoregressive (AR) models and stable diffusion models (SD). These models combine advanced deep neural networks with classical density estimation (either explicit or implicit) for mainly generating synthetic data samples. Although these methods have achieved state-of-the-art results in the generation of synthetic data of different types, such as images, speech, text, molecules, video, etc., Deep generative models are still difficult to train. There are still open problems, such as the vanishing gradient and mode collapse in DGMs, which limit their performance. Although there are strategies to minimize the effect of those problems, they remain fundamentally unsolved. In recent years, evolutionary computation (EC) and related bio-inspired techniques (e.g. particle swarm optimization) and in the form of Evolutionary Machine Learning approaches have been successfully applied to mitigate the problems that arise when training DGMs, leveraging the quality of the results to impressive levels. Among other approaches, these new solutions include GAN, VAE, AR, and SD training methods or fine tuning optimization based on evolutionary and coevolutionary algorithms, the combination of deep neuroevolution with training approaches, and the evolutionary exploration of latent space. This workshop aims to act as a medium for debate, exchange of knowledge and experience, and encourage collaboration for researchers focused on DGMs and the EC community. Bringing these two communities together will be essential for making significant advances in this research area. Thus, this workshop provides a critical forum for disseminating the experience on the topic of enhancing generative modelling with EC, presenting new and ongoing research in the field, and to attract new interest from our community. Topics of Interest Particular topics of interest are (not exclusively): ? Evolutionary and co-evolutionary algorithms to train deep generative models; ? EC-based optimization of hyper-parameters for deep generative models; ? Neuroevolution applied to train deep generative architectures ? Dynamic EC-based evolution of deep generative models training parameters ? Evolutionary latent space exploration ? Real-world applications of EC-based deep generative models solutions ? Multi-criteria adversarial training of deep generative models ? Evolutionary generative adversarial learning models ? Software libraries and frameworks for deep generative models applying EC All accepted papers of this workshop will be included in the Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'23) Companion Volume. Important dates Submission opening: February 13, 2023 Submission deadline: April 14, 2023 Acceptance notification: May 3, 2023 Camera-ready and registration: May 10, 2023 Workshop date: TBC depending on GECCO program schedule (July 15 or 19, 2023) There will be NO EXTENSIONS to any of the deadlines Instructions for Authors We invite submissions of two types of paper: ? Regular papers (limit 8 pages) ? Short papers (limit 4 pages) Papers should present original work that meets the high-quality standards of GECCO. Each paper will be rigorously evaluated in a review process. Accepted papers appear in the ACM digital library as part of the Companion Proceedings of GECCO. Each paper accepted needs to have at least one author registered by the author registration deadline. Papers must be submitted via the online submission system https://ssl.linklings.net/conferences/gecco/. Please refer to https://gecco-2023.sigevo.org/Paper-Submission-Instructions for more detailed instructions. As a published ACM author, you and your co-authors are subject to all ACM Publications Policies (https://www.acm.org/publications/policies/toc), including ACM's new Publications Policy on Research Involving Human Participants and Subjects ( https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects ). Workshop Chairs ? Jamal Toutouh, Univ. of M?laga (ES) - MIT (USA), jamal at lcc.uma.es ? Una-May O?Reilly, MIT (USA), unamay at csail.mit.edu ? Jo?o Correia, University of Coimbra (PT), jncor at dei.uc.pt ? Penousal Machado, University of Coimbra (PT), machado at dei.uc.pt ? Sergio Nesmachnow, Univ. de la Rep?blica (UY), sergion at fing.edu.uy More information at https://sites.google.com/view/egml-ec-2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From isclab.uu at gmail.com Tue Apr 11 08:22:34 2023 From: isclab.uu at gmail.com (ISCL UU) Date: Tue, 11 Apr 2023 14:22:34 +0200 Subject: Connectionists: PostDoc position in Statistical Sampling/Optimization/Machine Learning Message-ID: <0925687F-8BC3-4C13-9D01-10FBC74A901A@gmail.com> Dear all, Applications are invited for a postdoctoral position in our group at the Division of Scientific Computing, Department of Information Technology, Uppsala University, Sweden, in the area of statistical sampling/optimal design of experiments. The problem setting is close in spirit to active learning and sequential sampling, and involves the solution of optimization problems for formulating informative design of scientific experiments (our target domain is microbiome studies). Requirements: - Strong mathematical background - Interest/experience in non-convex optimization and/or active learning is a plus - Excellent academic record - Interest in interdisciplinary research - Good teamwork/collaboration skills Starting date: Negotiable Deadline: 02 May 2023 Application Details: https://www.uu.se/en/about-uu/join-us/details/?positionId=607267 Please contact prashant.singh -at- scilifelab.uu.se with questions. Best regards, Prashant Singh Assistant Professor Department of Information Technology Uppsala University, Sweden -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.gaebler at gmail.com Tue Apr 11 13:07:00 2023 From: michael.gaebler at gmail.com (Michael Gaebler) Date: Tue, 11 Apr 2023 19:07:00 +0200 Subject: Connectionists: Job offer: 3-year postdoc (E13, 100%), Mind-Body-Emotion Group, MPI for Human Cognitive & Brain Sciences (with offices in Berlin) In-Reply-To: References: Message-ID: Max Planck Institute for Human Cognitive and Brain Sciences Job offer: 3-year postdoc (E13, 100%) in Mind-Body-Emotion Group at MPI for Human Cognitive & Brain Sciences (with offices in Berlin) Are you passionate about exploring the complexities of human cognition? Do you thrive on challenging and engaging work that pushes the boundaries of what we know about the mind? If so, we have an exciting opportunity for you! The Mind-Body-Emotion Group at the* Max Planck Institute for Human Cognitive and Brain Sciences* (with offices in Berlin) is seeking a talented and driven *postdoctoral researcher* *(TV?D E13, 100%, 3 years).* As part of an international collaboration between experts in computer graphics and psychology, this position will focus on the evaluation and improvement of memory for faces using immersive virtual reality technology (details can be found here < https://gepris.dfg.de/gepris/projekt/502864329?context=projekt&task=showDetail&id=502864329& >). You will work alongside an enthusiastic team embedded in a world-leading research environment with outstanding facilities and research infrastructures in Berlin or Leipzig, Germany. The successful candidate will have substantial experience and a recognized track record in a relevant area, with an educational background in human-computer interaction/human factors, social or cognitive (neuro-)science, psychology, computer science, engineering, data science, physics, or mathematics. Strong programming and statistical skills (e.g., Python, R) are required, and experience with immersive VR (e.g., Unity), eye tracking, face processing, or behavioural modelling will be a plus. The post is funded by the German Research Foundation (DFG). We offer a competitive salary (TV?D E13, 100%; based on the regulations of the Max Planck Society). We encourage applications from all genders and backgrounds and are committed to increasing the number of individuals with disabilities in our workforce. If you are excited about the opportunity to make a real impact on our understanding of human cognitive abilities, come and work with us! Join our team of passionate researchers and explore the cutting-edge of cognitive science! We look forward to receiving your online application (reference number *"PD 2/23"*) at: https://www.cbs.mpg.de/vacancies/open-positions. The application should include a cover letter and personal statement, CV, list of publications (if available), and two letters of recommendation. Closing date for applications is *May 15, 2023*. Envisaged starting date is *September 1, 2023*, for the duration of three years. For questions, please contact Dr. Michael Gaebler . Link to the job ad and application portal: https://recruitingapp-5218.de.umantis.com/Vacancies/394/Description/2/Default -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.m.hedblom at gmail.com Tue Apr 11 14:09:55 2023 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Tue, 11 Apr 2023 20:09:55 +0200 Subject: Connectionists: final CfP: EPIA2023: Track - AI, Generation and Creativity, Sep 5-8, Faial Island, Portugal Message-ID: *(Apologies for potential cross-posting)* EPIA 2023 Faial Island, Portugal, September 5-8, 2023 CfP Thematic Track on AI, Generation and Creativity https://epia2023.inesctec.pt/?page_id=620 *Deadline extension until April 28* ************ The EPIA Conference on Artificial Intelligence (AI) is a well-established European conference in the field of AI, hosted by the Portuguese Association for Artificial Intelligence (APPIA) The 22nd edition of the EPIA conference will take place at Faial Island in the Azores Archipelago, from September 5th to September 8th, 2023. The purpose of the EPIA conference is to promote research in all areas of AI, covering both theoretical/foundational issues and applications, and the scientific exchange among researchers, engineers and practitioners in related disciplines. Together with the international Steering Committee, the Program Chairs have selected a number of different thematic tracks to be featured at the conference, covering a wide spectrum of AI topics. One of the accepted tracks is devoted to AI, Generation and Creativity. ************ The Thematic Track on AI, Generation and Creativity intends to address practical and theoretical works related to the use of AI for creative purposes. The intersection between generation and creativity is fertile ground, encompassing topics related to artificial creative systems, generative approaches, as well as human-computer co-creation. We welcome papers describing original research in the following topics (but not limited to): - Artificial creative systems in domains such as visual arts, architecture, design, sound art, music, poetry, narrative, games, and science - Creative and Generative AI - Computational models of creativity - Evaluation of artificial creative systems - Human-computer collaboration and co-creation - Social and ethical aspects of computational creativity. **** Submission and Presentation instructions **** All papers will be peer-reviewed. Accepted papers will be included in the conference proceedings (Springer LNCS) and will be presented at the conference. Please check EPIA 2023 website for more details on submission formats and requirements: https://epia2023.inesctec.pt/?page_id=449 **** Important Dates **** - Paper submission deadline April 28, 2023 - Notification of paper acceptance May 26, 2023 - Camera-ready papers deadline June 15, 2023 - Conference dates September 5-8, 2023 **** Organising Committee **** - Pedro Martins, University of Coimbra, Portugal - Jo?o Miguel Cunha, University of Coimbra, Portugal - Helena Sofia Pinto, IST ? University of Lisbon, Portugal - Mar?a Navarro, Univesidad de Salamanca, Spain - Juan Romero, University of A Coru?a, Spain - Maria Hedblom, J?nk?ping University, Sweden -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Tue Apr 11 10:32:32 2023 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Tue, 11 Apr 2023 16:32:32 +0200 Subject: Connectionists: 1st CFP MedProcNER track: Automatic detection of Medical procedures in text (at BioASQ/CLEF2023) In-Reply-To: References: Message-ID: 1st CFP MedProcNER track: Automatic detection of Medical procedures in text (BioASQ/CLEF2023) MedProcNER (Medical Procedure Named Entity Recognition & Linking) TRAINING SET + ANNOTATION GUIDELINES RELEASE https://temu.bsc.es/medprocner/ URLs: - Web: https://temu.bsc.es/medprocner/ - Corpus: https://doi.org/10.5281/zenodo.7817745 - Guidelines: https://doi.org/10.5281/zenodo.7817666 - Registration: https://temu.bsc.es/medprocner/registration/ Description: The recent use and exploitation of large language models (LLMs) and transformer-based technologies have resulted in considerable improvements in clinical NLP & health data processing systems, in particular for content in English, but also increasingly for other languages. Efficient semantic annotation strategies/named entity recognition of key clinical concepts, such as diseases, medications or adverse events are critical for medical text mining applications, including QA, information extraction, predictive modeling or even generative AI. Despite being at the core of clinical practice and healthcare, only limited attempts focussed on the automatic detection and normalization of medical procedures from texts. These were often restricted to very specialized types of procedures (e.g. medical imaging). Some efforts like the Merlot corpus included medical procedures, but were not exclusively focused on this key clinical concept type. Thus, there is a clear need to foster the development of concept recognition systems for medical procedures, being essential to characterize existing treatment options, diagnostic procedures of patients as well as analyzing key aspects of therapeutic or preventive techniques associated with patient care. Procedures are also relevant for clinical coding efforts of electronic health records. To promote the development, evaluation and use of clinical concept recognition systems of medical procedure from clinical texts we organize the MedProcNER task as part of the BioASQ/CLEF 2023 evaluation initiative. For this track a large Gold Standard corpus of clinical case texts in Spanish manually annotated through a collaborative effort between clinicians, clinical coding experts and linguists will be released. Additionally a multilingual Silver Standard version of the MedProcNER corpus in English and other languages including French, Italian or Portuguese will be published as well as cross-mappings to ICD-10 and MeSH codes. Aligned with different practical end user scenarios three subtasks will be posed: - Procedure-NER (Clinical Procedure Recognition Task 1) subtask: requires the automatic detection of all clinical procedures mentioned in clinical case documents (their start and end character positions). - Procedure-Norm (Clinical Procedure Normalization Task 2) subtask: requires the automatic detection of all clinical procedures mentioned in clinical case documents (their start and end character positions) together with their corresponding SNOMED CT concept code. - Procedure-Indexing (Clinical Procedure-based Document Indexing Task 3) subtask: similar to semantic indexing or clinical coding tasks, this subtask requires teams to automatically assign to each document their corresponding list of clinical procedure SNOMED CT codes. Schedule: - Train set release Procedure-NER: April 11th, 2023 - Train set release Procedure-Norm/Indexing & : April 21st, 2023 - Test set release (start of evaluation period): April 24th, 2023 - End of evaluation period (system submissions): May 15th, 2023 - Working papers submission: June 5th, 2023 - Notification of acceptance (peer-reviews): June 23rd, 2023 - Camera-ready system descriptions: July 7th, 2023 - BioASQ workshop at CLEF 2023: Thessaloniki, Greece, September 18th-21st, 2023 (https://clef2023.clef-initiative.eu) Publications & conference Following previous BioASQ/CLEF efforts, participating teams will be invited to contribute a short systems description paper for the CLEF 2023 proceedings, and to give a short presentation of their approach at the BioASQ workshop at the CLEF 2023 conference (18-21 September, Thessaloniki, Greece) Organizers: - Martin Krallinger, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Eul?lia Farr?, Barcelona Supercomputing Center, Spain - Luis Gasc?, Barcelona Supercomputing Center, Spain - Anastasios Nentidis, National Center for Scientific Research Demokritos, Greece - Anastasia Krithara, National Center for Scientific Research Demokritos, Greece -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.decampos at tue.nl Tue Apr 11 15:09:50 2023 From: c.decampos at tue.nl (De Campos, Cassio) Date: Tue, 11 Apr 2023 19:09:50 +0000 Subject: Connectionists: [jobs] PhD position in Knowledge Graph Management at TU/e Message-ID: <3243998B-16D9-471B-9BF4-155498C0E9A9@tue.nl> We are hiring for a fully-funded PhD position in the Data and Artificial Intelligence Cluster (https://dai.win.tue.nl) of the Faculty of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) with a focus on knowledge graph management. It is a full-time formal job and salaries are competitive. TU/e is an English-language university. If you or someone you know is interested in research into knowledge graph system engineering, in a vibrant, dynamic, collaborative, and very international team, please check out the following link: https://jobs.tue.nl/en/vacancy/phd-in-knowledge-graph-creation-management-and-analytics-990155.html best regards, cassio. -- Cassio de Campos c.decampos at tue.nl "It's not (only) about the result, it's about how we reached it.? (This email, its contents and attachments are private and confidential and only for use of its intended addressees, unless explicitly agreed among all involved.) From janet.hsiao at gmail.com Tue Apr 11 20:52:36 2023 From: janet.hsiao at gmail.com (Janet Hsiao) Date: Wed, 12 Apr 2023 08:52:36 +0800 Subject: Connectionists: Special Issue in British Journal of Psychology: The Use of Artificial Intelligence in Psychological Research Message-ID: British Journal of Psychology : Call for PapersThe Use of Artificial Intelligence in Psychological Research Submission deadline: Tuesday, 31 October 2023 The aim of this special issue is to highlight the latest advances in the use of artificial intelligence (AI) methods and technology in psychological research. Rapid progress in AI over the past few years has resulted in the use of powerful new methods and technologies to advance knowledge in the field of psychology. AI-based tools have been incorporated into psychological research in multiple ways, including through the development of computational and machine learning models of human perception, cognition, and behaviour; the use of virtual reality to study human perception and action in complex environments; and the application of data science to psychological data. More recently, highly intelligent systems, such as ChatGPT, have raised issues about the types of intelligence achievable by machines and the comparability of this intelligence to human cognition. In the wake of these advances, partnerships between humans and AI are being formed that raise important questions about the societal implications of AI from a psychological perspective. The role of AI in society and its psychological implications have never been more important than they are now. Thus, to showcase the latest advances, we aim to bring together researchers across different specialisms or sections of psychology to provide multidisciplinary perspectives on these important issues. We welcome articles and short reports of empirical studies, critical reviews of the literature and theoretical contributions that aim to advance our understanding of psychology through AI. The special issue will discuss the topics included but not limited to: - Computational modelling of psychological phenomena - Machine learning/data science approaches to psychological data analysis - Using AI/technology to study mind and behaviour - Human-AI interaction and explainable AI from psychological perspectives Editors: Janet Hsiao University of Hong Kong Alice O?Toole University of Texas at Dallas Elliot Ludvig University of Warwick Keywords: Artificial intelligence; computational modelling; machine learning; psychological data science; human-AI interaction; explainable AI Submission Guidelines/Instructions Please refer to the Author Guidelines to prepare your manuscript. When you submit your manuscript, please select The Use of Artificial Intelligence in Psychological Research in the special issue question so that the editors will be timely reminded. Submit now -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Apr 12 04:47:23 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 12 Apr 2023 11:47:23 +0300 Subject: Connectionists: AIDA Summer School: First European Summer School on Artificial Intelligence (ESSAI) Message-ID: <0f4201d96d1b$673aed80$35b0c880$@csd.auth.gr> CALL FOR PARTICIPATION 1st European Summer School on Artificial Intelligence - ESSAI 2023 24-28 July 2023 Faculty of Computer and Information Science, University of Ljubljana, Slovenia ******************** We are happy to announce that registration for the First European Summer School on Artificial Intelligence (ESSAI) is now open! ESSAI 2023 offers 24 one-week courses in different areas of artificial intelligence, offering a wide perspective and bridging across subdisciplines. The courses, organized in six parallel tracks, are at foundational, introductory, and advanced levels. ESSAI 2023 comprises the third TAILOR Summer School, and includes EurAI's Advanced Course on AI (ACAI 2023), consisting of 10 invited tutorials on the topic of AI for Science as an additional advanced track of ESSAI. The courses and tutorials, presented by top AI researchers from all over the world, are complemented with keynotes and social events. ESSAI 2023 will be an in-person one-week-long event in beautiful Ljubljana, a relaxed, green, and vibrant European capital. ESSAI 2023 is colocated with the 34th School in Logic, Language and Information ESSLLI 2023, happening one week later at the same location. Attendees of both schools benefit from reduced registration. Early registration is available until the 15th of May 2023; go to https://essai.si/registrations/ In order to receive Certificate of attendance as AIDA student, please enroll both in AIDA & ESSAI website. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Apr 12 07:35:46 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 12 Apr 2023 13:35:46 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS=3B_8th_Doctoral_Symposi?= =?utf-8?q?um_on_Recent_Advances_in_Information_Technology_=28DS-RAIT?= =?utf-8?b?4oCZMjMpOyA3MCBwdW5rdMOzdyBNRWlO?= In-Reply-To: <4e45cafd-7c90-3f6d-2cdd-70b61697957a@pti.org.pl> References: <4e45cafd-7c90-3f6d-2cdd-70b61697957a@pti.org.pl> Message-ID: CALL FOR PAPERS 8th Doctoral Symposium on Recent Advances in Information Technology (DS-RAIT?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/aaia/agriai Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* The 8th international Doctoral Symposium on Recent Advances in Information Technology (DS-RAIT'23) will be held as a satellite track of the Conference on Computer Science and Information Systems (FedCSIS 2023). The aim of this meeting is to provide a platform for exchange of ideas between early-stage researchers, in Computer Science and Information Systems, PhD students in particular. Furthermore, the symposium will provide all participants an opportunity to get feedback on their studies from experienced members of the IT research community invited to chair all DS-RAIT thematic sessions. Therefore, submission of research proposals with limited preliminary results is strongly encouraged. Besides receiving specific advice for their contributions all participants will be invited to attend plenary lectures on conducting high-quality research studies, excellence in scientific writing and issues related to intellectual property in IT research. Authors of the two most outstanding submissions will have a possibility to present their papers in a form of short plenary lecture. Topics DS-RAIT'23 invites the submission of papers on all aspects of Information Technology including, but not limited to: + Automatic Control and Robotics + Bioinformatics + Cloud, GPU and Parallel Computing + Cognitive Science + Computer Networks + Computational Intelligence + Cryptography + Data Mining and Data Visualization + Database Management Systems + Expert Systems + Image Processing and Computer Animation + Information Theory + Machine Learning + Natural Language Processing + Numerical Analysis + Operating Systems + Pattern Recognition + Scientific Computing + Software Engineering Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 6 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. - Selected extended papers, after additional review, will be published in special issues of journals, e.g. Journal of Automation, Mobile Robotics and Intelligent Systems. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 + Conference date: September 17-20, 2023 DS-RAIT Committee: https://fedcsis.org/sessions/ds-rait/committee From sahar.moghimi at u-picardie.fr Wed Apr 12 08:23:00 2023 From: sahar.moghimi at u-picardie.fr (Sahar Moghimi) Date: Wed, 12 Apr 2023 14:23:00 +0200 Subject: Connectionists: A post-doc position on the development of rhythm perception before the age of term and the impact of NICU musical interventions Message-ID: <20230412142300.Horde.F97o6UaVDJfwzw23FLmXRix@webmail.u-picardie.fr> We are looking for a 3-year post-doc researcher at Groupe de Recherches sur l?Analyse Multimodale de la Fonction C?r?brale in Amiens, France, funded by the French National Research Agency and the Fondation pour l?Audition. The deadline for applications is May 31st, 2023. Applications will be evaluated as they come in, and the positions will be open until filled. About the project: We aim to evaluate the development of rhythm perception starting from the third trimester of gestation into infancy, and the impact of early musical interventions in the NICU on preterm infants? development. In this cross-sectional and longitudinal study, we will evaluate the development of auditory rhythm processing capacities with EEG, and behavioral protocols. About the consortium: the project consortium is led by Sahar Moghimi (Universit? de Picardie,Amiens, France), involves three other academic partners, Barbara Tillmann (Universit? de Bourgogne, Dijon, France), Laurel Trainor (McMaster University, Hamilton, Canada), and Florence Lev? (Universit? de Picardie,Amiens, France), and post-doc researchers and PhD students with complementary expertise in early neurodevelopment, cognitive neurosciences of music, neural data processing, and music analysis. The aim is to put together a cross-disciplinary team that together covers protocol design and implementation, EEG signal processing, behavioral studies, video analysis, statistics, and machine learning. GRAMFC (Inserm U1105) is an international leader in neonatal care and specifically in pediatric/neonatal Clinical Neurophysiology, HR EEG and HD NIRS (and soon fetal MEG) engineering in premature neonates. Inserm U1105 is a multidisciplinary group and has brought together a team of neuropsychologists, intensive-care pediatricians, obstetricians, pediatric neurologists, and specialists in signal processing. The lab has developed new tools for signal acquisition and analysis of the cerebral function in children, neonates, and preterm infants. The UMR 1105 also has a unique position because of support from the university and from the hospital Pediatric Nervous System Functional Investigations unit. Qualifications: The post-doc/PhD will be fully dedicated to extracting the EEG correlates of rhythm processing in the course of development, aiming to extract the neural response to different rhythmic characteristics, and to evaluate the impact of musical interventions on neurodevelopment. Required: PhD in neuroscience, biomedical engineering, computer science, or related fields, strong background in neural signal processing, advanced skills with scripting languages, such as Matlab or Python, research experience in EEG signal processing/modeling, high verbal and written communication skills Preferable: knowledge in the field of neurosciences of music and/or auditory perception, French fluency How to apply: All applications should include a CV, a cover letter specifying research interests and motivation, and contact details for two referees. Applications should be sent to Sahar Moghimi, sahar.moghimi at u-picardie.fr. From ludovico.montalcini at gmail.com Wed Apr 12 12:42:47 2023 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Wed, 12 Apr 2023 18:42:47 +0200 Subject: Connectionists: CfP ACAIN 2023 - 3rd Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-26, 2023, The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK In-Reply-To: <20230412142300.Horde.F97o6UaVDJfwzw23FLmXRix@webmail.u-picardie.fr> References: <20230412142300.Horde.F97o6UaVDJfwzw23FLmXRix@webmail.u-picardie.fr> Message-ID: ________________________________________________________________________ Call for Participation & Call for Papers (apologies for multiple copies) ________________________________________________________________________ The 3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience September 22-26, 2023 The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK W: https://acain2023.icas.cc E: acain at icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Early Registration (Symposium & Course): by April 26 https://acain2023.icas.cc/registration/ PAPER SUBMISSION DEADLINE (Symposium): by April 26 https://acain2023.icas.cc/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2023 SCOPE & MOTIVATION: ACAIN 2023: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2023 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 3rd Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium at the The Wordsworth Hotel & SPA in Grasmere ? Lake District, England - UK 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 colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 25-26), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-24). 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, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium ? ACAIN 2023, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2023 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) 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://acain2023.icas.cc/course-description/ LECTURERS: https://acain2023.icas.cc/course-lecturers/ Aldo Faisal, Imperial College London Karl Friston, University College London Kenneth Harris, University College London Rosalyn Moran, King's College London Edmund Rolls, University of Oxford Michael Wooldridge, University of Oxford More Speakers to be announced soon! SYMPOSIUM CALL FOR PAPERS: https://acain2023.icas.cc/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2023.icas.cc/program-committee/ Submission site: https://easychair.org/conferences/?conf=acain2023 DEADLINES: https://acain2023.icas.cc/deadlines/ Call for Papers - Symposium Deadlines: Paper Submission (Symposium): by Wednesday April 26, 2023 (AoE). Notification of Decision for Papers (Symposium): by Wednesday May 31, 2023. Camera Ready Submission (Symposium): by June 15, 2023. Early Registration (Symposium): by Thursday June 15, 2023. Late Registration (Symposium): from Friday June 16, 2023. Call for Participation - Advanced Course Deadlines: Early Registration (Course): by 26 April, 2023. Late Registration (Course): from 27 April, 2023. Oral Presentation Submission (Course): by 26 April, 2023. Notification of Decision for Oral Presentation (Course): by 27 May, 2023. ORGANIZING COMMITTEE: https://acain2023.icas.cc/symposium-committee/ VENUE & ACCOMMODATION: https://acain2023.icas.cc/venue/ The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK P: +44-1539-435592 E: reception at thewordsworthhotel.co.uk W: www.thewordsworthhotel.co.uk Each delegate must to book the accommodation at the venue and pay the amount for accommodation, meals directly to The Wordsworth Hotel & SPA enquiry at thewordsworthhotel.co.uk The reservations must be made by contacting the reception team at The Wordsworth Hotel & SPA enquiry at thewordsworthhotel.co.uk indicating in the reservation that it is a booking for LOD 2023 Conference. ACCOMMODATION: https://acain2023.icas.cc/accommodation/ ACTIVITIES: https://acain2023.icas.cc/activities/ WALKS: https://acain2023.icas.cc/walks/ REGISTRATION: https://acain2023.icas.cc/registration/ See you in Lake District in September! ACAIN 2023 Organizing Committee. E: acain at icas.cc W: https://acain2023.icas.cc/ FB: https://www.facebook.com/ACAIN.LakeDistrict -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From valle at ime.unicamp.br Wed Apr 12 16:13:06 2023 From: valle at ime.unicamp.br (Marcos Eduardo Valle (IMECC-Unicamp)) Date: Wed, 12 Apr 2023 17:13:06 -0300 Subject: Connectionists: [CFP] Special Session - Hypercomplex-valued Neural Networks for Signal Processing (MLSP 2023) Message-ID: Special Session on Hypercomplex-valued Neural Networks for Signal Processing 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023) September 17th ? 20th 2023 ? Fontana di Trevi Conference Centre, Rome, Italy https://2023.ieeemlsp.org/ Aims and Scope: Hypercomplex-valued neural networks (HVNNs) constitute a growing research field that has attracted continued interest for the last decade. Complex and quaternion-valued neural networks are examples of hypercomplex-valued models, which also include tessarine and Clifford-valued neural networks. Complex-valued neural networks are essential for adequately treating angle and the information contained in phase, including the treatment of wave- and rotation-related phenomena such as electromagnetism, light waves, quantum waves, and oscillatory phenomena. Quaternion-valued neural networks, which have potential applications in three- and four-dimensional data modeling, have been effectively used to process and analyze multivariate images such as color and polarimetric SAR images. More generally, besides their natural ability to treat multidimensional data, hypercomplex-valued neural networks can benefit from the geometric and algebraic properties of hypercomplex algebras. Despite significant theoretical development and successful applications, there are still many research directions in HVNNs, including a formal generalization of the commonly used real-valued network architectures and training algorithms to the hypercomplex-valued case. As powerful machine learning techniques, there are also many exciting applications of HVNNs for signal processing, including pattern recognition, nonlinear filtering, and prediction. This special session welcomes papers that are or might be related to all aspects of hypercomplex-valued neural networks, including complex-valued and quaternion-valued neural networks. Papers on theoretical advances and contributions of applied nature are all appreciated. We also welcome interdisciplinary contributions from other areas on the borders of the proposed scope. This special session aims to be an excellent forum for exchanging ideas on HVNNs for signal processing. We hope the proposed session will attract potential speakers and researchers interested in the interface between the theory and applications of HVNNs. We also expect this session to benefit and inspire researchers and practitioners that need sophisticated machine-learning tools for signal-processing applications. Organizers: Marcos Eduardo Valle, Universidade Estadual de Campinas (Unicamp), Brazil. Guilherme Vieira, Universidade Estadual de Campinas (Unicamp), Brazil. Akira Hirose, University of Tokyo, Japan. Danilo Mandic, Imperial College, London, UK. Igor AizenbergIgor Aizenberg, Manhattan College, USA. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Wed Apr 12 14:04:07 2023 From: mtanveer at iiti.ac.in (M Tanveer) Date: Wed, 12 Apr 2023 23:34:07 +0530 Subject: Connectionists: IEEE TFS SI - Advances in fuzzy deep learning algorithms for biomedical data Message-ID: Special Issue: Advances in fuzzy deep learning algorithms for biomedical data Aim and Scope: Deep learning is one of the most important revolutions in the field of artificial intelligence over the last decade. Approaches under this family of models have achieved great success in different tasks such as computer vision, image processing, biomedical analysis and related fields. Researchers in deep and shallow machine learning including those working in computer vision, image processing, biomedical analysis and other fields comprising multi-dimensional data. Fuzzy set theory is a branch of artificial intelligence capable of analysing complex biomedical data, which has been one of the state of the art methodologies, leading to the enhanced performance in various medical applications to prevent, diagnose, and treat diseases. Compared to the traditional data analytics and decision support techniques, fuzzy sets and their extensions are effective white-box tools for representing and explaining the complexity and vagueness of the information, especially to reduce uncertainty. However, the relatively low learning efficiency and performance also hinder their applications in the medical domain. Therefore, in the last few years, integrating deep learning and fuzzy systems has been an emerging and promising topic with applications in healthcare. When tied with experienced clinicians, researchers in fuzzy deep learning can play a significant role in understanding and working on complex medical data, which ultimately leads to improved patient care. Developing novel fuzzy deep learning algorithms suited to deal with medical data still remains a challenge. Healthcare and biomedical sciences have become data-intensive fields, with a strong need for sophisticated data mining methods to extract knowledge from the available information. Biomedical data pose several challenges in data analysis, including high dimensionality, class imbalance and scarcity of annotated data featuring enough quality for modelling purposes. Although current research in this field has shown promising results, several research issues need to be explored, including novel feature selection methods to improve predictive performance along with interpretation, and to explore large scale data in biomedical sciences. This special issue aims to bring together the current research progress (from both academia and industry) on fuzzy deep learning algorithms to address the challenges of biomedical complex data. Special attention will be devoted to novel contributions related to feature selection, class imbalance, data fusion, explainability and biomedical use cases comprising real-world data. This special issue aims at providing an opportunity for collecting some advanced work in the fuzzy deep learning, including compilation of the latest research, development, and practical experiences as well as up-to-date issues, reviewing accomplishments, assessing future directions and challenges in this field. It will bring both researchers from academia and practitioners from industry to discuss the latest progress, new research topics, and potential application domains. Topics: The topics relevant to the special issue include (but are not limited to): - Fuzzy deep learning for computer aided detection and diagnosis - Fuzzy deep learning for neuroimaging - Fuzzy deep learning for radiographic data - Fuzzy deep learning for biomedical image classification and ROI localization - Fuzzy deep learning for genomics - Explainable fuzzy deep learning for prediction of healthcare variations - Fuzzy deep learning for multimodality neuroimaging data fusion systems - Fusion of fuzzy deep learning and big data for future challenges - Explainability of fuzzy deep learning in all its forms (counterfactuals, local explanations, relevance attribution, etc) - Advanced fuzzy deep learning techniques for the risk prediction of COVID-19 Submission guidelines: All authors should read ?Information for Authors? before submitting a manuscript http://cis.ieee.org/ieeetransactions-on-fuzzy-systems.html Submissions should be through the IEEE TFS journal website http://mc.manuscriptcentral.com/tfs-ieee. It is essential that your manuscript is identified as a Special Issue contribution. Ensure you choose ?Special Issue? when submitting. A cover letter must be included which includes the title ?Advances in fuzzy deep learning algorithms for biomedical data?. Important Dates: Submission Deadline: December 01, 2023 Notification of the first round review: February 2024 Revised submission due: May 2024 Final notification: August 2024 Guest Editors: M. Tanveer, Indian Institute of Technology Indore, India (Lead) Email: mtanveer at iiti.ac.in, Homepage: http://people.iiti.ac.in/~mtanveer/ Google Scholar Citations: 3640 with h-index 31 Chin-Teng Lin, University of Technology Sydney, Australia Email: Chin-Teng.Lin at uts.edu.au, Homepage: https://www.uts.edu.au/staff/chin-teng.lin Google Scholar Citations: 33000 with h-index 87 Yu-Dong Zhang, University of Leicester, UK Email: yudongzhang at ieee.org Homepage: https://le.ac.uk/people/yudong-zhang Google Scholar Citations: 25000 with h-index 87 ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022, IEEE CIS SS 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: 14.25). Action Editor: Neural Networks, Elsevier (IF: 9.65). Associate Editor: Pattern Recognition, Elsevier (IF: 8.52). Editorial Board: Applied Soft Computing, Elsevier (IF: 8.26). Board of Editors: Engineering Applications of AI, Elsevier (IF: 7.80). Associate Editor: Neurocomputing, Elsevier (IF: 5.78). Associate Editor: Cognitive Computation, Springer (IF: 4.89). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.37). -------------- next part -------------- An HTML attachment was scrubbed... URL: From susan.fischer at tue.mpg.de Thu Apr 13 06:15:04 2023 From: susan.fischer at tue.mpg.de (Susan Fischer) Date: Thu, 13 Apr 2023 12:15:04 +0200 Subject: Connectionists: Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany Message-ID: <8951605B-E1B2-44B8-95D6-AC3837206C4B@tue.mpg.de> **Apologies for cross-posting** Dear colleagues, We are looking to hire several new postdocs in the "Developmental Computational Psychiatry" lab and the newly established W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of T?bingen (Germany). The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with clinical psychiatry / psychotherapy background https://lmy.de/yEAwXNlt * Postdoc with computational modelling background https://lmy.de/IKvkBxgL * Postdocs with experimental & neuroimaging (MEG / MRI) background https://lmy.de/JRWXJVfI More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ?Computational Psychiatry?, Prof Tobias Hauser Max Planck Institute for Biological Cybernetics & Eberhard Karls Universit?t T?bingen & Universit?tsklinik f?r Psychiatrie und Psychotherapie AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 T?bingen Germany susan.fischer at tue.mpg.de ************************************************ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dftschool at ini.rub.de Thu Apr 13 12:26:47 2023 From: dftschool at ini.rub.de (DFT Summer School) Date: Thu, 13 Apr 2023 18:26:47 +0200 Subject: Connectionists: Neural Dynamics for Embodied Cognition Summer School 2023 Bochum, Germany Message-ID: Please forward this advertisement to whoever you think might be interested. Selection of participants will begin by May 22, 2023. Thanks, Raul Grieben, Minseok Kang and Stephan Sehring - - - DFT Summer School 2023 Bochum, Germany This year our summer school "Neural Dynamics for Embodied Cognition" will take place from the 21st to the 26th of August, 2023 at the Institute for Neural Computation, Ruhr-University Bochum in Germany, coordinated by Prof. Dr. Gregor Sch?ner. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and practical introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. The school combines tutorial lectures with hands-on project work. Participants will develop their own modeling project, which may connect to their ongoing doctoral or postdoctoral research. To apply for the summer school, please visit our webpage: https://dynamicfieldtheory.org/events/neuronal_dynamics_for_embodied_cognition_2023/ From nsmattei at gmail.com Thu Apr 13 14:18:18 2023 From: nsmattei at gmail.com (Nicholas Mattei) Date: Thu, 13 Apr 2023 13:18:18 -0500 Subject: Connectionists: Call for Nominations: The 2023 ACM SIGAI Industry Award for Excellence in Artificial Intelligence Message-ID: [Sorry for cross posting, please forward to any that may be interested] Call for Nominations: The 2023 ACM SIGAI Industry Award for Excellence in Artificial Intelligence The ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI) will be given annually to individuals or teams who have transferred original academic research into AI applications in recent years in ways that demonstrate the power of AI techniques via a combination of the following features: originality of the research novelty and technical excellence of the approach; importance of AI techniques to the approach; and actual or predicted societal impact of the application. Awardees receive a plaque accompanied by a prize of $5,000, and will be recognized at the International Joint Conference on Artificial Intelligence through an agreement with the IJCAI Board of Trustees. After decades of progress in the theory, research and development of AI, AI applications are increasingly moving into the commercial sector. A great deal of pioneering application-level work is being done by those transferring research results into industry?from startups to large corporations?and this is influencing commerce and the broad public in a wide variety of ways. This award complements the numerous academic, best-paper and related awards, in that it focuses on innovators of fielded AI applications. It is intended especially to recognize those who are not only active in the academic community, but also playing key roles in AI commercialization. The award honors these innovators and highlights their achievements (and thus the benefit of AI techniques) to computing professionals and the public at large. The award committee will consider applications that are open-source or proprietary and that may or may not involve hardware. Evaluation Criteria: The criteria include the following, but there is no fixed weighting of them: * Novelty of application area * Novelty and technical excellence of the approach * Importance of AI techniques for the approach * Actual and predicted societal benefits of the fielded application Eligibility Criteria: Any individual or team, worldwide, is eligible for the award. ****************** Nomination Procedure: ****************** One nomination and three endorsements must be submitted. The nomination must identify the individual or team members, describe their fielded AI system, and explain how it addresses the award criteria. The nomination document itself should not be longer than 4000 words (10 pages) including all tables, references, and figures. The nomination may include additional links, however, these links will not be reviewed but may be examined by the committee. The nomination must be written by a member of ACM SIGAI. Two of the endorsements must be from members of ACM or ACM SIGAI. Endorsements are intended to be brief statements of support (typically 1-2 paragraphs and should not exceed 1000 words) that provide additional perspective on the nomination itself. If you are not a member of ACM SIGAI, please join here: https://sigai.acm.org/main/ Please submit the nomination and endorsements through our Google form: https://forms.gle/ASnhR1b18vmtXhoAA For any questions please contact Craig Boutilier (Award Chair, cboutilier at google.com) or Nicholas Mattei (SIGAI Vice Chair, nsmattei at gmail.com). ****************** Timeline: ****************** Nominations Due: May 31, 2023 Award Announcement: June 30, 2023 Award Presentation: Aug 19th - 25th at IJCAI 2023, https://ijcai-23.org/ -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 303C +1 504 865 5782 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Thu Apr 13 12:27:18 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Thu, 13 Apr 2023 18:27:18 +0200 Subject: Connectionists: ACDL 2023, 6th Advanced Course on Data Science & Machine Learning |June 10-14| Riva del Sole Resort & SPA - Italy Early Registration: by April 23 Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested * ACDL2023, An Interdisciplinary Course: From Deep Learning to Foundation Models Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2023.icas.cc acdl at icas.cc EARLY REGISTRATION: by April 23 https://acdl2023.icas.cc/registration/ Oral Presentation Submission Deadline: by April 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2023.icas.cc/lecturers/ Luca Beyer, Google Brain, Z?rich, Switzerland Lecture 1: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 1/2" Lecture 2: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 2/2" Lecture 3: "Transformers 1/2" Lecture 4: "Transformers 2/2" Aakanksha Chowdhery, Google Brain, USA Lectures: TBA Thomas Kipf, Google Brain, USA Lecture 1: "Graph Neural Networks 1/2" Lecture 2: "Graph Neural Networks 2/2" Lecture 3: "Structured Representation Learning for Perception 1/2" Lecture 4: "Structured Representation Learning for Perception 2/2" Pushmeet Kohli, DeepMind, London, UK Lectures: TBA Yi Ma, University of California, Berkeley, USA Lectures: Principled Approaches to learn low-dimensional structures via Deep Networks Gerhard Paass, Fraunhofer Institute -IAIS, Germany Lecture 1: "Introduction to Foundation Models" Lecture 2: "Foundation Models for Retrieval Applications" Lecture 3: "Combining Foundation Models with External Text Resources" Lecture 4: "Approaches to Increase Trustworthiness of Foundation Models2 Panos Pardalos, University of Florida, USA Lectures: TBA Qing Qu, University of Michigan, USA Lectures: TBA Alex Smola, Amazon, USA (TBC) Zoltan Szabo, LSE, London, UK Lecture 1: "Shape-Constrained Kernel Machines and Their Applications" Lecture 2: "Beyond Mean Embedding: The Power of Cumulants in RKHSs" Michal Valko, DeepMind Paris & Inria France & ENS MVA Lecture 1: "Reinforcement learning" Lecture 2: "Deep Reinforcement Learning" Lecture 3: "Learning by Bootstrapping: Representation Learning" Lecture 4: "Learning by Bootstrapping: World Models" TUTORIAL SPEAKERS: Each Tutorial Speaker will hold more than four lessons on one or more research topics. Rapha?l Berthier, EPFL, Switzerland Lecture 1: "Implicit Regularization in Neural Networks" Lecture 2: "Incremental Learning in Diagonal Linear Networks" Lecture 3: "Approaches to Study Dynamics of Neural Networks" Lecture 4: "The Fast-Slow Regime of Neural Networks" Bruno Loureiro, ?cole Normale Sup?rieure, France Lectures 1-10: "Wonders of high-dimensions: the maths and physics of Machine Learning" Varun Ojha, Newcastle University, UK Lecture 1: "Characterization of Deep Neural Networks" Lecture 2: "Backpropagation Neural Tree" Lecture 3: "Sensitivity Analysis of Deep Learning and Optimization Algorithms" https://acdl2023.icas.cc/lecturers/ PAST LECTURERS: https://acdl2023.icas.cc/past-lecturers/ ACDL 2023 VENUE: Riva del Sole Resort & SPA Localit? Riva del Sole ? Castiglione della Pescaia (Grosseto) CAP 58043 ? Tuscany ? Italy p: +39-0564-928111 f: +39-0564-935607 e: events at rivadelsole.it w: www.rivadelsole.it https://acdl2023.icas.cc/venue/ PAST EDITIONS: https://acdl2023.icas.cc/past-editions/ REGISTRATION: https://acdl2023.icas.cc/registration/ CERTIFICATE & 8 ECTS: PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. Anyone interested in participating in ACDL 2023 should register as soon as possible. Similarly for accommodation at the Riva del Sole Resort & SPA (the Course Venue), book your full board accommodation at the Riva del Sole Resort & SPA as soon as possible. All course participants must stay at the Riva del Sole Resort & SPA. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2023 Directors. *6th Advanced Course on Data Science & Machine Learning - ACDL2023* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by April 23 (AoE)* W: https://acdl2023.icas.cc/ E: acdl at icas.cc FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *9th International Conference on machine Learning, Optimization & Data science ? LOD 2023 *September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission Deadline: May 10* lod at icas.cc https://lod2023.icas.cc/ *ACAIN 2023, the* *3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience*, September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK *Paper Submission (Symposium): by April 26 (AoE)* *Early Registration (Course): by April 26* W: https://acain2023.icas.cc/ E: acain at icas.cc FB: https://www.facebook.com/ACAIN-Int-Advanced-Course-Symposium-on-AI-Neuroscience-100503321621692/ The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Thu Apr 13 23:14:07 2023 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Thu, 13 Apr 2023 20:14:07 -0700 Subject: Connectionists: CARLsim Spiking Neural Network Simulator Feedback Requested Message-ID: <5C0CE007-9C20-447F-982C-317935FE20AD@uci.edu> Dear Connectioninsts, CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating spiking neural network (SNN) models with a high degree of biological detail. Originating in 2009, CARLsim is now on its 6th major release. CARLsim supports CPU and GPU simulations ranging from small networks to networks with hundreds of thousands of neurons with millions of synaptic connections. It is supported on Linux, MacOS, and Windows. The software framework is open-source and freely available. More information can be found at: https://sites.socsci.uci.edu/~jkrichma/CARLsim/ This survey is intended for anyone who has used the CARLsim spiking neural network simulator, or who might like to use CARLsim in the future. It will help the CARLsim team develop future versions on the software framework. We appreciate your input and feedback. Please use this link to take our survey. https://forms.gle/GyVsuuey4mDB3bsB7 Thank you, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From angelo.cangelosi at manchester.ac.uk Fri Apr 14 08:47:46 2023 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Fri, 14 Apr 2023 12:47:46 +0000 Subject: Connectionists: Two 3-year Postdocs in Robotics and AI, Univeristy of Manchester, UK Message-ID: Two 3-year Postdocs in Robotics and AI Manchester Centre for Robotics and AI Univeristy of Manchester, UK Two 3-year Postdoctoral Research Associates in Robotics and Artificial Intelligence (AI) are required to work on the UKRI/EPSRC project ?Trustworthy Autonomous Systems Node on Trust?. The posts will also be part of other grants, such as the US THRIVE++ project on trust, and of the Horizon Project MUSAE on robots and art.?? The candidates will carry out research on robot cognitive architectures and/or on human-robot interaction experiments, using a combination of machine learning and human-robot interaction methodologies. A PhD (or equivalent) in Computer Science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, as well as robotics and/or machine learning skills. The research associates will be working collaboratively as part of the Cognitive Robotics Lab and the Manchester Centre for Robotics and AI, at the University of Manchester under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required. As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. Enquiries about the vacancy, shortlisting and interviews: Prof Angelo Cangelosi, angelo.cangelosi at manchester.ac.uk Salary: ?35,308 to ?43,155 per annum, depending on relevant experience Duration: 3 years Closing date: 15/05/2023 Apply online: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=25189 Angelo Cangelosi Professor of Machine Learning and Robotics Co-Director, Manchester Centre for Robotics and AI University of Manchester angelo.cangelosi at manchester.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Fri Apr 14 12:25:53 2023 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Fri, 14 Apr 2023 12:25:53 -0400 Subject: Connectionists: 2023 NEURON Summer Course Message-ID: The 2023 NEURON Summer Course will be held at the Dayton campus of Wright State University from Sunday, June 11, through Friday, June 16. The course will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. The registration deadline is Friday, June 2, 2023. No applications will be accepted after that date, and there will be no on-site registration. Space is limited, and applications will be considered in the order received. For more information and the on-line application form, see The 2023 NEURON Summer Course --Ted -------------- next part -------------- An HTML attachment was scrubbed... URL: From sara.magliacane at gmail.com Sat Apr 15 03:05:04 2023 From: sara.magliacane at gmail.com (Sara Magliacane) Date: Sat, 15 Apr 2023 09:05:04 +0200 Subject: Connectionists: [jobs] 1 PhD position at the University of Amsterdam in Causality-inspired ML for Robust Fraud Detection Message-ID: Are you interested in a PhD position applying ideas from causality to improve the robustness of fraud detection for transaction payments? At the University of Amsterdam, we have just opened 1 PhD position in *causality-inspired ML for robust fraud detection*. Payment platforms like Adyen use technology to efficiently detect fraud. Fraud detection is challenging, since both the genuine and fraudulent customer behavior changes over time and across markets. Machine learning is crucial for this task, but current methods are susceptible to learning spurious correlations. The goal of this project is to leverage causality-inspired machine learning methods to improve the robustness of fraud detection methods to distribution shifts. This position will be supervised by dr. Sara Magliacane (Amsterdam Machine Learning Lab , Informatics Institute) and dr. Ana Mi?kovi? (Amsterdam Business School), and in partnership with Adyen . This project is part of a bigger *AI4Fintech* call with 7 PhD positions with a unified application submission. In the submission please indicate your interest for *project 4: Robust fraud detection through causality-inspired ML.* You can apply through this website: https://vacatures.uva.nl/UvA/job/Seven-PhD-positions-in-AI-for-Fintech/768660802/ *Deadline*: 21 May 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mturner at flatironinstitute.org Fri Apr 14 15:46:46 2023 From: mturner at flatironinstitute.org (Matthew Turner) Date: Fri, 14 Apr 2023 15:46:46 -0400 Subject: Connectionists: Open Flatiron Research Fellow(Postdoc) Position at Center for Computational Neuroscience Message-ID: Flatiron Research Fellow, Neural Circuits and Algorithms, Center for Computational Neuroscience The Center for Computational Neuroscience (CCN) invites applications for Flatiron Research Fellowships (FRFs - our designation for Postdoctoral Fellows) in the Connectomics project of CCN?s neural circuits and algorithms (NCA) group. The goal of the CCN NCA group is to understand how the brain analyzes large and complex datasets streamed by sensory organs in order to aid efforts at building artificial neural systems and treating mental illness. The Connectomics project of the NCA group, specifically, is focused on reconstruction the brain wiring diagram of the microscopic wasp utilizing automated high-throughput reconstruction software, results that are then verified by a team of research analysts who proofread and annotate the software?s work; using this method, the Connectomics project has assembled the largest connectome to date based on synapse count. While the current open position is in the neural circuits and algorithms group only, CCN scientists are encouraged to collaborate across research groups and the wider Flatiron Institute. Interested candidates should review the CCN public website for specific information. Visit the Flatiron Institute career page to learn more. POSITION SUMMARY The Flatiron Research Fellow (Connectomics) will perform automated dense neuron segmentation, synapse detection, and organelle detection using machine learning. The Flatiron Research Fellow will also supervise the manual annotations completed by the Connectomics research analyst team, and will contribute to related algorithm and software development for the project. The Flatiron Research Fellow will have a primary mentor in the CCN NCA Group, though affiliations and collaborations with other research groups within CCN and throughout the Flatiron Institute are encouraged. In addition to carrying out their own research, Flatiron Research Fellows are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. Flatiron Research Fellows also have the opportunity to organize workshops and to mentor graduate and undergraduate students. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRFs receive a research budget and have access to the Flatiron Institute?s powerful scientific computing resources. FRF may be eligible for subsidized housing within walking distance of the CCN. This position will be based, and have a principal office or workspace, at the foundation?s offices in New York City. Review of applications will begin immediately and will remain ongoing until the position is filled. MINIMUM QUALIFICATIONS EDUCATION - PhD in computer science or a relevant technical field such as machine learning, statistics, biomedical engineering, applied math, electrical engineering, or physics. RELATED SKILLS - Strong interest in the scientific study of the brain; - Ability to work independently, as well as in a collaborative environment. - Ability to execute and communicate original scientific research; - Strong programming skills using Python and C++; - Experience with Deep Learning; - Experience with image processing; - Good understanding of Data Structures and Algorithms; - Experience with Point Cloud processing preferred. SELECTION CRITERIA Applicants must have a PhD in a related field or expect to receive their PhD before the start of the appointment. Applications will be evaluated based on 1) past research accomplishments 2) proposed research program 3) synergy of applicant?s expertise and research proposal topic with existing CCN staff and research programs. REQUIRED APPLICATION MATERIALS - Curriculum Vitae with bibliography; - Research statement of no more than three pages describing past work and proposed research program. Applicants are encouraged to discuss the broad impact of the past and proposed research on computational neuroscience. - Three (3) letters of recommendation submitted confidentially by direct email to ccnjobs at simonsfoundation.org COMPENSATION AND BENEFITS - The full-time annual compensation for this position is $90,000. - In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package. THE SIMONS FOUNDATION'S DIVERSITY COMMITMENT Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status or any other protected category under federal, state and local law. Interested applicants may apply directly online here , and are welcome to reach out to me, the CCN administrative manager ( mturner at flatironinstitute.org) with any questions. Cordially, Matthew Matthew B. Turner Manager for Center Administration | Center for Computational Neuroscience Pronouns: any *FLATIRON INSTITUTE* 160 Fifth Avenue Suite 408 New York, NY 10010 917.363.1095 *mobile* *simonsfoundation.org/flatiron/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From vonluehmann at tu-berlin.de Sat Apr 15 10:30:50 2023 From: vonluehmann at tu-berlin.de (=?iso-8859-1?Q?von_L=FChmann=2C_Alexander=2C_Dr=2E?=) Date: Sat, 15 Apr 2023 14:30:50 +0000 Subject: Connectionists: Neuroscience in the Everyday World Conference Aug 29-30, 2023, Boston, USA Message-ID: <50134a904073488bb709800a50c51058@tu-berlin.de> Hi all, David Boas (Director Neurophotonics Center, Boston University), Swathi Kiran (Director Aphasia Research Lab, Boston University) and I are organizing a small conference in Boston end of August, that I would like to briefly promote. Our invited speakers are almost all confirmed, and the schedule is being finalized. Since time flies, here are a few details for everyone who might be interested in mobile brain imaging and its opportunities and challenges, to mark it in your calendar already: Neuroscience in the Everyday World Conference 2023 August 29th - 30th, 2023 Boston, USA https://openfnirs.org/trainings-conferences/2023_new/ At the first Neuroscience of the Everyday World conference, we propose to bring together leaders in the fields of computer science, biomedical engineering, cognitive science, neurology, and clinical neuroscience to present state-of-the-art research, all focused on the study of continuous brain measurement in real-world activities. The presentations will all focus on innovative methodologies (e.g., fNIRS, EEG, BCI+real time feedback), different real-world contexts (e.g., measurements at home, in the clinic/hospital), and a range of healthy and disease states (e.g., dementia, stroke). The conference will be 1,5 days with 2 keynotes, 3 symposia and a poster session. Abstract submission is mid July (details follow). __________________________ Dr.-Ing. Alexander von L?hmann Head of Independent Research Group Intelligent Biomedical Sensing (IBS) [cid:image001.png at 01D96FB2.0E91D380] BIFOLD-ML | Machine Learning Department Technische Universit?t Berlin Fakult?t IV - EECS MAR 4-1 / Raum 4.045 Marchstr. 23, 10587 Berlin Telefon: +49 (0)30 314-77079 www.ibs-lab.com www.bifold.berlin www.ml.tu-berlin.de __________________________ Our Research Topic on frontiers is open for submissions until July 25th 2023. If you have suitable work, please consider submitting! [cid:image002.png at 01D96FB2.0E91D380] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 19094 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 71628 bytes Desc: image002.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: NEWConference_Poster.png Type: image/png Size: 696736 bytes Desc: NEWConference_Poster.png URL: From david at irdta.eu Sat Apr 15 03:33:38 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 15 Apr 2023 09:33:38 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Summer: early registration May 1st Message-ID: <3523233.195516.1681544019073@webmail.strato.com> ************************************************************************ 10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://deeplearn.irdta.eu/2023su/ ************************************************************************ Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ************************************************************************ Early registration: May 1st, 2023 ************************************************************************ FRAMEWORK: DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested. SCOPE: DeepLearn 2023 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, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth and Bari. 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, geographic information systems, signal processing, genomics, 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 19 four-hour and a half courses and 2 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 employment 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 2023 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 2023 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/ STRUCTURE: 2 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. Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids Aidong Zhang (University of Virginia), Concept-Based Explainable Deep Learning Models PROFESSORS AND COURSES: Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science Nat?lia Cordeiro (University of Porto), [introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design Daniel Cremers (Technical University of Munich), [intermediate] Deep Networks for 3D Computer Vision Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits Georgios Giannakis (University of Minnesota), [intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing Tae-Kyun Kim (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Deep 3D Pose Estimation Marcus Liwicki (Lule? University of Technology), [intermediate/advanced] Methods for Learning with Few Data Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration Ivan Oseledets (Skolkovo Institute of Science and Technology), [introductory/intermediate] Tensor Methods for Approximation of High-Dimensional Arrays and Their Applications in Machine Learning Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild Kaushik Roy (Purdue University), [introductory/advanced] Neuromorphic Computing Bj?rn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures Jiliang Tang (Michigan State University), [introductory/advanced] Deep Learning on Graphs: Methods, Advances and Applications Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems Li Xiong (Emory University), [introductory] Deep Learning and Privacy Enhancing Technology Lihi Zelnik-Manor (Technion - Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises 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 9, 2023. 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 9, 2023. 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 July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) 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://deeplearn.irdta.eu/2023su/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 as well as eventually courses in BigDat 2023 Summer. 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 are available at https://deeplearn.irdta.eu/2023su/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 - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sat Apr 15 18:05:24 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 16 Apr 2023 00:05:24 +0200 Subject: Connectionists: =?utf-8?q?_CALL_FOR_PAPERS=2C16th_International_W?= =?utf-8?q?orkshop_on_Computational_Optimization_=28WCO=E2=80=9923=29=3B_d?= =?utf-8?q?eadline_May_23=3B_Web_of_Science?= In-Reply-To: <0b803a2b-70ec-4268-ce2f-df185cef4aaf@ibspan.waw.pl> References: <0b803a2b-70ec-4268-ce2f-df185cef4aaf@ibspan.waw.pl> Message-ID: CALL FOR PAPERS 16th International Workshop on Computational Optimization (WCO?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/aaia/wco Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* Many real world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. These problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions and constraints which ask for adequate computational methods. The aim of this workshop is to stimulate the communication between researchers working on different fields of optimization and practitioners who need reliable and efficient computational optimization methods. We invite original contributions related to both theoretical and practical aspects of optimization methods. Topics The list of topics includes, but is not limited to: + combinatorial and continuous global optimization + unconstrained and constrained optimization + multiobjective and robust optimization + optimization in dynamic and/or noisy environments + optimization on graphs + large-scale optimization, in parallel and distributed computational environments + meta-heuristics for optimization, nature-inspired approaches and any other derivative-free methods + exact/heuristic hybrid methods, involving natural computing techniques and other global and local optimization methods + numerical and heuristic methods for modeling The applications of interest are included in the list below, but are not limited to: + classical operational research problems (knapsack, traveling salesman, etc) + computational biology and distance geometry + data mining and knowledge discovery + human motion simulations; crowd simulations + industrial applications + optimization in statistics, econometrics, finance, physics, chemistry, biology, medicine, and engineering + environment modeling and optimization Best Paper Award The best WCO'23 paper will be awarded during the social dinner of FedCSIS 2023. The best paper will be selected by WCO'23 co-Chairs by taking into consideration the scores suggested by the reviewers, as well as the quality of the given oral presentation. Best Paper Award ? past winners https://fedcsis.org/sessions/aaia/wco/awards Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 + Conference date: September 17-20, 2023 WCO Committee:https://fedcsis.org/sessions/aaia/wco/committee From marcin at amu.edu.pl Mon Apr 17 05:18:36 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Mon, 17 Apr 2023 11:18:36 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS_=28May_23=29=2C_7th_Wor?= =?utf-8?q?kshop_on_Internet_of_Things_=E2=80=93_Enablers=2C_Challenges_an?= =?utf-8?q?d_Applications_=28IoT-ECAW=E2=80=9923=29=3B_Web_of_Science=3B_I?= =?utf-8?q?EEE=3A_=2357573?= In-Reply-To: <30b166d3-e9a7-66ee-39bd-fac28a3ec5ed@pti.org.pl> References: <30b166d3-e9a7-66ee-39bd-fac28a3ec5ed@pti.org.pl> Message-ID: CALL FOR PAPERS 7th Workshop on Internet of Things ? Enablers, Challenges and Applications (IoT-ECAW?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/aaia/wco Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; organized within framework of the ASSIST-IoT project; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* The Internet of Things is a technology which is rapidly emerging around the world. IoT applications include: smart city initiatives, wearable devices aimed to real-time health monitoring, smart homes and buildings, smart vehicles, environment monitoring, intelligent border protection, logistics support. The Internet of Things is a paradigm that assumes a pervasive presence in the environment of many smart things, including sensors, actuators, embedded systems and other similar devices. Widespread connectivity, getting cheaper smart devices and a great demand for data, testify to that the IoT will continue to grow by leaps and bounds. The business models of various industries are being redesigned on basis of the IoT paradigm. But the successful deployment of the IoT is conditioned by the progress in solving many problems. These issues are as the follows: * The integration of heterogeneous sensors and systems with different technologies taking account environmental constraints, and data confidentiality levels; * Big challenges on information management for the applications of IoT in different fields (trustworthiness, provenance, privacy); * Security challenges related to co-existence and interconnection of many IoT networks; * Challenges related to reliability and dependability, especially when the IoT becomes the mission critical component; * Zero-configuration or other convenient approaches to simplify the deployment and configuration of IoT and self-healing of IoT networks; * Knowledge discovery, especially semantic and syntactical discovering of the information from data provided by IoT. The IoT technical session is seeking original, high quality research papers related to such topics. The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of IoT. The focus areas will be, but not limited to, the challenges on networking and information management, security and ensuring privacy, logistics, situation awareness, and medical care. Topics The IoT session is seeking original, high quality research papers related to following topics: - Future communication technologies (Future Internet; Wireless Sensor Networks; Web-services, 5G, 4G, LTE, LTE-Advanced; WLAN, WPAN; Small cell Networks?) for IoT, - Intelligent Internet Communication, - IoT Standards, - Networking Technologies for IoT, - Protocols and Algorithms for IoT, - Self-Organization and Self-Healing of IoT Networks, - Object Naming, Security and Privacy in the IoT Environment, - Security Issues of IoT, - Integration of Heterogeneous Networks, Sensors and Systems, - Context Modeling, Reasoning and Context-aware Computing, - Fault-Tolerant Networking for Content Dissemination, - IoT Architecture Design, Interoperability and Technologies, - Data or Power Management for IoT, - Fog - Cloud Interactions and Enabling Protocols, - Reliability and Dependability of mission critical IoT, - Unmanned-Aerial-Vehicles (UAV) Platforms, Swarms and Networking, - Data Analytics for IoT, - Artificial Intelligence and IoT, - Applications of IoT (Healthcare, Military, Logistics, Supply Chains, Agriculture, ...), - E-commerce and IoT. The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of IoT. Focus areas will be, but not limited to above mentioned topics. Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 + Conference date: September 17-20, 2023 IoT_ECAW Committee: https://fedcsis.org/sessions/nsa/iot-ecaw/committee IoT_ECAW is organized within the framework of the ASSIST-IoT project: https://assist-iot.eu From crpalmec7 at alumnes.ub.edu Mon Apr 17 05:36:53 2023 From: crpalmec7 at alumnes.ub.edu (=?Windows-1252?Q?CRISTINA_PALMERO_CANTARI=D1O?=) Date: Mon, 17 Apr 2023 09:36:53 +0000 Subject: Connectionists: 2nd Call for Participation - REACT 2023 Challenge: Multiple Appropriate Facial Reaction Generation in Dyadic Interactions (REACT2023) Message-ID: [apologies for multiple copies] 2nd CALL FOR PARTICIPATION: REACT 2023 Challenge: Multiple Appropriate Facial Reaction Generation in Dyadic Interactions (REACT2023) The first ?Multiple Appropriate Facial Reaction Generation in Dyadic Interactions? challenge (REACT2023) to be held in conjunction with the ACM Multimedia (ACM-MM) 2023 in Ottawa, Canada, is calling for contributions in the form of papers and competition in the challenge. The competition will be using the NoXI, RECOLA, and UDIVA datasets which contain audio-video clip data of participants engaged in dyadic interactions. The challenge consists of two main tasks: * Task 1 - Offline Appropriate Facial Reaction Generation * Task 2 - Online Appropriate Facial Reaction Generation Participants are invited to participate in one or both sub-challenges. For more information about the challenge, check our website https://sites.google.com/cam.ac.uk/react2023/home. To register and access the challenge data, please fill the registration form you will find on the website and feel free to contact us by email: reactmultimodalchallenge at gmail.com. For each task, training and validation data will be made available to participants. At the end of the competition, participants will be required to submit their trained models (in the form of working code) via the CodaLab platform. All submissions will be evaluated on a held-out test dataset to ensure a fair comparison. Participants will also be encouraged to submit a conference-style paper describing their proposed approach for tackling the challenge task(s) as well as the results obtained. Challenge timeline is as follows: * Registration opening: April 3, 2023 * Training and development sets available: April 10, 2023 * Baseline paper available: May 22, 2023 * Test sets available: June 12, 2023 * Final results submission: June 30, 2023 * Paper submission deadline: July 14, 2023 * Notification of acceptance: July 21, 2023 * Camera ready paper: August 6, 2023 * Workshop: October 29, 2023 (TBD) The Organisers Dr Micol Spitale*, University of Cambridge, Cambridge, United Kingdom, Dr Siyang Song*, University of Leicester & University of Cambridge, United Kingdom Cristina Palmero, Universitat de Barcelona, Barcelona, Spain Prof Sergio Escalera, Universitat de Barcelona, Barcelona, Spain Prof Michel Valstar, University of Nottingham, Nottingham, United Kingdom Dr Tobias Baur, University of Augsburg, Augsburg, Germany Dr Fabien Ringeval, Universit? Grenoble Alpes, Grenoble, France Prof Elisabeth Andr?, University of Augsburg, Augsburg, Germany Prof Hatice Gunes, University of Cambridge, Cambridge, United Kingdom Contact us via email: reactmultimodalchallenge at gmail.com 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 gyyang.neuro at gmail.com Mon Apr 17 09:29:08 2023 From: gyyang.neuro at gmail.com (Robert Guangyu Yang) Date: Mon, 17 Apr 2023 09:29:08 -0400 Subject: Connectionists: Computational and Cognitive Neuroscience Summer School 2023 in Suzhou, China Message-ID: The 2023 Computational and Cognitive Neuroscience Summer School (CCNSS) will be held in Suzhou, China from July 1 to 22. *Application deadline is in two weeks, at April 30*. All students, tutors, and faculty-in-residence will be in person. Lectures will have a hybrid format Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. This year's faculty include: *Dora Angelaki*, New York University *Robert Desimone*, Massachusetts Institute of Technology *Evelina Fedorenko*, Massachusetts Institute of Technology *Christopher Honey*, Johns Hopkins University *Chengcheng Huang*, University of Pittsburgh *Angela Langdon*, National Institute of Mental Health *Songting Li*, Shanghai Jiao Tong University *Yunzhe Liu*, Beijing Normal University *Yuanyuan Mi*, Chongqing University *Ida Momennejad*, Microsoft Research *Srdjan Ostojic*, ?cole normale sup?rieure *Carsen Stringer*, Janelia Farm Research Campus *Xiao-Jing Wang*, New York University *Guangyu Robert Yang*, Massachusetts Institute of Technology For more information, see ccnss.org Best, Guangyu Robert Yang -------------- next part -------------- An HTML attachment was scrubbed... URL: From XIQUAN_CUI at homedepot.com Mon Apr 17 09:33:45 2023 From: XIQUAN_CUI at homedepot.com (Cui, Xiquan) Date: Mon, 17 Apr 2023 13:33:45 +0000 Subject: Connectionists: CFP: 3rd workshop of Online and Adaptive Recommender Systems (OARS)at KDD 2023 Message-ID: KDD 2023 Workshop on Online and Adaptive Recommender Systems (OARS) Call For Papers ================== KDD OARS is a half day workshop taking place on August 7th, 2023 in conjunction with KDD 2023 in Long Beach, CA, USA. Workshop website: https://oars-workshop.github.io/ Important Dates: ================== - Submissions Due - May 23rd, 2023 - Notification - June 23rd, 2023 - Camera Ready Version of Papers Due - July 10th, 2023 - KDD OARS Workshop - August 7th, 2023 Details: ================== The KDD workshop on online and adaptive recommender (OARS) will serve as a platform for publication and discussion of OARS. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to implement OARS algorithms and systems, and improve user experiences by better modeling and responding to users? intent. We invite submission of papers and posters of two to ten pages (including references), representing original research, preliminary research results, proposals for new work, and position and opinion papers. All submitted papers and posters will be single-blind and will be peer reviewed by an international program committee of researchers of high repute. Accepted submissions will be presented at the workshop. Topics of interest include, but are not limited to: ==================================== * Novel algorithms and paradigms (deep learning, reinforcement learning, online learning etc.) * Use cases (product, content, fashion/decor, job, healthy lifestyle, interactive/conversational recommendations, etc.) * User modeling and representations (real-time user intent/style/taste modeling, combine with long term interest, incorporation of knowledge graph) * Architecture and infrastructure (novel and scalable deep learning architectures, steaming and event-driven processing, etc.) * Evaluations and explanations (evaluation, comparison, explanation of OARS for a recommendation task, off-policy and counterfactual evaluation, etc.) * Social and user impact (UX, welfare, and objectives of OARS, privacy and ethics considerations, etc.) Submission Instructions: ================== All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. All submissions must be formatted according to the ACM Conference Proceeding templates (two column format). Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person. Submissions to KDD OARS workshop should be made at https://easychair.org/my/conference?conf=oarskdd2023 ORGANIZERS: ================== Xiquan Cui The Home Depot, USA Vachik Dave Walmart Labs, USA Yi Su UC Berkeley, USA Julian McAuley UCSD, USA Khalifeh Al-Jadda Google Inc, USA Srijan Kumar Georgia Institute of Technology, USA Tao Ye Amazon, USA Stephen Guo Indeed, USA Contact: Please direct all your queries to xiquan_cui at homedepot.com for help. Xiquan Cui Senior Manager of Online Data Science xiquan_cui at homedepot.com Office: (770)433-8211 x80588 The Home Depot 320 Interstate North Pkwy SE, Atlanta, GA 30339 INTERNAL USE Xiquan Cui Senior Manager of Online Data Science xiquan_cui at homedepot.com Office: (770)433-8211 x80588 The Home Depot 320 Interstate North Pkwy SE, Atlanta, GA 30339 ________________________________ The information in this Internet Email is confidential and may be legally privileged. It is intended solely for the addressee. Access to this Email by anyone else is unauthorized. If you are not the intended recipient, any disclosure, copying, distribution or any action taken or omitted to be taken in reliance on it, is prohibited and may be unlawful. When addressed to our clients any opinions or advice contained in this Email are subject to the terms and conditions expressed in any applicable governing The Home Depot terms of business or client engagement letter. The Home Depot disclaims all responsibility and liability for the accuracy and content of this attachment and for any damages or losses arising from any inaccuracies, errors, viruses, e.g., worms, trojan horses, etc., or other items of a destructive nature, which may be contained in this attachment and shall not be liable for direct, indirect, consequential or special damages in connection with this e-mail message or its attachment. INTERNAL USE -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentin.richard at loria.fr Tue Apr 18 04:20:46 2023 From: valentin.richard at loria.fr (valentin.richard at loria.fr) Date: Tue, 18 Apr 2023 10:20:46 +0200 Subject: Connectionists: Call For Papers - InqBnB4 Message-ID: <166398$32o4u3@mail2-relais-roc.national.inria.fr> [DEADLINE EXTENSION: 27 April 2023 AoE] **Any work on the semantics of questions is welcome** Greetings, InqBnB4 workshop: Inquisitiveness Below and Beyond the Sentence Boundary Nancy (France), 20 June 2023, hosted by IWCS 2023 https://iwcs2023.loria.fr/inqbnb4-inquisitiveness-below-and-beyond-the-sentence-boundary/ InqBnB is a workshop series bringing together researchers interested in the semantics and pragmatics of interrogatives (questions or embedded interrogatives). After three successful editions in the Netherlands, the 4th edition is planned on 20 June 2023, just before IWCS 2023 (Internation Conference on Computational Semantics). As invited speakers we are welcoming Wataru Uegaki (University of Edinburgh) and Todor Koev (Universit??t Konstanz). InqBnB4 invites submissions on original and unpublished research focusing on the properties of inquisitive content. We are open to several approaches: theoretical questions, formal models, empirical work, statistical or neural models. Here are some examples of questions of interest: * Which operators (connectives, quantifiers, modals, conditionals) generate inquisitiveness? * How do these operators project the inquisitive content of their arguments? * e.g. what triggers maximality, exhaustivity or uniqueness of readings? * How does inquisitive content interact with informative content in compositional semantics? * e.g. how do interrogative words interact with negative polarity items, free choice items, indefinites or plurality? * How do conventions of use interact with inquisitive content? * e.g. how can non-answering responses (e.g. clarification questions) be handled? * In which ways is pragmatics sensitive to inquisitive content? * e.g. how does answer bias and ignorance inferences arise? * What kind of discourse anaphora are licensed by inquisitive expressions? * e.g. does dynamic inquisitive semantics manage to correctly derive donkey anaphora? *Submission:* Submission link on SoftConf: https://softconf.com/iwcs2023/inqbnb4/ Sumitted papers must not exceed eight (8) pages (not counting acknowledgement, references and appendices). Accepted papers get an extra page in the camera-ready version. Submitted papers should be formatted following the common two-column structure as used by ACL. Please use the specific style-files or the Overleaf template for IWCS 2023, taken from ACL 2021. Initial submissions should be fully anonymous to ensure double-blind reviewing. The proceedings will be published in the ACL anthology. *Important dates:* * New Submission deadline: 26 April * Author notification: 12 May * Camera ready: 9 June * Workshop day: 20 June *Organizers:* * Valentin D. Richard [1], Loria, Universit?? de Lorraine * Philippe de Groote [2], Loria, INRIA Nancy ??? Grand Est * Floris Roelofsen [3], ILLC, Universiteit van Amsterdam *Programme committee:* * Local chair: Valentin D. Richard, Universit?? de Lorraine * Chair: Floris Roelofsen, Universiteit van Amsterdam * Maria Aloni [11], Universiteit van Amsterdam * Lucas Champollion [4], New York University (NYU) * Jonathan Ginzburg [5], Universit?? Paris Cit?? * Philippe de Groote [2], INRIA Nancy ??? Grand Est * Todor Koev [12], Universit??t Konstanz * Jakub Dotla??il [6], Universiteit Utrecht * Reinhard Muskens [7], Universiteit van Amsterdam * Maribel Romero [8], Universit??t Konstanz * Wataru Uegaki [9], University of Edinburgh * Yimei Xiang [10], Rutgers Linguistics [1] https://valentin-d-richard.fr/ [2] https://members.loria.fr/PdeGroote/ [3] https://www.florisroelofsen.com/ [4] https://champollion.com/ [5] http://www.llf.cnrs.fr/fr/Gens/Ginzburg [6] http://www.jakubdotlacil.com/ [7] http://freevariable.nl/ [8] https://ling.sprachwiss.uni-konstanz.de/pages/home/romero/ [9] https://www.wataruuegaki.com/ [10] https://yimeixiang.wordpress.com/ [11] https://www.marialoni.org/ [12] https://todorkoev.weebly.com/ From georgeangelos60 at gmail.com Tue Apr 18 06:21:55 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Tue, 18 Apr 2023 13:21:55 +0300 Subject: Connectionists: 19th IEEE eScience Conference (eScience 2023): Second Call for Tutorial Proposals Message-ID: *** Second Call for Tutorial Proposals *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ The 19th IEEE eScience Conference will be held in Limassol, Cyprus on October 9-13, 2023. eScience 2023 welcomes proposals for tutorials to be held with the main conference October 9-10 2023. The eScience 2023 Tutorial Program is intended to teach new and/or state-of-the art tools and techniques relevant to the eScience audience, disseminate information to conference attendees on recently emerging topics and trends, or provide surveys and overviews of related digital technologies. We encourage all submissions that fall in the area of the conference, and particularly those that have a practical (hands-on) component that helps attendees learn new technologies in eScience. We also encourage submissions that disseminate new technologies in eScience to a more diverse audience. TUTORIAL SUBMISSION GUIDELINES Tutorial proposals should be submitted per email as a single pdf file; the file should include (1) a cover sheet and (2) an extended abstract. Submission email: tutorials at escience-conference.org . REQUIREMENTS FOR THE COVER SHEET The cover sheet should include the following elements: ? Full title ? Abstract (300 words) ? Brief schedule - please plan for a half-day tutorial (approx 3 hours plus breaks) ? Intended audience (introductory, intermediate, advanced) ? Prerequisite knowledge or skills required for attendees ? Previous offerings of the tutorial, if any ? Detailed contact information of all presenters (and indication of the main contact person) ? Brief biography (max. 2 paragraphs) for each presenter, highlighting relevant teaching experience REQUIREMENTS FOR THE EXTENDED ABSTRACT The extended abstract (up to 2 pages) should include the following sections: ? Motivation ? Brief outline of the topics to be covered ? Detailed agenda of the tutorial ? Links to related resources ? Type of support materials to be supplied to attendees ? Requirements for online conference system KEY DATES ? Tutorial Submissions Due: Friday, May 26, 2023 (AoE) ? Tutorial Acceptance: Friday, June 30, 2023 ? Tutorials at the Conference: October 9-10, 2023 CONTACT INFORMATION Tutorial Chairs (tutorials at escience-conference.org) ? Silvina Caino-Lores, University of Tennessee, Knoxville, TN, USA ? Philipp Gschwandtner, University of Innsbruck, Austria ORGANISATION General Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs ? Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA ? Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From davy.weissenbacher at gmail.com Tue Apr 18 18:42:50 2023 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Tue, 18 Apr 2023 15:42:50 -0700 Subject: Connectionists: Normalization of Genetic Phenotypes from Dysmorphology Physical Examinations @ BioCreative VIII - track 3 - Call for Participation Message-ID: *Motivation:* Dysmorphology physical examinations catalog minor morphological differences of patients? bodies and may also identify general medical signs such as neurologic dysfunction. These findings enable correlations of patients with known rare genetic diseases and allow researchers to delineate undescribed genetic conditions. These medical findings are nearly always captured as unstructured free text within the electronic health record, making them unavailable for downstream computational analysis. Advanced natural language processing methods are therefore required to retrieve the information from the records. *Task:* We call for automated systems to extract and normalize the findings of dysmorphology physical examinations. The dataset consists of 3136 de-identified observations with dysmorphic findings manually annotated and normalized with their corresponding Human Phenotype Ontology (HPO) terms. *Challenge:* Both extraction and normalization are challenging. The extraction is challenging due to the descriptive style of the examinations which, for conciseness, report findings with disjoint and overlapping mentions. The normalization is challenging due to the large scale of the HPO ontology which requires a normalizer to learn the task without supervision since our training set does not provide examples of all terms in the HPO. See https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-3/ for details., in short: - 3136 de-identified observations with dysmorphic and normal findings manually annotated and normalized with their corresponding Human Phenotype Ontology terms - Baseline systems available (e.g. doc2HPO , NeuralCR , PhenoTagger , PhenoBERT , and txt2HPO ) - Codalab opened at https://codalab.lisn.upsaclay.fr/competitions/11351 - Evaluation period: Sept. 15, 9:00 UTC - Sept. 18, 23:59 UTC [Apologies for cross-posting] Best regards, Davy -------------- next part -------------- An HTML attachment was scrubbed... URL: From P.Turrini at warwick.ac.uk Wed Apr 19 02:29:57 2023 From: P.Turrini at warwick.ac.uk (Turrini, Paolo) Date: Wed, 19 Apr 2023 06:29:57 +0000 Subject: Connectionists: Multiple Assistant and Associate Prof positions in Foundations of AI at University of Warwick Message-ID: Dear all, We have multiple open positions at both Assistant and Associate Professor levels in Foundations of AI at the University of Warwick, UK. This is an exciting opportunity to join one of the UK?s most successful Computer Science departments and to be part of an exciting time of growth in the Department. We are looking for candidates especially in the following areas within the Foundations of AI theme: ? Statistical learning & deep learning theory. ? Robust & probabilistic ML. ? Generative AI. ? Causal AI. ? Reinforcement learning and bandit theory. ? Federated learning & multi-agent systems. ? Foundations of responsible AI & explainable AI. Please don?t hesitate to contact me for more details (e.g., starting grant package, salary, other departmental supports etc). Application deadline: 15th May 2023. Interviews expected to be in June 2023. More details and application form can be found here: https://warwick.ac.uk/fac/sci/dcs/jobs/ For queries, please contact Long.Tran-Thanh at warwick.ac.uk Best wishes, Paolo -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Spencer at uea.ac.uk Wed Apr 19 08:01:58 2023 From: J.Spencer at uea.ac.uk (John Spencer (PSY - Staff)) Date: Wed, 19 Apr 2023 12:01:58 +0000 Subject: Connectionists: Dynamic Friday Tutorial on May 5th... Message-ID: <12E62A89-753A-4B3A-B387-ABDB7E16512D@uea.ac.uk> Greetings, The next Dynamic Friday Tutorial on May 5th will discuss the following paper: Buss, A.T., Magnotta, V., Penny, W., Sch?ner, G., Huppert, T. & Spencer, J.P. (2021). How do neural processes give rise to cognition? Simultaneously predicting brain and behavior with a dynamic model of visual working memory. Psychological Review, http://dx.doi.org/10.1037/rev0000264 Details are on-line: https://dynamicfieldtheory.org/events/dynamic_friday_tutorials_dft/ You can register on our website if interested. Cheers, John Spencer John P. Spencer, PhD Professor Developmental Dynamics Lab https://www.facebook.com/DDPSYUEA https://ddlabs.uea.ac.uk School of Psychology, Room 0.09 Lawrence Stenhouse Building, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ United Kingdom Telephone 01603 593968 [/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage002.jpg at 01D48BB4.171FA130][/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage004.jpg at 01D48BB4.171FA130] UK 14th for Research Quality in Psychology, Psychiatry, and Neuroscience (Times Higher Education rankings for the Research Excellence Framework 2021) World Top 200 (Times Higher Education World University Rankings 2022) UK Top 30 (The Times/Sunday Times 2022 and Complete University Guide 2022) UK Top 20 for research quality (Times Higher Education Rankings for the Research Excellence Framework 2021) World Top 50 for research citations (Times Higher Education World University Rankings 2022) World Top 50 (Times Higher Education Impact Rankings 2022) Athena SWAN Silver Award Holder (since 2019) in recognition of advancement towards gender equality for all (Advance HE) Any personal data exchanged as part of this email conversation will be processed by the University in accordance with current UK data protection law and in line with the relevant UEA Privacy Notice. This email is confidential and may be privileged. If you are not the intended recipient please accept my apologies; please do not disclose, copy or distribute information in this email or take any action in reliance on its contents: to do so is strictly prohibited and may be unlawful. Please inform me that this message has gone astray before deleting it. Thank you for your co-operation. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 202 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 5595 bytes Desc: image002.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 2468 bytes Desc: image003.jpg URL: From hocine.cherifi at gmail.com Wed Apr 19 07:12:05 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 19 Apr 2023 13:12:05 +0200 Subject: Connectionists: Doctoral Student and Young Researcher Awards @ FRCCS 2023 Message-ID: *DOCTORAL STUDENT AWARD* *@ **FRCCS 2023* *Submission deadline: April 24, 2023* The Doctoral Student Award is part of CSS FRANCE's global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists in presenting your research in simple terms in a five minutes video to a lay audience. Your presentation should be clear, concise, and convincing. *Eligibility* - Eligible candidates must: - Be under 30. - Be enrolled in a Ph.D. program in whatever discipline Complex Systems covers. - Commit to presenting their work at FRCCS if awarded - Accept and authorize the use and distribution of videos and photos related to the competition, including on social networks - Have informed their thesis supervisor of their participation in the competition - Present a sufficiently advanced state of the doctoral research project *Application Instruction* The application package must contain the following: - A CV of the candidate (maximum two pages) - A summary (maximum two pages) presenting the research work, its context, main contribution, and scientific impact. - A 5 minutes video presentation. *Application Process* Applications are made via a google form on the online portal. *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* All applicants will be informed about the outcome in early May. The award will be recognized and presented at the upcoming FRCCS Annual Meeting. The award will also cover one FRCCS registration to facilitate attendance at the meeting to receive their award and contribution towards travel costs. For more information contact: hocine.cherifi at gmail.com *Subject: YOUNG RESARCHER AWARD @ FRCCS 2023:* *YOUNG RESARCHER AWARD* *@ **FRCCS 2023* *Submission deadline: April 24, 2023* The Young Researcher Award is part of CSS FRANCE's global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers up to *five years* after the Ph.D. completion (date of Ph.D. defense) and the deadline of the call for nomination. *Eligibility* - Applications for this award are welcomed by academia, business, and government scientists. - Eligible candidates should not be older than 35 years. - There should be no more than five years between the date of the Ph.D. defense and the deadline of the call for nomination. - Self-nominations are accepted and encouraged. - Any young researcher can be nominated in whatever discipline Complex Systems covers. - Candidates must commit to presenting their work at FRCCS if awarded. *Application Instruction* *For self-nomination* The application package must contain: - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A long-term research project (maximum two pages) *For supporter nomination* - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A statement from the candidate (maximum two pages) reflects their understanding of how the original scientific research moved science forward. *Application Process* Applications are made via a google form: Fill out the self-nomination form or the Supporter nomination form *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* All applicants or the nominators will be informed about the outcome in early May. The award will be recognized and presented at the upcoming FRCCS Annual Meeting. The award will also cover one FRCCS registration to facilitate attendance at the meeting to receive their award and contribution towards travel costs. For more information contact: hocine.cherifi at gmail.com Join us at COMPLEX NETWORKS 2023 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksharma.raj at gmail.com Wed Apr 19 11:12:12 2023 From: ksharma.raj at gmail.com (Raj Sharma) Date: Wed, 19 Apr 2023 20:42:12 +0530 Subject: Connectionists: Call for Paper: CODS-COMAD 2024 Message-ID: *Apologies if you have received multiple copies of this email --------------------------------------------------------------------------------------------------- CODS-COMAD 2024 11th ACM IKDD CODS and 29th COMAD 7th Joint International Conference on Data Science & Management of Data January 4-7, 2024 | IIIT Bangalore | Physical Conference https://cods-comad.in/ ---------------------------------------------------------------------------------------------------- We are pleased to announce the 7th Joint International Conference on Data Sciences and Management of Data to be held in Bangalore, India, on January 4-7, 2024 as a fully physical conference. CODS-COMAD is a premier international conference focusing on scientific work in Databases, Data Sciences and their applications. Being held for the 7th 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 science, data management, data mining, machine learning, and artificial intelligence. 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. Accepted long papers will get an opportunity to showcase their work as oral and poster presentation while short papers will get a poster slot in the conference program. 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 in the conference. For more details, visit: https://cods-comad.in/call-for-applied-data-science-track-papers.php TUTORIALS Call for tutorial proposals will be announced soon. Bookmark this page for updates: https://cods-comad.in/call-for-tutorial-proposals.php DEMO TRACK Call for demo papers will be announced soon. Bookmark this page for updates: https://cods-comad.in/call-for-demo-track-papers.php YOUNG RESEARCHERS' SYMPOSIUM Call for papers for Young Researchers? Symposium will be announced soon. Bookmark this page for updates: 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/research-track-vs-applied-data-science-track.php IMPORTANT DATES Research and Applied Data Science Tracks - July 10, 2023: Abstract submission deadline - July 17, 2023: Paper submission deadline - September 11, 2023: First stage decision notifications (Accept/Reject/Revision) - October 11, 2023: Submission of revised papers - November 3, 2023: Final decision notifications (Accept/Reject) - November 30, 2023: Camera ready due PAPER SUBMISSION LINK https://easychair.org/conferences/?conf=codscomad2024 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 Best paper in each track will be awarded. 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 - Sriraam Natarajan (UT Dallas) - Indrajith Bhattacharya (TCS Research) PC Chairs (Research Track) - Richa Singh (IIT Jodhpur) - Arun Kumar (University of California, San Diego) PC Chairs (Applied Data Science Track) - Kalika Bali (Microsoft Research, India) - Sayan Ranu (IIT Delhi) Tutorial Chairs - Preethi Jyothi (IIT Bombay) - Biplav Srivastava (University of Southern California) Young Researchers' Symposium (YRS) Chairs - Ponnurangam Kumaraguru (IIIT Hyderabad) - Janardhan Rao (Jana) Doppa (Washington State University) Demo Chairs - Harshad Khadilkar (TCS Research) - Mayukh Das (Microsoft) Data Challenge Chair - Atul Kumar (IBM Research, India) Diversity & Inclusion Chairs - Sumeet Agarwal (IIT Delhi) - Lipika Dey (TCS Research) Proceedings Chair - Abinaya K (Flipkart) Publicity Chair - Raj Sharma (Walmart Global Tech) Student Travel Grants Chair - Md. Shad Akhtar (IIIT Delhi) Sponsorship Chairs - Shourya Roy (Flipkart) - Mukesh Mohania (IIIT Delhi) Local Organizing Chairs - Dinesh Babu Jayagopi (IIIT Bangalore) - Raj Sharma (Walmart Global Tech) Registration Chairs - Vinu EV (IIIT Bangalore) - Raghuram Bharadwaj (IIIT Bangalore) Finance Chairs - Chandrashekhar Sahasrabudhe (ACM India) - Abhijat Vichare (ACM India) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Apr 20 02:44:13 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 20 Apr 2023 09:44:13 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Martin_Cooke?= =?utf-8?q?=3A_=22Who_needs_big_data=3F_Listeners=E2=80=99_adaptati?= =?utf-8?q?on_to_extreme_forms_of_variability_in_speech=22=2C_4_May?= =?utf-8?q?_2023=2C_15=3A00_CET?= References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr> <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr> <01bb01d8d3c7$e30ad440$a9207cc0$@csd.auth.gr> <004301d8d3df$32189830$9649c890$@csd.auth.gr> <01f801d90491$e300a6a0$a901f3e0$@csd.auth.gr> <005601d9049a$e6235450$b269fcf0$@csd.auth.gr> <0be601d93d20$8e207580$aa616080$@csd.auth.gr> <00b601d93d24$03426460$09c72d20$@csd.auth.gr> <151301d94c22$3d162200$b7426600$@csd.auth.gr> <00a001d94c25$1900e410$4b02ac30$@csd.auth.gr> <36ad01d971d5$7ad08940$70719bc0$@csd.auth.gr> <008201d972b0$795367a0$6bfa36e0$@csd.auth.gr> Message-ID: <059001d97353$86033fe0$9209bfa0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Martin Cooke, a prominent AI researcher internationally, will deliver the e-lecture: ?Who needs big data? Listeners? adaptation to extreme forms of variability in speech?, on May 4th, 2023 15:00 CET, see details in: http://www.i-aida.org/ai-lectures/ LINK and more Info: https://www.hitz.eus/en/webinars Attendance is free. 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) 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. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, , J. Stefanowski Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From hypeuler at gmail.com Wed Apr 19 10:41:14 2023 From: hypeuler at gmail.com (Erman Acar) Date: Wed, 19 Apr 2023 16:41:14 +0200 Subject: Connectionists: [Jobs] PhD Position Knowledge-Driven Learning for XAI in Fraud Detection at University of Amsterdam Message-ID: <9B8397B0-0512-4408-8DE5-361A5F99B2C8@gmail.com> Dear colleagues and friends, We have a PhD position opening (Project #1 in the link) which might be interesting for students that are interested in neuro-symbolic integration. Topic: Knowledge-Driven Learning for XAI in Fraud Detection This project aims to develop a novel neuro-symbolic framework that mainly combines the strengths of both the data-driven approaches (which comes with adaptability, autonomy, and good qualitative performance) and the knowledge-driven approaches (logical or causal, which comes with interpretability, maintainability, and well-understood computational characteristics) to provide counter-factual explanations for experts in terms of relevant features and the emergent structures in-between. Supervisors: Erman Acar, Ilker Birbil (AI & Optimisation, Amsterdam Business School) Deadline: May 21st. The selected candidate will be a part of the mentioned institutes as well as University of Amsterdam's growing AI4FinTech ecosystem, and will have a chance to work in an environment with major industry partners. For application and further info: https://vacatures.uva.nl/UvA/job/Seven-PhD-positions-in-AI-for-Fintech/768660902/ For more information, please do not hesitate to contact me. Erman --- Erman Acar, PhD Assistant Professor (XAI in Finance) Institute of Logic, Language and Computation (CLC Lab) & Informatics Institute (SIAS Group) University of Amsterdam -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Apr 20 05:29:09 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 20 Apr 2023 12:29:09 +0300 Subject: Connectionists: [Job] Two fully funded postdoctoral research positions on "Machine Learning and Computer Vision" and the "International Artificial Intelligence Doctoral Academy (AIDA)" in AIIA Lab, Aristotle University of Thessaloniki, Greece. Message-ID: <82af01d9736a$8fecf8e0$afc6eaa0$@csd.auth.gr> The Artificial Intelligence and Information Analysis Laboratory (AIIA Lab, AIIA.CVML R&D group) of the School of Informatics, Aristotle University of Thessaloniki, Greece (AUTH) has two open postdoctoral research positions. The interested applicant must have strong theoretical and/or applied background in machine learning and computer vision, with an emphasis on deep learning. Potential (not exclusive) application domains include robotics/autonomous systems and digital media. Qualifications * PhD degree* in machine learning and/or computer vision. * Strong publication record in well-known international journals and conferences. * Previous professional experience with international collaborative research projects (e.g., Horizon 2020/Horizon Europe) is desirable. * Good English writing skills. Application Interested candidates are kindly asked to send an e-mail to Prof. Ioannis Pitas pitas at csd.auth.gr with their Curriculum vitae and transcript of records. -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.pavlovic at tuebingen.mpg.de Thu Apr 20 05:05:19 2023 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Thu, 20 Apr 2023 09:05:19 +0000 Subject: Connectionists: REMINDER: Call for contribution and registration to the Systems Vision Science Symposium: Aug. 22-24, 2023, in Tuebingen, Germany Message-ID: <7e96c4f5457e4c80a8b03369b668aa4b@tuebingen.mpg.de> Systems Vision Science Symposium Aug. 22-24, 2023 in T?bingen, Germany -------------------------------- REMINDER ? DEADLINE TO SUBMIT CONTRIBUTIONS APRIL 30, 2023! Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Presentation topics by the invited speakers will be ? Topics in Systems Vision Science ? The power of two: New perspectives on binocular vision ? Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einh?user-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Sch?tz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. -------------------------------- We invite you to submit contributions in form of posters to the symposium on all topics in Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes five poster sessions (two daytime sessions and three evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. To contribute, please fill out our registration form including an abstract, which can be found here: https://summerschool.lizhaoping.org/contributions-for-symposium/ -------------------------------- Submissions of contributions are possible until April 30, 2023. Registration without contribution to the symposium will be open until capacity or deadline for organization is reached. This year?s venue capacity is 100, including invited speakers and summer school participants. Information about our summer school, which takes place just before the Systems Vision Science Symposium, can be found here: https://summerschool.lizhaoping.org/ Please direct inquiries to svs.summerschool at tue.mpg.de -------------------------------- Organizing team: Li Zhaoping Ulf L?der Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 6707 bytes Desc: not available URL: From yahmadian at gmail.com Thu Apr 20 06:03:28 2023 From: yahmadian at gmail.com (Yashar Ahmadian) Date: Thu, 20 Apr 2023 11:03:28 +0100 Subject: Connectionists: Postdoctoral Position in Computational and Cognitive Neuroscience at University of Cambridge Message-ID: We are seeking a highly motivated and creative postdoctoral researcher to work on a collaborative project between the labs of Yashar Ahmadian (https://www.cbl-cambridge.org/ahmadian) at the Computational and Biological Learning Lab (CBL -- https://cbl-cambridge.org ), and Zoe Kourtzi (https://www.abg.psychol.cam.ac.uk/) at the Psychology Department, at the University of Cambridge. The project is funded by the UKRI BBSRC and investigates the computational principles and circuit mechanisms underlying human visual perceptual learning, particularly the role of adaptive changes in the balance of cortical excitation and inhibition resulting from perceptual learning. The postdoc will be based in CBL, with free access to the Kourtzi lab in the Psychology department. The successful candidate(s) will have: - a strong quantitative background - demonstrable interest in theoretical neuroscience - obtained (or be close to completion of) a PhD or equivalent in computational neuroscience, machine learning, physics, mathematics or a related field. Preference will be given to candidates with: - previous experience in computational neuroscience, especially with the training of function-optimized neural networks. - sufficient programming skills to run numerical simulations and to use deep learning optimization packages - expertise with advanced data analysis and Bayesian techniques. To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/40391 For any research-related queries about the role, please contact Yashar Ahmadian: ya311 at cam.ac.uk or Zoe Kourtzi: zk240 at cam.ac.uk. Please quote reference NM36201 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. Best regards, Yashar Ahmadian -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Apr 20 06:08:17 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 20 Apr 2023 13:08:17 +0300 Subject: Connectionists: AIDA Summer School: First European Summer School on Artificial Intelligence (ESSAI) Message-ID: <9c0101d97370$0797a390$16c6eab0$@csd.auth.gr> CALL FOR PARTICIPATION 1st European Summer School on Artificial Intelligence - ESSAI 2023 24-28 July 2023 Faculty of Computer and Information Science, University of Ljubljana, Slovenia ******************** We are happy to announce that registration for the First European Summer School on Artificial Intelligence (ESSAI) is now open! ESSAI 2023 offers 24 one-week courses in different areas of artificial intelligence, offering a wide perspective and bridging across subdisciplines. The courses, organized in six parallel tracks, are at foundational, introductory, and advanced levels. ESSAI 2023 comprises the third TAILOR Summer School, and includes EurAI's Advanced Course on AI (ACAI 2023), consisting of 10 invited tutorials on the topic of AI for Science as an additional advanced track of ESSAI. The courses and tutorials, presented by top AI researchers from all over the world, are complemented with keynotes and social events. ESSAI 2023 will be an in-person one-week-long event in beautiful Ljubljana, a relaxed, green, and vibrant European capital. ESSAI 2023 is colocated with the 34th School in Logic, Language and Information ESSLLI 2023, happening one week later at the same location. Attendees of both schools benefit from reduced registration. Early registration is available until the 15th of May 2023; go to https://essai.si/registrations/ For AIDA students only: please both a) enroll in the AIDA website AND b) register in the ESSAI website, so that the ESSAI summer school attendance appears in your AIDA Certificate of Course Attendance (CCA). -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Thu Apr 20 06:37:41 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Thu, 20 Apr 2023 12:37:41 +0200 Subject: Connectionists: CFP; Joint 43rd IEEE Software Engineering Workshop,and,10th International Workshop on Cyber-Physical Systems (SEW-43 & IWCPS-10); Web of Science In-Reply-To: <363e90ec-2c69-a961-ab29-9158a4cb3d74@ibspan.waw.pl> References: <363e90ec-2c69-a961-ab29-9158a4cb3d74@ibspan.waw.pl> Message-ID: CALL FOR PAPERS Joint 43rd IEEE Software Engineering Workshop and 10th International Workshop on Cyber-Physical Systems (SEW-43 & IWCPS-10) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/s3e/sew-iwcps Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* The IEEE Software Engineering Workshop (SEW) is the oldest Software Engineering event in the world, dating back to 1969. The workshop was originally run as the NASA Software Engineering Workshop and focused on software engineering issues relevant to NASA and the space industry. After the 25th edition, it became the NASA/IEEE Software Engineering Workshop and expanded its remit to address many more areas of software engineering with emphasis on practical issues, industrial experience and case studies in addition to traditional technical papers. Since its 31st edition, it has been sponsored by IEEE and has continued to broaden its areas of interest. One such extremely hot new area are Cyber-physical Systems (CPS), which encompass the investigation of approaches related to the development and use of modern software systems interfacing with real world and controlling their surroundings. CPS are physical and engineering systems closely integrated with their typically networked environment. Modern airplanes, automobiles, or medical devices are practically networks of computers. Sensors, robots, and intelligent devices are abundant. Human life depends on them. CPS systems transform how people interact with the physical world just like the Internet transformed how people interact with one another. The joint workshop aims to bring together all those researchers with an interest in software engineering, both with CPS and broader focus. Traditionally, these workshops attract industrial and government practitioners and academics pursuing the advancement of software engineering principles, techniques and practices. This joint edition will also provide a forum for reporting on past experiences, for describing new and emerging results and approaches, and for exchanging ideas on best practice and future directions. Topics The workshop aims to bring together all those with an interest in software engineering. Traditionally, the workshop attracts industrial and government practitioners and academics pursuing the advancement of software engineering principles, techniques and practice. The workshop provides a forum for reporting on past experiences, for describing new and emerging results and approaches, and for exchanging ideas on best practice and future directions. Topics of interest include, but are not limited to: + Experiments and experience reports + Software quality assurance and metrics + Formal methods and formal approaches to software development + Software engineering processes and process improvement + Agile and lean methods + Requirements engineering + Software architectures + Design methodologies + Validation and verification + Software maintenance, reuse, and legacy systems + Agent-based software systems + Self-managing systems + New approaches to software engineering (e.g., search based software engineering) + Software engineering issues in cyber-physical systems + Real-time software engineering + Safety assurance & certification + Software security + Embedded control systems and networks + Software aspects of the Internet of Things + Software engineering education, laboratories and pedagogy + Software engineering for social media Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 + Conference date: September 17-20, 2023 SEW-43 & IWCPS-10 Committee: https://fedcsis.org/sessions/s3e/sew-iwcps/committee From ludovico.montalcini at gmail.com Thu Apr 20 10:49:34 2023 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Thu, 20 Apr 2023 16:49:34 +0200 Subject: Connectionists: ACDL 2023, 6th Advanced Course on Data Science & Machine Learning - From Deep Learning to Foundation Models | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by April 23 In-Reply-To: References: Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested * ACDL2023, An Interdisciplinary Course: From Deep Learning to Foundation Models If you want to learn Transformers, Large language models (e.g. GPT family, BERT, Megatron-Turing NLG, ...) Vision - Large-scale vision models (e.g. MAE, SimCLR, ...) Vision and language (e.g. DALL.E, ALIGN, CLIP, ...) Beyond vision and language (e.g. video, Knowledge-Graph, structured data, multilingual, ...) and much more then take part in ACDL 2023! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2023.icas.cc acdl at icas.cc EARLY REGISTRATION: by April 23 https://acdl2023.icas.cc/registration/ Oral Presentation Submission Deadline: by April 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2023.icas.cc/lecturers/ Luca Beyer, Google Brain, Z?rich, Switzerland Lecture 1: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 1/2" Lecture 2: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 2/2" Lecture 3: "Transformers 1/2" Lecture 4: "Transformers 2/2" Aakanksha Chowdhery, Google Brain, USA Lecture 1: TBA Lecture 2: TBA Thomas Kipf, Google Brain, USA Lecture 1: "Graph Neural Networks 1/2" Lecture 2: "Graph Neural Networks 2/2" Lecture 3: "Structured Representation Learning for Perception 1/2" Lecture 4: "Structured Representation Learning for Perception 2/2" Pushmeet Kohli, DeepMind, London, UK Lectures: TBA Yi Ma, University of California, Berkeley, USA Lecture 1: "An Overview of the Principles of Parsimony and Self-Consistency: The Past, Present, and Future of Intelligence" Lecture 2: "An Introduction to Low-Dimensional Models and Deep Networks" Lecture 3: "Parsimony: White-box Deep Networks from Optimizing Rate Reduction" Lecture 4: "Self-Consistency: Closed-Loop Transcription of Low-Dimensional Structures via Maximin Rate Reduction" Gerhard Paass, Fraunhofer Institute -IAIS, Germany Lecture 1: "Introduction to Foundation Models" Lecture 2: "Foundation Models for Retrieval Applications" Lecture 3: "Combining Foundation Models with External Text Resources" Lecture 4: "Approaches to Increase Trustworthiness of Foundation Models2 Panos Pardalos, University of Florida, USA Lecture 1: TBA Lecture 2: TBA Qing Qu, University of Michigan, USA Lecture 1: "Low-Dimensional and Nonconvex Models for Shallow Representation Learning" Lecture 2: "Low-Dimensional Structures in Deep Representation Learning I" Lecture 3: "Low-Dimensional Structures in Deep Representation Learning II" Lecture 4: "Robust Learning of Overparameterized Networks via Low-Dimensional Models" Alex Smola, Amazon, USA (TBC) Zoltan Szabo, LSE, London, UK Lecture 1: "Shape-Constrained Kernel Machines and Their Applications" Lecture 2: "Beyond Mean Embedding: The Power of Cumulants in RKHSs" Michal Valko, DeepMind Paris & Inria France & ENS MVA Lecture 1: "Reinforcement learning" Lecture 2: "Deep Reinforcement Learning" Lecture 3: "Learning by Bootstrapping: Representation Learning" Lecture 4: "Learning by Bootstrapping: World Models" TUTORIAL SPEAKERS: Each Tutorial Speaker will hold more than four lessons on one or more research topics. Rapha?l Berthier, EPFL, Switzerland Lecture 1: "Implicit Regularization in Neural Networks" Lecture 2: "Incremental Learning in Diagonal Linear Networks" Lecture 3: "Approaches to Study Dynamics of Neural Networks" Lecture 4: "The Fast-Slow Regime of Neural Networks" Bruno Loureiro, ?cole Normale Sup?rieure, France Lectures 1-10: "Wonders of high-dimensions: the maths and physics of Machine Learning" Varun Ojha, Newcastle University, UK Lecture 1: "Characterization of Deep Neural Networks" Lecture 2: "Backpropagation Neural Tree" Lecture 3: "Sensitivity Analysis of Deep Learning and Optimization Algorithms" https://acdl2023.icas.cc/lecturers/ PAST LECTURERS: https://acdl2023.icas.cc/past-lecturers/ ACDL 2023 VENUE: Riva del Sole Resort & SPA Localit? Riva del Sole ? Castiglione della Pescaia (Grosseto) CAP 58043 ? Tuscany ? Italy p: +39-0564-928111 f: +39-0564-935607 e: events at rivadelsole.it w: www.rivadelsole.it https://acdl2023.icas.cc/venue/ PAST EDITIONS: https://acdl2023.icas.cc/past-editions/ REGISTRATION: https://acdl2023.icas.cc/registration/ CERTIFICATE & 8 ECTS: PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. Anyone interested in participating in ACDL 2023 should register as soon as possible. Similarly for accommodation at the Riva del Sole Resort & SPA (the Course Venue), book your full board accommodation at the Riva del Sole Resort & SPA as soon as possible. All course participants must stay at the Riva del Sole Resort & SPA. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2023 Directors. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Chuck.Anderson at colostate.edu Thu Apr 20 14:58:28 2023 From: Chuck.Anderson at colostate.edu (Anderson,Chuck) Date: Thu, 20 Apr 2023 18:58:28 +0000 Subject: Connectionists: CFP: Correlative Learning Workshop at IJCNN 2023 Message-ID: The submission deadline has been extended to April 23rd. See https://correlativelearning.ai/ for details. Workshop Topics ----------------------- Despite gradient descent being the dominant approach to parameter adaptation in neural networks, correlative learning is often considered to be more biologically plausible, easier to implement in hardware and an interesting alternative to the gradient-based methods. Our workshop is a venue for the discussion of correlation-based learning methods, their applications, recent developments and future directions. This workshop will help build a community of researchers interested in discussing common problems and elucidating the most important questions facing these types of approaches. Call for Participation --------------------------- Correlative Learning (CL) uses product terms, rather than derivatives, to adapt the parameters of learning systems. Though CL has had significant impact on neuroscience, signal processing, and control, the Machine Learning (ML) community still predominantly uses derivative-based approaches. Several CL approaches were introduced in the 1990s and shown to be effective in Neural Networks with a few layers and a moderate number of parameters. One of the best known examples of CL is Hebbian learning. Some others, like Alopex are applied in a stochastic framework. In this workshop we plan to thoroughly investigate the effectiveness of CL for current Deep Learning (DL) systems; this could also enhance the effectiveness of other methods. This workshop seeks to bring together practitioners of CL from Neuroscience, Psychology, Computer Science, Physics, Mathematics, and other fields. Discussion of recent results across a diverse range of applications can create an active community of CL researchers and this can lead to dissemination of CL approaches more broadly to the ML community. We plan to devote about half of the workshop to lively discussions, based on a set of questions, like: ?How can we get better approximate gradient information through correlations??, ?What are the implementational advantages of CL in hardware and software??, ?How can we scale CL to deeper, wider networks??, ?Can CL benefit from adaptive momentum in the ADAM and related algorithms??, ?How can biological CL models inform ML??. Also, an entire session of the workshop will be devoted to graduate students and post-docs, where presentations and discussions about their nascent ideas can help create the next generation CL community. We invite anyone interested in Correlative Learning to join us at IJCNN 2023 either in person or virtually. Submission Details -------------------------- In order to maximise time for discussion and encourage the development of the field, we have scheduled five colloquia and six early career researcher presentations (open to graduate students and those who were awarded a PhD within the last 10 years). Colloquia and presentations will be selected by the program committee. Criteria for selection are: appropriateness to the workshop and merit. To submit a colloquium proposal send (1) your name, (2) a brief biography, (3) a title, (4) an abstract of 300 words or less (not-including references), (5) for early career a statement regarding your qualification for the category signed by a graduate advisor, to abstract at correlativelearning.ai by no later than the end of day April 23rd (AOE). Chuck Anderson Department of Computer Science Colorado State University http://www.cs.colostate.edu/~anderson -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Thu Apr 20 16:51:16 2023 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Thu, 20 Apr 2023 22:51:16 +0200 Subject: Connectionists: Last Call for Satellite Workshop Proposals, Bernstein Conference 2023 in Berlin In-Reply-To: <2d84e6f7-5eba-7a3f-33fa-da94c314cc9e@fz-juelich.de> References: <2d84e6f7-5eba-7a3f-33fa-da94c314cc9e@fz-juelich.de> Message-ID: Last Call for Satellite Workshop Proposals, Bernstein Conference 2023 in Berlin +++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops preceding the Bernstein Conference 2023 in Berlin. +++ ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES - Satellite Workshops: September 26 - 27, 2023 o Tuesday, Sep 26, 14:00 ? 18:00 CEST o Wednesday, Sep 27, 8:30 ? 12:30 CEST - Main Conference: September 27 ? September 29, 2023 - Deadline for Satellite Workshop proposal submission: Wednesday, April 26 at 15:00 CEST, and will NOT be extended - Notification of workshop acceptance: planned in mid May 2023 Find further information here: https://bernstein-network.de/bernstein-conference/call-for-satellite-workshops/ ____ FINANCIAL SUPPORT Workshop registration is free for all organizers and speakers of workshops. Workshop organizers will additionally receive a waiver for the main conference fee. From the accepted workshops up to ten workshops will be selected to receive financial support of up to 1500 ? each. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de -- Dr. Alexander Lammers Press and Public Relations Bernstein Network Computational Neuroscience Bernstein Coordination Site Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9a | 79104 Freiburg | Germany Phone: +49 761 203-96787 Mail: a.lammers at fz-juelich.de Web: www.bernstein-network.de LinkedIn: Bernstein Network Computational Neuroscience Twitter: BernsteinNeuro Mastodon: BernsteinNetwork at mastodon.world ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From gualtiero.volpe at unige.it Thu Apr 20 17:41:26 2023 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Thu, 20 Apr 2023 23:41:26 +0200 Subject: Connectionists: ICMI 2023 2nd Call for Papers Message-ID: <03fc01d973d0$dc030ec0$94092c40$@unige.it> ================================= ACM ICMI 2023 2ND CALL FOR PAPERS ================================= 9-13 October 2023, Paris - France https://icmi.acm.org/2023/ ================================= The 25th International Conference on Multimodal Interaction (ICMI 2023) will be held in Paris, France. ICMI is the premier international forum that brings together multimodal artificial intelligence (AI) and social interaction research. Multimodal AI encompasses technical challenges in machine learning and computational modeling such as representations, fusion, data and systems. The study of social interactions englobes both human-human interactions and human-computer interactions. A unique aspect of ICMI is its multidisciplinary nature which values both scientific discoveries and technical modeling achievements, with an eye towards impactful applications for the good of people and society. This year, the conference is pleased to welcome 3 keynote speakers: * Maja Mataric (Interaction Lab, University of Southern California) * Sophie Scott (Institute of Cognitive Neuroscience, University College London) * Simone Natale (University of Turin) We are keen to showcase novel input and output modalities and interactions to the ICMI community. ICMI 2023 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), demonstrations, exhibits, doctoral spotlight papers, and late-breaking papers. The conference will also feature workshops and grand challenges. The proceedings of all ICMI 2023 papers, including Long and Short Papers, will be published by ACM as part of their series of International Conference Proceedings and Digital Library, and the adjunct proceedings will feature the workshop papers. Novelty will be assessed along two dimensions: scientific novelty and technical novelty. Accepted papers at ICMI 2023 will need to be novel along one of the two dimensions: * Scientific Novelty: Papers should bring new scientific knowledge about human social interactions, including human-computer interactions. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children's interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper. * Technical Novelty: Papers reviewed with this sub-criterion should include novelty in their computational approach for recognizing, generating or modeling data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated with new usages of an existing approach. Please see the Submission Guidelines for Authors https://icmi.acm.org/2023/guidelines-for-authors/ for detailed submission instructions. This year's conference theme: The theme for this year's conference is "Science of Multimodal Interactions". As the community grows, it is important to understand the main scientific pillars involved in deep understanding of multimodal and social interactions. As a first step, we want to acknowledge key discoveries and contributions that the ICMI community enabled over the past 20+ years. As a second step, we reflect on the core principles, foundational methodologies and scientific knowledge involved in studying and modeling multimodal interactions. This will help establish a distinctive research identity for the ICMI community while at the same time embracing its multidisciplinary collaborative nature. This research identity and long-term agenda will enable the community to develop future technologies and applications while maintaining commitment to world-class scientific research. Additional topics of interest include but are not limited to: * Affective computing and interaction * Cognitive modeling and multimodal interaction * Gesture, touch and haptics * Healthcare, assistive technologies * Human communication dynamics * Human-robot/agent multimodal interaction * Human-centered A.I. and ethics * Interaction with smart environment * Machine learning for multimodal interaction * Mobile multimodal systems * Multimodal behaviour generation * Multimodal datasets and validation * Multimodal dialogue modeling * Multimodal fusion and representation * Multimodal interactive applications * Novel multimodal datasets * Speech behaviours in social interaction * System components and multimodal platforms * Visual behaviours in social interaction * Virtual/augmented reality and multimodal interaction Submissions: ------------ Please note that the instructions were updated as of March 17th, 2023. All submissions are expected for reviewing in PDF. The submission format is the double column ACM conference format (see https://icmi.acm.org/2023/guidelines-for-authors/) The length depends on the different submission categories: * Long paper: The maximum length is 8 pages using latex or Word (excluding references). * Short paper: The maximum length is 4 pages using latex or Word (excluding references). The submissions can be submitted online on: https://new.precisionconference.com/submissions/icmi23a ACM Publication Policies ------------------------ By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy. Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts. Important Dates --------------- Paper Submission May 1, 2023 Rebuttal period June 26-29, 2023 Paper notification July 21, 2023 Camera-ready paper August 14, 2023 Presenting at main conference October 9-13, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From aal1 at columbia.edu Fri Apr 21 21:12:21 2023 From: aal1 at columbia.edu (Aurel A. Lazar) Date: Fri, 21 Apr 2023 21:12:21 -0400 Subject: Connectionists: Making the odorant world intelligible - How its semantics can be characterized Message-ID: <32E7E202-8F47-4A40-B00E-F3E1F1EE0D69@columbia.edu> The paper listed below models for the first time the identity of an odorant object as semantic information and the onset/offset timing events as semantic timing. The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe Aurel A. Lazar, Tingkai Liu, Chung-Heng Yeh, PLoS Comput Biol 19(4): e1011043. https://doi.org/10.1371/journal.pcbi.1011043 Author summary A major challenge in the study of the Drosophila early olfactory sensory system is to determine how an odorant object (the smell of a rose) is reliably identified in the face of fluctuations of the concentration amplitude of the molecules within the odorant plume. More fundamentally, the question arises how semantic information, often associated with subjective perception, can be characterized. To address this challenge, we leveraged the unique combinatorial odorant code of Drosophila and presented a formal treatment of the identity of an odorant object as its semantic information (or semantics for short). Grounded in the physiology of the fly brain, we identified the functional roles played by Local Neurons in the fruit fly Antennal Lobe in the recovery of the semantics and the onset/offset timing information (or semantic timing). Our model of the Antennal Lobe circuit is built with a highly versatile canonical model of neural computation - the differential Divisive Normalization Processor. Aurel http://www.bionet.ee.columbia.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Apr 22 04:38:14 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 22 Apr 2023 10:38:14 +0200 (CEST) Subject: Connectionists: BigDat 2023 Summer: early registration April 28 Message-ID: <1057570429.1184442.1682152694861@webmail.strato.com> *********************************************** 7th INTERNATIONAL SCHOOL ON BIG DATA BigDat 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://bigdat.irdta.eu/2023su *********************************************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice - IRDTA Brussels/London *********************************************** Early registration: April 28, 2023 *********************************************** FRAMEWORK: BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the opportunity to attend lectures in the program of DeepLearn 2023 Summer as well if they are interested. SCOPE: BigDat 2023 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 big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona. Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, health, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, analytics, security and privacy, as well as applications to biology and medicine, business, finance, transportation, online social networks, etc. Major challenges of analytics, management and storage of big data will be identified through 14 four-hour and a half courses and 2 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 employment 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, BigDat 2023 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: BigDat 2023 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/ STRUCTURE: 2 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. Also, if interested, participants will be able to attend courses developed in DeepLearn 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Valerie Daggett (University of Washington), Dynameomics: From Atomistic Simulations of All Protein Folds to the Discovery of a New Protein Structure to the Design of a Diagnostic Test for Alzheimer?s Disease Sander Klous (University of Amsterdam), How to Audit an Analysis on a Federative Data Exchange PROFESSORS AND COURSES: Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data Marcelo Bertalm?o (Spanish National Research Council), [introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks Gianluca Bontempi (Universit? Libre de Bruxelles), [intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference Altan ?akir (Istanbul Technical University), [introductory/intermediate] Introduction to Big Data with Apache Spark Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data Intensive Science Analysis Ravi Kumar (Google), [intermediate/advanced] Differential Privacy Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Jos? M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph Signal Processing and Geometric Learning Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics for Massive Networks Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Network-Based Health Analytics Steven Skiena (Stony Brook University), [introductory/intermediate] Word and Graph Embeddings for Machine Learning Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate] Meta-Analysis Methods for High-Dimensional Data Ana Trisovic (Harvard University), [introductory/advanced] Principles, Statistical and Computational Tools for Reproducible Data Science Sebasti?n Ventura (University of C?rdoba), [intermediate] Supervised Descriptive Pattern Mining 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 9, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data 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 9, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in big data 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 July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) 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://bigdat.irdta.eu/2023su/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 as well as eventually courses in DeepLearn 2023 Summer. 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 are available at https://bigdat.irdta.eu/2023su/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 - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Sun Apr 23 08:15:38 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Sun, 23 Apr 2023 14:15:38 +0200 Subject: Connectionists: Doctoral Student and Young Researcher Awards @ FRCCS 2023 Deadline May 02, 2023 Message-ID: Please diffuse in your networks: *Submission deadline extended: May 02, 2023 (firm deadline)* *DOCTORAL STUDENT AWARD * The Doctoral Student Award is in place to recognize early career contributions. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists in presenting your research in simple terms in a five minutes video to a lay audience. Your presentation should be clear, concise, and convincing. More info: https://iutdijon.u-bourgogne.fr/ccs-france/doctoral-student-award/ *YOUNG RESARCHER AWARD * The Young Researcher Award is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers up to *five years* *after* the Ph.D. completion (date of Ph.D. defense) and the deadline of the call for nomination. More info: https://iutdijon.u-bourgogne.fr/ccs-france/young-resarcher-award/ Best regards Join us at COMPLEX NETWORKS 2023 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Sun Apr 23 19:30:59 2023 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Mon, 24 Apr 2023 08:30:59 +0900 Subject: Connectionists: WI-IAT' 23 CfPs [June 15, 2023] Message-ID: [Apologies if you receive this more than once] +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) 26-29 October 2023 | Venice, Italy A hybrid conference with both online and offline modes Web Intelligence = AI in the Connected World Homepage: https://www.wi-iat.com/wi-iat2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Full Papers Submission Deadline: June 15, 2023 (Anywhere on Earth) Workshops and Special Sessions Paper Submission: July 2, 2023 (Anywhere on Earth) Sponsored By: ACM-SIGAI Web Intelligence Consortium (WIC) IEEE Computer Society Technical Committee on Intelligent Informatics (TCII) The 2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'23) 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 deepening the understanding of all Web's entities, phenomena, and developments in utilizing the power of human brains and man-made networks to create a better world. More specifically, the fields of how artificial intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, the Web of Everything, and emerging FAccT in WI-IAT. Therefore, the theme of WI-IAT '23 will be ?Web Intelligence = AI in the Connected World?. WI-IAT '23 welcomes research, application, and 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. Relevant topics include but are not limited to: TRACKS AND TOPICS ++++++++++++++++++ TRACK 1: WEB OF PEOPLE * Cognitive Modeling and Computing * Conversational Search and Dialog Systems * Crowdsourcing and Social Computing * Human Centric Computing and Services * Human Creativity and Decision-making Support * Human-level Collective Intelligence * Human-machine Co-intelligence in the Connected World * Information Diffusion Modeling and Analysis * Opinion Mining and Sentiment Analysis * Recommendation Systems * Situation and Personality Awareness * Social Media and Social Networks * User and Behavioural Modelling * Wisdom Services TRACK 2: WEB OF DATA * Artificial Intelligence Generated Content (AIGC) * Big Data Analytics and Deep Learning * Big Data and Human Brain Complex Systems * Cognitive Models and Computational Models * Data Driven Services and Applications * Data Integration and Data Provenance * Data-Knowledge-Wisdom Hierarchy * Data Science and Machine Learning * Few-shot Learning and Transfer Learning * Graph Isomorphism and Graph Theory * Information Search and Retrieval * Knowledge Graph and Semantic Networks * Linked Data Management and Analytics * Multimodal Data Fusion * Pre-trained Language Models and Applications * Representation Learning TRACK 3: WEB OF THINGS * 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 * Sensor Networks * Streaming Data Analysis * Web Infrastructures and Devices Mobile Web * Wisdom Web of Things TRACK 4: WEB OF TRUST * Blockchain Analytics and Technologies * De-Platforming and No-platforming * Decentralization of Internet * Fake Content and Fraud Detection * Hidden Web Analytics * Monetization Services and Applications * Trust Models for Agents * Ubiquitous Computing * Web Cryptography * Web Safety and Openness * Web-scale Security, Integrity, Privacy and Trust TRACK 5: WEB OF AGENTS * Agent Networks and Multi-Agent Systems * Autonomy Remembrance Agents * Autonomy-oriented Computing * Behaviour Modelling and Individual-based Modelling * Chatbot and Intelligent Agent * Computational Social Science * Deep Reinforcement Learning * Distributed Problem-Solving and Reasoning * Edge Computing and Cloud Computing * Local-global Behavioural Interactions * Mechanism Design * Network Autonomy Remembrance Agents * Self-adaptive and Self-organizing Evolutionary Systems * Social-cyber-physical Systems * Symbols-Meaning-Value Space SPECIAL TRACK: Web in Industry, Society, Health and Smart Living, and the Web of Everything * AIGC in Industry, Finance, Culture, Tourism, Education and Healthcare * Data Brain, City Brain and Global Brain * Data-driven Service Industry * Data-driven Innovative Service-oriented Society * Digital Ecosystems and Digital Epidemiology * Digital Transformation and Digital Twin * Generative AI and the Web of Everything * Human-machine Symbiosis in a Connected World * Web3, Metaverse and Smart Living * Wellbeing and Healthcare in the 5G Era SPECIAL TRACK in WI-IAT 2023: FAccT * Fairness, Accountability, and Transparency * Explainability and Interpretability * Metric and Evaluation * Applications and Use Cases * Impact on Society IMPORTANT DATES +++++++++++++++ April 16, 2023: Workshop Proposal Submission April 30, 2023: Workshop Proposal Acceptance Notification June 15, 2023: Full Papers Submission July 2, 2023: Workshops/Special Sessions Paper Submission July 30, 2023: Paper Acceptance Notification (Main Conference + Workshops) October 26, 2023: Workshops and Special Sessions October 27-29, 2023: 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. Main Conference Paper Submission: https://wi-lab.com/cyberchair/2023/wi23/scripts/submit.php?subarea=WI Workshops and Special Sessions Paper Submission: https://wi-lab.com/cyberchair/2023/wi23/scripts/ws_submit.php?subarea=S Organization Structure ++++++++++++++++++++++ General Chairs * Salvatore Orlando, Ca' Foscari University of Venice, Italy * Gabriella Pasi, University of Milano-Bicocca, Italy * Ning Zhong, Maebashi Institute of Technology, Japan Program Committee Chairs * Claudio Lucchese, Ca' Foscari University of Venice, Italy * Xiaohui Tao, University of Southern Queensland, Australia * Sebastian Bruch, Ca' Foscari University of Venice, Italy Local Organizing Chair * Cristiana Fiandra, The Office, Italy Workshop/Special Session Chairs * Marco Viviani, University of Milano Bicocca, Italy * Xujuan Zhou, University of Southern Queensland, Australia Publicity Chairs * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Thanveer Shaik, University of Southern Queensland, Australia 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 neuron99 at vt.edu Sun Apr 23 17:53:46 2023 From: neuron99 at vt.edu (Sujith Vijayan) Date: Sun, 23 Apr 2023 17:53:46 -0400 Subject: Connectionists: Postdoc Position in Neural Dynamics of Sleep and Neuromodulation In-Reply-To: References: Message-ID: The Neural Dynamics and Neural Engineering Lab at Virginia Tech has an opening for a postdoctoral position. This position is being funded by the Army Research Office (ARO). The research project will employ signal processing techniques and biophysically based computational models in conjunction with EEG experiments to examine the impact of sounds played during sleep on brain dynamics. Experience conducting EEG experiments or a willingness to learn how to collect EEG sleep data is highly desirable. Individuals with prior experience collecting other forms of electrophysiological data (e.g., single unit or local field potentials) who would like to transition to collecting EEG data are also encouraged to apply. Our lab investigates neural dynamics during active behavior and during off-line states, such as sleep, using a combination of computational modeling, signal processing techniques, and both invasive (ECoG and depth electrode) and non-invasive (EEG) techniques for recording neural activity. The basic science knowledge gathered from these investigations is leveraged to understand how memories are instantiated in the brain, to gain insight into how learning occurs during brain-machine interface (BMI) tasks, and to develop the framework for stimulation and pharmacological therapies for diseases, especially those marked by abnormal neural dynamics during sleep (e.g., post-traumatic sleep disorder (PTSD) and Parkinson?s disease). You can find out more about the position and apply here: https://careers.pageuppeople.com/968/cw/en-us/job/524980/postdoctoral-associate-computational-neuroscience -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Mon Apr 24 04:08:05 2023 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Mon, 24 Apr 2023 10:08:05 +0200 Subject: Connectionists: Karl Friston speaking on April 27 in Developing Minds global online lecture series Message-ID: <874E8943-AAE1-446E-86C8-C23920175A47@fias.uni-frankfurt.de> Dear colleagues, On April 27, the Developing Minds global online lecture series will feature Karl Friston from UCL, UK, speaking on: "Active inference and artificial curiosity?? The live event will take place via zoom at: 10:00 am EST (Eastern Daylight Time, US) 14:00 UTC (Universal Coordinated Time) 15:00 / 3:00 pm BST (British Summer Time) 16:00 CET (Central European Time) 23:00 JST (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract: This talk offers a formal account of insight and learning in terms of active (Bayesian) inference. It deals with the dual problem of inferring states of the world and learning its statistical structure. In contrast to current trends in machine learning (e.g., deep learning), we focus on how agents learn from a small number of ambiguous outcomes to form insight. I will use simulations of abstract rule-learning and approximate Bayesian inference to show that minimising (expected) free energy leads to active sampling of novel contingencies. This epistemic, curiosity-directed behaviour closes `explanatory gaps' in knowledge about the causal structure of the world; thereby reducing ignorance, in addition to resolving uncertainty about states of the known world. We then move from inference to model selection or structure learning to show how abductive processes emerge when agents test plausible hypotheses about symmetries in their generative models of the world. The ensuing Bayesian model reduction evokes mechanisms associated with sleep and has all the hallmarks of aha moments. Key words: active inference ? insight ? novelty ? curiosity ? model reduction ? free energy ? epistemic value Bio: Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM). These contributions were motivated by schizophrenia research and theoretical studies of value-learning, formulated as the dysconnection hypothesis of schizophrenia. Mathematical contributions include variational Laplacian procedures and generalized filtering for hierarchical Bayesian model inversion. Friston currently works on models of functional integration in the human brain and the principles that underlie neuronal interactions. His main contribution to theoretical neurobiology is a free-energy principle for action and perception (active inference). Friston received the first Young Investigators Award in Human Brain Mapping (1996) and was elected a Fellow of the Academy of Medical Sciences (1999). In 2000 he was President of the international Organization of Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006. In 2008 he received a Medal, College de France and an Honorary Doctorate from the University of York in 2011. He became of Fellow of the Royal Society of Biology in 2012, received the Weldon Memorial prize and Medal in 2013 for contributions to mathematical biology and was elected as a member of EMBO (excellence in the life sciences) in 2014 and the Academia Europaea in (2015). He was the 2016 recipient of the Charles Branch Award for unparalleled breakthroughs in Brain Research and the Glass Brain Award, a lifetime achievement award in the field of human brain mapping. He holds Honorary Doctorates from the University of Zurich and Radboud University. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From georgeangelos60 at gmail.com Mon Apr 24 08:30:33 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Mon, 24 Apr 2023 15:30:33 +0300 Subject: Connectionists: 10th International Conference on Behavioural and Social Computing (BESC 2023): Third Call for Papers Message-ID: *** Third Call for Papers *** 10th International Conference on Behavioural and Social Computing (BESC 2023) October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus http://besc-conf.org/2023/ The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the proceedings are published by IEEE BESC 2023 invites submissions of original, high-quality research papers addressing cutting-edge developments from all areas of behavioural and social computing. The conference aims to bring together researchers and practitioners from academia and industry to share their knowledge, experience, and perspectives on the latest trends, challenges, and opportunities in this rapidly evolving field. Topics of interest include, but are not limited to: Social Computing, Computational Social Science and Applications ? Computational models of social phenomena ? Social behaviour ? Social network analysis ? Semantic web ? Collective intelligence ? Security, privacy, trust in social contexts ? Social recommendation ? Social influence and social contagions ? Quantifying offline phenomena through online data ? Forecasting of social phenomena ? Science and technology studies approaches to computational social science ? Social media and health behaviours ? Social psychology and personality ? New theories, methods, and objectives in computational social science Digital Humanities ? Digital media ? Digital humanities ? Digital games and learning ? Digital footprints and privacy ? Crowd dynamics ? Digital arts ? Digital healthcare ? Activity streams and experience design ? Virtual communities (e.g., open-source, multiplayer gaming, etc.) Information Management and Information Systems (IS) ? Decision analytics ? E-Business ? Decision analytics ? Computational finance ? Societal impacts of IS ? Human behaviour and IS ? IS in healthcare ? IS security and privacy ? IS strategy, structure and organizational impacts ? Service science and IS Natural Language Processing ? Web mining and its social interpretations ? Sentiment Analysis, Stylistic Analysis, and Argument Mining ? Opinion mining and social media analytics ? Credibility of online content ? Computational Linguistics ? Mining big social data ? Cognitive Modelling and Psycholinguistics Behaviour and User Modelling, Privacy, and Ethics ? Behaviour change ? Positive technology ? Personalization for individuals, groups and populations ? Large scale personalization, adaptation and recommendation ? Web dynamics and personalization ? Privacy, perceived security and trust ? Technology and Wellbeing ? Ethics of computational research on human behaviour Technology Enhanced Learning (TEL) ? E-Learning and M-Learning ? Open and Distance Learning ? User modeling and personalization in TEL ? TEL in secondary and in higher education ? New tools for TEL BESC 2023 will also host the following Special Sessions. Papers accepted in any of the Special Sessions will be included in the same IEEE conference proceedings with the papers accepted for the general technical program. ? Computational Social Psychology in Post Covid-19 Period ? Artificial Intelligence for Mental Health, Mental Illness, Psychiatic Diagnosis, and Prediction ? Intelligent E-Learning at Post Covid-19 Era ? Big Data and AI-Powered Decision Support Systems in Business ? Understanding the Citizen's Behavior in Cognitive Cities ? Nudges and Behavioural Computing Models for a Sustainable and Equitable Development SUBMISSION INSTRUCTIONS The paper submission system is using Easy Chair and the submission link is: https://easychair.org/conferences/?conf=besc2023 . All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2023, originality, significance and clarity. Please note: ? All submissions should use IEEE two-column style. Templates are available here: https://www.ieee.org/conferences/publishing/templates.html ? All papers must be submitted electronically through the paper submission system in PDF format only. BESC 2023 accepts research papers (6 pages), special session papers (6 pages) and Doctoral Symposium papers (4 pages). ? The page count above excludes the references (but includes any appendices). ? Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review. ? Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. ? Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. ? Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. ? The use of artificial intelligence (AI)?generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. ? All accepted papers will be included in IEEE Xplore and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer), Web Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing). IMPORTANT DATES ? Submission of all papers: 15 July 2023 ? Notification of acceptance for submitted papers: 15 September 2023 ? Camera-Ready Submission: 1 October 2023 ? Author Registration: 1 October 2023 ORGANISATION Steering Committee Chair ? Guandong Xu, University of Technology Sydney, Australia General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Georgia Kapitsaki, University of Cyprus, Cyprus ? Ji Zhang, University of Southern Queensland, Australia Special Session Chairs ? Taotao Cai, University of Southern Queensland, Australia ? Ting Yu, Zhejiang Lab, China Doctoral Symposium Chair ? Barbara Caci, University of Palermo, Italy Panel and Tutorial Chair ? Philippe Fournier-Viger, Shenzhen University, China Proceedings Chair ? Md Rafiqul Islam, University of Technology Sydney, Australia Publicity Chairs ? Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore ? Thanveer Shaik, University of Southern Queensland, Australia ? Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India Webmaster ? 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URL: From xavier.hinaut at inria.fr Mon Apr 24 11:33:47 2023 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Mon, 24 Apr 2023 17:33:47 +0200 Subject: Connectionists: =?utf-8?q?=5BPost-Doc=5D_Inria_Bordeaux=2C_FR=3A_?= =?utf-8?q?=E2=80=9CDecoding_Transformers=E2=80=9D=3A_Analyze_Transformers?= =?utf-8?q?_for_Brain_Language_Decoding_and_Encoding?= Message-ID: A post-doc position is availbe at Inria, Bordeaux France: ?Decoding Transformers: Analyze Transformers for Brain Language Decoding and Encoding" Email contact/questions: **until 3rd of May** to xavier dot hinaut at inria dot fr Apply here: https://recrutement.inria.fr/public/classic/en/offres/2023-06169 Deadline application: **13th May 2023** # Keywords Brain encoding/decoding; Transformers; Language; Computational Neuroscience; fMRI/MEG/EEG brain data # Duration & start date 24 months starting 1st October 2023 # Scientific research context The development of new mechanistic models of brain activity can help to better understand how the brain works. This is particularly true for language, where a better understanding of the cognitive mechanisms involved could lead to improved treatments for developmental language disorders in children and to improved rehabilitation methods for brain injuries that lead to aphasia. The development of theoretical models for the neural dynamics underlying brain functions, including learning, is essential to (1) better understand the general functioning of the brain and (2) explore new paths that are not accessible using purely experimental (neurobiological) methods. In this project we will consider various imaging methods with different spatial and temporal resolutions: Functional Magnetic Resonance Imaging (fMRI, high spatial resolution), ElectroEncephalography (EEG, high temporal resolution), MagnetoEncephalography (MEG, high temporal resolution, and better spatial resolution than EEG), as well as ECoG (ElectroCorticoGraphy, similar to EEG but less noisy as it is directly on the surface of the cortex and covers a reduced area of the brain). The number and quality of brain imaging datasets available in open source is increasing rapidly in recent years [Li et al., 2021, Nastase et al., 2021, Gwilliams et al., 2022]. This is a great opportunity for modellers who do not usually have easy access to such data, and also an opportunity to compare different algorithms on the same data, in order to make the research more robust and reproducible. # Work description The long term objective is to obtain both mechanistic models that are explanatory and produce good predictions of brain imaging data. At the moment we have mechanistic models that are not very predictive (e.g. based on Reservoir Computing) and predictive models that are not very explanatory (e.g. Transfomers). The objective is to obtain the best of both worlds in order to provide some answers to our question by identifying the mechanisms necessary for language processing, while improving the predictive capacities of mechanistic models. To this end, this research project aims to understand the mechanisms that allow Transformers to predict brain activity. In the long term, this project also aims to build models that are more biologically plausible than Transformers by using their components that best predict brain activity, and by introducing constraints derived from our knowledge of cognitive and brain functions. The objective of this project is divided into different sub-objectives: 1. to identify the components of the Transformer architecture that best predict the activity obtained by different imaging techniques (MRI, EEG, ECog, MEG) on linguistic tasks. 2. to identify which types of models fail to predict brain activity in a meaningful way, in order to derive a "set of neural computations" needed for the prediction of brain activity. The majority of the analyses will be based on publicly available data. Some analyses will be based on data already acquired by Ga?l Jobard. Because language models such as Transformers evolve rapidly, we will adapt the mechanisms sought and data analysed according to the advances of language models. For example, it seems that new multimodal models (e.g. taking into account images and language simultaneously) will be available soon. In such case, we will exploit these models and also analyse corpora containing images. Indeed, this may allow us to get closer to human representations that are multimodal in nature, while mitigating the "symbol grounding problem" [Harnad, 1990] that applies to purely linguistic models such as ChatGPT. The hired postdoc will collaborate with other PhD students in the team. If time permits, in parallel to the data analysis, the postdoc will set up an experimental protocol in fMRI with the experimental means available to Ga?l Jobard. # Required Knowledge and background - Good background in computational neuroscience, computer science, physics and/or mathematics; - A strong interest for neuroscience, linguistics and the physiological processes underlying learning; - Python programming with experience with scientific libraries Numpy/Scipy (or similar programming language: matlab, etc.); - Experience in machine learning or data mining; - Experience in neural imaging data; - Independence and ability to manage a project; - Good English reading/speaking skills. # Advisors Xavier Hinaut & Ga?l Jobard This work will be co-supervised with Ga?l Jobard also at the Institute for Neurodegenerative diseases (Institut des Maladies Neurod?g?n?ratives ? IMN ?, Pellegrin Hospital Campus, Bordeaux). # Other positions Other open positions are available here: https://github.com/neuronalX/phd-and-postdoc-positions Best regards, Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy From franrruiz87 at gmail.com Mon Apr 24 19:13:54 2023 From: franrruiz87 at gmail.com (=?UTF-8?Q?Francisco_J=2E_Rodr=C3=ADguez_Ruiz?=) Date: Tue, 25 Apr 2023 01:13:54 +0200 Subject: Connectionists: ICBINB Monthly Seminar Series Talk: Bastian Rieck 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 *Bastian Rieck** (**Helmholtz Munich**)*. 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: *May 4th, 2023 at 4pm CEST / 10am EDT *Where: *RSVP for the Zoom link here: https://us02web.zoom.us/meeting/register/tZMuduqqrDktHdEWPaQsDL6uS-wdGF1jCt3j *Title:* *What?s in a Graph?* *Abstract:** Graph learning is one of the most rapidly-growing subfields of machine learning research. With a deluge of different architectures available, one may get the impression that *anything* can be modelled as a graph. However, for some data sets, it turns out that structural features are not driving predictive performance, and the existence of edges may not even be beneficial for generalisation. These puzzling findings lead me to ponder new directions for our field and raise awareness about *how* we work with data.* *Bio:** Bastian Rieck is the Principal Investigator of the AIDOS Lab at the Institute of AI for Health and the Helmholtz Pioneer Campus of Helmholtz Munich, focusing on topology-driven machine learning methods in biomedicine. He also has the honour to be a TUM Junior Fellow and a member of ELLIS. Previously, Rieck was a senior assistant in the Machine Learning & Computational Biology Lab of Prof. Dr. Karsten Borgwardt at ETH Z?rich. He obtained his Ph.D. in computer science from Heidelberg University, which is also where he got his master?s degree in mathematics.* For more information and for ways to get involved, please visit us at http://icbinb.cc/, Tweet to us @ICBINBWorkhop , or email us at cant.believe.it.is.not.better at gmail.com. -- Best wishes, The ICBINB Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From loizos at ouc.ac.cy Mon Apr 24 17:23:06 2023 From: loizos at ouc.ac.cy (Loizos Michael) Date: Mon, 24 Apr 2023 21:23:06 +0000 Subject: Connectionists: CFP: Diversity-Aware Hybrid Human-Artificial Intelligence / Workshop, Shared Task, Special Issue / Deadline: May 15th Message-ID: Dear colleagues, The increased exposure to diversity through social media and the Internet has not necessarily come with new instruments and skills to deal with it. To facilitate the discussion on how technological systems can be improved towards empowering richer and deeper social interactions through diversity-aware Artificial Intelligence, we are organizing a workshop on June 26-27, in conjunction with the 2nd International Conference on Hybrid Human Artificial Intelligence (HHAI 2023). As part of the Diversity-Aware Hybrid Human-Artificial Intelligence workshop, we are soliciting short papers / extended abstracts on interdisciplinary work with a focus on human involvement and on how to develop meaningful paradigms of AI-enabled human-human interactions, human-AI interactions, and human-centered AI-AI interactions. A non-exhaustive list of relevant disciplines and subdisciplines is: Agents and Multi-Agent Systems, Ethics, HCI, Knowledge Representation, Machine Learning, Ontologies, Privacy, Psychology, Social Computing, Social Psychology, Social Sciences. (more information here: https://www.internetofus.eu/diversity-aware-hybrid-human-artificial-intelligence-dhhai/) A special session will also take place, focusing on empirical work that analyzes data made available as part of a shared task. (more information here: https://www.internetofus.eu/empirical-studies-on-hybrid-human-artificial-intelligence-ehhai/) Submission Information: papers due by May 15th, through EasyChair: https://easychair.org/conferences/?conf=dhhai2023 Publication of Workshop papers and Journal Special Issue: Accepted workshop papers and shared-task papers will be published in the HHAI 2023 CEUR workshop post-proceedings. Extended versions of selected workshop papers and shared-task papers will be invited to a special issue of AI Communications: The European Journal on AI. (more information here: https://www.internetofus.eu/ai-communications-the-european-journal-on-ai-special-issue-on-diversity-aware-hybrid-human-artificial-intelligence/) Regards, Loizos -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Tue Apr 25 04:14:22 2023 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Tue, 25 Apr 2023 10:14:22 +0200 Subject: Connectionists: Last Call for nominations for the Valentin Braitenberg Award Message-ID: <5d6f95af-ae2a-7f70-7aae-dcad1091b12a@fz-juelich.de> Last Call for nominations for the Valentin Braitenberg Award ____________ Since 2012, the Bernstein Network Computational Neuroscience awards the Valentin Braitenberg Award every two years, which honors outstanding scientific achievements in the field of computational neuroscience. Following Braitenberg?s scientific tradition, special attention is paid to theoretical studies that reveal the functional significance of brain structures and their neuronal network dynamics. The award ceremony Further information: https://bernstein-network.de/en/network/awards-and-initiatives/valentin-braitenberg-award We welcome nominations for the Valentin Braitenberg Award for Computational Neuroscience 2023 until April 30, 2023. The award will be presented at the Bernstein Conference 2023 in Berlin. _____________ Award criteria: The major criterion for the selection of the awardee is the impact of the recipient?s research on the neurosciences. In the spirit of Valentin Braitenberg?s research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The crucial work should preferentially have been carried out in a European institution. ________________ Nominations: Nominations may be submitted by scientists working in the field of Computational Neuroscience and should include the following documents: * One-page laudation, in which the scientific work of the candidate is honored with regard to the award?s criteria * CV and list of publications Please send the nomination documents via e-mail to Dr. Alexandra Stein, a.stein at fz-juelich.de, (Head of Bernstein Coordination Site). _________________ Former award winners: * Eve Marder * Wulfram Gerstner * David Willshaw * Alexander Borst * Moshe Abeles Dr. Alexander Lammers Press and Public Relations Bernstein Network Computational Neuroscience Bernstein Coordination Site Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9a | 79104 Freiburg | Germany Phone: +49 761 203-96787 Mail: a.lammers at fz-juelich.de Web: www.bernstein-network.de LinkedIn: Bernstein Network Computational Neuroscience Twitter: BernsteinNeuro Mastodon: BernsteinNetwork at mastodon.world ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From georg.martius at tuebingen.mpg.de Tue Apr 25 11:35:09 2023 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Tue, 25 Apr 2023 17:35:09 +0200 Subject: Connectionists: CFP: IMOL 2023 -- Intrinsically-Motivated Open-ended Learning Message-ID: <264fd26a-fc96-6fe8-07d8-246d913c64d1@tuebingen.mpg.de> Dear Colleagues, We are pleased to announce the **Sixth International Workshop on Intrinsically-Motivated Open-ended Learning (IMOL2023)**, which will be held at the Science campus of **Sorbonne University (Pierre et Marie Curie), in Paris center** (France) on *September 13-15th 2023*. Following the five previous workshops, IMOL 2023 will further explore the advancements of intrinsically motivated open-ended lifelong learning. The workshop aims to be a highly interactive event with high-profile keynote presentations and the participation of an audience of about 60 people. It will foster close interaction among the participants with discussions, poster sessions, and collective round tables directed towards specific objectives. **Participating in IMOL2023** Participation in the workshop is free of charge but, given the specific nature of the meeting, is limited to a restricted number of people. Prospective attendees should submit either a brief statement of motivation or (preferably) an abstract to be presented as a poster or contributed talk. **Important Dates:** Abstract submission and registration deadline: **July 10, 2023** (instructions at https://imolconf2023.github.io/) Conference dates: **13th to the 15th of September 2023** Topics of interest involve open-ended lifelong learning in autonomous agents and robots, for example: Autonomous robot open-ended learning Architectures for open-ended learning Multi-task reinforcement learning Deep reinforcement learning Intrinsic motivations Curriculum learning Goal self-generation Open-ended development Quality Diversity methods Multiple task solution and parameterized skills Neural/probabilistic representations and abstractions Goal-based skill learning Knowledge transfer and avoidance of catastrophic forgetting Compositionality and chunking Abstraction and hierarchies of goals and skills Visual planning and problem solving Mitigating risks of real-world deployment of open-ended learning systems Language-based reinforcement learning Confirmed Speakers - Richard Duro, Universidad Coru?a - Olivier Sigaud, Sorbonne University - Matej Hoffmann, Czech Technical University - Gianluca Baldassarre, Italian National Research Council (CNR) - Junyi Chu, MIT - Emre Ugur, Bogazici University - Fei Xu, UC Berkeley - Jeff Clune, University of British Columbia - Sylvain Calinon, IDIAP/EPFL - Pierre-yves Oudeyer, INRIA - Tamim Asfour, KIT The organizers of IMOL?23: St?phane Doncieux Georg Martius Sao Mai Nguyen Emre Ugur Johann Huber -- ----------------------------------------------------------------- Dr. Georg Martius Phone: +49 7071 601 1719 Office: N-1.015/1 (floor minus one) Group Leader Autonomous Learning Group Max Planck Institute for Intelligent Systems Max-Planck-Ring 4, 72076 Tuebingen, Germany From michel.verleysen at uclouvain.be Tue Apr 25 10:41:08 2023 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Tue, 25 Apr 2023 14:41:08 +0000 Subject: Connectionists: ESANN 2023 - extended deadline for submissions Message-ID: ESANN 2023 - 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium and online, 4-5-6 October 2023 https://www.esann.org Extended deadline for submissions Due to numerous requests the deadline to submit papers to the ESANN 2023 conference has been extended to May 5, 2023. Please note that no further extension will be given. Looking forward to seeing you at ESANN 2023, 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 chz8 at aber.ac.uk Tue Apr 25 12:03:01 2023 From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff)) Date: Tue, 25 Apr 2023 16:03:01 +0000 Subject: Connectionists: SPECIES Scholarships: Call for Host Institutions (Deadline: 15/05/2023) Message-ID: <37E264D8-1468-4E41-A787-8E5F10C952B3@aber.ac.uk> We are very happy to announce the start of the 4th round of SPECIES scholarships which has funded 16 successful research collaborations so far. The scholarships are aimed at current research students and recent PhD graduates. They involve an in-person internship of three months in one of the listed host institutions, working under the supervision of an advisor. The recipients of the scholarships will receive an allowance of 900 euros per month as contribution towards accommodation and living expenses during the research visit. As last year, applications for host institutions and candidates will be opened in a two-stage process. The call for project proposals by host institutions is now open (Deadline: 15/05/2023). Applications for candidates will open on 22/05/2023 (Deadline: 30/06/2023). We will publish a full list of hosts and their projects before candidate applications open. More information including conditions of the scholarships and details on how to apply can be found on the SPECIES website: https://species-society.org/scholarships-2023/ Email: students at species-society.org ---------------------------------------------------------------------------------------------------------------------- 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 marcin at amu.edu.pl Tue Apr 25 16:03:37 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 25 Apr 2023 22:03:37 +0200 Subject: Connectionists: CALL FOR SOLUTIONS --> DATA MINING COMPETITION --> 1000 USD --> Web of Science Publication --> June 2 deadline In-Reply-To: References: Message-ID: <48298da6-4147-91e1-dbaa-6d36afed5a30@amu.edu.pl> CALL FOR SOLUTIONS --> DATA MINING COMPETITION https://fedcsis.org/sessions/aaia/dm FedCSIS 2023 Challenge: Cybersecurity Threat Detection in the Behavior of IoT Devices is the 9th data science competition in the series. This year, the task is related to cybersecurity ? participants will construct scoring models to detect anomalous operating system behavior of IoT devices under attack. The challenge is sponsored by ?ukasiewicz Research Network ? Institute of Innovative Technologies EMAG and EFIGO sp. z o.o. companies. The competition is held at the KnowledgePit online platform managed by QED Software ? the company which is specialized in the development and deployment of innovative AI / ML / Big Data products and solutions. Submit your solution: https://knowledgepit.ai/fedcsis-2023-challenge/ AWARDS: Authors of the top-ranked solutions (based on the final evaluation scores) will be awarded prizes funded by the Sponsors: + 1000 USD for the winning solution + 600 EUR for one FedCSIS 2023 registration + 500 USD for the 2nd place solution + 600 EUR for one FedCSIS 2023 registration + 250 USD for the 3rd place solution + 600 EUR for one FedCSIS 2023 registration SCHEDULE: - June 2, 2023 (23:59 GMT): deadline for submitting the predictions - June 4, 2023 (23:59 GMT): deadline for sending the reports, end of the competition - June 09, 2023: online publication of the final results, sending invitations for submitting short papers for the special session at FedCSIS'23 - July 09, 2023: deadline for submitting invited papers - July 16, 2023: notification of paper acceptance - July 28, 2023: camera-ready of accepted papers, and registration for the conference are due CONTEXT: Competition is organized within the scope of the 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023; IEEE #57573) Warsaw, Poland, 17?20 September, 2023 https://www.fedcsis.org/ From decebalmocanu at gmail.com Tue Apr 25 05:06:53 2023 From: decebalmocanu at gmail.com (Decebal Mocanu) Date: Tue, 25 Apr 2023 11:06:53 +0200 Subject: Connectionists: PhD position in Sparse Training and Deep Neural Networks Message-ID: Dear colleagues, We are happy to announce an open *4-years PhD position* with employee status on the theoretical and practical aspects of sparse-to-*sparse training* for artificial neural networks at the *University of Luxembourg*. The concrete PhD topic is flexible. More details and the application procedure can be found here (the application deadline is *15 May 2023*): - https://recruitment.uni.lu/en/details.html?nPostingId=83876&nPostingTargetId=122636 Best wishes, Decebal ================================= Decebal Mocanu Associate Professor in Machine Learning Department of Computer Science University of Luxembourg -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Apr 26 09:37:37 2023 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 26 Apr 2023 15:37:37 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS=2C=2C18th_Conference_on?= =?utf-8?q?_Information_Systems_Management_=28ISM=E2=80=9923=29_--_IEEE=3A?= =?utf-8?q?_=2357573_--_Web_of_Science?= In-Reply-To: <97e3a329-cdcf-602a-d373-b56527586a49@ibspan.waw.pl> References: <97e3a329-cdcf-602a-d373-b56527586a49@ibspan.waw.pl> Message-ID: <1c64e2b4-a465-bb9c-a4c5-720483e7f565@amu.edu.pl> CALL FOR PAPERS 18th Conference on Information Systems Management (ISM?23) Warsaw, Poland, 17?20 September, 2023 https://fedcsis.org/sessions/itbs/ism Organized within FedCSIS 2023 (IEEE: #57573) Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions) KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 70 punkt?w parametrycznych MEiN Please feel free to forward this announcement to your colleagues and associates who could be interested in it. ********************* Statement concerning LLMs ********************* Recognizing developing issue that affects all academic disciplines, we would like to state that, in principle, papers that include text generated from a large-scale language model (LLM) are prohibited, unless the produced text is used within the experimental part of the work. ********************************************************************* This event constitutes a forum for the exchange of ideas for practitioners and theorists working in the broad area of information systems management in organizations. The conference invites papers coming from three complimentary directions: management of information systems in an organization, uses of information systems to empower managers, and information ssytems for sutainable development. The conference is interested in all aspects of planning, organizing, resourcing, coordinating, controlling and leading the management function to ensure a smooth operation of information systems in organizations. Moreover, the papers that discuss the uses of information systems and information technology to automate or otherwise facilitate the management function are specifically welcome. Papers about the influence of information systems on sustainability are also expected. Topics The areas and topics of interest include, but are not limited to two groups: + Management of Information Systems in an Organization: * Modern IT project management methods * User-oriented project management methods * Business Process Management in project management * Managing global systems * Influence of Enterprise Architecture on management * Effectiveness of information systems * Efficiency of information systems * Security of information systems * Privacy consideration of information systems * Mobile digital platforms for information systems management * Cloud computing for information systems management + Uses of Information Systems to Empower Managers * Achieving alignment of business and information technology * Assessing business value of information systems * Risk factors in information systems projects * IT governance * Sourcing, selecting and delivering information systems * Planning and organizing information systems * Staffing information systems * Coordinating information systems * Controlling and monitoring information systems * Formation of business policies for information systems * Portfolio management, * CIO and information systems management roles + Information Systems for Sustainability * Sustainable business models, financial sustainability, sustainable marketing * Qualitative and quantitative approaches to digital sustainability * Decision support methods for sustainable management Submission rules: - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions. - Extended versions of selected papers presented during the ISM'2023 conference will be published in Lecture Notes in Business Information Processing series (LNBIP, Springer). - ?The Best Paper? award will be granted to the outstanding quality paper presented at ISM'2023. Important dates: + Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension) + Position paper submission: June 7, 2023 + Author notification: July 11, 2023 + Final paper submission and registration: July 31, 2023 + Payment (early fee deadline): July 26, 2023 ISM Committee: https://fedcsis.org/sessions/itbs/ism/committee From c.dovrolis at cyi.ac.cy Wed Apr 26 15:22:19 2023 From: c.dovrolis at cyi.ac.cy (Constantine Dovrolis) Date: Wed, 26 Apr 2023 19:22:19 +0000 Subject: Connectionists: Faculty position (open rank) at THE CYPRUS INSTITUTE Message-ID: Closing Date: June 11, 2023 The Cyprus Institute (CyI) is a European non-profit Science and Technology oriented Educational and Research Institution based in Cyprus and led by an acclaimed Board of Trustees. The research agenda of the CyI is pursued at its five Research Centres: The Computation-based Science and Technology Research Centre (CaSToRC), the Science and Technology in Archaeology and Culture Research Centre (STARC), the Energy Environment Water Research Centre (EEWRC), the Climate and Atmosphere Research Centre (CARE-C), and the Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC). Considerable cross-centre interaction is a characteristic of the Institute?s culture. The Cyprus Institute (CyI) invites applications for a new faculty member at the level of Assistant, Associate or Full Professor in the broader area of computational science and technology. This is a well-established research area at CyI, and it includes experts in Machine Learning, Computational Modeling, and High-Performance Computing. The selected faculty applicant will enhance the competencies of the Institute in applied data science, and in particular in ?big data? analytics, data mining, and information/knowledge retrieval. Preference will be given to candidates with expertise in applying these areas in scientific and engineering areas, and with experience in the utilization of advanced computing technologies such as HPC and/or cloud computing. Priority in consideration for hiring will be given to the highest rank where qualified applicants are identified. Applicants should specify for which ranks they want to be considered. The selected applicant will implement and advance the research agenda of the Institute in general and of CaSToRC in particular in close collaboration with faculty, research staff and the leadership of CyI. As a faculty member, an aptitude and/or experience in mentoring and teaching Doctoral and Master?s students is necessary as the successful candidate will be expected to actively contribute to the Institute?s graduate program. The candidate will work in Cyprus and will be offered a tenured or tenure-track position and an attractive salary and benefits package depending on the level of experience. For more details, please see: https://onlinerecruitment.exelsyslive.com/?c=6E7274A2-8EBA-4BEA-905B-06F790EEB566&v=2023/0166 Best regards, Constantine Dovrolis Professor and Director of CaSToRC ? The Cyprus Institute ? www.cyi.ac.cy -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladan at temple.edu Wed Apr 26 15:24:40 2023 From: vladan at temple.edu (Vladan Radosavljevic) Date: Wed, 26 Apr 2023 19:24:40 +0000 Subject: Connectionists: CfP - AdKDD @ KDD 2023 Message-ID: Call for Workshop Papers AdKDD 2023 in conjunction with The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023) Long Beach, CA, August 6th-10th, 2023 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 $550B global market size in 2022, and expected to pass $800B by 2026, digital advertising has already surpassed traditional ads in global spend and continues to grow despite economic headwinds. Digital advertising and in particular computational advertising is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads connect us to opportunities to enrich our lives and creep us out when done badly. Recently at the forefront of political battles between governments, large multinational corporations, and consumers, digital advertising remains a dynamic industry and research area. 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 from simple rule-based ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences within native, video, and display formats on mobile devices, connected TV, and audio?all utilizing data amassed from petabytes of stored user data collected increasingly through inferred identity providers. Increasing use of sequence models and the rise of Generative AI is spawning new directions such as auto-generation of ad creatives or pay-for-use shopping assistants. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of sixteen 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 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 archived on the AdKDD website, and we are also working on having them published in official proceedings as well. 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 (anywhere on Earth): Submission : May 28th, 2023 Decisions : June 13th, 2023 Camera-ready : June 20th, 2023 Video Submission: July 24, 2023 Workshop : August 7th, 2023 Submission Website: https://easychair.org/conferences/?conf=adkdd2023 Program Committee Chairs: Abraham Bagherjeiran (eBay) Nemanja Djuric (Aurora Innovation) Kuang-chih Lee (Alibaba) Linsey Pang (Walmart Labs) Vladan Radosavljevic (Spotify) Suju Rajan (Amazon) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Apr 27 03:07:14 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 27 Apr 2023 10:07:14 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Martin_Cooke?= =?utf-8?q?=3A_=22Who_needs_big_data=3F_Listeners=E2=80=99_adaptati?= =?utf-8?q?on_to_extreme_forms_of_variability_in_speech=22=2C_4_May?= =?utf-8?q?_2023=2C_15=3A00_CET?= References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr> <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr> <01bb01d8d3c7$e30ad440$a9207cc0$@csd.auth.gr> <004301d8d3df$32189830$9649c890$@csd.auth.gr> <01f801d90491$e300a6a0$a901f3e0$@csd.auth.gr> <005601d9049a$e6235450$b269fcf0$@csd.auth.gr> <0be601d93d20$8e207580$aa616080$@csd.auth.gr> <00b601d93d24$03426460$09c72d20$@csd.auth.gr> <151301d94c22$3d162200$b7426600$@csd.auth.gr> <00a001d94c25$1900e410$4b02ac30$@csd.auth.gr> <36ad01d971d5$7ad08940$70719bc0$@csd.auth.gr> <008201d972b0$795367a0$6bfa36e0$@csd.auth.gr> Message-ID: <6145e01d978d6$e57a43f0$b06ecbd0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Martin Cooke, a prominent AI researcher internationally, will deliver the e-lecture: ?Who needs big data? Listeners? adaptation to extreme forms of variability in speech?, on May 4th, 2023 15:00 CET, see details in: http://www.i-aida.org/ai-lectures/ LINK and more Info: https://www.hitz.eus/en/webinars If you want to attend the next webinar, please complete this form and you will receive the link. Attendance is free. 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) 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. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, , J. Stefanowski Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincentthunder2011 at gmail.com Wed Apr 26 21:11:50 2023 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Thu, 27 Apr 2023 09:11:50 +0800 Subject: Connectionists: IEEE Communications Magazine Call for Papers - Special Issue on Social-aware Communication Networks and Systems and Innovative Social Network Applications and Services Message-ID: *IEEE Communications Magazine Call for Papers* *Special Issue on Social-aware Communication Networks and Systems and Innovative Social Network Applications and Services* *Call for Papers* Social network analysis has been an active area of research for several decades. ?t has recently though gained a big momentum with the booming popularity of social media, the proliferation of mobile devices and advancement of their capabilities and the semantically enriched user interactions that have exponentially grown, especially during the long-lasting COVID-19 pandemic. In general, social entities with close relationships (family, friends), sharing similar interests or belonging within the same community, tend to interact more often, more regularly and for longer periods than others, carrying with them an inherent concept of trust. Representing social interactions using directed or undirected graphs with nodes and edges carrying weight and different types of information, researchers have been able to identify users within certain circles of trust / distrust (friends, friends of friends, distrusted entities, friends of distrusted entities, etc.), communities of users sharing similar interests, the most influential users and information / influence flows, and to develop recommender system for users and content. The social dimension, however, cannot be separated from the spatial one: physical proximity affects relations between users, making social ties establishment more likely to succeed. Thus, online social networks and offline social interactions (mostly following users? mobility patterns) in the physical world can play a crucial role in a multitude of areas. As a result of the aforementioned considerations, social networks have attracted interest from researchers across multiple disciplines and for a wide range of challenges. Without being exhaustive: developing social-aware networking algorithms for improving various networking operations (most notably routing and information forwarding, resource allocation, content placement/caching/sharing etc.), identifying graph topology structure as well as its evolution, along with information / influence paths for maximizing the impact of information dissemination (with advertisements for new products and services in marketing being a direct application area) and exploring decision making process in a social psychology context (with the Internet of Behaviors forming a new concept to be explored), designing incentive mechanisms for promoting cooperation and establishing trust in order to address security concerns (mostly concerning open, uncertain, highly dynamic and potentially competitive environments, such as Internet of Things). These challenges have often been addressed with the help of emerging informatics and communication technologies such as artificial intelligence (AI), big data analysis, and blockchain. The aim of this Feature Topic (FT) is to attract original works discussing the state-of-the-art and setting future directions in the area of social-aware networks and advanced applications in the following topical areas. Prospective authors are invited to submit articles on topics including, but not limited to: - Graph modeling, learning/prediction, social network evolution with application in social-aware networks / systems and advanced applications; simulations, experiments - Recommender systems, community detection with application in social-aware networks / systems and advanced applications - Influence, trust, information propagation & evolution with application in social-aware networks / systems and advanced applications - Detection and mitigation of echo chambers, polarization, radicalization and other societal challenges exacerbated by social media platforms with application in social-aware networks / systems and advanced applications - Platforms, algorithms, systems and techniques integrating AI/blockchain/big data with social networking - Social-aware traffic management - Social-aware network infrastructure - Social-by-engineering design in 6G - Social-aware networking algorithms, techniques and social-aware communication systems - Internet of Things (IoT), Social-IoT, Internet of Behavior (IoB), Social Cyber-Physical Systems, Internet of People - Social sensing - Location-based social networks, user activity modeling and exploitation, mobility and behavior data mining - Advanced Innovative social network related applications and services - Multidisciplinary and interdisciplinary research on social networks for social-aware networking and advanced applications *Submission Guidelines* Manuscripts should conform to the standard format as indicated in the Information for Authors section of the Manuscript Submission Guidelines . Please, check these guidelines carefully before submitting since submissions not complying with them will be administratively rejected without review. All manuscripts to be considered for publication must be submitted by the deadline through Author Portal . Select the ?FT-2227 / Social-aware communication networks and systems? topic from the drop-down menu of Topic/Series titles. Please observe the dates specified here below noting that there will be no extension of submission deadline. *Important Dates* Manuscript Submission Deadline: 30 April 2023 Decision Notification: 30 July 2023 Final Manuscript: 30 September 2023 Publication: Fourth Quarter 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Thu Apr 27 10:31:19 2023 From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=) Date: Thu, 27 Apr 2023 14:31:19 +0000 Subject: Connectionists: CfP: Verifying Learning AI Systems Workshop (VeriLearn @ ECAI'23) Message-ID: We would like to announce the call for papers for the Verifying Learning AI Systems Workshop @ ECAI'23 Workshop's Scope While there is no uniformly agreed-upon definition of what constitutes safe or trustworthy AI, it is clear that such systems should exhibit certain properties. For example, systems should be robust to minor perturbations to their inputs and there should be some transparency about how a system arrives at a prediction or decision. More importantly, it is becoming increasingly common for deployed AI models to have to conform to requirements (e.g., legal) and/or exhibit specific properties (e.g., fairness). That is, it is necessary to verify that a model complies with these requirements. In the software engineering community, verification has been long studied with the goal of assuring that software fully satisfies the expected requirements. Therefore, a key open question in the quest for safe AI is how verification and machine learning can be combined to provide strong guarantees about software that learns and that adapts itself on the basis of past experience? Finally, what are the boundaries of what can be verified, and how can and should system design be enhanced by other mechanisms (e.g., statistics on benchmarks, procedural safeguards, accountability) to produce the desired properties? The goal of the Verifying Learning AI Systems (VeriLearn) workshop is to bring together researchers interested in these questions. The workshop will be held in conjunction with the 26th European Conference on Artificial Intelligence, which will take place in Krakow Poland. https://dtai.cs.kuleuven.be/events/VeriLearn2023 Topics of Interest This workshop solicits papers on the following non-exhaustive list of topics: * Representations and languages that facilitate reasoning and verification. * Applications and extensions of software verification techniques in the context of machine learning. * Verifying safety in dynamic systems or models. * Reasoning about learned models to assess, e.g., their adherence to requirements. * Learning models that are safe by design. * Assessing the robustness of AI systems. * Ways to evaluate aspects of AI systems that are relevant from a trust and safety perspective. * Out of distribution detection and learning with abstention. * Certification methodologies for AI systems. * Concepts, approaches, and methods for identifying and dealing with the limits of verifiability. * Approaches and case studies where verification is important for addressing ethical, privacy and societal concerns about AI. * Case studies showing illustrative applications where verification is used to tackle issues related to safety and trustworthiness. Submission Instructions and Dates We solicit two types of papers: - Long papers can be a maximum of 6 pages of content and an unlimited number of references in the ECAI 2023 formatting style and should report on novel, unpublished work that might not be quite mature enough for a conference or journal submission. - Extended abstracts can be 2 pages in ECAI formatting style and summarize recent publications fitting the workshops. Submissions should be anonymous. Papers are to be submitted in pdf format at https://cmt3.research.microsoft.com/VeriLearn2023 Paper submission deadline: 20/06/2023 @ 23:59pm CET *Contact* Jesse Davis (firstnamelastname at kuleuven.be) *Organizers* * Jesse Davis, KU Leuven, * Bettina Berendt, TU Berlin, director of the Weizenbaum Institute for the Networked Society, KU Leuven * Hendrik Blockeel, KU Leuven * Luc De Raedt, KU Leuven * Benoit Frenay, University of Namur * Fredrik Heintz, Link?ping University * Jean-Francois Raskin, Universit? 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For more information and the on-line application form, see The 2023 NEURON Summer Course --Ted -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Thu Apr 27 11:10:05 2023 From: cgf at isep.ipp.pt (Carlos) Date: Thu, 27 Apr 2023 16:10:05 +0100 Subject: Connectionists: CFP: Learning from Temporal Data (LearnTeD) - DSAA 2023 Message-ID: ---------------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- CALL FOR PAPERS Learning from Temporal Data (LearnTeD) special session of the 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2023) October 9-13, 2023, Thessaloniki, Greece Website link: https://dsaa2023.inesctec.pt/ ---------------------------------------------------------------------------------------- Aims and Scope ---------------------------------------------------------------------------------------- Temporal information is all around us. Numerous important fields, including weather and climate, ecology, transport, urban computing, bioinformatics, medicine, and finance, routinely work with temporal data. Temporal data present a number of new challenges, including increased dimensionality, drifts, complex behavior in terms of long-term interdependence, and temporal sparsity, to mention a few. Hence, learning from temporal data requires specialized strategies that are different from those used for static data. Continuous cross-domain knowledge exchange is required since many of these difficulties cut over the lines separating various fields. This special session aims to integrate the research on learning from temporal data from various areas and to synthesize new concepts based on statistical analysis, time series analysis, graph analysis, signal processing, and machine learning. The scope of the special session includes but is not limited to the following: - Temporal data clustering - Classification and regression of univariate and multivariate time series - Early classification of temporal data - Deep learning for temporal data - Learning representation for temporal data - Metric and kernel learning for temporal data - Modeling temporal dependencies - Time series forecasting - Time series annotation, segmentation, and anomaly detection - Spatial-temporal statistical analysis - Functional data analysis methods - Data streams - Interpretable/explainable time-series analysis methods - Dimensionality reduction, sparsity, algorithmic complexity, and big data challenges - Benchmarking and assessment methods for temporal data - Applications, including transport, urban computing, weather and climate, ecology, bio-informatics, medical, and energy consumption on temporal data ---------------------------------------------------------------------------------------- Submission procedure ---------------------------------------------------------------------------------------- All papers should be submitted electronically via EasyChair (under the ?Special Session? Track): https://easychair.org/my/conference?conf=dsaa2023 The length of each paper submitted to the Research tracks should be no more than ten (10) pages and should be formatted following the standard 2-column U.S. letter style of the IEEE Conference template. For further information and instructions, see the IEEE Proceedings Author Guidelines. All submissions will be blind-reviewed by the Program Committee on the basis of technical quality, relevance to the conference?s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors? anonymity will be rejected without reviews. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA?2023. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to the DSAA?2023 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper?s title and abstract are different from the one appearing in arXiv. All accepted full-length special session papers will be published by IEEE in the DSAA main conference proceedings under its Special Session scheme. All papers will be submitted for inclusion in the IEEEXplore Digital Library. We are organizing a special issue to further publish the extended journal versions of selected papers. Information about this will be posted soon. ---------------------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------------------- Paper Submission Deadline: May 22, 2023 Paper Notification: July 17, 2023 Camera-ready Submission: August 7, 2023 ---------------------------------------------------------------------------------------- Organizing Committee ---------------------------------------------------------------------------------------- ---------------------- Track Chairs ---------------------- Albert Bifet, Waikato University, New Zealand Jo?o Mendes Moreira, University of Porto & LIAAD-INESC TEC, Portugal Joydeep Chandra, Indian Institute of Technology Patna, India ---------------------- Program Committee ---------------------- Animesh Chaturvedi, IIIT Dharwad, India Balaraman Ravindran, IIT Madras, India Bivas Mitra, IIT Kharagpur, India Carlos Abreu Ferreira, INESC TEC, Portugal Debraj Das, IIT Bombay, India Heitor Murilo Gomes, Victoria University of Wellington, New Zealand Ingo Scholtes, University of W?rzburg, Germany Maria Eduarda Silva, Universidade do Porto, Portugal Mirco Nanni, ISTI-CNR, Italy Nuno Moniz, University of Notre Dame, USA Paulo Cortez, Universidade do Minho, Portugal Raquel Menezes, Universidade do Minho, Portugal Rita Ribeiro, Universidade do Porto, Portugal Sourangshu Bhattacharya, IIT Kharagpur, India Srijith P.K., IIT Hyderabad, India Vitor Cerqueira, Dalhousie University, Canada ---------------------- Publicity Chairs ---------------------- Carlos Abreu Ferreira, Instituto Polit?cnico do Porto, Portugal Shruti Saxena, Indian Institute of Technology Patna, India ---------------------- Contacts ---------------------- Organizing Committee Contact Person: jmoreira at fe.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 z.tan.phd at ieee.org Fri Apr 28 01:52:44 2023 From: z.tan.phd at ieee.org (Zhiyuan Tan) Date: Fri, 28 Apr 2023 06:52:44 +0100 Subject: Connectionists: 2nd CfP: EAI BDTA 2023 Message-ID: Dear colleagues, Sorry for the cross-posting. This is the 2nd CfP for EAI BDTA 2023 ------ EAI BDTA 2023: The 13th EAI International Conference on Big Data Technologies and Applications Edinburgh, UK, 23-24 August 2023 Conference website: https://infoscale.eai-conferences.org/2023/ Submission link: https://infoscale.eai-conferences.org/2023/submission/ *Submission Deadline: **30 April 2023**The timezone of Important Dates is AoE (Anywhere on the Earth) 23:59:59pm.* The 13th EAI International Conference on Big Data Technologies and Applications will be held in Edinburgh, the United Kingdom. This conference provides a leading forum for the presentation of new advances and research results in the fields of big data technologies and applications. The conference will bring together leading researchers, businessmen, and scientists in the domain of interest from around the world. == Keynotes == *- Professor Huiyu Zhou,* University of Leicester, Title: TBA *- Professor Jungong Han, *University of Sheffield, Title: TBA == Best Paper Award == Three Best Paper Awards will be selected by the Technical Program Committee and the Authors will be awarded a Certificate by EAI. 1. REGULAR/FULL PAPER 2. SHORT PAPER 3. STUDENT'S PAPER == Special Issues == Selected papers will be invited to submit an extended version of their work to the journal special issues: Mobile Networks and Applications (MONET) EAI Endorsed Transactions on Scalable Information Systems (Open Access) EAI/Springer Innovations in Communications and Computing Book Series == Submission Guidelines == - Papers should be in English. - Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review. - The paper submissions must follow the Springer formatting guidelines (see Author?s kit section on https://infoscale.eai-conferences.org/2023/submission/). - Read the Publication Ethics and Malpractice Statement. Papers should be submitted through EAI ?Confy+? system, and have to comply with the Springer format (see Author?s kit section). Regular papers should be up to 12-15+ pages in length. Short papers should be 6-11 pages in length. Paper templates can be downloaded from: - LaTeX2e Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_Latex_Template.zip - Microsoft Word Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_DOCX_Template.zip == Objectives, Scope, and Topics == All the topics related to big data techniques, such as big data collection and storage, big data management and retrieval, big data mining approaches, and big data visualization, are in the scope of BDTA 2023. Besides, its applications in all related areas, such as business, education, medicine, management, and health, are also in the scope of BDTA 2023. We welcome contributions from the following fields: Hardware and Software solutions for Big Data Searching, Storing and Management Data Visualization and Visual Analytics Natural Language Processing in Big Texts Biomedical Imaging Pre-processing and Analysis Structured and Unstructured Data Mining Deep Learning Architecture, Representations, Unsupervised and Supervised algorithms Scalable Computational Intelligence Tools Novel Computational Intelligence Approaches for Data Analysis Evolutionary and Bio-inspired Approaches for Big Data Analysis New Domains and Novel Applications Related to Big Data Technologies Educational Data Mining. Learning Analysis Artificial Intelligence in Education. Medical Informatics Information Systems Security Meta Heuristic Optimization Blockchain Technologies == Committees == General Chair Associate Prof. Zhiyuan Tan Edinburgh Napier University, Edinburgh, UK General Co-Chair Prof. Huiyu Zhou University of Leicester, Leicester, UK Technical Program Committee Chairs Associate Prof. Min Xu University of Technology Sydney, Sydney, Australia Dr Yulei Wu University of Exeter, Exeter, UK Technical Program Committee Co-Chair Prof. Wenwu Wang University of Surrey Prof. Ashkan Sami Edinburgh Napier University, Scotland Publicity and Social Media Chair Dr Yanchao Yu Edinburgh Napier University, Edinburgh, UK Workshop Chair Dr Xingjie Wei University of Leeds, Leeds, UK Sponsorship & Exhibit Chair Dr Nour Moustafa University of New South Wales (UNSW) Canberra, Canberra, Australia Publication Chair Prof. Amin Beheshti Macquarie University Sydney, Australia Local Chair Dr Kehinde Babaagba Edinburgh Napier University, Edinburgh, UK == Publication == All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MatchSciNet, Inspec and Zentralblatt MATH. Additional publication opportunities: EAI Transactions series (Open Access) EAI/Springer Innovations in Communications and Computing Book Series (titles in this series are indexed in Ei Compendex, Web of Science & Scopus) == Venue == Edinburgh, United Kingdom == Contact == EAI BDTA 2023 Conference Manager: sara.csicsayova at eai.eu *------* *Dr Zhiyuan (Thomas) Tan* Associate Professor in Cybersecurity | School of Computing | Edinburgh Napier University E-mail: z.tan.phd at ieee.org Website: https://www.napier.ac.uk/people/thomas-tan -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- EAI BDTA 2023: The 13th EAI International Conference on Big Data Technologies and Applications Edinburgh, UK, 23-24 August 2023 Conference website: https://infoscale.eai-conferences.org/2023/ Submission link: https://infoscale.eai-conferences.org/2023/submission/ Submission Deadline: **30 April 2023** The timezone of Important Dates is AoE (Anywhere on the Earth) 23:59:59pm. The 13th EAI International Conference on Big Data Technologies and Applications will be held in Edinburgh, the United Kingdom. This conference provides a leading forum for the presentation of new advances and research results in the fields of big data technologies and applications. The conference will bring together leading researchers, businessmen, and scientists in the domain of interest from around the world. == Keynotes == Professor Huiyu Zhou, University of Leicester, Title: TBA Professor Jungong Han, University of Sheffield, Title: TBA == Best Paper Award == Three Best Paper Awards will be selected by Technical Program Committee and the Authors will be awarded a Certificate by EAI. 1. REGULAR/FULL PAPER 2. SHORT PAPER 3. STUDENT'S PAPER == Special Issues == Selected papers will be invited to submit an extended version of their work to the journal special issues: Mobile Networks and Applications (MONET) EAI Endorsed Transactions on Scalable Information Systems (Open Access) EAI/Springer Innovations in Communications and Computing Book Series == Submission Guidelines == - Papers should be in English. - Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review. - The paper submissions must follow the Springer formatting guidelines (see Author?s kit section on https://infoscale.eai-conferences.org/2023/submission/). - Read the Publication Ethics and Malpractice Statement. Papers should be submitted through EAI ?Confy+? system, and have to comply with the Springer format (see Author?s kit section). Regular papers should be up to 12-15+ pages in length. Short papers should be 6-11 pages in length. Paper templates can be downloaded from: - LaTeX2e Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_Latex_Template.zip - Microsoft Word Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_DOCX_Template.zip == Objectives, Scope, and Topics == All the topics related to big data techniques, such as big data collection and storage, big data management and retrieval, big data mining approaches, and big data visualization, are in the scope of BDTA 2023. Besides, its applications in all related areas, such as business, education, medicine, management, and health, are also in the scope of BDTA 2023. We welcome contributions from the following fields: Hardware and Software solutions for Big Data Searching, Storing and Management Data Visualization and Visual Analytics Natural Language Processing in Big Texts Biomedical Imaging Pre-processing and Analysis Structured and Unstructured Data Mining Deep Learning Architecture, Representations, Unsupervised and Supervised algorithms Scalable Computational Intelligence Tools Novel Computational Intelligence Approaches for Data Analysis Evolutionary and Bio-inspired Approaches for Big Data Analysis New Domains and Novel Applications Related to Big Data Technologies Educational Data Mining. Learning Analysis Artificial Intelligence in Education. Medical Informatics Information Systems Security Meta Heuristic Optimization Blockchain Technologies == Committees == General Chair Associate Prof. Zhiyuan Tan Edinburgh Napier University, Edinburgh, UK General Co-Chair Prof. Huiyu Zhou University of Leicester, Leicester, UK Technical Program Committee Chairs Associate Prof. Min Xu University of Technology Sydney, Sydney, Australia Dr Yulei Wu University of Exeter, Exeter, UK Technical Program Committee Co-Chair Prof. Wenwu Wang University of Surrey Prof. Ashkan Sami Edinburgh Napier University, Scotland Publicity and Social Media Chair Dr Yanchao Yu Edinburgh Napier University, Edinburgh, UK Workshop Chair Dr Xingjie Wei University of Leeds, Leeds, UK Sponsorship & Exhibit Chair Dr Nour Moustafa University of New South Wales (UNSW) Canberra, Canberra, Australia Publication Chair Prof. Amin Beheshti Macquarie University Sydney, Australia Local Chair Dr Kehinde Babaagba Edinburgh Napier University, Edinburgh, UK == Publication == All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MatchSciNet, Inspec and Zentralblatt MATH. Additional publication opportunities: EAI Transactions series (Open Access) EAI/Springer Innovations in Communications and Computing Book Series (titles in this series are indexed in Ei Compendex, Web of Science & Scopus) == Venue == Edinburgh, United Kingdom == Contact == EAI BDTA 2023 Conference Manager: sara.csicsayova at eai.eu From pubconference at gmail.com Thu Apr 27 23:43:02 2023 From: pubconference at gmail.com (Pub Conference) Date: Thu, 27 Apr 2023 23:43:02 -0400 Subject: Connectionists: CFP: ICIST2023, December 8-14, 2023, Cairo, Egypt Message-ID: *Call for Papers* *https://conference.cs.cityu.edu.hk/icist * Sponsor: British University in Egypt Co-Sponsors: City University of Hong Kong and Chongqing Three Gorges University Technical co-sponsor: IEEE Systems, Man and Cybernetics Society The 13th International Conference on Information Science and Technology (ICIST 2023) will be held in Cairo, Egypt during December 8-14, 2023. As a cradle of civilization, the conference site features long historical and rich cultural heritages. Following the successes of previous events, ICIST 2023 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature preconference, tutorials, plenary speeches given by world-renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics and pre-conference tutorials/workshops to warm up the main event. *Call for Papers and Special Sessions* Prospective authors are invited to contribute high-quality papers to ICIST 2023. In addition, proposals for special sessions within the technical scope of the conference are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers on special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICIST 2023. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. *Topic Areas* Topics of contributing papers include, but are not limited to, the following areas: *Computer Science and Engineering* Computer networks, computer vision, pattern recognition, virtual, reality, parallel and distributed computing, high-performance computing, artificial intelligence, computer graphics, big data, cloud computing, database management systems, mobile agent computing, quality of services and communication protocol, mobile computing for e-commerce, cryptography and information security, scientific and engineering computing, hybrid computational methods, data visualization and virtual reality, web- and grid-based computing and simulation, possibility theory, Bayes network and hidden Markov models, computational intelligence, granular computing *Control and Automation* Autonomous systems, linear and nonlinear control, robust control, learning and adaptive control, intelligent control, optimization-based and optimal control, model predictive control, fault detection and identification, hybrid intelligent systems, neural control, fuzzy logic control, networked control, industrial automation, process control, robot control, mechatronic systems, vehicle control systems, intelligent transportation systems, environmental monitoring and control, intelligent manufacturing systems, microprocessor-based control, motor control, power control, vehicle control, aerospace control applications. *Signal Processing and Telecommunications* Adaptive filtering & signal processing, audio/speech processing and coding, compressive sensing and sparse representation, higher-order spectral analysis, nonlinear & blind signal processing, neural signal processing, component analysis, array signal processing, parallel and distributed processing, time series analysis, multimedia signal processing, design and implementation of signal processing systems, DSP Implementations and embedded systems, image and multidimensional signal processing, image processing & understanding, multimedia communications, next-generation wireless/wireline communications, communication signal processing, modulation and channel coding, network coding, sensor networks *Bioinformatics and Biomedical Engineering* Microarray data analysis, gene regulation, network, and pathway analysis, identification and classification of genes, protein structure prediction, next-generation sequencing and metagenomics, protein, DNA/RNA structure, function, and interactions, functional genomics and proteomics, molecular evolution and phylogeny, neuroinformatic, brain-computer interface, clinical engineering, rehabilitation engineering, neural engineering, biomedical signal analysis and modeling, bio-imaging, sensing, and data fusion, biomarker discovery, health informatics, healthcare data acquisition, analysis, and modeling, biomedical data knowledge extraction, biomedical data integration, modeling, and preprocessing, biological data mining, knowledge sharing, visualization, and knowledge utilization, biomedical data mining systems and computing platforms, electronic health record acquisition, analysis, and decision support, high performance computing for biomedical data analysis, smart clinical diagnosis and decision systems *Paper Submission* Authors are invited to submit full-length papers (the nominal number of pages is 10) by the submission deadline through the online submission system. Special session organizers are also invited to enlist six or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take into consideration of the referees' comments and suggestions. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore?s scope and quality requirements. Selected high-quality papers will be included in several journal special issues. *Important Dates* Special session proposals deadline????????????????????????????.July 1, 2023 Paper submission deadline?????????????????????????...????......... August 1, 2023 Notification of acceptance?????????.???????????????...??????..September 1, 2023 Camera-ready copy and author registration??????????????????..??????..?October 1, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICIST2023CFP.pdf Type: application/pdf Size: 365752 bytes Desc: not available URL: From Thanveer.Shaik at usq.edu.au Fri Apr 28 01:56:28 2023 From: Thanveer.Shaik at usq.edu.au (Thanveer Shaik) Date: Fri, 28 Apr 2023 05:56:28 +0000 Subject: Connectionists: Last Call for WISE2023 Conference Message-ID: ++++++++++++++++++++++++++++++++ Call for Papers 24th International Conference on Web Information Systems Engineering (WISE2023) Oct. 25-27 2023, Melbourne, Australia URL: http://www.wise-conferences.org/2023/ ++++++++++++++++++++++++++++++++ Overview The aim of the conference series on Web Information Systems Engineering (WISE) is to provide an international forum for researchers, professionals, and industrial practitioners to share their knowledge and insights in the rapidly growing area of Web technologies, methodologies, and applications. In the past WISE has established itself as a community aiming at high quality research and offering the ground for advancing efforts in topics related to Web information systems. Previous WISE conferences were held in Hong Kong, China (2000), Kyoto, Japan (2001), Singapore (2002), Roma, Italy (2003), Brisbane, Australia (2004), New York, USA (2005), Wuhan, China (2006), Nancy, France (2007), Auckland, New Zealand (2008), Poznan, Poland (2009), Hong Kong, China (2010), Sydney, Australia (2011), Paphos, Cyprus (2012), Nanjing, China (2013), Thessaloniki, Greece (2014), Miami, USA (2015), Shanghai, China (2016), Puschino, Russia (2017), Dubai, UAE (2018), Hong Kong (2019), Amsterdam and Leiden, Netherlands (2020), Melbourne (2021), and Biarritz, France (2022). ++++++++++ Objectives ++++++++++ We invite submissions of papers for the main conference proceedings of WISE2023. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference. Topics of interest include but not limited to: - Web-scale Distributed and Cloud Computing - Recommender Systems - Deep/Hidden Web - Clickstream Analytics - Rich Web UI and HCI - Semantic Web - Machine Learning for the Web - Linked Open Data - Human Factors and Social Issues - Web Big Data Techniques and Mining - Social Web Models and Analysis - Web Agents and Web Intelligence - Web Data Models - Web Information Retrieval and Text Analytics - Web Metrics and Performance - Web Mining and Web Warehousing - Web Security and Trust Management - Web-based Business Processes and Web Services - Web Tools and Visualization - Data Science and AI technology - Web-based Applications (e.g., Auction and Negotiation, e-Commerce, e-Government, e- Learning, etc.) +++++++++++++++++++++++++++ Paper Submission Guidelines +++++++++++++++++++++++++++ - Papers should be submitted in PDF format. The results described must be unpublished and must not be under review elsewhere. Submissions must conform to Springer's LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. - Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. Information about the Springer LNCS format can be found at Springer. - Three to five keywords characterizing the paper should be indicated at the end of the abstract. - All papers should be submitted via Easychair. ++++++++++++++++++++++++++ Important Dates (Extended) ++++++++++++++++++++++++++ AbstractSubmissionDeadline:1 May 2023 FullPaperSubmissionDeadline:8 May 2023 Acceptance/RejectionNotification:7 July 2023 Camera-ReadyFilesSubmission:7 August 2023 ++++++++++++++++++++ Publications ++++++++++++++++++++ Accepted papers will be presented at WISE 2023 and published in the conference proceedings, which are published in the Springer Lecture Notes in Computer Science (LNCS). Authors' selected best papers from the conference will be invited to submit an expanded version for publication in designated special issues (WWW Journal and others). ++++++++++++++++++++ Organizing Committee ++++++++++++++++++++ General Co-Chairs - Athman Bouguettaya, The University of Sydney, Australia - Richard Chbeir, University of Pau and the Adour Region, France - Xiaoyang Wang, Fudan University, China Program Co-Chairs - Feng Zhang, Renmin University of China, China - Hua Wang, Victoria University, Australia - Mahmoud Barhamgi, Qatar University, Qatar Publicity Co-Chairs - Djamal Benslimane, Lyon 1 University, France - Michael Mrissa, University of Primorska, Slovenia - Xiaohui Tao, University of Southern Queensland, Australia - Zhenying He, Fudan University, China __________________________________________________________________ This email (including any attached files) is confidential and is for the intended recipient(s) only. If you received this email by mistake, please, as a courtesy, tell the sender, then delete this email. The views and opinions are the originator's and do not necessarily reflect those of the University of Southern Queensland. Although all reasonable precautions were taken to ensure that this email contained no viruses at the time it was sent we accept no liability for any losses arising from its receipt. The University of Southern Queensland is a registered provider of education with the Australian Government. (CRICOS Institution Code QLD 00244B / NSW 02225M, TEQSA PRV12081) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hypeuler at gmail.com Fri Apr 28 06:13:05 2023 From: hypeuler at gmail.com (Erman Acar) Date: Fri, 28 Apr 2023 12:13:05 +0200 Subject: Connectionists: CfP for KR4HI 2023 - Second International Workshop on Knowledge Representation for Hybrid Intelligence References: <010701877568ff91-4459c889-08fe-4cfd-a06d-64ea34feb444-000000@eu-central-1.amazonses.com> Message-ID: Dear Colleagues, KR4HI-2023 is the second International Workshop on Knowledge Representation for Hybrid intelligence which will be co-located with the 2nd international conference on Hybrid-Human Artificial Intelligence (HHAI 2022). The workshop will be held in Design Offices Macherei on June 26th, 2023. Submission deadline: May 10th, 2023 Submission link: https://easychair.org/conferences/?conf=kr4hi2023 The review process: The review process will be carried out as single-blind. List of Topics The workshop has an interdisciplinary theme and welcomes any work from any discipline which uses a KR formalism in a HI scenario. The relevant themes to be used in a HI scenario include but are not limited to: ? Argumentation Frameworks ? Integrating Learning and Reasoning (Neuro-Symbolic systems, Statistical Relational Learning) ? Formal or Applied Ontologies (Knowledge Graphs, Description Logics) ? Causal Inference/Counterfactual Reasoning ? Constraint Programming ? Epistemic Logics and Theory of Mind ? Formal Concept Analysis ? Automated Reasoning, Robotics and Planning ? Non-monotonic Reasoning (Answer-set Programming, Datalog) ? Models of uncertainty (Probabilistic Graphical models, Probabilistic/Fuzzy Logics) ? Temporal logics (Single-agent / Multiagent Logics) ? Preferential/Contextual Reasoning Publication Accepted papers will be published in CEUR workshop proceedings. Selected papers will be further invited for (extended version) submission to a special issue of the journal AI Communications. Program Committee Erman Acar (ILLC, University of Amsterdam, NL) Pierangela Bruno (University of Calabria, IT) Martin Diller (Technische Universit?t Dresden, DE) Davide Grossi (ILLC & University of Groningen, NL) Ricardo Guimr?es (University of Bergen, NO) Ronald de Haan (ILLC, University of Amsterdam, NL) Frank van Harmelen (Vrije Universiteit Amsterdam, NL) Loan Ho (Vrije Universiteit Amsterdam, NL) Guiseppe Mazotta (University of Calabria, IT) Emile van Krieken (Vrije Universiteit Amsterdam, NL) Victor Lacerda (University of Bergen, NO) Ana Ozaki (University of Bergen, NO) Rafael Pen?aloza (University of Milano-Bicocca, IT) Nico Potyka (Imperial College London, UK) Stefan Schlobach (Vrije Universiteit Amsterdam, NL) Bar?? Sertkaya (Frankfurt University of Applied Sciences, DE) Atefeh Zafarghandi (CWI & Vrije Universiteit Amsterdam, NL) Organizing committee Erman Acar (ILLC, University of Amsterdam) Ana Ozaki (University of Bergen) Rafael Pen?aloza (University of Milano-Bicocca) Stefan Schlobach (Vrije Universiteit Amsterdam) Atefeh Zafarghandi (CWI & Vrije Universiteit Amsterdam) Keynote Speakers ? Thomas Bolander (Technical University of Denmark) - From Dynamic Epistemic Logic to Socially Intelligent Robots ? Max van Duijn (Leiden University) - Theory of Mind in Large Language Models Venue The workshop is co-located with the 2nd international conference on Hybrid-Human Artificial Intelligence (HHAI 2023), Design Offices Macherei in Munich, Germany, on June 26th, 2023. Contact For any question, please contact Erman Acar via email: erman.acar at uva.nl --- Erman Acar, PhD Assistant Professor (for XAI in Finance) Institute of Logic, Language and Computation Socially Intelligent Artificial Systems (SIAS) Group @ IvI University of Amsterdam -------------- next part -------------- An HTML attachment was scrubbed... URL: From jochem.rieger at uni-oldenburg.de Fri Apr 28 12:21:52 2023 From: jochem.rieger at uni-oldenburg.de (Jochem Rieger) Date: Fri, 28 Apr 2023 18:21:52 +0200 Subject: Connectionists: Open position for software development Message-ID: <58e1408d-1e36-f1f4-9d41-1b5587252fdf@uni-oldenburg.de> Dear all, In our DFG-funded project "Tools and practices for reproducible open neuroscience" we are looking for a new team member for the development of a python based software for research data management with a focus on neuroimaging data, such as MEG and MRI data. Please circulate this among your students and other potential applicants. The research data management software should be based on the Brain Imaging Data Structure (BIDS). The project has two stages. The first stage is the development of a tool to convert all data acquired at the main devices of our facility (MEG and MRI) into the BIDS standard. The second part is adding additional features to this tool, such as extracting and annotating metadata in a standardized form to accompany the converted datasets in order to make them better understandable and increase the efficiency of the data. The salary level is approximately 38000-40000 Euros p.a. with 40h/week. The position can be split. We are looking for a highly motivated individual to fill this position. The successful applicant has finished an apprenticeship as a software technician or a bachelor's degree in a STEM field and has prior experience with programming in python. Experience in the domain of software engineering and working with BIDS data are welcome.? Students looking to finance their studies are highly encouraged to apply for this position. For enquiries, please contact Aaron Reer: aaron.reer at uol.de or Prof. Dr. Jochem Rieger: jochem.rieger at uol.de. Send your application preferred in one single pdf document (letter of motivation, CV, certificates) to Aaron Reer, E-mail: aaron.reer at uol.de. The deadline for applications is May, 15th, 2023. The Applied NeuroCognitive Psychology lab (ANCP lab) is located at the Carl-von-Ossietzky University, Oldenburg, Germany. Remote work is possible. Conditions can be negotiated. ________________________________________ Best, Jochem -- Jochem Rieger Prof. Dr. rer. nat. habil. Applied Neurocognitive Psychology DFG Center for Open and Reproducible Neuroscience Tools NFDI sections ELSA and metadata Carl-von-Ossietzky University Oldenburg Phone: +49 (0)441 798 4533 Web: https://uol.de/en/applied-neurocognitive-psychology github: https://github.com/ANCPLabOldenburg -------------- next part -------------- An HTML attachment was scrubbed... URL: From wahl at tu-berlin.de Fri Apr 28 07:50:55 2023 From: wahl at tu-berlin.de (Wahl, Jonas) Date: Fri, 28 Apr 2023 11:50:55 +0000 Subject: Connectionists: Announcement UAI 2023 Workshop "Workshop for Causal Inference for Time Series Data", Submission Deadline: May 31, 2023 Message-ID: <064A86D4-CBF2-4A49-BEBF-32840376DC78@tu-berlin.de> Call for papers Workshop for Causal Inference for Time Series Data at UAI 2023, Pittsburgh, USA: https://sites.google.com/view/ci4ts2023/home Important Dates Paper submission deadline: May 31, 2023 23:59 AoE Notification to authors: July 4, 2023 23:59 AoE Workshop date: August 4, 2023 Topic and motivation Many important research questions involve causation in systems for which direct experimentation is expensive, unethical or quite simply impossible. Examples include the Earth system, the human brain, socio-economic systems, epidemiology and industrial processes. Research on causal inference aims to provide both theoretical foundations and practical methods that can use domain knowledge and observational or experimental data to learn and quantify possible causal relationships between the variables of interest. Most real world data comes in the form of time series, which pose special difficulties for causal inference, and have been the subject of statistical study since the beginning of the 20th century. To deal with the challenges posed by time series data, several theoretical frameworks and practical methods have been developed, each based on their own set of underlying assumptions. Some of these approaches rely on the theory of continuous-time dynamical systems, others make use of results on stochastic processes or adapt the constraint-based approach to causality to time series data. Although recent works have made advances on several fronts, many challenges remain and causal inference for time series is arguably still a relatively underexplored area of research. In this workshop, we aim to bring together leading researchers and new investigators on causal inference for time series, as well as experts in dynamical systems and stochastic processes. We welcome any contributions on ongoing research at the interface of causality and time series modeling, including but not limited to: * Causal structure learning on time series data * Causal effect estimation, from adjustment to do-calculus, on time series * Counterfactual reasoning on time series * Interventions for time-dependent causal models * Time series root cause analysis * Causal representation learning for time series * Causal modeling of time-scale or frequency-dependent relations * Frequency-space causal inference and structure learning * Dynamical systems-based causal inference * Stochastic process-based causal inference * Benchmarks simulating real-world challenges * Example applications from different scientific domains (Earth sciences, neuroscience, economy, etc) Submission instructions We invite submissions on on-going research that have not yet been published in a venue with proceedings. While we welcome unfinished work, submissions in this track should contain original ideas, new connections between research fields, or novel results. The main body of the submission,including figures and tables, must not exceed 8 pages plus one additional page for references. There is no page restriction for supplementary material. Reviewers will be asked to judge the main body of the paper and will not be required to read the supplementary material. Papers should be submitted anonymously to the OpenReview submission portal as a single pdf formatted using the workshop?s latex style file. All papers will undergo double-blind peer review. A subset of the accepted papers will be invited for a contributed talk; all other accepted papers will be invited to be presented at the poster sessions. The workshop will not have proceedings. Organizers * Jakob Runge1,2, jakob.runge at dlr.de, https://climateinformaticslab.com/about/ * Urmi Ninad2, urmi.ninad at tu-berlin.de, https://climateinformaticslab.com/about/ * Jonas Wahl2, wahl at tu-berlin.de, https://jonaswahl.com/ * Andreas Gerhardus1, andreas.gerhardus at dlr.de, https://climateinformaticslab.com/about/ * Sara Magliacane3,4, s.magliacane at uva.nl, https://saramagliacane.github.io/ * Charles Assaad5, cassaad at easyvista.com, https://ckassaad.github.io/ * Tom Claassen6, tom.claassen at ru.nl, http://www.cs.ru.nl/~tomc/ * Clark Glymour7, cg09 at andrew.cmu.edu, https://www.cmu.edu/dietrich/philosophy/people/emeritus/glymour.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From isclab.uu at gmail.com Fri Apr 28 08:29:58 2023 From: isclab.uu at gmail.com (ISCL UU) Date: Fri, 28 Apr 2023 14:29:58 +0200 Subject: Connectionists: PostDoc position in Statistical Sampling/Optimization/Machine Learning D/L May 02 Message-ID: Dear all, Applications are invited for a postdoctoral position in our group at the Division of Scientific Computing, Department of Information Technology, Uppsala University, Sweden, in the area of statistical sampling/optimal design of experiments. The problem setting is close in spirit to active learning and sequential sampling, and involves the solution of optimization problems for formulating informative scientific experiments. Requirements: - Strong mathematical background - Interest/experience in non-convex optimization and/or active learning is a plus - Excellent academic record - Interest in interdisciplinary research - Good teamwork/collaboration skills Starting date: Negotiable Deadline: 02 May 2023 Application Details: https://www.uu.se/en/about-uu/join-us/details/?positionId=607267 Please contact prashant.singh -at- scilifelab.uu.se with questions. Best regards, Prashant Singh Assistant Professor Department of Information Technology Uppsala University, Sweden -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Fri Apr 28 09:38:15 2023 From: pubconference at gmail.com (Pub Conference) Date: Fri, 28 Apr 2023 09:38:15 -0400 Subject: Connectionists: CFP: ICIST2023, December 8-14, 2023, Cairo, Egypt Message-ID: *Call for Papers* *https://conference.cs.cityu.edu.hk/icist * Sponsor: British University in Egypt Co-Sponsors: City University of Hong Kong and Chongqing Three Gorges University Technical co-sponsor: IEEE Systems, Man and Cybernetics Society The 13th International Conference on Information Science and Technology (ICIST 2023) will be held in Cairo, Egypt during December 8-14, 2023. As a cradle of civilization, the conference site features long historical and rich cultural heritages. Following the successes of previous events, ICIST 2023 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature preconference, tutorials, plenary speeches given by world-renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics and pre-conference tutorials/workshops to warm up the main event. *Call for Papers and Special Sessions* Prospective authors are invited to contribute high-quality papers to ICIST 2023. In addition, proposals for special sessions within the technical scope of the conference are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers on special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICIST 2023. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. *Topic Areas* Topics of contributing papers include, but are not limited to, the following areas: *Computer Science and Engineering* Computer networks, computer vision, pattern recognition, virtual, reality, parallel and distributed computing, high-performance computing, artificial intelligence, computer graphics, big data, cloud computing, database management systems, mobile agent computing, quality of services and communication protocol, mobile computing for e-commerce, cryptography and information security, scientific and engineering computing, hybrid computational methods, data visualization and virtual reality, web- and grid-based computing and simulation, possibility theory, Bayes network and hidden Markov models, computational intelligence, granular computing *Control and Automation* Autonomous systems, linear and nonlinear control, robust control, learning and adaptive control, intelligent control, optimization-based and optimal control, model predictive control, fault detection and identification, hybrid intelligent systems, neural control, fuzzy logic control, networked control, industrial automation, process control, robot control, mechatronic systems, vehicle control systems, intelligent transportation systems, environmental monitoring and control, intelligent manufacturing systems, microprocessor-based control, motor control, power control, vehicle control, aerospace control applications. *Signal Processing and Telecommunications* Adaptive filtering & signal processing, audio/speech processing and coding, compressive sensing and sparse representation, higher-order spectral analysis, nonlinear & blind signal processing, neural signal processing, component analysis, array signal processing, parallel and distributed processing, time series analysis, multimedia signal processing, design and implementation of signal processing systems, DSP Implementations and embedded systems, image and multidimensional signal processing, image processing & understanding, multimedia communications, next-generation wireless/wireline communications, communication signal processing, modulation and channel coding, network coding, sensor networks *Bioinformatics and Biomedical Engineering* Microarray data analysis, gene regulation, network, and pathway analysis, identification and classification of genes, protein structure prediction, next-generation sequencing and metagenomics, protein, DNA/RNA structure, function, and interactions, functional genomics and proteomics, molecular evolution and phylogeny, neuroinformatic, brain-computer interface, clinical engineering, rehabilitation engineering, neural engineering, biomedical signal analysis and modeling, bio-imaging, sensing, and data fusion, biomarker discovery, health informatics, healthcare data acquisition, analysis, and modeling, biomedical data knowledge extraction, biomedical data integration, modeling, and preprocessing, biological data mining, knowledge sharing, visualization, and knowledge utilization, biomedical data mining systems and computing platforms, electronic health record acquisition, analysis, and decision support, high performance computing for biomedical data analysis, smart clinical diagnosis and decision systems *Paper Submission* Authors are invited to submit full-length papers (the nominal number of pages is 10) by the submission deadline through the online submission system. Special session organizers are also invited to enlist six or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take into consideration of the referees' comments and suggestions. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore?s scope and quality requirements. Selected high-quality papers will be included in several journal special issues. *Important Dates* Special session proposals deadline????????????????????????????.July 1, 2023 Paper submission deadline?????????????????????????...????......... August 1, 2023 Notification of acceptance?????????.???????????????...??????..September 1, 2023 Camera-ready copy and author registration??????????????????..??????..?October 1, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICIST2023CFP.pdf Type: application/pdf Size: 365752 bytes Desc: not available URL: From r.jolivet at maastrichtuniversity.nl Fri Apr 28 09:04:37 2023 From: r.jolivet at maastrichtuniversity.nl (Jolivet, Renaud (MACSBIO)) Date: Fri, 28 Apr 2023 13:04:37 +0000 Subject: Connectionists: Assistant Professor position at Maastricht University Message-ID: <99066E75-E558-43D2-B28D-8F9939741455@maastrichtuniversity.nl> My department - Systems Biology at Maastricht University - has an opening for an Assistant Professor in Plant Systems, Computational or Synthetic Biology (https://www.academictransfer.com/en/327187/assistant-professor-plant-systems-computational-or-synthetic-biology/). This is part of a cluster hire for a new centre and the search is broad. We are particularly interested by people who develop computational methods that can be applied to plants, but also to humans and animals, and we would be particularly interested by a candidate developing methods useful in neuroscience. Please contact me directly if interested. ? Prof. Renaud B. Jolivet Chair of Neural Engineering and Computation Maastricht University ERA Forum Stakeholder Representative, European Commission Chair of the Science and Technology Committee, EBRAINS Member of the Board of Directors, Organization for Computational Neurosciences 2023 Neurotech Fellow, Foresight Institute User Team Leader, ISOLDE, CERN +41798302129 (mobile) ?+31433881741 (office)? r.jolivet at maastrichtuniversity.nl twitter.com/RenaudJolivet linkedin.com/in/renaud-jolivet-63b5534 scholar.google.ch/citations?user=9Ozwv7EAAAAJ -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgios.yannakakis at um.edu.mt Fri Apr 28 07:19:06 2023 From: georgios.yannakakis at um.edu.mt (Georgios N Yannakakis) Date: Fri, 28 Apr 2023 13:19:06 +0200 Subject: Connectionists: Postdoc Fellowship on AI and Games - modl.ai and Institute of Digital Games In-Reply-To: References: Message-ID: *** apologies for cross-postings *** We have a new exciting post for an AI postdoc! Join the research teams of the Institute of Digital Games and modl.ai and help us deliver state of the art tools for AI-based testing! We are looking for excellent candidates with experience training large deep learning models such as transformers and a deep understanding of modern machine learning techniques. Moreover, a good grasp of as many of the following areas as possible will be considered advantageous: human-computer interfaces, player modelling, affect modeling, multimodal interaction, behaviour cloning/imitation learning, procedural content generation, generative systems, game analytics. Apply here by *11 May 2023*! -- Georgios N. Yannakakis | Professor Director | Editor in Chief, IEEE Trans. on Games Institute of Digital Games 20 Triq L-Esperanto +356 2340 3510 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Fri Apr 28 09:22:17 2023 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Fri, 28 Apr 2023 13:22:17 +0000 Subject: Connectionists: NEURAL NETWORKS, May 2023 Message-ID: Neural Networks - Volume 162, May 2023 https://www.journals.elsevier.com/neural-networks Successes and critical failures of neural networks in capturing human-like speech recognition Federico Adolfi, Jeffrey S. Bowers, David Poeppel Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication Shtwai Alsubai, Abdullah Alqahtani, Mohemmed Sha A dynamical model of visual motion processing for arbitrary stimuli including type II plaids Yusuke Korai, Kenichiro Miura Edge computing on TPU for brain implant signal analysis J?nos Rokai, Istv?n Ulbert, Gergely M?rton Decoding self-motion from visual image sequence predicts distinctive features of reflexive motor responses to visual motion Daiki Nakamura, Hiroaki Gomi Toward a cerebello-thalamo-cortical computational model of spinocerebellar ataxia Gajendra Kumar, Chi Him Eddie Ma Generalized image outpainting with U-transformer Penglei Gao, Xi Yang, Rui Zhang, John Y. Goulermas, ... Kaizhu Huang ProMask: Probability mask representation for skeleton detection Xiuxiu Bai, Lele Ye, Zhe Liu, Bin Liu Multi-UAV autonomous collision avoidance based on PPO-GIC algorithm with CNN-LSTM fusion network Chengqing Liang, Lei Liu, Chen Liu Episodic task agnostic contrastive training for multi-task learning Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, ... Boyu Wang An effective knowledge graph entity alignment model based on multiple information Beibei Zhu, Tie Bao, Ridong Han, Hai Cui, ... Tao Peng Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication Herdiantri Sufriyana, Yu-Wei Wu, Emily Chia-Yu Su NLS: An accurate and yet easy-to-interpret prediction method Victor Coscrato, Marco H.A. In?cio, Tiago Botari, Rafael Izbicki A meta-framework for multi-label active learning based on deep reinforcement learning Shuyue Chen, Ran Wang, Jian Lu HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, ... Mohammad Ali Moni Dual adaptive learning multi-task multi-view for graph network representation learning Beibei Han, Yingmei Wei, Qingyong Wang, Shanshan Wan Traffic forecasting with graph spatial-temporal position recurrent network Yibi Chen, Kenli Li, Chai Kiat Yeo, Keqin Li Hierarchical Attention Master-Slave for heterogeneous multi-agent reinforcement learning Jiao Wang, Mingrui Yuan, Yun Li, Zihui Zhao Nested relation extraction via self-contrastive learning guided by structure and semantic similarity Chengcheng Mai, Kaiwen Luo, Yuxiang Wang, Ziyan Peng, ... Yihua Huang A learnable sampling method for scalable graph neural networks Weichen Zhao, Tiande Guo, Xiaoxi Yu, Congying Han COM: Contrastive Masked-attention model for incomplete multimodal learning Shuwei Qian, Chongjun Wang Uncertainty maximization in partially observable domains: A cognitive perspective Mirza Ramicic, Andrea Bonarini Improved disturbance observer-based fixed-time adaptive neural network consensus tracking for nonlinear multi-agent systems Na Zhang, Jianwei Xia, Ju H. Park, Jing Zhang, Hao Shen Miper-MVS: Multi-scale iterative probability estimation with refinement for efficient multi-view stereo Huizhou Zhou, Haoliang Zhao, Qi Wang, Gefei Hao, Liang Lei RAFNet: Restricted attention fusion network for sleep apnea detection Ying Chen, Huijun Yue, Ruifeng Zou, Wenbin Lei, ... Xiaomao Fan Jacob R. Epifano, Ravi P. Ramachandran, Aaron J. Masino, Ghulam Rasool Pages 581-588 Effects of parity, frustration, and stochastic fluctuations on integrated conceptual information for networks with two small-sized loops Tadaaki Hosaka Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument Jingjing Wang, Song Zhu, Xiaoyang Liu, Shiping Wen A general framework for robust stability analysis of neural networks with discrete time delays Melike Solak, Ozlem Faydasicok, Sabri Arik Disturbance rejection for multi-weighted complex dynamical networks with actuator saturation and deception attacks via hybrid-triggered mechanism R. Sakthivel, O.M. Kwon, M.J. Park, S.M. Lee, R. Sakthivel Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach Yuru Guo, Chang Liu, Yonghua Liu, Yong Xu, ... Tingwen Huang Global synchronization of complex-valued neural networks with unbounded time-varying delays Yin Sheng, Haoyu Gong, Zhigang Zeng LCM-Captioner: A lightweight text-based image captioning method with collaborative mechanism between vision and text Qi Wang, Hongyu Deng, Xue Wu, Zhenguo Yang, ... Gefei Hao An interpretive constrained linear model for ResNet and MgNet Juncai He, Jinchao Xu, Lian Zhang, Jianqing Zhu Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions Rui Ye, Shanshan Feng, Xutao Li, Yunming Ye, ... Yaowei Wang SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains Kanghyeok Ko, Taesun Yeom, Minhyeok Lee Vertex points are not enough: Monocular 3D object detection via intra- and inter-plane constraints Hongdou Yao, Jun Chen, Zheng Wang, Xiao Wang, ... Pengfei Han Framework for Segmented threshold l_{0} gradient approximation based network for sparse signal recovery Vivekanand V., Deepak Mishra Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity Arunabha M. Roy, Rikhi Bose, Veera Sundararaghavan, Raymundo Arr?yave CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks Emilio Paolini, Lorenzo De Marinis, Luca Maggiani, Marco Cococcioni, Nicola Andriolli Restoration and enhancement on low exposure raw images by joint demosaicing and denoising Jiaqi Ma, Guoli Wang, Lefei Zhang, Qian Zhang Lifelong Text-Audio Sentiment Analysis learning Yuting Lin, Peng Ji, Xiuyi Chen, Zhongshi He Generative negative replay for continual learning Gabriele Graffieti, Davide Maltoni, Lorenzo Pellegrini, Vincenzo Lomonaco -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Sat Apr 29 04:30:58 2023 From: suashdeb at gmail.com (Suash Deb) Date: Sat, 29 Apr 2023 14:00:58 +0530 Subject: Connectionists: Submission deadline (ISCMI23, Mexico) 2 months away Message-ID: Dear Esteemed Colleagues, This is to inform you that the submission deadline for 2023 10th ISCMI is exactly 2 months away. ISCMI 2023 is technically co sponsored by IEEE Mexico Section, IEEE Mexico Council and Mexico Chapter of IEEE Computational Intelligence Society. For more information, pls visit the conference website http://www.iscmi.us ISCMI 2023 is the 10th edition of the annual flagship event of llCCl http://www.iicci.in I solicit your help in alerting your colleagues and motivate them towards preparing and submitting their manuscripts. Will sincerely hope to receive quality manuscripts from you and your network. w.e.f. 2017, ISCMI is organized in memory of life and work of Prof. Lotfi Zadeh. The list of all colleagues who delivered the IICCI Prof. Lotfi Zadeh Memorial Speech can be found by visiting http://www.iicci.in/speakers.html Hope to receive enthusiastic response from the peers in your network and to meet many of them during the Decennial Celebrations of ISCMI this year. With kind regards, Suash Deb General Chair, ISCMI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Apr 29 03:39:15 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 29 Apr 2023 09:39:15 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Summer: early registration May 1st Message-ID: <1299543214.2133458.1682753955303@webmail.strato.com> ************************************************************************ 10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://deeplearn.irdta.eu/2023su/ ************************************************************************ Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ************************************************************************ Early registration: May 1st, 2023 ************************************************************************ FRAMEWORK: DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested. SCOPE: DeepLearn 2023 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, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth and Bari. 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, geographic information systems, signal processing, genomics, 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 19 four-hour and a half courses and 2 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 employment 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 2023 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 2023 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/ STRUCTURE: 2 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. Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids Aidong Zhang (University of Virginia), Concept-Based Explainable Deep Learning Models PROFESSORS AND COURSES: Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science Nat?lia Cordeiro (University of Porto), [introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design Daniel Cremers (Technical University of Munich), [intermediate] Deep Networks for 3D Computer Vision Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits Georgios Giannakis (University of Minnesota), [intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing Tae-Kyun Kim (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Deep 3D Pose Estimation Marcus Liwicki (Lule? University of Technology), [intermediate/advanced] Methods for Learning with Few Data Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration Ivan Oseledets (Skolkovo Institute of Science and Technology), [introductory/intermediate] Tensor Methods for Approximation of High-Dimensional Arrays and Their Applications in Machine Learning Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild Kaushik Roy (Purdue University), [introductory/advanced] Neuromorphic Computing Bj?rn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures Jiliang Tang (Michigan State University), [introductory/advanced] Deep Learning on Graphs: Methods, Advances and Applications Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems Li Xiong (Emory University), [introductory] Deep Learning and Privacy Enhancing Technology Lihi Zelnik-Manor (Technion - Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises 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 9, 2023. 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 9, 2023. 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 July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) 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://deeplearn.irdta.eu/2023su/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 as well as eventually courses in BigDat 2023 Summer. 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 are available at https://deeplearn.irdta.eu/2023su/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 - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgeangelos60 at gmail.com Sat Apr 29 07:38:57 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Sat, 29 Apr 2023 14:38:57 +0300 Subject: Connectionists: 7th International Conference on Internet Science (INSCI 2023): Sixth Call for Papers Message-ID: *** Sixth Call for Papers *** 7th International Conference on Internet Science (INSCI 2023) September 13-15, 2023, 5* St. Raphael Resort, Limassol, Cyprus https://cyprusconferences.org/insci2023/ Submissions due: May 15, 2023 (AoE) (Proceedings to be published by Springer in LNCS; Best Paper Award sponsored by Springer with 300 EUR; Special Journal Issue in the Future Internet journal) ?Internet for Survival?: How the effective and democratic evolution of the Internet towards an infrastructure/ecosystem supporting resilience and equality depends on deeply intertwined considerations rooted in technological, social and economic sciences. ? INSCI is a multidisciplinary conference that brings together scholars and practitioners at the intersection of technological, social and economic sciences seeking to learn how the Internet can be used to make our world a better place. Its insights are expected to create a better understanding of this complex socio-technical system we call ?Internet?, for instance to inform political decisions on the technological priorities for public funding and to drive a more sustainable and equitable development of the innovation and social ecosystems it supports. INSCI welcomes fundamental and applied multidisciplinary research, including policy- oriented studies and works offering technological solutions, that investigate the role of Internet for sustainable development, social and economic resilience, collective intelligence, reliable information processing and protection, and, more generally, for a holistic understanding of societal transformations, governance shifts and innovation quests.? INSCI welcomes works done in interdisciplinary teams that may include computer scientists, sociologists, policy makers, economists, designers and artists, or complex system scholars, among others, preferably uniting expertise from social, economic and technical sciences. This kind of work is expected to close the gap between societal / economic impact and requirements and technological developments, seen as both drivers and consequences of each other. Thus, INSCI 2023 welcomes submissions to a wide range of topics including but not limited to the following list. TOPICS Green, Sustainability, and Innovation ? The challenges of Responsible Research and Innovation on Internet solution ? The technological, social and economic benefits of Transnational and Inter-Cultural Projects ? Internet solutions supporting Environmental policies related to Climate Change ? Green Computing in a holistic perspective: trade-offs of computing power, social benefits, economic and environmental impacts (e.g. blockchains) ? Design, Implementation, and Analysis of Novel Platforms for alternative distributed economic models ? Distributed environmental awareness: creating a collective consciousness of environmental issues and possible solutions at individual and collective level. Collective intelligence, sensing and action ? Energy optimisation from from networked production to shared consumption, relying on top-down and bottom-up approaches ? Networks for circular economy models: conceiving and putting in place platforms and solutions effectively supporting circular and social economy models, collaborative making, art and creativity. Enabling Technologies, Applications and Infrastructures ? Social implications of Reinforcement Algorithms, Machine Learning and Intelligent Systems ? Feasibility and social /economic aspects of Algorithms for mediation content ? Data Sovereignty and inclusion aspects of Cloud, Grid and Cluster Computing ? Recommender, Adaptive and Context Aware Systems: design, social and inclusion aspects, feasibility and adoption ? Networking and Wireless Systems as enablers: inclusion, health, privacy and pervasiveness aspects ? People-driven Internet Technologies and Applications, including Collaborative Platforms & Social Search, Open Data and New Interfaces? Societal Structures ? How will Internet of Things change Society and interaction models ? Digital Competences and Participation ? Virtual Communities and Behavioural Patterns: how are they affected by the technological platforms being used? ? Knowledge, Education, Technology Enhanced Learning, and Societal Web Impact on Internet Evolution? ? Offline and Online Human Behaviour with Emphasis on Social Media and Online/ER/ VR Interactions? Digital Politics and Governance ? Internet and Political Participation ? Online Political Freedoms in Policing and in Effect: Regional and Local Perspectives, technological impacts and requirements ? Citizen Involvement into Decision-Making: Platforms, Actors, and Experiences ? Political Discussions Online: Issues and Groups Behind Them, technical and collaborative solutions to moderate them ? E-governance Practices of Today?s Authorities across the world ? Internet regulation: Security vs. Openness Free Communication Patterns and Democracy ? Freedom of Speech Online: a Contested Area of Policing ? Algorithms as New Total Communicative Power ? Extremist and Radical Talk Online and Policies or socio-Technical solutions to counteract it ? Universal Internet Freedoms vs. Dark Web ? Participatory Democracy and Budgeting: citizens? involvement in democratic processes, for more equal and inclusive resource allocation ? Cognitive, Psychological Aspects and Incentive Mechanisms for online Engagement, Collaboration and Participation? (smart citizenship, e-literacy, participation skills, decision support and recommendations for informed citizens and collective actions) ? E-Democracy and E-Participation: risks and opportunities, lessons learnt from currently deployed solutions (e.g. e-voting, Decidim) ? Reliable online information: collaborative models and processes to produce/qualify online information (e.g. post-truth Practices Online, filter bubble and fact checking), for health (e.g. vaccination), democracy (international decision-making, political campaigns, opinion and sentiment modelling, governmental censure and influence), economy (product labelling, ethical marketing), safety of online ecosystems (children protection, fake news, digital rebels) ? Crowdsourcing: implications, enablers Sustainable Network Economy ? Legal, economic, technological and innovation hurdles related to Intellectual Property and the Digital Commons? ? New Collaborative Markets Analytics? ? Economic Power of Online Platforms: Expropriation of Digital Labour, Open Data solutions and their applicability ? Digital Corporations: World Leaders and Regional Alternatives ? Analogous Elites, Technological Precariat ? Digital Professions and Reshaping of Online Labour Markets ? New decentralised economic models: enabling and sustaining a distributed ecosystem of platforms and solutions intrinsically respectful of privacy, self- disclosure and digital sovereignty ? The consumer perspective: unlawful profiling, discrimination and lock-in, automated contracts and warranties Global Access Opportunities ? Internet Resilience: Defining/Comparing non-disconnection Technologies, Monitoring Approaches and Internet Governance Models ensuring resiliency and citizens? empowerment and sovereignty ? Global and Local Faces of Today?s Digital Divide ? Comparing existing and future Open Distance Education and Life-long Learning Environments on online/Virtual Reality Platforms, Practices Around the World ? Global Media Online: Translation and Language Divide ? Empowerment of Disabled with New Body Extensions ? Post-human and Tech-human Individuals and Societies Data Sharing and Protection ? Data Openness vs. User Protection: tech and social aspects of open data policies ? Limits of Privacy and Anonymization, their dependance on technological solutions and intended applications ? Clouds, Big Data and Data Protection Regulation vs. knowledge sharing and open innovation ? Global Tech Powers and Alternative Solutions based on decentralisation ? Open Science and Access to Scientific Production: technological enablers, platform governance, economic and innovation aspects IMPORTANT DATES ? Submission of Papers: May 15, 2023 (AoE) ? Notification of Decision: July 1, 2023 ? Camera-Ready Submission: July 15, 2023 ? Author Registration Deadline: July 15. 2023 PAPER REQUIREMENTS All submitted papers must: ? Describe original results that have not been accepted or submitted for publication elsewhere ? Be written in English and be submitted in PDF format ? Contain author names, affiliations, and email addresses ? Be formatted according to the Springer?s LNCS format Proceedings template: http://www.springer.de/comp/lncs/authors.html? ? Contain three to seven keywords characterizing the paper, to be indicated at the end of the abstract ? Be submitted via the conference system in EasyChair, using the submission link: https://easychair.org/conferences/?conf=insci2023 Full paper submissions should not exceed 15 pages (including all text, figures, references and appendices). We encourage a length of 12 pages for full papers. The Program Committee reserves the right to accept a submission as a short paper. Submissions not conforming to the LNCS format, exceeding the submission page limits or being obviously out of the scope of the conference, will be rejected without review. SELECTION All submissions will be evaluated by at least three members of the international Program Committee, with a mix of social, economic and technological expertise. The review process will be single-blind. Selection will be based on: ? Degree of interdisciplinarity (between social, economic and/or technical sciences) ? Novelty and technical merit ? Relevance of the generated insights for the future Internet development The best paper will be sponsored with 300 EUR by Springer. CAMERA-READY Camera-ready submissions should be corrected by following the remarks of the reviewers and submitted using the same submission link in zip format including: ? The camera-ready version of the authors? work in pdf format ? The camera-ready version of the authors? work in editable sources format ? The Consent to Publish signed in ink and scanned to image file PUBLICATION Accepted papers will be presented at INSCI2023 and published in the conference proceedings volume, which will be published in the Springer Lecture Notes in Computer Science (LNCS). Authors of selected best papers from the conference will be contacted in order to consider submission of an expanded version of their papers for publication in a special issue to be organised with the international journal Future Internet (https://www.mdpi.com/journal/futureinternet), published by MDPI. ORGANISATION General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Vasileios Mezaris,?Information Technologies Institute, Greece ? Fabrizio Sestini, European Commission DG CONNECT, Belgium Steering & Program Committees https://cyprusconferences.org/insci2023/committees/ -------------- next part -------------- An HTML attachment was scrubbed... URL: