From perusquia at ieee.org Fri Apr 2 01:00:26 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Fri, 2 Apr 2021 14:00:26 +0900 Subject: Connectionists: Final call for papers ACII2021 **Deadline extended to Apr. 16th** Message-ID: ======================================================= Affective Computing and Intelligent Interaction (ACII) 2021 Call for Papers 28 Sep - 1 Oct 2021, Virtual event http://www.acii-conf.net/2021/ ======================================================= We are calling for papers to be presented at ACII 2021, the 9th International Conference on Affective Computing and Intelligent Interaction. All accepted papers are expected to be included in IEEE Xplore (conditional to the approval by IEEE Computer Society) and indexed by EI. A selection of the best articles at ACII2021 will be invited to submit extended versions to IEEE?s Transactions on Affective Computing. These will be published in a ?Best of ACII? special section of this premier journal. **Important dates** Conference Date: September 28 ? October 1, 2021 Paper Submission Deadline: 9 April 2021 extended to 16 April 2021 Reviews Provided to Authors: May 25, 2021 Author Rebuttals Due: June 1, 2021 Notification of Acceptance: June 25, 2021 Camera Ready Papers Due: July 30, 2021 **General conference topics** *Ethical Issues in Affective Computing - Fairness and bias - Privacy - Transparency and explainability - Inclusive Design - Creating models for user diversity (ability, language, culture, gender, age) - Social impact of affective computing systems *Psychology & Cognition of Affect in Designing Computational Systems - Computational Models of Emotional Processes - Issues in Psychology & Cognition of Affect in Affective Computing Systems - Cultural Differences in Affective Design and Interaction *Recognition and Synthesis of Human Affect from ALL Modalities - Facial and Body Gesture Recognition, Modelling and Animation - Affective Speech Analysis, Recognition and Synthesis - Recognition and Synthesis of Auditory Affect Bursts (Laughter, Cries, etc.) - Motion Capture for Affect Recognition - Affect Recognition from Alternative Modalities (Physiology, Brain Waves, etc.) - Affective Text Processing and Sentiment Analysis - Multimodal Data Fusion for Affect Recognition - Synthesis of Multimodal Affective Behavior *Affective Interfaces - Design of Affective Loop and Affective Dialogue Systems - Human-Centred Human-Behaviour-Adaptive Interfaces - Interfaces for Attentive & Intelligent Environments - Mobile, Tangible and Virtual/Augmented Multimodal Proactive Interfaces - Distributed/Collaborative Multimodal Proactive Interfaces - Tools and System Design Issues for Building Affective and Proactive Interfaces - Evaluation of Affective, Behavioural, and Proactive Interfaces *Affective, Social and Inclusive Robotics and Virtual Agents - Emotion in Robot and Virtual Agent Cognition and Action - Embodied Emotion - Biologically-Inspired Architectures for Affective and Social Robotics - Developmental and Evolutionary Models for Affective and Social Robotics - Models of Emotion for Embodied Conversational Agents - Personality in Embodied Conversational Agents - Memory, Reasoning, and Learning in Affective Conversational Agents *Group Dynamics - Multiparty interaction - Multimodal interaction *Affective Databases and Annotation Tools *Applications - Health - Education - Entertainment - Consumer Products **Theme: Ethical Affective Computing** The Affective Computing technologies are deployed in a variety of applications, including but not limited to lie detection, mental health monitoring/diagnosis, and social/assistive robots. -------------- next part -------------- An HTML attachment was scrubbed... URL: From steve at bu.edu Thu Apr 1 11:55:18 2021 From: steve at bu.edu (Grossberg, Stephen) Date: Thu, 1 Apr 2021 15:55:18 +0000 Subject: Connectionists: My Magnum Opus about how our brains make our minds will be published soon by Oxford University Press Message-ID: Dear Colleagues, I am writing to call your attention to the publication next month by Oxford University Press of my Magnum Opus about how our brains make our minds in health and disease. The book also has implications for developing increasingly autonomous and adaptive technologies that emulate, and can thus harmoniously interact with, human users. The book discusses many topics about mind and brain. For one, it explains how, where in our brains, and why from a deep computational perspective our brains can learn to consciously see, hear, feel, and know things about the world. I wrote the book to be self-contained, accessible, and appealing to the general public. In addition to its exposition of how our minds work and how these discoveries inspire new designs in engineering, technology, and AI, I have been able to use that foundation to provide discussions of many topics that are of current interest, including how we see visual art; how mental disorders like Alzheimer's disease, autism, amnesia, and disordered sleep are caused; biological bases of creativity and morality; why so many decisions are irrational despite our belief that evolution selects adaptive behaviors; how learned helplessness, self-punitive behaviors, and fetishes may arise and persist; how our brain's design specializes a universal developmental code that it shares with all living cells across multiple species; and how our ceaseless interactions with the external world have shaped the designs that enable us to understand the physical world around us. I hope that, after reading the book Summary and Description below, and the Advance Reviews by 18 leading psychologists, neuroscientists, neural modelers, and technologists, you may be interested in reading the book. If you do, please see the information in the attached flyer for how. Best wishes, Steve Grossberg +++++++++++++++++++++++++++++++++++++++ Conscious MIND, Resonant BRAIN: How Each Brain Makes a Mind by Stephen Grossberg 800 pages, $35 (see attached flyer for 30% reduction to $24.50) https://global.oup.com/academic/product/conscious-mind-resonant-brain-9780190070557?cc=us&lang=en& SUMMARY ? Explores how your mind works, notably how you learn to consciously see, hear, feel, and know things ? Explains how mental disorders can be understood on a continuum with normal behaviors ? Creates a computational foundation for applications of autonomous adaptive intelligence in engineering, technology, and AI DESCRIPTION How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for the past 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality and religion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problems in machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots. Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processes in all species. The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enabling humans to understand the world scientifically. Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities. ADVANCE REVIEWS ?A tour de force on How the Brain Works?a masterpiece on brain science and neuro-computing that could only be created by Grossberg.? -- Leon Chua, University of California at Berkeley "Whenever you claim to be "the first to do" this or that in artificial intelligence, it is customary - and correct - to add "with the exception of Stephen Grossberg". Quite simply, Stephen is a living giant and foundational architect of the field." -- Karl J. Friston, University College London "This is a breath-taking book authored by a giant pioneer of the brain and mind." -- Shun-Ichi Amari, RIKEN Brain Science Institute "Professor Grossberg is a rara avis. In an age of increasing specialization, he has a remarkable, unparalleled, gift of seeing connections between seemingly unrelated ideas. And he writes about these with passion, but without compromising accuracy." -- V. S. Ramachandran, University of California San Diego "Stephen Grossberg is a true genius, who has discovered and developed many of the most important concepts and theories about how our brains make our minds. His fundamental contributions to science for over 50 years are richly worthy of a Nobel Prize." -- Leonid Perlovsky, Harvard University "Stephen Grossberg is a "big picture" thinker who has had a remarkably deep influence on many aspects of several fields. It's difficult to overstate the range of his vision and the depth of his thinking, and I expect this book to be required reading in many courses for years to come." -- Stephen Kosslyn, Foundry College ?After reading many papers by the author, I always wished that he would present them in a coherent whole. And here it is. A magnificent volume of great science from mind to brain and back, a condensed ars poetica of a great scientist.? -- Gy?rgy Buzs?ki, New York University "The current volume charts the remarkable developments that have led Dr. Grossberg to a principled, unified theory of the link between brain and mind. Dr. Grossberg's insights are unparalleled in their breadth and detail, leading us to a scientific understanding of the most remarkable aspect of the mind, consciousness." -- Michael Mozer, Google Brain, Mountain View, CA ?Stephen Grossberg is one of the most original and influential theorists in contemporary cognitive science and computational neuroscience. In Conscious MIND Resonant BRAIN, he takes the reader on an eye-opening tour in which he addresses fundamental problems of mind and brain from his unique theoretical perspective. This is an important book that should be of interest to anyone who wonders how a brain can give rise to a mind. -- Daniel L. Schacter, Harvard University ?In this book Stephen Grossberg shares the wisdom and encyclopedic knowledge that he acquired over 50 years of research devoted to unravel the mysteries of the human brain. Stephen pioneered the field of theoretical neuroscience and this approach allowed him to discover general principles that govern functions as diverse as visual perception, learning and memory, attention, emotion, decision making and consciousness. It is the essence of overarching principles to be abstract and to sometimes defy intuition, but Stephen succeeds to convey the essential in a language that is readily accessible to the non- expert. He embeds the discussion of neuronal mechanisms in the rich framework of cognitive psychology and elegantly bridges the gap between scientific evidence and subjective experience. He takes the readers by the hand and lets them discover the often surprising philosophical, ethical and societal implications of neurobiological discoveries. For those who enjoy intellectual adventures and wish to explore the boundaries of the known this scholarly written book is a real treasure.? -- Wolf Singer, Max Plank Institute for Brain Research, Frankfurt "Although a behavioral modeler and not a neuroscientist, I have followed Stephen Grossberg's research closely for many years, because I regard him as one of the very most creative and insightful neuroscience theorists that the field has seen. His book should be a must read for those wanting to understand how the brain produces mind." -- Richard Shiffrin, Indiana University "How often do we have the chance to hold a true masterpiece? Grossberg's monumental accomplishments developed over multiple decades now written at an accessible level to a broader audience. What a true privilege!" -- Luis Pessoa, University of Maryland ?Steve Grossberg is one of the most insightful and prolific writers on biological intelligence. This book is a masterful presentation of fundamental methods of modeling minds, brains and their interactions with the world, many of which are due to the author and his collaborators. The models are presented as mathematical systems, including computing and neural networks. The variables, parameters and functions represent biological and environmental concepts; mathematical conclusions are interpreted as predictions of biological behavior. In many cases these have been verified experimentally. There are illuminating and surprising connections to other disciplines, including art, music and economics. Highly recommended to a general audience.? -- Morris W. Hirsch, University of California at Berkeley "This comprehensive overview of Grossberg?s contributions to our understanding of the mind and brain shows exactly how prescient he, and his colleagues, have been. Whatever one?s specific interest, from visual illusions to mental illness, this book provides a principled treatment of it. The principles flow from Grossberg?s early framing of many of the questions that have come to define computational neuroscience ? including his early understanding of the centrality of expectations. Kudos to him for pulling it all together here." -- Lynn Nadel, University of Arizona ?This book is not for the faint of heart. Stephen Grossberg has been a giant in the field of computational neuroscience for 60 years. In this book he presents his carefully developed, integrative neurobiological theory on how the nervous system generates our conscious lives. It is bold yet self-reflective and therein challenging to all students trying to figure out how the brain does its tricks. A must read.? -- Michael Gazzaniga, University of California at Santa Barbara "Conscious Mind, Resonant Brain is the magnum opus of one of the giants of neural networks. The soaring ambition of this book reflects the career achievements of Grossberg's insatiable appetite for understanding how brains work. It is a must-read for those interested in all aspects of how the mind and brain function in health and disease." -- Donald C. Wunsch II, Missouri University of Science and Technology "Grossberg has single-handedly elevated the psychophysics and psychology pioneered by Herman von Helmholtz and William James into a comprehensive mathematical theory of brain and behavior with profound implications and strong empirical support." -- David Hestenes, Arizona State University ?An excellent and wide-ranging view of how the brain perceives the world for us by a pioneering brain theoretician.? -- Wolfram Schultz, University of Cambridge -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Flyer for Grossberg OUP book 3-31-21.pdf Type: application/pdf Size: 516639 bytes Desc: Flyer for Grossberg OUP book 3-31-21.pdf URL: From hocine.cherifi at gmail.com Thu Apr 1 04:46:31 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 1 Apr 2021 10:46:31 +0200 Subject: Connectionists: CFP French Regional Conference on Complex Systems May 26 - 28, 2021 Dijon Message-ID: *COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions, we are currently evaluating hybrid and virtual options. We will make a decision in the coming weeks.* *F*rench* R*egional* C*onference* on C*omplex* S*ystems May 26 - 28, 2021 Dijon, France *FRCCS 2021* You are cordially invited to submit your contribution until *April 06, 2021 (Firm deadline).* *FRCCS 2021 (F*rench *R*egional* C*onference on *C*omplex *S*ystems 2021) is the first edition of the French Regional Conference on Complex Systems. It aims to promote interdisciplinary exchanges between regional researchers from various scientific disciplines and backgrounds (sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science). FRCCS is an opportunity to exchange and promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the perspective of complexity science. *Keynote Speakers *(To Be Updated) Alain Barrat Centre de Physique Th?orique, CNRS Marseille Guillaume Deffuant INRAE Julie Dugdale University Grenoble Alps Marten D?ring University of Luxembourg Cesar A. Hidalgo University of Toulouse Denise Pumain Panth?on-Sorbonne University Camille Roth Centre Marc Bloch CNRS Andrei Zinovyev Institut Curie *Submission Guidelines* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full paper* about *original research* ? *Extended Abstract* about published or unpublished research. It is recommended to be between 2-3 pages. They should not exceed four pages. o Submissions must follow the Springer publication format available on the journal Applied Network Science in the Instructions for Authors' instructions entry. o All contributions should be submitted in *pdf format* via *EasyChair. * *Publication* *All Accepted submissions of unpublished work will be invited for publication in a special issue (fast track procedure) in **one of the journals:* o Applied Network Science edited by Springer o Complexity edited by Hindawi *Topics include, but are not limited to: * ? *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies, and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIR* Hocine Cherifi LIB, UBFC, Dijon *ADVISORY BOARD* Cyrille Bertelle LITIS, Normastic, Le Havre David Chavalarias ISC PIF, Paris Chantal Cherifi DISP, Lyon Bertrand Jouve LISST, Toulouse Hamamache Kheddouci LIRIS, Lyon Benjamin Renoust Median Technologies, Sophia Antipolis Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From jaakko.peltonen at aalto.fi Thu Apr 1 09:12:50 2021 From: jaakko.peltonen at aalto.fi (Peltonen Jaakko) Date: Thu, 1 Apr 2021 13:12:50 +0000 Subject: Connectionists: MLVis 2021: Machine Learning Methods in Visualisation - 2nd Call For Papers Message-ID: <41e9f79ec4ca4b18931d0f752a6a4da5@aalto.fi> MLVis 2021: Machine Learning Methods in Visualisation - 2nd Call For Papers https://www.tuni.fi/mlvis2021/ MLVis 2021 will be a co-located workshop at EuroVis 2021. It aims to bring Machine Learning and Visualization researchers together in order to exchange research ideas. We solicit short papers on machine learning methods in visualisation, from both the machine learning and visualisation communities, addressing how the two technologies can be used together to provide greater insight to end users. Paper submissions for MLVis should be at most 4 pages in MLVis 2021 latex style (provided on the website), with an additional page allowed for references. Papers are to be submitted via the PCS system, link on the website. Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library. Selected papers may be invited to ACM Transactions on Interactive Intelligent Systems. Important Dates: Submission deadline: April 12, 2021 Notification deadline: May 3, 2021 Camera-ready deadline: May 14, 2021 Workshop: June 14, 2021 All submission deadlines are at 23:59 Anywhere on Earth on the date indicated. From angelo.arleo at inserm.fr Fri Apr 2 12:44:49 2021 From: angelo.arleo at inserm.fr (angelo.arleo at inserm.fr) Date: Fri, 2 Apr 2021 18:44:49 +0200 Subject: Connectionists: Three fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France Message-ID: <38C4A338-71CB-45B6-B0ED-6EC2498ED138@inserm.fr> Dear all, The following three PhD positions are currently available at the Vision Institute, Sorbonne University, Paris, France: 1. PhD position in Computational Neuroscience and Deep Learning 2. PhD position in Behavioral Neuroscience 3. PhD position in Experimental/Clinical Neuroscience? Best regards, Angelo Arleo Angelo ARLEO FONTAINE, PhD Director of Research CNRS Head of the Aging in Vision and Action Lab, Director of the Chair Silversight, Institute of Vision, CNRS - INSERM - Sorbonne University, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo at inserm.fr Website: www.aging-vision-action.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From salvadordura at gmail.com Fri Apr 2 12:24:13 2021 From: salvadordura at gmail.com (Salvador Dura) Date: Fri, 2 Apr 2021 16:24:13 +0000 Subject: Connectionists: NIH-funded part-time postdoc or software developer position in computational neuroscience Message-ID: A part-time Postdoc or Software Developer position is available in the Dura-Bernal Lab at the State University of New York (SUNY) Downstate Health Sciences (Brooklyn, New York). The position will focus on the development and dissemination of NetPyNE, a tool for data-driven multiscale modeling of brain circuits -- see our eLife publication (https://elifesciences.org/articles/44494) and tool website (www.netpyne.org). For details on the position please see: http://dura-bernal.org/postdoc -- Salvador Dur?-Bernal, Ph.D. Assistant Professor, State University of New York Downstate Medical Center Research Scientist IV, Nathan Kline Institute for Psychiatric Research Lab web: dura-bernal.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat Apr 3 04:29:11 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sat, 3 Apr 2021 11:29:11 +0300 Subject: Connectionists: First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021): Third Call for Papers Message-ID: *** Third Call for Papers *** First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021) November 8-10, 2021, Golden Bay Hotel 5*, Larnaca, Cyprus http://cyprusconferences.org/ihaw2021/ (Proceedings to be published by Springer; Special Journal Issue with SN Computer Science) ICT for Health, Accessibility and Wellbeing (IHAW 2021) is the first of the series of International Conferences on "ICT for Societal Challenges". It is a showcase for high quality oral and poster presentations and demonstrations sessions. This conference aims to be a platform for multi and interdisciplinary research at the interplay between Information and Communication Technologies, Biomedical, Neuro-cognitive, and Experimental research. This research includes the design, experimental evaluation and standardization of new ICT scalable systems and in-silico systems for new and future inclusive and sustainable technologies that benefit all: healthy people, people with disabilities or other impairments, people having chronic diseases, etc. User-centered design and innovation, new intuitive ways of human -computer interaction, and user acceptance are the topics of particular interest. Conference Topics Relevant topics include (but are not limited to) the following: ? AI and Cognition, Cognitive Mechatronics, Human-Machine Interaction, Cobotics, Model-based design and configuration tools for healthcare and well-being, AI methods for medical device testing ? Systems for management of health and care (mental health, pain, neurological disorders, sight, hearing, balance, space awareness; sensory based physiological and psychological non-invasive measurements, preventive healthcare, m-healthcare, e-healthcare, integrated care, serious games, electronic health record, self-management, patient-centered systems for survivorship, palliation and/or end-of-life care) ? Precision medicine ? ICT for in-silico trials ? Implantable medical devices ? Computational methods for medical device ? Models for human-device interaction for medicine ? Systems promoting access to the socio-economical and cultural environment ? Age-friendly systems for active and healthy aging (telepresence, robotics solutions, innovative solutions for independent living, innovative elderly care, integrated care, age-related risks prevention/detection) ? Multimodal assistive ICT devices to empower people with sensory, cognitive, motor, balance and spatial impairments ? ICT systems to improve the quality of life and for daily life activities assistance (education, recreation, and nutrition) ? Smart living homes and wearables (Intelligent and personalized digital solutions for sustaining and extending healthy and independent living; personalized early risk detection and intervention) ? New experimental validation methods with end-users ? Standardization, certification, labeling, privacy, security and communication issues (related to aging well, to sensory impairment) High-quality original submissions that address such future issues, show the design and evaluation in (near-) real scenarios, explain how to benchmark systems, and outline the education and training procedures for acquiring new perceptual skills while using such systems are welcome. Research and technical papers are expected to present significant and original contributions validated with the targeted end-users. Early works and works- in-progress are invited to submit a short or demo paper. Submissions should clearly state the progress beyond the existing state-of- the-art and the expected societal benefits of the developed technology. When possible, validate scenarios with the target user groups and well-identified technology readiness levels (https://en.wikipedia.org/wiki/Technology_readiness_level) should be at least outlined. Submissions We invite three types of paper submissions: 1. Research and Technical papers, up to 15 pages, describing original unpublished research, making a substantial contribution to the research field 2. Short papers, up to 6 pages, describing original unpublished research, making a small but solid contribution to the field 3. Demos, up to 4 pages, describing innovative tools that address topics relevant to the conference All submissions will be reviewed by the Program Committee. Accepted contributions will appear in the archival proceedings of IHAW 2021, published by Springer in the Communications in Computer and Information Science (CCIS) series (https://www.springer.com/series/7899), and will be presented in plenary sessions of the conference. The authors of the best papers accepted for IHAW2021 will be invited to submit extended versions for a special issue with SN Computer Science (https://www.springer.com/journal/42979). Submissions of all types should be carefully formatted according to the Springer format for conference proceedings: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines and should specify on the first page the type of submission ("R&T", "Short", "Demo"). The submission process will be handled through Easy Chair and the submission link is: https://easychair.org/conferences/?conf=icihaw2021 . Important Dates ? Submission Deadline: June 7, 2021 (AoE) ? Notification: August 23, 2021 ? Camera-Ready Submission Deadline: September 6, 2021 ? Author Registration Deadline: September 6, 2021 Organizers Honorary General Chair ? Edwige Pissaloux, University of Rouen Normandy, France General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Scientific Chair ? Salim Bouhlel, University of Sfax, Tunisia Scientific Vice-Chair ? Achilleas Achilleos, Frederick University, Cyprus Publicity Chair ? Ramiro Velazquez, Universidad Panamericana, Mexico Finance Chair ? Petros Stratis, Easy Conferences LTD., Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmuller2 at uwo.ca Mon Apr 5 01:20:04 2021 From: lmuller2 at uwo.ca (Lyle Muller) Date: Mon, 5 Apr 2021 05:20:04 +0000 Subject: Connectionists: Western-Fields Seminar Series: Networks, Random Graphs, and Neuroscience Message-ID: <830CA002-822F-4899-A8D4-61E7EC34EA3E@uwo.ca> The 2021 Western-Fields?Seminar Series in Networks, Random Graphs, and?Neuroscience will feature monthly talks aimed to make new discussions and collaborations across mathematics and neuroscience. Monthly virtual talks (second Thursday of each month, 12-1 PM EST) will feature researchers across machine learning, physics, computational neuroscience, and graph theory. The first talk in the series will be: Terry Sejnowski , April 8, 12-1 PM EST: ?Working memory in networks of spiking neurons? Upcoming speakers include Lee Smolin (Perimeter Institute), Sudeshna Sinha (Indian Institute of Science Education and Research), Todd Coleman (University of California, San Diego), and Frances Skinner (Krembil Institute), with more exciting speakers to come. Registration link: https://zoom.us/meeting/register/tJYuf-GppzkjHt0W5HMDpME2UpUiE7ntO5JS -- Lyle Muller http://mullerlab.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1590 bytes Desc: not available URL: From dkatsar at inf.uth.gr Sun Apr 4 15:29:26 2021 From: dkatsar at inf.uth.gr (KATSAROS Dimitrios) Date: Sun, 4 Apr 2021 22:29:26 +0300 Subject: Connectionists: CFP: 1st International Workshop on Computational Aspects of Network Science (with ADBIS'21) Message-ID: <606A1396.8090703@inf.uth.gr> CFP: 1st International Workshop on Computational Aspects of Network Science (with ADBIS'21) ---------------------------------------------------------------------------------- CAoNS 2021 in conjunction with ADBIS 2021 August 24, 2021 https://caons.e-ce.uth.gr/ INTRODUCTION ------------ The 1st International Workshop on Computational Aspects of Network Science (CAoNS) will be held in conjunction with the 25th European Conference on Advances in Databases and Information Systems (ADBIS'2021). CAoNS provides opportunities for researchers and practitioners to share their original research results, and practical development products on Network Science. CAoNS aims at bringing together researchers and practitioners working on areas related to any kind of network, such as networks of devices, World Wide Web, social, bibliographic, biological networks, complex systems, and so on, with main focus on the management of networked data (retrieval, evolution) and on the use of analytics for predictive purposes and/or on the analysis of the networks themselves. Due to numerous applications, there is a growing interest in such systems from the point of view of modeling, capturing, storing and management. This is where IT comes into play, e.g. graph databases, machine learning, distributed and parallel processing. TOPICS OF INTEREST ------------------ Topics of interest include (but are not limited to): Machine Learning for Network Data Management Data Mining for Network Data Deep (Reinforcement) Learning for Network Data Network/Graph Databases NoSQL, RDF, Query languages Compressing, (Learned) Indexing Parallel/Distributed processing Novel Test/Benchmark collections Analytics in Networks Diffusion processes Ranking/Search algorithms Recommendations Network Evolution and Growth Topology (prediction) Security for Networked Data Anomaly detection Data protection Crime data mining and network analysis Trust and Reputation IMPORTANT DATES --------------- Deadline for submissions: May 9, 2021 Notification date: June 13, 2021 Camera ready due: June 27, 2021 Workshop date: August 24 SUBMISSION GUIDELINES --------------------- All papers will be peer-reviewed. Papers should be submitted in PDF format using the EasyChair online submission system via this EasyChair link . Be careful to select the CAoNS track for your submission. Submitted papers should not exceed 6 pages for short papers and 12 pages for full papers, including figures, tables and references. Accepted papers will appear in the CCIS book series published by Springer. Author instructions along with LaTex2e (preferred) and Word macro files are available at http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. For each accepted paper, at least one of the authors MUST register for the conference by the camera-ready submission deadline with a full registration. JOURNAL SPECIAL ISSUE --------------------- A special issue with selected papers will appear at a prominent journal (to be announced shortly). ORGANIZERS ---------- Program Co-Chairs: Dimitrios Katsaros, University of Thessaly (Greece) Yannis Manolopoulos, Open University of Cyprus and Aristotle University of Thessaloniki (Greece) PROGRAM COMMITTEE MEMBERS ---------- (List to be populated further) Richard Cbeir (U. de Pau et des Pays de l'Adour, FR) Maria Halkidi (U. Piraeus, GR) Andreas Kaltenbrunner (U. Pompeu Fabra, ES) Evangelos Kanoulas (U. Amsterdam, NL) Fragkiskos Malliaros (U. Paris-Saclay, FR) Fragkiskos Papadopoulos (Technical U. of Cyprus, CY) Dimitrios Papakostas (Hellenic Air Force, GR) Dimitrios Rafailidis (U. Thessaly, GR) Ryan Rossi (Adobe, US) Alex Thomo (U. Victoria, CA) Sherali Zeadally (U. Kentucky, US) CONTACT ------- Please email all questions about submissions to Dimitrios KATSAROS or Evangelia FRAGKOU From papaleon at sch.gr Mon Apr 5 10:25:06 2021 From: papaleon at sch.gr (Papaleonidas Antonis) Date: Mon, 5 Apr 2021 17:25:06 +0300 Subject: Connectionists: ICCCI 2021 CALL FOR PAPERS Message-ID: <00d401d72a27$7a5e23c0$6f1a6b40$@sch.gr> ********************************* CALL FOR PAPERS ********************************* Conference: ICCCI 2021 Name: 13th International Conference on Computational Collective Intelligence Conference web site: http://www.iccci.pwr.edu.pl/ Date: Sep 29-Oct 01, 2021 Venue: Amilia Mare 5*, Rhodes, Greece Publication: Springer LNCS/LNAI Series (max 13 pages) Submission via EasyChair: https://easychair.org/conferences/?conf=iccci20210 ********************************* HYBRID MODE ********************************* The conference is organized in a Hybrid mode which allows for both on-site paper presentations and online presentations. The on-site part is the main mode of the hybrid conference. The online part is held for those participants who cannot travel to Rhodes or cannot get Greece visa. ********************************* IMPORTANT DATES ********************************* Paper Submission: April 15, 2021 Notification of acceptance: May 15, 2021 Camera ready papers: June 1, 2021 Registration and Payment: June 15, 2021 Conference dates: Sep 29-Oct 01, 2021 ********************************* SCOPE ********************************* Agent theory and applications Automated reasoning Cognitive modeling of agent systems Collective intelligence Collective processing Computational biology Computer vision Computational intelligence Computational security Consensus computing Cooperative systems and control Data integration Data mining for social networks Distributed intelligence Ensemble learning Evolutionary computing Fuzzy systems Geographic information systems Grey theory Group decision making Hybrid systems Information retrieval and integration Intelligent architectures Intelligent applications Intelligent buildings Intelligent control Intelligent e-learning/tutoring Intelligent image processing Intelligent networks Intelligent transportation systems Internet of Things Knowledge integration Knowledge representation Knowledge-based systems Logic in intelligence Machine Learning Mobile intelligence Multicriteria decision making Natural language processing Optimization and swarm intelligence Pattern recognition Probabilistic and uncertain reasoning Rough sets Semantic web Smart living technology Smart sensor networks Soft computing Social networks Ubiquitous computing Web intelligence and interaction ********************************* SUBMISSION DETAILS ********************************* All contributions should be original and not published elsewhere or intended to be published during the review period. Submitted papers should be prepared in English in LNCS/LNAI style and should not exceed 13 pages. Each paper is to be submitted electronically as a single PDF file through EasyChair at: https://easychair.org/conferences/?conf=iccci20210 All accepted papers must be presented by one of the authors who must register for the conference and pay the fee. The conference proceedings will be published by Springer in the prestigious series LNCS/LNAI (indexed by ISI Conference Proceedings Citation Index, DBLP, Scopus, EI Engineering Index, Google Scholar, etc.). A selected number of accepted and personally presented papers will be expanded and revised for possible inclusion in special issues in high quality scientific journals. ********************************* ORGANIZERS ********************************* Democritus University of Thrace, Greece Wroclaw University of Science and Technology, Poland ********************************* HONORARY CHAIRS ********************************* Arkadiusz W?js, Rector of Wroclaw University of Technology, Poland Fotios Maris, Vice-Rector of Democritus University of Thrace, Greece ********************************* GENERAL CHAIRS ********************************* Ngoc Thanh Nguyen, Wroclaw University of Science and Technology, Poland Lazaros Iliadis, Democritus University of Thrace, Greece ********************************* PROGRAM CHAIRS ********************************* Costin Badica, University of Craiova, Romania Ilias Maglogiannis, University of Piraeus, Greece Gottfried Vossen, University of M?nster, Germany ********************************* ORGANIZING CHAIRS ********************************* Antonios Papaleonidas, Democritus University of Thrace, Greece Krystian Wojtkiewicz, Wroclaw University of Science and Technology, Poland Adrianna Kozierkiewicz, Wroclaw University of Science and Technology, Poland ********************************* SPECIAL SESSION CHAIRS ********************************* Bogdan Trawi?ski, Wroclaw University of Science and Technology, Poland Elias Pimenidis, University of the West of England, Bristol, UK ********************************* DOCTORAL TRACK CHAIRS ********************************* Marek Kr?tkiewicz, Wroclaw University of Science and Technology, Poland Christos Makris, University of Patras, Greece ********************************* PUBLICITY CHAIRS ********************************* Antonis Papaleonidas, Democritus University of Thrace, Greece Marcin Maleszka, Wroclaw University of Science and Technology, Poland ********************************* WEBMASTER ********************************* Marek Kopel, Wroclaw University of Science and Technology, Poland ********************************* CONTACT ********************************* Academic matters: iccci at pwr.edu.pl Organizational matters: liliadis at civil.duth.gr, papaleon at civil.duth.gr Special sessions: bogdan.trawinski at pwr.edu.pl *** Apologies for cross-posting *** Dr Papaleonidas Antonios Organizing and Publicity Chair of ICCCI 2021 Civil Engineering Department Democritus University of Thrace papaleon at civil.duth.gr papaleon at sch.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Mon Apr 5 16:18:37 2021 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Mon, 5 Apr 2021 22:18:37 +0200 Subject: Connectionists: CfP (*online event*): Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC) at WETICE 2021 Message-ID: *WETICE 2021 will be an online event with a two-round CFP* (see later) *19th Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC)* Track?at IEEE WETICE 2021 http://didattica.agentgroup.unimore.it/ACEC2021 Call for Papers *Aims and Scope* Over its 18 years of existence, ACEC has focused on works?that explore?the adaptability, autonomy and intelligence of software agents for the collaboration across the enterprise. In 2021,?organizers would like to continue to explore the research on agent-based computing, but they would also?welcome works that leverage advanced adaptive techniques, non necessarily based on software agents. In addition to the?traditional domain areas, i.e., Computer Supported Collaborative Work, Workflow and Supply Chain Management, Automation in Virtual Enterprises, and Automated Distributed Service Composition, ACEC is?also interested in new adaptive techniques, e.g.,?Cloud Computing, Crowd-Sourcing, and?Social Networking. In addition to traditional papers, the forthcoming 19th episode of ACEC welcomes papers from two focus areas: * Adaptive and Agent-based Services * Adaptive Techniques for Organizational/Enterprise Use of Emerging Web Paradigms (Cloud, Crowd-sourcing, Mobile Apps) Such two themes represent important areas where software agents can leverage their distributed nature,?along with their proactive and autonomous characteristics, to provide solutions to?complex problems, which are difficult to solve?using traditional/existing technologies. *Topics of Interest* Topics of interest include, but are not limited to: * Adaptive and/or agent-mediated workflow, supply chain, and virtual?enterprises * Methodologies, languages and tools to support agent collaboration * Agent architectures and infrastructures for dynamic collaboration * Adaptive and/or Agent-based service architectures and infrastructures * Service Oriented Architectures (SOAs) based on agents * Services for dynamic agent collaboration * Agent-to-Human service interactions * Autonomous, Adaptive and/or Agent-mediated service integration * Organizational and enterprise systems that leverage the Web 2.0 * Adaptive and Agent-mediated cloud environments *Important Dates* * First-round CFP o Revised deadline: April 15, 2021 (firm) o Notification to authors: April 30, 2021 o Camera-ready deadline: May 7, 2021 * Second-round CFP o Submission deadline: July 18, 2021 o Notification to authors: August 17, 2021 o Camera-ready deadline: September 10, 2021 o Authors registration deadline: September 10, 2021 *Paper Submission* Papers should contain original contributions (not published or submitted elsewhere) and references to related state-of-the art work. Please submit your papers in PDF or PS format. Papers up to 6 pages (including figures, tables and references) can be submitted. Papers should follow the IEEE format, which is single-spaced, two columns, 10pt Times/Roman font. Papers should include a title, the name and affiliation of each author, an abstract of up to 150 words and no more than eight keywords. All submitted papers will be peer-reviewed by a minimum of three program committee members. The accepted papers will be published in the post-conference proceedings (to be published by the IEEE Computer Society Press). Authors of accepted papers must present their papers at the conference.?At least one author for each accepted paper should register and attend WETICE 2021 to have the paper published in the proceedings. The paper submission procedure is carried out using the EasyChair conference management system: https://easychair.org/conferences/?conf=wetice2021 *Track Chairs* * Federico Bergenti, Universit? degli Studi di Parma, Italy * M. Brian Blake, George Washington University, USA * Giacomo Cabri, Universit? degli Studi di Modena e Reggio Emilia, Italy * Usman Wajid, Information Catalyst, UK -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From iswc.conf at gmail.com Tue Apr 6 04:06:50 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Tue, 6 Apr 2021 10:06:50 +0200 Subject: Connectionists: CfP ISWC 2021 - Call for Research, In-Use, Resource, Doctoral Consortium papers Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org In this announcement: 1. Call for Research papers 2. Call for In-Use papers 3. Call for Resource papers 4. Call for Doctoral Consortium papers 1. Call for Research papers ******************************************* In this track of ISWC 2021, we are looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. While we welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, etc.), we also encourage contributions to research at the intersection of the Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. All papers must include method evaluations that are rigorous, repeatable and reproducible. This will be one of the key reviewing criteria. We also strongly encourage papers that provide links to the data sets, source code and queries used to evaluate their approach, and/or live deployments. Topics of interest and further details: https://iswc2021.semanticweb.org/research-track Track Chairs: - Eva Blomqvist (University of Link?ping, Sweden) - Andreas Hotho (University of W?rzburg, Germany) Contact: iswc2021-program at easychair.org 2. Call for In-Use papers ******************************************* The In-Use track at ISWC 2021 continues the tradition of demonstrating and sharing the increasing adoption of Semantic Web technologies by providing a forum for the community to explore the benefits and challenges of applying such technologies in concrete, practical use cases, beyond the research communities from which they originate, in contexts ranging from industry to government and society. The In-Use track thus seeks submissions describing applied and validated solutions such as software tools, systems or architectures that benefit from the use of Semantic Web technologies (including, but not limited to, technologies based on the Semantic Web standards). Topics of interest and further details: https://iswc2021.semanticweb.org/in-use-call Track Chairs: - Ying Ding (University of Texas at Austin, USA) - Payam Barnaghi (Imperial College London, UK) Contact: iswc2021-in-use at easychair.org 3. Call for Resource papers ******************************************* The ISWC 2021 Resources Track aims to promote the sharing of resources which support, enable or utilise semantic web research. Resources include, but not restricted to: datasets, ontologies/vocabularies, ontology design patterns, evaluation benchmarks or methods, software tools/services, APIs and software frameworks, workflows, crowdsourcing task designs, protocols, methodologies and metrics, that have contributed or may contribute to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best and well-established practices within the Semantic Web community. As such, this track calls for contributions that provide a concise and clear description of a resource and its usage. Topics of interest and further details: https://iswc2021.semanticweb.org/resources-track Track Chairs: - Stefan Dietze (GESIS, Cologne & Heinrich-Heine-University D?sseldorf, Germany)_ - Achille Fokoue (IBM Research, Yorktown Heights, NY, USA) ***** Important Dates (common to all paper tracks above) ***** - Abstracts Due: 12 April 2021 - Full Papers Due: 19 April 2021 - Author Rebuttals: 2?6 June 2021 - Notifications: 23 June 2021 4. Call for Doctoral Consortium papers ******************************************* The ISWC 2021 Doctoral Consortium (DC) will provide PhD students with an opportunity to: ? present and discuss their research ideas in a supportive, formative and yet critical environment; ? receive feedback from mentors, typically senior members of the Semantic Web research community, and peers; ? explore career pathways available after completing their PhD degree, and finally ? network and build collaborations with other members of the community. The event is intended for students who are midway through their PhD, therefore at a stage where they have articulated a reasonably detailed research proposal, preferably supported by some preliminary results. The aim is to support the students in refining their proposal and suggest possible ways to improve their research plan and achieve results with prospective greater impact. While doctoral degrees can vary in format and conduct, we aim this Call for Papers to PhD candidates in their second, or early in their third year and who will have already partially investigated some specific problems. Students will be required to submit a paper to the doctoral consortium, structured like a research proposal. All proposals submitted to the Doctoral Consortium will undergo a rigorous review process by the International Programme Committee, who will provide detailed and constructive feedback and select those submissions to be presented at the Doctoral Consortium. If accepted, students will have to register and attend the event, which will include a range of interactive activities. Details: https://iswc2021.semanticweb.org/doctoral-consortium-call DC Chairs: - Miriam Fernandez (Open University, UK) - Valentina Tamma (University of Liverpool, UK) ***** Important Dates (DC track) ***** - Papers due: 3 May, 2021 - Notification to proposers: 31 May 2021 - DC Day: 25 October, 2021 *** All deadlines are AoE (Anywhere on Earth) *** Submission link for all papers: https://easychair.org/conferences/?conf=iswc2021 Follow ISWC on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de Tue Apr 6 03:59:44 2021 From: malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de (Vinita Samarasinghe) Date: Tue, 6 Apr 2021 09:59:44 +0200 Subject: Connectionists: Postdoc in computational neuroscience - Cheng Lab - Deadline extended Message-ID: *Postdoctoral Position in Computational Neuroscience at the Institute for Neural Computation* Pending funding approval, Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a full time (currently 39.83 hours/week) *Postdoctoral position (TV-L E13) in Computational Neuroscience. * The position starts 01.07.2021 and is funded for three years. * * *Job description:* The position is part of the Collaborative Research Center ?Extinction Learning? (SFB 1280 ) and it is expected to study the principles underlying spatial learning and its extinction with reinforcement learning models. A particular focus is the role of episodic-like memory in learning and extinction processes. See https://sfb1280.ruhr-uni-bochum.de/en/research/projects/a14/ for more information. The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns . *Your Profile: * Candidates must have * a doctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English * the ability to work well in a team. Research experience in neuroscience would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe at ini.rub.de . In addition, at least two academic references mustbe sent independently to the above email address. The new deadline for applications is *April****30**^th **, 202**1*. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe at ini.rub.de -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Postfachnummer 110 Universit?tstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email: samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Apr 6 03:37:33 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 6 Apr 2021 09:37:33 +0200 Subject: Connectionists: CFP FRCCS 2021 Dijon Deadline Extended April 13, 2021 Message-ID: *COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions, we are currently evaluating hybrid and virtual options. We will make a decision in the coming weeks.* *F*rench* R*egional* C*onference* on C*omplex* S*ystems May 26 - 28, 2021 Dijon, France *FRCCS 2021* You are cordially invited to submit your contribution until *April 13, 2021 (Firm deadline).* *FRCCS 2021 (F*rench *R*egional* C*onference on *C*omplex *S*ystems 2021) is the first edition of the French Regional Conference on Complex Systems. It aims to promote interdisciplinary exchanges between regional researchers from various scientific disciplines and backgrounds (sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science). FRCCS is an opportunity to exchange and promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the perspective of complexity science. *Keynote Speakers *(To Be Updated) Alain Barrat Centre de Physique Th?orique, CNRS Marseille Guillaume Deffuant INRAE Julie Dugdale University Grenoble Alps Marten D?ring University of Luxembourg Cesar A. Hidalgo University of Toulouse Denise Pumain Panth?on-Sorbonne University Camille Roth Centre Marc Bloch CNRS Andrei Zinovyev Institut Curie *Submission Guidelines* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full paper* about *original research* ? *Extended Abstract* about published or unpublished research. It is recommended to be between 2-3 pages. They should not exceed four pages. o Submissions must follow the Springer publication format available on the journal Applied Network Science in the Instructions for Authors' instructions entry. o All contributions should be submitted in *pdf format* via *EasyChair. * *Publication* *All Accepted submissions of unpublished work will be invited for publication in a special issue (fast track procedure) in **one of the journals:* o Applied Network Science edited by Springer o Complexity edited by Hindawi *Topics include, but are not limited to: * ? *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies, and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIR* Hocine Cherifi LIB, UBFC, Dijon *ADVISORY BOARD* Cyrille Bertelle LITIS, Normastic, Le Havre David Chavalarias ISC PIF, Paris Chantal Cherifi DISP, Lyon Bertrand Jouve LISST, Toulouse Hamamache Kheddouci LIRIS, Lyon Benjamin Renoust Median Technologies, Sophia Antipolis Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From kaschube at fias.uni-frankfurt.de Tue Apr 6 08:11:58 2021 From: kaschube at fias.uni-frankfurt.de (Matthias Kaschube) Date: Tue, 6 Apr 2021 14:11:58 +0200 Subject: Connectionists: 4 fully-funded doctoral positions in experimental and computational neuroscience in Mainz and Frankfurt, Germany Message-ID: POSITIONS: The groups of Simon Rumpel at the Medical Center of the University of Mainz and Matthias Kaschube at FIAS in Frankfurt, Germany, together have four openings for fully funded doctoral positions in experimental and computational neuroscience. The two groups tightly interact on several interdisciplinary joint projects funded by the German Research Foundation (DFG). Research combines behavioral learning assays, chronic imaging of synapses and activity patterns in the auditory cortex of mice, machine learning-assisted image analysis and data analysis, and neural circuit modelling. The overarching goal of these projects is to gain a deeper understanding of the neural underpinnings of adaptive, yet stable behavior by bridging studies of the dynamic connectome, large scale population activity and behavioral learning. The positions are available immediately, for up to three years. LAB ENVIRONMENTS: The experimental work will be carried out at the Medical Center of the Johannes Gutenberg University in Mainz offering methodology for advanced approaches in systems neuroscience including two-photon microscopy and molecular interventions using AAV vector systems (www.unimedizin-mainz.de/agrumpel). The theoretical work will be carried out primarily at FIAS, a research institution dedicated to fundamental theoretical research in various areas of science (https://www.fias.science/en/neuroscience/research-groups/matthias-kaschube/). FIAS hosts state-of-the-art facilities and has tight links to neuroscience centers at the Goethe University, the Max-Planck Institute for Brain Research and the Ernst Str?ngmann Institute for Neuroscience. The Rhine-Main area including the cities of Frankfurt and Mainz is a vibrant metropolitan area in the heart of Europe and boasts a rich cultural community. Due to the strong interactive nature, mutual short- and long-term visits in both labs will be part of the project. QUALIFICATIONS: This call for applications is geared towards theoreticians as well as experimentalists, and also offers a unique opportunity to all who see themselves in between the two poles. Selection criteria include scientific enthusiasm, strong experimental or quantitative skills and past research accomplishments. Applicants must have received training and a master?s degree or equivalent in a relevant quantitative discipline including biomedicine, biology, computer science or physics. Previous experience in neurobiology is advantageous but not essential. APPLYING: Applicants should email a brief letter of intent, a detailed CV and the names of at least two scientists who can give references (in a single PDF) to Simon Rumpel (sirumpel at uni-mainz.de , emphasis on the experimental aspects) or Matthias Kaschube (kaschube at fias.uni-frankfurt.de emphasis on the computational aspects). The position is available immediately, and we look forward to reviewing applications as they arrive. Both Mainz University and FIAS are dedicated to building a diverse community in its training and employment programs. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Tue Apr 6 13:03:08 2021 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 6 Apr 2021 19:03:08 +0200 Subject: Connectionists: =?utf-8?q?=23ACDL2021=2C_4th_Online_=26_Onsite_Ad?= =?utf-8?q?vanced_Course_on_Data_Science_=26_Machine_Learning_=7C_J?= =?utf-8?q?uly_19-23=2C_2021_=7C_Certosa_di_Pontignano=2C_Siena_?= =?utf-8?b?4oCTIFR1c2NhbnksIEl0YWx5?= Message-ID: #ACDL2021, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders ACDL 2021 ? A Unique Experience: #DataScience, #MachineLearning & #ArtificialIntelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano (Online attendance available) Certosa di Pontignano, Siena - #Tuscany, Italy July 19-23 https://acdl2021.icas.cc acdl at icas.cc ACDL 2021 (as ACDL 2020): an #OnlineAndOnsiteCourse https://acdl2021.icas.cc/acdl-2021-as-acdl-2020-an-online-onsite-course/ REGISTRATION: Early Registration: by April 9 https://acdl2021.icas.cc/registration/ DEADLINES: o Early Registration: by April 9 o Oral/Poster Presentation Submission Deadline: April 9 o Late Registration: from April 10 o Accommodation Reservation at Reservation at the Certosa di Pontignano: by Saturday July 10, 2021 o Notification of Decision for Oral/Poster Presentation: by Monday May 31, 2021 ACDL 2021 LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. https://acdl2021.icas.cc/lecturers/ * Pierre Baldi, University of California Irvine, USA * Bettina Berendt, KU Leuven, Belgium * Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation * Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft Research Cambridge & University of Edinburgh * Silvia Chiappa, DeepMind, London, UK * Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI * Marco Gori, University of Siena, Italy * Georg Gottlob, Computer Science Dept, University of Oxford, UK * Michael I. Jordan, University of California, Berkeley, USA * Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK * Panos Pardalos, University of Florida, USA * Daniela Rus, MIT, USA) Director of CSAIL (TBC) * Silvio Savarese, Stanford, University, USA Institute for Human-Centered Artificial Intelligence * Cristina Savin, New York University, Center for Neural Science and Center for Data Science, USA * Naftali Tishby, Hebrew University, Israel * Isabel Valera, Saarland University, Germany Max Planck Institute for Intelligent Systems, T?bingen, Germany * Mihaela van der Schaar, University of Cambridge, UK More Keynote Speakers to be announced soon. ACDL 2021 TUTORIAL SPEAKERS: * Roman Belavkin, Middlesex University London, UK * Mart?n G?mez Ravetti, Federal University of Minas Gerais, Brazil More Tutorial Speakers to be announced soon. PAST LECTURERS: https://acdl2021.icas.cc/past-lecturers/ * Ioannis Antonoglou, Google DeepMind, UK * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Roman Belavkin, Middlesex University London, UK * Yoshua Bengio, University of Montreal, Canada * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Giuseppe Di Fatta, University of Reading, UK * Marco Gori, University of Siena, Italy * Yi-Ke Guo, Imperial College London, UK & Founding Director of Data Science Institute * Phillip Isola, MIT, USA * Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Ilias S. Kotsireas, Wilfrid Laurier University, Canada * Risto Miikkulainen, University of Texas at Austin, USA * Peter Norvig, Director of Research, Google * Panos Pardalos, University of Florida, USA * Alex 'Sandy' Pentland, MIT & Director of MIT?s Human Dynamics Laboratory, USA * Jos? C. Principe, University of Florida, USA * Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA * Dolores Romero Morales, Copenhagen Business School, Denmark * Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA * Guido Sanguinetti, The University of Edinburgh, UK * Josh Tenenbaum, MIT, USA * Naftali Tishby, Hebrew University, Israel * Mihaela van der Schaar, University of Cambridge * Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands * Oriol Vinyals, Google DeepMind, UK SCOPE: MSc students, PhD students, postdocs, junior/senior academics, and industry practitioners will be typical profiles of the attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. VENUE: The venue of ACDL 2021 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2021.icas.cc/venue/ ACCOMMODATION: https://acdl2021.icas.cc/accommodation/ PAST EDITIONS https://acdl2021.icas.cc/past-editions/ https://acdl2018.icas.xyz https://acdl2019.icas.xyz https://acdl2020.icas.xyz/ REGISTRATION: https://acdl2021.icas.cc/registration/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. Anyone interested in participating in ACDL 2021 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in 3D or 2D :) in Tuscany next July! ACDL 2021 Organizing Committee. acdl at icas.cc https://acdl2021.icas.cc https://acdl2021.icas.cc/category/news/ https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Wed Apr 7 08:09:22 2021 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Wed, 7 Apr 2021 14:09:22 +0200 Subject: Connectionists: CFP- Special issue on Machine Learning Models in Medical Imaging - Physics in Medicine & Biology Message-ID: Focus on Machine Learning Models in Medical ImagingGuest Editors *Dr Giorgos Papanastasiou*, University of Essex, UK *Dr Alba Garc?a Seco de Herrera*, University of Essex, UK *Dr Chengjia Wang*, University of Edinburgh, UK *Prof Heye Zhang*, Sun Yat-sen University, China *Dr Guang Yang*, Imperial College London, UK *Prof Ge Wang*, Rensselaer Polytechnic Institute, USA Scope Computational medical imaging techniques aim to enhance the diagnostic performance of visual assessments in medical imaging, improving the early diagnosis of various diseases and helping to obtain a deeper understanding of physiology and pathology. Machine Learning (ML) models revolutionised multiple tasks in medical image computing, such as image segmentation, registration and synthesis, through the extensive analysis of big imaging data. Although ML models outperform classic approaches on these tasks, they remain to a large extend implicit in terms of describing the data under investigation. This limits ML model interpretability, which is one of the main barriers towards ML-based pathology detection and generalised single- or multi-modal ML analysis in medical imaging. In modern clinical practices, detailed explanations of the model behaviours are increasingly required to support reliability towards improving clinical decision making. Moreover, being of the most promising topics in ML/medical imaging research, the main challenge for developing explainable models is to offer insights and rationales whilst maintaining high learning performance. With this joint focus issue, between *Physics in Medicine and Biology* and the multidisciplinary open access journal *Machine Learning: Science and Technology* , we aim to attract original high-quality research and survey articles that reflect the most recent advances on ML models in medical imaging (MRI, CT, PET, SPECT, Ultrasound and other), by investigating novel methodologies either through interpreting algorithm components and/or exploring algorithm-data relationships. Articles will be published in one of two participating journals and we are happy to let authors choose which journal to submit to based on the criteria below. If an article submitted to one journal is found to be unsuitable for consideration, but suitable for the other, the assessing Editor will offer the author an opportunity to transfer their article. This means that duplication of peer review effort can be largely eliminated as a service to our authors. *Physics in Medicine and Biology* encourages the submission of papers that focus on the medical interpretation, clinical impact, applications and modalities and *Machine Learning: Science and Technology* encourages the submission of papers that focus on the methodology and physics-based interpretation of the technical aspects of machine learning models. Topics: We welcome researchers from academia, clinics and industry, to present their state-of-the-art scientific developments covering all aspects of ML model in medical imaging. Potential topics include but are not limited to: ? Develop and interpret ML models in single- or multi-modal (MRI, CT, Ultrasound, PET, SPECT) imaging ? Multi-task learning on multi-modality medical images ? Solidify explainability in cross-domain image synthesis between different imaging modalities or sequences (e.g. from different MRI sequences, or MRI and CT, etc.) ? Transfer learning for single- or multi-modality medical images ? ML model explainability in semi-supervised, weakly-supervised and unsupervised learning in medical imaging ? Enhance explainability through developing ML models to detect or predict pathology versus healthy statuses ? To improve explainability, combine ML with biophysical modelling and/or visual assessments from additional/complementary imaging modalities (e.g., multiple sequences in MRI, or combining MRI with Ultrasound, CT, PET or SPECT) ? To improve explainability, combine ML with other types of "reference standard" input data (e.g. clinical data, electrophysiology signals, molecular analysis, invasive methods) that can enhance ML interpretability in medical imaging ? Explain strengths and weaknesses of ML models through quantitative evaluation and interpretation of algorithm performance, especially mechanisms of adversarial attacks and associated solutions Deadline for submissions Submissions will be accepted until *31 August 2021* however submissions earlier than this date are encouraged. More information Submissions will be https://iopscience.iop.org/journal/0031-9155/page/Focus%20on%20Machine%20Learning%20Models%20in%20Medical%20Imaging -------------- next part -------------- An HTML attachment was scrubbed... URL: From ingo.steinwart at mathematik.uni-stuttgart.de Tue Apr 6 12:32:58 2021 From: ingo.steinwart at mathematik.uni-stuttgart.de (Ingo Steinwart) Date: Tue, 6 Apr 2021 18:32:58 +0200 Subject: Connectionists: Professorship (W3) Machine Learning for Simulation Science, Application Deadline is 23rd April, 2021 Message-ID: <99990470-fb3d-c81f-611c-3238e8a3097a@mathematik.uni-stuttgart.de> STUTTGART CENTER FOR SIMULATION SCIENCE ? AT THE EARLIEST CONVENIENCE The new professorship will be established at the University of Stuttgart in the context of the DFG-funded Cluster of Excellence EXC 2075 ?Data-integrated Simulation Science?. The professor will be jointly appointed by the Stuttgart Center for Simulation Science (SC SimTech) and one of the faculties of the University of Stuttgart and will be closely linked to Cyber Valley, a research consortium in the field of artificial intelligence supported by the State of Baden-W?rttemberg. We are looking for an excellent scientist with international standing who will advance the field of machine learning for simulation science in research and teaching. The new professor is expected to contribute innovative methods for machine learning and apply and integrate them in the general area of simulation sciences. The research should be tightly integrated into the project networks of the EXC SimTech (see https://www.simtech.uni-stuttgart.de ) and a combination between theoretical developments and applications to engineering and/or natural sciences is welcome. We expect contributions to teaching in the Bachelor and Master programs of the Stuttgart Center for Simulation Science and of other faculties as well as the acquisition of third-party funding and active involvement in further collaborative research projects of the University and in Cyber Valley. The requirements for employment listed in ? 47 and ? 51 Landeshochschulgesetz Baden-W?rttemberg (State regulations for institutions of higher education) apply. Please submit your application before *April 23rd, 2021* by email to jobs at simtech.uni-stuttgart.de with one PDF attachment comprising a curriculum vitae, academic degrees and certificates, full list of publications, research and teaching statements, three selected publications as well as the application form. Applications should be addressed to Prof. Dr.Thomas Ertl, Stuttgart Center for Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart, Germany. Please be aware of the risks regarding confidentiality and the integrity of your application contents when sending your application via unencrypted email. The full call can be found at https://www.simtech.uni-stuttgart.de/documents/Jobs/ML4Sim_ENG.pdf -- Prof. Dr. Ingo Steinwart Chair for Stochastics Institute for Stochastics and Applications Faculty 8: Mathematics and Physics University of Stuttgart Pfaffenwaldring 57 D-70569 Stuttgart Germany Phone: ++49 (0)711 / 685 65388 Fax: ++49 (0)711 / 685 65389 http://www.isa.uni-stuttgart.de/Steinwart/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Tue Apr 6 13:00:16 2021 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 6 Apr 2021 19:00:16 +0200 Subject: Connectionists: #ACDL2021, 4th Online & Onsite Advanced Course on Data Science & Machine Learning - Deadline: April 9th Message-ID: #ACDL2021, 4th Online & Onsite Advanced Course on Data Science & Machine Learning | July 19-23, 2021 | Certosa di Pontignano, Siena ? Tuscany, Italy #ACDL2021, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders ACDL 2021 ? A Unique Experience: #DataScience, #MachineLearning & #ArtificialIntelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano (Online attendance available) Certosa di Pontignano, Siena - #Tuscany, Italy July 19-23 https://acdl2021.icas.cc acdl at icas.cc ACDL 2021 (as ACDL 2020): an #OnlineAndOnsiteCourse https://acdl2021.icas.cc/acdl-2021-as-acdl-2020-an-online-onsite-course/ REGISTRATION: Early Registration: by April 9 https://acdl2021.icas.cc/registration/ DEADLINES: o Early Registration: by April 9 o Oral/Poster Presentation Submission Deadline: April 9 o Late Registration: from April 10 o Accommodation Reservation at Reservation at the Certosa di Pontignano: by Saturday July 10, 2021 o Notification of Decision for Oral/Poster Presentation: by Monday May 31, 2021 ACDL 2021 LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. https://acdl2021.icas.cc/lecturers/ * Pierre Baldi, University of California Irvine, USA * Bettina Berendt, KU Leuven, Belgium * Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation * Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft Research Cambridge & University of Edinburgh * Silvia Chiappa, DeepMind, London, UK * Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI * Marco Gori, University of Siena, Italy * Georg Gottlob, Computer Science Dept, University of Oxford, UK * Michael I. Jordan, University of California, Berkeley, USA * Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK * Panos Pardalos, University of Florida, USA * Daniela Rus, MIT, USA) Director of CSAIL (TBC) * Silvio Savarese, Stanford, University, USA Institute for Human-Centered Artificial Intelligence * Cristina Savin, New York University, Center for Neural Science and Center for Data Science, USA * Naftali Tishby, Hebrew University, Israel * Isabel Valera, Saarland University, Germany Max Planck Institute for Intelligent Systems, T?bingen, Germany * Mihaela van der Schaar, University of Cambridge, UK More Keynote Speakers to be announced soon. ACDL 2021 TUTORIAL SPEAKERS: * Roman Belavkin, Middlesex University London, UK * Mart?n G?mez Ravetti, Federal University of Minas Gerais, Brazil More Tutorial Speakers to be announced soon. PAST LECTURERS: https://acdl2021.icas.cc/past-lecturers/ * Ioannis Antonoglou, Google DeepMind, UK * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Roman Belavkin, Middlesex University London, UK * Yoshua Bengio, University of Montreal, Canada * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Giuseppe Di Fatta, University of Reading, UK * Marco Gori, University of Siena, Italy * Yi-Ke Guo, Imperial College London, UK & Founding Director of Data Science Institute * Phillip Isola, MIT, USA * Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Ilias S. Kotsireas, Wilfrid Laurier University, Canada * Risto Miikkulainen, University of Texas at Austin, USA * Peter Norvig, Director of Research, Google * Panos Pardalos, University of Florida, USA * Alex 'Sandy' Pentland, MIT & Director of MIT?s Human Dynamics Laboratory, USA * Jos? C. Principe, University of Florida, USA * Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA * Dolores Romero Morales, Copenhagen Business School, Denmark * Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA * Guido Sanguinetti, The University of Edinburgh, UK * Josh Tenenbaum, MIT, USA * Naftali Tishby, Hebrew University, Israel * Mihaela van der Schaar, University of Cambridge * Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands * Oriol Vinyals, Google DeepMind, UK SCOPE: MSc students, PhD students, postdocs, junior/senior academics, and industry practitioners will be typical profiles of the attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. VENUE: The venue of ACDL 2021 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2021.icas.cc/venue/ ACCOMMODATION: https://acdl2021.icas.cc/accommodation/ PAST EDITIONS https://acdl2021.icas.cc/past-editions/ https://acdl2018.icas.xyz https://acdl2019.icas.xyz https://acdl2020.icas.xyz/ REGISTRATION: https://acdl2021.icas.cc/registration/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. Anyone interested in participating in ACDL 2021 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in 3D or 2D :) in Tuscany next July! ACDL 2021 Organizing Committee. acdl at icas.cc https://acdl2021.icas.cc https://acdl2021.icas.cc/category/news/ https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences -------------- next part -------------- An HTML attachment was scrubbed... URL: From appukuttan.shailesh at gmail.com Wed Apr 7 09:22:29 2021 From: appukuttan.shailesh at gmail.com (Shailesh Appukuttan) Date: Wed, 7 Apr 2021 15:22:29 +0200 Subject: Connectionists: EBRAINS Training on Model Validation In-Reply-To: References: Message-ID: *EBRAINS Training on Model Validation* *4?7 May 2021* https://www.humanbrainproject.eu/en/education/training-on-model-validation/ The HBP Education Programme is organising a training on Model Validation. This training will guide modellers and experimentalists in model validation (comparing simulation results to experimental data) using the EBRAINS Model Validation Framework. The training will take place *virtually* over 4 days. Participation in the Training is open to the entire student and researchers community, regardless of whether they are affiliated with the HBP or not. We encourage young scientists to register and aim at an equal gender representation. *Registration will be open until 20 April 2021 and is free of charge.* *Call for Submissions:* *For the 2nd part of the training,* we invite interested researchers to bring their own models and to send us a short abstract, describing your model. The abstracts should include: ? A short description of your model ? Simulators/tools used for developing and simulating models ? Overview of validation(s) you wish to implement during the training (specify at least one validation test), along with target (experimental) reference data ? If you have already some questions or comments, you are welcome to mention them ? If your model is already published, please include references at the end of the abstract Please send your abstract latest until *20 April 2021, 5pm (CET)* to training-support at humanbrainproject.eu Further information on abstract submission and registration: https://www.humanbrainproject.eu/en/education/training-on-model-validation/ For any further questions, please contact training-support at humanbrainproject.eu Cheers, Shailesh Appukuttan -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrijthe at gmail.com Tue Apr 6 09:54:57 2021 From: jkrijthe at gmail.com (Jesse Krijthe) Date: Tue, 6 Apr 2021 15:54:57 +0200 Subject: Connectionists: PhD Position on Causal Inference & Machine Learning at TU Delft Message-ID: *PhD Position on Causal Inference & Machine Learning* We are looking for an enthusiastic candidate to come work with us on studying, developing and implementing causal inference methods. This is a fully funded, 4-year position at TU Delft, The Netherlands. For more information and details on the application procedure, please see: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=2408&jobTitle=PhD%20on%20Causal%20Inference%20%26%20Machine%20Learning%20 *Application deadline: 19 April 2021* Best regards, Jesse Krijthe Assistant Professor Machine Learning Department of Intelligent Systems TU Delft -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Wed Apr 7 10:41:58 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 7 Apr 2021 14:41:58 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS'2021 -- submission deadline extended In-Reply-To: References: , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2021 2021 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 6--9, 2021 Conference will be Virtual http://sbp-brims.org/ #sbpbrims SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. IMPORTANT DATES: Regular Paper Submission: 16-April-2021 (Midnight EST) Author Notification: 06-May-2021 Camera-ready Submission (Regular Papers): 16-May-2021 Working/Late-breaking Paper: 23-May-2021 Doctoral Consortium: 23-May-2021 Tutorial, Demo Submission: 23-May-2021 Acceptance Notification: 14-June-2021 Challenge Submission: 23-May-2021 Challenge Notification: 14-June-2021 Final Video and PowerPoint Submission: 28-June-2021 Submit your paper here. Until the final paper deadline, you will be able to update your submission. Note, all papers undergo a rigorous peer review process for presentation in the plenary, regular, or poster sessions. All papers accepted to the plenary sessions will be published in the archival proceedings - the Springer LNCS volume. Only Regular papers will be evaluated for either the archival or online proceedings. The remaining tracks will be published online for 1 year on our non-archival conference website. Each accepted paper requires confirmation of conference registration and requires a separate registration prior to being considered for a plenary session (oral or poster). PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. Special Track on Human-Agent Teaming This year we are soliciting papers for a special workshop on human-agent teaming (or human-AI teaming) to be held during the conference. When submitting your paper in EasyChair please whether you want to be considered for this track. Special Track on COVID-19 & Validation This year we are soliciting papers for a special workshop on the COVID-19 pandemic to be held during the conference. We are particularly interested in papers focused on validation studies of models and tools used for COVID-19 response efforts. Validation studies evaluate the influence of important threats to validity, such as missing data, measurement error, and confounding. Validation studies are particularly important for assessing the utility of models and tools outside of similar settings (e.g., application of models and tools to the next pandemic or global disaster). When submitting your paper in EasyChair please indicate whether you want to be considered for this track. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of travel scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. TOPICS: Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interest include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling Agent-based modeling * Group formation, interaction, and/or evolution * Collective action and governance * Cultural patterns & representation * Social conventions, social contexts and processes * Influence process, recognition, and diffusion * Public opinion representation, identification and modeling Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes overtime * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military, Cyber, & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. * Late breaking and short papers are now referred to as working papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kashefy at ni.tu-berlin.de Wed Apr 7 10:46:14 2021 From: kashefy at ni.tu-berlin.de (Youssef Kashef) Date: Wed, 7 Apr 2021 16:46:14 +0200 Subject: Connectionists: Research Assistant (PhD Position): Computational models of sleep oscillations during non-REM sleep @TU Berlin Message-ID: Neural Information Processing Group @ Technische Universit?t Berlin Research Assistant (PhD Position) in Computational Neuroscience Computational models of sleep oscillations during non-REM sleep Salary grade E13 (TV-L Berliner Hochschulen) Duration: 5 years Starting date: June 1st, 2021 Reference number: IV-239/21 Working field: The successful candidate will work the computational modelling of sleep rhythms in the context of memory consolidation during non-REM sleep and on the effect of perturbations by transcranial electrical stimulation (cf. Aspart et al. 2018, PLoS Comput Biol 14, e1006124.; Cakan & Obermayer 2020, PLoS Comput Biol 16, e1007822; Cakan et al., 2021, arXiv:2011.14731v2). She/he is expected to collaborate with the theoretical and experimental/clinical research groups of the DFG-funded CRCs 910 (control of self-organizing nonlinear systems, https://www.itp.tu-berlin.de/sfb910/) and 1315 (mechanisms and disturbances in memory consolidation, https://www.sfb1315.de/). Teaching obligations include the supervision of tutorials for courses of the research group in the machine learning field (Master level). Requirements: Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in dynamical systems and machine learning; very good programming skills; very good command of the German and English languages. How to apply: Please send your application with the reference number and with the usual documents (CV, motivation letter, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Klaus Obermayer, FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstrasse 23, 10587 Berlin, Germany, or preferably by e-mail to klaus.obermayer at tu-berlin.de. For information about the research group see https://www.ni.tu-berlin.de/. Please send copies only. Original documents will not be returned. The vacancy is also available on the internet at http://www.personalabteilung.tu-berlin.de/menue/jobs/ Application deadline for full consideration: 7. 5. 2021. Applications will be accepted until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From matej.hoffmann at fel.cvut.cz Wed Apr 7 15:43:00 2021 From: matej.hoffmann at fel.cvut.cz (Matej Hoffmann) Date: Wed, 7 Apr 2021 21:43:00 +0200 Subject: Connectionists: Postdoc in neural network and robot models of body representations Message-ID: <5158ca5c-b204-d9f4-49e2-ace7c38488eb@fel.cvut.cz> ** *Dear colleagues, * *** there is a postdoc openingin the humanoid, cognitive, neuro-, and collaborative robotics group (https://cyber.felk.cvut.cz/research/groups-teams/humanoids/) coordinated by Dr. Matej Hoffmann (https://sites.google.com/site/matejhof/) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. In the context of a 5-year project entitled ?Whole-body awareness for safe and natural interaction: from brains to collaborative robots? for excellence in fundamental research from the Czech Science Foundation (seehttps://cyber.felk.cvut.cz/news/new-gacr-expro-project for more information), we seek a postdoctoral researcher to conduct research in some of the following areas: - Neural network models of multisensory integration, body schema, and reaching development - Employing humanoid robots with artificial skin to construct embodied computational models of body and peripersonal space representations The postdoc will independently conduct research and will also be involved in shaping the research of the group and supervising students. Robots and infrastructure The humanoids group has at its disposal several humanoid robots (iCub, 2 Naos - 1 with whole-body sensitive skin) and collaborative or lightweight manipulators (KUKA LBR iiwa, UR10e with Airskin, Kinova Gen3). Additional infrastructure includes several robot hands (Barrett Hand BH8-282, QB Soft Hand) and grippers, a 3D Motion Capture System, impact measuring devices, etc. The group has also access to the facilities of the Research Center for Informatics such as a high-performance computational cluster. International collaborations There is a large group of international experts who have agreed to act as collaborators/advisors on the project. These include experts in - developmental psychology: Dr. Kevin O?Regan (CNRS, Paris), Prof. Jeffrey J. Lockman (Tulane University, New Orleans) - cognitive psychology and neuroscience: Prof. Matthew Longo (Birkbeck University, London), Prof. Tobias Heed (Bielefeld), Prof. Andrea Serino (University of Lausanne), Dr. Jean-Paul Noel (Center for Neural Science at New York University), Drs. M.Gori and Giulia Cappagli (Italian Institute of Technology, Dr. S. Signorini (IRCSS Fondazione Mondino Pavia) Prague There is currently a very lively international ecosystem in the areas of robotics and AI - at the Department and in Prague in general. See, for example, http://rci.cvut.cz/or https://prg.ai/en/. We seek applicants with a background in computational modeling, artificial neural networks or machine learning, with interest in neuroscience. Background in robotics is not required. How to apply. The application should include: -Motivation letter (max. 1 page) - CV (including 2 reference persons) -1 Letter of recommendation (can be from 1 of the reference persons above) Please send the application or inquiries to matej.hoffmann at fel.cvut.czwith (?postdoc application? in the subject). The position is open until filled. * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo namesti 13 121 35 Praha 2, Czech Republic +420 224 357 387 https://sites.google.com/site/matejhof/home https://cyber.felk.cvut.cz/humanoids -------------- next part -------------- An HTML attachment was scrubbed... URL: From jost at mis.mpg.de Thu Apr 8 02:40:18 2021 From: jost at mis.mpg.de (J. Jost) Date: Thu, 8 Apr 2021 08:40:18 +0200 Subject: Connectionists: Please post Message-ID: *PhD position for research in the field of mathematic network analysis* (Prof. Jost, for more information see https://www.mis.mpg.de/jjost/research.html) We offer a PhD position (f/m/d) in the field of mathematical network analysis. It is embedded in the research project "DISCRETE CURVATURES FOR NETWORKS: COMPARISON AND APPLICATIONS" funded by the German-Israeli Foundation for Scientific Research and Development (G.I.F.). In this project, new geometric methods for the analysis of networks will be developed and applied to empirical network data. The payment is comparable to the German scale TV?D E13 (65 %). The position is limited to three years and must start no later than 01.07.2021. The institute encourages applications from women and minorities. Task: Research in the field of mathematical network analysis Requirements: -- Successfully completed studies in computer science, mathematics, physics or comparable qualification (Master) -- Very good knowledge in a relevant mathematical area, such as geometry and topology, graph theory or theory of dynamical systems -- Very good programming skills in a high-level language (C++, Python, or similar) -- Very good analytical and conceptual skills -- Interest in independent scientific work -- Interest in working in a multidisciplinary team of mathematicians, physicists and computer scientists -- High level of commitment, personal responsibility, ability to work in a team, flexibility -- Very good English language skills, both written and spoken We offer -- Possibility to write a PhD thesis in mathematics or computer science (depending on the specific topic and methodology) -- The opportunity to help shaping the future of new technologies and analytical methods in various application areas in a dynamic research environment -- ntegration into a highly motivated and efficient research group at the Max Planck Institute for Mathematics in the Sciences -- Leipzig is an extremely attractive, exciting city with many lakes and water-rich surroundings, as well as a very lively and alternative cultural scene Your application should include-- CV -- transcript of examination results -- a copy of the master thesis (if applicable) and -- names and contact data of two or more academic teachers willing to write a letter of recommendation Please send your complete application to application_gif at mis.mpg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From mcruz at uni-osnabrueck.de Thu Apr 8 05:42:37 2021 From: mcruz at uni-osnabrueck.de (mcruz at uni-osnabrueck.de) Date: Thu, 8 Apr 2021 11:42:37 +0200 Subject: Connectionists: New Online Master Program for Cognitive Science M.Sc. References: <33cabeaf-16a5-4848-b059-2e4e4ae87ea2@Spark> Message-ID: Dear all, We are very excited to announce that the Institute of Cognitive Science at Osnabr?ck University will offer a new digital track of the Cognitive Science M.Sc. program! The DAAD-funded program targets international students who can successfully complete most of the coursework remotely. Possible focus areas include Artificial Intelligence, Neuroinformatics, and Neuroscience. In addition to the online coursework, students will be present in Osnabr?ck for 2-3 weeks every academic year. During this period, students will be able to get to know one another and participate in courses and face-to-face exams. This also gives students a chance to get to know the city of Osnabr?ck, learn about German culture, and gain insight into the work-life in Germany through possible internships and company visits. The program will be open for applications soon - check out our website (https://www.ikw.uni-osnabrueck.de/en/courses_of_study/master_program/cognitive_science_msc/online_master_program.html) for more details. Please do not hesitate to contact us (os-cosmos at uni-osnabrueck.de) with further inquiries! We look forward to hearing from you. Best wishes, Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz at uni-osnabrueck.de Institut f?r Kognitionswissenschaften und virtUOS Universit?t Osnabr?ck Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz at uni-osnabrueck.de Institut f?r Kognitionswissenschaften und virtUOS Universit?t Osnabr?ck -------------- next part -------------- An HTML attachment was scrubbed... URL: From vassilisvas at gmail.com Thu Apr 8 04:35:41 2021 From: vassilisvas at gmail.com (Vassilis Vassiliades) Date: Thu, 8 Apr 2021 11:35:41 +0300 Subject: Connectionists: [jobs] PhD Fellowships at CYENS Centre of Excellence, Cyprus / Deadline: 12 April 2021 Message-ID: Dear colleagues, We are accepting applications for doctoral student fellowships at the CYENS Centre of Excellence , located in sunny Nicosia, Cyprus. CYENS' Doctoral Training Program (DTP) aims to provide the best possible experience of impactful collaboration, following best practices from across Europe. CYENS' DTP is a far more valuable and engaging experience compared to working only with an individual supervisor or a small group in a University. The CYENS DTP experience provides a collaborative cohort environment, in addition to offering a wide range of projects, research and innovation activities and training opportunities fostering knowledge transfer and student engagement with the wider community and the partner institutions. For more information please visit: https://www.cyens.org.cy/en-gb/vacancies/job-listings/research-associates/phd-fellowships-cyens-doctoral-training-program/ Regards, Vassilis Vassiliades -------------- next part -------------- An HTML attachment was scrubbed... URL: From amura at ibecbarcelona.eu Thu Apr 8 04:37:01 2021 From: amura at ibecbarcelona.eu (anna mura) Date: Thu, 8 Apr 2021 10:37:01 +0200 Subject: Connectionists: CfP Living Machines Conference 2021. 27-30 July 2021 Message-ID: Dear all, please share this post with your colleagues **apologies for double posting ------------------------------------------------- Call for Participation Living Machines 2021. The 10th International Conference on Biomimetic and Biohybrid Systems 27 ? 30 July 2021. To be hosted online http://livingmachinesconference.eu/2021 __________________________________________________________________ About Living Machines 2021 The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant, and efficient solutions to unsolved science and engineering challenges. Biohybrid systems are formed by combining at least one biological component?an existing living system?and at least one artificial, newly-engineered component. Bypassing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The conference theme also encompasses biomimetic methods for manufacture, repair, and recycling inspired by natural processes such as reproduction, digestion, morphogenesis, and metamorphosis. For the 10th edition of the conference, we seek to highlight the most exciting international fields of research united by the theme of "Living Machines". Due to the restrictions imposed by the COVID-19 pandemic, the 2021 edition of the Living Machines conference will have a streamlined online format to assure continuity of the Living Machines conference, community engagement, and support. Program and Participation to the 2021 special edition "10 years of Living Machines". This special edition will be dedicated to reflecting on how the field of Living Machines has evolved over the last 10 years and how it will progress in the next 10 years. For this reason, we will have retrospective and prospective contributions from leaders in the field. The following are some examples of "Living Machines" as featured at past conferences: ? Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. ? Biomimetic computers?neuromimetic emulations of the physiological basis of intelligent behaviour. ? Active biomimetic materials and structures that self-organize and self-repair or show other bio-inspired functions. ? Nature-inspired designs and manufacturing processes. ? Artificial organs and body parts, including sensory organ-chip hybrids and intelligent prostheses. ? Organism-level biohybrids such as robot-animal or robot-human systems. ? Control principles underlying embodied perception, cognition, and action. ? Synthetic biology and synthetic consciousness. ? Artificial intelligence based on biomimetics. The Living Machines 2021 program includes: ? One day Plenary Lectures July 27, 2021 As this special edition features the 10 years of Living Machines, plenary speakers will highlight the relevant contributions to the fields of biomimetics and biohybrid systems and help to address two main questions: have these fields evolved in the last 10 years, what will be their unique challenges and expected progress in the next 10 years, and how will they impact society? ? Three-days of dedicated Workshops 28-30th July 2021 Active researchers in biomimetic and biohybrid systems are invited to participate in full or half-day workshops on Living Machines related themes from 28-30 July 2021 Workshops?s speakers will be invited to submit manuscripts or participate in the preparation of perspective articles for publication in a special issue of Bioinspiration and Biomimetics following the event. Deadline Confirmation of participation: May 30, 2021 Registration. Attendance to the plenary talks and workshops will be granted upon registration and will entail a fee of 100?, to support the recording and post-production of the lectures and their distribution. ------------------------------------------------------------------------------------------------------------------------ Six Workshops Participants to the workshops are invited to either give a short presentation or a live demonstration of their work. Please select the workshop where you would like to contribute and send your abstract (max 2000 words) to the corresponding workshop organizers. Workshop 1: Bio-inspired Locomotion We will bring together biologists and roboticists to explore the design and control of living machines for the purpose of locomotion in the natural world. This workshop will cover both biomechanics and neural organization, and how the systems work together to achieve effective interactions with the physical environment. Organizers: Alexander Hunt, Portland State University, US - ajh26 at pdx.edu Workshop 2: Perspective for soft robotics: the field's past and future The soft robotics workshop will be focused on answering five question concerning the past and future of soft robots: how to produce them; make them move, sense, and think; and how to educate using soft robots? With a concluding discussion about the field's challenges for the next 5 to 10 years. Organizers: Falk Tauber, University of Freiburg, DE - falk.tauber at biologie.uni-freiburg.de Marc Desmulliez, Heriot-Watt University, UK - M.Desmulliez at hw.ac.uk Workshop 3: Neuro Robotics This workshop will address embodied autonomous systems, synthetic neural systems and the control principles underlying embodied perception, cognition and action. Organizers: Uriel Martinez-Hernandez, University of Bath, UK u.martinez at bath.ac.uk Vicky Vouloutsi, Technology Innovation Institute, UAE vicky.vouloutsi at tii.ae Workshop 4: "How does science on invertebrates uniquely advance robotics?" Organizers: Scientists have used invertebrates as a model to test and validate robots of different kinds. In this workshop, we will explore the work done at the intersection of robotics and the world of invertebrates and highlight the most advanced approaches where interactions between the two fields have achieved relevant insights. Organizers: Michael Mangan, University of Sheffield, UK - m.mangan at sheffield.ac.uk Nicholas Szczecinski, West Virginia University, US nss00001 at mix.wvu.edu Workshop 5: It's Alive!: Biohybrid robots made from living materials. This workshop will bring together speakers in tissue engineered biohybrid robots, bacteriobots, and cyborgs to discuss 10-years of progress in biohybrid robotics and future challenges in the field. The workshop will conclude with a panel with all the speakers to discuss the next 10-years of biohybrid robotics and living machines. Organizers: Vickie Webster-Wood, Carnegie Mellon University, US - vwebster at andrew.cmu.edu Masahiro Shimizu, Osaka University, Japan - shimizu at sys.es.osaka-u.ac.jp Workshop 6: Plant functions, hybrid systems, and plant robotics This workshop is a great platform to discuss plant functions that can inspire robotics, as well as hybrid systems in which living plants become key components interacting with artificial technologies. Organizers: Fabian Meder, Italian Institute of Technology - fabian.meder at iit.it General Information and Workshops Acceptance Criteria Each contribution to the proposed workshops will be reviewed by the members of the workshop program committee and ranked based on quality and scientific contribution to the Living Machines fields of interest. Please note that the duration of each workshop might need to be adjusted based on the overall number of contributions received. Workshops attendees must register for each workshop they wish to attend. Expected Deadlines May 30, 2021 Expression of interest for Participation June 15, 2021 Notification of acceptance July 27-30, 2021 Plenary talks and Workshops Conference Steering Committee - Paul Verschure, IBEC, BIST, ICREA, CSN foundation, ES - Tony Prescott, University of Sheffield, CSN foundation, UK - Thomas Speck, University of Freiburg, DE - Marc Desmulliez, Heriot-Watt University, UK - Jose Halloy, Paris Diderot University, FR - Masahiro Shimizu, Osaka University, JP - Nathan Lepora, University of Bristol, UK - Roger Quinn, Case Western Reserve University, US - Joseph Ayers, Northeastern University, US - Mark Cutkosky, Stanford University in California, US - Barbara Mazzolai, Italian Institute of Technology (IIT), IT - Cecilia Laschi, Scuola Superiore Sant'Anna (SSSA), Italy - Koh Hosoda, Osaka University, JP - Minoru Asada, Osaka University, JP - Anna Mura, IBEC, BIST Barcelona, CSN Foundation, ES Communication and local organizer committee - Anna Mura, IBEC, Barcelona, CSN Foundation (General Organization) Contact info at convergentsciencenetwork.org ______________________ Dr. Anna Mura - PhD SPECS (Synthetic, Perceptive, Emotive and Cognitive Systems) http://www.ibecbarcelona.eu/specs @SPECS_lab Institute for Bioengineering of Catalonia (IBEC) Av. Eduard Maristany, 16 08019 Barcelona Campus Diagonal Bes?s, Edifici C, floor 6 Tel +34 934012545 Joins us 10th Living Machines conference Online (27-30 July 2021) 13th Barcelona Cognition, Brain, Technology summer school (Sept 2020) Aquest correu electr?nic cont? informaci? confidencial emparada pel secret professional. Qualsevol reproducci?, distribuci? o divulgaci? del seu contingut estan estrictament prohibides. Si vost? no ?s el destinatari, li preguem no faci difusi? ni copi? el seu contingut i ens ho notifiqui el m?s aviat possible a l'adre?a dataprotection at ibecbarcelona.eu Este correo electr?nico contiene informaci?n confidencial amparada por el secreto profesional. Cualquier reproducci?n, distribuci?n o divulgaci?n de su contenido est?n estrictamente prohibidas. Si usted no es el destinatario, le rogamos no difunda ni copie su contenido y nos lo notifique de inmediato a la direcci?n dataprotection at ibecbarcelona.eu This electronic transmission contains confidential information covered by professional secrecy. Any reproduction, distribution or disclosure of its contents is strictly prohibited. If you are not the intended recipient, you are kindly requested not to disseminate nor to copy this transmission and to notify us as soon as possible by email to dataprotection at ibecbarcelona.eu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Thu Apr 8 08:40:03 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Thu, 8 Apr 2021 14:40:03 +0200 Subject: Connectionists: VISMAC2020 Phd summer school - final list of speakers and book of abstracts available! Message-ID: <34d9a12a-3d97-6a7b-8048-af6483e0d602@unifi.it> Call for Participation - VISMAC2020 === Apologies for multiple posting === Please distribute this call to interested parties ____________________________________________ V I S M A C (VISione delle MACchine) [in English, "Machine Vision"] International Summer School September 21st - 24th, 2021, Palermo, Italy https://math.unipa.it/vismac2020 ____________________________________________ === UPDATES regarding COVID-19 (coronavirus) === VISMAC2020 is half a year away and hopefully the COVID-19 emergency will be over by then. We would like to thank all those who have already expressed interest in attending the VISMAC summer school. The school is now set to be held from the 21st to the 24th of September 2021, either as a full online event or in mixed online / live mode, depending on the developments related to COVID-19 pandemic. Please, feel free to express your interest by emailing us: we will add you to our mailing list and keep you promptly informed of any new development. Take care of yourselves, and see you soon. === Aim & Scope === The international summer school VISMAC "VISione delle MACchine" (in English, "Machine Vision") is organized every two years by the "Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning" (CVPL - ex-GIRPR) affiliated to International Association for Pattern Recognition (IAPR). It represents a stimulating opportunity for doctoral students, young researchers from universities, research institutions and industry. The primary objective of the Summer School is to provide a common scientific and cultural background on the subjects of computer vision and pattern recognition. This edition of VISMAC will mainly focus on four renowned research topics: Bio-imaging, Automotive, Cultural Heritage, Image forensics. === List of Speakers === Bio-imaging - Carlo Sansone, UNINA Federico II - Elena Casiraghi, UNIMI - Paolo Soda, UCBM - Francesco Tortorella, UNISA - Joseph Stancanello, Elekta Automotive - Sergio Saponara, UNIPI - Roberto Vezzani, UNIMORE - Alessandro Rizzi, UNIMI - Alberto Broggi, UNIPR Cultural Heritage - Gabriele Guidi, POLIMI - Carlo Colombo, UNIFI - Andrea Fusiello, UNIUD - Francesca Odone, UNIGE - Fabio Remondino, FBK Trento - Alessandro Dal Colle, Klain Robotics Image forensics - Francesco De Natale, UNITN - Gian Luca Marcialis, UNICA - Luisa Verdoliva, UNINA Federico II - Jerian Martino, Amped Software === Program === Book of abstracts can be downloaded here: https://math.unipa.it/vismac2020/resources/VISMAC2020-2021-BoA-Onine.pdf === Registration === School registrations are limited to forty participants, on a FIFS basis. Accepted students can submit a poster to present their research activity. The best poster selected by the school committee will receive a prize sponsored by CVPL. Registration info and poster guidelines will come soon. === Scientific Committee === - Domenico Tegolo, UNIPA - Cesare Valenti, UNIPA - Roberto Pirrone, UNIPA - Filippo Stanco, UNICT === Local Committee === - Marco E. Tabacchi, UNIPA - Fabio Bellavia, UNIPA === Sponsors === - CVPL (ex-GIRPR) - Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning - Universita' degli Studi di Palermo - Universita' degli Studi di Catania - CITC - Centro Interdipartimentale di Tecnologie della Conoscenza, Universita' degli Studi di Palermo - DMI - Dipartimento di Matematica e Informatica, Universita' degli Studi di Palermo ____________________________________________ Contacts https://math.unipa.it/vismac2020 vismac2020 at gmail.com From mtanveer at iiti.ac.in Thu Apr 8 14:18:22 2021 From: mtanveer at iiti.ac.in (M Tanveer) Date: Thu, 8 Apr 2021 23:48:22 +0530 Subject: Connectionists: Postdoctoral research associate in machine/deep learning for medical imaging Message-ID: Dear All, An immediate opening for 2 years postdoctoral RA position in the OPTIMAL research lab (http://iiti.ac.in/people/~mtanveer/) at IIT Indore, India under the recently funded DST NSM (National Supercomputing Mission) project with a tentative starting date 3rd week of May, 2021. Please find the attached details regarding the project along with the essential and desirable qualification of the candidate. The deadline of the application is 30th April, while the interview will take place in the first/second week of May, 2021. For any pre-application query, you are welcome to write to me (mtanveer at iiti.ac.in). With best regards, Tanveer ---------------------------------------------------------- Dr. M. Tanveer Associate Professor and Ramanujan Fellow Discipline of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: RA-Advt_04-2021.pdf Type: application/pdf Size: 482050 bytes Desc: not available URL: From sias at sscc.fr Fri Apr 9 05:40:24 2021 From: sias at sscc.fr (Symposium IAS ) Date: Fri, 9 Apr 2021 11:40:24 +0200 Subject: Connectionists: [SIAS 2021] Symposium on Intelligent and Autonomous Systems In-Reply-To: <286750618.1055499.1617868238093@email.ionos.fr> References: <025601d71694$7a316f70$6e944e50$@sscc.fr> <292994533.339190.1616577676561@email.ionos.fr> <286750618.1055499.1617868238093@email.ionos.fr> Message-ID: <002901d72d24$659f24c0$30dd6e40$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Tallinn, Estonia. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ in conjunction with " 10th International Conference on Model and Data Engineering (MEDI 2021)" SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture ? IAS modeling (formal models, SysML, UML, etc) ? Correct-by-construction in IAS ? MBSE, MDA and DDA for IAS ? Virtualization and digital twins for IAS ? Blockchains and decentralized architecture for IAS ? IAS smart Networking ? Communication protocols for IAS ? Edges, Fog, and Cloud in IAS ? Distributed database for IAS ? Web services for IAS ? Social aspects and human interaction in IAS IAS Analysis ? Artificial intelligence, deep learning, and machine learning in IAS ? Model checking and theorem proving for IAS ? Abstraction and compositional verification for IAS ? Optimization and SAT solvers for IAS ? Dynamic and static analysis for IAS ? Statistical analysis for IAS ? Testing for IAS ? Smart decision making in IAS ? Fog and edge computing for IAS IAS Assurance ? Security specification, requirements, and management in IAS ? Security in distributed IAS ? Modeling, analysis and detection of attacks in IAS ? Data mining for cybersecurity in IAS ? Security protocols for IAS ? Safety policies for IAS ? Safety reinforcement models in IAS ? Safety standard analysis for IAS ? Resilience metrics and models for IAS ? Resilience strategies and plans for IAS ? Recovery systems for IAS resiliency ? Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases ? Applications and Software Platforms for IAS ? IoT and CPS for IAS ? Smart cities ? IAS for industrial and production CPS ? Autonomous robots and vehicles ? Human-Robot Interaction ? Smart logistics (transportation, supply chain, etc) Important Dates ? Submission Date: 25 April,2021 ? Notification to Authors: 25 May, 2021 ? Camera Ready Submission: 4 June, 2021 Submission System ? https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.gilra at sheffield.ac.uk Thu Apr 8 17:06:03 2021 From: a.gilra at sheffield.ac.uk (Aditya Gilra) Date: Thu, 8 Apr 2021 22:06:03 +0100 Subject: Connectionists: Reminder / upcoming deadlines for 3 post-doc / research associate positions in neural reinforcement learning based on inference of causal models Message-ID: Dear All, Three post-doc / research associate openings to work closely together as part of a ~3 year Chist-Era project, to develop causal inference methods for explainable actions in reinforcement learning ( https://www.chistera.eu/projects/causalxrl), starting in ~Q2-Q3, 2021: -> At the University of Sheffield, UK with Dr Aditya Gilra and Prof Eleni Vasilaki, with an emphasis on neural circuits -- https://www.jobs.ac.uk/job/CEH708/research-associate-in-causal-explainable-reinforcement-learning-causalxrl *(Deadline: 14th April 2021).* -> At the University of Vienna, Austria with Prof Moritz Grosse-Wentrup, with an emphasis on causal inference and brain-computer interfaces -- https://ni.cs.univie.ac.at/ (ad to appear). -> At INRIA Lille, France with Prof Philippe Preux, with an emphasis on reinforcement learning and applications -- https://jobs.inria.fr/public/classic/en/offres/2020-03209 (Deadline: 31st May 2021). Please feel free to email back for any further information. Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group & Neuroscience Institute , Department of Computer Science , University of Sheffield , UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra http://www.adityagilra.net/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Apr 8 07:30:17 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 8 Apr 2021 14:30:17 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Nicu_Sebe=3A_?= =?utf-8?q?=E2=80=9CImage_and_Video_Generation=3A_A_deep_Learning_A?= =?utf-8?q?pproach=E2=80=9D=27=2C_20th_April_2021_17=3A00-18=3A00_C?= =?utf-8?q?ET=2E_Upcoming_AIDA_AI_excellence_lectures?= Message-ID: <082701d72c6a$8dc01410$a9403c30$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Nicu Sebe (University of Trento, Italy), a prominent AI researcher internationally, will deliver the e-lecture: ?Image and Video Generation: A deep Learning Approach?, on Tuesday 20th April 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/99459774837 & Passcode: 649253 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, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Anibal Ollero (University of Seville, Spain), 4th May 2021 17:00 ? 18:00 CET. 2. Prof. John Shawe-Taylor (University College London, UK), 18th May 2021 17:00 ? 18:00 CET. More lecture infos in: http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From Auke.Ijspeert at epfl.ch Thu Apr 8 07:26:07 2021 From: Auke.Ijspeert at epfl.ch (Auke Ijspeert) Date: Thu, 8 Apr 2021 13:26:07 +0200 Subject: Connectionists: PhD position in computational neuroscience and modeling of salamander spinal locomotor circuits, EPFL, Lausanne Switzerland Message-ID: <38e18f7e-2a6c-8552-0693-fa667fb0acbd@epfl.ch> The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/ ) at EPFL (Lausanne, Switzerland) has one open *PhD student position* in *computational neuroscience and modeling of salamander spinal locomotor circuits*. The position is part of the ERC Synergy Salamandra project that will start in September 2021, together with Prof. Andras Simon (KTH Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-3/ The goals of the position are (i) to develop numerical models and simulations of the locomotor circuits in the spinal cord of the salamander, (ii) to analyze their dynamics when coupled to a simulated mechanical model of the body (interactions between central and peripheral mechanisms), and (iii) to? investigate their regenerative properties after spinal cord lesions. The models will be based on integrate-and-fire neuron models. The positions are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates need to have a Master degree in a field related to computational neuroscience, e.g. in computer science, neuroscience, or physics. The ideal candidate for this position should have a strong numerical modeling background, good programming skills, good math background (e.g. in dynamical systems), and interest in locomotion and robotics. *How to apply for the position:* Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/ ). The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs? in neuroscience, or related fields (e.g. computer science or robotics). Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert at epfl.ch (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. *Deadline and starting date:* *The ideal starting date is September 2021* (with some flexibility). Applications will be considered starting *from May 31 2021*, and then continuously until the positions are filled. *Instructions to apply* can be found here: https://www.epfl.ch/labs/biorob/openings/ Best regards, Auke Ijspeert -- ----------------------------------------------------------------- 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 erishabh at gmail.com Thu Apr 8 14:52:37 2021 From: erishabh at gmail.com (Rishabh Mehrotra) Date: Fri, 9 Apr 2021 00:22:37 +0530 Subject: Connectionists: SIGIR Industry Track (SIRIP) Speaker proposal Message-ID: Digital version of the call: https://sigir.org/sigir2021/call-for-sirip-2021-industry-track/ tl;dr: 2 page speaker proposals, due April 9 AOE The SIGIR Symposium on IR in Practice (SIRIP), formally known as the SIGIR Industry Track, provides an opportunity for researchers, engineers, practitioners, analysts and consumers to meet and discuss the latest related IR technologies as deployed in companies, big and small, and to achieve knowledge transfer across the boundary between academia and industry. SIRIP 2021 will be held as part of ACM SIGIR 2021 which will take place on July 11-15, 2021. *Important Dates* - Time zone: Anywhere on Earth (AoE) - Talk proposal due: Fri, Apr 9, 2021 23:59 AOE - Notifications : Wed, Apr 28, 2021 - Camera ready due date: Wed, May 5, 2021 Submissions must contain author details and should be submitted electronically via EasyChair: https://easychair.org/conferences?conf=sigir2021 *Submission Guidelines* We solicit position papers & speaker proposals for SIRIP talks around the following categories: - Innovative approaches used in deployed systems and products. We also encourage presentations from small companies, especially startups or spin-offs from either a university project or a large company. Papers discussing domain specific challenges are also welcome. - Position papers on the current and future state of IR in practice, and the role IR could play in shaping the next generation of information access systems. For example: - Building information retrieval systems with an emphasis on trust and safety: - Combating misinformation spread - Building privacy preserving retrieval systems - Algorithmic responsibility & fairness - Role of information retrieval in remote & virtual setting - Role of search & IR in creator economy (e.g. short video platforms, audio platforms) & marketplaces (e.g. delivery services, hospitality industry, crowdfunding platforms, retail platforms, rentals) - System design case-studies from industry practitioners, identifying best practices and design principles for learning systems, scalability aspects - Metrics and measurement techniques used at scale to understand performance of industrial systems - Presentations creating a connection with academia to solve interesting problems, including presentations from academics spending time in industry, or vice-versa, covering insights for other practitioners The presentation format of the Symposium will be decided based on submissions and interest to the wider community, and is likely to be a mix of short and long presentations as well as panels. Proposals should be at most 2 pages and follow the ACM format. Formatting guidelines are available at the ACM Website (use the ?sigconf? proceedings template). Please include: - title, abstract, main contributions, and relevancy to SIRIP 2021 themes - a brief company portrait (for startup presentations) - a short CV of the presenter(s) A condition of acceptance is that at least one author commits to attend SIRIP 2021 to present the work. The authors of accepted proposals will be invited to submit a 2-pages camera ready paper. - Hema Raghavan & Rishabh Mehrotra SIRIP 2021 co-chairs -- Rishabh Mehrotra Sr Research Scientist Spotify, London Web: www.rishabhmehrotra.com Twitter: https://twitter.com/erishabh -------------- next part -------------- An HTML attachment was scrubbed... URL: From ns779 at cam.ac.uk Fri Apr 9 05:13:39 2021 From: ns779 at cam.ac.uk (Nikola Simidjievski) Date: Fri, 9 Apr 2021 10:13:39 +0100 Subject: Connectionists: =?utf-8?q?Fwd=3A_Call_For_Papers=3A_=E2=80=99D***?= =?utf-8?b?IGl04oCmIEnigJltIGFuIGVuZ2luZWVyLCBub3QgYSBkb2N0b3Ih4oCZ?= =?utf-8?q?_=3A_First_International_Workshop_on_AI_for_Spacecraft_L?= =?utf-8?q?ongevity_=40_IJCAI_2021?= In-Reply-To: References: Message-ID: Dear colleagues, We are pleased to invite you to submit your work at the First International Workshop on AI for Spacecraft Longevity to be held in conjunction with IJCAI 2021 (tentative date 21-23 August 2021). The half-day workshop will be an excellent forum for presenting recent AI applications, exchanging ideas and discussing potential challenges on various topics pertaining to spacecraft longevity and endurance. We welcome original high-quality submissions that describe innovative research relevant (but not limited) to the following topic areas: - Data and knowledge extraction, representation, management and reasoning - Supervised and unsupervised (deep) learning methods for telemetry data - Data mining and analysis of structured and streaming telemetry data - Outlier/Anomaly/Fault detection and prognostics - Architectures for embedded artificial intelligence - Concept and contextual learning from spacecraft housekeeping data - Reinforcement learning for efficient exploration of new environments - Cloud and edge computing in space - Fault-Tolerant Space Processing, Memory, and Storage - Fault and power management approaches - Distributed and collaborative mission planning - Human-machine interactions - Intelligent decision support - Learning to plan, planning to learn With potential applications in: - Operations-enabling technology in ground and flight systems - Mission planning and management - Spaceflight operations - Autonomous spacecraft operations - Human-centric and explainable AI for operator empowerment The submission deadline for the workshop is set to* May 9th, 2021*. The submitted papers should be long up to 3 pages content (+ references). The notification of acceptance is set to May 24th, 2021. Additional workshop details are available at https://ai4spacecraft.github.io/ (the exact date of the workshop will be announced by the IJCAI 2021 organizing committee). We hope that you will respond positively to our invitation and submit your work for consideration. We would also like to invite you to share the call for papers in your network of collaborators. With best regards, Nikola Simidjievski, Dragi Kocev, Luke Lucas and Ljupco Todorovski AI4Spacecraft Longevity Workshop organizers -- *Dr. Nikola Simidjievski* *Department of Computer Science and Technology* *University of Cambridge* -------------- next part -------------- An HTML attachment was scrubbed... URL: From v.steuber at herts.ac.uk Fri Apr 9 08:46:25 2021 From: v.steuber at herts.ac.uk (Volker Steuber) Date: Fri, 9 Apr 2021 12:46:25 +0000 Subject: Connectionists: Reader/Principal Lecturer in Artificial Intelligence at the University of Hertfordshire Message-ID: Reader/Principal Lecturer in Computer Science (Artificial Intelligence) School of Physics Engineering and Computer Science/ Department of Computer Science University of Hertfordshire, Hatfield, UK FTE: Full time position working 37 hours per week (1.0 FTE) Duration of Contract: Permanent Salary: UH9 ?51,034 - ?60,905 pa dependent on relevant skills and experience Closing date: 9 May 2021 Applications are invited for an academic position as Reader/Principal Lecturer in the Department of Computer Science, University of Hertfordshire. The Department has an international reputation for teaching and research, with 64 academic staff, 40 adjunct lecturer staff, and 65 research students and postdoctoral research staff. With a history going back to 1958, the Department teaches one of the largest cohorts of undergraduate students in the UK, and also delivers a thriving online computer science degree programme. Main duties and responsibilities The person appointed will be expected to make a significant contribution to the leadership of research in the department, including gaining research awards as Principal Investigator, the development of the research environment in the department and across the University, and publishing in peer reviewed journal articles and other internationally excellent or world-leading publications in education. To contribute to the development of, and supervise and teach on, doctoral programmes in the UK and internationally in relation to a wide spectrum of AI, especially emerging topics in AI. Possible fields include, but are not limited to: ? Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms ? Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics, soft robotics, adaptive or evolutionary robotic design ? Biological and biophysical computation paradigms, systems biology, neural computation ? Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation ? Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization; causality ? Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), algebraic and category-theoretical methods in AI; modern topics in games and AI; quantum algorithms for AI ? AI and applications: financial modelling, AI and biology/physics/cognitive sciences ? Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life Preference will be given to candidates that can deliver teaching to Level 7 in a selection of relevant subjects. The appointee will also be expected to lead and develop taught modules in a range of computer science areas. For appointees with the appropriate experience, there will be the possibility of taking up the role of Head of Subject Group within the department of Computer Science. Skills and experience The appointee will strengthen the research culture in the Department by pursuing research as part of a larger research team, seeking external funding, publishing papers, supervising research students, and participating in commercial activity as appropriate. Therefore it is essential that candidates have a track record (e.g. in published, grant-funded research) in Computer Science. Additionally, experience of different types of assessment and higher education quality assurance is an essential requirement of this role. Prior experience of developing modules and/or programmes of study in Computer Science is essential in addition to significant experience of operating in a UK HE Environment, or equivalent professional experience. Readers/Principal lecturers are expected to take on duties in the capacity of leader, and hence experience of academic leader, programme leadership and line management is desirable. Good interpersonal and presentation skills with proficiency in the English Language are essential along with the ability to manage conflicting demands and work to deadlines. Qualifications required Reader/Principal Lecturer applicants must hold a First Degree and a PhD in an appropriate area of Computer Science or an equivalent, relevant postgraduate professional qualifications. In addition, the Reader/Principal Lecturer will be expected to contribute to the leadership and management academic programmes, as well as proactive participation in enterprise, knowledge transfer and/or research and scholarship in the School. There are expectations of leadership and potentially supervisory oversight of groups of staff. Readers/Principal lecturers are also expected to contribute to the richness of the academic environment, through scholarly activity, support events, projects and activities, including open days, outreach, extra curricula initiatives, and potentially act as a representative of the School or University at national or international fora. The School of Physics, Engineering and Computer Science is an Athena Swan Bronze award holder, and we are committed to providing a supportive environment and flexible working arrangements. The university also provides an onsite childcare facility and child-centred holiday clubs. Staff work with the university values, which are: Friendly, Ambitious, Collegial, Enterprising, and Student focused. Contact Details/Informal Enquiries: Informal enquiries may be addressed to Dr Simon Trainis, Head, Department of Computer Science by email: S.A.Trainis at herts.ac.uk Please note that applications sent directly to this email address will not be accepted. Closing Date: 9 May 2021 Interview Dates: TBC but candidates are advised to be available on 16 and 17 June 2021 Apply through https://www.herts.ac.uk/staff/careers-at-herts, Reference Number: 032595 Date Advert Placed: 8 April 2021 Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK +44 (0)1707 284350 biocomputation.herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From vcutsuridis at gmail.com Sat Apr 10 07:16:53 2021 From: vcutsuridis at gmail.com (Vassilis Cutsuridis) Date: Sat, 10 Apr 2021 12:16:53 +0100 Subject: Connectionists: New FRONTIERS TOPIC: Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches Message-ID: Dear colleagues, please consider submitting to the new Frontiers Topic in Systems Neuroscience: https://www.frontiersin.org/research-topics/20768/memory-processes-in-medial-temporal-lobe-experimental-theoretical-and-computational-approaches-volum Regards, --- Vassilis Cutsuridis, PhD, M.Sc, M.A. Senior Lecturer School of Computer Science University of Lincoln UK Tel: +44 (0) 1522 83 5701 Email: vcutsuridis at lincoln.ac.uk Web:http://staff.lincoln.ac.uk/vcutsuridis Personal website:http://www.vassiliscutsuridis.org/ "The greatest threat to our planet is the belief that someone else will save it" - Robert Swan "The important thing in science is not so much to obtain new facts as to discover new ways of thinking about them" ? Sir William Lawrence Bragg, 1890?1971 -------------- next part -------------- An HTML attachment was scrubbed... URL: From amulya at psu.edu Fri Apr 9 12:26:33 2021 From: amulya at psu.edu (Amulya Yadav) Date: Fri, 9 Apr 2021 12:26:33 -0400 Subject: Connectionists: Call for Papers: IJCAI Workshop on Artificial Intelligence for Social Good (AI4SG 2021) Message-ID: Dear all, We are organizing a workshop on Artificial Intelligence for Social Good at IJCAI 2021. Please consider submitting your work to this venue. CFP below! *-----------------------------------------------------------------------------------* *Apologies for cross-posting!* *3rd International Virtual IJCAI Workshop on Artificial Intelligence for Social Good (AI4SG 2021)* *Website*: https://amulyayadav.github.io/AI4SG2021/ *Submission Link*: https://easychair.org/conferences/?conf=ai4sg2021 *Important Dates:* Paper Submission Deadline: May 10th, 2021 Notification of Acceptance/Rejection: May 25th, 2021 Workshop Date: August 21st, 2021 *Scope* The field of Artificial Intelligence stands at an inflection point, and there could be many different directions in which the future of AI research could unfold. Accordingly, there is a growing interest to ensure that current and future AI research is used in a responsible manner for the benefit of humanity (i.e., for social good). To achieve this goal, a wide range of perspectives and contributions are needed, spanning the full spectrum from fundamental research to sustained deployments in the real-world. This workshop will explore how AI research can contribute to solving challenging problems faced by current-day societies. For example, what role can AI research play in promoting health, sustainable development and infrastructure security? How can AI initiatives be used to achieve consensus among a set of negotiating self-interested entities (e.g., finding resolutions to trade talks between countries)? To address such questions, this workshop will bring together researchers and practitioners across different strands of AI research and a wide range of important real-world application domains. The objective is to share the current state of research and practice, explore directions for future work, and create opportunities for collaboration. In addition, the workshop will place a special emphasis on highlighting AI approaches for tackling the COVID-19 pandemic. The organizers believe that AI research has an important role to play in providing unique insights about the pandemic and developing targeted responses; we encourage submissions from both AI researchers as well as epidemiologists, health policy researchers, and other domain experts who are interested in engaging with the IJCAI community. *Topics of Interest* We are interested in a broad range of research topics, both foundational and applied. Topics of interest include, but are not limited to: - Applications of Learning and Optimization in Societally Beneficial Domains - AI Approaches for COVID-19 - Real-world applications of game theory for security - Cybersecurity - Security applications of machine learning - Foundations of game theory for security - Adversarial/robust learning - Fake news control - Privacy protection - Agent/human interaction for preference elicitation and optimization - Protection against environmental crime - Explainable Artificial Intelligence - AI Environmental Sustainability - AI for Democracy in the Developing World *Submission Details* Submission Types - Technical Papers: Full-length research papers of up to 6 pages (excluding references and appendices) detailing high quality work in progress or work that could potentially be published at a major conference in IJCAI format. - Short Papers: Position or short papers of up to 4 pages (excluding references and appendices) in IJCAI format that describe initial work or the release of privacy-preserving benchmarks and datasets on the topics of interest. All papers must be submitted in PDF format, using the IJCAI-21 author kit . Submissions should include the name(s), affiliations, and email addresses of all authors. Submissions will be refereed on the basis of technical quality, novelty, significance, and clarity. Each submission will be thoroughly reviewed by at least two program committee members. Submissions of papers rejected from the AAMAS 2021 and IJCAI 2021 technical program are welcomed. Regards, Amulya Yadav PNC Career Development Assistant Professor Penn State University http://amulyayadav.com (On behalf of the AI4SG Organizing Committee) -------------- next part -------------- An HTML attachment was scrubbed... URL: From aldo.lipani at acm.org Sat Apr 10 17:30:13 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Sat, 10 Apr 2021 23:30:13 +0200 Subject: Connectionists: CIKM 2021 - Call for Full Papers Message-ID: <1f28f591-01d4-4179-8b45-31ae43b4af7c@Spark> Apologies for cross-posting. ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) --------------- Key Dates --------------- Full Paper Abstract Submission: ?? ?May 19, 2021 (anywhere in the world) Full Paper Submission Deadline: ?? ?May 26, 2021 (anywhere in the world) Acceptance Notification: ? ?August 9, 2021 (anywhere in the world) Final Version Submission: ? ?Aug 23, 2021 (anywhere in the world) ------------------ Topics of Interest ------------------ We encourage submissions of high quality research papers on all topics in the general areas of artificial intelligence, data science, databases , information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information ??credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation,??best practices) * Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) ----------------- Paper Submissions ----------------- Authors are invited to submit original, unpublished full-length research papers that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences. Manuscripts should be submitted to CIKM?21?s Easychair site in PDF format, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Full papers cannot exceed 9 pages plus unlimited references. Rejected full papers will not be considered for publication as short papers. Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review. At least one author of each accepted paper must register to present the work as scheduled in the conference program, and may include both oral presentation and poster sessions. Additional details for running the online conference will be published on the website shown above. ----------------- Dual Submission Policy ----------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule: * Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. * Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity. --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere the the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- PC Chair Contact Information ---------------------------- For more information, contact the appropriate PC chairs: Full Paper Track Email: cikm2021-full at easychair.org J. Shane Culpepper, RMIT University, Australia Helen Huang, The University of Queensland, Australia Hanghang Tong, University of Illinois at Urbana-Champaign, USA Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From vinxlemons at gmail.com Fri Apr 9 12:47:01 2021 From: vinxlemons at gmail.com (Vincenzo Lomonaco) Date: Fri, 9 Apr 2021 18:47:01 +0200 Subject: Connectionists: Avalanche: an End-to-End Library for Continual Learning Message-ID: Dear all, We are excited to share with you Avalanche : a project we have been working on within the ContinualAI non-profit research organization and with the support of 15+ organizations across Europe, United States and China! The main goal of Avalanche is to push Continual Learning to the next level, providing a shared, ????-?????? and ????????????? library for fast prototyping, training and reproducible evaluation of *continual learning* *algorithms*! ? *Avalanche* is a first-in-class example of open-source, community-driven software, MIT licensed and entirely ?????????? ?? *a* ???-?????? ???????? ???????????? (?? ContinualAI ). As a powerful avalanche, a Continual Learning agent incrementally improves its knowledge and skills over time, building upon the previously acquired ones and learning how to interact with the external world. We hope Avalanche may trigger the same positive reinforcement loop within the machine learning community, moving towards a more collaborative and inclusive way of doing research and helping us tackle bigger problems, ?????? and ??????, ??? ????????! ? I hope you will help us shape and achieve the Avalanche bold vision: Join our team, we are always looking for new maintainers and contributors! Or just give us a star on GitHub , a little effort that would help us a lot! ? GitHub: https://github.com/ContinualAI/avalanche ? Official Website: https://avalanche.continualai.org ? Api-Doc: https://avalanche-api.continualai.org Best regards, Vincenzo Lomonaco *********************** Vincenzo Lomonaco, PhD *Assistant Professor @ University of Pisa* *Co-Founding President & Lab Director @ ContinualAI.org * *Personal Website: http://www.vincenzolomonaco.com * *********************** * Principal Maintainer of Avalanche: an End-to-End Library for Continual Learning (Join Us )! * Co-chair of the CVPR 2021 Continual Learning Workshop (Join us June 25th!) * Co-Editor of the Special issue on AI for People (call for paper OPEN !) * Latest paper: Continual Learning for Recurrent Neural Networks: an Empirical Evaluation *********************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Sat Apr 10 23:20:11 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Sun, 11 Apr 2021 11:20:11 +0800 (GMT+08:00) Subject: Connectionists: =?utf-8?q?ACM_ICMI_2021=3A_Call_for_Demonstration?= =?utf-8?q?s_and_Exhibits=E2=80=8B?= Message-ID: <3679bf2c.22465.178bef1a871.Coremail.jiangdm@nwpu.edu.cn> Call for Demonstrations and Exhibits *************************************** ACM ICMI 2021: Call for Demonstrations and Exhibits https://icmi.acm.org/2021/index.php?id=cfd 18-22 Oct 2021, Montreal, Canada *************************************** We invite you to submit your proposals for demonstrations and exhibits to be held during the 23rd ACM International Conference on Multimodal Interaction (ACM ICMI 2021), located in Montreal, Canada, October 18-22nd, 2021. This year's conference theme is on multimodal interaction for behavioural health and virtual connectivity. Demonstrations and Exhibits: The ACM ICMI 2021 Demonstrations & Exhibits session is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive multimodal interfaces. It can also serve to introduce commercial products. Proposals may be of two types: Demonstrations or Exhibits. The main difference is that demonstrations include a 1-2 page paper, which will be included in the ACM ICMI main proceedings, while the exhibits only need to include a brief outline (no more than one page; not included in ICMI proceedings). We encourage both the submission of early research prototypes and interesting mature systems. In addition, authors of accepted regular research papers may be invited to participate in the demonstration sessions as well. Demonstration Submission: Please submit a 1-2 page description of the demonstration through the main ICMI conference management system (https://new.precisionconference.com/sigchi). Demonstration description(s) must be in PDF format, according to the ACM conference format, of no more than 2 pages in length including references (see submission format). Demonstration proposals should include a description with photographs and/or screen captures of the demonstration. A video of the proposed demo should accompany the submission (no larger than 200MB), which can be in PowerPoint format (no more than 10 slides). The demo and exhibit paper submissions are not anonymous. However, all ACM rules and guidelines related to paper submission should be followed (e.g. plagiarism, including self-plagiarism). The demonstration submissions will be peer reviewed, according to the following criteria: a) suitability as a demo, b) scientific or engineering feasibility of the proposed demo system, c) application, or interactivity, d) alignment with the conference focus, e) potential to engage the audience, and f) overall quality and presentation of the written proposal. Authors are encouraged to address such criteria in their proposals, along with preparing the short papers mindful of the quality and rigorous scientific expectations of an ACM publication. The demo program will include the accepted proposals and may additionally include invited demos from among full-length papers accepted for presentation at the conference. Please note that the accepted descriptions will be included in the ICMI main proceedings. Exhibit Submission: Exhibit proposals should be submitted following the same guidelines, formatting, and due dates as for demonstration proposals. Exhibit proposals must be shorter in length (up to one page) and more suitable for mature systems. Exhibits will not have a paper published in the ICMI 2021 proceedings. Facilities: Once accepted, demonstrators and video presenters will be provided with a table, poster board, power outlet and wireless (shared) Internet. Demo and video presenters are expected to bring with themselves everything else needed for their demo and video presentations, such as hardware, laptops, sensors, PCs, etc. However, if you have special requests such as a larger space, special lighting conditions and so on, we will do our best to arrange them. Important note for the authors: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. Attendance: At least one author of all accepted Demonstrations and Exhibits submissions must register for and attend the conference, including the conference demonstrations and exhibits session(s). Important Dates: Submission of demo and exhibit proposalsJuly 19, 2021 Demo and exhibit notification of acceptanceAugust 2, 2021 Submission of demo final papersAugust 17, 2021 Questions? For further questions, contact the Demonstrations and Exhibits co-chairs: Yelin Kim and Fabien Ringeval (icmi2021-demo-chairs at acm.org). ------------------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Fri Apr 9 11:49:07 2021 From: jose at rubic.rutgers.edu (Stephen =?ISO-8859-1?Q?Jos=E9?= Hanson) Date: Fri, 09 Apr 2021 11:49:07 -0400 Subject: Connectionists: New FRONTIERS TOPIC: BRAIN CONNECTIVITY, DYNAMICS AND COMPLEXITY Message-ID: Please considering submitting to the new Frontiers Topic in Human Neuroscience: https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynamics-and-complexity#overview -- Stephen Jos? Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB) From jaakko.peltonen at aalto.fi Sat Apr 10 15:48:40 2021 From: jaakko.peltonen at aalto.fi (Peltonen Jaakko) Date: Sat, 10 Apr 2021 19:48:40 +0000 Subject: Connectionists: MLVis 2021: Machine Learning Methods in Visualisation - Extended deadline Message-ID: MLVis 2021: Machine Learning Methods in Visualisation - Extended deadline https://www.tuni.fi/mlvis2021/ MLVis 2021 will be a co-located workshop at EuroVis 2021. It aims to bring Machine Learning and Visualization researchers together in order to exchange research ideas. We solicit short papers on machine learning methods in visualisation, from both the machine learning and visualisation communities, addressing how the two technologies can be used together to provide greater insight to end users. Paper submissions for MLVis should be at most 4 pages in MLVis 2021 latex style (provided on the website), with an additional page allowed for references. Papers are to be submitted via the PCS system, link on the website. Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library. Selected papers may be invited to ACM Transactions on Interactive Intelligent Systems. Important Dates: Submission deadline (extended): April 16, 2021 Notification deadline (extended): May 7, 2021 Camera-ready deadline: May 14, 2021 Workshop: June 14, 2021 All submission deadlines are at 23:59 Anywhere on Earth on the date indicated. From jonizhong at msn.com Sat Apr 10 02:50:50 2021 From: jonizhong at msn.com (Joni Zhong) Date: Sat, 10 Apr 2021 06:50:50 +0000 Subject: Connectionists: [CFP] 2nd CFP: SMC 2021 Special Session: Human-in-the-loop Learning System and its User-Centric Methods (Deadline 19 April) Message-ID: --- (Apologies for cross-posting; please pass along to any colleagues and students you think may be interested.) --- SPECIAL SESSION ON ?Human-in-the-loop Learning System and its User-centric Methods? The 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021) October 17-20, 2021 ? Melbourne, Australia (Code jgrt6) DEADLINES April 19, 2021: deadline for paper submission (Extended) May 26, 2021: notification of paper acceptance/rejection July 12, 2021: deadline for final camera-ready papers. Session Organizers: Dr. Junpei Zhong ? The Hong Kong Polytechnic University, Hong Kong Prof. Ahmad Lotfi ? Nottingham Trent University, UK Dr. David Ada Adama ? Nottingham Trent University, UK Dr. Weihong Chin ? Tokyo Metropolitan University, Japan Session area: Human-Machine Systems Session description: Human-in-the-Loop (HIL) means including human feedback into the training loop of the machine learning models to improve the quality of training and to augment the functions of the model. The key research problems in algorithms are how we can evaluate the uncertainty of a model?s prediction? How to leverage both active learning from a human and the optimization of the models? When we use hierarchical reinforcement learning, how can we achieve the goals when the reward is sparse? In sum, we should find an optimal solution to the trade-off between the model?s accuracy and efficiency in designing the HIL algorithms. Apart from the algorithm design, another key issue in HIL research is from a user-centric perspective, in both data collection and model evaluation steps. Since the quality of the training datasets is also extremely important, how to integrate multi-modal data from the users with different sensing techniques, such as smart gloves made by flexible sensors, portable eye-trackers, portable brain imaging techniques, is another problem. How can we design the users? subjective evaluation based on multi-modal signals? Furthermore, proper designs the interaction between machines and human could also relate to HCI and UX/UI fields etc. This special session is a follow-up session of ?HIL machine learning and its applications? in SMC2020. We offer an opportunity for researchers and practitioners in diverse fields from machine learning, robotics, designers or end-users to join the discussion. A selection of the accepted papers is welcomed to submit their extended versions to a special issue of a journal we edit later this year, subject to rigorous peer review. Topics of interest include, but are not limited to: ? Human-Centric Design for Robots or other Intelligent Devices ? Human Guided Reinforcement Learning ? Human-robot Collaboration ? Human-robot Social Interaction ? Dialogue Systems with Human-in-the-loop ? Interpretable Machine Learning with Human-in-the-loop ? Active Learning and Continuous Learning ? Learning by Demonstration ? Human Factors in HCI/HRI ? etc. SUBMISSION Papers must be submitted electronically for peer review through PaperCept by April 5, 2021: https://conf.papercept.net/conferences/scripts/start.pl. In PaperCept, click on the SMC 2021 link ?Submit a contribution to SMC 2021? and follow the steps. (Code jgrt6) All papers must be written in English and should describe the original work. For guidelines, please follow the SMC website link http://ieeesmc2021.org/call-for-papers/ DEADLINES April 19, 2021: deadline for paper submission May 26, 2021: notification of paper acceptance/rejection July 12, 2021: deadline for final camera-ready papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: SMC-2021-CFP-proposal-v2.pdf Type: application/pdf Size: 497734 bytes Desc: SMC-2021-CFP-proposal-v2.pdf URL: From fmschleif at googlemail.com Sat Apr 10 04:39:23 2021 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Sat, 10 Apr 2021 10:39:23 +0200 Subject: Connectionists: ESANN 2021 SS 3rd CFP - Federated Learning - Methods, Applications and Beyond (Deadline, 10 May 2021) Message-ID: -- Apologies in advance for multiple postings -- Call for Papers Special Session on 'Federated Learning ? Methods, Applications and Beyond' 06-08 October 2021, Bruges, Belgium https://www.esann.org/ AIMS AND SCOPE In today's world, important data is often distributed over different facilities or devices. E. g. in the context of the internet of things, smart devices, or the health care domain. In the latter one, different hospitals and private doctors, will hold different information of the same patient and models can be derived in a federated learning scheme to avoid data transmissions and to ensure privacy constraints. Just collecting data from all facilities/devices as it is, is mostly forbidden due to data privacy reasons. One direction to address this issue is given by means of differential privacy concepts. Another problem is, that in some scenarios, the data in some of the facilities are changing rapidly, and thus updated data would need to be sent to the model very frequently. Thus, minimizing communication effort is also a challenge. To address this issue, there currently exist different algorithms of the Federated Learning domain, like Federated Averaging (FedAvg), which address these problems. This special session welcomes novel research and applications in the field of Federated Learning and beyond. Especially addressing the challenges of expensive communication, systems heterogeneity, statistical heterogeneity, and privacy concerns. TOPICS We encourage the submission of papers on novel Federated Learning methods by means of computational intelligence and machine learning approaches, including but not limited to: - data analysis and pattern recognition approaches for federated environments - preprocessing approaches in collaborative learning - learning in heterogeneous systems - effective communication for updating distributed models - representation and modelling of distributed models - approximation techniques for Federated Learning - online and incremental learning (dimensionality reduction, classification, clustering and regression, outlier detection) with a particular design for federated environments - Federated Transfer Learning algorithms - Vertical Federated Learning algorithms - Horizontal Federated Learning algorithms - security and privacy preservation in federated environments - differential privacy techniques - model compression and adaptive model aggregation - application of Deep Learning in the Federated Learning context - particular interesting applications for Federated Learning e.g. in IoT, recommendation systems, medicine, sensor networks, text processing... SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: ? Paper submission deadline: 10 May 2021 ? Notification of acceptance: 20 July 2021 ? Deadline for final papers: 20 August 2021 ? The ESANN 2021 conference: 06-08 October 2021 SPECIAL SESSION ORGANIZERS: ? Frank-Michael Schleif, University of Birmingham, Birmingham, UK ? Fabrice Rossi, CEREMADE, University Paris Dauphine PSL ? Christoph Raab, University of Bielefeld, Germany ? Moritz Heusinger, University of Appl. Sc. Wuerzburg-Schweinfurt, Germany -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at fhws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From luca.oneto at unige.it Sat Apr 10 02:22:59 2021 From: luca.oneto at unige.it (Luca Oneto) Date: Sat, 10 Apr 2021 08:22:59 +0200 Subject: Connectionists: ESANN 2021 SS 3rd CFP - Complex Data: Learning Trustworthily, Automatically, and with Guarantees Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Complex Data: Learning Trustworthily, Automatically, and with Guarantees" at ESANN 2021 - https://www.esann.org/special-sessions European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021). 6-8 October 2021, Bruges, Belgium - http://www.esann.org DESCRIPTION: Machine Learning (ML) achievements enabled automatic extraction of actionable information from data in a wide range of decision-making scenarios (e.g. health care, cybersecurity, and education). ML models are nowadays ubiquitous pushing even further the process of digitalization and datafication of the real and digital world producing more and more complex and interrelated data. This demands for improving both ML technical aspects (e.g. design and automation) and human-related metrics (e.g. fairness, robustness, privacy, and explainability), with performance guarantees at both levels. The aforementioned scenario posed three main challenges: (i) Learning from Complex Data (i.e. sequence, tree and graph data), (ii) Learning Trustworthily, and (iii) Learning Automatically with Guarantees. The scope of this special session is then to address one or more of these challenges with the final goal of Learning Trustworthily, Automatically, and with Guarantees from Complex Data. The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of machine learning and other fields of research in solving real world problems. Both theoretical and practical results are welcome to our special session. TOPICS OF INTEREST: - efficient and effective models capable of directly learning from data natively structured or collected from interrelated heterogeneous sources (e.g. social and relational data, knowledge graphs), characterized by entities, attributes, and relationships, without relying on human skills to encode this complexity into a rich and expressive (vectorial) representation; - design ML models from a human-centered perspective, making ML trustworthy by design, by removing human biases from the data (e.g. gender discrimination), increasing robustness (e.g. to adversarial data perturbation), preserving individuals? privacy (e.g. protecting ML models from differential attacks), and increasing transparency (e.g. via ML models and output explanation); - automatizing the ML design and deployment parts which are currently handcrafted by highly skilled and trained specialists. For this reason, ML is required to be empowered with self-tuning properties (e.g. architecture and hyperparameter automatic selection), understanding and guaranteeing the final performance (e.g. with worst case and statistical bounds) with respect to both technical and human relevant metrics. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 10 May 2021 Notification of acceptance: 20 July 2021 ESANN conference: 6-8 April 2021 SPECIAL SESSION ORGANISERS: Luca Oneto, University of Genoa (Italy) Nicol? Navarin, University of Padua (Italy) Battista Biggio, University of Cagliari (Italy) Federico Errica, University of Pisa (Italy) Alessio Micheli, University of Pisa (Italy) Franco Scarselli, University of Siena (Italy) Monica Bianchini, University of Siena (Italy) Alessandro Sperduti, University of Padua (Italy) ---------------------------------------- Prof. Luca Oneto DIBRIS - University of Genoa web: www.lucaoneto.it e-mail: luca.oneto at unige.it ---------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladan at temple.edu Sat Apr 10 23:11:05 2021 From: vladan at temple.edu (Vladan Radosavljevic) Date: Sun, 11 Apr 2021 03:11:05 +0000 Subject: Connectionists: CfP - AdKDD @ KDD2021 Message-ID: Call for Workshop Papers AdKDD 2021 in conjunction with The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021) Virtual event , August 14th-18th, 2021 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 $300B global market size in 2021 and expected to pass $1T by 2027, online advertising has already surpassed traditional ads in global spend. Moreover, computational advertising in particular is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads help us enrich our lives and creep us out when done badly. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving, however, from ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences in new feeds on mobile devices and even on TV?all utilizing data amassed from petabytes of stored user data. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of fourteen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you virtually 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 continues to exist controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. ? Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. ? Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data and audience insights, as well as position papers on the future of online advertising. Submission Instructions: Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be eligible to be published in the ACM Digital Library and will be archived on the AdKDD website. Important Deadlines: Submission : May 25th, 2021 Decisions : June 10th, 2021 Camera-ready : June 20th, 2021 Video Submission: July 24, 2021 Workshop : August 14th, 2021 Best Paper Awards: We are happy to announce that we will award the best accepted papers for this year?s workshop. Details are to be disclosed shortly. ML Challenge: Machine Learning Challenge on Aggregated, Differentially Private Data The Online Advertising industry is seeing a major shift today in its operational constraints with a global movement towards more privacy. Popular techniques for privacy-compliant advertising such as aggregation and differential privacy mechanisms were shown to match high privacy standards but also raise concerns about the possibility to learn relevant machine learning models for ad placement. We propose in this challenge to explore the trade-off between privacy level and prediction performance, on data donated by Criteo - an industry leader that already released several open datasets for research purposes. To anchor the competition in reality, the challenge design is inspired by (and as close as possible/convenient to) current propositions in the Privacy Sandbox discussed in the Improving Web Advertising forum at W3C. Finally, we will shortly announce prize money for the winners of the competition. Stay tuned! Tentative timeline: - Apr 10th: Competition announcement - May 1st: Final tasks description and evaluation metrics published - First half of May: Competition starts - July 30th: Competition ends - Workshop day: Winners present their solutions and prizes awarded Submission Website: https://easychair.org/conferences/?conf=adkdd2021 Program Committee Chairs: Abraham Bagherjeiran (eBay) Nemanja Djuric (Aurora Innovation) Mihajlo Grbovic (AirBnB) Kuang-chih Lee (Alibaba) Kun Liu (Amazon) Vladan Radosavljevic (Spotify) Suju Rajan (LinkedIn) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From perusquia at ieee.org Sun Apr 11 21:47:37 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Mon, 12 Apr 2021 10:47:37 +0900 Subject: Connectionists: ACII21 - Second call for Tutorials Message-ID: ======================================================= Affective Computing and Intelligent Interaction (ACII) 2021 Call for Tutorial Proposals 28 Sep ? 1 Oct 2021, Virtual event http://www.acii-conf.net/2021/ ======================================================= The Conference series on Affective Computing and Intelligent Interaction (ACII) is the premier international forum for interdisciplinary research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. Affective Computing aims at the study and development of systems and devices that use emotion. The theme of the 2021 edition of the conference is ?Ethical Affective Computing? considering ethical uses, fairness, and bias in emotional AI. We encourage tutorial proposals which address topics of affective computing and intelligent interaction in introductory or advanced levels to complement the conference?s program. In general, tutorials may introduce an uprising issue to the related research discussed at ACII 2021, or reflect an overview of an important, but already established topic, both presented in an illustrative fashion. For this, we expect that the tutors focus on the state-of-the-art or the main ideas of the proposed topic rather than primarily on the presenters? own research interests. Tutorials oriented toward more applied aspects of affective computing and intelligent interaction are also welcome, such as the presentation of tools and methodologies common for the processing of affective data. The tutorials can be organised as either half-day (preferred) or full-day events and will take place at the same venue as the main conference. The proposals will be evaluated based on the impact, quality, interdisciplinary character, presentation format as well as the theme and relevance to the conference. Proposal Submission Instructions Tutorial proposals should not exceed 4 pages and have to be emailed to Shogo Okada and Guillaume Chanel. Please use ?[ACII2021] Tutorial Proposal? in the subject line. All proposals should be prepared in PDF providing the following information: - Tutorial Title - Duration: half-day, full-day Note: Half-day (3h) tutorials are preferred and are the common ACII tutorial format; Full-day (6h) tutorial proposals have to justify for the additional value - Presenter(s) Name and Affiliation - Contact Information of the Tutorial Organiser - Description of the Proposal (including a few relevant references and links to material useful for review) - Explanation of Relevance of the Proposed Tutorial - Description of Presentation Format and Style (several presenters, video conferencing, specific media, etc.) - Equipment required for the Tutorial - CV of Presenter(s) - Key Publications of Presenter(s) (especially on the Tutorial Topic) - Target Audience (e.g. early-stage or advanced researchers in the field, students, etc.) - Provided accompanying Material (specific requirements) - Other Considerations/Comments related to the Proposal or the Reviewing The tutorial organisers will take care of any specific requirements which are related to the tutorial such as specific handouts, mass storages, rights of distribution (material, handouts, etc.), copyrights, etc. **Important Dates** Tutorial Proposal Deadline: May 10, 2021 Tutorial Acceptance Notification: May 31, 2021 Tutorial day: September 28, 2021 Tutorial Contacts Please forward any questions about tutorial proposals to the tutorial chairs: Shogo Okada: [okada-s_at_jaist.ac.jp] Guillaume Chanel: [guillaume.chanel_at_unige.ch] -------------- next part -------------- An HTML attachment was scrubbed... URL: From bc at bccn-berlin.de Sun Apr 11 12:57:04 2021 From: bc at bccn-berlin.de (BC) Date: Sun, 11 Apr 2021 18:57:04 +0200 Subject: Connectionists: New issue of Biological Cybernetics: Vol 115 No 2 Message-ID: We are pleased to announce that Biological Cybernetics. Volume 115, Issue 2 is now available online. In this issue 60th Anniversary retrospective The structure of images:?1984?2021 Jan Koenderink ??Abstract ??Full text HTML ??Full text PDF Original Article Relationships between lognormal distributions of neural properties, activity, criticality, and connectivity P. A. Robinson, Xiao Gao, Y. Han ??Abstract ??Full text HTML ??Full text PDF Journal Club Deep reinforcement learning to study spatial navigation, learning and memory in artificial and biological agents Edgar Bermudez-Contreras ??Abstract ??Full text HTML ??Full text PDF Original Article Dynamical consequences of sensory feedback in a half-center oscillator coupled to a simple motor system Zhuojun Yu, Peter J. Thomas ??Abstract ??Full text HTML ??Full text PDF Original Article Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code Michael Schmuker, R?diger Kupper, Ad Aertsen, Thomas Wachtler, Marc-Oliver Gewaltig ??Abstract ??Full text HTML ??Full text PDF Original Article Open Access A numerical method for computing interval distributions for an inhomogeneous Poisson point process modified by random dead times Adam J. Peterson ??Abstract ??Full text HTML ??Full text PDF Correction Correction to: Control for multifunctionality: bioinspired control based on feeding in *Aplysia californica* Victoria A. Webster-Wood, Jeffrey P. Gill, Peter J. Thomas, Hillel J. Chiel ??Abstract ??Full text HTML ??Full text PDF Correction Correction to: A geometry- and muscle-based control architecture for synthesising biological movement Johannes R. Walter, Michael G?nther, Daniel F. B. Haeufle, Syn Schmitt ??Abstract ??Full text HTML ??Full text PDF -------------- next part -------------- An HTML attachment was scrubbed... URL: From salvadordura at gmail.com Sun Apr 11 12:34:53 2021 From: salvadordura at gmail.com (Salvador Dura) Date: Sun, 11 Apr 2021 16:34:53 +0000 Subject: Connectionists: NIH-funded course on multiscale modeling of brain circuits using NetPyNE/NEURON Message-ID: Would you like to build a model of brain circuits but don?t know where to start? Want to test a hypothesis or find an explanation for your experimental observations? Our online hands-on course (May 17 to June 1, 2021) will provide you an accelerated introduction to theory, methods, and tools to build brain circuit models at multiple scales (molecular, cellular, network, system, behavior) using the NetPyNE and NEURON tools. Our tutors will then work closely with you to help you develop your own model. See all the details and how to apply here: http://dura-bernal.org/netpyne-course-2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Mon Apr 12 04:06:51 2021 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Mon, 12 Apr 2021 10:06:51 +0200 Subject: Connectionists: Phd and Postdoc positions (France) Message-ID: <5c9de83f-e7bb-1bad-8d70-9fd486110b2e@univ-lille.fr> The BONUS (Big Optimization and Ultra-scale Optimization -https://sites.google.com/view/bonus-research-group/) research group has three PhD and one post-doctoral proposals. The detailed decsriptions can be found following the Web links given below. - PhD Position F/M [Industrial collaboration] Multi-objective automated design of deep neural networks Details in pdf file enclosed - PhD Position F/M [Campagne doctorant 2021 - CRI Lille] Quantum-assisted optimization https://jobs.inria.fr/public/classic/fr/offres/2021-03448 - PhD Position F/M [Universit? de Lille - Universit? du Luxembourg] Productivity-aware parallel cooperative combinatorial optimization for ultra-scale supercomputers https://www.cristal.univ-lille.fr/sujets-these/details.html?id=50e6963dbe064167904b46aed15d8d80 - Post-Doctoral Research Visit F/M [Campagne Post-doctorant 2021 - CRI Lille] Parallel surrogate-assisted optimization for automatic hyper-parameter and neural architecture search in Deep Learning (M/F) https://jobs.inria.fr/public/classic/fr/offres/2021-03418 Best regards, -- ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com -- L'absence de virus dans ce courrier ?lectronique a ?t? v?rifi?e par le logiciel antivirus Avast. https://www.avast.com/antivirus -------------- next part -------------- A non-text attachment was scrubbed... Name: Phd-NAS-HPO.pdf Type: application/pdf Size: 217964 bytes Desc: not available URL: From sias at sscc.fr Mon Apr 12 03:57:24 2021 From: sias at sscc.fr (Symposium IAS ) Date: Mon, 12 Apr 2021 09:57:24 +0200 Subject: Connectionists: [SIAS 2021] Symposium on Intelligent and Autonomous Systems References: <025601d71694$7a316f70$6e944e50$@sscc.fr> <292994533.339190.1616577676561@email.ionos.fr> <286750618.1055499.1617868238093@email.ionos.fr> Message-ID: <004001d72f71$8311f100$8935d300$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Tallinn, Estonia. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ in conjunction with " 10th International Conference on Model and Data Engineering (MEDI 2021)" SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture ? IAS modeling (formal models, SysML, UML, etc) ? Correct-by-construction in IAS ? MBSE, MDA and DDA for IAS ? Virtualization and digital twins for IAS ? Blockchains and decentralized architecture for IAS ? IAS smart Networking ? Communication protocols for IAS ? Edges, Fog, and Cloud in IAS ? Distributed database for IAS ? Web services for IAS ? Social aspects and human interaction in IAS IAS Analysis ? Artificial intelligence, deep learning, and machine learning in IAS ? Model checking and theorem proving for IAS ? Abstraction and compositional verification for IAS ? Optimization and SAT solvers for IAS ? Dynamic and static analysis for IAS ? Statistical analysis for IAS ? Testing for IAS ? Smart decision making in IAS ? Fog and edge computing for IAS IAS Assurance ? Security specification, requirements, and management in IAS ? Security in distributed IAS ? Modeling, analysis and detection of attacks in IAS ? Data mining for cybersecurity in IAS ? Security protocols for IAS ? Safety policies for IAS ? Safety reinforcement models in IAS ? Safety standard analysis for IAS ? Resilience metrics and models for IAS ? Resilience strategies and plans for IAS ? Recovery systems for IAS resiliency ? Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases ? Applications and Software Platforms for IAS ? IoT and CPS for IAS ? Smart cities ? IAS for industrial and production CPS ? Autonomous robots and vehicles ? Human-Robot Interaction ? Smart logistics (transportation, supply chain, etc) Important Dates ? Submission Date: 25 April,2021 ? Notification to Authors: 25 May, 2021 ? Camera Ready Submission: 4 June, 2021 Submission System ? https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Apr 12 05:43:26 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 12 Apr 2021 11:43:26 +0200 Subject: Connectionists: Last-day to submit abstracts for ISWC2021 Research, In-Use, and Resource papers Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org In this announcement: 1. Call for Research papers 2. Call for In-Use papers 3. Call for Resource papers 1. Call for Research papers ******************************************* In this track of ISWC 2021, we are looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. While we welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, etc.), we also encourage contributions to research at the intersection of the Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. All papers must include method evaluations that are rigorous, repeatable and reproducible. This will be one of the key reviewing criteria. We also strongly encourage papers that provide links to the data sets, source code and queries used to evaluate their approach, and/or live deployments. Topics of interest and further details: https://iswc2021.semanticweb.org/research-track Track Chairs: - Eva Blomqvist (University of Link?ping, Sweden) - Andreas Hotho (University of W?rzburg, Germany) Contact: iswc2021-program at easychair.org 2. Call for In-Use papers ******************************************* The In-Use track at ISWC 2021 continues the tradition of demonstrating and sharing the increasing adoption of Semantic Web technologies by providing a forum for the community to explore the benefits and challenges of applying such technologies in concrete, practical use cases, beyond the research communities from which they originate, in contexts ranging from industry to government and society. The In-Use track thus seeks submissions describing applied and validated solutions such as software tools, systems or architectures that benefit from the use of Semantic Web technologies (including, but not limited to, technologies based on the Semantic Web standards). Topics of interest and further details: https://iswc2021.semanticweb.org/in-use-call Track Chairs: - Ying Ding (University of Texas at Austin, USA) - Payam Barnaghi (Imperial College London, UK) Contact: iswc2021-in-use at easychair.org 3. Call for Resource papers ******************************************* The ISWC 2021 Resources Track aims to promote the sharing of resources which support, enable or utilise semantic web research. Resources include, but not restricted to: datasets, ontologies/vocabularies, ontology design patterns, evaluation benchmarks or methods, software tools/services, APIs and software frameworks, workflows, crowdsourcing task designs, protocols, methodologies and metrics, that have contributed or may contribute to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best and well-established practices within the Semantic Web community. As such, this track calls for contributions that provide a concise and clear description of a resource and its usage. Topics of interest and further details: https://iswc2021.semanticweb.org/resources-track Track Chairs: - Stefan Dietze (GESIS, Cologne & Heinrich-Heine-University D?sseldorf, Germany)_ - Achille Fokoue (IBM Research, Yorktown Heights, NY, USA) ***** Important Dates (common to all tracks) ***** - Abstracts Due: 12 April 2021 - Full Papers Due: 19 April 2021 - Author Rebuttals: 2?6 June 2021 - Notifications: 23 June 2021 *** All deadlines are AoE (Anywhere on Earth) *** Follow ISWC on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tom.Hanika at cs.uni-kassel.de Mon Apr 12 07:32:31 2021 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Mon, 12 Apr 2021 13:32:31 +0200 Subject: Connectionists: [2nd CFP] 26th International Conference on Conceptual Structures (ICCS 2021) at Bolzano Summer of Knowledge, Bolzano, Italy Message-ID: <6ad2cd1e-1a73-db31-1d10-6596e12a1784@cs.uni-kassel.de> [Apologies for multiple postings.] ************************************************************ 2nd Call for Papers: 26th International Conference on Conceptual Structures (ICCS 2021) September 20th-23rd, 2021, Bolzano, Italy Website: https://iccs-conference.org Twitter: @iccs_confs Contact us: contact at iccs-conference.org ************************************************************ *************** About ICCS: *************** The International Conferences on Conceptual Structures (ICCS) focus on the formal analysis and representation of conceptual knowledge, at the crossroads of artificial intelligence, human cognition, computational linguistics, and related areas of computer science and cognitive science. The ICCS conferences evolved from a series of seven annual workshops on conceptual graphs, starting with an informal gathering hosted by John F. Sowa in 1986. Recently, graph-based knowledge representation and reasoning (KRR) paradigms are getting more and more attention. With the rise of quasi-autonomous AI, graph-based representations provide a vehicle for making machine cognition explicit to its human users. This year ICCS 2021 is a part of ?Bolzano Summer of Knowledge? (BOSK 2021,https://summerofknowledge.inf.unibz.it/) which will take place in Bolzano, Italy during the month of September, 2021. Scholars, students and industry participants from different disciplines will meet for several weeks of conferences, workshops, summer schools, and public events, to engage with the broad topics, issues and challenges related to knowledge in the 21st century. Submissions are invited on significant, original, and previously unpublished research on the formal analysis and representation of conceptual knowledge in artificial intelligence (AI). All papers will receive mindful and rigorous reviews that will provide authors with useful critical feedback. The aim of the ICCS 2021 conference is to build upon its long-standing expertise in graph-based KRR and focus on providing modelling, formal and application results of graph-based systems. The conference welcomes contributions that address graph-based representation and reasoning paradigms (e.g. Bayesian Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs (CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a modelling, theoretical and application viewpoint. ********** Topics: ********** Topics include but are not limited to: Existential and Conceptual Graphs Graph-based models for human reasoning Social network analysis Formal Concept Analysis Conceptual knowledge acquisition Data and Text mining Human and machine reasoning under inconsistency Human and machine knowledge representation and uncertainty Automated decision-making and argumentation Preferences Contextual logic Ontologies Knowledge architecture and management Semantic Web, Web of Data, Web 2.0 Conceptual structures in natural language processing and linguistics Metaphoric, cultural or semiotic considerations Constraint satisfaction Resource allocation and agreement technologies Philosophical, neural, and didactic investigations of conceptual, graphical representations ******************** Important Dates: ******************** - Abstract submission deadline: April 9th, 2021 - Full paper submission deadline: April 16th, 2021 - Poster submission deadline: April 16th, 2021 ? (Posters do not require advance abstract submission) - Paper Reviews Sent to Authors: May 28th, 2021 - Rebuttals Due: June 4th, 2021 - Notification to authors: June 11th, 2021 - Camera-ready papers due: June 25th, 2021 *All deadlines are at 11:59:59PM Europe/Berlin Time* ******************** Submission Details: ******************** We invite scientific papers of up to *fourteen pages*, short contributions up to *eight pages* and extended poster abstracts of up to three pages. Papers and posters must be formatted according to Springer?s LNCS style guidelines and not exceed the page limit. Papers will be subject to *double-blind peer review*, in which the reviewers do not know the identity of authors, and the submission should be done via EasyChair https://easychair.org/conferences/?conf=iccs20211. All paper submissions will be refereed and authors will have the opportunity to respond to reviewers? comments during the rebuttal phase. Accepted papers will be included in the conference proceedings, which are will be published by Springer in the LNCS/LNAI series. Poster submissions will also be refereed but will not be included in the conference proceedings. At least one author of each accepted paper or poster must register for the conference and present the paper or poster there. Proceedings will be submitted for indexation by DBLP (cf https://dblp.org/db/conf/iccs/index.html). *************** Organizers: *************** General Chair: Tanya Braun, Institute of Information Systems, University of L?beck, Germany Program Chairs: Marcel Gehrke, Institute of Information Systems, University of L?beck, Germany Tom Hanika, Knowledge & Data Engineering, University of Kassel, Germany Nathalie Hernandez, Institut de Recherche en Informatique de Toulouse, France ***************************************** From aldo.lipani at acm.org Mon Apr 12 11:14:45 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Mon, 12 Apr 2021 17:14:45 +0200 Subject: Connectionists: CIKM 2021 - Call for Short Papers In-Reply-To: <90f6fd1a-c0e8-4f32-91ea-f76f0457c4c9@Spark> References: <90f6fd1a-c0e8-4f32-91ea-f76f0457c4c9@Spark> Message-ID: <30634cf5-60b1-4d1b-9a2f-5006ef293d4b@Spark> Apologies for cross-posting. ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) --------------- Key Dates --------------- Short Paper Abstract Submission: ?? ?June 2, 2021 (anywhere in the world) Short Paper Submission Deadline: ?? ?June 9, 2021 (anywhere in the world) Acceptance Notification: ? ?August 9, 2021 (anywhere in the world) Final Version Submission: ? ?Aug 23, 2021 (anywhere in the world) ------------------ Topics of Interest ------------------ We encourage submissions of high quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information ??credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation,??best practices) * Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) ----------------- Paper Submissions ----------------- Authors are invited to submit original short papers that have not been previously published, and are not being considered for publication in any other forum. Short papers should describe ongoing work, recent insights, or summaries of significant research, that address research problems targeting top-tier research venues. Short papers should be particularly well suited to poster presentation. Manuscripts should be submitted electronically, as PDF formatted using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template, with the author names removed to conform with double-blind submission requirements. Papers should be 4 pages in length plus unlimited references. Papers should be submitted through the CIKM 2021 online submission system, choosing the ?Short Research Paper Track? option. ----------------- Dual Submission Policy ----------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule: * Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. * Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity. --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere the the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- PC Chair Contact Information ---------------------------- For more information, contact the appropriate PC chairs: Short Paper Track Email: cikm2021-short at easychair.org Krisztian Baalog, University of Stavanger, Norway Louiqa Raschid, University of Maryland, USA Lina Yao, University of New South Wales, Australia Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From helena at incf.org Mon Apr 12 14:51:18 2021 From: helena at incf.org (Helena Ledmyr) Date: Mon, 12 Apr 2021 20:51:18 +0200 Subject: Connectionists: Don't miss the upcoming INCF Assembly on FAIR neuroscience! Message-ID: Join us virtually for the 2021 INCF Assembly on April 19-27, with an exciting program covering different aspects of FAIR neuroscience, registration is now open! Members of INCF enjoy heavily discounted registration fees, which are already lowered due to the meeting being virtual this year. You can sign up for membership and see the other benefits here - one year costs 20 USD for students and postdocs, and 50 USD for regular members. *Please share this with your networks!* The INCF Assembly 2021 aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics. The 2021 INCF Assembly will address topics around FAIR neuroscience such as: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology and computational neuroscience - Data science - Showcase of tools and infrastructures - Open innovation and intellectual property - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience The INCF Assembly is the only international meeting that focuses on providing researchers with hands-on training experiences and enabling interaction with software developers and infrastructure providers. We hope to see you online next week! Best wishes, Helena and the INCF Team ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr at incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From Jean.MARTINET at univ-cotedazur.fr Mon Apr 12 19:39:45 2021 From: Jean.MARTINET at univ-cotedazur.fr (Jean Martinet) Date: Tue, 13 Apr 2021 01:39:45 +0200 Subject: Connectionists: =?utf-8?q?=5BJobs=5D_PhD_position=28s=29_in_Neuro?= =?utf-8?q?morphic_Vision_at_Universit=C3=A9_C=C3=B4te_d=27Azur_in_France?= Message-ID: <36CC5CBB-9F42-49FE-9249-53EB49D1FCCE@univ-cotedazur.fr> Dear colleagues, We are seeking two PhD candidates in Neuromorphic Vision starting from October 2021 at i3S lab, Sophia Antipolis, Universit? C?te d?Azur in France. - Neuromorphic Stereo Vision with Event Cameras (https://www.i3s.unice.fr/jmartinet/sites/default/files/u47/neuromorphicstereovision.pdf ) - Neuromorphic Visual Odometry for Intelligent Vehicles with a Bio-inspired Vision Sensor (https://www.i3s.unice.fr/jmartinet/sites/default/files/u47/phdsubject.pdf ) Candidates must hold a Master degree in Computer Science, Computer Engineering, Applied Mathematics or a related field. Experience in image processing, computer vision, or machine learning is a plus. In addition, candidates should have the following skills: good proficiency in spoken and written English, scientific writing, and programming in Python/C++. Application deadline on May 1st, 2021. Please send an email with Subject [PhDApplication2021], include CV, cover letter, all available Master grades and ranking, Master thesis if available, any recommendation letter and supporting document). Video interviews will take place from May 3rd. Universite? Co?te d'Azur is a major research-intensive university in the south east of France, that is both rooted in its territory and internationally oriented. Universite? Co?te d'Azur directly employs around 3,000 staff and welcomes over 30,000 students each year. The i3S laboratory is the largest information and communication science laboratory in the French Riviera. It is composed of nearly 300 people with approximately 100 professors or associate professors, 20 CNRS researchers and 13 INRIA researchers, along with 20 technical and administrative staff. More information: https://www.i3s.unice.fr/jmartinet/en/node/14 and https://www.chistera.eu/projects/aprovis3d With kind regards, Jean- -- Prof. Jean Martinet Universit? C?te d'Azur / I3S / CNRS | Polytech Nice Sophia Campus SophiaTech, Sophia-Antipolis EIT Digital Master School , Data Science APROVIS3D CHIST-ERA ERA-NET jean.martinet at univ-cotedazur.fr i3s.unice.fr/jmartinet +33.6.59.69.11.91 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: UCA.png Type: image/png Size: 19039 bytes Desc: not available URL: From p.jaeger at dkfz-heidelberg.de Mon Apr 12 10:47:07 2021 From: p.jaeger at dkfz-heidelberg.de (=?iso-8859-1?Q?J=E4ger=2C_Paul?=) Date: Mon, 12 Apr 2021 14:47:07 +0000 Subject: Connectionists: Open Machine Learning Ph.D. and Postdoc Positions at DKFZ in Heidelberg, Germany! References: <56B8A22B-DDA5-4A3C-BD5A-30E3C7EF32BD@dkfz.de> Message-ID: <1E4D0712-B742-46B7-B931-C57582498189@dkfz.de> Dear all, We are looking for Ph.D. students (http://bit.ly/3tokQvH) and Postdocs (http://bit.ly/2Qle2zW) to join the Interactive Machine Learning group at DKFZ focusing on probabilistic and interactive systems for image analysis. All positions are fully funded. We are looking forward to your application! Best, Paul -------------- next part -------------- An HTML attachment was scrubbed... URL: From aldo.lipani at acm.org Tue Apr 13 05:34:40 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Tue, 13 Apr 2021 11:34:40 +0200 Subject: Connectionists: CIKM 2021 - Call for Applied Papers In-Reply-To: References: Message-ID: <08a98a1d-a191-4f28-87d8-c8cf47032555@Spark> ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner. The Applied Research Track aims at attracting submissions from both industry and academia that either solve or advance the understanding of issues related to deploying AI, IR and big data technologies as part of actual applications. The Applied Research Track is distinct from the Research Track in that submissions focus on applied work describing e.g. the implementation of a system, the acquisition of data, or the application of a methodology, that solves a significant real-world problem and demonstrates benefits as well as impact. Submissions must clearly describe how their work has been deployed or released, and for how long. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) --------------- Key Dates --------------- Applied Paper Abstract Submission: ?? ?May 19, 2021 (anywhere in the world) Applied Paper Submission Deadline: ?? ?May 26, 2021 (anywhere in the world) Acceptance Notification: ? ?August 9, 2021 (anywhere in the world) Final Version Submission: ? ?Aug 23, 2021 (anywhere in the world) ------------------ Topics of Interest ------------------ We encourage submissions??in the same area of relevance as the CIKM2021 Research Track (http://www.cikm2021.org/cfp/full-papers), but that describe applied and in-use work, with evidence of a system launch, data release, or other application. The areas of interest include: * Business Intelligence (e.g., Advertising and E-commerce, Finance, Marketing and Crowds, Recommender systems, Gig Economy) * Social Networks (e.g., Crowdsourcing, Network sciences, Social media and publishing, Social sciences, User modeling, Web mining) * Social Good and Fairness (e.g. Fair and Inclusive Systems, Humanitarian Crisis Support, Emergency Detection, Citizen Participation) * Knowledge Diffusion (e.g. Monitoring Disinformation, Data Journalism, Fact-checking, Bibliometrics) * Healthcare and Bioinformatics (e.g., Clinical Decision Support, Clinical Research, Healthcare and Caregiving, Patient Empowerment, Genomic applications) * Computing Infrastructures (e.g., Big Data infrastructures Cloud?Map-Reduce, MPI, Data protection, Design of experiments, Interpretable models, Large-scale optimization, Scalable algorithms) * Data Quality and its impact on systems (for AI, DBMS, Web, etc.) * Emerging Applications (e.g., AI in Education, Internet of Things, Cyber Security, Intelligent Transportation) ----------------- Paper Submissions ----------------- Authors are invited to submit original applied research results that have not been previously published, are not accepted to be published, and are not currently being considered for publication in any other conference or journal. Submissions do not need to be double-blind, i.e., authors? names and affiliations can be included in the submission if desired, but they are not required. Manuscripts should be submitted electronically, as PDF files of max 9 pages plus unlimited references, formatted using the ACM camera-ready templates, using the double column template ?sig-conf?. Papers should be submitted through the CIKM 2021 online submission system using the ?Applied Research Track?. To facilitate review, each paper should provide the topics that it belongs to. ----------------- Dual Submission Policy ----------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule: * Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. * Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity. --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere the the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- PC Chair Contact Information ---------------------------- For more information, contact the appropriate PC chairs: Applied Paper Track Email: cikm2021-applied at easychair.org Miriam Redi, Wikimedia Foundation, USA Chris Welty, Google Research, USA Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Apr 13 04:34:06 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 13 Apr 2021 10:34:06 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2021 Madrid Spain November 30 - December 02, 2021 Message-ID: *10th** International Conference on Complex Networks & Their Applications* *Madrid, Spain *November 30 - December 02, 2021 COMPLEX NETWORKS 2021 You are cordially invited to submit your contribution until September 02, 2020. *SPEAKERS * ? Marc Barth?l?my CEA France ? Ginestra Bianconi Queen Mary University of London UK ? Jo?o Gama University of Porto Portugal ? Dirk Helbing ETH Z?rich Switzerland ? Yizhou Sun UCLA USA ? Alessandro Vespignani Northeastern University USA *TUTORIALS (November 29, 2021)* ? Elisabeth Lex Graz University of Technology Austria ? Giovanni Petri ISI Foundation Italy *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *ADVISORY BOARD* Jon Crowcroft *University of Cambridge, UK* Raissa D'Souza *UC Davis, USA* Eugene Stanley *Boston University, USA* Ben Y. Zhao *University of Chicago, USA* *PROGRAM CHAIRS* Chantal Cherifi *University of Lyon, France* Luis M. Rocha *Indiana University, USA* Marta Sales-Pardo *Universitat Rovira i Virgili, Spain* *LIGHTNING CHAIRS* Jes?s Gomez Garde?es *University of Zaragoza, Spain* Regino Criado* Universidad Rey Juan Carlos de Madrid, Spain* Huijuan Wang *TU Delft, Netherlands* *POSTER CHAIRS* Manuel Marques Pita *Universidade Lus?fona, Portugal* Taha Yasseri *University of Oxford, UK* Jos? Javier Ramasco *IFISC, Spain* *TUTORIAL CHAIRS* Luca Maria Aiello *Nokia-Bell Labs, UK* Leto Peel *Universit? Catholique de Louvain, Belgium* *SATELLITE CHAIR* Javier Galeano *Universidad Politecnica de Madrid, Spain* *PUBLICITY CHAIRS* Benjamin Renoust *Osaka University, Japan* Xiangjie Kong* Dalian* *University of Technology, China* *SPONSOR CHAIR* Roberto Interdonato *CIRAD, France* *STUDENT GRANT CHAIR* Sabrina Gaito *Universit? degli Studi di Milano, Italy* *PUBLICATION CHAIR* Matteo Zignani *Universit? degli Studi di Milano, Italy* *WEB CHAIR* Stephany Rajeh *University of Burgundy, France* *LOCAL COMMITTEE CHAIR* Juan Carlos Losada *Universidad Politecnica de Madrid, Spain* Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Tue Apr 13 05:40:44 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Tue, 13 Apr 2021 11:40:44 +0200 Subject: Connectionists: [Call-for-Papers] (DEADLINE EXTENSION) ACSOS 2021 - 2nd IEEE International Conference on Autonomic Computing & Self-Organizing Systems In-Reply-To: References: Message-ID: *************************************************** ********** ACSOS 2021 - Call For Papers *********** *************************************************** *? 2nd IEEE International Conference on?????????? * *? Autonomic Computing & Self-Organizing Systems? * *???????????????????????????????????????????????? * *? 27 September -- 1 October 2021???????????????? * *? Washington, DC, USA??????????????????????????? * *???????????????????????????????????????????????? * *? http://2021.acsos.org/???????????????????????? * *? https://twitter.com/ACSOSconf????????????????? * *???????????????????????????????????????????????? * *************************************************** *************************************************** ***************************************************** ***************** Important Dates ******************* ***************************************************** ? - Main-Track Abstract submission deadline: *April 30th 2021* (EXTENDED) ? - Main-Track Paper submission deadline: *May 7th, 2021* (EXTENDED) ? - Notification to authors: *June 25th, 2021* ? - Camera ready: *August 13th, 2021* ? - ACSOS Conference: *September 27th -- October 1st, 2021* All times in Anywhere on Earth (AoE) timezone. ***************************************************** ***************** Summary of Calls ****************** ***************************************************** - Accelerating Convergence Between Academia and Industry (ACAI) ? Call for Abstracts / Profile submission deadline: June 25th, 2021 - Doctoral Symposium ? Submission deadline: June 26th, 2021 - Call for Tutorials ? Tutorial proposal deadline: July 2nd, 2021 - Call for Posters and Demos ? Poster / Demo submission deadline: July 9th, 2021 **************************************************** **************** Goals and Mission ***************** **************************************************** The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). Emerging large-scale systems (including data centers, cloud computing, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments) are becoming increasingly complex, heterogeneous, and difficult to manage. The challenges of designing, controlling, managing, monitoring, and evolving such complex systems in a principled way led the scientific community to look for inspiration in diverse fields, such as biology, biochemistry, physics, complex systems, control theory, artificial intelligence, and sociology. To address these challenges novel modeling and engineering techniques are needed that help to understand how local behavior and global behavior relate to each other. Such models and practices are a key condition for understanding, controlling, and designing the emergent behavior in autonomic and self-adaptive systems. The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive, and self-organizing. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, vision papers, posters, demos, and a doctoral symposium. ***************************************************** ********************** Scope************************* ***************************************************** We invite novel contributions related to the fundamental understanding of autonomic computing, self-adaption and self-organization along with principles and practices of their engineering and application. The topics of interest include, but are not limited to: ?* /Autonomic and Self-* system properties/: robustness; resilience; efficient resource management; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness; ?* /Autonomic and Self-* systems theory/: bio-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; languages and formal methods; queuing and control theory; requirement and goal expression techniques; uncertainty as a first class entity; ?* /Autonomic and Self-* systems engineering/: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middlewares; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems; ?* /Autonomic and Self-* systems practice/: case studies from industry, experimental setups and data sets, experience reports with established autonomic and self-* software; ?* /Data-driven management/: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems or establishing self-awareness; ?* /Mechanisms and principles for self-organisation and self-adaptation/: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized system; ?* /Socio-technical self-* systems/: human and social factors; visualization; crowdsourcing and collective awareness; ?* /Autonomic and self-* concepts applied to hardware systems/: self-* materials; self-construction; reconfigurable hardware, self-* properties for quantum computing; ?* /Convergence of artificial intelligence, cloud, and Internet of Things/: moving artificial intelligence to the edge, collective decision processes, in-network learning, distributed reinforcement learning; ?* /Self-adaptive cybersecurity/: intrusion detection, malware attribution, zero-trust networks and blockchain-based approaches, privacy in self-* systems; ?* /Cross disciplinary research/: approaches that draw inspiration from complex systems, artificial intelligence, physics, chemistry, psychology, sociology, biology, and ethology. We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including (but not limited to): ?* smart environments: -grids, -cities, -homes, and -manufacturing; ?* Internet of things and cyber-physical systems; ?* robotics, autonomous vehicles, and traffic management; ?* cloud (including serverless), fog, edge computing and data centers; ?* hypervisors, containerization services, orchestration, operating systems, and middleware; ?* biological and bio-inspired systems. Note that separate calls for Poster, Demo, and In-Practice Report Submissions will also be issued, as well as a call for participation in the Doctoral Symposium. **************************************************** ************* Submission Instructions ************** **************************************************** *Research papers* (/up to 10 pages including images, tables, and references/) should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. *Experience Reports* (/up to 10 pages including images, tables, and references/) cover innovative implementations, novel applications, interesting performance results and experience in applying recent research advance to practical situations on any topics of interest. *Vision Papers* (/up to 6 pages including images, tables, and references/) introduce ground-shaking, provocative, and even controversial ideas; discuss long term perspectives and challenges; focus on overlooked or underrepresented areas, and foster debate. All submissions must indicate a primary and (optionally) a secondary topic area from the following list: ?* /RM/: Resource Manargement in Data Centers and Cloud Computing ?* /CPS/: Cyber-Physical Systems (CPS) and Internet of Things (IoT) ?* /SOSA/: Theory and Practice of Self-Organization, Self-Adaptation, and Organic Computing ?* /ENG/: Software and Systems Engineering for Autonomic and Self-Organizing Systems ?* /SYS/: Systems theory for Autonomic and Self-Organizing Systems ?* /DATA/: Data-Driven Approaches to Autonomic and Self-Organizing Systems Analysis and Management ?* /NEW/: Emerging Computing Paradigms ?* /SOC/: Socio-technical Autonomic and Self-Organizing Systems ?* /LANG/: Languages and Formal Methods for Autonomic and Self-Organizing Systems ?* /COG/: Self-Aware, Reflective, and Cognitive Computing ?* /APP/: Application Areas for Autonomic and Self-Organizing Systems such as Autonomous Vehicles, Smart Cities, Swarms, etc. ?* /REL/: Assurances, security, resilience, and reliability of Autonomic and Self-Organizing Systems ?* /CROSS/: Cross-disciplinary research on e.g., complex systems, control theory, artificial intelligence, chemistry, psychology, sociology, and biology All submissions are required to be formatted according to the standard IEEE Computer Society Press proceedings style guide: . Papers are submitted electronically in PDF format through the ACSOS 2021 conference management system: . Research papers and experience reports will be included in the conference proceedings that will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. Vision papers will be part of a separate proceedings volume (the ACSOS Companion). As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We would like to also highlight IEEE?s policies regarding plagiarism and self-plagiarism:. Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions. **************************************************** ***************** Review Criteria ****************** **************************************************** */Research papers/* should highlight both theoretical and empirical contributions, substantiated by formal analysis, simulation, experimental evaluations, or comparative studies. Appropriate references must be made to related work. Due to the cross-disciplinary nature of the ACSOS conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field. Moreover, research papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain, and an evaluation of performance, usability, and/or comparison to alternative approaches. */Experience reports/* should provide insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the ACSOS community. */Vision Papers/* should introduce innovative, risky, visionary, and provocative ideas, spotlighting overlooked areas, raising controversial points, and exploring cross-disciplinary contaminations. /*All submissions*/ will be rigorously peer-reviewed and evaluated based on the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality. We intend to continue the tradition of giving the best papers of the conference an opportunity to publish an extended version in a */special issue/* of ACM Transactions on Autonomous and Adaptive Systems (TAAS). The */Karsten Schwan Best Paper Award/* will be awarded to a selected paper. **************************************************** ******* (NEW!!)**Artifact Evaluation program ******* **************************************************** For the first time, ACSOS introduces an */artifact evaluation program/*. To improve reproducibility of results, /authors of accepted papers/ with a computational component are invited to submit their code and/or their data to an */optional/* artifact evaluation process. A dedicated committee will be in charge of reproducing the results presented in the accepted papers. */Participation in the program is OPTIONAL and does not impact the paper acceptance in any way/*. The best artifacts will be awarded the IEEE ACSOS Best Software Artifact Award. Artifacts that are successfully reproduced will be highlighted in the conference program, and they will feature in the corresponding camera ready paper a badge of reproducibility. For more information, please refer to the ACSOS 2021 call for artifacts. ****************************************************** ****************** Demos & Posters ******************* ****************************************************** Posters provide a forum for authors to present their work in an informal and interactive setting. They allow authors and interested participants to engage in discussions about their work. Demonstration should present an existing tool or research prototype. Authors are expected to perform a live demonstration on their own hardware during the poster and demonstration session. Contributions will be collected in */ACSOS Companion Proceedings/*, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 call for posters and demos. ****************************************************** *************** Workshops & Tutorials **************** ****************************************************** ACSOS workshops will provide a meeting place for presenting novel ideas in a less formal and possibly more focused way than the conferences themselves. Their aim is to stimulate and facilitate active exchange, interaction, and comparison of approaches, methods, and ideas. Contributions will be collected in */ACSOS Companion Proceedings/*, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 call for workshops and tutorials ****************************************************** ***************** Doctoral? Symposium **************** ****************************************************** The Doctoral Symposium provides an international forum for PhD students working in ACSOS-related research fields to present their work to a diverse audience of leading experts in the field, to gain both insightful feedback and discussion points around their research as well as the invaluable experience of presenting new research to an international audience. Contributions will be collected in /*ACSOS Companion Proceedings*/, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 Doctoral Symposium call for participation. ****************************************************** *** ACSOS in Practice: Accelerating Convergence??? *** ***???? between Academia & Industry (ACAI)???????? *** ****************************************************** ACAI at ACSOS features short vision talks and opportunities for researchers to brainstorm potential collaborations. We ask ALL ACAI attendees to submit information about their interests, qualifications and visions for ACAI. Contributions will be collected in /*ACSOS Companion Proceedings*/, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACAI at ACSOS2021 call for papers. From pattichi at ucy.ac.cy Tue Apr 13 06:58:29 2021 From: pattichi at ucy.ac.cy (Constantinos Pattichis) Date: Tue, 13 Apr 2021 13:58:29 +0300 Subject: Connectionists: [CAIP2021] CAIP 2021 - VIRTUAL CONFERENCE - EXTENDED PAPER SUBMISSION DEADLINE - 05 MAY 2021 In-Reply-To: References: <016801d6f32e$5441ec60$fcc5c520$@easyconferences.eu> <01bd01d6f3b1$2e833500$8b899f00$@easyconferences.eu> <00e801d6f47c$437dfaa0$ca79efe0$@easyconferences.eu> <00f001d6f47c$9c7e6720$d57b3560$@easyconferences.eu> <042a01d70075$8e432e20$aac98a60$@easyconferences.eu> <019e01d724a3$e3d4eb10$ab7ec130$@easyconferences.eu> Message-ID: *Due to the COVID-19 global pandemic, CAIP 2021 will be held as a virtual conference. The Organizing Committee would like to thank you for your commitment and support and reassure you that they are dedicated to offering the best possible online experience to attendees.* Call for Papers*http://cyprusconferences.org/caip2021 * CAIP 2021 is the 19th in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. Previous conferences were held in Salerno, Ystad, Valletta, York, Seville, M?nster, Vienna, Paris, etc. The scientific program of the conference will consist of plenary lectures and contributed papers presented in a single track. Furthermore, CAIP 2021 will feature contests and tutorials preceding the main conference event, as well as workshops following the main conference event. CAIP 2021 will also host a student?s paper competition. *Fields of Interest* The conference invites novel contributions to the automatic analysis of images and patterns, encompassing both new challenging application areas and substantial new theoretical developments in the field. - 3D Vision - Biomedical image and pattern analysis - Biometrics - Brain ? inspired methods - Computer Vision Accelerators - Deep Learning - Document analysis - Egocentric Vision - Face and gestures - Feature Extraction - Graph-based methods - High ? dimensional topology methods - Human pose estimation - Image restoration - Image/video indexing & retrieval - Keypoint detection - Machine learning for image and pattern analysis - Mobile multimedia - Model-based vision - Motion and tracking - Object recognition - Segmentation - Shape representation and analysis - Vision for robotics / drones/ UAVs *Special Research Award* CAIP 2021 will give a special research award for the best paper of the conference associated to COVID-19 research, in order to honor those who have lost their lives and the heroes and the volunteers associated to the COVID-19 crisis. Committees *General Chairs* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Andreas Lanitis* *CYENS & Cyprus University of Technology, Cyprus* *Nicolai Petkov* *University of Groningen, Netherlands* *Program Chairs* *Nicolas Tsapatsoulis* *Cyprus University of Technology, Cyprus* *Andreas Panayides* *University of Cyprus, Cyprus* *Theo Theocharides* *KIOS & University of Cyprus, Cyprus* *Mario Vento* *University of Salerno, Italy * *LOC* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Constandinos Mavromoustakis* *IEEE Cyprus Section & University of Nicosia Research Foundation, Cyprus* *Alexis Polycarpou* *IET Cyprus* *Toumazis Toumazi* *Cyprus Computer Society* Important Dates *Special Sessions proposal submission* 05 May 2021 *Special Sessions acceptance notification* 10 May 2021 *Paper Submission* 05 May 2021 *Author notification* 15 June 2021 *Camera-ready paper due* 01 July 2021 *Early bird registration* 31 July 2021 Contact *For Academic Enquiries please contact:* *Prof. Constantinos S. Pattichis *pattichi at ucy.ac.cy *For Arrangements and Registration Information:* *Easy Conferences *info at easyconferences.eu *Organized and Sponsored by* [image: cid:image001.png at 01D6F3C1.F099B050] *Endorsed by* [image: cid:image004.jpg at 01D6D496.3800FCA0] *Co-Organizers & Co-Sponsors* [image: cid:image010.jpg at 01D6D496.3E127BF0] *Technical Co-Sponsors* [image: cid:image011.jpg at 01D6D496.3E127BF0] cyprusconferences.org/caip2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.jpg Type: image/jpeg Size: 5249 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image010.jpg Type: image/jpeg Size: 2687 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image005.jpg Type: image/jpeg Size: 33696 bytes Desc: not available URL: -------------- next part -------------- _______________________________________________ CAIP2021 mailing list CAIP2021 at cs.ucy.ac.cy https://listserv.cs.ucy.ac.cy/mailman/listinfo/caip2021 From hans.ekkehard.plesser at nmbu.no Tue Apr 13 08:45:08 2021 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 13 Apr 2021 12:45:08 +0000 Subject: Connectionists: =?utf-8?q?NEST_Conference_2021_goes_virtual_?= =?utf-8?q?=E2=80=94_registration_=26_call_for_contributions_open?= Message-ID: <82176DB9-03D2-490E-ACAE-566F02BAA991@nmbu.no> Dear all, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2021. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 28/29 June 2021 followed by a virtual NEST User Hackathon until Friday 2 July, which offers the opportunity to deep-dive your own code with expert developers at your fingertips. Registration and submission of contributions are now open! We are inviting contributions to the conference, including plenary talks, "posters", breakout sessions and workshops on specific topics. Please register and submit your contribution(s) via the conference website https://nest-simulator.org/conference. Important dates 16 May 2021 ? Deadline for submission of contributions and for NEST Initiative Membership applications 08 June 2021 ? Notification of acceptance 21 June 2021 ? Registration deadline 28 June 2021 ? NEST Conference 2021 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser, Dennis Terhorst & Anne Elfgen -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From gexarcha3 at gmail.com Tue Apr 13 11:54:32 2021 From: gexarcha3 at gmail.com (Georgios Exarchakis) Date: Tue, 13 Apr 2021 17:54:32 +0200 Subject: Connectionists: PhD position on Explainable ML in Health Science Message-ID: ** *PhD position on Explainable ML in Health Science* * Keywords: Scattering Transforms, Convolutional Neural Networks, Health Sciences Profile: M.Sc. Computer Science/Mathematics/Physics or a related field Institute: IHU Strasbourg/University of Strasbourg Location: Strasbourg, France Supervisor: Dr Georgios Exarchakis We offer a PhD position attached to the CAMMA team at IHU Strasbourg/University of Strasbourg for a motivated student interested in contributing to the development of Machine Learning algorithms for use in Health Sciences. The Institute provides a multi-disciplinary environment where clinicians collaborate with engineers to provide real-world surgical solutions.? The PhD position focuses on explainable approaches to AI with applications to Health Science. We consider approaches with foundations in signal processing and machine learning, such as the Wavelet Scattering Transforms[1,2] and Deep Convolutional Neural Networks. However, the candidate is expected to introduce novel model architectures for applications on disease diagnosis from CT and MRI scans. The goal of the project is to produce accurate predictive algorithms with performance guarantees that can be established analytically. An ideal applicant will have a strong background in mathematics or physics preferably with a specialisation in machine learning, and signal processing. Strong analytical skills will be required for the successful participation in the project. Familiarity with Machine Learning libraries and The project also requires the ability to develop Convolutional Neural Networks in the Python programming language with at least one of the popular ML libraries, e.g. Pytorch, TensorFlow. Proficiency in spoken and written English is mandatory. Contact Dr Georgios Exarchakis at georgios.exarchakis at ihu-strasbourg.eufor applications and further inquiries. An application should include a one page motivation for letter, a CV, copies of earlier degrees and transcripts. To facilitate processing of applications please use the title ?PhD on Explainable AI?. [1] Eickenberg M., Exarchakis G., Hirn M., Mallat S., Thiry L. (2018). Solid harmonic wavelet scattering for predictions of molecule properties.The Journal of chemical physics, 2018. [2] Andreux M., Angles T., Exarchakis G., Leonarduzzi R., Rochette G., Thiry L., Zarka J., Mallat S., And?n J., Belilovsky E., Bruna J., Lostanlen V., Chaudhary M., Hirn M. J., Oyallon E., Zhang S., Cella C., Eickenberg M. (2020). Kymatio: Scattering Transforms in Python.Journal of Machine Learning Research, 2020. * -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PhD at CAMMA.pdf Type: application/pdf Size: 121344 bytes Desc: not available URL: From cgf at isep.ipp.pt Tue Apr 13 14:22:46 2021 From: cgf at isep.ipp.pt (Carlos) Date: Tue, 13 Apr 2021 19:22:46 +0100 Subject: Connectionists: IEEE/ACM/ASA DSAA'2021 Competition: Telecom System Reconciliation (Kaggle Challenge) Message-ID: <53443efb-df3e-4249-c69e-3774cf5c0000@isep.ipp.pt> Competition: Telecom System Reconciliation (on high dimensional datasets) Goal: Predict the correct configuration of the Billing system based on CRM configuration Have you ever been charged for something you did not subscribe to? How hard could it be to get my invoice right? One of the most important processes for telecommunications operators is service provisioning to a customer. This is the process responsible to provide you with the services you contracted and charging you for them. In this competition, we challenge you to predict the right bill for a customer given the services he contracted. The goal is to build a model that receives the configuration of the CRM system and predicts the correct configuration of the Billing system. Kaggle is hosting this competition in the Web page: https://www.kaggle.com/t/10bf70a6f68f4e57bea47a3b32b6e746 Accept the challenge, have fun and win!!! 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 jiangdm at nwpu.edu.cn Tue Apr 13 22:11:38 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Wed, 14 Apr 2021 10:11:38 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Call for Workshop Participation Message-ID: <49b8d140.24c24.178ce25fb3c.Coremail.jiangdm@nwpu.edu.cn> *************************************** ACM ICMI 2021: Call for Workshop Participation http://icmi.acm.org/2021/index.php?id=workshops 18-22 Oct 2021, Montreal, Canada *************************************** ACM ICMI has developed a tradition of hosting workshops in conjunction with the main conference to foster discourse on new research, technologies, social science models and applications. We are pleased to announce the workshops to be held during the 23rd ACM International Conference on Multimodal Interaction (ACM ICMI 2021): - The Second International Workshop on Automated Assessment of Pain (AAP) - 2nd Workshop on Social Affective Multimodal Interaction for Health (SAMIH) - Insights on Group & Team Dynamics - CATS2021: International Workshop on Corpora and Tools for Social Skills Annotation - Workshop on modelling socio-emotional and cognitive processes from multimodal data in the wild - 2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour - Workshop on Affective Social Multimedia Computing - Workshop on Multimodal Affect and Aesthetic Experience - Empowering Interactive Robots by Learning Through Multimodal Feedback Channels - GENEA Workshop 2021: Generation and Evaluation of Non-verbal Behaviour for Embodied Agents - Socially-Informed AI for Healthcare ? Understanding and Generating Multimodal Nonverbal Cues We are now pleased to invite submission to these workshops. Details of the workshops and links to the workshop websites can be found at http://icmi.acm.org/2021/index.php?id=workshops ------------------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From zapotocky at biomed.cas.cz Tue Apr 13 18:12:33 2021 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Wed, 14 Apr 2021 00:12:33 +0200 Subject: Connectionists: 30th Annual Computational Neuroscience Meeting (CNS*2021) - CALL FOR ABSTRACTS Message-ID: <320c2004-3914-9fa2-6ee8-4f28f8de3609@biomed.cas.cz> **Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA** ** *Call for Abstracts* *30th Annual Computational Neuroscience Meeting (CNS*2021) - ONLINE** **July 3-7, 2021 *The main meeting begins the evening of Saturday July 3rd and runs through Tuesday July 7. It will be preceded by a day of tutorials (Saturday July 3rd) and followed by workshops (Tuesday July 7 mixed with the main meeting and Wednesday July 8 workshops only). *Keynote Speakers:* *Wolf Singer - **Max Plank Institute for Brain Research **Danielle Bassett - **Dept. of Bioengineering, University of Pennsylvania **Sonia Gruen - **Statistical Neuroscience, Forschungszentrum Juelich **Bill Bialek - **Dept. of Physics, Princeton University* Registration and abstract submission are open. *Abstract submission deadline: May 15th, 2021.* *Accept/reject **notification by June 1**^st ** **Talk/Poster **notification by June 15**^th * Note that one of the authors must register as sponsoring author for the main meeting *before abstract submission*. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2021-online-registration Registration fees: https://ocns.memberclicks.net/cns-2021-registration-fees Abstract Submission for Main Meeting: https://cns.confmaster.net/ For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2021-online -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: https://www.cnsorg.org -------------------------------------------------------------------------------------------- ------------------------------------------------------------------------ Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences. -------------- next part -------------- An HTML attachment was scrubbed... URL: From aldo.lipani at acm.org Wed Apr 14 04:00:57 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Wed, 14 Apr 2021 10:00:57 +0200 Subject: Connectionists: CIKM 2021 - Call for Resource Papers In-Reply-To: <28c9d010-74a1-40b9-bea3-2a356061300e@Spark> References: <28c9d010-74a1-40b9-bea3-2a356061300e@Spark> Message-ID: <757e3163-4e1a-4193-bf5e-ef25f8b75e17@Spark> ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner. CIKM recognises the importance of publicly available scientific resources, such as datasets, evaluation benchmarks, tools or libraries as a necessary and important prerequisite for fostering research in core CIKM areas. The Resources Track seeks submissions from both academia and industry that describe resources available to the community.??Resources include, but are not restricted to, information retrieval test collections, labelled datasets for machine learning, and software tools and services.??Furthermore, we also seek papers describing original research on building datasets and resources for broad use as well as the lessons learnt in doing this. An ideal resource track paper will fit into one or more of the following categories: * Describing a new and innovative dataset or protocol * To support research on novel application domains; * To support novel evaluation tasks; * Created using novel methods and/or algorithms; * Labeled using novel and well-described annotation and/or crowdsourcing approaches; * Reusable research prototypes and services; * Open software frameworks, tools and libraries which support tasks and evaluation in data science, data engineering or information & knowledge management. Historically, CIKM has published research in all of these areas.??The goal of the Resource Track is to highlight artifacts of CIKM research and the process of making those artifacts available to the community.??It is expected that at the time of submission the described resource will be available under reasonably liberal terms and sufficiently well-documented such that reviewers may consult that documentation as they conduct their reviews.??(This of course means that reviews will be single-blind for this track.) AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) --------------- Key Dates --------------- Paper Submission Deadline: ?? ?June 16, 2021 (anywhere in the world) Acceptance Notification: ? ?August 9, 2021 (anywhere in the world) Final Version Submission: ? ?Aug 23, 2021 (anywhere in the world) ------------------ Topics of Interest ------------------ We encourage submissions of high-quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information ??credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation,??best practices) * Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) ----------------- Paper Submissions ----------------- Resource track papers should not exceed 9 pages plus unlimited references, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Papers should include a description of the resource, an illustration of the use case(s) for the resource, explain its utility, reusability and novelty, and focus on anticipating and answering questions that CIKM reviewers and readers are likely to ask, as laid out in the review criteria below. It is expected that papers describing datasets clearly explain how the data was collected, all stages of processing from the source to the resulting dataset, and assumptions and risks presented by the collection and/or labeling strategy. The resource paper review process is single-blind, which means that reviewers are aware of the names and affiliations of paper authors. Therefore, unlike other paper tracks in CIKM 2021, there is no need to hide author information in the submission. Papers should be submitted through the CIKM online submission system, using the ?Resource Track?. Accepted resources track papers will be published within the official CIKM2021 proceedings as part of the ACM digital library. ----------------- Ethics ----------------- Resources are expected to be available as described, where ?available? means that most researchers in our community could obtain and make use of the resource without strongly limiting the research they can perform with it. Datasets are expected to be collected in accordance with institutional review board standards and ACM standards of ethics. Reviewers are instructed to not use their reviews as an advocacy platform for these issues, but to do what they can to help authors bring their resources to fruition. ----------------- Review Criteria ----------------- Novelty * What is new about this resource? * Does the resource represent an incremental advance or something more dramatic? Availability * Is the resource available to the reviewer at the time of review? * Are there discrepancies between what is described and what is available? * Are the licensing/terms of use sufficiently open as to allow most academic and industry researchers access to the resource? * If the resource is data collected from people, do appropriate human subjects control board procedures appear to have been followed? Utility * Is the resource well documented? What level of expertise do you expect is required to make use of the resource? * Are there tutorials or examples? Do they resemble actual uses or are they toy examples? * If the resource is data, are appropriate tools provided for loading that data? * If the resource is data, are the provenance (source, preprocessing, cleaning, aggregation) stages clearly documented? Predicted Impact * What CIKM research activity is enabled by the availability of this resource? * Does the resource advance a well-established research area or a brand new one? * Do you expect that this resource will be useful for a long time, or will it need to be curated or updated? If the latter, is that planned? * How large is the (anticipated) research user community? Will that grow or shrink in the next few years? ----------------- Dual Submission Policy ----------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule: * Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. * Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity. It is also NOT permitted to double submit the content to both resource track and other track(s) of CIKM 2021 (e.g. a resource paper for building Dataset A and a full paper containing the construction process of Dataset A in the experiment section). --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere to the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- PC Chair Contact Information ---------------------------- For more information, contact the appropriate PC chairs: Resource Paper Track Email: cikm2021-resource at easychair.org Nicola Ferro, University of Padua, Italy Zhenhui Jessie Li, Pennsylvania State University, USA Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at cshl.edu Wed Apr 14 09:12:41 2021 From: navlakha at cshl.edu (Navlakha, Saket) Date: Wed, 14 Apr 2021 13:12:41 +0000 Subject: Connectionists: Biological Distributed Algorithms workshop 2021 -- final CFP! Message-ID: <08ECF7B7-84FF-4BB3-89DA-7A5624B445FA@cshl.edu> Subject: BDA 2021 ? call for presentations ======================================================= The 8th Workshop on Biological Distributed Algorithms (BDA 2021) July 29-30, 2021. Virtual event, in conjunction with PODC 2021 https://www.navlakhalab.net/BDA/2021/ ======================================================= We are excited to announce the 8th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers. Such research can lead to a better understanding of the behavior of the biological systems, while at the same time developing novel algorithms that can be used to solve basic distributed computing problems. We invite presentations related to any biological system. The workshop will be virtual, spanning the following two time slots: Thursday, Jul 29, 19:00-21:00 CEST Friday, Jul 30, 17:00-21:00 CEST =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and a 4-page extended abstract. Submission link: https://easychair.org/conferences/?conf=bda20210 Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. =============== IMPORTANT DATES =============== May 10, 2021 ? Extended abstract submission deadline May 31, 2021 ? Decision notifications July 29-30, 2021 ? Workshop ========================= INVITED SPEAKERS ========================= Dave Ackley - Univ. of New Mexico George Bassel - Univ. of Warwick Josh Bongard - Univ. of Vermont Anne Condon - Univ. of British Columbia Stephanie Forrest - Arizona State Univ. Mike Levin - Tufts Christos Papadimitriou - Columbia Dana Randall - Georgia Tech ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph - CMU Anna Dornhaus - Univ. of Arizona Yuval Emek - Technion (co-chair) Ile Fiete - MIT Amos Korman - CNRS and Univ. of Paris Diderot Nancy Lynch - MIT Frederik Mallmann-Trenn - King's College London Melanie Moses, Univ. of New Mexico Saket Navlakha - Cold Spring Harbor Laboratory (co-chair) Calvin Newport - Georgetown Merav Parter - Weizmann Institute Ted Pavlic - Arizona State Univ. Andrea Richa - Arizona State Univ. From AMAM2021info at uottawa.ca Wed Apr 14 11:56:37 2021 From: AMAM2021info at uottawa.ca (AMAM2021info) Date: Wed, 14 Apr 2021 15:56:37 +0000 Subject: Connectionists: [meetings] Early Bird Registration now open for AMAM2021 Virtual Message-ID: Early Bird registration for AMAM2021 Virtual is now open until May 1st 2021. Please go to https://amam2021.squarespace.com/registration for more information. An excellent turn out of abstracts have now been submitted and it looks to be an exciting event! -------------- next part -------------- An HTML attachment was scrubbed... URL: From aldo.lipani at acm.org Wed Apr 14 14:57:56 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Wed, 14 Apr 2021 20:57:56 +0200 Subject: Connectionists: CIKM 2021 - Call for Demo Papers References: <1654d117-3246-4184-9aa2-645929b6a0ef@Spark> Message-ID: <894776c9-bea0-40b2-a73e-620988bc83f7@Spark> Apologies for cross-posting. ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) --------------- Key Dates --------------- Resource & Demo Papers Deadline: ?? ?16 Jun 2021 (anywhere in the world) Papers Notifications: ?? ?9 Aug 2021 (anywhere in the world) Camera Ready Deadline: ?? ?23 Aug 2021 (anywhere in the world) ------------------ Topics of Interest ------------------ We seek demonstrations that showcase exciting new technologies and early prototypes within the scope of CIKM, as well as case studies from more mature systems with innovative features and functionalities. We welcome submissions on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. ----------------- Paper Submissions ----------------- Demo papers should describe the intended audience, point out the innovative aspects of the system being presented, and explain how those aspects contribute to the state of the art in knowledge, data, and information management. The submissions must also make clear what the audience will experience during the demo, what kind of functionality is supported, user scenarios, interface and interaction options provided, and how it is compared with existing systems (if any). Submissions that are case studies should also explain the case being demonstrated. Authors may also include a URL of a screencast video (up to 10 minutes), screenshots, and additional external material (e.g., shared code on GitHub). A demo paper must be no more than 4 pages long, plus unlimited references. Manuscripts should be submitted to CIKM?21?s Easychair site in PDF format, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. At least one author of each accepted paper must register to present the work as scheduled in the conference program. Additional details for running the online conference will be published on the website shown above. The review of the demo papers will be single-blind. All submissions will be reviewed by the Program Committee of the demos track, who will evaluate the novelty of the technical features and/or research being presented, the research and/or development challenges, its expected impact, and its timeliness and relevance for the CIKM audience of practitioners and researchers. Demo papers that describe case studies from mature systems will also be evaluated on the relevance of the system and innovative features and functionalities that are being included in the demonstration. Accepted demo papers will be part of the main conference proceedings. ----------------- Dual Submission Policy ----------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule: * Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. * Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity. --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- Demo Chair Contact Information ---------------------------- For more information, contact the appropriate chairs: Demo Track Email: cikm2021-demo at easychair.org Zhifeng Bao, RMIT University, Australia Julia Kiseleva, Microsoft Research, USA Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From eneftci at uci.edu Wed Apr 14 17:12:37 2021 From: eneftci at uci.edu (Emre Neftci) Date: Wed, 14 Apr 2021 14:12:37 -0700 Subject: Connectionists: 2021 Telluride Neuromorphic Engineering Workshop Registration open Message-ID: <8bae4d59-c849-41a7-8a24-61573786f323@www.fastmail.com> Dear all, The 2021 Telluride Neuromorphic Engineering Workshop registration is now open. Please register if you would like to attend the workshop. Visit the website (https://tellurideneuromorphic.org) or go straight to registration page: https://sites.google.com/view/tellurideneuromorphic2021/registration This year's topic areas can also be found at the website: https://sites.google.com/view/tellurideneuromorphic2021/topic-areas Emre Neftci on behalf of the 2021 Telluride Engineering Cognition Engineering Workshop Organizing Committee -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100 From m.reske at fz-juelich.de Wed Apr 14 14:54:28 2021 From: m.reske at fz-juelich.de (Martina Reske) Date: Wed, 14 Apr 2021 20:54:28 +0200 Subject: Connectionists: Open position in Juelich, Germany: Data Steward Neuroscience - Helmholtz Metadata Collaboration in the Hub Information Message-ID: Research data are the foundation of scientific discovery. Establishing the provenance of data, enabling its reusability and ensuring long-term availability increases the value, transparency and visibility of research, and opens possibilities for interdisciplinary research, e.g., through approaches from artificial intelligence. The Helmholtz Metadata Collaboration is an association-wide platform that develops and establishes novel concepts, services and workflows to annotate complex and heterogeneous research data with metadata throughout the various phases of acquisition and processing in support of the FAIR principles HMC will be anchored as a ?Metadata Hub? within the Helmholtz research domain Information in order to engage and actively involve the scientific community. The Hub is coordinated by the Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9) at Forschungszentrum J?lich. Within the Hub Information, the team for Data Science in Electro- and Optophysiology at the Institute of Neuroscience and Medicine (INM-10) headed by Dr. Michael Denker as part of the Statistical Neuroscience group of Prof. Sonja Gr?n (INM-6) will address the needs from the perspective of the neuroscience community in close coordination with its embedding in international initiatives (e.g., the ?Human Brain Project?). The advertised position will link the activities of the INM-6 to the ?Metadata Hub Information? when creating tools, establishing use cases, and working on standards for metadata and ontologies. We are looking to recruit a Data Steward Neuroscience - Helmholtz Metadata Collaboration in the Hub Information Your Job: * Support of the Helmholtz-wide establishment of the HMC Hub Information at Forschungszentrum J?lich and in the domain of neuroscience * Organization, integration and utilization of metadata schemas within the neuroscience domain and metadata expert communities within the HMC and the Hub Information * (Co-)Development of domain-specific vocabularies, ontologies and metadata schemas in collaboration with colleagues in the Hub Information and across the HMC, as well as with international neuroscience initiatives (e.g., EBRAINS) * Design and development of conceptual solutions and software to facilitate metadata creation workflows and stimulate metadata recording in neuroscience laboratories * Execution of collaborative projects for implementations in the context of FAIR data principles, supported by further HMC computer scientists * Co-development and operation of a domain-specific consulting format for anchoring metadata management in the research centers and dissemination of HMC developed tools * Representing the HMC and its technologies at scientific seminars, conferences, during educational courses, and to the public * Close cooperation with scientists from neuroscience (e.g., in the context of the Bernstein Network) and building interactions to scientific and engineering disciplines, especially in questions of metadata and in the design of projects supported by HMC * Building competence networks with other data stewards and supporting computer scientists * Preparation of position papers, best practices and publications Your Profile: * Completed study (Master, Diploma) in natural sciences or engineering * PhD degree and neuroscience background is beneficial * Proven knowledge and programming experience in at least one high-level language as well as knowledge in script languages (preferably Python), experience in web-based services for managing software (version control, issue tracking, CI,?) * Practical experience with data / research data management and data analysis in neuroscience * Experience in applying and designing metadata standards is an advantage * High ability to work with an interdisciplinary, international team * Communication and teamwork skills as well as the ability to cooperate * Fluent in English, spoken and written * Ability to work independently, systematically and on one?s own responsibility * Good communication skills with developers and scientists * Enthusiasm for a highly topical subject with great scientific and social relevance * Willingness to travel Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A position in a creative, dynamic and international team that conducts research at the frontiers of science, where your work will have noticeable impact on shaping the digitization of science * World class science environment at the interface between neuroscience and digital technologies, enabling scientific progress on the most complex known systems * A large research campus in J?lich with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work * An attractive workspace at the "Technologiezentrum Aachen" (TZA) close to Aachen downtown, for the cooperation with the HMC team there * Secure employment in a dynamic, international and interdisciplinary context * Comprehensive training courses and individual opportunities for personal and professional further development * Full-time position with the option of slightly reduced working hours and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 1 years, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TV?D). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade EG 13 TV?D-Bund. Forschungszentrum J?lich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. We look forward to receiving your application until 02.05.2021 via our online recruiting system. Reference number: 2021-136 -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolas.rougier at inria.fr Thu Apr 15 02:45:37 2021 From: nicolas.rougier at inria.fr (Nicolas P. Rougier (inria)) Date: Thu, 15 Apr 2021 08:45:37 +0200 Subject: Connectionists: PhD position / Bordeaux / Machine learning / Neuroscience Message-ID: Dear colleagues, Inria (https://www.inria.fr/en) and the Institute of Neurodegenerative Diseases (https://www.imn-bordeaux.org/en/) is opening a PhD position in machine learning and neuroscience. Title: Bags O' Neurons Who: Nicolas P. Rougier (Inria) & Thomas Boraud (CNRS) When: 09/2021 to 09/2024 Where: Institute of Neurodegenerative Diseases, Bordeaux, France What: The objective of this PhD is to define the original blueprint of the decision-making network in vertebrate using the newt as a model. More information and application at: https://aap.u-bordeaux.fr/siaap/pub/appel/view/166 Nicolas Rougier https://github.com/rougier https://www.labri.fr/perso/nrougier From davide.anguita at unige.it Thu Apr 15 04:37:33 2021 From: davide.anguita at unige.it (Davide Anguita) Date: Thu, 15 Apr 2021 08:37:33 +0000 Subject: Connectionists: Associate/Assistant Professor positions - University of Genova, Italy Message-ID: Call for Expression of interest for tenure track positions at the level of Tenure track Associate Professor (Ricercatore di tip B), Assistant Professor (Ricercatore di tipo A), Research Fellow (Assegnista di Ricerca) in Computer Science/Engineering - Universit? di Genova, Italy Deadline: May 1st, 2021. -------------------------------------------------------------------------------------------------------------- The Department of Computer Science, Bioengineering, Robotics and System Engineering (DIBRIS) of the University of Genova, Italy, invites expression of interest for positions in Computer Science/Engineering at the following levels * Tenure track Associate Professor (Ricercatore di tipo B) * Assistant Professor (Ricercatore di tipo A) * Research Fellow (Assegnista di ricerca) Candidates should have an excellent background in Computer Science/Engineering and (in the case of application to a professor position) be able to teach at both the bachelor/master/PhD level. Research topics of interest include all aspects of Computer Science/Engineering. Successful candidates must have a strong publication record and an ability to work both independently and collaboratively with other research groups in the department. The Department is particularly active in the following areas: * Artificial Intelligence and Multi-agent Systems (AIMS) * Data Science and Engineering (DSE) * Human Computer Interaction (HCI) * Robotics and Autonomous Systems (RAS) * Science and Technology for Health (STH) * Secure and Reliable Systems (SRS) * Systems Engineering (SE) The Department has strong connections with industries and positions are also available to conduct research on industrial applications. In particular, at the moment we are looking for researchers interested in the following topics: * AI and Data Analysis for railway transportation systems (position partly sponsored and in collaboration with Hitachi Rail) Interested researchers should send an email to enrico.giunchiglia at unige.it including their CV and/or an URL where information on their background could be found. (Please start the subject line of your message with ?[EoI2021]?.) Informal inquiries on the position can be addressed to prof. Enrico Giunchiglia by email (enrico.giunchiglia at unige.it). (Please start the subject line of your message with ?[EoI2021]?.) Deadline for application is May 1, 2021. -------------------------------------------------------------------------------------------------------------- Established in May 2012, DIBRIS research is mainly focussed in the areas of Computer Science and Technology, Bioengineering, Robotics and Systems Engineering. The Department counts more than 70 faculties and is involved in 4 PhD programs. The University of Genova is one of the oldest universities in the world, dating back to the 15th century. The university currently features 22 Departments and more than 30.000 students. More information at www.dibris.unige.it. On the Gulf of Genova in the Ligurian Sea, Genova is one of the most important ports on the Mediterranean, and one of the Italy?s major economic centers. Liguria is a narrow strip of land bordered by the sea, the Alps and the Apennine Mountains, very appreciated for its nice climate, sea, mountains and food. More information at https://en.wikipedia.org/wiki/Genoa, https://en.wikipedia.org/wiki/Liguria. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Thu Apr 15 05:40:39 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 15 Apr 2021 11:40:39 +0200 Subject: Connectionists: CFP ComNets @Networks 2021 July 01, 2021 Message-ID: Communities in Networks July 01, 2021 An Online Workshop Satellite of Networks 2021 Submission deadline: May 17, 2021 Acceptance notification: May 30, 2021 *Invited Speakers (TBU)* *Tiago Peixoto Central European University, Hungary* * Martin Rosvall Ume? University, Sweden* *Renaud Lambiotte University of Oxford, U.K * Community structure is one of the most relevant features encountered in numerous real-world applications of networked systems. Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few years to characterize, model, and analyze communities, more investigations are needed in order to better understand the impact of their structure and dynamics on networked systems. Therefore, the primary goal of this satellite workshop is to demonstrate the cutting-edge research advances on community structures in networks, in order to provide a landscape of research progresses and application potentials in related areas. Papers ranging from a broad nature, to various aspects of community structure with strong algorithmic innovations, but also application-oriented works are solicited. Topics relevant to this satellite session include, but are not limited to, the following: Models of Communities Evolution of Communities Dynamic and/of Communities Communities in Multiplex Temporal Communities Community Detection Communities and Epidemics Communities and Rumor Spreading Communities and Sampling Hierarchy and Ego-Networks Communities and Controllability Communities and Synchronization Communities and Embedding Models Communities in Mobile Networks Parallel Algorithms for Communities Communities in Biological Networks Communities in Brain Communities in Economics & Finance Communities and Machine Learning Communities and Resilience Communities and Link prediction Visual Representation of Communities Communities in Technological Networks Communities in Social Networks *CONTRIBUTION: * *Extended Abstracts* about published or unpublished research (2 to 4 pages including references). They must follow the BioMed Central article template available at: https://appliednetsci.springeropen.com/submission-guidelines/preparing-your-manuscript/research-articles *PUBLICATION: * Selected contributions will be invited to submit an extended version to a special issue of Applied Network Science edited by Springer *SUBMISSION WEBSITE* https://easychair.org/conferences/?conf=comnet2021 *ORGANIZERS* *Hocine Cherifi University of Burgundy, France* *Gergely Palla E?tv?s Lor?nd University, Hungary* *Boleslaw Szymanski, Rensselaer Polytechnic Institute, Troy, NY, USA* Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From gunnar.blohm at gmail.com Thu Apr 15 12:57:09 2021 From: gunnar.blohm at gmail.com (Gunnar Blohm) Date: Thu, 15 Apr 2021 12:57:09 -0400 Subject: Connectionists: Announcing Neuromatch Academy courses for 2021! Message-ID: Dear colleagues, We are excited to announce that Neuromatch Academy (NMA) will offer two courses this year: NMA-Computational Neuroscience: July 5-23, 2021 Content: https://github.com/NeuromatchAcademy/course-content NMA-Deep Learning: Aug 2-20, 2021 Content: https://github.com/NeuromatchAcademy/course-content-dl Applications for interactive students and teaching assistants will be open April 15 to May 7th 2021. Faculty interested in being project mentors can use the same portal to apply. Application Portal: https://portal.neuromatchacademy.org/ What is Neuromatch Academy? Neuromatch Academy (NMA) launched last year as a response to the COVID-19 pandemic. Our aim is to provide globally-accessible, high-quality, TA-supported training in computational techniques related to neuroscience. In 2020, NMA designed and ran a fully online 3-week Computational Neuroscience course for 1757 students with 191 teaching assistants (TAs) working in virtual inverted (or flipped) classrooms and on small group projects. Fourteen languages, active community management, and low cost allowed for an unprecedented level of inclusivity and universal accessibility. What?s in a course? Our courses are intensive 3-week programs involving hands-on tutorials developed by experts in the field. We have two tracks for students: interactive and observer.? Accepted interactive 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. Interactive students receive personalized support as they work through hands-on tutorials and collaborate on course projects. Officially registered observer track students have full access to the materials, access to NMA course communications (e.g., Discord), and can choose to be matched with other observer track students What does it cost? We charge full-time students/academics a region adjusted small fee for the Interactive track in order to pay for TAs (fee waivers are available to those who need it, no questions asked). Students without an academic affiliation (i.e., industry applicants) are charged the full unsubsidized cost of the school, but can also inquire about waivers. Observer track participants have access to all the content at no cost, but are not placed in TA-led pods. Please see the website (https://academy.neuromatch.io/) for additional information, pre-course resources and volunteer opportunities! Warm Regards, Neuromatch Academy team Follow @neuromatch on twitter for regular updates! -- Dr. Gunnar BLOHM Neuroscience Graduate Coordinator Professor in Computational Neuroscience Queen's U, Kingston, ON, 18 Stuart Str, Botterell Hall Rm 229 http://www.compneurosci.com/ From davy.weissenbacher at gmail.com Thu Apr 15 14:07:53 2021 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Thu, 15 Apr 2021 14:07:53 -0400 Subject: Connectionists: Call for Participation: BioCreative VII 2021 Message-ID: *Updated Call for Participation* BioCreative VII Challenge and Workshop Previous iterations of BioCreative have provided invaluable resources for advancing state-of-the-art text mining methods, including reference datasets and system evaluations in both shared and interactive modes. The COVID-19 pandemic triggered the development of text mining tools to support ongoing research efforts and address the wave of COVID-19 publications. Accordingly, BioCreative VII presents an interactive track to provide developers of COVID-19 text mining tools with feedback from potential users in the research community and announces a new track addressing multi-label topic classification to support the curation of COVID-19 literature. - *(**NEW**)* Track 4 - COVID-19 text mining tool interactive demo - *(NEW)* Track 5 - LitCovid track Multi-label topic classification for COVID-19 literature annotation The sudden spread of COVID-19 has challenged the biomedical community to identify potential drug treatments quickly. Thus, BioCreative VII previously presented three tracks focusing on the detection of chemicals, drugs, and related substances: - Track 1 - DrugProt: Text mining drug/chemical-protein interactions - Track 2 - NLM-Chem Track: Full-text Chemical Identification and Indexing in PubMed articles - Track 3 - Automatic extraction of medication names in tweets The workshop will take place sometime during the first two weeks for November 2021. See individual tracks for their timelines and http://www.biocreative.org/ for full information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zapotocky at biomed.cas.cz Thu Apr 15 18:16:34 2021 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Fri, 16 Apr 2021 00:16:34 +0200 Subject: Connectionists: CALL FOR WORKSHOPS AND TUTORIALS - 30th Annual Computational Neuroscience Meeting (CNS*2021) Message-ID: **Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA** ** *Call for Workshops and Tutorials**at the 30th Annual Computational Neuroscience Meeting (CNS*2021 Online, **July 3-7)***** We are requesting proposals for workshops and tutorials from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of the CNS*2021 Meeting . This is an excellent opportunity to reach the large online audience participating in this meeting (with over 1,000 attendees the previous year). Registration for tutorials and workshops is included in the main meeting registration. Please see the links below for detailed information. Questions regarding workshops and tutorials should be addressed to workshops at cnsorg.org or tutorials at cnsorg.org . We are looking forward to your submissions. CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2021-call-for-workshops Priority Deadline for proposals: *May 15* Jorge Mejias, Workshops Chair for CNS*2021 CALL FOR TUTORIALS: https://ocns.memberclicks.net/cns-2021-call-for-tutorials Deadline for proposals: *May 15* Anca Doloc-Mihu, Tutorials Chair for CNS*2021 -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: https://www.cnsorg.org -------------------------------------------------------------------------------------------- ------------------------------------------------------------------------ Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences. -------------- next part -------------- An HTML attachment was scrubbed... URL: From amulya at psu.edu Thu Apr 15 14:41:21 2021 From: amulya at psu.edu (Amulya Yadav) Date: Thu, 15 Apr 2021 14:41:21 -0400 Subject: Connectionists: Invitation to Attend: AI in a Post-COVID World: A Virtual Conference Message-ID: *AI in a Post-COVID World: A Virtual Conference* The Center for Socially Responsible Artificial Intelligence (CSRAI) at Penn State University is organizing a one-day virtual conference on "AI in a Post-COVID World" on May 13th, 2021. The conference will host world-class researchers, industry professionals, and non-profit organizations to focus on how AI research has responded in the face of COVID-19, how has it changed in the last year, and how is it likely to change in the coming years (and the role that AI researchers can expect to play in that change). Apart from distinguished keynote talks given by eminent researchers and government policymakers, the conference aims to engage lots of scholars and educators in three panel discussions on (i) Current & Future AI approaches for COVID-19; (ii) Synergistic AI and Government Response to COVID-19; and (iii) Research Funding Landscape Post COVID-19. The detailed itinerary of the conference can be found here: http://ai.psu.edu/post-covid Attendance from all around the world is welcome, and free registration for this virtual conference is available at the website link above. *Conference Date*: May 13th, 2021 *Conference Timings*: 10 AM - 5 PM EST (New York time) Please do not hesitate to contact the organizers if there are any questions. We look forward to meeting you at this event! With warm regards, Prasenjit Mitra Professor Penn State University Amulya Yadav PNC Career Development Assistant Professor Penn State University http://amulyayadav.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From aldo.lipani at acm.org Thu Apr 15 17:06:38 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Thu, 15 Apr 2021 23:06:38 +0200 Subject: Connectionists: CIKM 2021 - Call for Tutorials In-Reply-To: <3a9bca85-98d1-49dc-ba55-a9bc2d2dca1b@Spark> References: <3a9bca85-98d1-49dc-ba55-a9bc2d2dca1b@Spark> Message-ID: <55d7c4f1-a125-4058-b076-cb3ccb3b4396@Spark> Apologies for cross-posting. ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM 2021 will take place online in a lively and interactive manner. CIKM 2021 will host tutorials covering topics of interest for the CIKM community. Half-day and full-day tutorials that are of interest for the research community will take place before the main conference. CIKM 2021 will be a fully virtual conference, with no travel involved. Tutorial presentations will be given through live webinars with synchronized online discussions. We encourage proposals for both half- and full-day tutorials from active researchers and experienced tutors. Ideally, a tutorial is on a specific topic of interest and will provide a self-contained overview of a topic and then cover the state of the art research and developments on the topic of interest. The general areas include artificial intelligence, data science, databases, information retrieval, knowledge management, and other topics of relevance for the CIKM community. CIKM 2021 will provide free registration for at least one tutorial organizer. Please consider the submission guidelines shown below. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) ----------------- Submission Guidelines ----------------- Each tutorial proposal must include the following information: * Title of the tutorial * Length (either half-day, i.e., 3 hours plus breaks; or full day, i.e., 6 hours plus breaks) * Abstract of up to 150 words * Target audience, prerequisites, and benefits. Proposals must clearly identify the intended audience for the tutorial (e.g., novice users of statistical techniques, versus expert researchers in text mining). What background will be required of the audience? Why is this topic important and interesting to the CIKM community? What is the benefit to participants? * Outline of the tutorial. Enough material should be included to provide a sense of both the scope of material to be covered and the depth to which it will be covered. The more details that can be provided, the better (up to and including links to the actual slides). Presenters should not focus exclusively on their own research results ? a CIKM tutorial is not meant to be a forum for promoting one?s own research or product. * A list of the most important references that will be covered in the tutorial. * A list of forums, dates, and locations where this or a closely related tutorial has been presented before. Please highlight the similarities and differences between previous related tutorials, and the one proposed for CIKM 2021, using up to 150 words for each. * A short bio for each presenter, including their expertise related to the tutorial. Please do not exceed 200 words per presenter. * (Optional) URLs of the slides/notes of the previous presentations of this tutorial by the current set of authors. * Any specific audio, video, or computer requirements for presenting the tutorial. * The length of the whole proposal should be limited to 4 pages in ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Please submit your tutorial proposal as a PDF file, choosing the ?tutorial track? on the CIKM 2021 online submission system. --------------- Key Dates --------------- Tutorial proposal deadline: ? ?June 30, 2021 (anywhere in the world) Tutorial proposal notification: ? ?August 9, 2021 (anywhere in the world) Final camera ready: ? ?August 23, 2021 (anywhere in the world) --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- Tutorial Chair Contact Information ---------------------------- For more information, contact the appropriate Tutorial chairs: Tutorials Track Email: cikm2021-tutorial at easychair.org Mohamed Sharaf, United Arab Emirates University, UAE Min Zhang, Tsinghua University, China Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Thu Apr 15 10:48:24 2021 From: gangluo at cs.wisc.edu (GANG LUO) Date: Thu, 15 Apr 2021 14:48:24 +0000 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021) - virtual event In-Reply-To: References: Message-ID: -- Call for Papers -- The Seventh International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021) In Conjunction with VLDB 2021 Copenhagen, Denmark - virtual event August 20, 2021 https://sites.google.com/view/vldbdmah2021/ DMAH will be held online this year. Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modeling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2020 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Extended abstracts presenting novel research directions or challenging problems (4 pages). Important Dates: Abstract (optional): May 10, 2021 Individual Workshop Papers: May 16, 2021 Notification of Acceptance: June 10, 2021 Camera Ready: June 25, 2021 Workshop date: August 20, 2021 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland Jun Kong, Georgia State University, USA From nicholas.cummins at ieee.org Thu Apr 15 14:25:35 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Thu, 15 Apr 2021 19:25:35 +0100 Subject: Connectionists: CfP for Socially Informed AI for Healthcare Workshop, ACM ICMI 2021 Message-ID: *** PLEASE ACCEPT OUR APOLOGIES FOR MULTIPLE COPIES *** Dear colleagues, We are pleased to announce our workshop titled ?Socially-Informed AI for Healthcare: Understanding and Generating Multimodal Nonverbal Cues? which takes place as part of the 23rd ACM International Conference on Multimodal Interaction 2021 in October 2021 in Montreal, Canada. For more information, please see https://social-ai-for-healthcare.github.io/. # CALL FOR PAPERS Advances in the areas of face and gesture analysis, computational paralinguistics, multimodal interaction, and human-computer interaction have all played a major role in shaping research into assistive technologies over the last decade, resulting in a breadth of practical applications ranging from diagnosis and treatment tools to social companion technologies. While nonverbal cues play an essential role, there are still many key issues to overcome, which affect both the development and the deployment of multimodal technologies in real-world settings. The key aim of this multidisciplinary workshop is to foster cross-pollination by bringing together computer scientists and social psychologists to discuss innovative ideas, challenges and opportunities for understanding and generating multimodal nonverbal cues within the scope of healthcare applications. Topics include, but are not limited to: - Analysis and synthesis of multimodal nonverbal cues, including facial expressions, paralinguistics, eye gaze and head movements, body postures and hand gestures, audio (e.g., turn taking, vocal outbursts, etc.) within an interaction context, - Co-modelling of nonverbal and verbal cues, - Cross-modality learning for the analysis and synthesis of nonverbal cues, - Novel methodologies for modelling long-term interactions through multiple modalities, - Modelling of interpersonal coordination such as convergence, synchrony or mimicry, - Personalisation and adaptation mechanisms for healthcare applications, - Automatic detection of non-conforming patterns and/or violations in social norms and expectations (expectancy violations theory) in nonverbal interaction, - Clinical applications (e.g., autism, depression, anxiety, etc.), including defining appropriate qualitative and quantitative evaluation methods, - Privacy preserving approaches to data collection or synthetic data generation, - Novel technological devices or robotics platforms specifically for healthcare applications, - Explainable AI techniques focused towards clinical applications. # KEYNOTE SPEAKERS Prof. Antonia Hamilton, University College London, UK Dr Stefan Scherer, Embodied, Inc., USA Prof. Laurel Riek, University of California, San Diego, USA # KEY DATES Paper submission: June 18, 2021 Paper notification: August 9, 2021 Camera-ready paper submission: September 10, 2021 Workshop day: TBA (held in conjunction with ACM ICMI 2021) # INFORMATION FOR AUTHORS Submissions will be via Easychair and should follow the ICMI template, more information can be found at the workshop website https://social-ai-for-healthcare.github.io/. We welcome research papers in the following formats: - Workshop Full Paper =8 Page Limit + extra pages for references - Workshop Short Paper =4 Page Limit + extra pages for references - Workshop Poster Abstract =3 Page Limit + extra pages for references Please share this message with interested colleagues. With many thanks and best wishes, Oya Celiktutan Alexandra Georgescu Nicholas Cummins Organisers, Socially Informed AI for Healthcare 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From scienceeventsfb at gmail.com Fri Apr 16 03:19:17 2021 From: scienceeventsfb at gmail.com (Felix Ball) Date: Fri, 16 Apr 2021 09:19:17 +0200 Subject: Connectionists: 4th Modelling Symposium (Deep Neural Networks), July, 2021, register till May, 1st In-Reply-To: References: Message-ID: Please forward this mail to anyone who might be interested in attending the workshop. ----- Dear fellow scientists and modellers, After some ups and downs, I am delighted to announce that the 4th Modelling Symposium will take place in July, 2021 (26.07.2021 - 30.07.2021). Due to the ongoing pandemic it will be an online seminar (using Zoom). The symposium will provide you with an broad overview and introduction into Deep Neural Networks (DNNs) covering a wide range of topics, including basic introductions into DNNs, common building blocks, design patterns and architectures, best practices, optimization, applications etc. For more details and registration, please visit my website: https://felix-ball.jimdofree.com/workshops/ Summary/ General information: ? The Symposium takes place in July (26.07.2021 - 30.07.2021, 4-day Workshop) in Magdeburg, Germany. ? The registration/pre-registration deadline is May, 1st (2021, CET). ? The costs of the workshop are 0 ? (NWG member), 150 ? (non-NWG member, academia) and 300 ? (non-NWG member, outside academia). ? There are possibilities to present your research/research idea (poster) and discuss your project ideas/data with our tutor. Looking forward to see you online, Felix Ball -------------- next part -------------- An HTML attachment was scrubbed... URL: From aldo.lipani at acm.org Fri Apr 16 04:08:25 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Fri, 16 Apr 2021 10:08:25 +0200 Subject: Connectionists: CIKM 2021 - 2nd Call for Workshops (One week left to the proposal deadline, April 21) In-Reply-To: References: Message-ID: Apologies for cross-posting. ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The ACM Conference on Information and Knowledge Management (CIKM) is the premier international conference on topics at the confluence of information retrieval, databases, and knowledge management. Running annually since 1992, CIKM attracts top talent from industry and academia, with the goal of fostering collaboration and bridging the academic-commercial gap in the database, information retrieval, and knowledge management communities. We look for prospective submissions of highly interactive full-/half-day workshops proposing novel research, deepening established research topics or presenting practical applications on the many aspects of the data lifecycle (data acquisition, preprocessing, modeling, integration/aggregation, storage, analysis and consumption). Interdisciplinary workshops bridging across different communities are also highly encouraged. Workshops will complement the main CIKM conference to be held online and hosted in Gold Coast, Queensland, Australia from November 1-5, 2021 AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) --------------- Key Dates --------------- Workshop proposal submission: ? ?April 21, 2021 (anywhere in the world) Proposal acceptance notification: ? ?May 7, 2021 (anywhere in the world) Camera ready of the proposal: ? ?August 23, 2021 (anywhere in the world) ----------------- Submission Guidelines ----------------- Please use the CIKM 2021 Workshop Proposal Template (https://drive.google.com/file/d/1kRT7vM6qrqNh8vmt1uB_p9OSgcGLbJQJ/view?usp=sharing) for your submission. Send the proposal to cikm2021-workshop at easychair.org with subject ?CIKM2021 ? YOURACRONYM Workshop Proposal?.??Workshop proposals are reviewed based on the quality of the proposal, their relation to the main CIKM topics, and the likelihood to attract enough participants as well as the hosting capacity of the conference. Exact workshop paper submission and author notification due dates are at the discretion of workshop organizers; a recommended timeline is indicated below. Suggested dates for paper submissions to the workshop: Paper submission: ? ?July 15, 2021 Paper acceptance notification: ? ?August 15, 2021 Workshop dates will be flexible. By default, workshop papers will be included in a CIKM companion volume published by http://ceur-ws.org/. To help preserve the authors? ability to submit a revised version of their paper to a conference or journal, joining the volume is left at the discretion of the organizers. Should you decide to go for the companion volume, we might request to align your deadlines to the other interested workshops. --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere the the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- Workshop Chair Contact Information ---------------------------- For further information, contact the workshop chairs: Workshop Track Email: cikm2021-workshop at easychair.org Gao Cong, Nanyang Technological University, Singapore Maya Ramanath, Indian Institute of Technology Delhi, India Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Fri Apr 16 04:51:21 2021 From: a.dorrn at fz-juelich.de (Anja Dorrn) Date: Fri, 16 Apr 2021 10:51:21 +0200 Subject: Connectionists: Announcing "Bernstein SmartSteps - Featuring Early Career Scientists" Message-ID: The Bernstein SmartSteps series provides a unique platform for selected Early Career Scientists of the Bernstein Network Computational Neuroscience to present their research projects to the scientific community. Once a month, starting in April 2021, one PhD candidate and one Postdoc who are ready to take their next (smart) step for their scientific career will discuss their research in an online seminar. Join the Bernstein SmartSteps Series as an audience if you are interested in cutting-edge computational neuroscience and want to watch out for new talents in the field. The live talks will be held in Zoom. A recording will be published in a separate collection on the Bernstein Vimeo Channel. Please register here, if you would like to join for the live talks. A link to the event in Zoom will be sent shortly before via email. Spring Talks 2021 Thursday, April 29, 4 pm CEST * Gily Ginosar (Ulanovsky lab) | Weizmann Institut, Rehovot, Israel Locally-ordered representation of 3D space in the entorhinal cortex * Friedrich Schuessler (Barak lab) | Technion, Haifa, Israel Recurrent network dynamics lead to interference in sequential learning Thursday, May 20, 4 pm CEST * Claire Meissner-Bernard (Friedrich lab) | Friedrich Miescher Institut, Basel, Schweiz Co-tuned, balanced excitation and inhibition in olfactory memory networks * Samuel Eckmann (Gjorgjieva lab) | Max Planck Institut f?r Hirnforschung, Frankfurt, Deutschland A theory for Hebbian learning in recurrent E-I networks Thursday, June 10, 4 pm CEST * Paul Pfeiffer (Schreiber lab) | Humboldt Universit?t zu Berlin, Deutschland Capacitance clamp - artificial capacitance in biological neurons via dynamic clamp * Willem Wybo (Morrison lab) | Forschungszentrum J?lich, Deutschland Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.reske at fz-juelich.de Fri Apr 16 10:13:47 2021 From: m.reske at fz-juelich.de (Martina Reske) Date: Fri, 16 Apr 2021 16:13:47 +0200 Subject: Connectionists: Job Opening in Juelich, Germany: Postdoc in Computational Neuroscience - Priority Program 2041Computational Connectomics Message-ID: The Institute of Neuroscience and Medicine (INM) at the J?lich Research Center in Germany investigates the structure and function of the brain. The subinstitute INM-6 consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Priority Program "Computational Connectomics" is a Germany-wide collaboration aiming at comprehensive descriptions of neuronal network connectivity and insight into its relationships to brain dynamics and function. The candidate will strengthen our team in the project ?Cellular, connectional and molecular heterogeneity in a large-scale computational model of the human cerebral cortex?, which is embedded in the context of the Priority Program. It will be supervised by Prof. Sacha van Albada and is a collaboration with Dr. Alexandros Goulas (UKE Hamburg) and Dr. Timo Dickscheid (INM-1, J?lich Research Center). This collaboration links cytoarchitecture (Dr. Dickscheid) to connectomics (Dr. Goulas) and finally cortical network dynamics (Prof. van Albada). Simulations using the neural network simulation tool NEST on the J?lich supercomputers provide the unique opportunity for investigating spiking cortical models at the full density of neurons and synapses. We are looking to recruit a Postdoc in Computational Neuroscience - Priority Program 2041 Computational Connectomics Your Job: * Extending and refining a large-scale spiking neural network model of human cerebral cortex * Investigating the origins of area- and layer-specific cortical timescales and oscillations * Supervising PhD and Master students * Maintaining active collaborations with project partners * Writing, documenting, and publishing high-quality simulation, analysis, and visualization scripts * Presenting project results at national and international conferences * Publishing project results in peer-reviewed international journals Your Profile: * Completed study (Master) in natural sciences, computer science or mathematics * PhD in computational neuroscience * Extensive experience with neural network simulations and analytical mean-field theory * Excellent knowledge of cortical anatomy and physiology * Structured and organized style of working * Fluent in English, spoken and written * Ability to work independently * Good social and student supervision skills * Willingness to travel Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Full-time position with the option of slightly reduced working hours and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 1 year, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TV?D). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade 13 TV?D-Bund. Forschungszentrum J?lich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. Please apply via our online recruiting system, quoting the reference number 2021-091. Martina Reske -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sat Apr 17 17:20:09 2021 From: cgf at isep.ipp.pt (Carlos) Date: Sat, 17 Apr 2021 22:20:09 +0100 Subject: Connectionists: Summer School on Data-Driven Predictive Maintenance for Industry 4.0 Message-ID: DSAA'2021 Parallel Event: Summer School on Data-Driven Predictive Maintenance for Industry 4.0 Porto, Portugal, October 3?5, 2021 The Summer School is for students, researchers, and practitioners who want to learn how to implement predictive maintenance to solve real industrial problems using machine learning approaches. More information at: https://hh.se/PMSummerSchool Carlos Ferreira [https://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat Apr 17 06:42:59 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sat, 17 Apr 2021 13:42:59 +0300 Subject: Connectionists: 8th International Symposium on End-User Development (IS-EUD 2021): Last Call for Demos, Work in Progress and DC Message-ID: <8X7MU4T1-M2QB-NX45-OEI0-UHIXE0EYBKXI@cs.ucy.ac.cy> *** Last Call for Demos, Work in Progress and DC *** 8th International Symposium on End-User Development (IS-EUD 2021): "Democratizing AI Development" July 6-8, 2021, Atlantica Miramare Beach Hotel 4*, Limassol, Cyprus http://www.cs.ucy.ac.cy/~george/GPList_Manager2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQk4dGggSW50ZXJuYXRpb25hbCBTeW1wb3NpdW0gb24gRW5kLVVzZXIgRGV2ZWxvcG1lbnQgKElTLUVVRCAyMDIxKTogTGFzdCBDYWxsIGZvciBEZW1vcywgV29yayBpbiBQcm9ncmVzcyBhbmQgREMJNTkwCUdlb3JnZQkyOAljbGljawl5ZXMJbm8=&url=http%3A%2F%2Fcyprusconferences.org%2Fiseud2021%2F End-user development (EUD) aims at empowering end users to develop and adapt systems at a level of complexity that is adequate to their expertise, practices, and skills. EUD may occur along the entire software lifecycle, with the purpose of making users able to participate in their artifact development, not only at design time, but also during actual use. Originally, EUD was conceived as a more general concept than end-user programming; thus, scholars proposed methods, techniques and tools that allow end users to modify or extend software artifacts, such as spreadsheets, web applications, video games, and mobile applications. In the co-called Internet of Things era, end-user development moved on to address the problem of defining and modifying the behavior of smart environments, including smart objects, pervasive displays, smart homes, smart cities, and so on. Therefore, the term "end-user development" acquired a broader meaning covering approaches, frameworks and socio-technical environments that allow end users to express themselves in crafting digital artifacts that encompass both software and hardware technology. Recent research and technological trends like Artificial Intelligence (AI), Big Data, Cyber-Security, Robotics, and Industry 4.0, have contributed to renew the vision of end-user development, by providing tools and platforms that allow end users to harness the power of AI to create solutions involving Computer Vision, Image Processing, Conversational User Interfaces, as well as solutions for smart environments. Such developments lower the threshold for creating AI solutions, and expand the programmer base for such solutions, by extending AI application both for professional and discretionary use. IS-EUD is a bi-annual event for researchers and practitioners with an interdisciplinary approach to EUD, including: Human-Computer Interaction, Software Engineering, Computer Supported Cooperative Work, Human-Work Interaction Design, and related areas. IS-EUD 2021 Theme: Democratizing AI Development The 2021 edition of IS-EUD focuses on EUD for AI-based systems, where end users are called on to become end-user developers of intelligent agents, digital twins, collaborative and social robots. This edition would like to discuss the adoption of EUD in new fields, the proposal of novel EUD paradigms, and the impact of AI-based EUD in terms of user acceptability and appropriation. One of the most interesting topics in human-AI interaction is explainability of AI-based systems: research submissions presenting end- user oriented solutions to this problem will be particularly welcome. Theoretical and empirical work analyzing pros and cons of this new EUD wave, identifying requirements for end-user development of AI and acceptance of related solutions is invited. Software infrastructures and eco- systems supporting the reuse of solutions and the emergence of meta- design practices are of particular interest to this community, linking the challenges relating AI to topics central to the IS-EUD community. Conference Topics The conference welcomes contributions that: ? describe new, simple and efficient environments for end-user development ? describe new processes, methods and techniques for empowering users to create, modify and tailor digital artifacts ? present case studies and design implications on challenges and practices of end-user development ? develop theoretical concepts and foundations for the field of end-user development Specific topics include (but are not limited to) the following ones: ? User-oriented orchestration of AI-based devices ? Conversational interfaces for end-user development ? End-user development for big data visualization and exploration ? End-user development for collaborative robotics ? End-user development for social robotics ? End-user development in Industry 4.0 ? End-user development and explainable AI-based systems ? Cybersecurity and end-user development ? End-user development in daily life ? Technologies and infrastructures for end-user development ? Empirical studies of end-user development ? Recommender systems to support end-user development ? Cultures of participation and meta-design approaches ? Technology acceptance and adoption studies of end-user development technologies ? Evaluation of end-user development technologies ? Supporting creative work through end-user development Submissions We invite submissions for Demos, Work in Progress and Doctoral Consortium. A Demonstration paper (max 6 pages) should be structured according to the following: ? Abstract (150 words maximum) ? Topics to be covered and their relevance to the EUD community ? Detailed description of the planned demonstration activity ? Diagrams or screenshots (if relevant) ? Supporting documentation (e.g., project website) ? References Work in Progress submissions (max 6 pages) are intended for presenting preliminary results or tentative findings and position papers. The authors of accepted contributions will have the opportunity to give an oral presentation during parallel sessions. Finally, the IS-EUD Doctoral Consortium is intended to bring together PhD students working on theory and application of EUD. We particularly encourage students that are about half-way through their doctoral research to submit doctoral consortium contributions (max 6 pages) describing the topic of their PhD, their approach and a summary of their progress. Demonstration, Work in Progress and Doctoral Consortium submissions should indicate in the title page ?Demo?, ?WiP? or ?DC? respectively. Accepted submissions will be included in IS-EUD 2021 adjunct proceedings, which will be submitted to http://www.cs.ucy.ac.cy/~george/GPList_Manager2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQk4dGggSW50ZXJuYXRpb25hbCBTeW1wb3NpdW0gb24gRW5kLVVzZXIgRGV2ZWxvcG1lbnQgKElTLUVVRCAyMDIxKTogTGFzdCBDYWxsIGZvciBEZW1vcywgV29yayBpbiBQcm9ncmVzcyBhbmQgREMJNTkwCUdlb3JnZQkyOAljbGljawl5ZXMJbm8=&url=http%3A%2F%2Fceur-ws.org for online publication. Submissions of all types should be carefully formatted according to the Springer LNCS format: http://www.cs.ucy.ac.cy/~george/GPList_Manager2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQk4dGggSW50ZXJuYXRpb25hbCBTeW1wb3NpdW0gb24gRW5kLVVzZXIgRGV2ZWxvcG1lbnQgKElTLUVVRCAyMDIxKTogTGFzdCBDYWxsIGZvciBEZW1vcywgV29yayBpbiBQcm9ncmVzcyBhbmQgREMJNTkwCUdlb3JnZQkyOAljbGljawl5ZXMJbm8=&url=https%3A%2F%2Fwww.springer.com%2Fgp%2Fcomputer-science%2Flncs%2Fconference-proceedings-guidelines and should be submitted through the Easy Chair system at: http://www.cs.ucy.ac.cy/~george/GPList_Manager2021/lm.php?tk=CQlGb3JtYWwJY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQk4dGggSW50ZXJuYXRpb25hbCBTeW1wb3NpdW0gb24gRW5kLVVzZXIgRGV2ZWxvcG1lbnQgKElTLUVVRCAyMDIxKTogTGFzdCBDYWxsIGZvciBEZW1vcywgV29yayBpbiBQcm9ncmVzcyBhbmQgREMJNTkwCUdlb3JnZQkyOAljbGljawl5ZXMJbm8=&url=https%3A%2F%2Feasychair.org%2Fconferences%2F%3Fconf%3Diseud2021 Important Dates ? Submissions in all categories: April 21, 2021 ? Notification: May 15, 2021 ? Camera-ready: May 31, 2021 Organizers General Chairs ? Panos Markopoulos (Eindhoven University of Technology, The Netherlands) ? George A. Papadopoulos (University of Cyprus, Cyprus) Program Chairs ? Daniela Fogli (University of Brescia, Italy) ? Daniel Tetteroo (Eindhoven University of Technology, The Netherlands) Short papers Chairs ? Barbara Rita Barricelli (University of Brescia, Italy) ? Simone Borsci (University of Twente, The Netherlands) Work in Progress Chairs ? Jelle Van Dijk (University of Twente, The Netherlands) ? Carmen Santoro (ISTI-CNR, Italy) Demonstration Chair ? Stefano Valtolina (University of Milan, Italy) Workshop Chairs ? Styliani Kleanthous (Open University of Cyprus, Cyprus) ? Simone Stumpf (City University London, UK) Doctoral Consortium Chairs ? Monica Maceli (Pratt Institute, USA) ? Antonio Piccinno (University of Bari, Italy) -------------- next part -------------- An HTML attachment was scrubbed... URL: From calendarsites at insticc.org Fri Apr 16 11:48:45 2021 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Fri, 16 Apr 2021 16:48:45 +0100 Subject: Connectionists: [CFP] Last Call :: 18th Int. Conf. on e-Business (Deadline 29th of April) Message-ID: <013901d732d7$ff747a60$fe5d6f20$@insticc.org> Dear Colleagues, It is our pleasure to invite you to submit your latest research results to the 18th Int. Conf. on e-Business (ICE-B 2021), that will be held Online from July 07 to July 09, 2021, until the 29th of April. Please notice this is a hard deadline and will not be extended. ICE-B 2021 is an annual conference whose goal is to bring together researchers, engineers and practitioners interested in e-Business technology and its current applications. The scope of the conference covers low-level technological issues, such as technology platforms, internet of things and web services, but also higher-level issues, such as business processes, business intelligence, value setting and business strategy. Furthermore, it covers different approaches to address these issues and different possible applications with their own specific needs and requirements on technology. These are all areas of theoretical and practical importance within the broad scope of e-Business, whose growing importance can be seen from the increasing interest of the IT research community. The conference will be held in cooperation with the ACM Special Interest Group on Management Information Systems and will include in its technical program remarkable distinguished speakers, such as: Jan Brocke, University of Liechtenstein, Liechtenstein Florian Matthes, Technische Universit?t M?nchen, Germany The conference proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index and a short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Kind regards, M?nica Saramago On behalf of Conference Chair Marten van Sinderen, University of Twente, Netherlands Program Chair Fons Wijnhoven, University of Twente, Netherlands Web: http://www.ice-business.org/ e-mail: ice-b.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From sias at sscc.fr Mon Apr 19 04:41:34 2021 From: sias at sscc.fr (Symposium IAS ) Date: Mon, 19 Apr 2021 10:41:34 +0200 Subject: Connectionists: [SIAS 2021] Symposium on Intelligent and Autonomous Systems References: <025601d71694$7a316f70$6e944e50$@sscc.fr> <292994533.339190.1616577676561@email.ionos.fr> <286750618.1055499.1617868238093@email.ionos.fr> Message-ID: <001f01d734f7$d8d71620$8a854260$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Virtual. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture ? IAS modeling (formal models, SysML, UML, etc) ? Correct-by-construction in IAS ? MBSE, MDA and DDA for IAS ? Virtualization and digital twins for IAS ? Blockchains and decentralized architecture for IAS ? IAS smart Networking ? Communication protocols for IAS ? Edges, Fog, and Cloud in IAS ? Distributed database for IAS ? Web services for IAS ? Social aspects and human interaction in IAS IAS Analysis ? Artificial intelligence, deep learning, and machine learning in IAS ? Model checking and theorem proving for IAS ? Abstraction and compositional verification for IAS ? Optimization and SAT solvers for IAS ? Dynamic and static analysis for IAS ? Statistical analysis for IAS ? Testing for IAS ? Smart decision making in IAS ? Fog and edge computing for IAS IAS Assurance ? Security specification, requirements, and management in IAS ? Security in distributed IAS ? Modeling, analysis and detection of attacks in IAS ? Data mining for cybersecurity in IAS ? Security protocols for IAS ? Safety policies for IAS ? Safety reinforcement models in IAS ? Safety standard analysis for IAS ? Resilience metrics and models for IAS ? Resilience strategies and plans for IAS ? Recovery systems for IAS resiliency ? Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases ? Applications and Software Platforms for IAS ? IoT and CPS for IAS ? Smart cities ? IAS for industrial and production CPS ? Autonomous robots and vehicles ? Human-Robot Interaction ? Smart logistics (transportation, supply chain, etc) Important Dates ? Submission Date: 25 April,2021 ? Notification to Authors: 25 May, 2021 ? Camera Ready Submission: 4 June, 2021 Submission System ? https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ns779 at cam.ac.uk Mon Apr 19 05:51:20 2021 From: ns779 at cam.ac.uk (Nikola Simidjievski) Date: Mon, 19 Apr 2021 10:51:20 +0100 Subject: Connectionists: Announcement: ECML PKDD 2021 Discovery Challenge "Discover the mysteries of the Maya" - AI4EO: Cultural heritage protection Message-ID: Dear colleagues, we are delighted to announce that we launched the machine learning competition ?Discover the mysteries of the Maya? and we invite you to participate in it. The goal of the challenge is to explore the potential of the Sentinel satellite data (Sentinel 1 and 2), in combination with the available lidar data, for integrated image segmentation in order to locate and identify ?lost? ancient Maya settlements (aguadas, buildings and platforms), hidden under the thick forest canopy. The effort is aimed towards the use of AI and EO towards the protection of the cultural heritage. The competition is organized as ECML PKDD 2021 Discovery Challenge ?Discover the mysteries of the Maya? ( https://2021.ecmlpkdd.org/?page_id=1647). The winners of the competition, beside being invited to present their solutions at this year's ECML PKDD 2021 Discovery Challenge Track, will also receive money prizes. The competition deadline is July 1st, 2021. More details are available at https://biasvariancelabs.github.io/maya_challenge/ The competition is organized by: Bias Variance Labs, Slovenia ZRC SAZU, Slovenia Jozef Stefan Institute, Slovenia Phi-Lab, ESRIN, European Space Agency, Italy Best regards, Nikola Simidjievski, also on behalf of the other co-organizers -- *Dr. Nikola Simidjievski* *Department of Computer Science and Technology* *University of Cambridge* -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Mon Apr 19 21:13:56 2021 From: terry at salk.edu (Terry Sejnowski) Date: Mon, 19 Apr 2021 18:13:56 -0700 Subject: Connectionists: NEURAL COMPUTATION - May 1, 2021 In-Reply-To: Message-ID: Neural Computation - Volume 33, Number 5 - May 1, 2021 available online for download now: http://www.mitpressjournals.org/toc/neco/33/5 http://cognet.mit.edu/content/neural-computation ----- Article The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves Corey Weistuch, Lilianne R Mujica-Parodi, and Ken Dill Letters Towards a Kernel Based Uncertainty Decomposition Framework for Data and Models Rishabh Singh, Jose C. Principe Training Recurrent Spiking Neural Networks in Strong Coupling Regime Christopher M Kim, Carson C Chow Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization Takuya Shimada, Han Bao, Issei Sato, and Masashi Sugiyama Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework Yalda Amidi, Behzad Nazari, Saeid Sadri, and Ali Yousefi Contrastive Similarity Matching for Supervised Learning Shanshan Qin, Nayantara Mudur, and Cengiz Pehlevan Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set Zhen Xiang, David J. Miller, George Kesidis, and Hang Wang Hierarchical Dynamical Model for Multiple Cortical Neural Decoding Xi Liu, Xiang Shen, Shuhang Chen, Xiang Zhang, Yifan Huang, Yueming Wang, and Yiwen Wang Predictive Processing: A Cognitive Robotics Review Alejandra Ciria, Guido Schillaci, Giovanni Pezzulo, Verena Hafner, and Bruno Lara ----- ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From kgcpitch at gmail.com Mon Apr 19 22:10:46 2021 From: kgcpitch at gmail.com (Margaret Kocherga) Date: Mon, 19 Apr 2021 22:10:46 -0400 Subject: Connectionists: Knowledge Graph Conference pitch event, still not late to apply! Message-ID: Hello, The knowledge graph conference would like to invite you to our startup pitch event. We are very excited about our upcoming event, happening on May 3rd and 4th! Our goal is to match investors with startups, and build relationships among people in the space. This is the perfect opportunity to come showcase your startup company, your team, and your vision! Every startup providing a pitch will be receiving invaluable feedback from knowledgeable investors in an effort to help you succeed in your business endeavors. The investors are going to be selecting those they deem to have provided the best pitches to present their startups during the live event. Please refer anyone relevant to this space! *Apply by April 21 11:59 pm EST. T**o apply click here * . [image: pitch_event_flyer-horizontal.png] If you have any questions, do not hesitate to reach out to kgcpitch at gmail.com. We look forward to seeing you there! -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: pitch_event_flyer-horizontal.png Type: image/png Size: 2540780 bytes Desc: not available URL: From fabio.bellavia at unifi.it Mon Apr 19 11:25:57 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Mon, 19 Apr 2021 17:25:57 +0200 Subject: Connectionists: CFP - MDPI Journal of Imaging special issue on "Fine Art Pattern Extraction and Recognition" [deadline 31 May 2021] Message-ID: <31d92a4b-5776-58ef-1d0f-2cdc4721595c@unifi.it> apologies for multiple posting, please distribute among interested parties __________________________________________________________________________ ??????????????? ? ?? Call for Papers - Special Issue ?? ???????????????? of the MDPI Journal of Imaging on ? ? ????????? _____________________________________________ ?? ? ????????? Fine Art Pattern Extraction and Recognition ??? ? ??????? _____________________________________________ ????????????? ?? D E A D L I N E 3 1?? M A Y?? 2 0 2 1 ????????????? _____________________________________________ -->>> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<<-- __________________________________________________________________________ ___________ Aim & Scope Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. This special issue will provide the researchers from diverse areas such as pattern recognition, computer vision, artificial intelligence, and image processing, with the opportunity to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. _______________________________________ Topics include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio, and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products, or prototypes for cultural heritage restoration, preservation, and fruition _______________________________________________ Submission Deadline (*EXTENDED*):? 31 May 2021 _______________________________________________ Submit your paper to manuscript submission and peer review site via the following link: ->> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<- The Article Processing Charge (APC) for publication in the MDPI Journal of Imaging is 1000 CHF (Swiss Francs). ________________ Editor-in-Chief ________________ Prof. Gonzalo Pajares Martinsanz, Universitad Complutense de Madrid, Spain ______________ Guest Editors ______________ Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy From mtanveer at iiti.ac.in Tue Apr 20 04:36:04 2021 From: mtanveer at iiti.ac.in (M Tanveer) Date: Tue, 20 Apr 2021 14:06:04 +0530 Subject: Connectionists: Call for Papers: IEEE JBHI, IEEE TETCI and ANOR, Springer Message-ID: Dear Colleague, We are organizing a few special issues and look forward to receiving your high-quality submissions. Kindly encourage your group to submit high quality papers and if possible please circulate within your circle. (1) Advanced machine learning algorithms for biomedical data and imaging Journal: IEEE Journal of Biomedical and Health Informatics Editors: M. Tanveer, CT Lin, AK Singh Deadline for submissions: July 31, 2021 (2) Emerging computational intelligence techniques to address challenges in biomedical data and imaging Journal: IEEE Transactions on Emerging Topics in Computational Intelligence Editors: M. Tanveer, Chin-Teng Lin, Chuan-Kang Ting, Javier Andreu Perez Deadline for submissions: April 30, 2021 (3) Robust data analysis and its applications Journal: Annals of Operations Research, Springer Editors: Panos M. Pardalos, Hossein Moosaei, Milan Hlad?k, M. Tanveer Deadline for submissions: June 30, 2021 Thank you very much. Kind regards, Tanveer ---------------------------------------------------------- Dr. M. Tanveer Associate Professor and Ramanujan Fellow Discipline of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From pablo.alvesdebarros at iit.it Tue Apr 20 09:51:15 2021 From: pablo.alvesdebarros at iit.it (Pablo Vinicius Alves De Barros) Date: Tue, 20 Apr 2021 13:51:15 +0000 Subject: Connectionists: Call for Participation - The Chef's Hat Cup @ IJCAI2021 In-Reply-To: References: , Message-ID: <32a8c051c9e94214b535664dde734ad7@iit.it> Call For Participation - The Chef's Hat Cup @ IJCAI2021 I. Aim and Scope Most of the current Reinforcement-Learning solutions, although having real-world-inspired scenarios, focus on a direct space-action-reward mapping between the agent's actions and the environment?s state. That translates to agents that can adapt to dynamic scenarios, but, when applied to competitive and/or cooperative cases, fail to assess and deal with the impact of their opponents. In most cases, when these agents choose an action, they do not take into consideration how other agents can affect the state of the scenario. In competitive scenarios, the agents have to learn decisions that a) maximize their chances of winning the game, and b) minimize their adversaries' goals, while in cooperative scenarios b) is inverted. Besides dealing with complex scenarios, such solutions would have to deal with the dynamics between the agents themselves. In this regard, social reinforcement learning is still behind the mainstream applications and demonstrations of the last years. We introduce here the Chef's Hat Cup, a competition that aims at the development of the most challenging artificial players! The competition is separated into two tracks: a competitive and a cooperative scenario. In the first track, the participants will use the already available simulation environment to develop the most effective agents to play the Chef?s Hat card game and be the winner. In the second track, they will have to develop an agent that can increase the chances of a dummy agent winning the game. More information: https://www.whisperproject.eu/chefshat#competition II. Deadlines Starting Date: April 20, 2021 Final submission: June 15, 2021 Winners Announcement: July 06, 2021 III. Team Registration Teams of up to five persons are invited to participate in the competition. You can register by sending the following information: Team name Participant Names and affiliation to this email: pablo.alvesdebarros at iit.it IV. Organizers Pablo Barros, Italian Institute of Technology (IIT), Italy Leandro Honorato, University of Pernambuco, Brazil Marco Matarese, Italian Institute of Technology (IIT), Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Italy ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia ? Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros at iit.it website: https://www.pablobarros.net twitter: @PBarros_br -------------- next part -------------- An HTML attachment was scrubbed... URL: From pattichi at ucy.ac.cy Tue Apr 20 09:53:33 2021 From: pattichi at ucy.ac.cy (Constantinos Pattichis) Date: Tue, 20 Apr 2021 16:53:33 +0300 Subject: Connectionists: [CAIP2021] CAIP 2021 - VIRTUAL CONFERENCE - EXTENDED PAPER SUBMISSION DEADLINE - 05 MAY 2021 In-Reply-To: References: <016801d6f32e$5441ec60$fcc5c520$@easyconferences.eu> <01bd01d6f3b1$2e833500$8b899f00$@easyconferences.eu> <00e801d6f47c$437dfaa0$ca79efe0$@easyconferences.eu> <00f001d6f47c$9c7e6720$d57b3560$@easyconferences.eu> <042a01d70075$8e432e20$aac98a60$@easyconferences.eu> <019e01d724a3$e3d4eb10$ab7ec130$@easyconferences.eu> Message-ID: *Due to the COVID-19 global pandemic, CAIP 2021 will be held as a virtual conference. The Organizing Committee would like to thank you for your commitment and support and reassure you that they are dedicated to offering the best possible online experience to attendees.* Call for Papers*http://cyprusconferences.org/caip2021 * CAIP 2021 is the 19th in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. Previous conferences were held in Salerno, Ystad, Valletta, York, Seville, M?nster, Vienna, Paris, etc. The scientific program of the conference will consist of plenary lectures and contributed papers presented in a single track. Furthermore, CAIP 2021 will feature contests and tutorials preceding the main conference event, as well as workshops following the main conference event. CAIP 2021 will also host a student?s paper competition. *Fields of Interest* The conference invites novel contributions to the automatic analysis of images and patterns, encompassing both new challenging application areas and substantial new theoretical developments in the field. - 3D Vision - Biomedical image and pattern analysis - Biometrics - Brain ? inspired methods - Computer Vision Accelerators - Deep Learning - Document analysis - Egocentric Vision - Face and gestures - Feature Extraction - Graph-based methods - High ? dimensional topology methods - Human pose estimation - Image restoration - Image/video indexing & retrieval - Keypoint detection - Machine learning for image and pattern analysis - Mobile multimedia - Model-based vision - Motion and tracking - Object recognition - Segmentation - Shape representation and analysis - Vision for robotics / drones/ UAVs *Special Research Award* CAIP 2021 will give a special research award for the best paper of the conference associated to COVID-19 research, in order to honor those who have lost their lives and the heroes and the volunteers associated to the COVID-19 crisis. Committees *General Chairs* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Andreas Lanitis* *CYENS & Cyprus University of Technology, Cyprus* *Nicolai Petkov* *University of Groningen, Netherlands* *Program Chairs* *Nicolas Tsapatsoulis* *Cyprus University of Technology, Cyprus* *Andreas Panayides* *University of Cyprus, Cyprus* *Theo Theocharides* *KIOS & University of Cyprus, Cyprus* *Mario Vento* *University of Salerno, Italy * *LOC* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Constandinos Mavromoustakis* *IEEE Cyprus Section & University of Nicosia Research Foundation, Cyprus* *Alexis Polycarpou* *IET Cyprus* *Toumazis Toumazi* *Cyprus Computer Society* Important Dates *Special Sessions proposal submission* 05 May 2021 *Special Sessions acceptance notification* 10 May 2021 *Paper Submission* 05 May 2021 *Author notification* 15 June 2021 *Camera-ready paper due* 01 July 2021 *Early bird registration* 31 July 2021 Contact *For Academic Enquiries please contact:* *Prof. Constantinos S. Pattichis *pattichi at ucy.ac.cy *For Arrangements and Registration Information:* *Easy Conferences *info at easyconferences.eu *Organized and Sponsored by* [image: cid:image001.png at 01D6F3C1.F099B050] *Endorsed by* [image: cid:image004.jpg at 01D6D496.3800FCA0] *Co-Organizers & Co-Sponsors* [image: cid:image010.jpg at 01D6D496.3E127BF0] *Technical Co-Sponsors* [image: cid:image011.jpg at 01D6D496.3E127BF0] cyprusconferences.org/caip2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.jpg Type: image/jpeg Size: 5249 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image010.jpg Type: image/jpeg Size: 2687 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image005.jpg Type: image/jpeg Size: 33696 bytes Desc: not available URL: -------------- next part -------------- _______________________________________________ CAIP2021 mailing list CAIP2021 at cs.ucy.ac.cy https://listserv.cs.ucy.ac.cy/mailman/listinfo/caip2021 From michel.verleysen at uclouvain.be Wed Apr 21 02:22:32 2021 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Wed, 21 Apr 2021 06:22:32 +0000 Subject: Connectionists: ESANN 2021 2nd call for papers Message-ID: ESANN 2021 - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 6-7-8 October 2021 https://www.esann.org 2nd Call for papers The call for papers is available at https://www.esann.org. Deadline for submissions: May 10, 2021. 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: - Anomaly and change point detection in geometric and non vector data - Complex Data: Learning Trustworthily, Automatically, and with Guarantees - Federated Learning - Methods, Applications and Beyond - Deep learning for graphs - Interpretable Models in Machine Learning and Explainable Artificial Intelligence - Machine Learning for Measuring and Analyzing Online Social Communications - Machine learning and data mining for urban mobility intelligence ESANN 2021 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 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 that October 2021 will be the right time to organize a physical conference again, after the Covid-19 pandemic; current forecasts are optimistic for events organized after the summer 2021. Of course health and safety of the participants are our top priority; in the unfortunate event that the situation is not safe yet, the conference will be organized online on the same dates. We hope to receive your submission to ESANN 2021 and to see you in Bruges! ======================================================== 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 michal.rafal.zareba at gmail.com Wed Apr 21 10:30:00 2021 From: michal.rafal.zareba at gmail.com (=?UTF-8?B?TWljaGHFgiBaYXLEmWJh?=) Date: Wed, 21 Apr 2021 16:30:00 +0200 Subject: Connectionists: FENS Regional Meeting 2021 - August 25-27 - ONLINE Message-ID: *On behalf of my colleagues, I would like to invite you to participate in this year's FENS Regional Meeting (FRM), which takes place online on August 25-27, 2021. Abstracts can be submitted until May 10.* The FRM 2021 is organized jointly by the Polish Neuroscience Society (PNS) and the Lithuanian Neuroscience Association (LNA) under the auspices and with support from the Federation of the European Neuroscience Societies (FENS), and also with support from the International Brain Research Organization Pan-Europe Regional Committee (IBRO PERC). The FRM 2021 original city venue was Krakow, however, due to the COVID-19 pandemic, the Organizing Committee decided to hold the event on-line to ensure all attendees may meet safely. The conference will present the latest developments in neuroscience research and host panel discussions on topics ranging from directions for future development to diversity issues in the academia. The presidential and keynotes lecture of the meeting will be given by: - *Wolfram Schultz *(University of Cambridge, United Kingdom) - *Fiona Doetsch *(University of Basel, Switzerland) - *Virginijus ?ik?nys* (Vilnius University, Lithuania) - *Naomi Anne Fineberg* (University of Hertfordshire, United Kingdom) - *J?rgen Knoblich* (Institute of Molecular Biotechnology OAW, Vienna, Austria) - *Riita Hari* (Aalto University, Helsinki, Finnland) - *Arturas Petronis *(Centre for Addiction and Mental Health, Toronto, Canada) - *Amita Sehgal *(University of Pennsylvania, Philadelphia, USA) - *G?bor Nyiri *(Hungarian Academy of Sciences, Budapest, Hungary) More information regarding the conference can be found on the website. -------------- next part -------------- An HTML attachment was scrubbed... URL: From amulya at psu.edu Wed Apr 21 11:32:04 2021 From: amulya at psu.edu (Amulya Yadav) Date: Wed, 21 Apr 2021 11:32:04 -0400 Subject: Connectionists: Call for Papers: 3rd KDD Workshop on Data Science for Social Good (DSSG 2021) Message-ID: Dear all, We are organizing a workshop on Data Science for Social Good at KDD 2021. Please consider submitting your work to this venue. CFP below! *-----------------------------------------------------------------------------------* *Apologies for cross-posting!* *3rd International Virtual KDD Workshop on Data Science for Social Good (DSSG 2021)* *Website*: https://amulyayadav.github.io/DSSG-21/ *Submission Link*: https://easychair.org/my/conference?conf=dssg21 *Important Dates:* Paper Submission Deadline: May 20th, 2021 Notification of Acceptance/Rejection: June 10th, 2021 Workshop Date: August 14st, 2021 *Scope* Machine Learning and Data Science have revolutionized and entered multiple aspects of our everyday lives, yet there is a digital divide that is broadening every single day. The BigData revolution has hit the Western world (i.e., North America and Europe) much more significantly, as compared to developing countries in Africa, Asia and South America. As a result, most of the technologies that have been developed using ML and data science solve first-world problems faced by common people in the Western world. While products like Siri and Alexa bring a lot of value to people in the Western world, they bring little value to people in Sub-Saharan Africa, who struggle on a daily basis with much graver challenges, e.g., poor sanitation, poverty, hunger, infectious diseases, etc. As a result, it is urgent to refocus the attention of the SIGKDD community towards problems faced by these underserved populations in developing countries. Accordingly, there is a growing interest to ensure that current and future data science research is used in a responsible manner for the benefit of humanity in the developing world and among marginalized communities (i.e., for social good). To achieve this goal, a wide range of perspectives and contributions are needed, spanning the full spectrum from fundamental research to sustained deployments in the real-world. Note that problems in these domains are characterized by small data, uncertainties, etc., hence new fundamental research needs to be conducted by researchers in the SIGKDD community to solve these problems. To that end, this workshop will explore how data science research can contribute to solving challenging problems faced by current-day marginalized communities around the world, especially among developing countries. For example, what role can data science research play in promoting health, sustainable development and infrastructure security? How can data science initiatives be used to achieve consensus among a set of negotiating self-interested entities (e.g., finding resolutions to trade talks between countries)? To address such questions, this workshop will bring together researchers and practitioners across different strands of data science research and a wide range of important real- world application domains. The objective is to share the current state of research and practice, explore directions for future work, and create opportunities for collaboration. In addition, the workshop will place a special emphasis on highlighting data science approaches for tackling the COVID-19 pandemic (see preliminary agenda below). The organizers believe that data science research has an important role to play in providing unique insights about the pandemic and developing targeted responses; we encourage submissions from both data science researchers as well as epidemiologists, health policy researchers, and other domain experts who are interested in engaging with the SIGKDD community. A unique feature of our workshop is that we aim to engage and invite non-profit organizations which already do significant work on the upliftment of marginalized communities such as homeless youth in North America, poor smallholder farmers in Sub-Saharan Africa, etc. We aim to create a dialogue between data science researchers (who possess the tools required to develop data-driven solutions which can benefit marginalized communities) & non-profit organizations which can inform researchers about what are the real problems that need urgent attention, and what real-world constraints do data-driven solutions need to respect in order to have real impact on the ground. Our workshop?s target audience consists of: (i) data science and machine learning researchers who have used (or are currently using) their ML research to solve important real- world problems for society?s benefit in a measurable manner; (ii) non-profit organizations who wish to explore how data-driven solutions could help them improve their day-to-day operations which enables them to amplify their real-world impact; (iii) interdisciplinary researchers combining data science research with various disciplines (e.g., social science, psychology and criminology); and (iv) engineers and scientists from organizations who aim for social good, and look to build real world systems using data science techniques. *Topics of Interest* We are interested in a broad range of research topics, both foundational and applied. Topics of interest include, but are not limited to: - Applications of Learning and Optimization in Societally Beneficial Domains - ML Approaches for COVID-19 and Epidemics - Real-world applications of game theory for security - Data Science for environmental crime - Data Science for Environmental Sustainability - Data Science for Urban Planning - Computational Sustainability - Data Science for Education - Data Science for Public Health - Data Science for International Relations - Data Science for Democracy in the Developing World - Explainable Artificial Intelligence and Machine Learning for Social Good *Submission Details* Submission Types - Technical Papers: Full-length research papers of up to 8 pages (excluding references and appendices) detailing high quality work in progress or work that could potentially be published at a major conference in KDD format. - Short Papers: Position or short papers of up to 4 pages (excluding references and appendices) in KDD format that describe initial work or the release of privacy-preserving benchmarks and datasets on the topics of interest. All papers must be submitted in PDF format, using the KDD-21 author kit . Submissions should include the name(s), affiliations, and email addresses of all authors, i.e., submissions are not double-blind. Submissions will be refereed on the basis of technical quality, novelty, significance, and clarity. Each submission will be thoroughly reviewed by at least two program committee members. Submissions of papers rejected from KDD 2021 technical program are welcomed. Regards, Amulya Yadav PNC Career Development Assistant Professor Penn State University http://amulyayadav.com (On behalf of the DSSG21 Organizing Committee) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Thu Apr 22 02:11:31 2021 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Thu, 22 Apr 2021 06:11:31 +0000 Subject: Connectionists: [jobs] Assoc. Prof. in Machine Learning (permanent) in Robotics and Intelligent Systems, Univ. of Oslo, Norway Message-ID: <26657BB9-3A34-4B41-AE41-2D173BA85A88@ifi.uio.no> [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] Associate Professor in Machine Learning - three permanent positions in Department of Informatics, University of Oslo, Norway The position(s) can be affiliated to or interact with the Robotics and Intelligent Systems (ROBIN) group at the University of Oslo, Norway ? the highest rated university in Norway: http://www.mn.uio.no/ifi/english/research/groups/robin The Department of Informatics is looking for candidates who will strengthen our research and education within Machine Learning (ML) and associated application areas. Candidates with a background in artificial intelligence/machine learning related to robotics or embedded systems are encouraged to apply and propose to be affiliated with the ROBIN group. We work with a set of different methods within AI and ML, including deep learning, evolutionary algorithms, evolutionary robotics, generative design, and more. Please see our web page for more information about our research. Candidates will be evaluated with respect to three different profiles, distinct for each of the positions: 1. For one of the positions, we are looking for a candidate with a strong track record in analyzing aspects of machine learning methodology related to ethical considerations, like transparency, reliability, bias, privacy, fairness, sustainability, or others. 2. One position is expected to be offered to a candidate with a strong background from more foundational research within deep learning and neural approaches with relevance beyond specific application areas. 3. Finally, one of the positions will be associated with one of the following established application areas within the department: (i) artificial intelligence methods for robotics and intelligent systems, or (ii) bioinformatics. For applications targeting this profile it will be important to document relevant background in the respective area. The candidates must clearly state which of the three position profiles they are applying to, and if relevant (profile 3) also state the corresponding subject area(s) that they are interested in. For the first two positions, it is also possible to express relevance to the ROBIN research group. Qualifications: Applicants must have a degree equivalent to a Norwegian PhD in a relevant area for the position. Candidates must have a strong research background in machine learning, either with respect to foundational issues within ML and/or applications of ML. A promising publication record is required. Candidates must have international publications in acknowledged publication channels. The assessment of publications will emphasize originality, quality, and scope. Research output from the previous 5 years will be given weight. Candidates must have prior teaching experience within ML or associated application areas and have a commitment to engage in undergraduate and graduate education and in mentoring and advising master and doctoral students. Pedagogical qualifications and teaching and supervision experience at all levels will be an important factor in the evaluation process and should be well documented in a teaching portfolio. See the full announcement for more requirements. Pay grade (depending on qualifications and seniority): NOK 694 400 - 864 100 per year, approx.: ?68,700 - 85,500 / $80,700 - 100,400 Announcement: https://www.mn.uio.no/ifi/english/research/groups/robin/news/3-vacant-permanent-positions-in-machine-learning.html Closing date for applications: 6th June, 2021 For the requested "research position paper", please look at our ROBIN group web page https://www.mn.uio.no/ifi/english/research/groups/robin/ (including our project overview https://www.mn.uio.no/ifi/english/research/groups/robin/robin-intro-april-2021.pdf) and outline how your background and interests in machine learning can match with and contribute to the ROBIN group research and projects. Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no From luisgascosanchez at gmail.com Thu Apr 22 06:37:58 2021 From: luisgascosanchez at gmail.com (Luis Gasco Sanchez) Date: Thu, 22 Apr 2021 12:37:58 +0200 Subject: Connectionists: CFP MESINESP2 (BioASQ / CLEF2021 shared task) on semantic indexing of heterogenous health content: literature, clinical trials and patents Message-ID: *** CFP2 MESINESP2 track: Medical Semantic Indexing (BioASQ ? CLEF 2021) *** https://temu.bsc.es/mesinesp2/ MESINESP2 Awards by BSC-Plan TL [2,700?] Test sets and additional data are now available There is a pressing need for advanced multilingual semantic search strategies for health related content like literature, patents and clinical trials (cross-genre). The use of semantic search techniques in combination with structured vocabularies is critical for sophisticated searches or content analysis as needed by healthcare professionals, researchers, the pharmaceutical industry, patient groups and private citizens. Following the impact of past BioASQ tracks for benchmarking studies (e.g. BioBERT) and organization of other initiatives like BioCreative or IberLEF, we propose three semantic labelling subtracks using the widely used DeCS vocabulary (similar to MeSH terms): MESINESP-L ? Scientific Literature: for automatic labelling of medical literature abstracts in Spanish (including recent COVID-19 literature). MESINESP-T ? Clinical trials: for automatic labelling of clinical trials summaries. MESINESP-P ? Patents: for automatic labelling of health-related patents in Spanish to improve patent intelligence. Key information Web: https://temu.bsc.es/mesinesp2 Registration: http://clef2021-labs-registration.dei.unipd.it/ (BioASQ Task 3 - MESINESP) Data: https://doi.org/10.5281/zenodo.4707104 MESINESP2 is organized in close collaboration with widely used multilingual medical literature databases (BIREME/WHO, ISCIII/Spain), which expressed a direct need for advanced technologies to accelerate manual indexing efforts for the contents in Spanish (spoken globally by over 572 million people). They do face a challenge to keep up with the increasing number of published medical papers when using purely manual indexing. A large manually indexed collection of training documents will be provided. These documents have already been automatically annotated (> 1.5 million entity mentions) with medical entities such as diseases, medical procedures, drugs and symptoms to facilitate the use of complementary strategies like multi-label classification, multilingual transformers, graph matching, text similarity, advanced term matching or named entity recognition components. Participating systems will be directly useful for ongoing medical literature indexing efforts, and thus improve competitive intelligence/prior art searches, enable complex search queries needed for evidence-based medicine, clinical decision making, or elaboration of clinical practice guidelines and serve as base for future tasks on semantic indexing of medical records or content in other languages. Important dates - April 19: Updated Train, Validation and Test sets release - April 19: Additional datasets release (Medical entities present in documents) - April , 30: BioASQ9 Lab @CLEF 2021 Registration Deadline - May, 7: Start of the evaluation period - May, 17: End of the evaluation period - May,28 :Submission of Participant Papers at CLEF2021 - July, 2: Camera ready paper submission. - Sep 21-24: CLEF 2021 Conference Publications and BioASQ/CLEF2021 workshop Teams participating in MESINESP2 will be invited to contribute a systems description paper for the BioASQ (CLEF 2021) Working Notes proceedings, and a short presentation of their approach at the BioASQ 2021 workshop. Main Track organizers - Martin Krallinger, Barcelona Supercomputing Center (BSC), Spain. - Luis Gasc?, Barcelona Supercomputing Center (BSC), Spain. - Anastasios Nentidis, National Center for Scientific Research Demokritos, Greece. - Elena Primo-Pe?a, Biblioteca Nacional de Ciencias de Salud. Instituto de Salud Carlos III, Spain. - Cristina Bojo Canales, Biblioteca Nacional de Ciencias de la Salud. Instituto de Salud Carlos III, Spain. - George Paliouras, National Center for Scientific Research Demokritos, Greece. - Anastasia Krithara, National Center for Scientific Research Demokritos, Greece. - Renato Murasaki, BIREME ? Organizaci?n Panamericana de la Salud (WHO), Brasil. Scientific Committee - Tristan Naumann, Microsoft Research (USA) - Prof. Xavier Tannier, Sorbonne Universit? and LIMICS (France) - Lucy Lu Wang, Allen Institute for AI (AI2) (USA) - Prof. David Camacho, Applied Intelligence and Data Analysis Research Group, Universidad Polit?cnica de Madrid (Spain) - Prof. Oscar Corcho, Ontology Engineering Group, Universidad Polit?cnica de Madrid (Spain) - Parminder Batia, Amazon Health AI (USA) - Prof. Irena Spasic, School of Computer Science & Informatics, co-Director of the Data Innovation Research Institute, Cardiff University (UK) - Jose Luis Redondo Garc?a, Amazon Alexa, Amazon (UK) - Carlos Badenes-Olmedo, Ontology Engineering Group, Universidad Polit?cnica de Madrid (Spain) - Prof. Allan Hanbury, E-Commerce Research Unit in the Faculty of Informatics, TU Wien (Austria) - Prof. Alfonso Valencia, Barcelona Supercomputing Center (Spain) - Prof. Stefan J. Darmoni, Department of Biomedical Informatics, Rouen University Hospital (France) and LIMICS (France) - Rezarta Islamaj, National Center for Biotechnology Information (USA) - Prof. Rafael Berlanga Llavori, Universidad Jaume I (Spain) - Prof. Henning M?ller, University of Applied Sciences Western Switzerland ? Valais (Switzerland) - Prof. Gareth J.F. Jones, School of Computing at Dublin City University (Ireland) - Georg Rehm, Deutsches Forschungszentrum f?r K?nstliche Intelligenz (Germany) - Petr Knoth, Research Studios Austria Forschungsgesellschaft mbH (Austria) - Natalia Manola, CEO at OpenAIRE AMKE (Greece) - Prof. Jes?s Tramullas, Departamento de Ciencias de la Documentaci?n e Historia de la Ciencia, Universidad de Zaragoza (Spain) [image: Mailtrack] Remitente notificado con Mailtrack 22/04/21 12:37:52 -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Thu Apr 22 06:57:06 2021 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Thu, 22 Apr 2021 12:57:06 +0200 Subject: Connectionists: CFP- ImageCLEF Coral Annotation Challenge 2021: Test set released In-Reply-To: References: Message-ID: Website: https://www.imageclef.org/2021/coral *** CALL FOR PARTICIPATION *** *The 3rd Edition of the ImageCLEF Coral Annotation Challenge 2021* Data The increasing use of structure-from-motion photogrammetry for modelling large-scale environments from action cameras attached to drones has driven the next-generation of visualisation techniques that can be used in augmented and virtual reality headsets. It has also created a need to have such models labelled, with objects such as people, buildings, vehicles, terrain, etc. all essential for machine learning techniques to automatically identify as areas of interest and to label them appropriately. However, the complexity of the images makes impossible for human annotators to assess the contents of images on a large scale. Advances in automatically annotating images for complexity and benthic composition have been promising, and we are interested in automatically identify areas of interest and to label them appropriately for monitoring coral reefs. Coral reefs are in danger of being lost within the next 30 years, and with them the ecosystems they support. This catastrophe will not only see the extinction of many marine species, but also create a humanitarian crisis on a global scale for the billions of humans who rely on reef services. By monitoring the changes and composition of coral reefs we can help prioritise conservation efforts. *New for 2021:* in its 3rd edition, the training and test data will form the complete set of images required to form a 3D reconstruction of the environment. This allows the participants to explore novel probabilistic computer vision techniques based around image overlap and transposition of data points. Participants will be given instruction on the preparation of 3D reconstruction, the output files (.obj) and a visualisation of each model without labels (for example, https://skfb.ly/6SooQ). In addition, participants are encourage to use the publicly available NOAA NCEI data to train their approaches. *Challenge description* Participants will be require to annotate and localise coral reef images by labelling the images with types of benthic substrate together. Each image is provided with possible class types. *Data* The data for this task originates from a growing, large-scale collection of images taken from coral reefs around the world as part of a coral reef monitoring project with the Marine Technology Research Unit at the University of Essex. Substrates of the same type can have very different morphologies, color variation and patterns. Some of the images contain a white line (scientific measurement tape) that may occlude part of the entity. The quality of the images is variable, some are blurry, and some have poor color balance. This is representative of the Marine Technology Research Unit dataset and all images are useful for data analysis. The images contain annotations of the following 13 types of substrates: Hard Coral ? Branching, Hard Coral ? Submassive, Hard Coral ? Boulder, Hard Coral ? Encrusting, Hard Coral ? Table, Hard Coral ? Foliose, Hard Coral ? Mushroom, Soft Coral, Soft Coral ? Gorgonian, Sponge, Sponge ? Barrel, Fire Coral ? Millepora and Algae - Macro or Leaves. The test data contains images from four different locations: - same location as training set - similar location to training set - geographically similar to training set - geographically distinct from training set *Important dates* - *16.11.2020*: registration opens for all ImageCLEF tasks - *01.03.2021*: development data released - *22.04.2021*: test data release starts - *07.05.2021*: deadline for submitting the participants runs - *28.05.2021*: deadline for submission of working notes papers by the participants - *21-24.09.2021*: CLEF 2021 , Bucharest, Romania *Participant Registration* https://www.imageclef.org/2021#registration *Organizing Committee* - Jon Chamberlain ,University of Essex, UK - Thomas A. Oliver , NOAA/ US IOOS, USA - Hassan Moustahfid , NOAA/ US IOOS, USA - Antonio Campello ,Wellcome Trust, UK - Adrian Clark ,University of Essex, UK - Alba Garc?a Seco de Herrera ,University of Essex, UK For more details and updates, please visit the task website at: https://www.imageclef.org/2021/coral And join our mailing list: https://groups.google.com/d/forum/imageclefcoral -------------- next part -------------- An HTML attachment was scrubbed... URL: From SchockaertS1 at cardiff.ac.uk Thu Apr 22 06:53:50 2021 From: SchockaertS1 at cardiff.ac.uk (Steven Schockaert) Date: Thu, 22 Apr 2021 10:53:50 +0000 Subject: Connectionists: Postdoctoral position at Cardiff University Message-ID: Location: Cardiff, UK Deadline for applications: 11th May 2021 Start date: 1st August Duration: 36 months Keywords: Lexical semantics, commonsense reasoning, learning & reasoning Details about the post We are looking for a postdoctoral research associate to work on the EPSRC funded project ?Encyclopedic Lexical Representations for Natural Language Processing (ELEXIR)?. The aim of this project is to learn vector space embeddings that capture fine-grained knowledge about concepts. Different from existing approaches, these representations will explicitly represent the properties of, and relationships between concepts. Vectors in the proposed framework will thus intuitively play the role of facts, about which we can reason in a principled way. More details about this post can be found at: https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=30011&siteid=5460&PageType=JobDetails&jobid=1807387#jobDetails=1807387_5460 Background about the ELEXIR project The field of Natural Language Processing (NLP) has made unprecedented progress over the last decade, but the extent to which NLP systems ?understand? language is still remarkably limited. A key underlying problem is the need for a vast amount of world knowledge. In this project, we focus on conceptual knowledge, and more in particular on: (i) capturing what properties are associated with a given concept (e.g. lions are dangerous, boats can float); (ii) characterising how different concepts are related (e.g. brooms are used for cleaning, bees produce honey). Our proposed approach relies on the fact that Wikipedia contains a wealth of such knowledge. Unfortunately, however, important properties and relationships are often not explicitly mentioned in text, especially if they follow straightforwardly from other information for a human reader (e.g. if X is an animal that can fly then X probably has wings). Apart from learning to extract knowledge expressed in text, we thus also have to learn how to reason about conceptual knowledge. A central question is how conceptual knowledge should be represented and incorporated in language model architectures. Current NLP systems heavily rely on vector representations in which each concept is represented by a single vector. This approach has important theoretical limitations in terms of what knowledge can be captured, and it only allows for shallow forms of reasoning. In contrast, in symbolic AI, conceptual knowledge is typically represented using facts and rules. This enables powerful forms of reasoning, but symbolic representations are harder to learn and to use in neural networks. The solution we propose relies on a novel hybrid representation framework, which combines the main advantages of vector representations with those of symbolic methods. In particular, we will explicitly represent properties and relationships, as in symbolic frameworks, but these properties and relations will be encoded as vectors. Each concept will thus be associated with several property vectors, while pairs of related concepts will be associated with one or more relation vectors. Our vectors will thus intuitively play the same role that facts play in symbolic frameworks, with associated neural network models then playing the role of rules. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hava.siegelmann at gmail.com Thu Apr 22 09:01:23 2021 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Thu, 22 Apr 2021 09:01:23 -0400 Subject: Connectionists: Postdoc for the BINDS lab UMass Message-ID: The BINDS lab at the University of Massachusetts Amherst is excited to offer a postdoc position - in the area of lifelong learning and time sensitive neural networks, funding for the latter from DARPA. It is a great time to join us now as the group is growing and ties are being created with other top researchers. We are looking for a creative person that has great analytical and practical capabilities For the full call please click here https://careers.umass.edu/amherst/en-us/job/507883/postdoctoral-research-associate-binds-lab We will start reading applications on May 2nd, but will continue until position is filled. Please contact me directly with any question, Hava Siegelmann hava at umass.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From dxkeec at gmail.com Thu Apr 22 09:59:24 2021 From: dxkeec at gmail.com (Dhireesha Kudithipudi) Date: Thu, 22 Apr 2021 08:59:24 -0500 Subject: Connectionists: Open PhD position in Bio-Inspired Lifelong Learning Message-ID: Open PhD position in Bio-Inspired Lifelong Learning at the Neuromorphic AI Lab, University of Texas at San Antonio Preferred Start Date: 08/01/2021 (Flexible) We are seeking a Ph.D. student to join in an exciting new research project -- designing bio-inspired AI models for lifelong learning scenarios-- funded by multiple agencies. Specifically, the candidate is expected to study and develop algorithms with theoretical formulations. A successful candidate will be able to propose novel algorithmic approaches and provide strong mathematical proof for the former, towards solving challenges/addressing knowledge gaps in lifelong learning. The successful candidate will also be part of a rich and emerging AI community, within the newly established UTSA AI consortium (MATRIX). The MATRIX consortium engages with the private sector, academia, and the greater San Antonio community to advance the state of the art in human-aware AI. Qualifications and requirements: 1. Master's degree, or equivalent, in a discipline related to computer science, computer engineering, statistics, information processing, computational neuroscience, and/or machine learning. 2. Background and/or strong interest in developing skills in statistical analysis, mathematics for machine learning, quantitative methods, probability theory. 3. Knowledge in programming, preferably in Python or R or Java, understanding of data structures, data modeling ( SQL ) and software architectures. 4. Familiarity in deep learning frameworks and libraries is preferred(Tensorflow/TensorRT, Pytorch, Keras, or similar) and data analysis libraries ( Pandas, numpy, matplotlib, scikit-learn, seaborn, etc). 5. Willingness to learn and write robust code using new frameworks or programming languages based on the project requirements. 6. The successful candidate will be expected to design and perform independent research and publish papers in refereed top conferences and journals. 7. Candidates should keep abreast of the latest developments in the field and develop strong research aptitude. 8. Good written and verbal communication skills are essential. 9. A collaborative spirit and the ability to work as part of an interdisciplinary team are essential. How to Apply: The position will remain open until filled. Applications can be submitted via email to Dr. Kudithipudi (dk at utsa.edu). Applications should be submitted as a single PDF file: 1. Cover letter describing your motivation for applying to this position (1 paragraph) 2. CV and unofficial academic transcripts (with grades if applicable) Best Regards Dhireesha -------------- next part -------------- An HTML attachment was scrubbed... URL: From llong at simonsfoundation.org Thu Apr 22 17:58:11 2021 From: llong at simonsfoundation.org (Laura Long) Date: Thu, 22 Apr 2021 17:58:11 -0400 Subject: Connectionists: SCGB Global Postdoc/Student Meeting: Tuesday, April 27th by C. Ann Duan Message-ID: The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a Global virtual series to connect systems and computational neuroscientists across the world. We would love to see you at this month's Global meeting! Please see event details and Zoom link below. SCGB Global Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-146846340357 Tuesday, April 27th, 9am Eastern Time https://simonsfoundation.zoom.us/j/93633603374?pwd=LytrcVp6MWlPY1dkb2UvbUJWQ3pvQT09 Passcode: 989252 C. Ann Duan SCGB Postdoctoral Fellow, Chinese Academy of Sciences Incoming Group Leader, Sainsbury Wellcome Centre *Cortical and collicular contributions to decision making in rats and mice* A central goal of behavioral neuroscience is to expose general principles of neural computation that give rise to cognition. Until recently, cognitive functions were thought to mainly rely on cortical areas such as the frontal cortex, while ?old? subcortical areas, such as the midbrain superior colliculus (SC), have mostly been associated with sensorimotor processing. Based on these earlier work, we expected the SC to be passively inhibited while animals avoided unwanted reflexive actions. We were surprised to find that the SC played an active and pivotal role in suppressing context-inappropriate behaviors. Since then, my research has focused on understanding how the SC, in coordination with cortex, implements flexible decision making. My talk will cover work in two different decision-making tasks: flexible sensorimotor routing in freely-moving rats and motor planning in head-fixed mice. Using electrophysiology, optogenetics, pathway-specific two-photon calcium imaging, and computational modeling, we found that the SC is particularly important during the memory period in both tasks, when the context information or motor planning signals need to be maintained in the brain in the absence of sensory input and motor output. The participation of SC seems to increase as cognitive demand increases in both behaviors. Together, our experimental and computational work reveal the SC as a key node in the distributed cortico-subcortical network underlying flexible behaviors, and make surprising predictions for how decision making is implemented in brain circuits. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-146846340357 Please contact Laura Long at llong at simonsfoundation.org with any questions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From perusquia at ieee.org Thu Apr 22 22:07:28 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Fri, 23 Apr 2021 11:07:28 +0900 Subject: Connectionists: ACII2021 - Call for Doctoral Consortium Participation Message-ID: ACII2021 - Call for Doctoral Consortium Participation Affective Computing aims at the study and development of systems and devices that use emotion, in particular in human-computer and human-robot interaction. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. At the biennial gathering of the Association for the Advancement Of Affective Computing?s (AAAC) Affective Computing and Intelligent Interaction Conferenc*e* (ACII 2021), the Doctoral Consortium (DC) will serve as a forum for PhD students to share ideas about their research, developments, and applications in the area of affective computing. The goal is to provide PhD students with an opportunity to present their work to a group of mentors and peers from an international community, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in affective computing. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of affective computing to apply for participation in the ACII 2021 DC. Who should apply? Students from any PhD granting institution whose research falls within the area of affective computing are encouraged to apply. Whereas we encourage applications from students at any stage of doctoral training, the DC will most benefit students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research proposal, and will not be very close to completing their dissertation research. Submissions guidelines PhD students in an area related to affective computing are invited to submit the following materials: 1. Extended Abstract (4 pages + 1 page for references): A description of the PhD research plan and progress. The submissions should not be anonymous. In particular, it should cover: - The key research questions and motivation of the research, - Background and related work that informs the research, - A statement of hypotheses or a description of the scope of the technical problem, - The methodology to achieve the objectives and the proposed solution(s), - A description of the work done so far and a tentative plan for future work, - A statement of research contributions to date (if any) and expected contributions of the PhD work to affective computing, - Reference list. 2. CV: A curriculum vitae of the student. 3. Authorship and Statement from Advisor: Students are expected to be the sole authors on their submission. The application needs to be accompanied by a note from their PhD advisor confirming student status and endorsement of the submission. The note should clearly indicate the student?s progress in the PhD program (e.g., qualifiers passed; pre-proposal stage, and so on). The advisor can simply email the note to the DC chairs (see below for contact information). Submission topics, instructions, and proceedings Paper topics should be related to the conference topics, which are given in the general call for papers (see http://acii-conf.org/2021/). The Proceedings of the Doctoral Consortium will be published as part of the main Conference Proceedings. Papers should be submitted through the conference submission system. Review process The Doctoral Consortium submissions will be evaluated on a number of factors including: (1) the quality of the submission, (2) the expected benefits of the DC towards the student?s PhD research, and (3) the student?s contribution to the diversity of topics, backgrounds, and institutions, in order of importance. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of affective computing and its impact on the field and beyond. Finally, we hope to achieve a diversity of research topics, disciplinary backgrounds, methodological approaches, and home institutions in the ACII 2021 Doctoral Consortium cohort. Attendance All authors of accepted submissions are expected to register, attend the virtual conference and present their work at the Doctoral Consortium. They will also have to identify a mentor (from a list provided by the chairs) and schedule a one-to-one online meeting with the mentor during the conference. Information about this process will be provided in due course. Important Dates - Submission deadline: May 25, 2021 - Acceptance notifications: June 30, 2021 - Camera-ready deadline: July 26, 2021 Doctoral Consortium Contacts For questions and comments, please contact the Doctoral Consortium co-chairs: Grace Ngai and Tanaya Guha. Sincerely, Monica Perusqu?a-Hern?ndez, PhD PDEng http://monicaperusquia.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Fri Apr 23 04:14:59 2021 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Fri, 23 Apr 2021 10:14:59 +0200 Subject: Connectionists: Automatic Speaker Verification Spoofing and Countermeasures Challenge - ASVspoof 2021 Message-ID: [Apologies for cross-posting] Dear all, We are delighted to announce the release of the evaluation plan for the 4th edition of the Automatic Speaker Verification Spoofing and Countermeasures Challenge - ASVspoof 2021. The evaluation plan can be downloaded from the ASVspoof website at: https://www.asvspoof.org/asvspoof2021/asvspoof2021_evaluation_plan.pdf If you wish to participate in the ASVspoof 2021 challenge you are warmly invited to join the email distribution list by sending an email to: sympa at lists.asvspoof.org with 'subscribe ASVspoof2021' as the subject line. Further details can be found in the evaluation plan. With best regards, Md Sahidullah On behalf of the ASVspoof 2021 organising team -- Md Sahidullah website: *https://sites.google.com/site/iitkgpsahi/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From sias at sscc.fr Fri Apr 23 04:46:01 2021 From: sias at sscc.fr (Symposium IAS ) Date: Fri, 23 Apr 2021 10:46:01 +0200 Subject: Connectionists: [SIAS 2021] Symposium on Intelligent and Autonomous Systems References: <025601d71694$7a316f70$6e944e50$@sscc.fr> <292994533.339190.1616577676561@email.ionos.fr> <286750618.1055499.1617868238093@email.ionos.fr> Message-ID: <046101d7381d$202cc150$608643f0$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Virtual. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture ? IAS modeling (formal models, SysML, UML, etc) ? Correct-by-construction in IAS ? MBSE, MDA and DDA for IAS ? Virtualization and digital twins for IAS ? Blockchains and decentralized architecture for IAS ? IAS smart Networking ? Communication protocols for IAS ? Edges, Fog, and Cloud in IAS ? Distributed database for IAS ? Web services for IAS ? Social aspects and human interaction in IAS IAS Analysis ? Artificial intelligence, deep learning, and machine learning in IAS ? Model checking and theorem proving for IAS ? Abstraction and compositional verification for IAS ? Optimization and SAT solvers for IAS ? Dynamic and static analysis for IAS ? Statistical analysis for IAS ? Testing for IAS ? Smart decision making in IAS ? Fog and edge computing for IAS IAS Assurance ? Security specification, requirements, and management in IAS ? Security in distributed IAS ? Modeling, analysis and detection of attacks in IAS ? Data mining for cybersecurity in IAS ? Security protocols for IAS ? Safety policies for IAS ? Safety reinforcement models in IAS ? Safety standard analysis for IAS ? Resilience metrics and models for IAS ? Resilience strategies and plans for IAS ? Recovery systems for IAS resiliency ? Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases ? Applications and Software Platforms for IAS ? IoT and CPS for IAS ? Smart cities ? IAS for industrial and production CPS ? Autonomous robots and vehicles ? Human-Robot Interaction ? Smart logistics (transportation, supply chain, etc) Important Dates ? Submission Date: 25 April,2021 ? Notification to Authors: 25 May, 2021 ? Camera Ready Submission: 4 June, 2021 Submission System ? https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincentthunder2011 at gmail.com Sat Apr 24 04:10:42 2021 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Sat, 24 Apr 2021 16:10:42 +0800 Subject: Connectionists: CFP of IEEE GLOBECOM 2021 Selected Areas in Communication Symposium: Social Networks Track Message-ID: IEEE Global Communications Conference 7-11 December 2021 Madrid, Spain Selected Areas in Communication Symposium: Social Networks Track SCOPE AND MOTIVATION Recently, social network research has advanced rapidly with the prevalence of online social applications and mobile social communications systems. Moreover, the ongoing pandemic via contact social networks has caused tremendous human life and economic loss around the world, and infodemic is one of the major social impacts that make people difficult to discriminate trustworthy sources, from false and manipulative information sources. Therefore, researchers are increasingly interested in addressing a wide spectrum of challenges in social networks, such as developing social-aware algorithms for communications systems, identifying the topological common structures and information/influence flows, analyzing the social media and evolutions of social graphs, and exploiting location-based and contextual information embedded in mobile social networks to create innovative applications. Due to the interdisciplinary nature, social networks have also attracted intensive research interests across multiple disciplines, including artificial intelligence, blockchain, big data analytics, information security and privacy protection, psychology, and marketing. In light of the above crucial needs, Selected Areas in Communication Symposium in Social Networks will serve as a forum for researchers and technologists to discuss the state-of-the-art, present their contributions, and set future directions in social networks. TOPICS OF INTEREST - Infrastructure, platform, protocol design, and optimization for mobile social networks, mobile social clouds, and social Internet-of-Things with Artificial Intelligence - Social-aware network solutions and social network influence on (wireless) communications systems - Cross-layer design for social networks and the underlying communications and network platforms, and subsequent new design paradigm for future (wireless) communications - Network graph modeling, measurements, simulations, and experiments - Analysis of dynamics and control of belief, influence, and rumor propagations in the evolutions of social networks - Data mining, machine learning, information retrieval, signal processing, and artificial intelligence in social media and social contexts - Trusted networking, privacy and security, user behaviors and dynamics, and digital right management, for big data in social networks - Innovative social network applications and services to mobile Internet, multimedia networks, mobile-commerce, cyber-physical systems, and their potential social, economic, and cultural impacts - Multidisciplinary and interdisciplinary research on social networks IMPORTANT DATES - Deadline for paper submission: 30 April 2021 (Extended) - Date for notification: 25 July 2021 - Deadline for final paper submission: 1 September 2021 SUBMISSION INSTRUCTIONS All papers for technical symposia should be submitted via EDAS through the following link: https://edas.info/newPaper.php?c=27498&track=102700 -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Fri Apr 23 22:59:00 2021 From: suashdeb at gmail.com (Suash Deb) Date: Sat, 24 Apr 2021 08:29:00 +0530 Subject: Connectionists: Announcement of ISMSI 2022 (Seoul, Korea) Message-ID: Dear esteemed colleagues, I am pleased to announce the 2022 editions of ISMSI, an annual international conference of IICCI www.iicci.in For more info, pls. visit http://ismsi.org/index.html Leaflet of the same is attached too for your disseminating the same within your networks of peers & doctoral students. Thanks & regards, Suash Deb General Chair, ISMSI 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Leaflet -ISMSI2022.pdf Type: application/pdf Size: 408737 bytes Desc: not available URL: From alamer_2005 at yahoo.com Sat Apr 24 13:01:44 2021 From: alamer_2005 at yahoo.com (Ali Ismail Awad) Date: Sat, 24 Apr 2021 17:01:44 +0000 (UTC) Subject: Connectionists: CFP: Workshop on Cyber-Physical Systems Strategic and Technical Security (CPS-STS) In-Reply-To: <397700630.715602.1619283594287@mail.yahoo.com> References: <482740164.732754.1619283375750.ref@mail.yahoo.com> <482740164.732754.1619283375750@mail.yahoo.com> <2084848013.718700.1619283418445@mail.yahoo.com> <553781241.732002.1619283469028@mail.yahoo.com> <141257842.461006.1619283513446@mail.yahoo.com> <397700630.715602.1619283594287@mail.yahoo.com> Message-ID: <1606907088.733729.1619283704323@mail.yahoo.com> Call for Papers ========================================= Cyber-Physical Systems Strategic and Technical Security (CPS-STS)?Workshop to be held at EAI SecureComm 2021 CPS-STS ? EAI SecureComm 2021 ==Scope== Internet-of-Things (IoT) is an emerging paradigm that plays an influential role in the development of Cyber-Physical Systems (CPSs). The CPS concept is currently used by many application domains like Industry 4.0, eHealth, smart homes and cities, transportation systems and critical infrastructures, robotics and drones, and autonomous driving. On one hand, CPSs have brought new capabilities that are used to improve the quality of life, increase the efficiency of the provided services, and enhance the manufacturing process. On the other hand, these systems enable opening and connectivity to the Internet, which generates new physical and cybersecurity vulnerabilities concerning devices, data, and networks. Unaddressed security challenges may lead to severe consequences and even cause life-threatening situations. The Cyber-Physical Systems Strategic and Technical Security (CPS-STS) Workshop aims to span both strategic and technical security perspectives and cover current security challenges in the CPSs and the cutting-edge security perimeters. The workshop earns its unique identity from assembling both technical and tactical (strategic) security aspects in a single place. The workshop will bring together researchers from academia, industry, security practitioners, and individuals who are working on relevant research areas to share their latest challenges, accomplishments, future vision, and research findings with cybersecurity and CPSs research communities. Topics Topics of interest include but are not limited to: AI applications in CPSs and IoT security Blockchain techniques for CPSs and IoT security Steganography and watermarking techniques for CPSs Cyber-attacks detection and prevention for IoT networks Intrusion detection and prevention systems for CPSs and IoT Ethics and legal considerations in CPSs security Secure data management approaches Risk identification, assessment, and mitigation Awareness and training approaches Response and recovery strategies ==Publication== Accepted and presented technical papers will be submitted for publication by Springer and made available through SpringerLink Digital Library. Workshop Papers will be published as a part of the (EAI SecureComm 2021) Conference Proceedings. Proceedings will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI?s own EU Digital Library (EUDL). ==Submission== We invite workshop participation through contributions that respond to one or more of the mentioned research questions in 6-11 pages (short papers). Regular papers (12-15+ pages) are also welcome, and such submissions can expectedly be less than 18 pages. Submissions less than 6 pages, however, are discouraged as there is not enough space for appropriate technical content presentation. Papers should be submitted through EAI ?Confy+? system, and have to comply with the Springer format (see Author?s kit section). ==Workshop Chairs== Ali Ismail Awad, Ph.D., Lule? University of Technology, Sweden Charalambos Konstantinou, Ph.D., King Abdullah University of Science and Technology (KAUST) Mohammed M. Alani, Ph.D., Seneca College, Toronto, Canada | | | | | | | | | | | CPS-STS ? EAI SecureComm 2021 | | | -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Fri Apr 23 09:26:30 2021 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Fri, 23 Apr 2021 15:26:30 +0200 Subject: Connectionists: =?utf-8?q?CfP_-_Special_track_on_=E2=80=9DFITS_?= =?utf-8?q?=E2=80=93_Future_Intelligent_Transport_Solutions=E2=80=9D_at_ID?= =?utf-8?q?C_2021?= Message-ID: <25c06435-a1a7-93a7-4a87-42f6a7241e91@unimore.it> IDC 2021 The 14th International Symposium on? Intelligent Distributing Computing? (IDC 2021) 16-18 September 2021, Scilla (Reggio Calabria), Italy http://idc2021.unirc.it Special track on ?FITS ? Future Intelligent Transport Solutions? http://www.idc2021.unirc.it/stFITS.html Track Description: Intelligent Transportation Systems (ITSs) may be defined as a set of procedures, systems and technologies that allow optimizing the transport systems for both people and goods. Generally, they are intended to provide innovative services for different transport modes and traffic management issues as well as information to users for improving their travel experience and allowing them a better use of the transport networks. ITSs are a combination of Information and Communication Technology (ICT) and automation with Transport Engineering methods and models and they cover infrastructure, vehicles and users, traffic and mobility management, as well as interfaces among several transport modes. In the last years, efforts in ITS researches have been mainly addressed to facilitate the development of automated/autonomous transport vehicles (CAV), provide tools and methods for transport service integration (MaaS) and explore vehicle-sharing (VS) topics. Connected Automated Vehicles (CAVs) are vehicles capable of detecting its environment and moving safely with little or no human input. In principle, such vehicles have the potential to change dramatically the way people travel and make road transport safer and smoother. Although CAVs are still prototypes, many researches have been conducted in this field, covering both technological and transport management issues. In the Mobility as a Service (MaaS) perspective, intermodal transport processes are particularly relevant due to the high number of involved players, which requires constant and timely interactions and information exchange to achieve transport mode integration. It may integrate both vehicle-sharing services and transit systems, provide travel choices to users also in the light of sustainable mobility and facilitate cooperation among transport operators, which at the end could produce more efficient transport services. Vehicle sharing (VS) is an urban mobility service that allows users to reserve a vehicle (e.g., car, bike) and rent it for a short period by paying for its use. This service is planned within sustainable mobility policies, to facilitate the transition from vehicle ownership to shared use, in order to reduce the need for private vehicle without reducing the flexibility of their own mobility exigencies. Vehicles are then considered services rather than consumer goods In the above perspectives, models, approaches, architectures, systems and methods for ITS topics are of particular interest for solving both computational and communication problems and management and planning transport issues. The topics, which need to be addressed from the ITS perspective, include, but are not limited to: ????????? Blockchain for ITS ????????? CAV security issues ????????? Data management ????????? Informed transport choices ????????? ITS potentialities for remote and rural areas ????????? Mobile data for prediction and modelling ????????? Mobile Edge ????????? Modelling user behaviour in ITS contexts ????????? Pedestrian detection and protection in transport automated environments ????????? Safety and security ????????? Service integration ????????? Shared mobility ????????? System Interoperability ????????? The role of ITS in addressing and achieving Sustainable Development Goals ????????? Transport management ????????? Trust and reputation in Vehicle-Shared systems ????????? Understanding user needs and expectations of CAVs ????????? User acceptance of CAVs ????????? V2V ????????? V2X Co-Chairs: Maria Nadia Postorino?????? ??? University of Bologna, Italy Giacomo Cabr?????????????????? ??? University of Modena e Reggio Emilia, Italy Antoine Berthet????????????????? ??? CentraleSup?lec, Paris-Saclay University, France Important Dates June 6th, 2021??????? Paper submission June 30th, 2021????? Notification of acceptance July 11th, 2021?????? Final paper submission September 16th-18th, 2021?????????? Symposium dates Submission of Papers All accepted papers will be included in the Symposium Proceedings, which will be published by Springer. Submissions and reviews are automatically handled by EasyChair. Please submit your paper at: https://easychair.org/conferences/?conf=idc2021 Please, during the submission process specify this Special Track as topic FITS ? Future Intelligent Transport Solutions -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Rector's Delegate for Teaching | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From scienceeventsfb at gmail.com Sun Apr 25 03:02:14 2021 From: scienceeventsfb at gmail.com (Felix Ball) Date: Sun, 25 Apr 2021 09:02:14 +0200 Subject: Connectionists: Last call: 4th Modelling Symposium on Deep Neural Networks, register till May, 1st In-Reply-To: References: Message-ID: Please forward this mail to anyone who might be interested in attending the workshop. ----- Dear fellow scientists and modellers, The 4th Modelling Symposium will take place in July, 2021 (26.07.2021 - 30.07.2021). Due to the ongoing pandemic it will be an online seminar (using Zoom). The symposium will provide you with an broad overview and introduction into Deep Neural Networks (DNNs) covering a wide range of topics, including basic introductions into DNNs, common building blocks, design patterns and architectures, best practices, optimization, applications etc. For more details and registration, please visit my website: https://felix-ball.jimdofree.com/workshops/ Summary/ General information: ? The Symposium takes place in July (26.07.2021 - 30.07.2021, 4-day Workshop) in Magdeburg, Germany. ? The registration/pre-registration deadline is May, 1st (2021, CET). ? The costs of the workshop are 0 ? (NWG member), 150 ? (non-NWG member, academia) and 300 ? (non-NWG member, outside academia). ? There are possibilities to present your research/research idea (poster) and discuss your project ideas/data with our tutor. Looking forward to see you online, Felix Ball -------------- next part -------------- An HTML attachment was scrubbed... URL: From sias at sscc.fr Sun Apr 25 09:32:31 2021 From: sias at sscc.fr (Symposium IAS ) Date: Sun, 25 Apr 2021 15:32:31 +0200 Subject: Connectionists: [SIAS 2021, Updated deadline] Symposium on Intelligent and Autonomous Systems Message-ID: <094001d739d7$85541130$8ffc3390$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Virtual. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture . IAS modeling (formal models, SysML, UML, etc) . Correct-by-construction in IAS . MBSE, MDA and DDA for IAS . Virtualization and digital twins for IAS . Blockchains and decentralized architecture for IAS . IAS smart Networking . Communication protocols for IAS . Edges, Fog, and Cloud in IAS . Distributed database for IAS . Web services for IAS . Social aspects and human interaction in IAS IAS Analysis . Artificial intelligence, deep learning, and machine learning in IAS . Model checking and theorem proving for IAS . Abstraction and compositional verification for IAS . Optimization and SAT solvers for IAS . Dynamic and static analysis for IAS . Statistical analysis for IAS . Testing for IAS . Smart decision making in IAS . Fog and edge computing for IAS IAS Assurance . Security specification, requirements, and management in IAS . Security in distributed IAS . Modeling, analysis and detection of attacks in IAS . Data mining for cybersecurity in IAS . Security protocols for IAS . Safety policies for IAS . Safety reinforcement models in IAS . Safety standard analysis for IAS . Resilience metrics and models for IAS . Resilience strategies and plans for IAS . Recovery systems for IAS resiliency . Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases . Applications and Software Platforms for IAS . IoT and CPS for IAS . Smart cities . IAS for industrial and production CPS . Autonomous robots and vehicles . Human-Robot Interaction . Smart logistics (transportation, supply chain, etc) Important Dates . Submission Date: 30 April,2021 . Notification to Authors: 25 May, 2021 . Camera Ready Submission: 4 June, 2021 Submission System . https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.panzeri at gmail.com Sun Apr 25 12:31:47 2021 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Sun, 25 Apr 2021 18:31:47 +0200 Subject: Connectionists: Fully funded PhD Position Panzeri Lab- Computational approaches to study the neural code Message-ID: *Fully funded PhD Position Panzeri Lab - Computational approaches to study the neural code* I am seeking candidates for a PhD position fully funded (including a full stipend) for 4 years in my laboratory. The PhD project can focus on any of the research topics about neural information processing that are of interest to both the candidate and my lab, including: developing mathematical analysis methods and neural network models for studying large scale neural population coding during cognitive tasks, for studying the neural bases of sensory perception and decision making, for linking functional to anatomical connectivity with cellular resolution at the neural population level, and for determining the best theoretical framework to combine recording of neural activity (calcium imaging, electrophysiology, EEG) and intervention on it (optogenetics, TMS). My computational neuroscience lab has developed long-term collaboration with many experimental laboratories including Christopher Harvey (Harvard Medical School), Tobias Donner (UKE), Tommaso Fellin (IIT), Mathew Diamond (SISSA), Alex Thiele (Newcastle), Cristina Becchio (IIT), Alessandro Gozzi (IIT), Mike Lombardo (IIT) and others. The PhD project will likely involve collaborations with one or more experimental lab. The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. The deadline for the formal application is set to *May 21th 2021*, but quite a bit of paperwork is needed. Thus, interested candidates are invited to contact me informally by email (*stefano.panzeri at gmail.com *) *as soon as possible,* by attaching their CV and briefly explaining their interest in this position, to initiate discussion about potential PhD projects of interest and to discuss the details of the formal application process. For recent representative publications please see: Runyan, C.A., Piasini, E., Panzeri, S., and Harvey, C.D. (2017). Distinct timescales of population coding across cortex. *Nature* 548, 92-96. Panzeri S., Harvey, C.D. Piasini, E., Latham, P.E. , Fellin, T. (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 G. Pica, E. Piasini, H. Safaai, C.A. Runyan, M.E. Diamond, T. Fellin, C. Kayser, C.D. Harvey, S. Panzeri, (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems* (NIPS) 30, 2017, available online H. Safaai, A. Onken, C.D. Harvey, S. Panzeri (2018) Information estimation using nonparametric copulas. *Phys. Rev. E* 98, 053302 E. Chong, M. Moroni, S. Shoham, S. Panzeri, D. Rinberg (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. S. Pashkovski, G. Iurilli, D. Brann, D. Chicharro, K. Drummey, K. Franks, S. Panzeri, S.R. Datta (2020). Structure and flexibility in cortical representations of odour space. *Nature*: 583: 253-258 doi: https://doi.org/10.1038/s41586-020-2451-1 J-F Patri, A. Cavallo, K. Pullar, M. Soriano, M. Valente, A. Koul, A. Avenanti, S. Panzeri*, C. Becchio* (2020) Transient disruption of the inferior parietal lobule impairs the ability to attribute intention to action. *Current Biology* 30: 4594-4605 https://doi.org/10.1016/j.cub.2020.08.104 S. Trakoshis, P. Mart?nez-Ca?ada, ? A. Gozzi, S. Panzeri, and M.V. Lombardo (2020) Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women. eLIFE 9: e55684. doi.org/10.7554/eLife.55684 D. Ferro, J. van Kempen, M. Boyd, S. Panzeri*, A. Thiele* (2021) Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention. *PNAS* 118 (12), e2022097118, doi.org/10.1073/pnas.2022097118 Valente, A., Pica, G., Bondanelli, G., Moroni, M., Runyan, C.A., Morcos, A., Harvey, C.D., and Panzeri, S. (2021). Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, in press, early preprint available at: https://t.co/QJ3aHlTFad Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Sun Apr 25 06:20:27 2021 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Sun, 25 Apr 2021 12:20:27 +0200 Subject: Connectionists: [CfP] The 5th International Workshop on Recent Advances in Biometrics and its Applications | 2021 44th Int. Conference on Telecommunications and Signal Processing (TSP) | IEEE R8| IEEE In-Reply-To: References: Message-ID: [Apologies if you got multiple copies of this invitation] --------------------------------------------------------------------------------------- *The 5th International Workshop on Recent Advances in Biometrics and its Applications * within the framework of the 2021 44th International Conference on Telecommunications and Signal Processing (TSP) July 26-28, 2021, Virtual Conference https://tsp.vutbr.cz/?page_id=4741#WS1-21 ---------------------------------------------------------------------------------------- Biometric recognition has become a burgeoning research area due to the industrial and government needs for recognition, security and privacy concerns. It has also become center of focus for many authentication and identification applications in the civil and forensic fields. Within the framework of the 2021 44th International Conference on Telecommunications and Signal Processing (TSP) held during July 26-28, 2021, online (Virtual Event), we invite you to the 5th International Workshop on Recent Advances in Biometrics and its Applications. The goal of this workshop is to present and discuss the recent fundamental and applied research works, providing novel solutions to challenging problems in biometrics. It is an opportunity to bring researchers and experts together to discuss the current and future state of biometrics and possible areas of further cooperation. Topics of interest include, but are not limited to, the following: - Biometrics based authentication and identification - Physiological and behavioral biometrics - Biometric feature extraction and matching - Signal, image and video processing in biometrics - Machine learning in biometrics - Artificial intelligence in biometrics - Fusion techniques in biometrics - Soft biometrics - Multimodal biometrics - Biometric security and privacy - Big data challenges in biometrics - Related applications --------------------------- Important Dates --------------------------- Paper submission deadline: *May 5, 2021* Notification of acceptance: June 15, 2021 Final paper submission: June 30, 2021 Conference/workshop: July 26-28, 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Mon Apr 26 03:57:57 2021 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 26 Apr 2021 09:57:57 +0200 Subject: Connectionists: CFP: LOD 2021 - Special Session on Data Science for Sustainable Cities - Deadline April 29 Message-ID: [Apologies if you receive multiple copies of this announcement.] *********************************************************************************************************** Special Session on Data Science for Sustainable Cities @ 7th International Online & Onsite Conference on Machine Learning, Optimization & Data Science (LOD 2021) October 5-8, 2021 Grasmere, Lake District, England - UK https://lod2021.icas.cc/special-sessions/ Conference post-proceedings: Springer-Nature Lecture Notes in Computer Science (LNCS) A selection of the best papers will be invited to submit an extended version for publication on Frontiers in Sustainable Cities - Data Analysis and Data-Driven Modeling for Smart Cities https://www.frontiersin.org/research-topics/17634/data-analysis-and-data-driven-modeling-for-smart-cities *********************************************************************************************************** We invite submissions of papers, abstracts, posters, talks and demos on all topics related to the special session. ** Important Dates ** * Paper Submission Deadline: **Thursday April 29, 2021** (Anywhere on Earth) * Abstract/Poster/Demo Submission Deadline: **Sunday May 9, 2021** (Anywhere on Earth) * Reviews Released to Authors: by Tuesday June 15, 2021 * Rebuttal Due: by Tuesday June 22, 2021 * Decision Notification to Authors: by Wednesday June 30, 2021 * Camera Ready Submission Deadline: by Saturday July 10, 2021 ** Aims and Scope ** The amount of data generated nowadays by society, city infrastructures, and digital technologies around us is astonishing. The analysis, modeling and knowledge extraction of/from these data is a key asset for understanding urban environments and improving the efficiency of urban mobility, air quality and other forms of sustainability. This special session provides a platform to share high-quality research ideas related to data science methods and technologies for urban environments, a topic of crucial importance for many Sustainable Development Goals (i.e., SDG 7 on Sustainable Energy and SDG 11 on Sustainable Cities and Communities). Another important goal is to establish a meeting point for researchers in academia and industry who develop methodologies and technologies for data science, machine learning and artificial intelligence with specific applications in smart and sustainable cities. ** Topics ** - Data acquisition and data analysis in sustainable cities - Data-driven predictive modeling for urban and built environments - Time series analysis and forecasting for urban environments - Anomaly detection for multivariate sensor data - Robust machine learning and model verification - ICT platforms for collecting, visualizing and analyzing data in urban environments - Data analysis for mobility and transportation - Data analysis for air quality monitoring - Data analysis for heating management - Data analysis for smart buildings and smart grids - Model explainability and interpretability in urban applications - Predictive modeling for district heating networks - Predictive modeling for energy-efficient cities - Innovative sensing platforms (e.g., mobile sensors) for data gathering - Data gathering and management for citizen science in urban environments - Data security, privacy and blockchain - Analytics for municipalities and urban stakeholders - Cloud and big data platforms - Smart hospitals and healthcare for sustainable cities - Data-driven modeling for urban complex systems - Data analytics for emergency management - Urban Analytics - Information diffusion and social networks for sustainable cities - Epidemic data analysis in urban environments - City monitoring and Urban planning - Senseable cities - Analytics for smart growth and effective infrastructure ** Post-proceedings of selected and revised papers ** Conference post-proceedings: Springer-Nature Lecture Notes in Computer Science (LNCS) ** Selection of best papers **A selection of the best papers accepted to the special session will be invited to submit an extended version for publication in Frontiers in Sustainable Cities Research Topic: Data Analysis and Data-Driven Modeling for Smart Cities https://www.frontiersin.org/research-topics/17634/data-analysis-and-data-driven-modeling-for-smart-cities ** Paper submission and format ** All papers must be submitted using EasyChair. Any questions regarding the submission process can be sent to conference organizers: lod at icas.cc Please prepare your paper in English using the Springer Nature - Lecture Notes in Computer Science (LNCS) template, available on the conference website. Papers must be submitted in PDF. Types of Submission: - long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); - short paper: an extended abstract of novel work (max. 4 pages); - work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference; - abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference. Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments. Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact. It is also possible to present the talk virtually (Zoom). ** Special session organizers ** Alberto Castellini (Universita' di Verona, Italy) Alessandro Farinelli (Universita' di Verona, Italy) Giuseppe Nicosia (Universita' di Catania, Italy) Varun Ojha (University of Reading, United Kingdom) https://easychair.org/conferences/?conf=lod2021 https://lod2021.icas.cc lod at icas.cc -------------- next part -------------- An HTML attachment was scrubbed... URL: From davidjrohde at gmail.com Mon Apr 26 05:19:13 2021 From: davidjrohde at gmail.com (david rohde) Date: Mon, 26 Apr 2021 11:19:13 +0200 Subject: Connectionists: CFP: (KDD 2021 Workshop) Bayesian Causal Inference for Real World Interactive Systems Message-ID: Call For Papers BCIRWIS 2021: Bayesian causal inference for real world interactive systems - (KDD 2021 Workshop) https://bcirwis2021.github.io/cfp.html Increasingly we use machine learning to build interactive systems that learn from past actions and the reward obtained. Theory suggests several possible approaches, such as contextual bandits, reinforcement learning, the do-calculus, or plain old Bayesian decision theory. What are the most theoretically appropriate and practical approaches to doing causal inference for interactive systems? We are particularly interested in case studies of applying machine learning methods to interactive systems that did or did not use Bayesian or likelihood based methods, with a discussion about why this choice was made in terms of practical or theoretical arguments. We also welcome submissions in the following areas: Offline evaluation of recommender and interactive systems. Comparison of Bayesian, off-policy and other heuristic approaches for offline metrics. Probabilistic approaches applied to contextual bandits and reinforcement learning approaches. Probabilistic approaches to incrementality and attribution. Non-Bayesian approaches and trade-offs with Bayesian/Likelihood approaches. Bayesian methods in a production environment. Papers should be a three (3) page extended abstract, excluding references and appendices, and will be selected for contributed talks or for posters. Papers should be in PDF format and use the anonymized ACM Proceedings Template. Please submit your papers to the CMT web site. If the research has previously appeared in a journal, workshop, or conference (including KDD 2021), the workshop submission should extend that previous work. Parallel submissions (such as to other conferences) are permitted. Paper Submission Deadline: May 20th, 2021, 11:59 PM Anywhere on Earth Paper Notification: June 10th, 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ns779 at cam.ac.uk Mon Apr 26 04:43:09 2021 From: ns779 at cam.ac.uk (Nikola Simidjievski) Date: Mon, 26 Apr 2021 09:43:09 +0100 Subject: Connectionists: 2nd CfP: International Workshop on AI for Spacecraft Longevity @ IJCAI 2021 Message-ID: Dear colleagues, We are pleased to invite you to submit your work at the First International Workshop on AI for Spacecraft Longevity to be held in conjunction with IJCAI 2021 (tentative date 21-23 August 2021). The half-day workshop will be an excellent forum for presenting recent AI applications, exchanging ideas and discussing potential challenges on various topics pertaining to spacecraft longevity and endurance. It will also include two invited talks by esteemed experts, working on topics at the intersection of AI and spacecraft operations. We welcome original high-quality submissions that describe innovative research relevant (but not limited) to the following topic areas: - Data and knowledge extraction, representation, management and reasoning - Supervised and unsupervised (deep) learning methods for telemetry data - Data mining and analysis of structured and streaming telemetry data - Outlier/Anomaly/Fault detection and prognostics - Architectures for embedded artificial intelligence - Concept and contextual learning from spacecraft housekeeping data - Reinforcement learning for efficient exploration of new environments - Cloud and edge computing in space - Fault-Tolerant Space Processing, Memory, and Storage - Fault and power management approaches - Distributed and collaborative mission planning - Human-machine interactions - Intelligent decision support - Learning to plan, planning to learn - With potential applications in: - Operations-enabling technology in ground and flight systems - Mission planning and management - Spaceflight operations - Autonomous spacecraft operations - Human-centric and explainable AI for operator empowerment The submission deadline for the workshop is set to *May 9th, 2021*. The submitted papers should be long up to* 3 pages conten*t (+ references). The notification of acceptance is set to May 24th, 2021. Additional workshop details are available at https://ai4spacecraft.github.io/ (the exact date of the workshop will be announced by the IJCAI 2021 organizing committee). We hope that you will respond positively to our invitation and submit your work for consideration. We would also like to invite you to share the call for papers in your network of collaborators. With best regards, Nikola Simidjievski, University of Cambridge, UK Dragi Kocev, Jozef Stefan Institute, Slovenia Luke Lucas, ESOC, ESA, Germany Ljupco Todorovski, University of Ljubljana, Slovenia ======================= AI4Spacecraft Longevity Workshop chairs -- *Dr. Nikola Simidjievski* *Department of Computer Science and Technology* *University of Cambridge* -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Mon Apr 26 06:10:03 2021 From: m.plumbley at surrey.ac.uk (Mark Plumbley) Date: Mon, 26 Apr 2021 10:10:03 +0000 Subject: Connectionists: [Jobs] Four research posts at CVSSP, University of Surrey (deadline 30 April) Message-ID: Dear Connectionists, Please forward to interested candidates (deadline 30 April 2021). Apologies for cross-posting. Best wishes, Mark Plumbley --- Join a new research partnership with the BBC at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey ai4me.surrey.ac.uk Four research posts available in Audio-Visual AI, Computer Vision and Audio: Research Fellow B https://jobs.surrey.ac.uk/Vacancy.aspx?ref=015321 Research Fellow A https://jobs.surrey.ac.uk/vacancy.aspx?ref=015121 2x Research Software Engineer/Research Assistant https://jobs.surrey.ac.uk/vacancy.aspx?ref=015621 Closing date for applications: 30th April 2021 Exciting opportunity for outstanding researchers in Computer Vision, Audio and Audio-Visual AI to join CVSSP as part of a major new five-year research partnership with the BBC to realise Future Personalised Media Experiences. The goal of the research partnership is to realise future personalised content creation and delivery at scale for the public at home or on the move. CVSSP research will address the key challenges for personalised content creation and rendering by advancing computer vision and audio-visual AI to transform captured 2D video to object-based media. Research will advance automatic online understanding, reconstruction and neural rendering of complex dynamic real-world scenes and events. This will enable a new generation of personalised media content which adapts to user requirements and interests. The new partnership with the BBC and creative industry partners will position the UK to lead future personalised media experiences. The Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey is ranked first in the UK for computer vision. The centre leads ground-breaking research in audio-visual AI and machine perception for the benefit of people and society through technological innovations in healthcare, security, entertainment, robotics and communications. Over the past two decades CVSSP has pioneered advances in 3D and 4D computer vision, spatial audio and audio-visual AI which have enabled award winning technologies for content production in TV, film, games and immersive entertainment. BBC R&D (bbc.co.uk/rd) has a worldwide reputation for developments in media technology going back over 90 years and has worked closely with CVSSP for over 20 years. It has pioneered the development of object-based media, working closely with programme-makers and technology teams across the BBC. Recent work has included object-based audio delivery across multiple synchronised devices for sports and drama, and AI for recognising wildlife for natural history. This is an opportunity for outstanding researchers to join a world-renowned research centre at the start of a major new five-year research partnership. Research Fellow B The Research Fellow B will be an experienced researcher with an excellent track-record of publication in leading academic forums and post-doctoral research leadership. The successful candidate will take an active role in leading the research programme, contributing novel machine learning approaches to real-world dynamic scene understanding and reconstruction from video, and co-supervision of post-doctoral and PhD researchers. Research Fellow A The Research Fellow A will hold a PhD in computer vision, audio and/or audio-visual AI with a track-record of publication in leading academic forums. The successful candidate will contribute novel machine learning approaches advancing audio-visual AI to transform video of real-world scenes to object-based representation and neural rendering. The post-holder will collaborate with the team and project partners to realise personalised media experiences. 2x Research Software Engineer/Research Assistant The Research Software Engineer/Research Assistant will have experience of research and software development in computer vision, audio and machine learning. The post holder will support the research programme, contributing to research and technologies which enable the transformation of video to audio-visual objects, production of personalised media experiences and object-based audio-visual rendering. All posts are at the core of a research team working together with the BBC, University and industry partners to realise personalised object-based media experiences at scale for offline content and live events. These posts will enable individuals to advance knowledge in computer vision, audio and machine learning and raise their own academic and research profile by joining Europe's largest research centre in this field. All posts will initially be offered for a fixed term which is extendable for the 5 year duration of the partnership. Informal enquiries are welcomed by Professor Adrian Hilton by email (a.hilton at surrey.ac.uk). -- Prof Mark D Plumbley Head of School of Computer Science and Electronic Engineering Email: Head-of-School-CSEE at surrey.ac.uk Professor of Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk PA: Kelly Green Email: k.d.green at surrey.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From appukuttan.shailesh at gmail.com Mon Apr 26 07:55:16 2021 From: appukuttan.shailesh at gmail.com (Shailesh Appukuttan) Date: Mon, 26 Apr 2021 13:55:16 +0200 Subject: Connectionists: EBRAINS Training on Model Validation (May 4 - 7) - Extended Deadline In-Reply-To: References: Message-ID: *EBRAINS Training on Model Validation* *4?7 May 2021*https://www.humanbrainproject.eu/en/education/training-on-mo del-validation/ The HBP Education Programme is organising a training on Model Validation. This training will guide modellers and experimentalists in model validation (comparing simulation results to experimental data) using the EBRAINS Model Validation Framework. The training will take place *virtually* over 4 days. Participation in the Training is open to the entire student and researchers community, regardless of whether they are affiliated with the HBP or not. We encourage young scientists to register and aim at an equal gender representation. For a quick overview of the EBRAINS Model Validation Framework, check this short video: *https://www.youtube.com/watch?v=AEq-McLHxD4 * There are two parts to the workshop: - *Part 1: **May 4th, 5th* *talks, demos, hands-on tutorials* Deadline for application: *30 April (Friday) 2021* - *Part 2 (optional): **May 6th, 7th* *working on own projects* Deadline for application: *28 April (Wednesday) 2021* *Registration is free of charge for everyone. Visit:* https://www.humanbrainproject.eu/en/education/training-on-model-validation/ Applicants are allowed to register for only Part (1), in which case they are not required to submit the abstract (mentioned below). *Call for Submissions (for Part 2):* *For the 2nd part of the training,* we invite interested researchers to bring their own models and to send us a short abstract, describing your model. The abstracts should include: ? A short description of your model ? Simulators/tools used for developing and simulating models ? Overview of validation(s) you wish to implement during the training (specify at least one validation test), along with target (experimental) reference data ? If you have already some questions or comments, you are welcome to mention them ? If your model is already published, please include references at the end of the abstract Please send your abstract latest until *30 April 2021 (Friday), 5pm (CET)* to training-support at humanbrainproject.eu Further information on abstract submission and registration: https://www.humanbrainproject.eu/en/education/training-on-model-validation/ For any further questions, please contact training-support at human brainproject.eu Cheers, Shailesh Appukuttan -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at aimove.eu Mon Apr 26 07:53:56 2021 From: info at aimove.eu (info at aimove.eu) Date: Mon, 26 Apr 2021 14:53:56 +0300 Subject: Connectionists: =?utf-8?q?Join_Human-Centred_AI_professional_educ?= =?utf-8?q?ation_at_Mines_ParisTech_PSL_Universit=C3=A9?= Message-ID: Human-Centred AI professional education at Mines ParisTech PSL Universit? with only 3 months of mandatory presence AIMove Post-Master's Degree - Mast?re Sp?cialis? ? ARTIFICIAL INTELLIGENCE and MOVEMENT in Industries and Creation --------------------------------- At a glance Lead Institution : MINES ParisTech, PSL Universit? Paris Partners: IRCAM Pompidou Centre (France) I CERTH The Centre for Research and Technology-Hellas (Greece) I MDP Maxon Motor France I HAAS Lawyers I EDF I Neurodatalab Emotion AI hub I Mocaplab Motion Capture Studios I Idiap Research Institute (Switzerland) l Goldsmiths University of London l Date(s): Oct 1 2021 ? Sept 30 2022 Location: 1- On campus w/ Live Virtual option (3 months), 2- Fully on-campus (3 months), 3- Internship?s location worldwide (6 months) 6 Modules, 21 courses, 400 teaching hours, Think-Tank, Summer School, conferences and more? Each Course?s Length: 3-5 Days Tuition Fees: ?16, 800 ECTS: 75 Structure Hybrid flexible trimester (HF) Fully On-Campus trimester (OC) AND 6-month entreprise internship worldwide with a competitive salary Entry requirements 5 years at University level OR 4 years at University level + 3 years of professional experience Contact: info at aimove.eu Webpage: aimove.eu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Modules and courses cards_LR.jpg Type: image/jpeg Size: 679074 bytes Desc: not available URL: From cognitivium at sciencebeam.com Mon Apr 26 09:14:10 2021 From: cognitivium at sciencebeam.com (Mary) Date: Mon, 26 Apr 2021 17:44:10 +0430 Subject: Connectionists: FINAL call to register for neuroscience workshops! Message-ID: <202104261314.13QDEFdt113215@scs-mx-02.andrew.cmu.edu> With just 2 weeks to go, this is the final call for participants to register for upcoming neuroscience online courses, organized by ScienceBeam Academy, as described below: 1) ?Deep Dive into Event Related Potentials (ERPs) Technique? Online Course Prospective overview of the sessions: 1. Basics of EEG signal and EEG recordings ? Overview of the theory behind neural signals (History) ? Generation and Propagation of ERP and EEG ? Different EEG Recording Systems with its specifics (Amplifier, Electrodes etc.) ? 10/20 Electrode System, Reference, Montages, Impedance, etc. ? Brain Rhythms and Cognition (Based on Clinical and Research Studies) 2. Basics of ERP Components ? ERP Components (MMN, P300, N400, N170, VPP, CNV, Sensory ERP Components, etc.) ? Difference Wave, Forward-Inverse Problem ? Challenges in ERP Source Localization ? Peaks and Components 3. EEG-ERP Prepossessing with Various Preprocessing Pipelines ? Basic Principles and Challenges ? Filtering, Baseline Correction, Interpolation, Artifact Rejection and Correction, Re-referencing, ICA etc. ? Pipelines: MAKATO, HAPPE, BEAP and etc. 4. Experimental Design ? Principles of Experimental design for ERP in Clinical and Research Settings ? Significance of Measurement Window ? Common Design Problems and Solutions ? Case Studies on research articles with good and bad design 5. Basic Analysis ? Quantifying ERP Amplitudes and Latencies ? Introduction to the Analysis tool boxes (EEGLAB, ERPLAB) ? FFT, Time Frequency Analysis 6. Common Mistakes (in lack of parameters) ? Overlapping ? Filtering ? Epoching ? Baseline Correction ? Measurement Window ? Instructor: Mrs. Pragati Gupta, M.Sc. in Neuro-psychology from Gujarat Forensic Sciences University, India and a Student Member at Indian Academy of Neuroscience ? Course Length: 7-sessions online course ? Introductory webinar: https://sciencebeam.com/erplab-webinar/ ? Registration: https://sciencebeam.com/pragati-gupta-course/ o Deadline: May 5, 2021 2) ?Modeling Electrophysiological Activities: From Single Neuron to Nervous Tissue? Online Course. Theoretical and experimental hands-on course including lab sessions, in which you will learn about extracellular recording from rat models and also working with single-unit and Local Field Potential (LFP) data. Prospective overview of the sessions: 1. Session 1: ? Systems and complex system in neurosciences ? Origins of electrophysiological signals and measurements ? Electrophysiology and relevant features for computational modeling: o Membrane potential o Raster plot o Local field potential 2. Session 2: ? Understanding the time evolution of the electrophysiological signals from a dynamical systems point of view. ? Introduction to dynamical systems for neurosciences: o Differential equations o Phase space representation o Stability and domain of attraction ? Unidimensional and bidimensional models o Dynamics of integrate-and-fire models o Repertoire of 2 D models o Reduction of Hodgkin-Huxley model 3. Session 3: ? 2D and Higher dimensions models: o Particular role of the reset o Possibility of chaos ? Models of synapses ? Limits of models: o Biophysical and mechanistic description o Phenomenology ? Introduction to the first lab session (with Brian2 simulator) 4. Session 4: ? First Lab Session: o Repertoire of electrophysiological patterns o Models of networks o Global measure on simulations 5. Session 5: ? Second lab session: o analysis of the results o relations to the data ? Conclusive discussion ? Instructor: Dr. Damien Depannmaecker, Post-Doc researcher at Department of Integrative and Computational Neuroscience, Paris Saclay Institute of Neuroscience, France ? Course Length: 5-sessions hands-on online course ? Introductory webinar: https://sciencebeam.com/modeling-electrophysiological-activities/ ? Registration: https://sciencebeam.com/online-course-modeling-electrophysiological-activities-from-single-neuron-to-nervous-tissue/ o Deadline: May 20, 2021 If you require any further information, feel free to contact us: workshop at sciencebeam.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From scik at zhaw.ch Mon Apr 26 09:07:42 2021 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Mon, 26 Apr 2021 13:07:42 +0000 Subject: Connectionists: Last call (deadline April 30): ISSDS 2021, 1st Intl. Symposium on the Science of Data Science (Online) Message-ID: Dear colleagues This is the LAST CALL for the 1st International Symposium on the Science of Data Science, ISSDS 2021, to be held as an Online event on June 8, 2021, as a satellite event of the 8th Swiss Conference on Data Science SDS 2021. We are happy to announce that post-proceedings of ISSDS will be published in "Archives of Data Science Series A". If you plan to join the conference/submit an abstract, please remind the deadline is April 30, 2021. For further background information, please refer to the email below, and the workshop web page (https://www.sds2021.ch/1st-international-symposium-on-the-science-of-data-science). Registration: The new deadline for abstract submission and final registration is April 30, 2021. We are looking forward to a short presentation (10-15 min.) and an accompanying abstract from each registered participant. However, your abstract and presentation may outline preliminary ideas and hypotheses ? the symposium will then offer plenty of time to discuss these and move towards a synthesis of the individual views. For the registration and abstract submission, you can either use this form https://forms.gle/EP2xsEWbkgheLSPx7 (Google account required) or, otherwise, send an email to flum at zhaw.ch (please mention "1st International Symposium on the Science of Data Science" in the email). The workshop will take place as an ONLINE event on Tuesday, June 8, 2021. You can find the workshop webpage at https://www.sds2021.ch/1st-international-symposium-on-the-science-of-data-science. The workshop is organized as a satellite workshop of the 8th Swiss Conference on Data Science (SDS 2021), which takes place the following day, June 9, 2021, as a hybrid event online and at KKL Lucerne, Switzerland: https://www.sds2021.ch/. See also the attached Flyer with the CfP and more information. Background Information: Data science, one of the most significant developments in computing in the 21st century, is a discipline in the making, drawing principles, methods and tools from established fields like computer science, statistics, science, business, politics, and any domain with adequate data. Yet, data science is just starting. What are its underlying principles and techniques (models, methods) that are applicable across different use cases and fields of application? What ?science? underlies this emerging discipline? We are launching an activity to develop a reference framework for data science and invite your participation, organized in a two-stage process: * This first symposium on June 8, 2021, to share and discuss preliminary thoughts and hypotheses. * A future second symposium to solicit participation of a larger community (time and location TBD, e.g. co-located with a major data science conference), including published proceedings. We invite contributors to present their ideas at the first symposium and to continue the development of a reference framework for data science as an activity in the intl. data science community, to be finalized during the second symposium. Subjects of interest include, but are not limited to: * Data as a 3rd pillar of science: what input can the humanities give to this scientific upheaval? * Data science foundations drawn from, but not fully included in the constituent disciplines * Data science models and methods with broad impact that emerged within the field * Open research questions into the ?more than the sum of its parts?-aspects of data science * Engineering principles required to apply existing foundations, e.g., from statistics, in practice * Cross-field lessons learned, e.g., can data science help solve problems in which nobody has multi-year experience yet? The workshop is organized by researchers of Zuerich University of Applied Sciences ZHAW in Winterthur, Switzerland. Registration: The deadline for abstract submission and final registration is April 30, 2021. We are looking forward to a short presentation (10-15 min.) and an accompanying abstract from each registered participant. However, your abstract and presentation may outline preliminary ideas and hypotheses ? the symposium will then offer plenty of time to discuss these and move towards a synthesis of the individual views. For the registration and abstract submission, you can either use this form https://forms.gle/EP2xsEWbkgheLSPx7 (Google account required) or otherwise you can send an email to flum at zhaw.ch (please mention "1st International Symposium on the Science of Data Science" in the email). Please note that we are in contact with publishers regarding conference post-proceedings of extended abstracts (based on your submission and incorporating any discussion results from the workshop itself you might have received). We will keep you updated about the progress. The goal is to produce one of the first volumes on the substance of data science in terms of the different presented perspectives. Looking forward to the discussion with you! Best regards Prof. Dr. Thilo Stadelmann (ZHAW, Prof. AI/ML, Scientific Director ZHAW digital) Dr. Frank-Peter Schilling (ZHAW, Senior Researcher Deep Learning) Prof. Dr. Rudolf Fuechslin (ZHAW, Head of Applied Complex Systems Science) Dr. Dandolo Flumini (ZHAW, Assoc. Prof., Applied Complex System Science) -------------- next part -------------- An HTML attachment was scrubbed... URL: From moritz.grosse-wentrup at univie.ac.at Mon Apr 26 12:40:28 2021 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Mon, 26 Apr 2021 18:40:28 +0200 Subject: Connectionists: Postdoc position on causal explanations in reinforcement learning at the University of Vienna Message-ID: <4bbb2a60-390a-0eee-de28-8a1d0d4bcaab@univie.ac.at> We have an opening for a postdoc position in the Research Group Neuroinformatics at the University of Vienna [1]. The position is funded by the CHIST-ERA project CausalXRL - Causal eXplanations in Reinforcement Learning [2]. The project aims to equip reinforcement learning agents with causal structure learning and reasoning abilities, enabling them to explore their environment more efficiently and justify their actions, e.g., in medical decision support. All work will be done in close collaboration with partners at the University of Sheffield and Inria Lille. The position is available for three years, with an earliest (but reasonably flexible) starting date on July 1st. Salary is according to the Collective Bargaining Agreement for university staff at the University of Vienna (job group B1 100% [3]). Our ideal candidate would have * a background in computer science or mathematics, * recently finished their Ph.D. on reinforcement learning or causality, * published first-author papers at internationally recognized machine learning conferences (e.g., NeurIPS, ICML, UAI, ECML) or in prominent journals. We will consider all applicants with a strong track record in machine learning or artificial intelligence. We strive to be a heterogeneous research team and particularly welcome applications by women, transgender and intersex candidates, people of colour, disabled applicants and candidates from other underrepresented groups. Disabled applicants will receive preference over equally qualified non-disabled applicants. Your application should include a cover letter, a CV, relevant transcripts, and contact information of at least two referees. Please submit your application documents (as one PDF file) to fsg.neuroinformatics at univie.ac.at. We will begin screening applications on May 17th. Applications will be considered until the position is filled. Our offices are in downtown Vienna, which has been ranked the most liveable city globally for two years in a row [4]. The University of Vienna is one of Europe's largest universities (with >90k students) and has a vibrant research community. If you have any questions before applying, please contact me at moritz.grosse-wentrup at univie.ac.at! 1. https://ni.cs.univie.ac.at/ 2. https://www.chistera.eu/projects/causalxrl 3. https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-scheme/ 4. https://www.eiu.com/topic/liveability -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna H?rlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup at univie.ac.at +43-1-4277-79610 http://neural.engineering/ From danny.silver at acadiau.ca Mon Apr 26 21:13:49 2021 From: danny.silver at acadiau.ca (Danny Silver) Date: Tue, 27 Apr 2021 01:13:49 +0000 Subject: Connectionists: =?utf-8?q?CFP_-_AI_for_Non_Profits_=E2=80=93_Call?= =?utf-8?q?_for_Papers?= In-Reply-To: References: Message-ID: AI for Non Profits Workshop ? Call for Papers Wolfville, Nova Scotia - May 18, 2021 https://www.fundmetric.com/forum The 1st annual AI for Non Profit Workshop will take place virtually on May 18, 2021, based in Wolfville, Canada. This event is co-hosted by Acadia University (www.acadiau.ca) and Fundmetric (www.fundmetric.com). The workshop will bring together leaders at the nexus of artificial intelligence, fundraising, and business. This is a call for one page abstracts for presentations of original work in AI, in particular with respect to purchases and donations, fundraising in general, and using business approaches for fundraising. The top 10 abstracted will be published on the workshop website. And of these, the top 6 abstracts will be selected for a 15 minute presentation by the authors. Submissions should be about Artificial Intelligence, Machine Learning, Deep Learning or Data Analytics applied to areas such as: * Major Giving * Annual Giving * Planned Giving * Upgrading Donors * Stewardship * Economics * Branding * Customer Relationship Management * Market Structure Important Dates Submission Deadline: May 3, 2021 Author Notification: May 7, 2021 Final Abstracts due: May 12, 2021 Main Conference: May 18, 2021 Submission Details We invite 1 page abstract submissions that clearly describe the problem, objectives, approach, results and conclusions. There will be electronic publication of the top 10 selected abstracts on the conference website, with the top 6 selected for a 15 minute presentation on May 18, 2021. Submissions should be sent to glee at acadiau.ca with ?AI Non-profit submission? [cid:image001.png at 01D73AE9.6DB1AA70][cid:image002.png at 01D73AE9.6DB1AA70] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 9809 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 8265 bytes Desc: image002.png URL: From bijaya at vt.edu Mon Apr 26 11:40:55 2021 From: bijaya at vt.edu (Bijaya Adhikari) Date: Mon, 26 Apr 2021 10:40:55 -0500 Subject: Connectionists: epidamik 4.0 CFP Message-ID: Dear colleague, The 4th epiDAMIK at SIGKDD workshop is a forum to discuss new insights into how data mining can play a bigger role in epidemiology and public health research. While the integration of data science methods into epidemiology has significant potential, it remains under studied. We aim to raise the profile of this emerging research area of data-driven and computational epidemiology, and create a venue for presenting state-of-the-art and in-progress results?in particular, results that would otherwise be difficult to present at a major data mining conference, including lessons learnt in the ?trenches?. The current COVID-19 pandemic has only showcased the urgency and importance of this area. Our target audience consists of data mining and machine learning researchers from both academia and industry who are interested in epidemiological and public-health applications of their work. Additionally, we are aiming to attract researchers and practitioners from the areas of mathematical epidemiology and public health, who are increasingly dealing with more complex models and novel data sources??these problems bring up novel challenges from a data science and machine learning perspective. The past iterations of the workshop were co-located with SIGKDD 2018, SIGKDD 2019 (also part of ?health days?), and SIGKDD 2020. These were a great success with insightful contributed works as well as high-quality keynotes. To reflect the broad scope of work, we encourage submissions that span the spectrum from theoretical analysis, algorithms and implementation, to applications and empirical studies, from both data mining and public health viewpoints.Topics of interest include, but are not limited to: - Epidemiologically-relevant data collection and curation - Advances in modeling, simulation and calibration of disease spread models - Syndromic surveillance using social media, search and other data sources - Challenges in model validation against ground truth - Outbreak detection and inference - Visualization of epidemiological data - Planning for public health policy - Role of open source data and community in epidemiology - Data-driven advances in control and optimization (like immunization) - Forecasting disease outcomes including COVID-19 projections - Graph mining and network science approaches to epidemiology - Crowdsourced methods for detection and forecasting - Use of novel datasets for prediction and analysis (including EHR records) - Genomic analyses related to outbreak science (e.g., phylogenetics) - Data mining for hospital acquired infections like C.Diff, MRSA etc. - Identifying health behaviors - Handling missing and noisy data - Disease forecasting challenge (like the CDC Flu Challenge) experiences - Interpretable and expert-driven AI for public health - Any late-breaking work on the COVID-19 epidemic - Experiences of real-time forecasting - Infodemic, misinformation, and disinformation We invite the submission of full regular research papers (6-8 pages) as well as short, work-in-progress, demo or position papers (2-4 pages). Short summary versions of recently published major papers (2-4 pages) are also welcome. We recommend papers to be formatted according to the standard double-column ACM Proceedings Style. All papers should contain the name of authors and their affiliations. Authors whose papers are accepted to the workshop will have the opportunity to participate in a virtual poster session, and some may also be chosen for oral presentation. There are no restrictions on already submitted work or authors simultaneously posting their manuscripts to any pre-print server. The conference and the workshop will be completely virtual, with virtual presentations for accepted papers and keynotes. The accepted papers will be made available online but will not be considered archival. The authors are free to resubmit the paper to preprint servers and future conferences and journals. For paper submission, please proceed to the submission website. Submission website: https://easychair.org/conferences/?conf=epidamik40 Please send any enquiries to epidamik at gmail.com. Important Dates All deadlines are set at 11:59 PM Pacific Daylight Time. - Submission site open: April 10, 2021 - Workshop paper submissions: May 20, 2021 - Workshop paper notifications: June 10, 2021 - Camera-ready papers due: July 10, 2020 - Workshop date: August 14-18, 2021 You can find more information at https://epidamik.github.io/ and follow us on Twitter @EpidamikW We look forward to your participation. Sincerely, The organizing team: Bijaya Adhikari (University of Iowa), Rose Yu (UCSD), Amulya Yadav (Penn State), Ajitesh Srivastava (USC), Sen Pei (Columbia), Sarah Kefayati (IBM), Alexander Rodriguez (Georgia Tech). -------------- next part -------------- An HTML attachment was scrubbed... URL: From riccardo.guidotti at unipi.it Tue Apr 27 02:54:26 2021 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Tue, 27 Apr 2021 08:54:26 +0200 Subject: Connectionists: XKDD 2021 - Call for Papers Message-ID: XKDD 2021 - Call for Papers ------------------------------------------------------------------------- 3rd International Workshop on eXplainable Knowledge Discovery in Data Mining ------------------------------------------------------------------------- IMPORTANT DATES Paper Submission deadline: June 23, 2021 Accept/Reject Notification: July 10, 2021 Camera-ready deadline: July 31, 2021 Workshop: September 13, 2021 CONTEXT & OBJECTIVES In the past decade, machine learning based decision systems have been widely used in a wide range of application domains, like for example credit score, insurance risk, and health monitoring, in which accuracy is of the utmost importance. Although the support of these systems has a big potential to improve the decision in different fields, their use may present ethical and legal risks, such as codifying biases, jeopardizing transparency and privacy, reducing accountability. Unfortunately, these risks arise in different applications and they are made even more serious and subtly by the opacity of recent decision support systems, which often are complex and their internal logic is usually inaccessible to humans. Nowadays most of the Artificial Intelligence (AI) systems are based on Machine Learning algorithms. The relevance and need of ethics in AI is supported and highlighted by various initiatives arising from the researches to provide recommendations and guidelines in the direction of making AI-based decision systems explainable and compliant with legal and ethical issues. These include the EU's GDPR regulation which introduces, to some extent, a right for all individuals to obtain ``meaningful explanations of the logic involved'' when automated decision making takes place, the ``ACM Statement on Algorithmic Transparency and Accountability'', the Informatics Europe's ``European Recommendations on Machine-Learned Automated Decision Making'' and ``The ethics guidelines for trustworthy AI'' provided by the EU High-Level Expert Group on AI. The challenge to design and develop trustworthy AI-based decision systems is still open and requires a joint effort across technical, legal, sociological and ethical domains. The purpose of XKDD, eXaplaining Knowledge Discovery in Data Mining, is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining and machine learning. XKDD is an event organized into two moments: a tutorial to introduce audience to the topic, and a workshop to discuss recent advances in the research field. The tutorial will provide a broad overview of the state of the art on the major applications for explainable and transparent approaches and their relationship with fairness and privacy. Moreover, it will present Python/R libraries that practically shows how explainability and fairness tasks can be addressed. The workshop will seek top-quality submissions addressing uncovered important issues related to ethical, fair, explainable and transparent data mining and machine learning. Papers should present research results in any of the topics of interest for the workshop as well as application experiences, tools and promising preliminary ideas. XKDD asks for contributions from researchers, academia and industries, working on topics addressing these challenges primarily from a technical point of view, but also from a legal, ethical or sociological perspective. Topics of interest include, but are not limited to: TOPICS - Explainable Artificial Intelligence - Interpretable Machine Learning - Transparent Data Mining - Explainability in Clustering Analysis - Technical Aspects of Algorithms for Explanation - Explaining Black Box Decision Systems - Adversarial Attack-based Models - Counterfactual and Prototype-based Explanations - Causal Discovery for Machine Learning Explanation - Fairness Checking - Fair Machine Learning - Explanation for Privacy Risk - Ethics Discovery for Explainable AI - Privacy-Preserving Explanations - Transparent Classification Approaches - Anonymity and Information Hiding Problems in Comprehensible Models - Case Study Analysis - Experiments on Simulated and Real Decision Systems - Monitoring and Understanding System Behavior - Privacy Risk Assessment - Privacy by Design Approaches for Human Data - Statistical Aspects, Bias Detection and Causal Inference - Explanation, Accountability and Liability from an Ethical and Legal Perspective - Benchmarking and Measuring Explanation - Visualization-based Explanations - Iterative Dialogue Explanations - Explanatory Model Analysis - Human-Model Interfaces - Human-Centered Artificial Intelligence - Human-in-the-Loop Interactions SUBMISSION & PUBLICATION All contributions will be reviewed by at least three members of the Program Committee. As regards size, contributions can be up to 16 pages in LNCS format, i.e., the ECML PKDD 2021 submission format. All papers should be written in English and be in LNCS format. The following kinds of submissions will be considered: research papers, tool papers, case study papers and position papers. Detailed information on the submission procedure are available at the workshop web page: https://kdd.isti.cnr.it/xkdd2021/ Accepted papers will be published after the workshop by Springer in a volume of Lecture Notes in Computer Science (LNCS). Condition for inclusion in the post-proceedings is that at least one of the co-authors has presented the paper at the workshop. Pre-proceedings will be available online before the workshop. We also allow accepted papers to be presented without publication in the conference proceedings, if the authors choose to do so. Some of the full paper submissions may be accepted as short papers after review by the Program Committee. A special issue of a relevant international journal with extended versions of selected papers is under consideration. The submission link is: https://easychair.org/conferences/?conf=xkdd2021 KEYNOTE SPEAKER - Andreas Holzinger, Human-Centered AI Lab, Medical University of Graz, Austria PROGRAM COMMITEE - Avishek Anand, Leibniz University, Germany - Umang Bhatt, University of Cambridge, UK - Francesco Bodria, Scuola Normale Superiore, Italy - Giuseppe Casalicchio, Ludwig-Maximilians-University of Munich, Germany - Chaofan Chen, Duke University, UK - Miguel Couceiro, INFRIA, France - Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain - Thibault Laugel, AXA, France - Paulo Lisboa, Liverpool John Moores University, UK - Marcin Luckner, Warsaw University of Technology, Poland - Stan Matwin, Dalhousie University, Canada - Ramaravind Kommiya Mothilal, Microsoft Research, India - Francesca Naretto, Scuola Normale Superiore, Italy - Roberto Prevete, University of Napoli, Italy - Antonio Rago, Imperial College London, UK - Jan Ramon, INFRIA, France - Xavier Renard, AXA, France - Mahtab Sarvmaili, Dalhousie University, Canada - Dominik Slezak, University of Warsaw, Poland - Myra Spiliopoulou, University Magdeburg, Germany - Vincenc Torra, IIIA-CSIC, Spain - Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece - Marco Virgolin, Chalmers University of Technology, Netherlands - Wendy Hui Wang, Stevens Institute, USA - Guangyi Zhang, KTH Royal Institute of Technology, Sweden PROGRAM CO-CHAIRS * Przemyslaw Biecek, Warsaw University of Technology, Poland * Riccardo Guidotti, University of Pisa, Italy * Anna Monreale, University of Pisa, Italy * Salvatore Rinzivillo, ISTI-CNR, Pisa, Italy CONTACT All inquires should be sent to xkdd2021 at easychair.org -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 286 Phone: +39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From gpipa at uos.de Tue Apr 27 05:40:27 2021 From: gpipa at uos.de (Prof. Dr. Gordon Pipa) Date: Tue, 27 Apr 2021 11:40:27 +0200 Subject: Connectionists: =?iso-8859-1?q?Open_Phd_Postion_-_Neuroinformatic?= =?iso-8859-1?q?s_-_Spiking_Recurrent_Networks_-_Osnabr=FCck_German?= =?iso-8859-1?q?y?= Message-ID: <1b2601d73b49$5aaa4a80$0ffedf80$@uos.de> The Neuroinformatics department of the Institute of Cognitive science offers a PhD position at the interface between theoretical neuroscience and machine learning. https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-d etail/85-ikw-research-assistant-mfd/ This position will be strongly linked to the research training group (https://www.comco.uni-osnabrueck.de/en/startpage.html). The candidate should be interested in models for spike based information processing in recurrent neuronal networks (see for example https://direct.mit.edu/neco/article/29/9/2491/8287/Cortical-Spike-Synchrony- as-a-Measure-of-Input ). Any background with or interest in neuromorphic computing will be welcome. ---------------------------------------------------------------------------- -------------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabr?ck, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa at uos.de webpage: http://www.ni.uos.de research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin: https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: AnnaJungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges at uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS -------------- next part -------------- An HTML attachment was scrubbed... URL: From timvogels at gmail.com Tue Apr 27 09:25:38 2021 From: timvogels at gmail.com (Tim Vogels) Date: Tue, 27 Apr 2021 15:25:38 +0200 Subject: Connectionists: Open positions in the Vogels Lab Message-ID: <609A2229-B712-459D-84AE-8704CC18FF68@gmail.com> Dear Colleagues, the Vogels lab has two open postdoctoral positions. TL;DR, if you liked our last NeurIPS paper https://www.biorxiv.org/content/10.1101/2020.10.24.353409v1 and you think you can contribute and imagine, oh, the places we?ll go from here,?from one of the most liveable cities in the world, ? DO apply. ? We are looking for at least two scientists to join the vogelslab.org as postdocs at the @ISTAustria near Vienna. The successful candidate will join an ongoing ERC funded project to discover families of spike-induced synaptic plasticity rules by way of numerical derivation. Together, we will define and explore search spaces of biologically plausible plasticity rules expressed e.g., as polynomial expansions or multi layer perceptrons. We aim to compare the results to various experimental and theoretical data sets, including functional spiking network models, human stem-cell derived neural network cultures, in vitro and in vivo experimental data. We are looking for someone who can expand and develop our multipurpose modular library dedicated to optimization of non-differentiable systems. Due to the modularity of the library, the candidate will have extensive freedom regarding which optimization techniques to use and what to learn in which systems, but being a team player will be a crucial skill. A conceivably successful candidate will have a strong expertise in numerical simulations, and specifically spiking neuron models, and some knowledge in the field of synaptic plasticity. A strong background in applied maths, especially in numerical optimization would be desirable. Some of the questions we ponder: How to express high dimensional rules in However, we can hire more than one person, and we would also be interested in someone who can contribute to design, implementation and maintenance of a library dedicated to performing numerical optimization in non-differentiable systems on large scales. We are thinking about how to simulate spiking neural networks with complex, unsupervised and supervised plasticity rules efficiently, in parallel, on a cluster. Depending on your (flexible, possibly immediate) starting date we can offer up to 4-year contracts with competitive salaries, benefits, vacation time and ample budget for materials and travel in a tranquil and inspiring environment. The Vogelslab, and the IST Austria is located in Klosterneuburg, a historic city northwest of Vienna. The campus is located in the middle of the beautiful landscape of the Vienna Woods, 30 minutes from downtown Vienna, the capital of Austria that consistently scores in the top cities of the world for its high standard of living. If you are interested, send an email with your application to Jessica . deAntoni [at] ist.ac.at. Your application should include your CV, your most relevant publication, contact information for 2 or more references, and a cover letter with a short description of you & your career, and a brief discussion of what you think is the greatest weakness of the above mentioned NeurIPS paper (and maybe how you would go about fixing it). We are looking to build a diverse and interesting environment, so if you bring any qualities that make our lab (and computational neuroscience at large) more diverse than it is right now, please consider applying. We will begin to evaluate applications at the end of April and aim to get back to you with a decision within 5 weeks of your application. We are also looking for people with a strong background in maths and machine learning, and an intense interest in neuroscience. Specifically, we will focus on (GABAergic, codependent , and machine-learning inspired ) synaptic plasticity, and modulated neural network dynamics. Finally, we are keen to hear from women and members of underrepresented groups in neuroscience. Please email me with any questions or thoughts. Best wishes, Tim Vogels --- Tim Vogels Professor Neurotheory IST Austria vogelslab.org +43 2243 9000 2170 -------------- next part -------------- An HTML attachment was scrubbed... URL: From kordjams at msu.edu Tue Apr 27 09:01:12 2021 From: kordjams at msu.edu (Kordjamshidi, Parisa) Date: Tue, 27 Apr 2021 13:01:12 +0000 Subject: Connectionists: [CFP] ACL 2021 SpLU (Spatial Language Understanding) and RoboNLP Combined Workshop References: <6F4B78D8-0CF9-453D-A16C-71F20DFD13E4@msu.edu> Message-ID: <113170E9-A415-414B-B35C-85D31EABFC78@msu.edu> --------------------------------------------------------------- CALL FOR PAPERS: Extended Deadline ---------------------------------------------------------------- ACL-2021 Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP) --------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS --------------------------------------------------------------- * Long Papers * Technical papers: ACL style, 8 pages excluding references * Short Papers * Position statements describing previously unpublished work or demos: ACL style, 4 pages excluding references Workshop website: https://splu-robonlp2021.github.io/ ACL Style files: https://2021.aclweb.org/downloads/acl-ijcnlp2021-templates.zip Submissions website: www.softconf.com/acl2021/w21_splu-robonlp2021 Non-Archival option: To allow dual submission of work to SpLU-RoboNLP 2021 and other conferences/journals, we are also including a non-archival track. These submissions will still participate and present their work in the workshop, and will be hosted on the workshop website, but will not be included in the official proceedings. Please submit through softconf but indicate that this is a cross submission (non-archival) at the bottom of the submission form. --------------------------------------------------------------- IMPORTANT DATES --------------------------------------------------------------- Important Dates ? Submission Deadline: Extended to May 3, 2021 ? Notification: May 28, 2021 ? Camera Ready deadline: June 7, 2021 ? Workshop Day: August 5-6, 2021 --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- Leveraging the foundation built in the prior workshops RoboNLP 2017, SpLU 2018, SpLU-RoboNLP 2019, and SpLU 2020, this workshop aims to realize the long-term goal of natural conversation with machines in our homes, workplaces, hospitals, and warehouses. It also highlights the importance of spatial semantics when it comes to communicating about the physical world and grounding language in perception. Human-robot dialogue often involves developing an understanding of grounded spatial descriptions. These capabilities invariably require understanding spatial semantics that relates to the physical environments where robots are embodied. The main goal of this joint workshop is to bring in the perspectives of researchers working on physical robot systems and with human users, and align spatial language understanding representation and learning approaches, datasets, and benchmarks with the goals and constraints encountered in HRI and robotics. Such constraints include high costs of real-robot experiments, human-in-the-loop training and evaluation settings, scarcity of embodied data, as well as non-verbal communication. --------------------------------------------------------------- TOPICS OF INTEREST --------------------------------------------------------------- Topics include but are not limited to: - Achieving Common Ground in Human-Robot Interaction - Aligning and Translating Language to Situated Actions - Cognitive and Linguistically Motivated Spatial Language Representations - Evaluation Metrics for Language Grounding and Human-Robot Communication - Human-Computer Interactions Through Natural or Structural Language - Instruction Understanding and Spatial Reasoning Based on Multimodal Information for Navigation, Articulation, and Manipulation - Interactive Situated Dialogue for Physical Tasks - Language-based Game Playing for Grounding - Reasoning over Spatial Language (e.g. Based on Qualitative and Quantitative Spatial Representation) - Spatial Language and Skill Learning via Grounded Dialogue - Spatial Information Extraction from Text (e.g. Locative Descriptions, Navigation Instruction) - (Spatial) Language Generation for Embodied Tasks - (Spatially) Grounded Knowledge Representations --------------------------------------------------------------- INVITED SPEAKERS --------------------------------------------------------------- Maja Matari?, University of Southern California Kartik Narasimhan, Princeton University Jean Oh, Carnegie Mellon University Thora Tenbrink, Bangor University --------------------------------------------------------------- ORGANIZING COMMITTEE --------------------------------------------------------------- Malihe Alikhani, University of Pittsburgh Valts Blukis, Cornell University Parisa Kordjamshidi, Michigan State University Aishwarya Padmakumar, University of Texas at Austin Hao Tan, University of North Carolina --------------------------------------------------------------- CONTACT --------------------------------------------------------------- Feel free to contact Organizing Committee at splu-robonlp-2021 at googlegroups.com. ------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From pokornam at cs.cas.cz Tue Apr 27 10:17:02 2021 From: pokornam at cs.cas.cz (pokornam) Date: Tue, 27 Apr 2021 16:17:02 +0200 Subject: Connectionists: Postdoc / Research Fellow positions - Prague, Czech Republic - Institute of Computer Science CAS Message-ID: 1. Postdoc / Research Fellow position in brain signal processing: Visual information flows is available to join the Complex Networks and Brain Dynamics group for the project: ?Timing of the spatial scene processing in the dorsal and ventral visual stream of the human brain? funded by the Czech Science Foundation. More information and application at https://www.cs.cas.cz/job-offer/iEEG-postdoc-positions-Hlinka2/en 2. Postdoc / Research Fellow position in complex network analysis: Critical Events detection is available to join the Complex Networks and Brain Dynamics group for the project: ?Modelling and analysis of complex systems for safety of critical infrastructures? as part of the National Center of Competence ? Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects. More information and application at: https://www.cs.cas.cz/job-offer/NCK-postdoc-positions-Hlinka1/en Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic http://cobra.cs.cas.cz/ From dwang at cse.ohio-state.edu Tue Apr 27 13:30:20 2021 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Tue, 27 Apr 2021 17:30:20 +0000 Subject: Connectionists: NEURAL NETWORKS, May 2021 Message-ID: Neural Networks - Volume 137, May 2021 https://www.journals.elsevier.com/neural-networks Robustifying models against adversarial attacks by Langevin dynamics Vignesh Srinivasan, Csaba Rohrer, Arturo Marban, Klaus-Robert Muller, ... Shinichi Nakajima Nonclosedness of sets of neural networks in Sobolev spaces Scott Mahan, Emily J. King, Alex Cloninger Controllable stroke-based sketch synthesis from a self-organized latent space Sicong Zang, Shikui Tu, Lei Xu Extracting and inserting knowledge into stacked denoising auto-encoders Jianbo Yu, Guoliang Liu A conditional Triplet loss for few-shot learning and its application to image co-segmentation Daming Shi, Maysam Orouskhani, Yasin Orouskhani A training algorithm with selectable search direction for complex-valued feedforward neural networks Zhongying Dong, He Huang Stochastic configuration network ensembles with selective base models Changqin Huang, Ming Li, Dianhui Wang Passive filter design for fractional-order quaternion-valued neural networks with neutral delays and external disturbance Qiankun Song, Sihan Chen, Zhenjiang Zhao, Yurong Liu, Fuad E. Alsaadi Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks Dhanush Dharmaretnam, Chris Foster, Alona Fyshe The role of individual neuron ion conductances in the synchronization processes of neuron networks B.R.R. Boaretto, C. Manchein, T.L. Prado, S.R. Lopes The Kolmogorov-Arnold representation theorem revisited Johannes Schmidt-Hieber The exact asymptotic form of Bayesian generalization error in latent Dirichlet allocation Naoki Hayashi Statistical foundation of Variational Bayes neural networks Shrijita Bhattacharya, Tapabrata Maiti MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets Remco Royen, Leon Denis, Quentin Bolsee, Pengpeng Hu, Adrian Munteanu Building an adaptive interface via unsupervised tracking of latent manifolds Fabio Rizzoglio, Maura Casadio, Dalia De Santis, Ferdinando A. Mussa-Ivaldi Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation Chengli Peng, Tian Tian, Chen Chen, Xiaojie Guo, Jiayi Ma -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Tue Apr 27 22:06:20 2021 From: nemanja at temple.edu (Nemanja Djuric) Date: Wed, 28 Apr 2021 02:06:20 +0000 Subject: Connectionists: [CfP] ICCV 2021 Workshop: 2nd Autonomous Vehicle Vision (AVVision) Message-ID: The 2nd Autonomous Vehicle Vision (AVVision) Workshop is organized by the AVVision community. This workshop aims to bring together industry professionals and academics to brainstorm and exchange ideas on the advancement of computer vision techniques for autonomous driving. In this one-day workshop, we will have seven keynote talks and regular paper presentations (oral and poster) to discuss the state of the art as well as existing challenges in autonomous driving. The workshop webpage is at https://avvision.xyz/iccv21/. Keynote Speakers: * Cordelia Schmid, INRIA * Raquel Urtasun, University of Toronto * Andreas Geiger, University of T?bingen * Fisher Yu, ETH Z?rich * Laura Leal-Taix?, Technical University of Munich * Matthew Johnson-Roberson, University of Michigan * Carl Wellington, Aurora Call for papers: With a number of breakthroughs in autonomous system technology over the past decade, the race to commercialize self-driving cars has become fiercer than ever. The integration of advanced sensing, computer vision, signal/image processing, and machine/deep learning into autonomous vehicles enables them to perceive the environment intelligently and navigate safely. Autonomous driving is required to ensure safe, reliable, and efficient automated mobility in complex uncontrolled real-world environments. Various applications range from automated transportation and farming to public safety and environment exploration. Visual perception is a critical component of autonomous driving. Enabling technologies include: a) affordable sensors that can acquire useful data under varying environmental conditions, b) reliable simultaneous localization and mapping, c) machine learning that can effectively handle varying real-world conditions and unforeseen events, as well as ?machine-learning friendly? signal processing to enable more effective classification and decision making, d) hardware and software co-design for efficient real-time performance, e) resilient and robust platforms that can withstand adversarial attacks and failures, and f) end-to-end system integration of sensing, computer vision, signal/image processing and machine/deep learning. The 2nd AVVision workshop will cover all these topics. Research papers are solicited in, but not limited to, the following topics: * 3D road/environment reconstruction and understanding; * Mapping and localization for autonomous cars; * Semantic/instance driving scene segmentation and semantic mapping; * Self-supervised/unsupervised visual environment perception; * Car/pedestrian/object/obstacle detection/tracking and 3D localization; * Car/license plate/road sign detection and recognition; * Driver status monitoring and human-car interfaces; * Deep/machine learning and image analysis for car perception; * Adversarial domain adaptation for autonomous driving; * On-board embedded visual perception systems; * Bio-inspired vision sensing for car perception; * Real-time deep learning inference. Important Dates: * Paper submission deadline: Jul. 23, 2021 * Review feedback release date: Aug. 09, 2021 * Camera-ready Submission: Aug. 16, 2021 Submission Guidelines: Authors are encouraged to submit high-quality, original (i.e., not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journal, conference, or workshop) research. The paper template is identical to the ICCV 2021 main conference. Papers are limited to eight pages, including figures and tables, in the ICCV style. Additional pages containing only cited references are allowed. Please refer to the following files for detailed formatting instructions: * Example submission paper with detailed instructions Download * LaTeX Templates (zip): iccv2021AuthorKit.zip Download Papers that are not properly anonymized, or do not use the template, or have more than eight pages (excluding references) will be rejected without review. The submission site is now open. Organizers: * Rui Ranger Fan, UC San Diego * Nemanja Djuric, Aurora Innovation * Rowan McAllister, Toyota Research Institute * Ioannis Pitas, Aristotle University of Thessaloniki -------------- next part -------------- An HTML attachment was scrubbed... URL: From pattichi at ucy.ac.cy Wed Apr 28 02:38:46 2021 From: pattichi at ucy.ac.cy (Constantinos Pattichis) Date: Wed, 28 Apr 2021 09:38:46 +0300 Subject: Connectionists: [CAIP2021] CAIP 2021 - VIRTUAL CONFERENCE - EXTENDED PAPER SUBMISSION DEADLINE - 05 MAY 2021 In-Reply-To: References: <016801d6f32e$5441ec60$fcc5c520$@easyconferences.eu> <01bd01d6f3b1$2e833500$8b899f00$@easyconferences.eu> <00e801d6f47c$437dfaa0$ca79efe0$@easyconferences.eu> <00f001d6f47c$9c7e6720$d57b3560$@easyconferences.eu> <042a01d70075$8e432e20$aac98a60$@easyconferences.eu> <019e01d724a3$e3d4eb10$ab7ec130$@easyconferences.eu> Message-ID: *Due to the COVID-19 global pandemic, CAIP 2021 will be held as a virtual conference. The Organizing Committee would like to thank you for your commitment and support and reassure you that they are dedicated to offering the best possible online experience to attendees.* Call for Papers*http://cyprusconferences.org/caip2021 * CAIP 2021 is the 19th in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. Previous conferences were held in Salerno, Ystad, Valletta, York, Seville, M?nster, Vienna, Paris, etc. The scientific program of the conference will consist of plenary lectures and contributed papers presented in a single track. Furthermore, CAIP 2021 will feature contests and tutorials preceding the main conference event, as well as workshops following the main conference event. CAIP 2021 will also host a student?s paper competition. *Fields of Interest* The conference invites novel contributions to the automatic analysis of images and patterns, encompassing both new challenging application areas and substantial new theoretical developments in the field. - 3D Vision - Biomedical image and pattern analysis - Biometrics - Brain ? inspired methods - Computer Vision Accelerators - Deep Learning - Document analysis - Egocentric Vision - Face and gestures - Feature Extraction - Graph-based methods - High ? dimensional topology methods - Human pose estimation - Image restoration - Image/video indexing & retrieval - Keypoint detection - Machine learning for image and pattern analysis - Mobile multimedia - Model-based vision - Motion and tracking - Object recognition - Segmentation - Shape representation and analysis - Vision for robotics / drones/ UAVs *Special Research Award* CAIP 2021 will give a special research award for the best paper of the conference associated to COVID-19 research, in order to honor those who have lost their lives and the heroes and the volunteers associated to the COVID-19 crisis. Committees *General Chairs* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Andreas Lanitis* *CYENS & Cyprus University of Technology, Cyprus* *Nicolai Petkov* *University of Groningen, Netherlands* *Program Chairs* *Nicolas Tsapatsoulis* *Cyprus University of Technology, Cyprus* *Andreas Panayides* *University of Cyprus, Cyprus* *Theo Theocharides* *KIOS & University of Cyprus, Cyprus* *Mario Vento* *University of Salerno, Italy * *LOC* *Constantinos S. Pattichis* *CYENS & University of Cyprus, Cyprus* *Constandinos Mavromoustakis* *IEEE Cyprus Section & University of Nicosia Research Foundation, Cyprus* *Alexis Polycarpou* *IET Cyprus* *Toumazis Toumazi* *Cyprus Computer Society* Important Dates *Special Sessions proposal submission* 05 May 2021 *Special Sessions acceptance notification* 10 May 2021 *Paper Submission* 05 May 2021 *Author notification* 15 June 2021 *Camera-ready paper due* 01 July 2021 *Early bird registration* 31 July 2021 Contact *For Academic Enquiries please contact:* *Prof. Constantinos S. Pattichis *pattichi at ucy.ac.cy *For Arrangements and Registration Information:* *Easy Conferences *info at easyconferences.eu *Organized and Sponsored by* [image: cid:image001.png at 01D6F3C1.F099B050] *Endorsed by* [image: cid:image004.jpg at 01D6D496.3800FCA0] *Co-Organizers & Co-Sponsors* [image: cid:image010.jpg at 01D6D496.3E127BF0] *Technical Co-Sponsors* [image: cid:image011.jpg at 01D6D496.3E127BF0] cyprusconferences.org/caip2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.jpg Type: image/jpeg Size: 5249 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image010.jpg Type: image/jpeg Size: 2687 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image005.jpg Type: image/jpeg Size: 33696 bytes Desc: not available URL: -------------- next part -------------- _______________________________________________ CAIP2021 mailing list CAIP2021 at cs.ucy.ac.cy https://listserv.cs.ucy.ac.cy/mailman/listinfo/caip2021 From s.mcloone at qub.ac.uk Wed Apr 28 04:29:03 2021 From: s.mcloone at qub.ac.uk (=?UTF-8?Q?Se=c3=a1n_McLoone?=) Date: Wed, 28 Apr 2021 09:29:03 +0100 Subject: Connectionists: Special issue on Intelligent Control and Optimisation - Call for Papers Message-ID: <2fb0f31e-4dd1-1e23-ec50-6c99bec3c64f@qub.ac.uk> Dear colleagues It is our pleasure to announce a call for papers for a special issue of the IFAC/Elsevier Journal Engineering Applications of Artificial Intelligence on *'Intelligent Control and Optimisation '*. *Deadline for full paper submission: *31 July 2021 Prospective authors are invited to submit their original unpublished manuscripts for consideration for a special issue of the IFAC journal Engineering Applications of Artificial Intelligence, organised by the IFAC Technical Committee on Computational Intelligence and Control. *The **theme of the special issue is Advances in Machine Learning and AI for Intelligent Control and Optimisation*. The constantly increasing availability of data, the rapid expansion in computational and storage capacities of IT systems, and algorithmic advances in Machine Learning, AI and Intelligent Control, are beginning to have a huge impact in many areas of science and engineering.? These technologies have the potential to transform many sectors of our society, from healthcare to manufacturing. However, many challenges remain that are limiting their wide scale adoption, from dealing with data quality and volume issues to achieving scalable and robust solutions. This special issue invites contributions that address these challenges and/or showcase the latest real-world applications and enabling algorithmic advancements of Machine Learning and Intelligent Control.? Comprehensive tutorial and survey papers are also welcome. We invite novel contributions that are based on (but not limited to) the following topics as they pertain to system identification, intelligent control, and optimisation of dynamical systems. -?? ?Parsimonious and robust machine learning approaches -?? ?Deep learning, transfer learning and adaption -?? ?Machine learning approaches for sequence learning tasks -?? ?Soft computing (Fuzzy logic, Neural Networks, Evolutionary Algorithms, ?) -?? ?Reinforcement learning -?? ?Computer vision Application areas include autonomous vehicles, robotic systems, human-machine collaboration, industry 4.0, smart grids, agriculture, environmental systems, biomedical systems and assisted living technologies. *Prospective authors are asked to notify the guest editors of their intention to submit a paper **to the special issu**e* by sending the title and a 200-word abstract to Se?n McLoone (s.mcloone at qub.ac.uk), to confirm the suitability of their contribution for the special issue and to receive submission instructions. Regards *Guest editors* Se?n McLoone, Queen?s University Belfast, Northern Ireland, s.mcloone at qub.ac.uk Kevin Guelton, University of Reims Champagne Ardenne, France, kevin.guelton at univ-reims.fr Thierry Guerra, University of Valenciennes and Hainaut-Cambresis, France, guerra at uphf.fr Gian Antonio Susto, University of Padova, Italy, gianantonio.susto at unipd.it Ju? Kocijan, Jo?ef Stefan Institute and University of Nova Gorica, Slovenia, jus.kocijan at ijs.si Diego Romeres, Mitsubishi Electric Research Laboratories, USA, romeres at merl.com -- ********************************************************************** Prof. Se?n McLoone Director, Centre for Intelligent Autonomous Manufacturing Systems (i-AMS) Director, Energy, Power and Intelligent Control Research Centre School of Electronics, Electrical Engineering and Computer Science Queen's University Belfast Ashby Building, Stranmillis Road Belfast BT9 5AH Tel: +44 (0) 28 9097 4125 Email:s.mcloone at qub.ac.uk Web:http://www.qub.ac.uk/icons2019 Web:http://www.qub.ac.uk/iams Web:http://www.qub.ac.uk/epic ********************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: EAAI_Special_Issue_Intelligent Control and Optimisation_Call_for_Papers.pdf Type: application/pdf Size: 242722 bytes Desc: not available URL: From hocine.cherifi at gmail.com Wed Apr 28 04:46:59 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 28 Apr 2021 10:46:59 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2021 Madrid Spain Message-ID: *10th** International Conference on Complex Networks & Their Applications* *Madrid, Spain *November 30 - December 02, 2021 COMPLEX NETWORKS 2021 You are cordially invited to submit your contribution until September 02, 2021. *SPEAKERS * ? Marc Barth?l?my CEA France ? Ginestra Bianconi Queen Mary University of London UK ? Jo?o Gama University of Porto Portugal ? Dirk Helbing ETH Z?rich Switzerland ? Yizhou Sun UCLA USA ? Alessandro Vespignani Northeastern University USA *TUTORIALS (November 29, 2021)* ? Elisabeth Lex Graz University of Technology Austria ? Giovanni Petri ISI Foundation Italy *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *ADVISORY BOARD* Jon Crowcroft *University of Cambridge, UK* Raissa D'Souza *UC Davis, USA* Eugene Stanley *Boston University, USA* Ben Y. Zhao *University of Chicago, USA* *PROGRAM CHAIRS* Chantal Cherifi *University of Lyon, France* Luis M. Rocha *Indiana University, USA* Marta Sales-Pardo *Universitat Rovira i Virgili, Spain* *LIGHTNING CHAIRS* Jes?s Gomez Garde?es *University of Zaragoza, Spain* Regino Criado* Universidad Rey Juan Carlos de Madrid, Spain* Huijuan Wang *TU Delft, Netherlands* *POSTER CHAIRS* Manuel Marques Pita *Universidade Lus?fona, Portugal* Taha Yasseri *University of Oxford, UK* Jos? Javier Ramasco *IFISC, Spain* *TUTORIAL CHAIRS* Luca Maria Aiello *Nokia-Bell Labs, UK* Leto Peel *Universit? Catholique de Louvain, Belgium* *SATELLITE CHAIR* Javier Galeano *Universidad Politecnica de Madrid, Spain* *PUBLICITY CHAIRS* Benjamin Renoust *Osaka University, Japan* Xiangjie Kong* Dalian* *University of Technology, China* *SPONSOR CHAIR* Roberto Interdonato *CIRAD, France* *STUDENT GRANT CHAIR* Sabrina Gaito *Universit? degli Studi di Milano, Italy* *PUBLICATION CHAIR* Matteo Zignani *Universit? degli Studi di Milano, Italy* *WEB CHAIR* Stephany Rajeh *University of Burgundy, France* *LOCAL COMMITTEE CHAIR* Juan Carlos Losada *Universidad Politecnica de Madrid, Spain* Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Apr 28 05:49:54 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 28 Apr 2021 11:49:54 +0200 Subject: Connectionists: CFP ComNets @Networks 2021 July 01, 2021 Message-ID: Communities in Networks July 01, 2021 An Online Workshop Satellite of Networks 2021 Submission deadline: May 17, 2021 Acceptance notification: May 30, 2021 *Invited Speakers * *Mark Newman* * University of Michigan, USA* *Tiago Peixoto* * Central European University, Hungary* *Martin Rosvall* * Ume? University, Sweden* *Renaud Lambiotte* * University of Oxford, U.K * Community structure is one of the most relevant features encountered in numerous real-world applications of networked systems. Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few years to characterize, model, and analyze communities, more investigations are needed in order to better understand the impact of their structure and dynamics on networked systems. Therefore, the primary goal of this satellite workshop is to demonstrate the cutting-edge research advances on community structures in networks, in order to provide a landscape of research progresses and application potentials in related areas. Papers ranging from a broad nature, to various aspects of community structure with strong algorithmic innovations, but also application-oriented works are solicited. Topics relevant to this satellite session include, but are not limited to, the following: Models of Communities Embedding Models of Communities Evolution/Temporal Communities Dynamic and/of Communities Community Detection Communities in Uncertain Data Entropy Metrics for Communities Visual Representation of Communities Parallel Algorithms for Communities Hierarchy and Ego-Networks Communities and Sampling Communities and Controllability Communities and Synchronization Communities and Machine Learning Communities and Resilience Communities and Link Prediction Communities in Social Networks Communities in Multiplex Communities in Economics & Finance Communities in Epidemics Communities in Rumor Spreading Communities in Mobile Networks Communities in Biological Networks Communities in Brain Communities in Technological Networks *CONTRIBUTION: * *Extended Abstracts* about published or unpublished research (2 to 4 pages including references). They must follow the BioMed Central article template available at: https://appliednetsci.springeropen.com/submission-guidelines/preparing-your-manuscript/research-articles *PUBLICATION: * Selected contributions will be invited to submit an extended version to a special issue of Applied Network Science edited by Springer *SUBMISSION WEBSITE* https://easychair.org/conferences/?conf=comnet2021 *ORGANIZERS* *Hocine Cherifi University of Burgundy, France* *Gergely Palla E?tv?s Lor?nd University, Hungary* *Boleslaw Szymanski, Rensselaer Polytechnic Institute, Troy, NY, USA* Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Wed Apr 28 06:06:33 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Wed, 28 Apr 2021 18:06:33 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021 - 3rd Call for papers Message-ID: <33d726ed.3046c.17917f1cd80.Coremail.jiangdm@nwpu.edu.cn> Call for Long and Short Papers *************************************** ACM ICMI 2021: Call for Long and Short Papers http://icmi.acm.org/2021/index.php?id=cfp 18-22 Oct 2021, Montreal, Canada *************************************** Call for Long, Short and Blue Sky Papers The 23rd ACM International Conference on Multimodal Interaction (ACM ICMI 2021) will be held in Montreal, Canada. ACM ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development. We are keen to showcase novel input and output modalities and interactions to the ICMI community. ACM ICMI 2021 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), Blue Sky papers, demonstrations, exhibits, doctoral spotlight papers, and late-breaking papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2021 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 We also want to welcome conference papers from behavioral and social sciences. These papers allow us to understand how technology can be used to increase our scientific knowledge and may focus less on presenting technical or algorithmic novelty. For this reason, the "novelty" criteria used during ICMI 2021 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2021 only need to be novel on one of these sub-criteria. In other words, a paper which is strong on scientific knowledge contribution but low on algorithmic novelty should be ranked similarly to a paper that is high on algorithmic novelty but low on knowledge discovery. - Scientific Novelty: Papers should bring some new knowledge to the scientific community. 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. This year's conference theme: In the past years and specially 2020, the questions of Behavioral Health and Virtual Connectivity have become central to our life. In particular, COVID-19 has disrupted our normal social life and interactions at work, bringing challenges but also opportunities to improve our team sociability and productivity. This situation calls for multimodal systems to enhance social and emotional remote interaction as well as to increase productivity during remote collaboration. Our behavioral health has been severely impacted the past months. The needs for non-intrusive sensing technology, smart environments (e.g., elderly home monitoring), wearable and assistive devices for rehabilitation, well-being and ageing population and multimodal interfaces to support behavioral changes have become a crucial necessity. As such, this year, ICMI welcomes contributions on our theme for Behavioral Health and Virtual Connectivity. 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 - Interaction with smart environment - Machine learning for multimodal interaction - Mobile multimodal systems - Multimodal behavior generation - Multimodal datasets and validation - Multimodal dialogue modeling - Multimodal fusion and representation - Multimodal interactive applications - Speech behaviors in social interaction - System components and multimodal platforms - Visual behaviours in social interaction - Virtual/augmented reality and multimodal interaction Blue Sky Papers ACM ICMI 2021 is pleased to partner with the Computing Community Consortium (CCC) to initiate a new Blue Sky paper track that emphasizes innovative, visionary, and high-impact contributions. This track solicits papers relevant to ICMI content that go beyond the usual research paper to present new visions that stimulate the ICMI community to pursue innovative new directions. They may challenge existing assumptions and methodologies, or propose new applications or theories. The papers are encouraged to present high-risk controversial ideas. Submitted papers are expected to represent deep reflection, to argue rigorously, and to present ideas from a high-level synthetic viewpoint (e.g., multidisciplinary, based on multiple methodologies). Submissions should be 4 pages, independent of references. The CCC will further distribute and publicize any papers published in this track, and they will sponsor awards to honor the first ($1,000), second ($750), and third ($500) place papers, in the form of travel grants. The submission deadline is the same with main conference papers. Important Dates Paper Submission: May 26, 2021 Reviews to authors: July 7, 2021 Rebuttal due: July 12, 2021 Paper notification: July 26, 2021 Camera-ready paper: August 16, 2021 Presenting at main conference: October 18-22, 2021 ------------------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Wed Apr 28 16:57:45 2021 From: mtanveer at iiti.ac.in (M Tanveer) Date: Thu, 29 Apr 2021 02:27:45 +0530 Subject: Connectionists: Postdoctoral research associate in machine/deep learning for medical imaging: Last Date: April 30, 2021 In-Reply-To: References: Message-ID: Dear All, An immediate opening for 2 years postdoctoral RA position in the OPTIMAL research lab (http://iiti.ac.in/people/~mtanveer/) at IIT Indore, India under the recently funded DST NSM (National Supercomputing Mission) project with a tentative starting date 3rd week of May, 2021. Please find the attached details regarding the project along with the essential and desirable qualification of the candidate. *The deadline of the application is 30th April, 2021* while the interview will take place in the first/second week of May, 2021. For any pre-application query, you are welcome to write to me (mtanveer at iiti.ac.in). With best regards, Tanveer ---------------------------------------------------------- Dr. M. Tanveer Associate Professor and Ramanujan Fellow Discipline of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: RA-Advt_04-2021.pdf Type: application/pdf Size: 482050 bytes Desc: not available URL: From lucas.bechberger at uni-osnabrueck.de Wed Apr 28 09:12:33 2021 From: lucas.bechberger at uni-osnabrueck.de (Lucas Bechberger) Date: Wed, 28 Apr 2021 15:12:33 +0200 Subject: Connectionists: Final Call for Abstracts CARLA 2021 Message-ID: <3cefb1f4-1ad7-e4f5-4417-23b3e1c45476@uni-osnabrueck.de> Final Call for Abstracts (Deadline: 16.05.2021)3rd International Workshop ?Concepts in Action: Representation, Learning, and Application?https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2021.html16.09.2021 & 17.09.2021, Bolzano & virtual Thefirst international workshop ?Concepts in Action: Representation, Learning, and Application? took place at theInstitute of Cognitive Science at Osnabr?ck University in 2018, followed by a virtual event as part of the Bolzano Summer of Knowledge (BOSK) in 2020. Following its great success, we are organizing a third international workshop ?Concepts in Action: Representation, Learning, and Application? (CARLA) in 2021. We invite the submission of abstracts to the workshop. Time and Venue: Date:16.09.2021 - 17.09.2021 Venue:Bolzano & virtual (hybrid event), co-located with FOIS 2021 (13.09.2021 - 16.09.2021) and ICCS 2021 (20.09.2021 - 23.09.2021). IMPORTANT:CARLA 2021 is currently planned to be conducted as a hybrid event allowing for both physical and virtual attendance. More information about how to attend will follow. Invited Talks: Monique Flecken , Max Planck Institute for Psycholinguistics, Nijmegen Antonio Lieto , Department of Computer Science, University Turin Call for Abstracts: "Concepts in Action: Representation, Learning, and Application" (CARLA) is an international workshop aimed at fostering interdisciplinary exchange about research on concepts. It invites contributions from all fields related to cognitive science, including (but not limited to) linguistics, artificial intelligence, psychology, philosophy, logic, and computer science. The workshop is open for research on any aspect of concepts, but there are three overarching topics that are of special interest with the following (not exhaustive) list of exemplary subtopics: * Representation: How can we formally describe and model concepts? o Conceptual Spaces, Conceptual Domains, Frames o Lexical Semantics and Pragmatics o Grounded Cognition, Embodiment, 4E Cognition * Learning: Where do concepts come from and how are they acquired? o Evolution of Concepts o Cross-Cultural and Social Aspects of Concepts o Developmental Psychology of Concepts * Application: How are concepts used in cognitive tasks? o Event Cognition o Artificial Agents o Concept Blending, Metaphors, Creativity This workshop provides an excellent opportunity to present and discuss ongoing research on concepts, both from theoretical/formal and applied/experimental viewpoints. We invite concept researchers from all fields related to cognitive science to submit abstracts to the workshop. Submission and Publication: We invite the submission of abstracts via EasyChair untilMay 16, 2021. Acceptance notifications will be sent out by June 16, 2021. The abstracts should use two to three pages (including references) and should be uploaded as pdf based on the following template (LaTeX or Word): LINK We will use the following EasyChair instance to collect and review the submissions: https://easychair.org/conferences/?conf=carla2021 Depending on the number and quality of the received submissions, selected contributions may be published after the workshop. More information on this will follow. More Information: You can find more information on our website: https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2021.html If you have any further questions, please feel free to contact us via concepts at uos.de . Organizers: Lucas Bechberger , Institute of Cognitive Science, Osnabr?ck University Viviana Haase, Institute for Philosophy II, Ruhr University Bochum Nicol?s Araneda Hinrichs, Institute for Applied Linguistics and Translatology, University Leipzig & Laboratory for Psycholinguistics, University Concepci?n Mingya Liu , Department of English and American Studies, Humboldt University of Berlin Alessandro Panunzi, Universit? degli Studi di Firenze; University of Florence Stefan Schneider , Faculty of Computer Science, Otto von Guericke University Magdeburg Corina Str??ner , Emmy Noether Group ?From perception to belief and back again?, Ruhr University Bochum Paola Vernillo, Universit? degli Studi di Firenze; University of Florence -- Lucas Bechberger Artificial Intelligence Research Group Institute of Cognitive Science Osnabr?ck University Wachsbleiche 27, Room 50/310 D-49090 Osnabr?ck Phone: +49-541-969-3400 E-Mail: lucas.bechberger at uni-osnabrueck.de Homepage: https://www.lucas-bechberger.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5406 bytes Desc: S/MIME Cryptographic Signature URL: From Fuat.Balci at umanitoba.ca Wed Apr 28 20:08:20 2021 From: Fuat.Balci at umanitoba.ca (Fuat Balci) Date: Thu, 29 Apr 2021 00:08:20 +0000 Subject: Connectionists: Assistant, Associate, or Professor position in Computational Cognition (University of Manitoba, Winnipeg, Canada) Message-ID: Department of Computer Science Faculty of Science University of Manitoba Winnipeg, Manitoba, Canada Assistant, Associate, or Professor in Computational Cognition Position #30384 The Department of Computer Science invites applications for one or more full-time tenured or tenure-track position at the Assistant, Associate, or Professor level, commencing July 1, 2022, or on a date mutually agreed upon. The Department seeks an emerging scholar with a commitment to excellence in teaching and research. Exceptional candidates at any level will also be considered. Candidates will complement or extend the Faculty?s strengths in machine learning, artificial intelligence, human-computer interaction, cognitive science, neuroscience and related areas. Outstanding candidates in any area of Computer Science will be considered. The successful candidate will have a Ph.D. and preferably post-doctoral experience or other distinguishing attributes in Computer Science or a related field. Duties will include undergraduate teaching in Computer Science, graduate teaching and supervision, research, including the establishment of an externally funded research program, and service-related activities. The successful candidate will have a track record of high quality scholarly research leading to peer assessed publications; will either have, or demonstrate the potential to establish, an independent, innovative, scholarly, externally fundable research program; will have demonstrated strength in or strong potential for outstanding teaching contributions; and will exhibit evidence of the ability to work in a collaborative environment. Salary and rank will be commensurate with experience and qualifications. To enrich our Department and create role models for a diverse population of students, we particularly invite application from those who can support and enhance our diversity, including women, Indigenous Peoples, persons with disabilities and racialized persons, and those committed to a diverse environment. The Department currently has 22 full time tenured and tenure track faculty members and 9 Instructors, and offers a full range of both undergraduate and graduate programs in Computer Science. Further information about the Department can be obtained from . Winnipeg is the largest city in the Province of Manitoba. The city has a rich cultural environment, including symphony, opera, dance, theatre, and ethnic festivals. The region provides ample opportunities for outdoor recreation in all seasons. Learn more about Winnipeg at . The University of Manitoba is strongly committed to equity and diversity within its community and especially welcomes applications from women, racialized persons, Indigenous peoples, persons with disabilities, persons of all sexual orientations and gender identities, and others who may contribute to the further diversification of ideas. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. Applications including a curriculum vitae, a description of teaching philosophy, a summary of research interests, a three page research plan and contact information for three references should be sent to (PDF files preferred). Please ensure to specify position number 30384 in the application. For further information contact the Search Committee Chair at . The closing date for receipt of applications is August 25, 2021. Application materials, including letters of reference, will be handled in accordance with the Freedom of Information and Protection of Privacy Act. Please note that curricula vitae may be provided to participating members of the search process. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Thu Apr 29 04:29:46 2021 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Thu, 29 Apr 2021 10:29:46 +0200 Subject: Connectionists: CfP ACAIN2021, Online & Onsite Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, October 4-8, 2021, The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK In-Reply-To: References: Message-ID: _______________________________________________________________ Call for Participation & Call for Papers (apologies for multiple copies) _______________________________________________________________ The 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, October 4-8, 2021, The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK W: https://acain2021.artificial-intelligence-sas.org E: acain at artificial-intelligence-sas.org FB: https://www.facebook.com/ACAIN.LakeDistrict/ Early Registration (Symposium & Course): by Monday August 9, 2021 https://acain2021.artificial-intelligence-sas.org/registration/ PAPER SUBMISSION DEADLINE: May 14 2021 https://acain2021.artificial-intelligence-sas.org/the-symposium/ https://easychair.org/conferences/?conf=acain2021 SCOPE & MOTIVATION: The ACAIN 2021 is an interdisciplinary event. It will be a special opportunity to hear about cutting-edge research by leading scientists in AI and Neuroscience. The two days of keynote talks and oral presentations (the ACAIN Symposium, 7-8 October,2021) will be preceded by lectures of leading scientists (the ACAIN Course, October 4-6,2021). 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 a more efficient synergy and cooperation between the two research communities. These are the goals of the International Course and Symposium ? ACAIN 2021, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2021 will be a special opportunity to hear about cutting-edge research by leading scientists in both fields. The two days of keynote talks and oral presentations (the Symposium) will be preceded by two days of lectures (the Course) for students and newcomers to this interdisciplinary field. Moreover, ICAN 2021 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. COURSE DESCRIPTION: https://acain2021.artificial-intelligence-sas.org/course-description/ LECTURERS: https://acain2021.artificial-intelligence-sas.org/course-lecturers/ Timothy Behrens, Nuffield Department of Clinical Neurosciences, University of Oxford, UK Topics: Computational Neuroscience, Behavioral Neuroscience, Decision Making, Learning Brain Connectivity Matthew Botvinick, DeepMind, UK Topics: Artificial Intelligence, Neuroscience, Cognitive Psychology, Cognitive Science Claudia Clopath, Computational Neuroscience Lab, Dept of Bioengineering, Imperial College London, UK Topics: Computational Neuroscience Ila Fiete, MIT, USA Topics: Theoretical neuroscience, Computational neuroscience, Neural coding Karl Friston, Institute of Neurology, University College London, UK & Wellcome Trust Centre for Neuroimaging Topics: Neuroscience Timothy Lillicrap, Google DeepMind & UCL, UK Topics: Computational Neuroscience Rosalyn Moran, Department of Neuroimaging, King?s College London, UK Topics: Computational Neuroscience Maneesh Sahani, Gatsby Computational Neuroscience Unit, University College London, UK Topics: Theoretical Neuroscience, Machine Learning Jane Wang, DeepMind, UK Topics: neural networks, cognitive neuroscience, meta-learning, deep reinforcement learning Tutorial Speaker(s) James C.R. Whittington, Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK More Speakers to be announced soon! SYMPOSIUM CALL FOR PAPERS: https://acain2021.artificial-intelligence-sas.org/the-symposium/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2021.artificial-intelligence-sas.org/program-committee/ Submission site: hhttps://easychair.org/conferences/?conf=acain2021 SPECIAL SESSION: https://acain2021.artificial-intelligence-sas.org/special-sessions/ "Free Will in Artificial Intelligence: What volition neuroscience says about free behaviour and implications for the design of autonomous artificial intelligence agents" Organizer and Chair: Catalin Mitelut, Center for Theoretical Neuroscience, Columbia University, New York, USA The human capacity for free will or volitional (i.e. voluntary) behaviour has intrigued scientists and philosophers for thousands of years. Over the last few decades, neuroscientists have uncovered many neural correlates of voluntary behaviours and identified several decision stages involving specific neuroanatomy and dynamics (Haggard 2008). While a reward-optimized decision framework lies at the core of most fast decisions it is supported by slower time-course motivational systems that identify long-term needs (e.g. feeding, offspring care; Maslow 1943, Kenrick 2010). In the absence of naturally evolved motivational drives, autonomous general artificial agents will require the design of motivational systems that will pose unique challenges to our understanding of free will while offering creative opportunities. This symposium seeks submissions focusing on extending evolutionary biology and the neuroscience of volition towards the design of internally motivated, freely behaving autonomous artificial agents. DEADLINES: * Paper Submission (if you want to submit a paper for the Symposium): May 14, 2021 (Anywhere on Earth). https://easychair.org/conferences/?conf=acain2021 * Notification of Decision for Papers (Symposium): by Friday July 30, 2021 * Early Registration (Symposium & Course): by Monday August 9, 2021 * Late Registration (Symposium & Course): from Tuesday August 10, 2021 * Oral/Poster Presentation Submission (Course): by Thursday July 15, 2021 * Notification of Decision for Oral/Poster Presentation (Course): by Friday July 30, 2021 ORGANIZING COMMITTEE: https://acain2021.artificial-intelligence-sas.org/organizing-committee/ VENUE & ACCOMMODATION: 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 You need to book your accommodation at the venue and pay the amount for accommodation, meals directly to the Wordsworth Hotel & SPA. The Form for accommodation, all meals (all breakfasts, lunches, dinners): TBA ACCOMMODATION: https://acain2021.artificial-intelligence-sas.org/accommodation/ ACTIVITIES: https://acain2021.artificial-intelligence-sas.org/activities/ WALKS: https://acain2021.artificial-intelligence-sas.org/walks/ REGISTRATION: https://acain2021.artificial-intelligence-sas.org/registration/ See you in 3D or 2D :) in Lake District in October! ACAIN 2021 Organizing Committee. E: acain at artificial-intelligence-sas.org FB: https://www.facebook.com/events/669587717185083/ W: https://acain2021.artificial-intelligence-sas.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Thu Apr 29 13:06:04 2021 From: suashdeb at gmail.com (Suash Deb) Date: Thu, 29 Apr 2021 22:36:04 +0530 Subject: Connectionists: Exactly 2 months away (ISCMI2021- Cairo) Message-ID: Dear esteemed colleagues, The deadline for submission of manuscripts for ISCMI21, our flagship event, is exactly 2 months away http://iscmi.us/ Trust you will (if not already) initiate the necessary steps accordingly. The decision pertaining to the nature of the conference - conventional/virtual will be arrived at very soon & uploaded at the web site of the conference. Thanks very much. Stay safe, Suash -------------- next part -------------- An HTML attachment was scrubbed... URL: From Andrea.Hasenstaub at ucsf.edu Thu Apr 29 14:16:28 2021 From: Andrea.Hasenstaub at ucsf.edu (Hasenstaub, Andrea) Date: Thu, 29 Apr 2021 18:16:28 +0000 Subject: Connectionists: Postdoc positions in Hasenstaub lab at UCSF Message-ID: Postdoc positions are available in the Hasenstaub lab at UCSF to work on multimodal integration in the mouse auditory cortex (1 or 2 positions) and on the mechanisms underlying transplant induced plasticity (1 position). ========== POST-DOCTORAL POSITIONS: CIRCUITRY SUPPORTING CROSS-MODAL INTERACTIONS IN THE MOUSE AUDITORY AND VISUAL CORTEX The Hasenstaub lab is seeking one or two creative, productive, and motivated postdoctoral fellows to join an NIH-funded research project to study the circuit bases of behavioral and neural cross-modal interactions in the auditory and visual cortices. Appointees will join a vibrant, interactive and diverse neuroscience community with frequent cross-group interactions including joint lab meetings, journal clubs, and many jointly mentored trainees. Ideal candidates will be self-motivated, curious, enthusiastic, prepared to work in a collaborative environment, and committed to rigorous, reproducible science. Experience in one or more of the relevant techniques is essential: these include behavioral training and psychophysical analyses, auditory and visual stimulus design, in vivo electrophysiology, in vitro patch clamp, theoretical and computational analysis, molecular circuit dissection tools (optogenetics, DREADDs, etc), and/or long-term manipulations of the sensory environment. Experience with transgenic mouse lines, single-cell sequencing methods, and histology/anatomy will be helpful but is not required. First-author publications (or manuscripts in press) are required, as well as interest and capacity to compete for postdoctoral fellowships. We welcome candidates from diverse backgrounds. If you are interested, please check out these recent publications: * ?Visual Information Present in Infragranular Layers of Mouse Auditory Cortex.? J Neurosci 2018 https://pubmed.ncbi.nlm.nih.gov/29440554/ * ?Cortical Interneurons Differentially Regulate the Effects of Acoustic Context.? Cell Rep. 2017 https://pubmed.ncbi.nlm.nih.gov/28746863/ * ?Movement and VIP Interneuron Activation Differentially Modulate Encoding in Mouse Auditory Cortex.? eNeuro, 2019 https://pubmed.ncbi.nlm.nih.gov/31481397/ To apply, please send CV and statement of interest to andrea.hasenstaub at ucsf.edu. ========== POST-DOCTORAL POSITIONS: MECHANISMS OF SENSORY PLASTICITY FOLLOWING INTERNEURON PRECURSOR TRANSPLANTATION The labs of Andrea Hasenstaub and Michael Stryker are seeking one or two creative, productive, and motivated postdoctoral fellows to join an NIH-funded research project to study the circuit and cellular basis of sensory plasticity following transplantation of embryonic interneuron precursors into the postnatal brain (a joint project with Arturo Alvarez-Buylla). Appointees will join a vibrant, interactive and diverse neuroscience community with frequent cross-group interactions including joint lab meetings, journal clubs, and many jointly mentored trainees. Ideal candidates will be self-motivated, curious, enthusiastic, prepared to work in a collaborative environment, and committed to rigorous, reproducible science. Experience in one or more of the relevant techniques is essential: these include in vivo electrophysiology, in vivo 2-photon imaging, in vitro patch clamp, theoretical and computational analysis, molecular circuit dissection tools (optogenetics, DREADDs, etc), and/or long-term manipulations of the sensory environment. Experience with transgenic mouse lines, single-cell sequencing methods, and histology/anatomy will be helpful but is not required. First-author publications (or manuscripts in press) are required, as well as interest and capacity to compete for postdoctoral fellowships. We welcome candidates from diverse backgrounds. If you are interested, please check out these recent publications: * ?Clustered gamma-protocadherins regulate cortical interneuron programmed cell death.? Elife, 2020 https://pubmed.ncbi.nlm.nih.gov/32633719/ * ?Transplanted Cells Are Essential for the Induction But Not the Expression of Cortical Plasticity?, J. Neurosci 2019 https://pubmed.ncbi.nlm.nih.gov/31391263/ * ?Vesicular GABA transporter is necessary for transplant-induced critical period plasticity in mouse visual cortex?, J. Neuroscience 2019 https://pubmed.ncbi.nlm.nih.gov/30705101/ * ?Development and long-term integration of MGE-lineage cortical interneurons in the heterochronic environment.? J. Neurophys, 2019 https://pubmed.ncbi.nlm.nih.gov/28356470/ * ?Caudal Ganglionic Eminence Precursor Transplants Disperse and Integrate as Lineage-Specific Interneurons but Do Not Induce Cortical Plasticity.? Cell Reports, 2016 https://pubmed.ncbi.nlm.nih.gov/27425623/ To apply, please send CV and statement of interest to andrea.hasenstaub at ucsf.edu and stryker at phy.ucsf.edu . ========== -------------- next part -------------- An HTML attachment was scrubbed... URL: From kc.w at cityu.edu.hk Thu Apr 29 12:14:19 2021 From: kc.w at cityu.edu.hk (Dr. Ka Chun WONG) Date: Thu, 29 Apr 2021 16:14:19 +0000 Subject: Connectionists: [CFP] ISMSI 2022 : International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence Message-ID: Dear All, http://ismsi.org/ Welcome to the 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2022). The Conference is organized by India International Congress on Computational Intelligence (IICCI) (www.iicci.in) and will be held in Seoul, Republic of Korea during April 9-10, 2022. The main objective of ISMSI 2022 is to present the latest research and results of scientists related to Intelligent Systems, Metaheuristics & Swarm Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields. Given the global situation of covid-19 pandemic, online participation remains an option for the participants who have trouble attending the conference physically because of the travel restrictions. Accepted Papers after registration and presentation at ISMSI 2022 will be published in International Conference Proceedings, which will be indexed by Ei Compendex, Scopus, and submitted to be reviewed by Thomson Reuters (ISI Web of Science). European Journal of Operational Research, an Elsevier Publication [SCIE indexed, 2019 lmpact Factor : 4.213, 5 Year Impact Factor: 4.729 ], will consider for publication a few selected expanded papers of lSMSl22 in its usual reviewing process. A special issue of "Neural Computing & Applications", a Springer Publication [SCIE indexed, 2019 lmpact Factor: 4.774, 5 Year Impact Factor: 4.627; ISSN: 0941-0643 (print version) ISSN: 1433-3058 (electronic version)], will publish a selected set of extended versions of ISMSI22 papers (to be shortlisted after the conference), after the usual reviewing of those papers. Topics of interest for submission include, but are not limited to: Algorithmic Intelligence in Optimisation, Control and Design Approximate and exact algorithms for Combinatorial and Continuous Optimisation Cuckoo Search Wolf Search Algorithm Elephant Search Algorithm Monarch Butterfly Algorithm Particle swarm optimisation Artificial bees and fireflies algorithm Bacterial foraging optimisation Ant colony optimisation Swarm Intelligence Swarm robotics Review and comparative studies of swarm intelligence techniques Theory and practice of swarm intelligence methods in different domains Real-world problem solving using swarm intelligence method Self-organisation, Self-Assembly, Self-Generation, Self-Healing of artificial systems Neural networks Evolutionary Dynamics Memetic Theory Artificial Cultures in multi-agent systems, webbots and robots Landscape Analysis Methodological aspects of experimental computing Search based Software Engineering Artificial immune systems Glow worm swarm optimisation Genetic Programming Constraint Optimisation Real-world applications Machine learning and Data Mining Hybrid (Parallel) Metaheuristics such as Tabu Search, Path relinking, Scatter Search, GRASP methods, Iterated Local Search, Simulated annealing, Variable Neighborhood Search, Evolutionary Algorithms, Learning Classifier Systems, Memetic Algorithms, Cultural Algorithms, etc. Submission Methods 1.Full Paper (Presentation and Publication) Accepted full paper will be invited to give the oral presentation at the conference and be published in the conference proceeding. 2.Abstract (Presentation only) Accepted abstract will be invited to give the oral presentation at the conference, the presentation will not be published. Please log in the Electronic Submission System; ( .pdf only) to submit your full paper and abstract. For any inquiry about the conference, please feel free to contact us at: sub at ismsi.org. Page Requirement Each paper should have no less than 4 pages normally, including all figures, tables, and references. One regular registration is within FIVE Pages. Extra pages will be charged. Important Dates Registration Deadline January 05th, 2022 Conference Dates April 09-10, 2022 Submission Requests All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated. If an author is found to commit an act of plagiarism, the following acts of sanction will be taken: 1. Reject the article submitted or delete the article from the final publications. 2. Report the authors violation to his/her supervisor(s) and affiliated institution(s) 3. Report the authors violation to the appropriate overseeing office of academic ethics and research funding agency. 4. Reserve the right to publish the authors name(s), the title of the article, the name(s) of the affiliated institution and the details of misconduct, etc. of the plagiarist". Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong BEng, MPhil (CUHK), PhD (Toronto) Department of Computer Science City University of Hong Kong kc.w at cityu.edu.hk Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kripa.ghosh at gmail.com Fri Apr 30 01:04:23 2021 From: kripa.ghosh at gmail.com (Kripa Ghosh) Date: Fri, 30 Apr 2021 10:34:23 +0530 Subject: Connectionists: CFP: Symposium on Artificial Intelligence and Law (SAIL) Message-ID: [apologies for cross-posting ] *Symposium on Artificial Intelligence and Law (SAIL)* 31 May - 04 June, 2021 | Virtual event https://sites.google.com/view/sail-2021/ CALL FOR PARTICIPATION The Symposium on Artificial Intelligence and Law (SAIL) aims to bring together experts from Industry and Academia to discuss the future of AI and Law. The Symposium aims to provide a venue for academic and industrial/governmental AI-Law researchers and law professionals to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of AI in the Legal Domain. The Symposium is organized by Computer Science and AI researchers from IIT Kharagpur, IIT Kanpur, IISER Kolkata, TCG CREST (all from India) and CSIRO Australia, and Law researchers from the WB National University of Juridical Sciences (WBNUJS) and Vidhi Centre for Legal Policy, India. Details of organizers can be found on the website. == Invited talks == The symposium will have invited talks from eminent Law-AI researchers from both academia and industry (details available on the symposium website): * Kevin Ashley -- Professor of Law and Intelligent Systems, University of Pittsburgh, USA * Maura Grossman -- Professor, University of Waterloo; Adjunct Professor at Osgoode Hall Law School, USA * Jack G. Conrad -- Director and Lead Researcher, Center for AI and Cognitive Computing, Thomson Reuters, USA * Lyria Bennett Moses -- Director of the Allens Hub for Technology, Law and Innovation; Professor in the Faculty of Law and Justice at UNSW Sydney, Australia * Christoph Sorge -- Professor of Legal Informatics, University of Saarland, Germany * Dave Lewis -- Executive Vice President for AI Research and Ethics at Reveal-Brainspace, USA * Adam Wyner -- Faculty of Law and Computer Science, Hillary Rodham Clinton School of Law, Swansea University, UK * Guido Governatori -- Group Leader, Software Systems Research Group, CSIRO, Australia * Sachin Kumar -- Senior Data Scientist at LexisNexis, Raleigh, North Carolina, USA * Arthur Dyevre -- Faculty of Empirical Jurisprudence, KU Leuven, Belgium * Shiri Krebs -- Faculty, Deakin Law School, Australia * Suzan Verberne -- Group leader of Text Mining & Retrieval, Leiden University, Netherlands * Angshuman Hazarika -- Faculty, IIM Ranchi, India; Doctor of Law, Saarland Uni, Germany * Matthias Grabmair -- Faculty, LegalTech, TU Munich, Germany; Adjunct Professor, CMU LTI * Sshubham Joshi -- Founder, Lawnics, India == Panel Discussions == The symposium will have panel discussions on the future of AI and Law, with a special focus on the Law-AI scenario in India. Details will be uploaded on the website. == Participation == The symposium will be fully online. Anyone interested in Law or application of AI in the legal domain is welcome to attend. Participation is free of cost, but prior registration is necessary. Interested participants need to register themselves on the symposium website https://sites.google.com/view/sail-2021/ (under the "Participate" tab). Kind Regards, *Kripabandhu Ghosh* Co-organizer SAIL -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Thu Apr 29 09:56:47 2021 From: interdonatos at gmail.com (Roberto Interdonato) Date: Thu, 29 Apr 2021 15:56:47 +0200 Subject: Connectionists: CfP DSAA 2021 Special Session : Data Science Approaches for Modeling, Analyzing and Mining Networks on Networks Message-ID: ****** Apologies for any cross-posting ****** -------------------------------------------------------------- CALL FOR PAPERS Special Session on Data Science Approaches for Modeling, Analyzing and Mining Networks on Networks to be held on October 6-9 (Online Event) co-located with DSAA 2021 https://lipn.fr/dsaa21/ -------------------------------------------------------------- Important Dates: ================ ** Submission Deadline: 23 May 2021 ** Notification of Acceptance: 25 July 2021 ** Camera-Ready Versions Due: 8 August 2021 Objectives: =========== Structures built upon great quantities of networked entities, such as computer networks and social networks, have an undeniable central role in our everyday life. The need to study these complex real-world topologies, together with the growing ability to carry out these studies thanks to technological advances, recently made the use of complex network models pervasive in many disciplines such as computer science, physics, social science, as well as in interdisciplinary research environments. A special focus among others can be made on cyber-physical networks, which refers to multi-layer networks depicting at least two related sets of interactions of different types; some occur in the physical world while others take place in the cyberspace. Social systems, with the ubiquitous use of on-line social media combined with the ubiquitous use of connected devices (smart phones, connected objects) are one obvious example of targeted systems. Modern critical infra-structure systems such as power grids, public transportation systems, financial networks, the World Wide Web and the Internet are further additional examples. In all these different systems, cyber and physical layers evolve at different paces but the evolution of one layer is tightly influencing the dynamic of and on other layers. We use the term Networks on Networks to designate the fact that even if each network (or layer) can be studied separately as frequently done today, our goal is to study the mutual influence among different layers of the same cyber-physical network. The aim of this special session, is to get an insight into the current status of research in network on networks modeling, analysis and mining, showing how modeling information in Networks on Networks can make it possible to focus on domains and research questions that have not been deeply investigated so far and to improve solutions to classic tasks. We encourage contributions on methods and techniques that are both domain-specific but also transversal to different application domains. We will consider the two main aspects of network analysis: modeling and knowledge discovery. The session should point out this differentiation, and enforce the interaction between researchers from different domains. In particular, we solicit contributions that aim to focus on the analysis of networks on networks, addressing important principles, methods, tools and future research directions in this emerging field. The special session will increase the visibility of the above research themes, and will also bridge research tasks from different fields of data science. Even though the focus is on computer science, the themes of the special session also encourage interdisciplinary discussion about topics touching different fields such as physics, social science and humanities. Overall, we are interested in receiving papers related to the following topics which include but are not limited to: ? Foundations of Learning and Mining in Networks on Networks ? Layer Correlation in Networks on Networks ? Centrality and Ranking in Networks on Networks ? Community Detection in Networks on Networks ? Link Prediction in Networks on Networks ? Simplification/pruning/sampling of Networks on Networks ? Embedding and Deep Learning in Networks on Networks ? Visualization of Networks on Networks ? Pattern mining in Networks on Networks ? Probabilistic and Uncertain Networks on Networks ? Domain-driven applications The special session will in particular target applications in areas related to: ? agricultural monitoring ? cyber-physical systems ? cyber-security ? environmental analytics ? human sensing ? industrial risk studies ? landscape analysis Submissions: ============ All submitted papers must be written in English. The paper length allowed for papers submitted to the special session is a maximum of ten (10) pages. The format of papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: https://www.ieee.org/conferences/publishing/templates.html for further information and instructions. All submissions will be double-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?2021. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA?2021 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. Papers that appear in arXiv from the DSAA?2021 submission deadline until the review process has ended, will be rejected without reviews. Authors are also encouraged to support their papers by providing through a git-type public repository the code and data to support the reproducibility of their results. Workshop Organizers: ==================== Martin Atzmueller, Osnabr?ck University Roberto Interdonato, CIRAD, Montpellier Rushed Kanawati, University Sorbonne Paris Nord -------------- next part -------------- An HTML attachment was scrubbed... URL: From RoigNoguera at em.uni-frankfurt.de Fri Apr 30 10:40:58 2021 From: RoigNoguera at em.uni-frankfurt.de (Gemma Roig) Date: Fri, 30 Apr 2021 16:40:58 +0200 Subject: Connectionists: The Algonauts Project 2021 Challenge- How the Human Brain Makes Sense of a World in Motion Message-ID: <5B322258-6348-4FDF-8CD0-2D0DA20D95AE@em.uni-frankfurt.de> Dear colleagues, We are pleased to announce a new challenge sponsored by The Algonauts Project : How the Human Brain Makes Sense of a World in Motion. We invite you to join us in a competition to develop the best computer model of how the human brain perceives videos of everyday events. Participants who come up with a model that most closely matches recorded brain data will be invited to present their work at a virtual workshop on Sept. 7, 2021 at this year?s Conference on Cognitive Computational Neuroscience (CCN ). Submission deadline: Aug. 15, 2021. The Algonauts Project: http://algonauts.csail.mit.edu/ CCN Workshop: How the Human Brain Makes Sense of a World in Motion Sept. 7, 2021 Organizers will summarize the outcome and provide hands-on tutorials. Challenge winners will present the results of their work. We look forward to seeing you at the workshop in September, and we hope you will consider joining the challenge! Best wishes, The Algonauts Project Team Algonauts 2021 Project Team: Radoslaw Cichy, Freie Universit?t Berlin Aude Oliva, Massachusetts Institute of Technology Gemma Roig, Goethe University Frankfurt Alex Andonian, Massachusetts Institute of Technology Kshitij Dwivedi, Goethe University Frankfurt Monika Graumann, Freie Universit?t Berlin Polina Iamshchinina, Freie Universit?t Berlin Kendrick Kay, University of Minnesota Benjamin Lahner, Massachusetts Institute of Technology Alex Lascelles, Massachusetts Institute of Technology N Ratan Murty, Massachusetts Institute of Technology -------------- next part -------------- An HTML attachment was scrubbed... URL: From hrvoje.stojic at protonmail.com Fri Apr 30 19:39:27 2021 From: hrvoje.stojic at protonmail.com (Hrvoje Stojic) Date: Fri, 30 Apr 2021 23:39:27 +0000 Subject: Connectionists: Research placement positions at Secondmind Message-ID: Dear all We have just opened five research placement positions at [Secondmind Labs](https://www.secondmind.ai/labs/), based in Cambridge, United Kingdom. The overall area for the placements is Gaussian process models and Bayesian optimisation. The placements are three months long and are typically targeted at PD candidates. More details, including some placement proposals, can be found [here](https://boards.greenhouse.io/secondmind/jobs/5205946002). Note that it is also possible for applicants to propose their own topics for the placement. Kind regards, Hrvoje ----------------------------- Hrvoje Stojic, PhD Web: [https://hstojic.re/](http://hstojic.re/) -------------- next part -------------- An HTML attachment was scrubbed... URL: From auffarth at gmail.com Fri Apr 30 13:15:28 2021 From: auffarth at gmail.com (Benjamin Auffarth) Date: Fri, 30 Apr 2021 18:15:28 +0100 Subject: Connectionists: Artificial Intelligence with Python Cookbook Message-ID: Dear Colleagues I am writing to call your attention to my book on Artificial Intelligence, which could either serve as course material in graduate classes or as a practical compendium of problem-solving through AI and machine learning in the Python programming language. The book deals with a set of topics that's much broader than most other similarly themed books, everything is very hands-on and comes with code, and I've attempted to get as close as possible to the state-of-the-art in every application. I was able to incorporate a lot of my experience since switching to the industry from neuroscience. Here's the link: https://www.amazon.com/Artificial-Intelligence-Python-Cookbook-algorithms/dp/1789133963 The feedback has been very positive so far (please also see the reviews). I am including some information from the dust jacket. *Work through practical recipes to learn how to solve complex machine learning and deep learning problems using Python* Key Features - Get up and running with artificial intelligence in no time using hands-on problem-solving recipes - Explore popular Python libraries and tools to build AI solutions for images, text, sounds, and images - Implement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree search, and much more Book Description Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research. Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you'll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you'll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems. By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production. What you will learn - Implement data preprocessing steps and optimize model hyperparameters - Delve into representational learning with adversarial autoencoders - Use active learning, recommenders, knowledge embedding, and SAT solvers - Get to grips with probabilistic modeling with TensorFlow probability - Run object detection, text-to-speech conversion, and text and music generation - Apply swarm algorithms, multi-agent systems, and graph networks - Go from proof of concept to production by deploying models as microservices - Understand how to use modern AI in practice Who this book is for This AI machine learning book is for Python developers, data scientists, machine learning engineers, and deep learning practitioners who want to learn how to build artificial intelligence solutions with easy-to-follow recipes. You'll also find this book useful if you're looking for state-of-the-art solutions to perform different machine learning tasks in various use cases. Basic working knowledge of the Python programming language and machine learning concepts will help you to work with code effectively in this book. Table of Contents 1. Getting Started with Artificial Intelligence in Python 2. Advanced Topics in Supervised Machine Learning 3. Patterns, Outliers, and Recommendations 4. Probabilistic Modeling 5. Heuristic Search Techniques and Logical Inference 6. Deep Reinforcement Learning 7. Advanced Image Applications 8. Working with Moving Images 9. Deep Learning in Audio and Speech 10. Natural Language Processing 11. Artificial Intelligence in Production ---- -------------- next part -------------- An HTML attachment was scrubbed... URL: From gunnar.blohm at gmail.com Fri Apr 30 13:05:21 2021 From: gunnar.blohm at gmail.com (Gunnar Blohm) Date: Fri, 30 Apr 2021 13:05:21 -0400 Subject: Connectionists: NMA application deadline approaching! Message-ID: <990e0d7f-87d8-6921-3be6-a54812cd2394@queensu.ca> Applications for the Neuromatch Academy Computational Neuroscience (NMA-CN) and Deep Learning (NMA-DL) courses are approaching fast. Deadline: *May 7, 2021*! Apply as a student or paid teaching assistant ($1,500 USD). Fore more details, please see here: https://academy.neuromatch.io/ -- Dr. Gunnar BLOHM Neuroscience Graduate Coordinator Professor in Computational Neuroscience Queen's U, Kingston, ON, 18 Stuart Str, Botterell Hall Rm 229 http://www.compneurosci.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From gracewlindsay at gmail.com Fri Apr 30 11:26:35 2021 From: gracewlindsay at gmail.com (Grace Lindsay) Date: Fri, 30 Apr 2021 16:26:35 +0100 Subject: Connectionists: Numerous Numerosity Online Conference, May 24-28 Message-ID: On behalf of the organizers: Carlos Zapata Carratal? (University of Edimburgh) Laura Gonz?lez Salmer?n (University of Oxford) ***Numerous Numerosity Online Conference, May 24-28*** The aim of this event is to foster scientific cross-pollination by bringing together researchers from diverse areas of expertise across philosophy, mathematics, cognitive science, and more to discuss issues around how numerical information is processed and used. The main event will consist of a series of plenary talks by invited speakers followed by moderated discussion sessions. The main event will be followed by a three-day workshop where young researchers will have the opportunity to engage in a friendly, collaborative environment. Those wishing to join the main event must apply here : https://docs.google.com/forms/d/e/1FAIpQLScW2XXFwUJU1ILrSTOohYz8QaRdXeY0lJyRxyGBqRXLvcYoiw/viewform by May 16 Those interested in the follow-up workshop must apply here : https://docs.google.com/forms/d/e/1FAIpQLSd3G5UK_hyejHUB-9vk6GFIWMByOSdVKN-4Z4gBL6PzSkwq4w/viewform by May 9 The event will be livestreamed on YouTube. For more information: https://semf.org.es/numerosity/ -------------- next part -------------- An HTML attachment was scrubbed... URL: