From kc.w at cityu.edu.hk Mon Jun 1 06:17:45 2020 From: kc.w at cityu.edu.hk (Dr. Ka Chun WONG) Date: Mon, 1 Jun 2020 10:17:45 +0000 Subject: Connectionists: =?utf-8?q?=5BDeadline_Extended_to_28th_June_2020!?= =?utf-8?q?=5D_ICONIP=2720_Full_Call=E2=80=8B_for_Papers?= Message-ID: [Deadline Extended to 28th June 2020!] ICONIP'20 Full Call? for Papers ? [Deadline Extended to 28th June 2020]? ? ICONIP'20 Full Call? ? # Content? The 27th International Conference on Neural Information Processing (ICONIP2020) aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progresses and achievements.? ? ICONIP2020 will be held during November 18 - November 22, 2020 and will be collocated with several events, including ACML, iSAI-NLP, JIST-KG, and AIoT.? ? # Topics? ICONIP2020 will deliver keynote speeches, invited talks, full paper presentations, posters, tutorials, workshops, social events, etc. Topics include but are not limited to:? A. Theory and Algorithms? A1. Causality and explainable AI? A2. Computational intelligence? A3. Control and decision theory? A4. Constraint and uncertainty theory? A5. Machine learning? A6. Neurodynamics? A7. Neural network models? A8. Optimization? A9. Pattern recognition? A10. Time series analysis? B. Computational and Cognitive Neurosciences? B1. Affective and cognitive learning? B2. Biometric systems/interfaces? B3. Brain-machine interface? B4. Computational psychiatry? B5. Decision making and control? B6. Neuroeconomics? B7. Neural data analysis? B8. Reasoning and consciousness? B9. Sensory perception? B10. Social cognition? C. Human Centered Computing? C1. Bioinformatics? C2. Biomedical information? C3. Healthcare? C4. Human activity recognition? C5. Human-centred design? C6. Human?computer interaction? C7. Neuromorphic hardware? C8. Recommender systems? C9. Social networks? C10. Sports and rehabilitation? D. Applications? D1. Big data analysis? D2. Computational finance? D3. Image processing and computer vision? D4. Data mining? D5. Information security? D6. Information retrieval? D7. Multimedia information processing? D8. Natural language processing? D9. Robotics and control? D10. Web search and mining? ? # Important Dates? ## Conference Track? * Paper Submission Deadline: June 28, 2020? * Paper Notification Date: August 15, 2020? * Paper Camera-Ready Deadline: September 15, 2020? ? # Paper Information? Papers should be written in English and follow the Springer LNCS format. Paper submissions are single-blind review, so author names can be shown in the submission. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity.? ? The Proceedings will be published in the Springer?s series of Lecture Notes in Computer Science. Selected papers will be reviewed and published in some special issues of SCI journals.? ? Final papers after acceptance will normally be 10 pages with a maximum of 12 pages in length. The page count includes everything, including references and appendices. Please follow Springer?s proceedings LaTeX templates provided in Overleaf (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer-science/kzwwpvhwnvfj#.WuA4JS5uZpi).? ? # Submission site? * https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2Ficonip2020? ? # Conference site? * http://iconip2020.apnns.org/? ? # Organizing Committee? * Honorary Co-Chairs? * Jonathan Chan, King Mongkut?s University of Technology Thonburi, Thailand? * Irwin King, The Chinese University of Hong Kong, Hong Kong? * General Co-Chairs? * Andrew Leung, City University of Hong Kong, Hong Kong? * James Kwok, The Hong Kong University of Science and Technology, Hong Kong? * Program Co-Chairs? * Haiqin Yang, Ping An Life, China? * Kitsuchart Pasupa, King Mongkut's Institute of Technology Ladkrabang, Thailand? * Local Arrangements Co-Chairs? * Vithida Chongsuphajaisiddhi, King Mongkut University of Technology Thonburi, Thailand? * Finance Co-Chairs? * Vajirasak Vanijja, King Mongkut's University of Technology Thonburi, Thailand? * Seiichi Ozawa, Kobe University, Japan? * Special Sessions Co-Chairs? * Kaizhu Huang, Xi'an Jiaotong Liverpool University, China? * Raymond Chi-Wing Wong, The Hong Kong University of Science and Technology, Hong Kong? * Tutorial Co-Chairs? * Zenglin Xu, Harbin Institute of Technology, Shenzhen, China? * Jing Li, The Hong Kong Polytech University, Hong Kong? * Proceedings Co-Chairs? * Xinyi Le, Shanghai Jiao Tong University, China? * Jinchang Ren, University of Strathclyde, United Kingdom? * Publicity Co-Chairs? * Zeng-Guang Hou, Institute of Automation, Chinese Academy of Sciences, China? * Ka-Chun Wong, City University of Hong Kong, Hong Kong 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 ludovico.montalcini at gmail.com Mon Jun 1 08:18:02 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 1 Jun 2020 14:18:02 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Papers=3A_The_6th_Internationa?= =?utf-8?q?l_Conference_on_Machine_Learning=2C_Optimization_=26_Dat?= =?utf-8?q?a_Science_=E2=80=93_July_19-23=2C_2020_=E2=80=93_Certosa?= =?utf-8?q?_di_Pontignano=2C_Siena=2C_Italy_-_Paper_Submission_Dead?= =?utf-8?q?line=3A_June_4_=28this_Thursday=29?= Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees. The 6th International Conference on Machine Learning, Optimization, and Data Science ? July 19-23, 2020 ? Certosa di Pontignano, Siena ? Tuscany, Italy An multidisciplinary Conference: Machine Learning, Optimization, Big Data & Artificial Intelligence without Borders >From 2015, the LOD Conference brings academics, researchers and industrial researchers together in a unique multidisciplinary community to discuss the state of the art and the latest advances in the integration of machine learning, optimization and data science to provide the scientific and technological foundations for interpretable, explainable and trustworthy AI adopting, from 2017, the Asilomar AI Principles. The 6th Annual Conference on machine Learning, Optimization and Data science (LOD) is a international conference on machine learning, computational optimization, data science that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers. The International Conference on Machine Learning, Optimization, and Data Science (LOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences. We invite submissions of papers, abstracts, posters and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference proceedings ? Springer Lecture Notes in Computer Science. LOD 2020 an On-Site & On-Line Conference! After numerous discussions, we have concluded that holding the event this year in mixed form both in presence (like previous editions) and virtual is more advantageous than postponing it until next year. In order to accommodate a large number of situations and constraints, we are offering the option for either physical presence or virtual participation. We would be delighted if all authors and participants manage to attend, but are aware that special circumstances are best handled by having flexible options. The Conference, hence, will be held in presence with virtual rooms for authors and participants using remote connection (e.g., Zoom or MS Teams). The online lectures (e.g., live presentations and/or recorded ones) will be made possible. W: https://lod2020.icas.xyz E: lod at icas.cc EC: https://easychair.org/conferences/?conf=lod2020 FB: https://www.facebook.com/groups/2236577489686309/ News: https://lod2020.icas.xyz/category/news/ Important Date: * Paper Submission Deadline: June 4 ? Anywhere on Earth. * Early Registration: June 30 KEYNOTE SPEAKERS: * Pierre Baldi, University of California Irvine, USA Talk: TBA * Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Nando de Freitas, Google DeepMind, London, UK & Oxford University, UK Talk: TBA * Marco Gori, University of Siena, Italy Talk: TBA * Marta Kwiatkowska, University of Oxford, UK Talk: TBA (online talk) * Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany Talk: Machine Learning of Robot Skills (online talk) * Panos Pardalos, University of Florida, USA Talk: Inverse Combinatorial Optimization Problems * Tomaso Poggio, MIT, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Raniero Romagnoli, Almawave, Italy Talk: NLP for Close Domain Applications with Real World Data: an hybrid approach to jointly leverage prior domain knowledge, reasoning techniques and deep learning * Cristina Savin, Center for Neural Science, New York University, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Tali Tishby, The Hebrew University, Israel LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA More Keynote Speakers Coming soon! Tutorial Speakers * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Vincenzo Sciacca, Almawave, Italy Tutorial on "Natural Language Processing and Deep Learning" More Tutorial Speakers Coming soon! SATELLITE WORKSHOPS I) Satellite Workshop on "Biologically Plausible Learning" on July 19 https://lod2020.icas.xyz/workshop-on-biologically-plausible-learning/ Chair: Marco Gori, University of Siena, Italy Keynote Speaker: * Pierre Baldi, University of California Irvine, USA * Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 * Tomaso Poggio, MIT, USA * Cristina Savin, Center for Neural Science, New York University, USA * Tali Tishby, The Hebrew University, Israel Paper Submission Deadline: June 4 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 II) Workshop on ?Integrative Machine Learning? Chair: Marco Gori, University of Siena, Italy https://lod2020.icas.xyz/workshop-on-integrative-machine-learning/ Paper Submission Deadline: June 4 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 SPECIAL SESSIONS: https://lod2020.icas.xyz/special-sessions/ * Big data in Economics and Finance Organized by the Big Data and Forecasting of Economic Developments project (bigNOMICS) of the Centre for Advanced Studies of the European Commission, Joint Research Centre. Chairs: Sergio Consoli, Luca Barbaglia, Luca Tiozzo Pezzoli * Industrial Session Chairs: Vincenzo Sciacca ? Almawave, Giovanni Giuffrida ? Neodata. * Special Session on Explainable Artificial Intelligence Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. https://robotics.sciencemag.org/content/4/37/eaay7120 * Multi-Objective Optimization (MOO) & Multi Criteria Decision Aiding (MCDA) * The 7 Special Sessions on Machine Learning Multi-Task Learning Reinforcement Learning Deep Learning Generative Adversarial Networks Deep Neuroevolution Networks with Memory Learning from Less Data and Building Smaller Models * The 7 Special Session on Data Science and Artificial Intelligence Simulation Environments to understand how AI Systems Learn Chatbots and Conversational Agents Data Science at Scale & Data in the Cloud Urban Informatics & Data-Driven Modelling of Complex Systems Data-centric Engineering Data Security, Traceability of Information & GDPR Economic Data Science Special Session Paper Submission Deadline: June 4 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 BEST PAPER AWARD Springer sponsors the LOD 2020 Best Paper Award with a cash prize of 1,000 Euro. https://lod2020.icas.xyz/best-paper-award/ PROGRAM COMMITTEE 500+ confirmed PC members! Breaking the record of the last edition of LOD! https://lod2020.icas.xyz/program-committee/ BIG DATA CHALLENGE Our sponsor, Neodata Lab, will offer a prize of ?2000 to the applicant who develops the most accurate algorithm to process the following problem. https://lod2020.icas.xyz/lod-2020-challenge/ See you in Siena next July! Best regards, LOD 2020 Organizing Committee W: https://lod2020.icas.xyz E: lod at icas.cc EC: https://easychair.org/cfp/LOD2020 FB: https://www.facebook.com/groups/2236577489686309/ T: https://twitter.com/TaoSciences L: https://www.linkedin.com/groups/12092025/ News: https://lod2020.icas.xyz/category/news/ * Apologies for multiple copies. Please forward to anybody who might be interested * Past Editions https://lod2020.icas.xyz/past-editions/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabien.wagner at u-bordeaux.fr Mon Jun 1 09:56:44 2020 From: fabien.wagner at u-bordeaux.fr (Fabien Wagner) Date: Mon, 1 Jun 2020 15:56:44 +0200 (CEST) Subject: Connectionists: Postdoctoral position in the Neuromodulation and Neuroprosthetics team Message-ID: <1550439987.3338609.1591019804725.JavaMail.zimbra@u-bordeaux.fr> Postdoctoral position in the Neuromodulation and Neuroprosthetics team, led by Dr. Fabien Wagner, at the Institute of Neurodegenerative Diseases, University of Bordeaux, France Our team develops new neuromodulation paradigms and neuroprosthetic systems for repairing or replacing circuit-level functions that get disrupted after neurological disorders or injury. Our research combines techniques from Neuroscience and Neuroengineering , in particular in vivo electrophysiology, signal processing, machine learning and control engineering. We are specifically interested in expanding neuroprosthetic systems from motor to cognitive disorders. In particular, we aim at developing a large-scale brain network neuroprosthesis to restore memory after brain injury or neurodegenerative diseases such as Alzheimer?s disease. To strengthen our team, we are looking to hire a motivated postdoctoral researcher, who will be expected to work on multielectrode recordings and electrical stimulation of large-scale memory networks in non-human primates performing cognitive tasks. The ideal candidate should have expertise in non-human primate electrophysiology, neurostimulation, memory disorders, brain-machine interfaces, or neuroprosthetics. This highly interdisciplinary project requires both experimental and analytical skills, and will be conducted in collaboration with other team members. The position is currently funded for a duration of 3 years. Interested applicants should send their CV to the principal investigator at : [ mailto:fabien.wagner at u-bordeaux.fr | fabien.wagner at u-bordeaux.fr ] . Keywords : neuromodulation, neuroprosthetics, neuroengineering, brain stimulation, brain-machine interfaces, memory, cognition. --- Fabien Wagner, Ph.D. Team leader: Neuromodulation and Neuroprosthetics Institut des Maladies Neurod?g?n?ratives - CNRS UMR 5293 Universit? de Bordeaux Centre Broca Nouvelle-Aquitaine - 3?me ?tage 146 rue L?o Saignat - CS 61292 - Case 28 33076 Bordeaux cedex [ http://www.imn-bordeaux.org/en/teams/neuromodulation-and-neuroprosthetics/ | www.imn-bordeaux.org/en/teams/neuromodulation-and-neuroprosthetics/ ] [ http://www.bordeaux-neurocampus.fr/en/staff/fabien-wagner/ | www.bordeaux-neurocampus.fr/en/staff/fabien-wagner/ ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Jun 1 10:28:39 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Mon, 1 Jun 2020 17:28:39 +0300 Subject: Connectionists: CVML Web lectures 3rd June 2020: 1) Deep Learning. Convolutional Neural Networks 2) Deep Object Detection References: <013901d634e9$854b0980$8fe11c80$@csd.auth.gr> Message-ID: <025b01d63820$f1f1c170$d5d54450$@csd.auth.gr> Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to have launched the live CVML Web lecture series that covers very important Computer Vision/Machine Learning topics. Two new upcoming 45 min lectures will take place soon: 1) Deep Learning. Convolutional Neural Networks 2) Deep Object Detection Date/time: Wednesday 3rd June 2020, 17:00-18:30 EEST for both lectures (7:00-8:30 am California time, 10:00-11:30 am New York time, 22:00-23:30 Beijing time). Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Registration for asynchronous access to CVML live Web lecture material (video, pdf/ppt) for any past/present lecture can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lecture abstracts 1) Deep Learning. Convolutional Neural Networks, Wednesday 3rd June 2020, 17:00-17:45 EEST Summary: Introduction to deep learning, focusing on convolutional neural networks (CNNs). From multilayer perceptrons to deep architectures. Fully connected layers. Convolutional layers. Tensors and mathematical CNN formulations. Pooling. Training convolutional NNs. Initialization. Batch Normalization, Data augmentation. Regularization. Dropout. AlexNet, ZFNet, ResNet, SqueezeNet, Inception, GoogleLeNet, Network-In-Network architectures. Lightweight deep learning. Deployment on embedded systems. Performance metrics. 2) Deep Object Detection, Wednesday 3rd June 2020, 17:45-18:30 EEST Summary: An overview is provided on target detection using deep neural networks. Detection as classification and regression task, Modern architectures for target detection: RCNN, Faster RCNN, R-FCN, YOLO v1/2/3/4, SSD Lightweight detector architectures. Object detection performance metrics. Evaluation and benchmarking. Deployment in embedded platforms.Recently, Convolutional Neural Networks (CNNs) have been used for the task of object detection with great results. However, using such models on drones for real-time face detection is prohibited by the hardware constraints that drones impose. Various architectures and settings are examined to facilitate the use of CNN-based object detectors on a drone with limited computational capabilities. Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. His current interests are in the areas of machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 31000+ citations to his work and h-index 83+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Lecturing record of Prof. I. Pitas: He was Visiting/Adjunct/Honorary Professor/Researcher and lectured at several Universities: University of Toronto (Canada), University of British Columbia (Canada), EPFL (Switzerland), Chinese Academy of Sciences (China), University of Bristol (UK), Tampere University of Technology (Finland), Yonsei University (Korea), Erlangen-Nurnberg University (Germany), National University of Malaysia, Henan University (China). He delivered 90 invited/keynote lectures in prestigious international Conferences and top Universities worldwide. He run 17 short courses and tutorials on Autonomous Systems, Computer Vision and Machine Learning, most of them in the past 3 years in many countries, e.g., USA, UK, Italy, Finland, Greece, Australia, N. Zealand, Korea, Taiwan, Sri Lanka, Bhutan. Relevant links: a) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el b) AIIA Lab www.aiia.csd.auth.gr General information: Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 15 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): Introduction to autonomous systems (delivered 25th April 2020) Introduction to computer vision (delivered 25th April 2020) Image acquisition, camera geometry (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 2nd May 2020) Structure from Motion (delivered 9th May 2020) 2D convolution and correlation algorithms (delivered 9th May 2020) Motion estimation (delivered 20th May 2020) Introduction to Machine Learning (delivered 20th May 2020) Artificial Neural Networks. Perceptron (delivered 27th May 2020) Multilayer perceptron. Backpropagation (delivered 27th May 2020) Deep learning. Convolutional NNs Deep object detection Object tracking Localization and mapping Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas Director of Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Mon Jun 1 11:11:08 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 1 Jun 2020 17:11:08 +0200 Subject: Connectionists: Call for Participation (On-Site & On-Line), ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany, Early Registration: Monday June 8 Message-ID: ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning An multidisciplinary Course: Big Data, Deep Learning & Artificial Intelligence without Borders ACDL 2020 ? A Unique Experience: Data Science, Machine Learning & Artificial Intelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 13-17, 2020 ACDL 2020 an On-Site & On-Line Event! We have concluded that holding the event this year in mixed form both in presence (like previous editions) and virtual is more advantageous than postponing it until next year. In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation. We would be delighted if all participants manage to attend, but are aware that special circumstances are best handled by having flexible options. The advanced course, hence, will be held in presence with virtual rooms for participants using remote connection (e.g., Zoom or MS Teams). The online lectures (e.g., live presentations and/or recorded ones) will be made possible. W: https://acdl2020.icas.xyz E: acdl at icas.cc FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences News: https://acdl2020.icas.xyz/category/news/ The past 2 editions have attracted more than 150 students per year and world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals. More info about our current and past editions can be found here: https://acdl2020.icas.xyz/past-editions/ Early registration deadline: Monday June 8 https://acdl2020.icas.xyz/registration/ CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2020.icas.xyz/registration/ Early registration deadline: June 8 DEADLINES: Early Registration Deadline: Monday June 8. Oral/Poster Presentation Submission Deadline: June 8. Late Registration: from June 9 to July 10 (last date for registration). Accommodation Reservation at the Certosa di Pontignano: July 10. Notification of Decision for Oral/Poster Presentation: June 30. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK Lecture 1: An Introduction to Deep Reinforcement Learning Lecture 2: Milestones in Large-scale Reinforcement Learning: AlphaZero, OpenAI Five and AlphaStar Lecture 3 ? Tutorial: JAX, A new library for building neural networks * Pierre Baldi, University of California Irvine, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Michael Bronstein, Twitter & Imperial College London, UK Lecture 1: Lecture 2: Lecture 3: * Sergiy Butenko, Texas A&M University, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Marco Gori, University of Siena, Italy Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA Lecture 1: VAEs and Normalizing Flows: An Introduction to Modeling High-Dimensional Data with Deep Learning Lecture 2: Flow Contrastive Estimation: An (Un?)-Holy Trinity of Energy-Based Models, Likelihood-Based Models and GANs Lecture 3: Finding Deeply Hidden Truths: Breakthroughs in Nonlinear Identifiability Theory * Risto Miikkulainen, University of Texas at Austin, USA Lecture 1: Evolving Neural Networks for POMDP Tasks Lecture 2: Evolutionary Neural Architecture Search Lecture 3: Evolutionary Surrogate-Assisted Optimization * Panos Pardalos, University of Florida, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Jos? C. Principe, University of Florida, USA Lecture 1: Beyond Backpropagation: Cognitive Architectures for Object Recognition in Video ? Requisites for a Cognitive Architecture Lecture 2: Beyond Backpropagation: Cognitive Architectures for Object Recognition in Video ? Putting it all together Lecture 3: Beyond Backpropagation: Cognitive Architectures for Object Recognition in Video ? Modular Learning for Deep Networks * Mihaela van der Schaar, University of Cambridge, UK Lecture 1: Machine Learning for Medicine ? a new research frontier Lecture 2: Causal Inference and Estimating Individualized Treatment Effects Lecture 3: From Black Boxes to White Boxes: Machine Learning Interpretability, Explainability and Trustworthiness TUTORIAL SPEAKERS: * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Adam Paszke, University of Warsaw, Poland 4-hour tutorial on "PyTorch: A Modern Library for Machine Learning" SCOPE: 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 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. 8 ECTS POINTS: Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. A formal certificate of successful participation in the event will be delivered indicating the number of hours of lectures. VENUE & ACCOMMODATION: The venue of ACDL 2020 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://acdl2020.icas.xyz/venue/ ACCOMMODATION: https://acdl2020.icas.xyz/accommodation/ REGISTRATION: https://acdl2020.icas.xyz/registration/ Anyone interested in participating in ACDL 2020 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 (physically or virtually) in Tuscany in July! ACDL 2020 Organizing Committee. E: acdl at icas.cc W: https://acdl2020.icas.xyz FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences News: https://acdl2020.icas.xyz/category/news/ * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.hallquist at gmail.com Mon Jun 1 16:15:10 2020 From: michael.hallquist at gmail.com (Michael Hallquist) Date: Mon, 1 Jun 2020 16:15:10 -0400 Subject: Connectionists: Postdoc position in computational clinical neuroscience at UNC Chapel Hill Message-ID: <1C89EC16-3DB0-4365-899A-5F05EA67F00A@gmail.com> Dear colleagues, I wanted to share the postdoctoral position below. If you know any recent grads who are interested in a postdoctoral position focusing on affective instability and borderline personality using computational modeling and functional imaging, please encourage them to apply. Thanks, and best wishes, Michael Hallquist --- Position Summary The Hallquist lab is moving to the University of North Carolina in July 2020. We are seeking applications for a post-doctoral scholar to support two lines of funded research. The first examines learning processes that underlie interpersonal dysfunction and suicidal behavior in borderline personality, focusing on the interplay of Pavlovian and instrumental learning. The second examines dynamic variation in mood using a mathematical model of learning from rewards and punishments in daily life. Fellows will have ample opportunities to develop independent research projects and to publish empirical papers on suicide and borderline personality disorder using existing data. Ideally, applicants should have experience with both functional neuroimaging and the development of reinforcement learning or computational models of behavior. Postdocs will work on NIH-supported lines of research in close collaboration with Dr. Alex Dombrovski?s Decision Neuroscience and Psychopathology Lab at the University of Pittsburgh. Funding is available now with a flexible start date. Applications will be reviewed on an ongoing basis. This is a one-year appointment with the possibility of extension. The ideal candidate will have strong quantitative skills, experience in cognitive, social, affective, or computational neuroscience, and an interest in decision-making in psychopathology. The position will include opportunities to develop and lead new research within the broader aims of the lab and guidance in obtaining independent funding. The lab environment is highly collaborative and postdocs have the opportunity to learn reinforcement learning modeling and functional imaging techniques. Educational Requirements PhD in neuroscience, psychology, economics or a related field, or MD. Qualifications and Experience Experience using advanced statistical and modeling approaches. Demonstrated ability to complete projects as evidenced by first-author publication(s). Programming skills are essential, particularly in functional programming languages including R, Python, or MATLAB. Preferred: Background in functional magnetic resonance imaging (including experience with AFNI, FSL, or SPM) or other human neurophysiology techniques. Equal Opportunity Employer The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran. Applicants can apply using the following link: https://unc.peopleadmin.com/postings/180654 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Mon Jun 1 21:44:03 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 2 Jun 2020 01:44:03 +0000 Subject: Connectionists: SBP-BRiMS'2020: New dates, New special tracks ... In-Reply-To: References: , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies We hope this email finds you well. We also hope that everyone is safe and healthy. Given the recent disruptions caused by the COVID-19 pandemic, we would like to announce some changes related to this year's SBP-BRiMS conference (http://sbp-brims.org/). New Conference Dates: 2020 SBP-BRiMS conference: October 18 - 21, 2020 October 18: Tutorials October 19 - 21: Main conference. Venue: No change. Still at George Washington University, Washington DC, USA Two New Special Tracks: Validation Track: For details, see the CFP at the conference website: http://sbp-brims.org/ COVID-19 Pandemic Track: For details, see the CFP at the conference website: http://sbp-brims.org/ Deadline for Short Papers, Special Track Papers, Doctoral Consortium: August 15, 2020 For details, see the CFP at the conference website: http://sbp-brims.org/ Conference Format: The conference is still being planned as an in-person meeting. COVID-19 contingency plan: If, for whatever reason, we are unable to hold a live meeting in Washington DC, we will hold a virtual meeting on the indicated dates via ZOOM. We look forward to seeing you all in October. Don Adjeroh SBP-BRiMS Publicity Chair ________________________________ From: Donald Adjeroh Sent: Friday, March 13, 2020 5:55 PM To: don at csee.wvu.edu Subject: SBP-BRiMS'2020: Message from Conference Chair on the Coronavirus Apologies if you receive multiple copies Dear SBP-BRiMS community, I am sure you are all wondering if SBP-BRiMS 2020 (http://sbp-brims.org/) will still occur or be changed in some way given the COVID-19 pandemic. At this point, we still plan to hold an in person meeting in July. However, the organizing committee is monitoring the situation closely. We are also in consultation with organizers of other conferences to make sure we are considering all of the relevant issues. More information is coming out from the CDC and WHO regularly, that we are also considering. Should we decide that it is in the community?s best health interest to cancel, or go to an on-line meeting, we will let you know. We will send out regular updates. Sincerely and with all due respect, Kathleen M. Carley Professor, Carnegie Mellon University, PA, USA SBP-BRIMS Conference Co-Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From jesusgarrido at ugr.es Mon Jun 1 15:05:44 2020 From: jesusgarrido at ugr.es (=?UTF-8?Q?Jes=C3=BAs_Garrido?=) Date: Mon, 1 Jun 2020 21:05:44 +0200 Subject: Connectionists: Two PhD positions in computational modeling of brain areas and neurorobotics Message-ID: The *Applied Computational Neuroscience (ACN) research group* ( https://acn.ugr.es), headed by Prof. Eduardo Ros at the University of Granada (UGR) is looking for talented Master or PhD students interested in working in the field of computational neuroscience and neurorobotics, specifically addressing questions of motor learning and adaptation. The perfect candidate shall possess a strong mathematical, computational or robotic engineering background (or equivalent), with great interest in biological and neural systems. Demonstrated programming skills are mandatory. *Requirements:* - Applicants should have a strong quantitative background (physics, engineering, computer science, applied mathematics), and a keen interest in reverse-engineering the brain. - Demonstrated programming skills (Matlab, C/C++, Python) are required. - Knowledge on computational neuroscience software (BRIAN, NEURON, NEST,?etc ) are a plus although not mandatory. - Robotics control middleware (ROS) is highly valuable. - Robotics (ROS) and programming languages (Matlab, C/C++, Python) are highly valuable. - Proficiency in oral and written English is required. - Knowledge of Spanish is not mandatory. Successful candidates are expected to work in an interdisciplinary environment with collaborations within EU projects. *Full Description of the Job Offer* can be found at: http://sl.ugr.es/hbpcontract *How to apply* Candidates should send a single pdf file containing a motivation letter, a full CV, and names and contact information of at least two referees, to Niceto Luque (nluque at ugr.es) and Jes?s Garrido (jesusgarrido at ugr.es). Short listed candidates will be contacted for an interview (either face-to-face or via videoconference) --------------------------------------------------------------------------- Jes?s Garrido Associate Professor Dept. of Computer Architecture and Computer Technology University of Granada Phone: +34958241776 email: jesusgarrido at u gr.es --------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe at imse-cnm.csic.es Tue Jun 2 05:12:05 2020 From: bernabe at imse-cnm.csic.es (bernabe) Date: Tue, 2 Jun 2020 11:12:05 +0200 Subject: Connectionists: Young post-doc neuromorphic position at IMSE Message-ID: <6349386a-9d21-0eec-7bd4-0abf246568c5@imse-cnm.csic.es> The "Instituto de Microelectr?nica de Sevilla" (IMSE) has an opening for a 3-year young post-doc position to join the Neuromorphic Group at IMSE (www.imse-cnm.csic.es/neuromorphs), financed by the Andalusian Regional Government. Gross annual salary is 30k?, which allows for a wealthy life in Sevilla. Requirements: - Official PhD graduation date must be after May 27th 2015, although earlier dates are possible in case of leaves due to pregnancies, child birth, adoption, major accident or disease. - One special requirement is that candidates must present an official certificate from the Public Employment Service of their country showing they are either unemployed or demanding a better position. - Deadline for candidacy submission is June 17th, although prospective candidates should contact us at bernabe at imse-cnm.csic much earlier to prepare the proposal. The IMSE Neuromorphic Group develops research in Silicon chips and FPGAs for neuromorphic hardware with stronger focus on vision applications. We have developed several DVS (Dynamic Vision Sensor) cameras as well as cortical processing systems and spiking based learning techniques. In the last years we have strongly engaged into exploiting memristors for neuromorphic hardware and have designed full monolithic CMOS-memristive neuromorphic systems. We welcome both, candidates with more hardware profile (either analog or digital) as well as with more computing profile. The successful candidate can participate in any of the active research projects in the group, can also develop alternative research lines within the neuromorphic field, participate in grant proposals, and advice PhD and MSc students. Please do redistribute. Deadline is very short. Thanks. -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: firma_blb.png Type: image/png Size: 72205 bytes Desc: not available URL: From publicity at cikm2020.org Tue Jun 2 05:15:43 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Tue, 2 Jun 2020 17:15:43 +0800 Subject: Connectionists: CIKM 2020 - Call for Doctoral Consortium Proposals Message-ID: * Apologies for cross-posting * ** 3rd call for DOCTORAL CONSORTIUM PARTICIPATION ** In conjunction with CIKM 2020 (October 19th-23rd, 2020) CIKM 2020 will be a fully virtual conference, with no travel involved, and presentations will be given via pre-recorded videos, followed by synchronized online discussions during the scheduled conference period. In this context, please note the submission deadlines below. We invite PhD students from the general areas of databases (DB), information retrieval (IR), and knowledge management (KM) to submit their proposals for participation in a Doctoral Consortium, which will be held on Tuesday, 20th October 2020 in the context of the 29th ACM International Conference on Information and Knowledge Management (CIKM2020) . We welcome submissions representing a broad spectrum of research topics relevant to the CIKM community. The goal of the PhD Symposium is to provide a platform for PhD students to present and receive feedback on their ongoing research. Students at different stages of their research will have the opportunity to present their work in an online conference environment and discuss their research questions, goals, methods and results. Participants will benefit from the advice of senior researchers in the field in the form of one-to-one online discussions that will be organized. Key Dates (Updated) Submission deadline 24th July 2020 Acceptance notification 15th August 2020 Camera-ready version due 31st August 2020 Doctoral Consortium 20th October 2020 More info: https://cikm2020.org/call-for-doctoral-consortium-participation/ Doctoral Consortium Chairs - Daniel Hienert (GESIS ? Leibniz Institute for the Social Sciences, Cologne, Germany) - Gianluca Demartini (University of Queensland, Australia) Check our sponsorship options for an opportunity to r -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Tue Jun 2 07:22:16 2020 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Tue, 2 Jun 2020 13:22:16 +0200 Subject: Connectionists: [jobs] 3-year postdoc position in machine learning with Prof. Laurenz Wiskott at the Institute for Neural Computation in Bochum, Germany Message-ID: <20200602112216.GO3848@curry.localdomain> ___________________________________________________________________________ Open position for a Postdoc with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ University: The Ruhr-Universit?t Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Chair: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an outstanding post-doctoral researcher to work at the intersection of model-based reinforcement learning and representation learning, e.g. for navigation and action planing in video game environments. It is envisaged that the postdoc builds up his/her own independent research agenda including grant proposals but maintains close interaction with the groups by Prof. Tobias Glasmachers and Prof. Laurenz Wiskott. Teaching: There is a teaching load of 4 hours per week during the semester. Time: The appointment will be for three years and can be extended if successful. Anticipated starting date is August 1st. Requirements: Candidates should have a recent and excellent PhD in machine learning or a related field with a focus on representation learning and/or reinforcement learning. Salary: Salary is 100% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott . Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott . Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. From mihaela.rozman at tuwien.ac.at Tue Jun 2 08:19:33 2020 From: mihaela.rozman at tuwien.ac.at (Mihaela Rozman) Date: Tue, 2 Jun 2020 14:19:33 +0200 Subject: Connectionists: 12 PhD Positions in the Doctoral Program Logical Methods in Computer Science (LogiCS) - fully funded - Vienna, Austria - Deadline: 12 June 2020 Message-ID: <09ef01d638d8$12ce4e10$386aea30$@tuwien.ac.at> ========================================================== ========================================================== TU Wien (Vienna University of Technology) TU Graz (Graz University of Technology), and JKU Linz (Johannes Kepler University), are seeking highly qualified PhD candidates for the joint doctoral program on Logical Methods in Computer Science (LogiCS), funded by the Austrian Science Fund (FWF). We are recruiting up to 12 fully funded doctoral candidates for a starting period of 3 years. STARTING DATE: Negotiable LOCATION: Vienna or Graz, Austria (candidate?s choice) SALARY: The PhD candidates receive an employment contract DEADLINE: June 12, 2020 WEBSITE: https://logic-cs.at/phd ========================================================== ========================================================== The PhD program focuses on interdisciplinary research topics covering ? computational logic, and applications of logic to ? databases and artificial intelligence, ? computer-aided verification, ? security and privacy, ? cyber-physical systems, as well as to ? distributed systems. ========================================================== ============= RESEARCH AREAS ============= At the moment we are particularly looking for PhD candidates interested in the following areas: * Automated Software Verification * Description Logics * Epistemic logic in distributed computing * Game-based Semantics * Fixed-Parameter Algorithms and Complexity * Formal Verification of hybrid systems * Knowledge Representation and Reasoning * Model Checking * Modeling and analysis of digital integrated circuits * Networking and Communication Technology * Normative Reasoning * Ontology-based Data Access * Security and Privacy * Scheduling and logic programming * Study of the Interaction between rules from a knowledge base and rules arising from machine learning * Topology in distributed computing * Quantified Boolean Formulas ============= THE PROGRAM ============= Our PhD program LogiCS is focusing on logic and its applications in computer science. Successful applicants will work with and be mentored by leading researchers in the fields of computational logic, databases and knowledge representation, computer-aided verification, security and privacy, cyber-physical systems, and distributed systems. The LogiCS doctoral program offers top research expertise, and a stimulating and supportive environment. The LogiCS is coordinated by TU Wien, which offers an outstanding research environment and numerous professional development opportunities. The Faculty of Informatics of TU Wien is the largest one in Austria and is consistently ranked among the best in Europe. The founding body of the LogiCS, the Austrian Science Fund (FWF), offers multiple funding opportunities for young researchers to advance their independent scientific careers. ============= FACULTY MEMBERS ============= - E. Bartocci - A. Biere - R. Bloem - A. Ciabattoni - T. Eiter - G. Gottlob - R. Grosu - L. Kovacs - M. Maffei - M. Ortiz - U. Schmid - M. Seidl - S. Szeider - G. Weissenbacher - S. Woltran The LogiCS faculty comprises 15 renowned researchers with strong records in research, teaching and advising, complemented by 15 associated members who further strengthen the research and teaching activities of the college. ============= POSITIONS AND FUNDING ============= * We are looking for 12 very strong doctoral students. * The doctoral positions are funded for at least 3 years according to the funding scheme of the Austrian Science Fund (FWF) (EMPLOYMENT CONTRACT) * The location of the research post is Vienna or Graz, Austria. ============= HOW TO APPLY ============= Detailed information about the application process is available on the LogiCS web-page: https://logic-cs.at/phd/admission/ * The applicants are expected to have completed an excellent diploma or master?s degree in computer science, mathematics, or a related field. * Candidates with comparable achievements will be considered on a case-by-case basis. * Applications by the candidates need to be submitted electronically. Application Deadline: June 12, 2020 ============= LOGIC IN AUSTRIA ============= Austria has a highly active and successful logic in the computer science community. Recent activities include: Austrian Research Network in Rigorous Systems Engineering - http://www.arise.or.at Vienna Center for Logic and Algorithms - http://www.vcla.at International Kurt Goedel Society - http://www.kgs.logic.at ============= HIGHEST QUALITY OF LIFE ============= The Austrian cities Vienna, Graz, and Linz, located close to the Alps and surrounded by beautiful nature, provide an exceptionally high quality of life, with a vibrant cultural scene, numerous cultural events, world-famous historical sites, a large international community, a varied cuisine and famous coffee houses. If you decide to be located in Vienna, the city features a vibrant and excellence-driven research landscape, with several leading research institutes (e.g., University of Vienna, IST, AIT, SBA) and universities continuously establishing collaborations in various fields. Finally, Vienna has been consistently ranked by Mercer over the last years the best city for quality of life worldwide. ============= ADDITIONAL INFORMATION ============= LogiCS web-page: https://logic-cs.at/phd/admission/ For further information please contact: info at logic-cs.at ============= TWITTER ============= @vclaTUwien -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Tue Jun 2 08:58:32 2020 From: Francesco.Rea at iit.it (Francesco Rea) Date: Tue, 2 Jun 2020 12:58:32 +0000 Subject: Connectionists: =?iso-8859-1?q?=5Bjobs=5D__5_PHD_POSITIONS_IN_COG?= =?iso-8859-1?q?NITIVE_ROBOTICS=2C_INTERACTION_AND_REHABILITATIONS_TECHNOL?= =?iso-8859-1?q?OGIES_AT_IIT_IN_COLLABORATION_WITH_UNIVERSIT=C0_DI_GENOVA_?= =?iso-8859-1?q?-_=5B_PhD_=5D?= Message-ID: In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences. The general objective of the program is to form scientists and research technologists capable of working in multidisciplinary teams on projects where human factors play a crucial role in technological development and design. The 5 fellowships offered this year by the Istituto Italiano di Tecnologia as part of this curriculum will be assigned to the best applicants to one of the six themes offered within the curriculum, that can be found at the following address under the "Cognitive Robotics Interaction Rehabilitation technologies" Research themes: https://www.iit.it/phd-school/phd-school-genoa Here you can find the direct link to the list of themes in: List of Themes (PDF): https://www.iit.it/phd-school-docs/phd-2020/722-cognitive-robotics-interaction-rehabilitation-technologies/file The deadline for the application is at 12:00 (Italian time) of the 15th June 2020 The interested applicants can find more details on the application and unofficial tip & tricks page to the application process: https://www.iit.it/phd-school/phd-school-admission-guide All IIT units involved in this curriculum are located in the "Erzelli" site of the Italian Institute of Technology and share research facilities including, besides two iCub humanoid Robots, a fully equipped motion capture room with simultaneous electromyography recording and force-platforms, a Transcranial Magnetic Stimulation Lab, an Electrophysiology Lab for EEG recording and meeting rooms. The ideal candidates are students with a higher level university degree willing to invest extra time and effort in blending into a multidisciplinary team composed of neuroscientists, engineers, psychologists, physicists working together to investigate brain functions and realize intelligent machines, rehabilitation protocols and advanced prosthesis. Interested applicants are encouraged to contact the perspective tutors for clarifications before submitting their application. International applications are encouraged and will receive logistic support with visa issues and relocation. Within this curriculum, RBCS Robotics, Brain and Cognitive Sciences department sponsors: *) Autonomous learning in human-robot interaction: towards transparent robot symbiosis in skill acquisition *) The role of social signals in human-robot interaction in group *) Cortical networks for affective communication in human robot interaction *) Altered reality for rehabilitation and training of low-vision individuals -------------- next part -------------- An HTML attachment was scrubbed... URL: From rune2earth at gmail.com Tue Jun 2 09:01:58 2020 From: rune2earth at gmail.com (Rune Berg) Date: Tue, 2 Jun 2020 15:01:58 +0200 Subject: Connectionists: Post doc in Statistical mechanics of neuronal networks Message-ID: Post doc project in Statistical mechanics of neuronal networks behind motor control. In the laboratory of Rune W. Berg, University of Copenhagen, Denmark: www.berg-lab.net Applicant Requirements: This is for cross-Disciplinary Fellowships (CDF) where applicants with a Ph.D. come from outside the neurosciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences) looking to go into neuroscience. The post doc position is unfunded but together we will apply with the Human frontiers science program with Deadline August 27th, 2020: https://www.hfsp.org/funding/hfsp-funding/postdoctoral-fellowships Project details: Statistical mechanics of neuronal networks involved in generation of movements. Here, we will perform experimental and theoretic investigations on how large networks of neurons in brain and spinal cord of rodents generate movements, primarily locomotion. The project involves multi-electrode array recordings from neurons, of awake behaving animals, and the associated data analysis. Further, the project involves incorporation of a new neural theory behind generation of movements and the cultivation of this theory. There will also be data analysis and spike sorting. If you are interested in joining this project and our team as a post doc, please contact us at pgj142 at ku.dk Deadline for contact us is July 1st, 2020 Best, Rune ---------------------------- Rune W. Berg, PhD, Associate Professor University of Copenhagen Department of Neuroscience, 07-5-74 Blegdamsvej 3, DK-2200 Copenhagen N DENMARK Tel: (+45) 26 97 73 94 Email: pgj142 at ku.dk Skype ID: rune2earth www.berg-lab.net www.sund.ku.dk Follow me on Twitter: @rune2earth -------------- next part -------------- An HTML attachment was scrubbed... URL: From hcomp.publicity at gmail.com Tue Jun 2 15:18:41 2020 From: hcomp.publicity at gmail.com (HCOMP Publicity) Date: Tue, 2 Jun 2020 21:18:41 +0200 Subject: Connectionists: HCOMP 2020: Call for Papers Message-ID: * We apologize for cross-posting * *** Covid-19 announcement *** The HCOMP organisers are monitoring the ongoing situation around Covid-19 closely. We plan to hold the conference at the same dates, either online, or, if it?s safe and the restrictions allow it, at the planned venue in the Netherlands. We aim to disclose further details in a few months. In the meantime, we?re looking forward to your submissions! *** HCOMP 2020: Call for Papers *** ? Hilversum, the Netherlands ? October 26-28 2020 ? Website: https://www.humancomputation.com ? Twitter: @hcomp_conf Important dates, all times are midnight CEST (Amsterdam time) ? June 5, 2020: Abstracts submission (compulsory to submit a full paper) ? June 12, 2020: Full papers due ? July 31, 2020: Notification of acceptance ? August 14, 2020: Final camera-ready papers due Submission Authors are invited to submit papers of up to 8 pages, plus any number of additional pages containing references only. Note the page limits for the proceedings below. All submitted papers must represent original work, not previously published or under simultaneous peer-review for any other peer-reviewed, archival conference or journal. Papers must be formatted in AAAI two-column, camera-ready style; please refer to the AAAI 2020 Author Kit for details. The AAAI copyright block is not required on submissions, but must be included on final accepted versions. Electronic abstract and paper submission through the HCOMP-20 EasyChair paper submission site is required on or before the deadlines listed above. Authors will receive confirmation of receipt of their abstracts or papers, including an ID number, shortly after submission. You can make updates to all information submitted before the deadline. We will consider only the final version received before the call closes. All papers must be anonymized (include no information identifying the authors or their institutions) for double-blind peer-review. To ensure fairness, authors should declare any conflicts-of-interest with PC members by selecting the "Declare Conflicts" link on the upper-right of your EasyChair submission page. Authors are strongly encouraged to include supplemental materials such as executables and data files so that reviewers can reproduce results in the paper, images, additional videos, related papers, more detailed explanations, derivations, or results. These materials will be viewed only at the discretion of the reviewers, who are only obligated to read your paper itself. Reviews Each paper will be reviewed by at least two members of the programme committee and one AC. Reviewers will be instructed to evaluate paper submissions according to specific review criteria. We encourage authors to review them before submission. To ensure relevance, authors should consider including research questions and contributions of broad interest to crowdsourcing and human computation, as well as discuss relevant open problems and prior work in the field. When evaluation is conducted entirely within a specific domain, authors are encouraged to discuss how findings might generalize to other communities and application areas using crowdsourcing and human computation. Publication and proceedings Accepted papers will be listed on the conference website. To be included in the proceedings and in the conference programme at least one author must register for the main conference. The registration needs to occur by the camera-ready deadline. Accepted full papers will be allocated eight (8) pages in the conference proceedings; up to two (2) additional pages may be used at a cost to the authors of $275 per page. Final papers found to exceed page limits and or otherwise violating the instructions to authors will not be included in the proceedings. Authors will be required to transfer copyright of their paper to AAAI. Accepted full papers will be published in the HCOMP conference proceedings and included in the AAAI Digital Library. Presenting your paper If your paper is accepted, you will be invited to present it at HCOMP2020. As noted earlier, at least one author of each accepted paper must register for the main conference to present the work or acceptance will be withdrawn. The deadline for that is the same as the camera-ready deadline. Paper awards HCOMP 2020 will recognize a best-paper and two runner ups. New to HCOMP is a best student-paper. A best student paper is a paper where major parts of the work have been completed by an undergrad or postgrad student. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hcomp.publicity at gmail.com Tue Jun 2 15:31:54 2020 From: hcomp.publicity at gmail.com (HCOMP Publicity) Date: Tue, 2 Jun 2020 21:31:54 +0200 Subject: Connectionists: HCOMP 2020: Call for Workshops Message-ID: * We apologize for cross-posting * *** Covid-19 announcement *** The HCOMP organisers are monitoring the ongoing situation around Covid-19 closely. We plan to hold the conference at the same dates, either online, or, if it?s safe and the restrictions allow it, at the planned venue in the Netherlands. We aim to disclose further details in a few months. In the meantime, we?re looking forward to your submissions! *** HCOMP 2020: Call for Workshops *** ? Hilversum, the Netherlands ? October 26-28 2020 ? Website: https://www.humancomputation.com ? Twitter: @hcomp_conf Important dates, all times are midnight CEST (Amsterdam time) June 15, 2020: Topic descriptions due October 26, 2020: Workshops are to take place OVERVIEW HCOMP workshops are a gathering place for people interested in human computation or crowdsourcing to meet in the context of a focused and interactive discussion. They are an opportunity to move the field forward and build community. Workshops might address basic or applied research, human computation or crowdsourcing in industry, new methodologies, emerging application areas, or other topics of interest. Workshop schedules should encourage lively debates and discussion. Each workshop should generate ideas that will give the HCOMP community a fresh way of thinking about the topic or that suggest promising directions for future work. If you would like to organize a workshop, please reach out to hcompconference at gmail.com by June 15 with a description of your proposed topic, intended audience, list of potential speakers, and a one-day or half-day schedule, including some time for contributed talks. Workshops are expected to be inclusive, and priority will be given to workshops that include a diversity of speakers, organizers, and viewpoints. Selected workshops will be held on October 26, the day before the main conference begins. Organizers also have the possibility to publish an overview article about their workshop (up to 10 pages, including abstracts of selected articles) to AI Magazine. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Wed Jun 3 03:54:26 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Wed, 3 Jun 2020 09:54:26 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Papers=3A_6th_Int=2E_Conf=2E_M?= =?utf-8?q?L=2C_Opt_=26_DS_=E2=80=93_LOD=2720_-_Paper_Submission_De?= =?utf-8?q?adline=3A_tomorrow!?= In-Reply-To: References: <5c8WWSnZTC-RJzSmdMBhpQ@geopod-ismtpd-6-0> Message-ID: July 19-23, 2020 ? Certosa di Pontignano, Siena, Italy - Paper Submission Deadline: June 4 (tomorrow!) [image: Call for Papers: The 6th International Conference on Machine Learning, Optimization & Data Science ? July 19-23, 2020 ? Certosa di Pontignano, Siena, Italy - Paper Submission Deadline: June 4 (tomorrow!)] [image: Call for Papers: The 6th International Conference on Machine Learning, Optimization & Data Science ? July 19-23, 2020 ? Certosa di Pontignano, Siena, Italy - Paper Submission Deadline: June 4 (tomorrow!)] Call for Papers: The 6th International Conference on Machine Learning, Optimization & Data Science ? July 19-23, 2020 ? Certosa di Pontignano, Siena, Italy - Paper Submission Deadline: June 4 (tomorrow!) *LOD 2020: integration of Machine Learning, Optimization and Data Science to provide the scientific and technological foundations for Interpretable, Explainable and Trustworthy AI adopting the Asilomar AI Principles. * Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees. The 6th International Conference on Machine Learning, Optimization, and Data Science ? July 19-23, 2020 ? Certosa di Pontignano, Siena ? Tuscany, Italy An multidisciplinary Conference: Machine Learning, Optimization, Big Data & Artificial Intelligence without Borders *From 2015, the LOD Conference brings academics, researchers and industrial researchers together in a unique multidisciplinary community to discuss the state of the art and the latest advances in the integration of machine learning, optimization and data science to provide the scientific and technological foundations for interpretable, explainable and trustworthy AI adopting, from 2017, the Asilomar AI Principles. * The 6th Annual Conference on machine Learning, Optimization and Data science (LOD) is a international conference on machine learning, computational optimization, data science that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers. The International Conference on Machine Learning, Optimization, and Data Science (LOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences. We invite submissions of papers, abstracts, posters and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference proceedings ? Springer Lecture Notes in Computer Science. *LOD 2020 an On-Site & On-Line Conference!* After numerous discussions, we have concluded that holding the event this year in mixed form both in presence (like previous editions) and virtual is more advantageous than postponing it until next year. In order to accommodate a large number of situations and constraints, we are offering the option for either physical presence or virtual participation. We would be delighted if all authors and participants manage to attend, but are aware that special circumstances are best handled by having flexible options. The Conference, hence, will be held in presence with virtual rooms for authors and participants using remote connection (e.g., Zoom or MS Teams). The online lectures (e.g., live presentations and/or recorded ones) will be made possible. W: https://lod2020.icas.xyz E: lod at icas.cc EC: https://easychair.org/conferences/?conf=lod2020 FB: https://www.facebook.com/groups/2236577489686309/ News: https://lod2020.icas.xyz/category/news/ Important Date : * *Paper Submission Deadline: June 4 ? Anywhere on Earth*. * Early Registration: June 30 KEYNOTE SPEAKERS : * Pierre Baldi, University of California Irvine, USA Talk: TBA * Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Nando de Freitas, Google DeepMind, London, UK & Oxford University, UK Talk: TBA * Marco Gori, University of Siena, Italy Talk: TBA * Marta Kwiatkowska, University of Oxford, UK Talk: TBA (online talk) * Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany *Talk: Machine Learning of Robot Skills (online talk)* * Panos Pardalos, University of Florida, USA *Talk: Inverse Combinatorial Optimization Problems * * Tomaso Poggio, MIT, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Raniero Romagnoli, Almawave, Italy *Talk: NLP for Close Domain Applications with Real World Data: an hybrid approach to jointly leverage prior domain knowledge, reasoning techniques and deep learning* * Cristina Savin, Center for Neural Science, New York University, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Tali Tishby, The Hebrew University, Israel LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA Tutorial Speakers * Chip Huyen, Stanford University, USA *4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research"* * Vincenzo Sciacca, Almawave, Italy *Tutorial on "Natural Language Processing and Deep Learning"* SATELLITE WORKSHOPS I) Satellite Workshop on "Biologically Plausible Learning" on July 19 https://lod2020.icas.xyz/workshop-on-biologically-plausible-learning/ Chair: Marco Gori, University of Siena, Italy Keynote Speaker: * Pierre Baldi, University of California Irvine, USA * Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 * Tomaso Poggio, MIT, USA * Cristina Savin, Center for Neural Science, New York University, USA * Tali Tishby, The Hebrew University, Israel Paper Submission Deadline: June 4 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 II) Workshop on ?Integrative Machine Learning? Chair: Marco Gori, University of Siena, Italy https://lod2020.icas.xyz/workshop-on-integrative-machine-learning/ Paper Submission Deadline: June 4 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 SPECIAL SESSIONS : * Big data in Economics and Finance Organized by the Big Data and Forecasting of Economic Developments project (bigNOMICS) of the Centre for Advanced Studies of the European Commission, Joint Research Centre. Chairs: Sergio Consoli, Luca Barbaglia, Luca Tiozzo Pezzoli * Industrial Session Chairs: Vincenzo Sciacca ? Almawave, Giovanni Giuffrida ? Neodata. * Special Session on Explainable Artificial Intelligence Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. https://robotics.sciencemag.org/content/4/37/eaay7120 * Multi-Objective Optimization (MOO) & Multi Criteria Decision Aiding (MCDA) * The 7 Special Sessions on Machine Learning Multi-Task Learning Reinforcement Learning Deep Learning Generative Adversarial Networks Deep Neuroevolution Networks with Memory Learning from Less Data and Building Smaller Models * The 7 Special Session on Data Science and Artificial Intelligence Simulation Environments to understand how AI Systems Learn Chatbots and Conversational Agents Data Science at Scale & Data in the Cloud Urban Informatics & Data-Driven Modelling of Complex Systems Data-centric Engineering Data Security, Traceability of Information & GDPR Economic Data Science Special Session Paper Submission Deadline: June 4 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 BEST PAPER AWARD Springer sponsors the LOD 2020 Best Paper Award with a cash prize of 1,000 Euro. https://lod2020.icas.xyz/best-paper-award/ PROGRAM COMMITTEE 500+ confirmed PC members! Breaking the record of the last edition of LOD! https://lod2020.icas.xyz/program-committee/ BIG DATA CHALLENGE Our sponsor, Neodata Lab, will offer a prize of ?2000 to the applicant who develops the most accurate algorithm to process the following problem. https://lod2020.icas.xyz/lod-2020-challenge/ See you (physically or virtually - in 2D or in 3D) in Siena next July! Best regards, LOD 2020 Organizing Committee W: https://lod2020.icas.xyz E: lod at icas.cc EC: https://easychair.org/cfp/LOD2020 FB: https://www.facebook.com/groups/2236577489686309/ T: https://twitter.com/TaoSciences L: https://www.linkedin.com/groups/12092025/ News: https://lod2020.icas.xyz/category/news/ * Apologies for multiple copies. Please forward to anybody who might be interested * Past Editions https://lod2020.icas.xyz/past-editions/ *LOD 2020 Paper Submission* Paper Submission [image: Facebook] [image: Twitter] [image: LinkedIn] ICAS Certosa di Pontignano - Loc. Pontignano, 5 , Castelnuovo Berardenga (Siena), 53019 Unsubscribe - Unsubscribe Preferences -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Wed Jun 3 05:03:22 2020 From: a.dorrn at fz-juelich.de (a.dorrn at fz-juelich.de) Date: Wed, 3 Jun 2020 11:03:22 +0200 Subject: Connectionists: =?utf-8?q?online_Bernstein_Conference_2020_?= =?utf-8?q?=E2=80=93_call_for_abstracts?= Message-ID: Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. In 2020, the conference will be held entirely online for the first time. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 29 ? October 1, 2020 * Abstract submission open: June 5, 2020 * Deadline for submission of abstracts to be considered for Contributed Talks: July 1, 2020 * Deadline for abstract submission: August 1, 2020 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: The timeline for the online Bernstein Conference 2020 schedules four talk and poster sessions. Submitted abtracts can either be considered as contributed talks or posters. Abstract submission will open on June 5. Further information can be found here: bit.ly/BC20abstracts. ____ INVITED SPEAKERS William Bialek (Princeton University, USA) Michael Brecht (Humboldt Universit?t zu Berlin, Germany) Laura Busse (LMU Munich, Germany) Megan Carey (Champalimaud Center for the Unknown, Lisbon, Portugal) Rosa Cossart (Institut de neurobiologie de la m?diterran?e, Marseille, France) Ann Hermundstad (Janelia Research Campus, Ashburn, USA) Roozbeh Kiani (New York University, New York City, USA) Vanessa Ruta (The Rockefeller University, New York City, USA) David Sussillo (Google AI, Mountain View, USA) Srdjan Ostojic (L'?cole normale sup?rieure, Paris, France) Fred Wolf (Max-Planck Institute for Dynamics and Self-Organization, G?ttingen, Germany) ____ CONFERENCE COMMITTEE Udo Ernst (Conference Chair) Elad Schneidmann (Program Chair) Julijana Gjiorgjieva (Program Vice Chair) Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Henning Sprekeler (Conference Host) Danielle Bassett, Matthew Botvinick, Peter Dayan, Alain Destexhe, Tim Gollisch, Stephanie Palmer, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Wed Jun 3 10:00:49 2020 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Wed, 3 Jun 2020 14:00:49 +0000 Subject: Connectionists: NEST Conference 2020 Registration now open Message-ID: Dear Colleagues! The NEST Conference Website is open again on https://nest-simulator.org/conference and we have now opened for registration as well. Registration by 22 June 2020 is required for attendance. Only registered users will receive log-in information for the conference. Registration to the conference is * free of charge for members of the NEST Initiative * 35 CHF for non-members To qualify for the member rate, you must apply for membership in the NEST Initiative by 10 June. See http://www.nest-initiative.org/membership/ for information on how to join. Membership is currently free of charge for students, including PhD students, and 25 CHF annually for everyone else. We are looking forward to seeing you on 29/30 June! Hans Ekkehard -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section 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 Bjorn.Jensen at glasgow.ac.uk Wed Jun 3 11:55:57 2020 From: Bjorn.Jensen at glasgow.ac.uk (=?utf-8?B?QmrDuHJuIFNhbmQgSmVuc2Vu?=) Date: Wed, 3 Jun 2020 15:55:57 +0000 Subject: Connectionists: Machine Learning and Computer Vision Research Scientist (KTP Associate) - London, UK Message-ID: As part of a 34 month Knowledge Transfer Partnership funded by Innovate UK between the Schools of Psychology and Computing Science at University of Glasgow and the company Qumodo in London we are looking to hire a Knowledge Transfer Associate. The aim of the project is to develop, deploy and commercialise an robust and reliable image Location Identification Classifier (LoID) to match large volumes of images, based on scene, metadata, and location content, utilising computer vision and machine learning. This technology will be used by Qumodo customers in policing and security to identify and protect child victims of abuse. The successful delivery of this project will assist investigators and contribute to a safer society. The associate will spend the majority of their time in *London* working at the Qumodo facility and receive supervision on the University of Glasgow side by Frank Pollick (psychology), and Paul Siebert and Bj?rn Sand Jensen (computing science). Further details are below and in the posting at: https://www.jobs.ac.uk/job/CAC519/machine-learning-and-computer-vision-research-scientist-ktp-associate . Please contact (frank.pollick at glasgow.ac.uk) if you would have any questions. *The application deadline is 18 June 2020.* ------------------------------- We are looking for a Machine Learning Research Scientist to work on a Knowledge Transfer Partnership (KTP) funded project with the aim to develop and commercialise an image Location Identification Classifier (LoID) to match large volumes of images, based on scene, metadata, and location content, utilising computer vision and machine learning. This technology will be used by Qumodo customers in policing and security to identify and protect child victims of abuse. The successful delivery of this project will assist investigators and contribute to a safer society. The industrial partner for this project is Qumodo (qumo.do). Qumodo specialises in research and development related to human interaction with AI, primarily for applications which help to build a safer society. The selected candidate will primarily be based at their premises in London receiving training from both the company and university teams. The candidate should have a strong programming background and experience with machine learning, computer vision, running a research project and experimental design. Their work will be aligned to the commercial interests of the company and they will work collaboratively with the company's Research and Development team, taking an instrumental role in the delivery of new products. The successful candidate will also be expected to write reports on their studies and research papers during the course of the KTP. It is highly desirable that candidates are eligible for UK security clearance and have been resident in the UK for at least five years. The salary shall be determined by the Researcher, the University and the KTP Partner. The amount shall be appropriate to the experience and qualifications of the appointed Researcher in the region of ?33,000 - ?45,000 per annum depending on qualifications and experience. Funding is available on a full-time basis (35 hours per week) and is available for up to 34 months in the first instance. For further enquiries about the role please contact: Prof. Frank Pollick (Principal Investigator) - Frank.Pollick at glasgow.ac.uk Dr. Paul Siebert (computer vision) - Paul.Siebert at glasgow.ac.uk Dr. Bj?rn Sand Jensen (machine learning) - Bjorn.Jensen at glasgow.ac.uk For more information and to apply online, click https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=038077 Closing Date: 18 June 2020. It is the University of Glasgow?s mission to foster an inclusive climate, which ensures equality in our working, learning, research and teaching environment. We strongly endorse the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation in promoting gender equality. The University of Glasgow, charity number SC004401. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Jun 3 18:10:42 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Thu, 4 Jun 2020 00:10:42 +0200 Subject: Connectionists: CFP; FedCSIS 2020; IEEE #49059; deadline: July 3; IEEE DL/SCOPUS indexed publication; telepresence/video conference; reduced conference fee In-Reply-To: <8ca67512-12e6-3704-1f02-22c070f59b12@amu.edu.pl> References: <8ca67512-12e6-3704-1f02-22c070f59b12@amu.edu.pl> Message-ID: <3d1a4aae-8021-f144-5fa5-16804c3f12e4@amu.edu.pl> CALL FOR PAPERS 15th Conference on Computer Science and Information Systems (FedCSIS?2020) Sofia, Bulgaria, 6-9 September, 2020 www.fedcsis.org Strict submission deadline: July 3, 2020, 23:59:59 pm HST (no extensions) (FedCSIS IEEE conference number: #49059) Accepted regular papers, (video/tele)presented during the conference, will appear as a volume of the ACSIS Series (with ISBN, ISSN and DOI numbers) and will be submitted to the IEEE for inclusion in the Xplore Digital Library. ************************* COVI-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ******************************************************************************* Please feel free to forward this announcement to your colleagues and associates who could be interested in it. KEY FACTS: expected Proceedings: IEEE Digital Library; indexing: Web of Science (since 2012); 22 Technical Sessions in 5 Tracks; Doctoral Symposium; in 2020 a video/telepresence-based conference; conference fee 150 euro. FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and information systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions focused on their scientific and professional interests in computer science and information systems. As in the previous years, FedCSIS 2020 will host a data mining challenge. It will be organized on a, recently re-designed, Knowledge Pit platform: https://knowledgepit.ai/fedcsis20-challenge/ There will also be a special session devoted to this challenge at the FedCSIS 2020 conference. Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science, SCOPUS and other indexing services. This already includes Proceedings of FedCSIS 2018 (we are awaiting the decision for the FedCSIS 2019). Information about FedCSIS indexing / bibliometry / rankings can be found at: https://www.fedcsis.org/2020/indexation. FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2020 consists of five conference Tracks, hosting Technical Sessions: Track 1: Artificial Intelligence * Advanced Artificial Intelligence in Applications (15th Symposium AAIA'20) * Advances in Semantic Information Retrieval (9th International Workshop ASIR'20) * Formal Approaches to Vagueness in Relation to Mereology (1st Symposium FVRM'20) * Language Technologies and Applications (5th Workshop LTA'20) * Computational Optimization (13th Workshop WCO'20) Track 2: Computer Science & Systems * Advances in Computer Science & Systems (ACSS'20) * Actors, Agents, Assistants, Avatars (1st Workshop 4A'20) * Computer Aspects of Numerical Algorithms (13th Workshop CANA'20) * Multimedia Applications and Processing (13th Symposium MMAP'20) * Scalable Computing (11th Workshop WSC'20) Track 3: Network Systems and Applications * Advances in Network Systems and Applications (ANSA'20) * Internet of Things - Enablers, Challenges and Applications (4rd Workshop IoT-ECAW'20) * Cyber Security, Privacy and Trust (1st International Forum NEMESIS'20) Track 4: Information Systems and Technologies * Advances in Information Systems and Technologies (AIST'20) * Data Science in Health (DSH'19) (2nd Special Session DSH'20) * Information Systems Management (15th Conference ISM'20) * Knowledge Acquisition and Management (26th Conference KAM'20) Track 5: Software and System Engineering * Advances in Software and System Engineering (ASSE'20) * Cyber-Physical Systems (7th Workshop IWCPS?20) * Lean and Agile Software Development (4th International Conference LASD'20) * Model Driven Approaches in System Development (6th Workshop MDASD'20) * Software Engineering (40th IEEE Workshop SEW?20) Track 6: DS-RAIT'20 - 7th Doctoral Symposium on Recent Advances in Information Technology KEYNOTE SPEAKERS * Christian Blum, Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain Keynote title: Are you a Hybrid? Yes, of course, everyone is a Hybrid nowadays! * George Boustras, European University Cyprus Keynote title: Critical Infrastructure Protection ? on the interface of safety and security * Hans-Georg Fill, University of Fribourg, Switzerland Keynote title: From Digital Transformation to Digital Ubiquity: The Role of Enterprise Modeling PAPER SUBMISSION AND PUBLICATION + Papers should be submitted by July 3, 2020 (strict deadline, no extensions, submission system is open). + Preprints will be published on a USB memory stick and provided to the FedCSIS participants. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will posted within the conference Web portal (as a link to the ACSIS Book Series volume ? open access). Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). IMPORTANT DATES + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 CHAIRS OF FedCSIS CONFERENCE SERIES Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki CONTACT FedCSIS at: secretariat at fedcsis.org FedCSIS in Social Media: FedCSIS on Facebook: http://tinyurl.com/FedCSISFacebook FedCSIS on LinkedIN: https://tinyurl.com/FedCSISonLinkedIN FedCSIS on Twitter: https://twitter.com/FedCSIS FedCSIS on XING: http://preview.tinyurl.com/FedCSISonXING -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From cgf at isep.ipp.pt Wed Jun 3 13:28:15 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Wed, 3 Jun 2020 18:28:15 +0100 Subject: Connectionists: CFP: ECML/PKDD 2020 Workshop on IoT Streams for Data-Driven Predictive Maintenance Message-ID: <1e432d8f-8704-e41b-ae53-e0539850f705@isep.ipp.pt> *** Apologies for cross-posting *** Call for Papers 2nd ECML/PKDD 2020 Workshop on IoT Streams for Data-Driven Predictive Maintenance ECML-PKDD 2020, September 14 ?18, 2020, Ghent-Belgium https://abifet.wixsite.com/iotstream2020 ------------------------------------------------------- Motivation and focus Maintenance is a critical issue in the industrial context for preventing high costs and injuries. Various industries are moving more and more toward digitalization and collecting ?big data? to enable or improve the accuracy of their predictions. At the same time, the emerging technologies of Industry 4.0 empowered data production and exchange, which leads to new concepts and methodologies for the exploitation of large datasets in maintenance. The intensive research effort in data-driven Predictive Maintenance (PdM) is producing encouraging results. Therefore, the main objective of this workshop is to raise awareness of research trends and promote interdisciplinary discussion in this field. Data-driven predictive maintenance must deal with big streaming data and handle concept drift due to both changing external conditions, but also normal wear of the equipment. It requires combining multiple data sources, and the resulting datasets are often highly imbalanced. The knowledge about the systems is detailed, but in many scenarios, there is a large diversity in both model configurations, as well as their usage, additionally complicated by low data quality and high uncertainty in the labels. In particular, many recent advancements in supervised and unsupervised machine learning, representation learning, anomaly detection, visual analytics and similar areas can be showcased in this domain. Therefore, the overlap in research between machine learning and predictive maintenance continues to increase in recent years. This event is an opportunity to bridge researchers and engineers to discuss emerging topics and key trends. The previous edition of the workshop at ECML 2019 has been very popular, and we are planning to continue this success in 2020. ---------------------------------------------------------- Aim and scope This workshop welcomes research papers using Data Mining and Machine Learning (Artificial Intelligence in general) to address the challenges and answer questions related to the problem of predictive maintenance. For example, when to perform maintenance actions, how to estimate components current and future status, which data should be used, what decision support tools should be developed for prognostic, how to improve the estimation accuracy of remaining useful life, and similar. It solicits original work, already completed or in progress. Position papers will also be considered. The scope of the workshop covers, but is not limited to, the following: * Predictive and Prescriptive Maintenance * Fault Detection and Diagnosis (FDD) * Fault Isolation and Identification * Anomaly Detection (AD) * Estimation of Remaining Useful Life of Components, Machines, etc. * Forecasting of Product and Process Quality * Early Failure and Anomaly Detection and Analysis * Automatic Process Optimization * Self-healing and Self-correction * Incremental and evolving (data-driven and hybrid) models for FDD and AD * Self-adaptive time-series based models for prognostics and forecasting * Adaptive signal processing techniques for FDD and forecasting * Concept Drift issues in dynamic predictive maintenance systems * Active learning and Design of Experiment (DoE) in dynamic predictive maintenance * Industrial process monitoring and modelling * Maintenance scheduling and on-demand maintenance planning * Visual analytics and interactive Machine Learning * Analysis of usage patterns * Explainable AI for predictive maintenance * ? It covers real-world applications such as: * Manufacturing systems * Transport systems (including roads, railways, aerospace and more) * Energy and power systems and networks (wind turbines, solar plants and more) * Smart management of energy demand/response * Production Processes and Factories of the Future (FoF) * Power generation and distribution systems * Intrusion detection and cybersecurity * Internet of Things * Smart cities * ? ---------------------------------------------------------- Submission and Review process Regular and short papers presenting work completed or in progress are invited. Regular papers should not exceed 12 pages, while short papers are a maximum of 6 pages. Papers must be written in English and submitted in PDF format online via the Easychair submission interface https://easychair.org/conferences/?conf=iotstream2020. Each submission will be evaluated on the basis of relevance, the significance of contribution, quality of presentation and technical quality by at least two members of the program committee. All accepted papers will be included in the workshop proceedings and will be publically available on the conference web site. At least one author of each accepted paper is required to attend the workshop to present. ---------------------------------------------------------- Important dates Workshop paper submission deadline: 11th of June 2020 Workshop paper acceptance notification: 20th of July 2020 Workshop paper camera-ready deadline: 27th of July 2020 Workshop Day: 14th of September 2020 (alternatively, 18th of September) The exact schedule, including time slots, will be published on the official ECML website ---------------------------------------------------------- Program Committee members (to be confirmed) * Carlos Ferreira, LIAAD INESC Porto LA, ISEP, Portugal * Edwin Lughofer, Johannes Kepler University of Linz, Austria * Sylvie Charbonnier, Universit? Joseph Fourier-Grenoble, France * David Camacho Fernandez, Universidad Politecnica de Madrid, Spain * Bruno Sielly Jales Costa, IFRN, Natal, Brazil * Fernando Gomide, University of Campinas, Brazil * Jos? A. Iglesias, Universidad Carlos III de Madrid, Spain * Anthony Fleury, Mines-Douai, Institut Mines-T?l?com, France * Teng Teck Hou, Nanyang Technological University, Singapore * Plamen Angelov, Lancaster University, UK * Igor Skrjanc, University of Ljubljana, Slovenia * Slawomir Nowaczyk, Halmstad University, Sweden * Indre Zliobaite, University of Helsinki, Finland * Elaine Faria, Univ. Uberlandia, Brazil * Mykola Pechenizkiy, TU Eindonvhen, Netherlands * Raquel Sebasti?o, Univ. Aveiro, Portugal * Anders Holst, RISE SICS, Sweden * Erik Frisk, Link?ping University, Sweden * Enrique Alba, University of M?laga, Spain * Thorsteinn R?gnvaldsson, Halmstad University, Sweden * Andreas Theissler, University of Applied Sciences Aalen, Germany * Vivek Agarwal, Idaho National Laboratory, Idaho * Manuel Roveri, Politecnico di Milano, Italy * Yang Hu, Politecnico di Milano, Italy * Rita Ribeiro, University of Porto, Porto, Portugal ---------------------------------------------------------- Workshop Organizers * Joao Gama, University of Porto, Porto, Portugal, jgama at fep.up.pt * Albert Bifet, Telecom-ParisTech, Paris, France, albert.bifet at telecom-paristech.fr * Moamar Sayed Mouchaweh, IMT Lille-Douai, Douai, France, moamar.sayed-mouchaweh at imt-lille-douai.fr * Grzegorz J. Nalepa, Jagiellonian University, Krakow, Poland, gjn at gjn.re * Sepideh Pashami, Halmstad University, Sweden, sepideh.pashami at hh.se 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 nicolas.navarro.guerrero at gmail.com Wed Jun 3 11:33:41 2020 From: nicolas.navarro.guerrero at gmail.com (=?UTF-8?Q?Nicol=c3=a1s_Navarro-Guerrero?=) Date: Wed, 3 Jun 2020 17:33:41 +0200 Subject: Connectionists: =?utf-8?q?CFP_Deadline_Extension_=E2=80=93_10th_I?= =?utf-8?q?EEE_International_Conference_on_Development_and_Learning_=28ICD?= =?utf-8?q?L=29=2C_Valparaiso_Chile?= Message-ID: We hope that this message finds you healthy and that you and your families are safe and well during these difficult times! Since many countries are still under heavy pressure from COVID-19 together with the fact the Southern Hemisphere is just entering winter, we have decided to reschedule the conference to the 28th to the 30th of October. The conference will be hybrid, hosting both onsite and online participants. Online participants will have a reduced fee. We have also extended the submission deadline, and already submitted papers can be modified. CALL FOR PAPERS DEADLINE EXTENDED: 10th IEEE International Conference on Development and Learning (ICDL) (This is the follow-up of the previous ICDL-EpiRob conference series) 28th-30th October 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Paper Submission Deadline: 21th June 2020 (Final Extension) Paper Author Notification: 13th July 2020 Final Paper Version Due: 16th August 2020 Conference: 28th-30th October 2020 Also, we are receiving extended abstracts, and we are hosting a Journal Track, Follow up Special Issue, Workshops and Tutorials. For more information on these and all the activities of the conference, please visit our website: https://cdstc.gitlab.io/icdl-2020/ ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicol?s Navarro-Guerrero, and Mar?a-Jos? Escobar Bridge Chairs: Minoru Asada, Fr?d?ric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Crist?bal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee,, Nicol?s -- Nicol?s Navarro-Guerrero https://nicolas-navarro-guerrero.github.io/ From hocine.cherifi at gmail.com Wed Jun 3 10:37:45 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 3 Jun 2020 16:37:45 +0200 Subject: Connectionists: Applied Network Science Special Issue on EPIDEMICS DYNAMICS & CONTROL ON NETWORKS Message-ID: *Applied Network Science Special Issue on* *EPIDEMICS DYNAMICS & CONTROL ON NETWORKS* https://appliednetsci.springeropen.com/ Networks are ubiquitous in natural, technological and social systems. They offer a fertile framework for understanding and controlling the diffusion of ideas, rumors, and infectious diseases of plants, animals and humans. Despite recent advances, many challenging scientific questions remains about the correct tools and their practical role in epidemics dynamics and effective strategies supporting public health decision making. The goal of this special issue is to offer a platform to the interdisciplinary community of scientists working on the diffusion process on networks and its plethora of applications. We hope for a broad range of topics to be covered, across theory, methodology, and application to empirical data with a special emphasis on epidemic spreading. Topics of interest include but are not limited to theoretical aspects, algorithms, methods, and fields of applications, as: ? Mobility & Epidemics ? Meta population models ? Diffusion in structured populations ? Emerging infectious diseases models ? Multi-host transmission ? Multi-pathogen / multi-strain interaction in humans, animals and plants ? Interacting spreading processes ? Spreading phenomena on multilayer networks ? Awareness & epidemic spreading ? Opinions/Ideas/Beliefs diffusion ? Multi-host / Multi-pathogen transmission ? Multilayer networks in epidemiology and ecology ? Multi-species population dynamics models ? Dynamics of infectious diseases of humans ? Dynamics of infectious diseases of livestock ? Dynamics of infectious diseases of plants ? Dynamics of infectious diseases of wildlife ? Immunization strategies ? Global and public health aspects of control and prevention ? Infectious disease surveillance ? Forecasting of Pandemic Outbreak using Machine Learning ? Pandemic spread inhibition with IoT based Machine Learning Systems ? Emerging technologies for handling Pandemic Challenges ? Effect of Pandemic at Economy ? Diffusion of information and innovations ? Memes Survey and review papers are welcome. Important dates Expression of interest and abstract submission: July 10, 2020 Abstract feedback notification: July 13, 2020 Paper submission deadline: September 21, 2020 Target publication: November 01, 2020 Papers are published upon acceptance, regardless of the Special Issue publication date. Submission Instructions We invite authors to submit a brief expression of interest containing a short outline or extended abstract (approx. 1000 words), including the topic, key concepts, methods, expected results, and conclusions. Abstracts should be submitted via easy chair to ANSEDC20 (Applied Network Science: Special Issue on Epidemics Dynamics & Control on networks) at the address: https://easychair.org/conferences/?conf=ansepidemics20 They will be reviewed to determine if the submission is in the scope of this special issue. Authors with accepted abstracts will be invited to submit their papers through the journal submission system for a full review and publication. The Lead guest editor Matja? Perc matjaz.perc at gmail.com *University of Maribor, Slovenia* The Guest editors (TBU) Hocine Cherifi *University of Burgundy, France* Joel C Miller *La Trobe University, Australia* Chiara Poletto *Inserm, France* Giulio Rosseti *University of Pisa, Italy* Onur Varol *Northeastern University, USA* *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From etsalapati at gmail.com Thu Jun 4 06:11:23 2020 From: etsalapati at gmail.com (Eleni Tsalapati) Date: Thu, 4 Jun 2020 13:11:23 +0300 Subject: Connectionists: AI4LEGAL2020 - CFP Message-ID: CALL FOR PAPERS ================ International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL2020) In the context of the International Semantic Web Conference 2020 (ISWC 2020) Virtual Event November 2 or 3, 2020 http://ai.di.uoa.gr/#iswc20-workshop Legislation applies to every aspect of people?s living and evolves continuously building a huge network of interlinked legal documents. Therefore, it is important for a government to offer services that make legislation easily accessible to the citizens aiming at informing them, enabling them to defend their rights, or to use legislation as part of their job. It is equally important to have law professionals (lawyers, judges, etc.) access legislation in ways that allow them to do their job easily (e.g., they might need to be able to see the evolution of a law over time). Finally, in the age of the Web, it is important to enable software developers to develop applications for citizens and law professionals easily, by connecting the available laws with other kinds of government or private sector information. Towards this direction, there are already many countries in Europe and elsewhere that have computerized the legislative process by developing platforms for archiving legislation documents and offering on-line access to them using standards such as Akoma Ntoso (aka LegalDocML) which is an OASIS standard, the European standard CEN-MetaLex, the European Legislation Identifier, the European Case Law Identifier etc. There also private companies (e.g., ROSS Intelligence, LexisNexis, RAVEL, LexMachina etc.) that specialize on providing digital services for law, case law, compliance, contracts, etc. The vision of the AI4LEGAL international workshop is to bring together Artificial Intelligence researchers and practitioners to work on the problem of digitization of legislation and legal documents in today?s interconnected world. Topics of Interest =================== Topics of interest include, but are not limited to: -Natural language processing techniques for legal documents -Legal knowledge graphs -Knowledge representation and reasoning techniques for legal documents -Explainable AI for legal documents -Linked data for legal documents -Machine learning techniques for legal documents -Scalable deep learning techniques for legal text analytics -Question answering for legal documents -Chatbots for legal documents -Language resources for digital legal document research and development -National or international initiatives and digital platforms for legislation -Multilingualism -Specific application areas (legislation, judicial decisions, case law, compliance, contracts) Submissions =========== Contributions to the workshop can be made in terms of long or short papers. Long papers should be at most 16 pages including references. Short papers should be of at most 8 pages including references. All contributions should be prepared in PDF format and should be submitted through the workshop submission site. -All papers and abstracts have to be submitted electronically via https://easychair.org/conferences/?conf=ai4legal2020 -All submissions must be in English. -Submissions must be in PDF formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer?s Author Instructions. -Accepted papers will be published as AI4LEGAL workshop proceedings. At least one author of each accepted paper must register for the workshop to present the paper. -The proceedings of the workshop will be made publicly available before the workshop on the platform http://ceur-ws.org/ Important Dates =============== Activities |Due Date ---------------------------------------------------------------------------- Papers due |August 17, 2020 Notification of acceptance or rejection |September 11, 2020 Camera ready paper due |September 25, 2020 All deadlines are midnight Athens time (GMT+2). Workshop Format =============== The workshop will follow the traditional format (invited talks, presentations by paper authors, questions from the audience) but will encourage discussion and identification of open issues by giving enough time for questions after presentations. Venue ====== There is no physical venue. The workshop will be held on-line like the rest of ISWC 2020. Program Chairs =============== Grigoris Antoniou, University of Huddersfield, United Kingdom ( G.Antoniou at hud.ac.uk, https://pure.hud.ac.uk/en/persons/grigoris-antoniou) Guido Governatori, Data 61 CSIRO, Australia ( Guido.Governatori at data61.csiro.au, http://www.governatori.net/research/index.html) Manolis Koubarakis, National and Kapodistrian University of Athens and Leader of Nomothesia project, Greece (koubarak at di.uoa.gr, http://cgi.di.uoa.gr/~koubarak/) Elena Montiel Ponsoda, Universidad Polit?cnica de Madrid, Spain ( emontiel at fi.upm.es, http://mayor2.dia.fi.upm.es/oeg-upm/index.php/en/teachers/52-emontiel/) Eleni Tsalapati, National and Kapodistrian University of Athens, Greece ( etsalapati at lboro.ac.uk) Program Committee ================== Nikolaos Aletras, University of Sheffield, United Kingdom Ion Androutsopoulos, Athens University of Economics and Business, Greece Karim Benyekhlef, Cyberjustice Laboratory, University of Montreal, Canada Ilias Chalkidis, Athens University of Economics and Business and NCSR Demokritos, Greece Jack G. Conrad, Thomson Reuters, United States of America Randy Goebel, University of Alberta and ROSS Intelligence, Canada Martin Kaltenb?ck, Semantic Web Company, Austria George Karvelis, Ministry of Digital Governance and European Public Law Organization, Greece John P. McCrae, Insight Centre for Data Analytics, NUI Galway, Ireland Marc van Opijnen, Publications Office of the Netherlands and European Case Law Identifier expert group, The Netherlands Jeff Z. Pan, The University of Aberdeen, UK V?ctor Rodr?guez-Doncel, Universidad Polit?cnica de Madrid, Spain Pompeu Casanovas Romeu, Autonomous University of Barcelona, Spain, and La Trobe University, Australia Ken Satoh, National Institute of Informatics and Sokendai, Japan Clara Smith, Universidad Nacional de La Plata, Argentina Martin Theobald, University of Luxembourg, Luxembourg Leon van de Torre, University of Luxembourg, Luxembourg John Zeleznikow, Victoria University, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Jun 4 06:46:21 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Thu, 4 Jun 2020 13:46:21 +0300 Subject: Connectionists: CVML Web lectures 10th June 2020: 1) Object tracking 2) Mapping and localization References: <00bd01d63a4c$46314d50$d293e7f0$@csd.auth.gr> Message-ID: <034801d63a5d$63879dd0$2a96d970$@csd.auth.gr> Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to have launched the live CVML Web lecture series that covers very important Computer Vision/Machine Learning topics. Two new upcoming 45 min lectures will take place soon: 1) Object tracking 2) Mapping and localization Date/time: Wednesday 10th June 2020, 17:00-18:30 EEST for both lectures (7:00-8:30 am California time, 10:00-11:30 am New York time, 22:00-23:30 Beijing time). Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Registration for asynchronous access to CVML live Web lecture material (video, pdf/ppt) for any past/present lecture can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lecture abstracts 1) Object tracking, Wednesday 10th June 2020, 17:00-17:45 EEST Summary: Object/target tracking is a crucial component of many computer vision systems. Many approaches on face/object tracking in videos will be overviewed, notably based on feature point tracking, or on color/texture target descriptors. Furthermore, this lecture will focus on video tracking methods using correlation filters or convolutional neural networks. Video trackers that are capable of achieving real time performance for long-term tracking on a UAV platform will be overviewed as well. 2) Mapping and localization, Wednesday 10th June 2020, 17:45-18:30 EEST Summary: This lecture includes the essential knowledge about how we obtain/get 2D and/or 3D maps that robots/drones need, taking measurements that allow them to perceive their environment with appropriate sensors. Semantic mapping includes how to add semantic annotations to the maps such as POIs, roads and landing sites. The section Localization is exploited to find the 3D drone or target location based on sensors using specifically Simultaneous mapping and localization (SLAM). Finally, the drone localization fusion is presented that improves localization and mapping accuracy by exploiting synergies between different sensor data. Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. His current interests are in the areas of machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 31000+ citations to his work and h-index 83+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Lecturing record of Prof. I. Pitas: He was Visiting/Adjunct/Honorary Professor/Researcher and lectured at several Universities: University of Toronto (Canada), University of British Columbia (Canada), EPFL (Switzerland), Chinese Academy of Sciences (China), University of Bristol (UK), Tampere University of Technology (Finland), Yonsei University (Korea), Erlangen-Nurnberg University (Germany), National University of Malaysia, Henan University (China). He delivered 90 invited/keynote lectures in prestigious international Conferences and top Universities worldwide. He run 17 short courses and tutorials on Autonomous Systems, Computer Vision and Machine Learning, most of them in the past 3 years in many countries, e.g., USA, UK, Italy, Finland, Greece, Australia, N. Zealand, Korea, Taiwan, Sri Lanka, Bhutan. Relevant links: a) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el b) AIIA Lab www.aiia.csd.auth.gr General information: Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 15 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): Introduction to autonomous systems (delivered 25th April 2020) Introduction to computer vision (delivered 25th April 2020) Image acquisition, camera geometry (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 2nd May 2020) Structure from Motion (delivered 9th May 2020) 2D convolution and correlation algorithms (delivered 9th May 2020) Motion estimation (delivered 20th May 2020) Introduction to Machine Learning (delivered 20th May 2020) Artificial Neural Networks. Perceptron (delivered 27th May 2020) Multilayer perceptron. Backpropagation (delivered 27th May 2020) Deep learning. Convolutional NNs (delivered 3rd June 2020) Deep object detection (delivered 3rd June 2020) Object tracking Localization and mapping Deep Semantic Image Segmentation Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas Director of Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Thu Jun 4 07:19:02 2020 From: Pavis at iit.it (Pavis) Date: Thu, 4 Jun 2020 11:19:02 +0000 Subject: Connectionists: 6 PHD POSITIONS ON COMPUTER VISION AT IIT PAVIS IN COLLABORATION WITH UNIVERSITA DEGLI STUDI DI GENOVA - [Jobs] In-Reply-To: References: <0b3556232947475698fa864a9212bad8@iit.it>, , Message-ID: IIT has established a collaboration with Universit? degli studi di Genova and funds 6 PhD scholarships on Computer Vision and Machine Learning. Research and training activities are jointly conducted between the DITEN Department of University and IIT infrastructures in Genoa, at the PAVIS Pattern Analysis and Computer Vision Research line, led by its Principal Investigator, Alessio Del Bue. RESEARCH TOPICS: Theme A - 3D scene understanding with geometrical and deep learning reasoning Theme B - Artificial Intelligence for Human Behavior Analysis Theme C - People and Object Re-identification in the wild Theme D - Deep Learning for Multi-modal scene understanding Theme E - Weakly Supervised and Unsupervised Deep Learning Theme F - Visual Reasoning with Knowledge and Graph Neural Networks for scene understanding Theme G - Distributed AI in sensor networks and robotic platforms Detailed description at: https://pavisdata.iit.it/data/phd/ResearchTopics2021_IIT-PAVIS PAVIS The PhD program on the listed topics will take place at the PAVIS research line of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in collaboration with other research groups in IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (related to assistive and monitoring AI systems). For more information, you can also browse the PAVIS webpage http://pavis.iit.it/ to see our activities and research. Successful candidates will be part of an exciting and international working environment and will work in brand new laboratories equipped with state-of-the-art instrumentation. Excellent communication skills in English, as well as ability to interact effectively with members of the research team, are mandatory. HOW TO APPLY In order to apply for the XXXVI Phd Course in Science and Technologies for Electronics and Telecommunication Engineering, curriculum in Computer Vision, Pattern Recognition and Machine Learning (CODE 8259) it is mandatory to refer to the procedures administered by Universita degli studi di Genova. The official call (bando di concorso) is available at this link: https://unige.it/usg/it/dottorati-di-ricerca, where the call and the annex A (allegato A) are available For the english version, see: https://unige.it/en/usg/en/phd-programmes APPLICATIONS are already possible through University of Genoa ONLINE PROCEDURE ONLY: http://servizionline.unige.it/studenti/post-laurea/dottorato WHAT TO SUBMIT: A detailed CV, a research proposal under one or more topics chosen among those above indicated, reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. Refer also to the indications stated in the annex A above mentioned. IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned. Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf For FURTHER INFORMATION on the research topics contact Dr. Del Bue at pavis at iit.it DEADLINE ONLINE APPLICATION DEADLINE is JUNE 15, 2020 at 12:00 p.m. (noon, Italian time/CEST) STRICT DEADLINE, NO EXTENSION. Apply before deadline, the application process is not immediate: don?t wait for the final day -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe.cfp at gmail.com Thu Jun 4 07:58:03 2020 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Thu, 4 Jun 2020 13:58:03 +0200 Subject: Connectionists: [job offer] Junior data scientist for Industry 4.0 project in South Spain Message-ID: <66DE83EF-0D45-494B-BB4E-41496181443F@gmail.com> Job Offer - Junior Data Scientist at UCA Datalab We seek a qualified candidate to join our team working on applied machine learning projects in Industry 4.0 within the project OPTIMALE (Optimization and Machine Learning: a two-way trip with applications), co-financed by FEDER and Junta de Andaluc?a. The selected candidate has the option to enroll on a Doctorate Program at Universidad de C?diz, using part of his work towards completion of a PhD. The contract has an initial duration of 2 years, but can be renewed up to completion of a PhD if sufficient progress is achieved. Qualification: BSc/MSc in Mathematics, Physics or Engineering. Required skills: - Python libraries for data science & ML (pandas, numpy, seaborn, scikit-learn). - Data crunching and exploratory data analysis. - Visualization tools in python environments (matplotlib, seaborn, plotly, bokeh, etc.). - Deep Learning frameworks (torch, keras, tensorflow). Desirable skills: - Time series forecasting - Optimization methods - Big data ecosystems - Cloud computing Salary: 22700 Eur/year (before tax). Expected start: Sep/Oct 2020. Interested candidates are encouraged to send their CV and motivation letter to david.gomezullate at uca.es or bernabe.dorronsoro at uca.es . Further information on the application process can be found at: https://goal.uca.es/job-offer/ Tentative deadline: June25th, 2020 (check website for details) -------------- next part -------------- An HTML attachment was scrubbed... URL: From scik at zhaw.ch Thu Jun 4 11:19:37 2020 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Thu, 4 Jun 2020 15:19:37 +0000 Subject: Connectionists: Schedule Update & Last Call: ANNPR 2020 (9th IAPR Workshop on Neural Networks in Pattern Recognition), Sept. 2nd-4th, 2020 in Winterthur, Switzerland Message-ID: ANNPR 2020 (https://annpr2020.ch/), the 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, will be held from September 2nd-4th, 2020, at Zurich University of Applied Sciences ZHAW in Winterthur, Switzerland. UPDATES: The deadline for paper submission has been extended to June 19, 2020. Confirmed: Keynote by Prof. J?rgen Schmidhuber (Swiss AI Lab IDSIA) In addition to the workshop proceedings (published by Springer LNCS), we will invite the 5 selected best accepted papers (as determined by the PC) to submit extended versions to a special issue of the MDPI Journal ?Computers? (ISSN 2073-431X), free of charge. We confirm that the conference will happen as planned, either in Winterthur or as an online event. We do not intend to postpone or cancel the conference. We will send out another update about the format of the conference, including information about registration, in the next weeks. Updated schedule: 2020-06-19: Submission Deadline 2020-06-YY: Registration opens (t.b.a.) 2020-07-10: Notification of acceptance to authors 2020-07-17: Deadline for submission of camera-ready manuscripts 2020-07-17: Early Registration closes 2020-09-02: Conference starts as planned (in-person or online-only) The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas. ANNPR is the biannual workshop organized by the http://iapr-tc3.diism.unisi.it/ on Neural Networks & Computational Intelligence of the http://www.iapr.org/http://www.iapr.org/ Among the previous editions of the workshop were ANNPR 2018 (Siena, Italy), ANNPR 2016 (Ulm, Germany), ANNPR 2014 (Montreal, Canada), ANNPR 2012 (Trento, Italy), ANNPR 2010 (Cairo, Egypt), ANNPR 2008 (Paris, France) and ANNPR 2006 (Ulm, Germany). Program: The workshop will consist of keynote talks, several sessions for presentations of accepted papers, and a poster session. Keynote speakers are J?rgen Schmidhuber (The Swiss AI Lab IDSIA, Lugano, Switzerland), Naftali Tishby (Hebrew University of Jerusalem, Israel), Bernd Feisleben (University of Marburg, Germany) and Pascal Paysan (Varian Medical Systems). In addition, there will be a dedicated industry session featuring a sponsored keynote, applied research presentations and industry exhibits / booths / demos, which will provide networking opportunities. The social program consists of a welcome reception, an excursion and a conference dinner. Topics: ANNPR 2020 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues: ? Supervised, semi-supervised, unsupervised and reinforcement learning ? Deep learning & deep reinforcement learning ? Feed-forward, recurrent, and convolutional neural networks ? Generative models ? Interpretability & explainability of neural networks ? Robustness & generalization of neural networks ? Meta-learning, Auto-ML Applications to Pattern Recognition: ? Image classification and segmentation ? Object detection ? Document analysis, e.g. handwriting recognition ? Sensor-fusion and multi-modal processing ? Biometrics, including speech and speaker recognition and segmentation ? Data, text, and web mining ? Bioinformatics and medical applications ? Industrial applications, e.g. quality control and predictive maintenance Paper Submission (Deadline: June 19, 2020): Papers are invited to be submitted via EasyChair. There will be a peer review process before acceptance. The page limit is 12 pages. For instructions, see https://annpr2020.ch/cfp/. Accepted papers will be published as a special volume of the Springer Lecture Notes in Artificial Intelligence (LNAI) series. For previous editions, see https://link.springer.com/conference/annpr. Organization: The workshop is organized by the Institute of Applied Information Technology (InIT) at the ZHAW School of Engineering. The program committee is listed at https://annpr2020.ch/organisation/ Chairs: Dr. Frank-Peter Schilling (chair), Prof. Dr. Thilo Stadelmann (co-chair) Venue: ZHAW is one of the leading universities of applied sciences in Switzerland, with around 13 000 students and host to one of Europe?s first and largest dedicated research centers for Data Science. ZHAW?s School of Engineering is one of the leading Engineering Faculties in Switzerland. Our 13 institutes and centres guarantee superior-quality education, research and development with an emphasis on the areas of energy, mobility, information and health. Winterthur is the sixth-largest city of Switzerland with around 110 000 inhabitants. It is located in eastern Switzerland, approximately 20 km from Zurich. The Zurich region is the hub of the digital economy in Switzerland, hosting companies like Google, NVIDIA, IBM and Facebook, which have a high natural affinity to neural networks and pattern recognition. It is also host to world famous universities such as ETH Zurich and University of Zurich UZH, as well as to several universities of applied sciences including the ZHAW. The Swiss AI Institute IDSIA in Lugano, as well as the Swiss Data Science Center SDSC by ETH Zurich and EPFL Lausanne complete the Artificial Intelligence and Machine Learning landscape in the region. -------------- next part -------------- An HTML attachment was scrubbed... URL: From emmanuel.vincent at inria.fr Thu Jun 4 09:47:14 2020 From: emmanuel.vincent at inria.fr (Emmanuel Vincent) Date: Thu, 4 Jun 2020 15:47:14 +0200 Subject: Connectionists: Final CFP -- SI on Advances in Deep Learning Based Speech Processing -- Deadline: June 30, 2020 Message-ID: <958f05ef-34d7-b28f-452e-57d82d67156b@inria.fr> NEURAL NETWORKS https://www.journals.elsevier.com/neural-networks Special issue on *Advances in Deep Learning Based Speech Processing * *Deadline: June 30, 2020* Deep learning has triggered a revolution in speech processing. The revolution started from the successful application of deep neural networks to automatic speech recognition, and quickly spread to other topics of speech processing, including speech analysis, speech denoising and separation, speaker and language recognition, speech synthesis, and spoken language understanding. This tremendous success has been achieved thanks to the advances in neural network technologies as well as the explosion of speech data and fast development of computing power. Despite this success, deep learning based speech processing still faces many challenges for real-world wide deployment. For example, when the distance between a speaker and a microphone array is larger than 10 meters, the word error rate of a speech recognizer may be as high as over 50%; end-to-end deep learning based speech processing systems have shown potential advantages over hybrid systems, however, they require large-scale labelled speech data; deep learning based speech synthesis has been highly competitive with human-sounding speech and much better than traditional methods, however, the models are not stable, lack controllability and are still too large and slow to be deployed onto mobile and IoT devices. Therefore, new methods and algorithms in deep learning and speech processing are needed to tackle the above challenges, as well as to yield novel insights into new directions and applications. This special issue aims to accelerate research progress by providing a forum for researchers and practitioners to present their latest contributions that advance theoretical and practical aspects of deep learning based speech processing techniques. The special issue will feature theoretical articles with novel new insights, creative solutions to key research challenges, and state-of-the-art speech processing algorithms/systems that demonstrate competitive performance with potential industrial impacts. The ideas addressing emerging problems and directions are also welcome. *Topics of interest* for this special issue include, but are not limited to: ? ? Speaker separation ? ? Speech denoising ? ? Speech recognition ? ? Speaker and language recognition ? ? Speech synthesis ? ? Audio and speech analysis ??? Multimodal speech processing *Submission instructions: * Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at https://www.editorialmanager.com/neunet/default.aspx. Authors should select ?VSI: Speech Based on DL" when they reach the "Article Type" step and the "Request Editor" step in the submission process. *Important dates: * June 30, 2020 - Submission deadline September 30, 2020 - First decision notification November 30, 2020 - Revised version deadline December 31, 2020 - Final decision notification March, 2021 - Publication *Guest Editors: * Xiao-Lei Zhang, Northwestern Polytechnical University, China Lei Xie, Northwestern Polytechnical University, China Eric Fosler-Lussier, Ohio State University, USA Emmanuel Vincent, Inria, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From sabu.thampi at iiitmk.ac.in Thu Jun 4 13:46:49 2020 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Thu, 4 Jun 2020 23:16:49 +0530 Subject: Connectionists: Call for Papers - Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA'20) Message-ID: Apologies for cross-postings! ** Please forward to anyone who might be interested ** ------------------------------------------------------------------------------------------------------------- Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA'20) October 14-17, 2020, Chennai, India http://www.acn-conference.org/2020/somma2020/ Submission Deadline: July 15, 2020 EDAS Submission Link: https://edas.info/N27452 Proceedings by Springer in Communications in Computer and Information Science Series(CCIS) - Scopus Indexed --------------------------------------------------------------------------------------------------------------- CALL FOR PAPERS SoMMA'20 aims to provide a forum for scientists and researchers to present their latest results and a means to discuss the recent developments in machine learning, metaheuristics, and their applications. The technical program of the symposium will include tutorials, regular technical sessions, workshops and plenary/keynote speeches. All accepted papers will be published by Springer in Communications in Computer and Information Science Series(CCIS). The proceedings will be available via the SpringerLink digital library. CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, and Scopus. CCIS volumes are also submitted for inclusion in ISI Proceedings. The organizers solicit previously unpublished papers offering novel research contributions in any aspect of machine learning, metaheuristics, and their applications. Topics of interest include, but are not limited to, the following: METAHEURISTICS ALGORITHMS ----------------------------- -- Animal Migration Optimization -- Ant Colony Optimization -- Ant Lion Optimization Algorithm -- Artificial Algae Algorithm -- Artificial Bee Colony Algorithm -- Artificial Chemical Process Algorithm -- Artificial Ecosystem Algorithm -- Artificial Fish Swarm Optimization -- Artificial Immune Systems -- Bacterial Evolutionary Algorithm -- Bat Algorithm -- Bird Mating Optimizer -- Bull Optimisation Algorithm -- Bumble Bees Mating Optimization -- Cellular Automata -- Central Force Optimization -- Chaos Optimization Algorithm -- Chemical Reaction Algorithm -- Chicken Swarm Optimization -- Collective Animal Behavior -- Construct, Merge, Solve & Adapt -- Coral Reefs Optimization -- Cuckoo Search -- Cultural Algorithms -- Cuttlefish Algorithm -- Differential Evolution -- Dragonfly Algorithm -- Earthworm Optimization -- Elephant Herd Algorithm -- Emperor Penguins Colony -- Evolutionary Computation and Metaheuristics -- Firefly Algorithm -- Forest Optimization Algorithm -- Fuzzy-metaheuristic Methods -- Genetic Programming -- Grasshopper Optimization Algorithm -- Gravitational Search Algorithm -- Greedy Randomized Adaptive Search -- Grey Wolf Optimizer -- Group Search Optimizer -- Guided Local Search & Fast Local Search -- Harmony Search -- Honey-Bees Mating Optimization -- Hunting Search Algorithm -- Krill Herd Algorithm -- Intelligent Water Drops Algorithm -- Iterated Local Search -- Locust Search Algorithm -- Memetic Algorithms -- Meta-Heuristic Algorithms for Deep Learning -- Mine Blast Algorithm -- Monarch Butterfly Optimization -- Moth-Flame Optimization Algorithm -- Multi-objective Optimisation -- Multiple Operator Metaheuristics -- Neighborhood Search Metaheuristics -- Parliamentary Optimization Algorithm -- Particle Swarm Optimization -- Photosynthetic and Enzyme Algorithm -- Physarum Polycephalum Algorithm -- Population Based Metaheuristics -- Rainfall Optimization Algorithm -- River Formation Dynamics -- Roach Infestation Optimization -- Salp Swarm Algorithm -- Scatter Search -- Seed-Based Plant Propagation Algorithm -- Sheep Flocks Heredity Model Algorithm -- Shuffled Frog Leaping Algorithm -- Simulated Annealing -- Social Cognitive Optimization -- Social Spider Optimization -- Sperm Swarm Optimization Algorithm -- Spiral Optimization Algorithm -- Stellar-Mass Black Hole Optimization -- Stochastic Search -- Strawberry Algorithm -- Tabu Search -- Teaching-Learning-Based Optimization -- Team Game Algorithm -- The States of Matter Search -- Tree Physiology Optimization -- Variable Neighbourhood Search -- Water Wave Optimization -- Whale Optimization Algorithm -- Wind-Driven Optimization MACHINE LEARNING TECHNIQUES ------------------------------- -- Adversarial Learning -- Analogical Learning Methods -- Bayesian Models and Methods -- Bayesian Networks -- Biologically Inspired Machine Learning -- Case-Based Reasoning and Associative Memory -- Classification and Clustering -- Cognitive Modeling -- Collaborative Filtering -- Computational Learning Theory -- Conceptional Learning and Clustering -- Connectionist Networks -- Convolutional Neural Networks -- Cooperative Machine Learning -- Deep Learning -- Distributed Machine Learning -- Embedded Machine Learning -- Ensemble Methods -- Evolutionary Computation and Deep Neural Networks -- Explanation-Based Learning -- Feature Learning -- Formal Modeling for Machine Learning Techniques -- Fuzzy Logic and Machine Learning -- Genetic Algorithms and Machine Learning -- Graphical Models -- Hybrid Learning Algorithms -- Indefinite Proximity Learning -- Inductive Learning -- Kernel Machines K-Nearest Neighbor Classifier -- Knowledge Representation in Machine Learning -- Large-Scale Machine Learning -- Learning Decision and Regression Trees -- Learning through Fuzzy Logic -- Loopy Belief Propagation -- Multi-Agent Learning -- Multi-Strategy Learning -- Neural Network Learning -- Online and Incremental Learning -- Organisational Learning and Evolutional Learning -- Recurrent Network Architectures -- Reinforcement Learning -- Relevance Vector Machine -- Rough Sets Theory and Machine Learning -- Scalability of Learning Algorithms -- Secure Machine Learning Algorithms -- Statistical and Evolutionary Learning -- Stochastic Gradient Descent -- Support Vector Machine -- Time Series and Sequential Pattern Mining -- Transfer Learning -- Self-Organizing Maps and Vector Quantization APPLICATIONS OF MACHINE LEARNING AND META-HEURISTIC ALGORITHMS ----------------------------------------------------------------- -- Affective Computing -- Autonomic Control Systems -- Automatic Driving -- Behavioural Analytics/Graph Analytics -- Biometric Applications -- Blockchain and Deep Learning -- Brain-Computer Interfaces -- Cognitive Imaging and Processing -- Cognitive Radio Networks -- Computer Vision & Image Processing -- Context-Awareness and Intelligent Environment Applications -- Cyber-Physical Systems -- Cyber Defense -- Data Analysis and Intelligent Optimization -- Digital Forensics -- Digital Twin/AI Modeling -- Emotion Recognition -- Experience Economy/Financial Engineering and Time Series Forecasting -- Game Playing and Problem Solving -- Hyper Personalisation -- Intelligent Cloud and Intelligent Edge -- Intelligent Human-Computer Interaction -- Intrusion Detection Systems -- Intelligent Transport Systems and Smart Mobility -- Intelligent Virtual Environments -- Internet of Things and Sensor Networks -- Multi-sensor Intelligent Information Fusion -- Neuroscience and Behavior Analysis in Robotics -- Neuromorphic Computing -- Online Social Networks -- Pattern Recognition -- Peer-to-Peer Networks -- Recommender Systems -- Smart Grid -- Smart Surveillance Systems -- Smart Healthcare and Disease Analytics -- Smart Living and Smart Cities -- Speech and Natural Language Processing -- Trust Management All papers that conform to submission guidelines will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. Acceptance of papers will be communicated to authors by email. Independently of the presentation type, all papers are included in the proceedings. Committee ----------- http://www.acn-conference.org/2020/somma2020/committee.html Important Dates ------------------ Submission Deadline: July 15, 2020 Acceptance Notification: August 30, 2020 Final Paper Deadline: September 22, 2020 Journal Special Issue: ------------------------- Authors of the best papers of SoMMA'20 will be invited to submit the extended version of their manuscripts to the Special Issue on: "Intelligent Embedded Systems" in the International Journal of Embedded Systems, Inderscience Publishers (Indexed in Scopus, Emerging Sources Citation Index, DBLP etc..) Contact Us ----------- E-mail: somma.symposium at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From shobeir at gmail.com Thu Jun 4 15:43:32 2020 From: shobeir at gmail.com (Shobeir Fakhraei) Date: Thu, 4 Jun 2020 12:43:32 -0700 Subject: Connectionists: [CFP] ACM KDD MLG'20 -- 16th International Workshop on Mining and Learning with Graphs Message-ID: 16th International Workshop on Mining and Learning with Graphs (MLG 2020) August 24, 2020 In conjunction with KDD (Virtual Conference) http://www.mlgworkshop.org/2020/ Submission Deadline: June 15, 2020 Due to public health concerns in light of the unfolding COVID-19 outbreak, we follow ACM SIGKDD and the KDD 2020 organizing committee guidelines and will hold MLG as a virtual workshop. Call for papers: This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances in graph analysis. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for mining and learning with graphs. To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications and empirical studies. As an example, the growth of user-generated content on blogs, microblogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of social media. We encourage submissions on theory, methods, and applications focusing on a broad range of graph-based approaches in various domains. Topics of interest include, but are not limited to: - Theoretical aspects: - Computational or statistical learning theory related to graphs - Theoretical analysis of graph algorithms or models - Sampling and evaluation issues in graph algorithms - Analysis of dynamic graphs - Algorithms and methods: - Graph mining - Probabilistic and graphical models for structured data - Heterogeneous/multi-model graph analysis - Network embedding models - Statistical models of graph structure - Combinatorial graph methods - Semi-supervised learning, active learning, transductive inference, and transfer learning in the context of graph - Applications and analysis: - Analysis of social media - Analysis of biological networks - Knowledge graph construction - Large-scale analysis and modeling We welcome many kinds of papers, such as, but not limited to: - Novel research papers - Demo papers - Work-in-progress papers - Visionary papers (white papers) - Appraisal papers of existing methods and tools (e.g., lessons learned) - Relevant work that has been previously published - Work that will be presented at the main conference Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, no more than 8 pages long ? shorter papers are welcome ? and formatted according to the standard double-column ACM Proceedings Style . The accepted papers will be published on the workshop?s website and will not be considered archival for re-submission purposes. Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and some set will also be chosen for oral presentation. Timeline: Submission Deadline: June 15, 2020 Notification: July 15, 2020 Final Version: August 1, 2020 Workshop: August 24, 2020 Submission instructions can be found on http://www.mlgworkshop.org/2020/ Please send enquiries to chair at mlgworkshop.org Organizers: Shobeir Fakhraei (Amazon) Aude Hofleitner (Facebook) Julian McAuley (University of California, San Diego) Bryan Perozzi (Google Research) Tim Weninger (University of Notre Dame) Program Committee: Siddharth Bhatia (National University of Singapore), Jundong Li (University of Virginia), Xin-Zeng Wu (Information Sciences Institute), Stefano Leucci (University of L'Aquila), Jin Kyu Kim (Facebook), Hocine Cherifi (University of Burgundy), Dhivya Eswaran (Amazon), Ting Chen (University of California, Los Angeles), Ivan Brugere (University of Illinois at Chicago), Yuan Fang (Singapore Management University), Blaz Novak (Jozef Stefan Institute), Sucheta Soundarajan (Syracuse University), Fred Morstatter (University of Southern California), Acar Tamersoy (NortonLifeLock Research Group), John Palowitch (Google), Austin Benson (Cornell University), Hanghang Tong (University of Illinois at Urbana-Champaign), Larry Holder (Washington State University), Aaron Clauset (University of Colorado Boulder), Jan Ramon (INRIA), Christian Bauckhage (Fraunhofer), Bryan Hooi (National University of Singapore), William Hamilton (Stanford University), Aris Anagnostopoulos (Sapienza University of Rome), Ulf Brefeld (Leuphana Universit?t L?neburg), Ali Pinar (Sandia National Laboratories), Alessandro Epasto (Google), Danai Koutra (University of Michigan), Evangelos Papalexakis (University of California Riverside), Stefan Wrobel (Fraunhofer IAIS & Univ. of Bonn), Ana Paula Appel (IBM Research Brazil), Marco Bressan (Sapienza University of Rome) To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list or follow the twitter account: https://twitter.com/mlgworkshop We look forward to seeing you at the workshop! -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Thu Jun 4 18:23:00 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 5 Jun 2020 00:23:00 +0200 Subject: Connectionists: CFP: Software and System Engineering (SSE); FedCSIS 2020 Track; IEEE #49059; Deadline: July 3, 2020; telepresence/video conference In-Reply-To: <22d6a65e-f5c1-d6cf-e205-6b7546633f78@ibspan.waw.pl> References: <22d6a65e-f5c1-d6cf-e205-6b7546633f78@ibspan.waw.pl> Message-ID: CALL FOR PAPERS *********************************************************************** Track 5: Software and System Engineering (SSE) https://www.fedcsis.org/2020/sse Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020) Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ ************************* COVI-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ AIMS & SCOPE SSE is a FedCSIS conference track aiming at integrating and creating synergy between technical sessions that thematically subscribe to the discipline of software engineering. The track emphasizes the issues relevant to developing and maintaining software systems that behave reliably, efficiently and effectively. This track investigates both established traditional approaches and modern emerging approaches to large software production and evolution. For decades, it is still an open question in software industry, how to provide fast and effective software process, and how to come to the software systems, embedded systems, autonomous systems, or cyber-physical systems that will address the open issue of supporting information management process in many, particularly complex organization systems. Even more, it is a hot issue how to provide a synergy between systems in common and software services as mandatory component of each modern organization, particularly in terms of IoT, Big Data, and Industry 4.0 paradigms. In recent years, we are the witnesses of great movements in the area of software and system engineering (SSE). Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods in SSE as a discipline that helps in a support of the whole information life cycle in organization systems. Despite that, one of the hot issues in practice is still how to effectively develop and maintain complex systems from various aspects, particularly when software components are crucial for addressing declared system goals, and their successful operation. It seems that nowadays we have great theoretical potentials for application of new and more effective approaches in SSE. However, it is more likely that real deployment of such approaches in industry practice is far behind their theoretical potentials. The main goal of Track 5 is to address open questions and real potentials for various applications of modern approaches and technologies in SSE so as to develop and implement effective software services in a support of information management and system engineering. We intend to address interdisciplinary character of a set of theories, methodologies, processes, architectures, and technologies in disciplines such as: Software Engineering Methods, Techniques, and Technologies, Cyber-Physical Systems, Lean and Agile Software Development, Design of Multimedia and Interaction Systems, Model Driven Approaches in System Development, Development of Effective Software Services and Intelligent Systems, as well as applications in various problem domains. We invite researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies related to modern approaches in SSE. We express an interest in gathering scientists and practitioners interested in applying these disciplines in industry sector, as well as public and government sectors, such as healthcare, education, or security services. Experts from all sectors are welcomed. Track 5 includes technical sessions (for more information check their individual WWW sites): * Advances in Software and System Engineering (ASSE'20) * Cyber-Physical Systems (7th Workshop IWCPS-7) * Lean and Agile Software Development (4th International Conference LASD'20) * Model Driven Approaches in System Development (6th Workshop MDASD'20) * Software Engineering (40th IEEE Workshop SEW-40) There is a possibility of selecting extended versions of the best papers from Track 5 presented during the conference for potential inclusion in the journals: ComSIS, ISI IF(2018) = 0.620, and COLA, ISI IF(2017) = 0.971 IMPORTANT DATES Paper submission (sharp / no extension): May 29, 2020 Position paper submission: June 23, 2020 Author notification: July 15, 2020 Final paper submission and registration: July 31, 2020 Conference date: September 6-9, 2020 SUBMISSION GUIDLINES: FedCSIS announces two separate calls for papers, with the deadlines for submissions about three weeks apart: Call for Regular Papers and Call for Position Papers. Papers submitted within the Call for Regular Papers can be accepted, by the event?s Program Committee, in one of the three categories: full papers, short papers or communication papers. Full and short papers constitute Proceedings of the FedCSIS conference ? they are published electronically in a volume of ?Annals of Computer Science and Information Systems? (ACSIS) and are submitted for inclusion in the IEEE Xplore Digital Library. ACSIS Volumes with Proceedings of the FedCSIS conference are submitted for indexation in Web of Science, SCOPUS, DBLP, Index Copernicus and other indexing services (see, Indexation for more details). Communication papers and Position papers are published in separate ACSIS volume(s) and they are not submitted to the IEEE Xplore DL. For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions IMPORTANT DATES + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 TRACK CHAIRS: Ivan Lukovic, University of Novi Sad, Serbia Geylani Kardas, Ege University International Computer Institute, Turkey Manuel Mazzara, Innopolis University, Russia -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From muftimahmud at gmail.com Fri Jun 5 02:54:09 2020 From: muftimahmud at gmail.com (Mufti Mahmud) Date: Fri, 5 Jun 2020 07:54:09 +0100 Subject: Connectionists: [Final CfP]: Brain Informatics 2020 - Virtual Conference - Deadline 15 June 2020. In-Reply-To: References: Message-ID: [Apologies if you receive this more than once] *----------------------------* *CALL FOR PAPERS * *----------------------------* The 13th International Conference on Brain Informatics (BI2020) September 19, 2020, Virtual Conference Homepage: http://www.bi2020.org/ ------------------------------------------------------------------------ Brain Informatics in the Virtual World ------------------------------------------------------------------------ Papers Submission Deadline: June 15, 2020. Abstracts Submission Deadline: July 1, 2020. Registration Fee: GBP ? 100.00 (One Hundred Only) * On-line Submission of Papers/Abstracts: https://wi-lab.com/cyberchair/2020/bi20/scripts/submit.php?subarea=B The International Conference on Brain Informatics series (BI) has established itself as the world's premier research forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. The 13th International Conference on Brain Informatics (BI2020) will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings, and strategies in brain informatics research and brain-inspired concepts and technologies. It welcomes emerging technologies for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for brain disorders or injury, and for generating brain-inspired "smart" artificial intelligence and computing technologies to meet future societal needs. It will educate and expand the brain informatics workforce and create new career opportunities for brain research and related innovations. *** Topics and Areas for Parallel Presentations *** The BI2020 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing *----------------------------------------------- * * Paper Submission and Publications * *----------------------------------------------- * Paper Submission: Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines ( available here: https://www.springer.com/jp/computer-science/lncs/conference-proceedings-guidelines ) for the initial submissions. All papers must be submitted electronically in PDF and DOC/RTF format in the Springer LNCS/LNAI style and should be limited to a maximum of 10 pages including figures and references. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal ( https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors. Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal ( https://braininformatics.springeropen.com/). *----------------------------------------------------* * Abstract Submission and Publications * *----------------------------------------------------* Research abstracts are encouraged and will be accepted for presentations in an oral presentation format. Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Authors: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. * On-line Submission of Abstracts: https://wi-lab.com/cyberchair/2020/bi20/scripts/submit.php?subarea=B *---------------------------- * * IMPORTANT DATES * *---------------------------- * 15 June 2020: Papers submission deadline 1 July 2020: Notification of paper acceptance 1 July 2020: Submission of abstracts 15 July 2020: Notification of abstract acceptance 1 August 2020: Early-bird registration 1 August 2020: Paper registration deadline 19 September 2020: Main conference Conference Venue ================ Full Virtual Conference ORGANIZERS =========== General Chairs Mufti Mahmud (Nottingham Trent University, UK) Stefano Vassanelli (University of Padova, Italy) M Shamim Kaiser (Jahangirnagar University, Bangladesh) Ning Zhong (Maebashi Institute of Technology, Japan) Advisors Maurizio Corbetta (Padova Neuroscience Center, Italy) Amir Hussain (Edinburgh Napier University, UK) Hanchuan Peng (SEU-Allen Institute for Brain & Intelligence, China) Qionghai Dai (Tsinghua University, China) Committee Members Alessandra Bertoldo (University of Padova, Italy) Michela Chiappalone (Italian Institute of Technology, Italy) Michele Giugliano (International School for Advanced Studies, Italy) Xiaohui Tao (University of Southern Queensland, Australia) Marzia Hoque Tania (Anglia Ruskin University, UK) Peipeng Liang (Capital Normal University, China) Alberto Testolin (University of Padova, Italy) Yang Yang (Maebashi Institute of Technology, Japan) Marco Dal Maschio (University of Padova, Italy) Samir Suweis (University of Padova, Italy) Marco Zorzi (University of Padova, Italy) Saiful Azad (University of Malaysia Pahang, Malaysia) Claudia Cecchetto (Okinawa Institute of Science & Tech., Japan) Zhiqi Mao (Chinese PLA General Hospital, China) Shouyi Wang (University of Texas at Arlington, USA) Vicky Yamamoto (USC Keck School of Medicine, USA) Kind regards, Mufti Mahmud, PhD | Senior Member - IEEE & ACM, Member - BCS, FHEA Senior Lecturer of Computing & Technology | Nottingham Trent University Associate Editor, IEEE Access & Brain Informatics Editorial Board Member, Cognitive Computation & Big Data Analytics Editor, Special Issue on Data-Driven AI Approaches to Combat COVID-19 Editor, Special Issue on Machine Learning Techniques for Neuroscience Big Data Editor, Special Issue on Advances in Deep Learning for Clinical and Healthcare Applications General Chair, Brain Informatics 2020, Padova, Italy Local Organising Chair, IEEE WCCI2020, Glasgow, UK Programme Chair, IEEE CICARE2020, Canberra, Australia Office: ERD200 | Clifton Campus | Clifton Lane | NG11 8NS ? Nottingham | United Kingdom Phone: +44 (0)115 84 83202 | Email: mufti.mahmud at ntu.ac.uk http://orcid.org/0000-0002-2037-8348 https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud -------------- next part -------------- An HTML attachment was scrubbed... URL: From daneshtarapore at gmail.com Fri Jun 5 05:58:23 2020 From: daneshtarapore at gmail.com (Danesh Tarapore) Date: Fri, 5 Jun 2020 10:58:23 +0100 Subject: Connectionists: [JOBS] PhD studentship on Aerial Robot Swarms Message-ID: Hi, We have an opening for a PhD student to work on Long-Term Autonomy for Aerial Robot Swarms funded by the Centre of Excellence for In situ and Remote Intelligent Sensing at the University of Southampton . Visit https://daneshtarapore.com/aerial-swarms for details. Best wishes, Danesh. --- Dr Danesh Tarapore Assistant Professor, Electronics and Computer Science University of Southampton. SO17 1BJ. UK. Tel: (+44) (0) 23 805 99255 http://daneshtarapore.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From kendrick.kay at gmail.com Fri Jun 5 07:43:43 2020 From: kendrick.kay at gmail.com (Kendrick Kay) Date: Fri, 5 Jun 2020 06:43:43 -0500 Subject: Connectionists: Announcing CCN Generative Adversarial Collaborations 2020 Message-ID: This year, given that CCN 2020 has been postponed until 2021, we are organizing a novel event series called CCN Generative Adversarial Collaborations 2020 . This event aims to engage the CCN community and identify, debate, and then begin to address the most challenging, controversial, and exciting theoretical and empirical questions in our field. Full information on CCN GAC 2020 is provided at https://gac.ccneuro.org. Please note that the first upcoming deadline for letters of intent (optional but highly encouraged) is June 21, 2020. Best wishes and stay safe, ? CCN organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Fri Jun 5 12:25:25 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Fri, 5 Jun 2020 18:25:25 +0200 Subject: Connectionists: ICMI 2020 Doctoral Consortium - 2nd Call for Contributions Message-ID: === COVID-19 Announcement === Dear all, We are investigating ways to hold ICMI2020 as a virtual conference or as a partially virtual conference. In any case, the ICMI2020 proceedings will be published as scheduled. Best, the organizing team of ICMI2020. =============================== *** ICMI 2020 Doctoral Consortium - 2nd Call for Contributions *** The goal of the ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. 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 designing and developing multimodal interfaces. We expect to provide economic support to most attendees that will cover part of their costs (travel, registration, meals etc.). = Who should apply? = While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the 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, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply. = Why should you attend? = The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research and whom you can talk to during the lunch. We specifically aim to create an informal setting where students feel supported in their professional development. = Agenda = - 09:00 - 09:30: Invited talk - 09:30 - 11:00: DC talks 1 - 11:00 - 11:30: Coffee break - 11:30 - 13:00: DC talks 2 - 13:00 - 14:30: Lunch mentoring session - 14:30 - 15:15: Panel discussion (senior PhD students and recent graduates) - 15:15 - 15:45: Coffee break - 15:45 - 17:00: Table discussions (small group discussions about topics of interest) = Submission Guidelines = Graduate students pursuing a PhD degree in a field related to designing multimodal interfaces should submit the following materials: 1. Extended Abstract: A four-page description of your PhD research plan and progress in the ACM SigConf format. Your extended abstract should follow the same outline, details, and format of the ICMI short papers. The submissions will not be anonymous. In particular, it should cover: - The key research questions and motivation of your research; - Background and related work that informs your research; - A statement of hypotheses or a description of the scope of the technical problem; - Your research plan, outlining stages of system development or series of studies; - The research approach and methodology; - Your results to date (if any) and a description of remaining work; - A statement of research contributions to date (if any) and expected contributions of your PhD work; 2. Advisor Letter: A one-page letter of nomination from the student's PhD advisor. This letter is not a letter of support. Instead, it should focus on the student's PhD plan and how the Doctoral Consortium event might contribute to the student's PhD training and research. 3. CV: A two-page curriculum vitae of the student. All materials should be prepared in PDF format and submitted through the ICMI submission system. = Review Process = The Doctoral Consortium will follow a review process in which submissions will be evaluated by a number of factors including (1) the quality of the submission, (2) the expected benefits of the consortium for 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 multimodal interfaces 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 this year's Doctoral Consortium cohort. We do not expect more than two students to be invited from each institution to represent a diverse sample. Women and other underrepresented groups are especially encouraged to apply. = Financial Support = The conference is pleased to offer partial financial support for doctoral students participating in the Doctoral Consortium and attending the conference. Only students who apply and are accepted for participation in the Doctoral Consortium can be considered for financial support. The number and size of the offers of financial support are contingent upon the number of invited student participants. = Attendance = All authors of accepted submissions are expected to attend the Doctoral Consortium and the main conference poster session. The attendees will present their PhD work as a short talk at the Consortium and as a poster at the conference poster session. A detailed program for the Consortium and the participation guidelines for the poster session will be available after the camera-ready deadline. = Process = ? Submission format: Four-page extended abstract using the ACM format ( https://www.acm.org/publications/proceedings-template#aL2) ? Submission system: https://new.precisionconference.com/user/login?society=sigchi/ ? Selection process: Peer-Reviewed ? Presentation format: Talk on consortium day and participation in the conference poster session ? Proceedings: Included in conference proceedings and ACM Digital Library ? Doctoral Consortium Co-chairs: Juliet Haarman (University of Twente) Emily Mower Provost (University of Michigan) and Catharine Oertel (TU Delft). = Important Dates = *Submission deadline: July 5, 2020 (23:59PM, PST)* Notifications: August 10, 2020 Camera-ready: September 2nd, 2020 Doctoral Consortium date: October 25, 2020 = Questions? = For more information and updates on the ICMI 2020 Doctoral Consortium, visit the Doctoral Consortium page of the main conference website ( http://icmi.acm.org/2020/index.php?id=cfdc) For further questions, contact the Doctoral Consortium co-chairs: - Emily Mower Provost (emilykmp at umich.edu) - Catharine Oertel (C.R.M.M.Oertel at tudelft.nl) - Juliet Haarman (j.a.m.haarman at utwente.nl) -------------- next part -------------- An HTML attachment was scrubbed... URL: From riccardo.guidotti at unipi.it Sat Jun 6 06:44:16 2020 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Sat, 6 Jun 2020 12:44:16 +0200 Subject: Connectionists: XKDD 2020 Deadline Extension Message-ID: New Deadline: 11 June 2020!!! XKDD 2020 - Call for Papers ------------------------------------------------------------------------- 2nd International Workshop on eXplainable Knowledge Discovery in Data Mining ------------------------------------------------------------------------- COVID-19 PLAN In line with the organization of ECML-PKDD 2020, also the organizers of XKDD 2020 are working on COVID-19 contingency plans. The workshop will not be postponed: it will take place as planned. Thus, all accepted contributions will be published, presented, etc, as normal (although presentations might take a different form). We are developing plans in case the conference needs to be organised virtually. For sure it will be possible to participate online and provide video for replacing online talks when they are not possible. Final decisions on the modalities will be taken and communicated as soon as possible, and in any case before the early registration deadline. CONTEXT & OBJECTIVES In the past decade, machine learning based decision systems have been widely used in a plethora of applications ranging from credit score, insurance risk, and health monitoring, in which accuracy is of the utmost importance. Although the application of these systems may bring myriad benefits, their use might involve some ethical and legal risks, such as codifying biases; jeopardizing transparency and privacy, reducing accountability. Unfortunately, these risks increase and are made more serious by the opacity of these 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 the various initiatives that in the world 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. The workshop will seek top-quality submissions addressing uncovered important issues related to ethical, 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 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 2020 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/xkdd2020/ 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 the following: https://easychair.org/conferences/?conf=xkdd2020 IMPORTANT DATES Paper Submission deadline: Thursday, 11 June, 2020 Accept/Reject Notification: Tuesday, 7 July, 2020 Camera-ready deadline: Tuesday, 21 July, 2020 Workshop: Monday, 14 September, 2020 PROGRAM CO-CHAIRS * Riccardo Guidotti, University of Pisa, Italy * Anna Monreale, University of Pisa, Italy * Salvatore Rinzivillo, ISTI-CNR, Pisa, Italy * Przemyslaw Biecek, Warsaw University of Technology, Poland INVITED SPEAKERS * Francesco Bonchi, ISI Foundation, Italy * Christoph Molnar, Ludwig-Maximilians-University of Munich, Germany PROGRAM COMMITTEE Osbert Bastani, University of Pennsylvania, US Livio Bioglio, University of Turin, Italy Tobias Blanke, King's College London, UK Francesco Bonchi, ISI Foundation, Italy Giuseppe Casalicchio, Ludwig-Maximilians-University of Munich, Germany Chaofan Chen, Duke University, UK Luca Costabello, Accenture Labs Dublin, Ireland Mark Cot?, King's College London, UK Miguel Couceiro, LORIA CNRS, France Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain Boxiang Dong, Montclair State University, US Alex Freitas, University of Kent, US Luis Gal?rraga, Aalborg University, France Aristides Gionis, KTH Royal Institute of Technology, Sweden Thibault Laugel, Sorbonne University, France Paulo Lisboa, Liverpool John Moores University, UK Pasquale Minervini, University College London, UK Ioannis Mollas, Aristotle University of Thessaloniki, Greece Christoph Molnar, Ludwig-Maximilians-University of Munich, Germany Cecilia Panigutti, Scuola Normale Superiore Pisa, Italy Andr?s Pataricza, Technical University of Budapest, Hungary Francesca Pratesi, University of Pisa, Italy Xavier Renard, AXA - LinkedIn, Frances Fabrizio Sebastiani, ISTI-CNR, Italy Dylan Slack, University of California Irvine, US Dominik Slezak, University of Warsaw, Poland Vicenc Torra, Ume? University, Sweden Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece Franco Turini, University of Pisa, Italy Cagatay Turkay, University of Warwick, UK CONTACT All inquires should be sent to xkdd2020 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 gangluo at cs.wisc.edu Sat Jun 6 09:42:18 2020 From: gangluo at cs.wisc.edu (GANG LUO) Date: Sat, 6 Jun 2020 13:42:18 +0000 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2020) - virtual event Message-ID: -- Call for Papers -- The Sixth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2020) In Conjunction with VLDB 2020 Tokyo, Japan - virtual event September 04, 2020 https://sites.google.com/site/vldbdmah2020/ DMAH will be held online this year. New Submission Deadline: June 19, 2020 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: Individual Workshop Papers: June 19, 2020 Notification of Acceptance: July 17, 2020 Camera Ready: July 24, 2020 Workshop date: September 04, 2020 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 Program Committee Edmon Begoli, Oak Ridge National Laboratory, USA Yang Cao, Kyoto University, Japan Blair Christian, Oak Ridge National Laboratory, USA Dejing Dou, University of Oregon, USA Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland Peter Elkin, University at Buffalo, USA Zhe He, Florida State University, USA Vagelis Hristidis, University of California-Riverside, USA Athirai Irissappane, University of Washington, USA Guoqian Jiang, Mayo Clinic College of Medicine, USA Jun Kong, Georgia State University, USA Tahsin Kurc, Stony Brook University, USA Yanhui Liang, Google Inc., USA Gang Luo, University of Washington, USA Ye Ye, University of Pittsburgh, USA Rui Zhang, University of Minnesota, USA From dpinots at yahoo.com Sat Jun 6 14:54:51 2020 From: dpinots at yahoo.com (Dimitris Pinotsis) Date: Sat, 6 Jun 2020 18:54:51 +0000 (UTC) Subject: Connectionists: Post Doc on Data Science and Computational Neuroscience in London References: <555883515.318253.1591469691388.ref@mail.yahoo.com> Message-ID: <555883515.318253.1591469691388@mail.yahoo.com> PostDoc on Data Science and Computational Neuroscience in London ? The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University of London?City is looking for a Post Doc with astrong background in data science and/or computational neuroscience. ? The Lab focuses on developing new algorithms for the analysis ofhuman and animal brain imaging data. These are based on computational models ofneural dynamics and state of the art techniques from Data Science. Particularemphasis is put on applications in computational psychiatry and developingmodels of brain pathology. Also, the Lab develops brain theories that canexplain brain pathology, using theoretical tools from deep neural networks andBayesian brain theories. The lab also performs EEG recordings. ? The Post Doc shall conduct research in one or more of these areas.He/she will have the opportunity to shape the details of their project based ontheir specific interests. ? The successful candidate should have a PhD in data science or computationalneuroscience, computer science, engineering, physics or related discipline.Expertise in one or more modern scientific computing programming language(Python, Matlab or R) is essential. The candidate should also have familiaritywith one or both of: i) the analysis of large datasets from human behavioural data, and/or ii) theanalysis of human or animal brainimaging data. ? For informal inquiries, please email Dr. Dimitris Pinotsis atpinotsis at mit.edu ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sat Jun 6 14:22:01 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Sat, 6 Jun 2020 19:22:01 +0100 Subject: Connectionists: [held online] CFP: Big Data & Deep Learning in HPC (IEEE Xplore) - Extended deadline: June 28, 2020 Message-ID: <53125e39-4cb6-0ec7-69a3-c421ad0e6815@isep.ipp.pt> Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (BDL2020) (https://sbac2020.dcc.fc.up.pt/bdl2020/) in conjunction with the IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020) (https://sbac2020.dcc.fc.up.pt/) September 9, 2020, Porto, Portugal ---------------------------------------------------------------------------- ** NEW ** BDL2020 will be held online (synchronous and/or asynchronous) ---------------------------------------------------------------------------- We are monitoring the Coronavirus disease (COVID-19) outbreak and following the recommendations/guidelines from the World Health Organization (WHO) and the European Centre for Disease Prevention and Control (ECDC). The safety of all conference participants is our main priority. In this perspective, regardless of the outbreak outcomes in September, we will make BDL2020 an online (synchronous and/or asynchronous) event and we will maintain the regular publication activities, i.e., accepted papers will be eligible for publication at the IEEE Xplore. The Workshop fee is now 200 euros. ------------------------------------ WORKSHOP ON BIG DATA & DEEP LEARNING IN HIGH PERFORMANCE COMPUTING ------------------------------------ The number of very large data repositories (big data) is increasing in a rapid pace. Analysis of such repositories using the "traditional" sequential implementations of ML and emerging techniques, like deep learning, that model high-level abstractions in data by using multiple processing layers, requires expensive computational resources and long running times. Parallel or distributed computing are possible approaches that can make analysis of very large repositories and exploration of high-level representations feasible. Taking advantage of a parallel or a distributed execution of a ML/statistical system may: i) increase its speed; ii) learn hidden representations; iii) search a larger space and reach a better solution or; iv) increase the range of applications where it can be used (because it can process more data, for example). Parallel and distributed computing is therefore of high importance to extract knowledge from massive amounts of data and learn hidden representations. The workshop will be concerned with the exchange of experience among academics, researchers and the industry whose work in big data and deep learning require high performance computing to achieve goals. Participants will present recently developed algorithms/systems, on going work and applications taking advantage of such parallel or distributed environments. ------------------------------------ LIST OF TOPICS ------------------------------------ All novel data-intensive computing techniques, data storage and integration schemes, and algorithms for cutting-edge high performance computing architectures which targets Big Data and Deep Learning are of interest to the workshop. Examples of topics include but not limited to: - parallel algorithms for data-intensive applications; - scalable data and text mining and information retrieval; - using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data; - energy-efficient data-intensive computing; - deep-learning with massive-scale datasets; - querying and visualization of large network datasets; - processing large-scale datasets on clusters of multicore and manycore processors, and accelerators; - heterogeneous computing for Big Data architectures; - Big Data in the Cloud; - processing and analyzing high-resolution images using high-performance computing; - using hybrid infrastructures for Big Data analysis. - New algorithms for parallel/distributed execution of ML systems; - applications of big data and deep learning to real-life problems. ------------------------------------ KEY DATES ------------------------------------ Deadline for paper submission: ***June 28, 2020*** Author notification: July 22, 2020 Camera-ready version of papers: July 25, 2020 ------------------------------------ SUBMISSION ------------------------------------ We invite authors to submit original work to BDL. All papers will be peer reviewed and accepted papers will be published in IEEE Xplore. Submissions must be in English, limited to 8 pages in the IEEE conference format (see https://www.ieee.org/conferences/publishing/templates.html) All submissions should be made electronically through the EasyChair system: https://easychair.org/conferences/?conf=bdl2020 ------------------------------------ REGISTRATION ------------------------------------ A full registration to the workshop and presentation are needed in order to have your paper included in the workshop proceedings. The Workshop fee is 200 euros. Registration system available in https://sbac2020.dcc.fc.up.pt/bdl2020/registration.html ------------------------------------ ORGANIZATION ------------------------------------ Carlos Ferreira (LIAAD - INESC TEC LA and Polytechnic Institute of Porto) Jo?o Gama (LIAAD - INESC TEC LA and University of Porto) Albert Bifet (Telecom ParisTech) Miguel Areias (CRACS - INESC TEC LA and University of Porto) Rui Camacho (LIAAD -INESC TEC LA and University of Porto) 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 cristian.rodriguezrivero at gmail.com Sun Jun 7 05:19:36 2020 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Sun, 7 Jun 2020 11:19:36 +0200 Subject: Connectionists: CFP: Computational Intelligence for Applied Time Series Forecasting in Complex Systems (CIATSFCS) - ITISE 2021 Message-ID: *Special Session:* *Computational Intelligence for Applied Time Series Forecasting in Complex Systems (CIATSFCS)* *7th International conference on Time Series and Forecasting 7th-9th April 2021, Gran Canaria, Spain* *Motivation* Over the past few decades, application of simple statistical procedures with considerable heuristic or judgmental input was the beginning of forecasting, then in the 80?s, sophisticated time series models started to be used by some of the dynamic system operators, and these approaches, were to become pioneering works in this field. Soft computing methods including support vectors regression (SVR), fuzzy inference system (FIS) and artificial neural networks (ANN) to time-series forecasting (TSF) has been growing rapidly in order to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision-making in many fields of the sciences. The purpose of this session is to hold smaller, informal meetings where experts in a particular field of forecasting can discuss forecasting problems, research, and solutions in the field of automatic control. There is generally a nominal registration fee associated with attendance. This session aims to debate in finding solutions for problems facing the field of forecasting. We wish to hear from people working in different research areas, practitioners, professionals and academicians involved in this problematic. *Scope* The session seeks to foster the presentation and discussion of innovative techniques, implementations and applications of different problems that are Forecasting involved, specially in real-world problems applied to control and automation. ? Time Series Analysis ? Time Series Forecasting ? Evaluation of Forecasting Methods and Approaches ? Forecasting Applications in Business, Energy and Price Demand, Hydrology, etc. ? Impact of Uncertainty on Decision Making ? Seasonal Adjustment ? Multivariate Time Series Modelling and Forecasting ? Marketing Forecasting ? Economic and Econometric Forecasting *Organizers:* Prof. Cristian Rodriguez Rivero, University of Amsterdam, c.m.rodriguezrivero at uva.nl, IEEE CIS, Co-Founder LA-CIS. Prof. Alvaro Orjuela Ca??n, Universidad del Rosario, dorjuela at ieee.org, IEEE CIS, Board of Directors of LA-CIS. Prof. H?ctor Daniel Pati?o, Universidad Nacional de San Juan, Argentine, dpatino at inaut.unsj.edu.ar. IEEE CIS. Prof. Juli?n Antonio Pucheta, Universidad Nacional de C?rdoba, Argentine, jpucheta at efn.uncor.edu. Prof. Gustavo Juarez, Universidad Nacional de Tucum?n, Argentine, juarez.gustavo at ieee.org, IEEE CIS. Prof. Leonardo Franco, School of Engineering in Informatics, University of Malaga, Spain. lfranco at lcc.uma.es. IEEE CIS. *Submission guidelines and special issue: * http://itise.ugr.es/submissions.php Manuscripts should be prepared according to Full papers should contain 10-12 pages in its final version according to the Lecture Notes in Computer Science (LNCS) format of Springer-Verlag format. Extraordinarily, other two additional pages could be considered with a supplementary fee. Templates for full papers are provided in LaTeX and Microsoft Word formats. Please, read carefully guidelines and instructions for authors that are included at Springer site. Authors must strictly follow the provided format to submit their contributions. *Important Dates* *Submission of papers/abstract by authors*: October 10th, 2020. Please, if you have problem with these deadline, contact to: ITISE at ugr.es *Notification of provisional acceptance*: November 12th, 2020. *Submission of final accepted contributions*: November 20th, 2020. Early Registration: November 20th, 2020. *Paper Submission: * https://easychair.org/my/conference?conf=itise2020# *Selection of accepted full papers will be published at **Contribution to Statistics (Springer)* *Information about ITISE 2021:* http://itise.ugr.es/ We look forward to receiving your high-quality submissions!! Cristian Rodriguez Rivero, Ph.D., Faculteit der Natuurwetenschappen, Wiskunde en Informatica Universiteit van Amsterdam Science Park 904, 1098XH, Amsterdam, Room C2.159 LA-CIS Co-Founder, Board of Directors and Steering Committee (la-cci.org) Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar c.m.rodriguezrivero at uva.nl Cell: +31687697539 <%2B1%20%28530%29%20757-8827> Virus-free. www.avg.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at tue.mpg.de Sun Jun 7 10:17:40 2020 From: dayan at tue.mpg.de (Peter Dayan) Date: Sun, 7 Jun 2020 16:17:40 +0200 Subject: Connectionists: =?iso-8859-1?q?postdocs_with_Peter_Dayan_in_T=FCb?= =?iso-8859-1?q?ingen?= Message-ID: <20200607141740.GA19025@tuebingen.mpg.de> Postdoc(s) in Neural Reinforcement Learning / Computational Psychiatry (m/f/d) 100% Peter Dayan is looking to hire one or more postdocs (100%) to work in the areas of neural reinforcement learning, computational neuromodulation, and computational psychiatry. These positions will start in the Faculty of Science, Department of Computer Science, University of T?bingen, as part of an Alexander-von-Humboldt Professorship award. There are also targeted positions on the computational anatomy of cortico-striatal connections (funded by a collaborative NIH grant with Professor Suzanne Haber) and with the International Brain Lab (a large collaboration with 20 other investigators, funded by the Simons Foundation). Peter Dayan has an affiliation with the University of T?bingen and the Max Planck Institute for Biological Cybernetics and collaboration is expected. The salary will be paid in accordance with the collective agreement for the public sector (salary at E13 TV-L, commensurate to experience and qualifications). The positions are available immediately, and are initially limited to two years (with the possibility of extension). Please direct scientific inquiries to dayan at tue.mpg.de and administrative inquiries to susan.fischer at tue.mpg.de. Responsibilities include: ? Planning and carrying out research projects, for instance building theories and computational models of data from human and animal experiments, conducting experiments, analysing behavioural and neural data, writing and editing scientific papers/reports. ? Helping to mentor and supervise student projects. ? Participating in scientific conferences. ? Helping to organize and conduct collaborations in T?bingen as well as nationally and internationally ? Helping with building and running an effective academic lab environment at the intersection between the Max Planck Institute for Biological Cybernetics and the science and medical faculties at the University of T?bingen. The successful candidate(s) should have a PhD in computational neuroscience or related fields. Proficiency in a high level mathematical or statistically-oriented programming language such as python, R, Julia or matlab, and intimate familiarity with advanced data analysis are essential. The candidate(s) should be able to work independently and troubleshoot and should show good capacity and value for teamwork and communication skills. The University of T?bingen is one of the Excellence Universities in Germany. It is home to a vibrant research community, with very strong research activity in Neuroscience and Clinical Psychology / Psychiatry as well as Artificial Intelligence and Machine Learning. We offer an open research culture, where original thinking and academic merit are encouraged and nurtured, and encourage applications from all nationalities, backgrounds, and genders. The University of T?bingen is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. Applications should include a CV, a list of publications, summaries of scientific achievements and research plans, the position for which the application is intended, and the names and contact details of three referees. Applications should be sent in a single PDF to: susan.fischer at tue.mpg.de Applications arriving before June 30th 2020 will receive full consideration. -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/x-pkcs7-signature Size: 4936 bytes Desc: not available URL: From gros at itp.uni-frankfurt.de Mon Jun 8 02:34:20 2020 From: gros at itp.uni-frankfurt.de (Claudius Gros) Date: Mon, 08 Jun 2020 08:34:20 +0200 Subject: Connectionists: Goethe Interactive COVID-19 Analyzer -- free online web tool Message-ID: <819-5edddc00-1f-2cd510c0@182487461> Many of us are involved in Covid-19 studies. This is to let you know that we developed a free online analysis tool which allows to compare outbreaks in different countries with a few clicks: https://itp.uni-frankfurt.de/covid-19/ The "Goethe Interactive COVID-19 Analyzer" is free to use, both for private and academic purposes. Functionalities -- arbitrary data rescaling -- shift of onset date -- timeline or daily vs total counts -- export to png image Feel free to share. Claudius -- ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ### From a.passarella at iit.cnr.it Mon Jun 8 06:00:02 2020 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 8 Jun 2020 12:00:02 +0200 (CEST) Subject: Connectionists: OSNEM Special Issue: Online/Mobile Social Networking at the time of COVID-19 - Deadline July 31st Message-ID: <20200608100002.040691630062@magneto.iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Online Social Networks and Media Journal (OSNEM) Special issue on Online/Mobile Social Networking at the time of COVID-19 Submission Deadline: July 31st, 2020 http://www.journals.elsevier.com/online-social-networks-and-media/ ------------------------------------------------------------------------------ The outbreak of COVID-19 is revolutionising our daily habits and individual/social behaviour, with many physical activities being "migrated" to the online world. On the other hand, we are relying more and more on online services to track and fight the diffusion of the new virus. While these phenomena are a consequence of an emergency situation, it is very likely that such changes will have a significant long-term impact. Online and Mobile Social Networks are a particularly intriguing environment in this framework. The OSNEM usage has changed dramatically since the emergence of the pandemic. Moreover, OSNEM can be used to shed light, through big data analysis, on novel individual and social behaviours of people. Last but not least, OSNEM are increasingly used to track the pandemic, via Online and Mobile Social Platforms helping to track physical contacts between people. As the role of OSNEM is becoming ever more important, challenges and threats to privacy, trust in information, fake news, malicious behaviour are posing even more serious threats. This special issue seeks high-quality scientific articles (both theoretical and experimental) on the use of OSNEM at the time of COVID-19, to either characterise the human behaviour via large-scale OSNEM data analysis, or using OSNEM to fight the pandemic. Papers describing the process used to collect and use large-scale datasets from OSNEM platforms are welcome, provided datasets are made available to the research community. Topics include, but are not limited to: - Characterisation of OSNEM usage at the time of COVID-19 via OSNEM big data analysis - Models of individual and social behaviour through OSNEM big data during the pandemic - Characterisation of social network structures during pandemic via OSNEM large-scale data - Opinion formation, information diffusion and polarization related to COVID-19 - Tracking of COVID-19 diffusion through Online Social Networks analysis - Mobile Social Networking applications and services to fight the COVID-19 diffusion - COVID-19 e-health services based on OSNEM - Privacy issues in the use of Online and Mobile Social Networks to fight COVID-19 - Tools to detect and counteract disinformation and malicious behaviours related the COVID-19 phenomena - Tools to assess and verify trustworthiness of COVID-19 related information and accounts - OSNEM data-driven approaches to study COVID-19 related phenomena - Multidisciplinary applications of OSNEM (economics, medicine, society, politics, homeland security, etc.) to fight COVID-19 - COVID-19 publicly available OSNEM datasets: collection, usage and sharing Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media. ----------------------------------------------------------------------------- Schedule Manuscript submission deadline: July 31st, 2020 First notification: September 30th, 2020 Submission of revised paper: October 31st, 2020 Notification of acceptance: November 30th, 2020 Guest Editors Marco Conti, IIT-CNR, Italy Andrea Passarella, IIT-CNR, Italy ------------------------------------------------------------------------------ Instructions for submission Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem/default.aspx. Please select "VSI:COVID-19" when you reach the "Article Type" step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on ???Online/Mobile Social Networking at the time of COVID-19???. Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. For further information, please contact the guest editors at osnem at iit.cnr.it From Albrecht_Zimmermann at gmx.net Mon Jun 8 05:00:00 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 8 Jun 2020 11:00:00 +0200 Subject: Connectionists: Deadline extension for Machine Learning and Data Mining for Sports Analytics (MLSA) @ ECML PKDD Message-ID: An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Jun 8 05:50:16 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 8 Jun 2020 11:50:16 +0200 Subject: Connectionists: Deadline extension 2nd Workshop on Evaluation and Experimental Design in Machine Learning and Data Mining (EDML) @ ECML PKDD 2020 Message-ID: An HTML attachment was scrubbed... URL: From bariscancam at gmail.com Tue Jun 9 03:36:39 2020 From: bariscancam at gmail.com (Baris Can Cam) Date: Tue, 9 Jun 2020 10:36:39 +0300 Subject: Connectionists: [CFP] ECCV 2020 - Workshop on Imbalance Problems in Computer Vision (IPCV) Message-ID: IMPORTANT UPDATE: Due to COVID-19 outbreak IPCV2020 is going 100% ONLINE As an online workshop, we are going to follow the online format as the main conference: - All papers, oral or poster, will have a *pre-recorded video presentation*, made available together with the paper to the attendees about a week before the workshop day. - Every workshop will have some *scheduled individual interaction time* during the workshop day. *ECCV Workshop on Imbalance Problems in Computer Vision (IPCV)* 28 August 2020 https://sites.google.com/view/ipcv2020/ *DATES: *Paper submission: 7 July 2020 Notification: 28 July 2020 Camera ready: 7 August 2020 Workshop: 28 August 2020 *CALL FOR PAPERS:* Performance of learning-based methods is adversely affected by imbalance problems at various levels, including the input, intermediate or mid-level stages of the processing or the objectives to be optimized in a multi-task setting. Currently, researchers tend to address these challenges in their particular context with problem-specific solutions and with limited awareness of the solutions proposed for similar challenges in other computer vision problems. Imbalance problems can arise in almost all computer vision problems and therefore, the workshop is highly relevant and interesting for a broad community. A recent, comprehensive review paper on imbalance problems in object detection (IEEE TPAMI, 2020; preprint: https://arxiv.org/abs/1909.00169) cites over 200 papers which were written by 655 unique authors. We interpret these numbers (which are specific to just one computer vision task, namely, object detection) as strong indicators of interest in imbalance problems. We invite contributions for (i) the dissemination of approaches developed in individual problems, as well as (ii) discussing commonalities between these approaches for developing better and more general solutions for addressing imbalance problems in computer vision. *INVITED SPEAKERS:* Bernt Schiele, Max Planck Institute, Saarland University Ming-Hsuan Yang, Google, University of California Merced Vittorio Ferrari, Google, University of Edinburgh *PAPER SUBMISSON:* Paper template and length: Please follow ECCV2020 format and guidelines. Submission link: https://openreview.net/group?id=thecvf.com/ECCV/2020/Workshop/IPCV *PROCEEDINGS:* Accepted papers will be included in ECCV2020 Workshop Proceedings. *PRESENTATION INFORMATION:* All accepted papers will have a spotlight presentation followed by a poster session. *ORGANIZERS:* Sinan Kalkan, University of Cambridge; Middle East Technical University Emre Akbas, Middle East Technical University Nuno Vasconcelos, University of California San Diego Baris Can Cam, Middle East Technical University Kemal Oksuz, Middle East Technical University Baris. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Mon Jun 8 17:50:24 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Mon, 8 Jun 2020 23:50:24 +0200 Subject: Connectionists: CFP: Computer Science and Systems; IEEE #49059; deadline July 3, 2020; video/telepresence conference In-Reply-To: <94abf787-93ce-ff24-d281-5604c0b67d00@ibspan.waw.pl> References: <94abf787-93ce-ff24-d281-5604c0b67d00@ibspan.waw.pl> Message-ID: <1ae91cfe-c870-a51a-3496-58ae77690575@amu.edu.pl> CALL FOR PAPERS ************************************************************************ TRACK 2: Computer Science and Systems https://fedcsis.org/2020/css 15th CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS FedCSIS 2020 Sofia, Bulgaria,? 6-9 September, 2020 http://www.fedcsis.org/ ************************* COVI-19 Information ************************** Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ CSS is a FedCSIS track aiming at integrating and creating synergy between FedCSIS technical sessions which thematically subscribe to more technical (or applicable) aspects of computer science and related disciplines. The CSS track spans themes ranging from hardware issues close to the discipline of computer engineering via software issues tackled by the theory and applications of computer science and to communications issues of interest to distributed, smart, multimedia and network systems. The sessions joined in this track are open to all innovative methods which solve the latest problems in the field of applied computer science. The track considers topic sessions: >>Advances in Computer Science and Systems (ACSS) ACSS is welcoming presentations of the scientific aspects related to applied sciences. The session is oriented on the research where the computer science meets the real world problems, real constraints, model objectives, etc. However the scope is not limited to applications, we all know that all of them were born from the innovative theory developed in laboratory. We want to show the fusion of these two worlds. Therefore one of the goals for the session is to show how the idea is transformed into application, since the history of modern science show that most of successful research experiments had their continuation in real world. ACSS session is going to give an international panel where researchers will have a chance to promote their recent advances in applied computer science both from theoretical and practical side. -Applied Artificial Intelligence -Applied Parallel Computing -Applied methods of multimodal, constrained and heuristic optimization -Applied computer systems in technology, medicine, ecology, environment, economy, etc. -Theoretical models of the above computer sciences developed into the practical use >>Actors, Agents, Assistants, Avatars (4A) 4A covers, broadly understood, agent technology is undergoing rapid changes. What was once envisioned, primarily, in research papers becomes reality. Over last few years we observe proliferation of personal assistants and avatars (sometimes considered under a joint umbrella of ChatBots). For instance, consider Siri, Cortana, Amazon Echo, or Google Assistant (to name the most popular). They can help in different activities, but a lot of work remains before they reach full potential. Furthermore, actors start to materialize in real-world applications ? as a promising approach to implement large-scale distributed systems. It is also worthy noticing that avatars, humans and smart things can cooperate as a community that instantiates, contributes to and exploits various aspects of collective intelligence. Here, observe that agents can play very relevant role in the context of implementing, for example, intelligence of smart devices, which interact with each other and with humans, by common communication channels and, possibly even, social networks. At the same time, software tools that can be used to realize 4A systems have reached maturity and are surrounded by active user communities. -Actors, as an approach to design and (efficiently) implement distributed systems -Current perspectives on software agents and multi-agent systems -Design and implementation of assistants -ChatBot design, implementation and use ? Avatars for today and tomorrow -Theoretical foundations of 4A-based systems -4A-based simulations (with application to real-world use cases, in particular) -Case studies, applications and experiences with 4A?s (in real-world, in particular) >>Computer Aspects of Numerical Algorithms (CANA) CANA is open for numerical algorithms which are widely used by scientists engaged in various areas. There is a special need of highly efficient and easy-to-use scalable tools for solving large scale problems. The workshop is devoted to numerical algorithms with the particular attention to the latest scientific trends in this area and to problems related to implementation of libraries of efficient numerical algorithms. The goal of the workshop is meeting of researchers from various institutes and exchanging of their experience, and integrations of scientific centers. -Parallel numerical algorithms -Novel data formats for dense and sparse matrices -Libraries for numerical computations -Numerical algorithms testing and benchmarking -Analysis of rounding errors of numerical algorithms -Languages, tools and environments for programming numerical algorithms -Numerical algorithms on coprocesors (GPU, Intel Xeon Phi, etc.) -Paradigms of programming numerical algorithms -Contemporary computer architectures -Heterogeneous numerical algorithms -Applications of numerical algorithms in science and technology >>Multimedia Applications and Processing (MMAP) MMAP is an international venue for recent advances in pervasive computers, networks, telecommunications, and information technology, along with the proliferation of multimedia mobile devices - such as laptops, iPods, Personal Digital Assistants, and smartphones ? which have stimulated the rapid development of intelligent applications. These key technologies by using Virtual Reality, Augmented Reality and Computational Intelligence are creating a recent multimedia revolution which will have a significant impact across a wide spectrum of consumer, business, healthcare, educational and governmental domains. Audio, Image and Video Processing. -Animation, Virtual Reality, 3D and Stereo Imaging -Big Data Science and Multimedia Systems -Cloud Computing and Multimedia Applications -Machine Learning, Fuzzy Systems, Neural Networks and Computational Intelligence for Information Retrieval in Multimedia Applications -Data Mining, Warehousing and Knowledge Extraction -Multimedia File Systems and Databases: Indexing, Recognition and Retrieval -Multimedia in Internet and Web Based Systems -E-Learning, E-Commerce and E-Society Applications -Human Computer Interaction and Interfaces in Multimedia Applications -Multimedia in Medical Applications and Computational biology -Entertainment, Personalized Systems and Games -Security in Multimedia Applications: Authentication and Watermarking -Distributed Multimedia Systems -Network and Operating System Support for Multimedia -Mobile Network Architecture and Fuzzy Logic Systems -Intelligent Multimedia Network Applications -Future Trends in Computing System Technologies and Applications -Trends in Processing Multimedia Information -Multimedia Ontology and Perception for Multimedia Users >>Scalable Computing (WSC) WSC is devoted to the world of large-scale computing. The most recent addition to the mix comes from numerous data streams that materialize from exploding number of cheap sensors installed ?everywhere?, on the one hand, and ability to capture and study events with systematically increasing granularity, on the other. To address the needs for scaling computational and storage infrastructures, concepts like: edge, fog and dew computing emerged. Novel issues in involved in ?pushing computing away from the center? did not replace open questions that existedin the context of grid and cloud computing. Rather, they added new dimensions of complexity and resulted in the need of addressing scalability across more and more complex ecosystems consisting of individual sensors and micro-computers (e.g. Raspberry PI based systems) as well as supercomputers available within the Cloud (e.g. Cray computers facilitated within the MS Azure Cloud). -General issues in scalable computing -Algorithms and programming models for large-scale applications, simulations and systems -Large-scale symbolic, numeric, data-intensive, graph-oriented, distributed computations -Fault-tolerant and consensus techniques for large-scale computing -Resilient large-scale computing -Data models for large-scale applications, simulations and systems -Large-scale distributed databases -Load-balancing / intelligent resource management in large-scale applications, simulations and systems -Performance analysis, evaluation, optimization and prediction -Scientific workflow scheduling -Data visualization -On-demand computing -Virtualization supporting computations -Volunteer computing -Scaling applications from small-scale to exa-scale (and back) -Big data real-time computing / analytics -Economic, business and ROI models for large-scale applications -Emerging technologies for scalable computing -Cloud / Fog / Dew computing architectures, models, algorithms and applications -High performance computing in Cloud / Fog / Dew -Green computing in Cloud / Fog / Dew -Performance, capacity management and monitoring of Cloud / Fog / Dew configuration -Cloud / Fog / Dew application scalability and availability -Big Data cloud services -Architectures for large-scale computations (GPUs, accelerators, quantum systems, federated systems, etc.) -Self* and autonomous computational / storage systems IMPORTANT DATES + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 SUBMISSION GUIDLINES: FedCSIS announces two separate calls for papers, with the deadlines for submissions about three weeks apart: Call for Regular Papers and Call for Position Papers. Papers submitted within the Call for Regular Papers can be accepted, by the event?s Program Committee, in one of the three categories: full papers, short papers or communication papers. Full and short papers constitute Proceedings of the FedCSIS conference ? they are published electronically in a volume of ?Annals of Computer Science and Information Systems? (ACSIS) and are submitted for inclusion in the IEEE Xplore Digital Library. ACSIS Volumes with Proceedings of the FedCSIS conference are submitted for indexation in Web of Science, SCOPUS, DBLP, Index Copernicus and other indexing services (see, Indexation for more details). Communication papers and Position papers are published in separate ACSIS volume(s) and they are not submitted to the IEEE Xplore DL. Limited number of Best Papers will be published (free of charge) in Information -- Open Access Journal (MDPI) For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions TRACK CHAIRS: Wo?niak, Marcin, Institute of Mathematics, Silesian University of Technology, Poland Dimov, Ivan, Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Bulgaria -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From rosemary.nan.ke at gmail.com Mon Jun 8 22:32:39 2020 From: rosemary.nan.ke at gmail.com (Rosemary Ke) Date: Mon, 8 Jun 2020 22:32:39 -0400 Subject: Connectionists: Call for papers: ICML2020 Generalization in Reinforcement Learning workshop Message-ID: Hi, *I?d like to share the call for papers for our ICML 2020 Workshop on *Inductive Biases, Invariances and Generalization in RL* (BIG at ICML). **Openreview link: *https://openreview.net/group?id=ICML.cc/2020/Workshop/BIG * Workshop website: *https://biases-invariances-generalization.github.io/. *TLDR:* The question of generalization in reinforcement learning is essential to the field?s future both in theory and in practice. However there are still open questions about the right way to think about generalization in RL, the right way to formalize the problem, and the most important tasks. This workshop would help to address this issue by bringing together researchers from different backgrounds to discuss these challenges. In our workshop we hope to explore research and new ideas on topics related to inductive biases, invariances and generalization, including: - What are efficient ways to learn inductive biases from data? - Which inductive biases are most suitable to achieve generalization? - Can we make the problem of generalization in particular for RL more concrete and figure out standard terms for discussing the problem? - Causality and generalization especially in RL - Model-based RL and generalization. - Can we create models that are robust visual environments, assuming all the underlying mechanics are the same. Should this count as generalization or transfer learning? - Can we create a theoretical understanding of generalization in RL, and understand how it is related to the well developed ideas from statistical learning theory ? - What is the difference between a prediction that is made with a causal model and that with a non?causal model? We will accept both short paper (4 pages) and long paper (8 pages) submissions (not including references). A few papers may be selected as oral presentations, and the other accepted papers will be presented in a poster session. There will be no proceedings for this workshop, however, upon the author?s request, accepted contributions will be made available in the workshop website. Submission are double-blind, peer-reviewed on OpenReview (https://openreview.net/group?id=ICML.cc/2020/Workshop/BIG), and open to already published work. *Paper Submission Deadline: Jun 10th* *Website*: https://biases-invariances-generalization.github.io/ Best, ICML 2020 BIG workshop organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Tue Jun 9 04:55:30 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Tue, 9 Jun 2020 10:55:30 +0200 Subject: Connectionists: [CfP] CASUAL2020: Workshop on Causal Reasoning and Explanation in Logic Programming Message-ID: <690fb59d-96bd-59da-8111-11a4623b39d3@uniss.it> [Apologies if you receive multiple copies of this email. Please distribute to interested parties.] Workshop on Causal Reasoning and Explanation in Logic Programming ????????????????????????????? CALL FOR PAPERS ?????????????????????????? *** CAUSAL 2020 *** ????????????????????????? (September 17 or 18, 2020) ???? Workshop on Causal Reasoning and Explanation in Logic Programming ????????? CAUSAL 2020 is a workshop co-located with ICLP 2020 ???????????????? in University of Calabria, Rende, Italy. *NOTE ABOUT COVID-19: We will follow advice from the ICLP2020 organizers on the situation, and we will revise our workshop timeline and other procedures accordingly if needed.* CAUSAL 2020 IMPORTANT DATES ------------------------- * Paper submission: July 15th 2020 * Notification: July 30th 2020 * Final Versions: August 15th 2020 * Workshop Date: September 17th or 18th 2020 ------------------------ Sophisticated causal reasoning has long been prevalent in human society and continues to have an undeniable impact on the advancement of science, technology, medicine, and other significant fields. From the development of ancient tools to modern roots of causal analysis in business and industry, reasoning about causality and having the ability to explain causal mechanisms enables us to identify how an outcome of interest came to be and gives insight into how to bring about, or even prevent, similar outcomes in future scenarios. This workshop aims to bring together researchers and practitioners of logic programming with a dedicated focus on methods and trends emerging from the study of causality and explanation. We welcome the submission of papers on systems, tools, and applications of logic programming methods for causal reasoning and explanation. In particular, we encourage submissions presenting recent developments, including works in progress. The workshop will present the latest research and application developments in these areas and provide opportunities to discuss current and future research directions and relationships to other fields (e.g. Machine Learning, Explainable AI, Diagnosis, ?Natural Language Processing and Understanding, Philosophy of Science). An important expected outcome of this workshop is to collect first-hand feedback from the ICLP community about the role and placement of causal reasoning and explanation in the landscape of modern computer theory as well as in the software industry. TOPICS ------ Topics of interests include (but are not limited to): * Modeling causal theories in logic programming * Formalization of types of causes: sufficient, necessary, actual, etc * Causality, temporal reasoning and action theories * Causality and counterfactual reasoning * Causality, learning and experimental design * Causality and probability * Causality and equivalence * Causality and ontology * Relating LP based causality and Causal Networks * Challenging problems and benchmark examples * Justifications and argumentation * Explanations for diagnosis and debugging * Tools, systems and applications Submissions must describe original research and be prepared using the Springer LNAI/LNCS format and should be no longer than 13 pages. https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines Please submit your paper via EasyChair: https://easychair.org/conferences/?conf=causal2020 At least one co-author of each accepted paper must register for and attend the workshop. Please check the ICLP 2020 website for registration procedure and fees. https://iclp2020.unical.it/ ORGANIZERS ---------- Emily LeBlanc, US Naval Research Lab, USA, emily.leblanc at nrl.navy.mil Joost Vennekens, KU Leuven, Belgium Tran Cao Son, New Mexico State University, USA Pedro Cabalar, Corunna University, Spain Jorge Fandi?o, University of Potsdam, Germany Marcello Balduccini, Saint Joseph's University, USA Yuliya Lierler, University of Nebraska at Omaha, USA -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Tue Jun 9 04:59:17 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 9 Jun 2020 10:59:17 +0200 Subject: Connectionists: Call for Participation, ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany - Italy, Early Registration: June 15 Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested * ****** Register Now! The last remaining 15 seats! ******* June 9: Hurry up! The last remaining 15 seats! Register Now! 6 Days Left: Book your Early Bird Seats. Still a few Seats left for the ACDL 2020 Course. Hurry up and register! Only 15 seats are available! ********************************************************** NEW LECTURERS: * Guido Sanguinetti, School of Informatics - University of Edinburgh, UK * Luca Zammataro, Yale University, USA ACDL 2020 an On-Site & On-Line Event! We have concluded that holding the event this year in mixed form both in presence (like previous editions) and virtual is more advantageous than postponing it until next year. In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation. We would be delighted if all participants manage to attend, but are aware that special circumstances are best handled by having flexible options. The advanced course, hence, will be held in presence with virtual rooms for participants using remote connection (e.g., Zoom or MS Teams). The online lectures (e.g., live presentations and/or recorded ones) will be made possible. W: https://acdl2020.icas.xyz E: acdl at icas.cc FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences News: https://acdl2020.icas.xyz/category/news/ The past 2 editions have attracted more than 150 students per year and world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals. More info about our current and past editions can be found here: https://acdl2020.icas.xyz/past-editions/ Early registration deadline: June 15 https://acdl2020.icas.xyz/registration/ CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2020.icas.xyz/registration/ Early registration deadline: June 15 DEADLINES: Early Registration Deadline: June 15. Oral/Poster Presentation Submission Deadline: June 15. Late Registration: from June 16 to July 10 (last date for registration). Accommodation Reservation at the Certosa di Pontignano: July 10. Notification of Decision for Oral/Poster Presentation: June 30. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK Lecture 1: An Introduction to Deep Reinforcement Learning Lecture 2: Milestones in Large-scale Reinforcement Learning: AlphaZero, OpenAI Five and AlphaStar Lecture 3 ? Tutorial: JAX, A new library for building neural networks * Pierre Baldi, University of California Irvine, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Michael Bronstein, Twitter & Imperial College London, UK Lecture 1: Lecture 2: Lecture 3: * Sergiy Butenko, Texas A&M University, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Marco Gori, University of Siena, Italy Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA Lecture 1: VAEs and Normalizing Flows: An Introduction to Modeling High-Dimensional Data with Deep Learning Lecture 2: Flow Contrastive Estimation: An (Un?)-Holy Trinity of Energy-Based Models, Likelihood-Based Models and GANs Lecture 3: Finding Deeply Hidden Truths: Breakthroughs in Nonlinear Identifiability Theory * Risto Miikkulainen, University of Texas at Austin, USA Lecture 1: Evolving Neural Networks for POMDP Tasks Lecture 2: Evolutionary Neural Architecture Search Lecture 3: Evolutionary Surrogate-Assisted Optimization * Panos Pardalos, University of Florida, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Jos? C. Principe, University of Florida, USA Lecture 1: Beyond Backpropagation: Cognitive Architectures for Object Recognition in Video ? Requisites for a Cognitive Architecture Lecture 2: Beyond Backpropagation: Cognitive Architectures for Object Recognition in Video ? Putting it all together Lecture 3: Beyond Backpropagation: Cognitive Architectures for Object Recognition in Video ? Modular Learning for Deep Networks * Guido Sanguinetti, School of Informatics - University of Edinburgh, UK Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Mihaela van der Schaar, University of Cambridge, UK Lecture 1: Machine Learning for Medicine ? a new research frontier Lecture 2: Causal Inference and Estimating Individualized Treatment Effects Lecture 3: From Black Boxes to White Boxes: Machine Learning Interpretability, Explainability and Trustworthiness * Luca Zammataro, Yale University, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA TUTORIAL SPEAKERS: * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Adam Paszke, University of Warsaw, Poland 4-hour tutorial on "PyTorch: A Modern Library for Machine Learning" SCOPE: 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 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. 8 ECTS POINTS: Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. A formal certificate of successful participation in the event will be delivered indicating the number of hours of lectures. VENUE & ACCOMMODATION: The venue of ACDL 2020 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://acdl2020.icas.xyz/venue/ ACCOMMODATION: https://acdl2020.icas.xyz/accommodation/ REGISTRATION: https://acdl2020.icas.xyz/registration/ Anyone interested in participating in ACDL 2020 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 (physically or virtually) in Tuscany in July! ACDL 2020 Organizing Committee. E: acdl at icas.cc W: https://acdl2020.icas.xyz FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences News: https://acdl2020.icas.xyz/category/news/ * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihaela.rozman at tuwien.ac.at Tue Jun 9 09:52:20 2020 From: mihaela.rozman at tuwien.ac.at (Mihaela Rozman) Date: Tue, 9 Jun 2020 15:52:20 +0200 Subject: Connectionists: PhD position(s) in Structural and Algorithmic Aspects of Preference-based Problems in Social Choice - Vienna, Austria - Deadline: July 31, 2020 Message-ID: <058d01d63e65$32131a20$96394e60$@tuwien.ac.at> PhD POSITION(S) PROJECT Structural and Algorithmic Aspects of Preference-based Problems in Social Choice STARTING DATE: Negotiable LOCATION: Vienna, Austria INSTITUTION: Algorithms and complexity group at the Faculty of Informatics, Technische Universit?t Wien (Vienna University of Technology) FUNDING: The PhD candidates receive an employment contract for the initial period of 3 years, thus study fees do not apply. Salary range starts at 22.000 net/year EUR for 30h/week. APPLICATION DEADLINE: July 31, 2020 ========================================================== We invite applications for PhD position(s) (3 years with the possibility of extension), working with Jiehua Chen in the Algorithms and Complexity Group at the Vienna University of Technology (Technische Universit?t Wien ? TU Wien), Vienna, Austria. The PhD position(s) is available for the WWTF research project (Vienna Science and Technology Fund) titled Structural and Algorithmic Aspects of Preference-based Problems in Social Choice: https://www.wwtf.at/programmes/vienna_research_groups/VRG18-012/index.php?lang=EN The research topics include voting, structured preferences, stable matching (matchings under preferences) with a focus on parameterized and approximation algorithm design. =============================== YOUR PROFILE =============================== Applicants with a solid background in areas such as algorithm design (including BUT NOT LIMITED to parameterized algorithms and approximation algorithms), computational complexity, and/or discrete mathematics are welcome to apply. =============================== WE OFFER =============================== -The PhD position(s) entails an employment contract. -The position(s) is available immediately and the starting date is quite flexible - A research and study environment that is friendly and gender-balanced - TU Wien is a great place for professional growth (e.g., the Austrian Science Fund and other funding agencies offer multiple funding opportunities for young researchers to advance their independent scientific careers) - Vienna, the city, features a vibrant and excellence-driven research landscape, with several leading research institutes (e.g., University of Vienna, IST, AIT, SBA) and universities continuously establishing collaborations in various fields - Vienna has been consistently ranked by Mercer over the last years the best city for quality of life worldwide. =============================== APPLICATION =============================== Please send your application, including - your academic CV, - a motivation letter, including an explanation of your research interests, - your Master's thesis and - a list of subjects studied, giving sufficient details and grades/marks obtained directly to Jiehua Chen: jiehua.chen at tuwien.ac.at (If possible all in a single PDF file) DEADLINE: 31. July 2020 For informal inquiries you can also contact via the above email address. =============================== ADDITIONAL INFORMATION =============================== Faculty of Informatics: https://informatics.tuwien.ac.at/ Research group website: https://www.ac.tuwien.ac.at/ Outreach: www.vcla.at Twitter: @vclaTUwien -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Jun 10 05:00:50 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Wed, 10 Jun 2020 12:00:50 +0300 Subject: Connectionists: CORRECTED VERSION: Invitation for the 2020 Summer e-School on Autonomous Systems, 17-21th August 2020, Aristotle University of Thessaloniki, Thessaloniki, Greece Message-ID: <0cd501d63f05$a40ed470$ec2c7d50$@csd.auth.gr> Dear Autonomous Systems (cars, drones) engineers, scientists, and enthusiasts, you are welcomed to register to the 2020 Summer e-School on Autonomous Systems having focus on autonomous drones, cars and marine vessels: http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2020/ It will take place on 17-21/8/2020 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The summer e-school consists of two short e-courses: a) 'Short e-course on Deep Learning and Computer Vision for Autonomous Systems 2020', 17-18th August 2020: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/ b) 'Programming short e-course and workshop on Deep Learning and Computer Vision for Autonomous Systems', 19-21th August 2020: http://icarus.csd.auth.gr/autonomous-systems-2020/ You can follow the above-mentioned links for registration on either or both e-courses. For questions, please contact: Ioanna Koroni > The first e-course contains 16 live (and recorded) lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels. The second programming short e-course and workshop offers a mix of live (and recorded) lectures and programming workshops (hands-on lab exercises) and aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone planning/control and imaging. Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018). Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Relevant links: 1. European Horizon2020 R&D projects Aerial-Core: https://aerial-core.eu/, Multidrone: https://multidrone.eu/, AI4Media: https://ai4media.eu/ 2. AIIA Lab: http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el Course descriptions a) 'Short e-course on Deep Learning and Computer Vision for Autonomous Systems 2020', 17-18th August 2020. http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Introduction to neural networks. Perceptron, backpropagation 6. Deep neural networks. Convolutional NNs 7. Introduction to multiple drone imaging 8. Drone mission planning and control Part B (8 hours) Deep learning topic list 1. Localization and mapping 2. Deep learning for object/target detection 3. Object tracking and 3D target localization 4. Parallel GPU and multicore CPU programming. GPU programming 5. Fast convolution algorithms 6. Drone cinematography 7. Introduction to car vision 8. Introduction to autonomous marine vehicles b) 'Programming short e-course and workshop on Deep Learning and Computer Vision for Autonomous Systems', 19-21th August 2020. http://icarus.csd.auth.gr/autonomous-systems-2020/ Part A (8 hours), Deep learning sample topic list 1. Deep neural networks. Convolutional NNs 2. Deep learning for target detection 3. PyTorch basics 4. Target detection with PyTorch 5. Object oriented Tensorflow in Google Colab Part B (8 hours), Computer vision sample topic list 6. 2D target tracking 7. Parallel GPU and multi-core CPU architectures . GPU programming 8. CUDA programming 9. OpenCV programming for object tracking 10. Drone mission simulations Part C (8 hours), Drone planning/control sample topic list 11. Drone mission planning and control 12. Drones with ROS and Gazebo simulations 13. Sincerely yours Prof. I. Pitas -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihaela.rozman at tuwien.ac.at Tue Jun 9 10:25:07 2020 From: mihaela.rozman at tuwien.ac.at (Mihaela Rozman) Date: Tue, 9 Jun 2020 16:25:07 +0200 Subject: Connectionists: PhD Position in Artificial Intelligence at TU Wien, Vienna, Austria. Application deadline: July 15, 2020 Message-ID: <0cff01d63e69$c6c2ed40$5448c7c0$@tuwien.ac.at> A PhD position is available at the Database and Artificial Intelligence Group at TU Wien, Austria (under the supervision of Dr. Mantas ?imkus). We invite highly motivated applicants interested both in the theory and practice of - Description Logics - Answer Set Programming - Knowledge Representation and Reasoning - Reasoning about Actions and Change - Database Theory In particular, we are seeking to strengthen our research teams in two foundational research projects ?Ontology-mediated Queries for Graph Databases?[1] and ?KtoAPP: Compiling Knowledge into Applications?[2] funded by the Austrian Science Fund (FWF). ===================== YOUR PROFILE ===================== - A degree in Computer Science, Mathematics, or other closely related field - A very strong study record, especially in foundational topics (like discrete mathematics, logic, logic programming, algebra, theory of computation, computational complexity, combinatorics, graph theory, automata theory, data structures and algorithms) - Very good English writing skills ===================== WE OFFER ===================== - Employment at TU Wien for up to 3.5 years, with Dr. Mantas ?imkus as PhD advisor - Gross salary of approx. 30.754 EUR per year (approx. 22.506 EUR per year after taxes in basic circumstances) - The candidate student would join the LogiCS doctoral program [3] which offers top research expertise, and a stimulating and supportive environment - A research and study environment that is friendly and gender-balanced - TU Wien is a great place for professional growth (e.g., the Austrian Science Fund offers multiple funding opportunities for young researchers to advance their independent scientific careers). - Vienna is a beautiful city that offers excellent quality of life [4] ===================== APPLICATION PROCESS ===================== Application Deadline: July 15, 2020 Please send your application to Dr. Mantas ?imkus (simkus at dbai.tuwien.ac.at ) ===================== APPLICATION DOCUMENTS ===================== -A motivation letter, which should make a connection to one of the research projects mentioned above -Curriculum Vitae -Transcripts (academic record) showing high performance in prior studies -Abstract of the Master thesis -2 letters of recommendation ===================== QUALITY OF LIFE ===================== Vienna, the city features a vibrant and excellence-driven research landscape, with several leading research institutes (e.g., University of Vienna, IST, AIT, SBA) and universities continuously establishing collaborations in various fields. Finally, Vienna has been consistently ranked by Mercer over the last years the best city for quality of life worldwide. ===================== LINKS ===================== [1] http://www.simkus.info/projects/fwf-project-p30360/ [2] http://www.simkus.info/projects/fwf-project-p30873/ [3] https://logic-cs.at [4] https://mobilityexchange.mercer.com/Insights/quality-of-living-rankings ===================== WEBSITE ===================== www.vcla.at/positions/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihaela.rozman at tuwien.ac.at Tue Jun 9 11:55:39 2020 From: mihaela.rozman at tuwien.ac.at (Mihaela Rozman) Date: Tue, 9 Jun 2020 17:55:39 +0200 Subject: Connectionists: PostDoc Position in Knowledge-based Systems and Artificial Intelligence. Vienna, Austria. Application deadline: July 15, 2020 Message-ID: <177901d63e76$6c024740$4406d5c0$@tuwien.ac.at> A PostDoc position is available at the Database and Artificial Intelligence Group at TU Wien (Vienna University of Technology), Austria. We invite highly motivated applicants interested both in the theory and practice of - Description Logics - Answer Set Programming - Knowledge Representation and Reasoning - Reasoning about Actions and Change - Database Theory In particular, we are seeking to strengthen our research teams in two foundational research projects ?Ontology-mediated Queries for Graph Databases?[1] and ?KtoAPP: Compiling Knowledge into Applications?[2] funded by the Austrian Science Fund (FWF). ================= YOUR PROFILE ================= - A PhD degree in Computer Science, Mathematics, or other closely related field - Excellent academic record - High motivation to succeed in academia - Very good English writing skills ================= WE OFFER ================= - Employment at TU Wien from 2 years to 3.5 years, depending on research tasks - Gross salary of approx. 54.453 EUR per year (approx. 35.463 EUR per year after taxes in basic circumstances) - A department that offers top research expertise, and a stimulating and supportive environment - TU Wien is a great place for professional growth (e.g., the Austrian Science Fund offers multiple funding opportunities for young researchers to advance their independent scientific careers). - Vienna is a beautiful city that offers excellent quality of life [4] ================= APPLICATION PROCESS ================= Application Deadline: July 15, 2020 Please send your application to Dr. Mantas ?imkus (simkus at dbai.tuwien.ac.at ) Application Documents: - Curriculum Vitae - PhD thesis and/or the list of publications - At least 2 names of referees ================= LINKS ================= [1] http://www.simkus.info/projects/fwf-project-p30360/ [2] http://www.simkus.info/projects/fwf-project-p30873/ [3] https://logic-cs.at [4] https://mobilityexchange.mercer.com/Insights/quality-of-living-rankings -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Jun 9 11:55:37 2020 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 09 Jun 2020 08:55:37 -0700 Subject: Connectionists: NEURAL COMPUTATION - June 1, 2020 In-Reply-To: Message-ID: Neural Computation - Volume 32, Number 6 - June 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/6 http://cognet.mit.edu/content/neural-computation ----- Articles Non-equilibrium Statistical Mechanics of Continuous Attractors Weishun Zhong, Zhiyue Lu, David J Schwab, and Arvind Murugan First Passage Time Memory Lifetimes for Multistate, Filter-Based Synapses Terry Elliott Letters Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus Mengyu Tu, Ruohe Zhao, Avital Adler, Wen-Biao Gan, and Zhe Chen Independently Interpretable Lasso for Generalized Linear Models Masaaki Takada, Taiji Suzuki, and Hironori Fujisawa Salient Slices: Improved Neural Network Training and Performance With Image Entropy Steven Frank, Andrea M. Frank ------------ From weixu at cse.ohio-state.edu Tue Jun 9 16:21:51 2020 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Tue, 9 Jun 2020 20:21:51 +0000 Subject: Connectionists: Shared Task on Biology Lab Protocols at EMNLP 2020 Workshop on User-generated Text Message-ID: Shared Task on Biology Lab Protocols at EMNLP 2020 Workshop on User-generated Text http://noisy-text.github.io/2020/wlp-task.html We invite everybody interested in named entity recognition, information extraction, and BioNLP to take part in the first shared task on "Entity and Relation Recognition over Wet Lab Protocols". For this task, participants are asked to develop systems that automatically identify actions, entities, and their relations from lab instructions. We are providing annotated training data, code for baseline model, and evaluation scripts. See here for a live demo of the task -- http://bionlp.osu.edu:5000/protocols The system description papers will be peer-reviews and published as part of the EMNLP 2020 Workshop Proceedings (ACL Anthology). == Important dates == Data available: June 8, 2020 Evaluation window: Aug 31 - Sep 4 System description papers submitted: Sep 18 Papers reviewed: Sep 28 Papers camera ready: Oct 8 Workshop day: November 11 (as part of the EMNLP 2020 conference, virtual online) == Shared-Task Organizers = Jeniya Tabassum (Ohio State University) Wei Xu (Ohio State University ? Georgia Tech) Alan Ritter (Ohio State University ? Georgia Tech) More details on the EMNLP conference and workshop -- http://noisy-text.github.io/ (submission deadline for the main workshop is Aug 25th.) -------------- next part -------------- An HTML attachment was scrubbed... URL: From torcini at gmail.com Wed Jun 10 05:21:26 2020 From: torcini at gmail.com (A. Torcini) Date: Wed, 10 Jun 2020 11:21:26 +0200 Subject: Connectionists: 5 year Teaching-Research position in Cergy-Pontoise (France) In-Reply-To: References: Message-ID: CY Cergy Paris Universit? will open a non-permanent Teaching-Research position in Theoretical Physics within LPTM, for a duration of 3 + 2 years, Position to open Oct. 1st, 2020. A permanent (competitive) Junior Professor position will open at the end of these 5 years allowing for the laureate to compete for tenure. Deadline for applications June, 26th, 2020. Additional information can be found here: https://euraxess.ec.europa.eu/jobs/525797 Contact: Jean Avan --- jean.avan at cyu.fr From timofte.radu at gmail.com Wed Jun 10 10:28:17 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Wed, 10 Jun 2020 16:28:17 +0200 Subject: Connectionists: CFP: ECCV 2020 Advances in Image Manipulation workshop and challenges [DEADLINE JULY 10] Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 8 CHALLENGES AIM: 2nd Advances in Image Manipulation workshop and challenges on real image super-resolution, efficient SR, extreme SR, relighting, extreme inpainting, learned ISP, Bokeh effect, video temporal SR In conjunction with ECCV 2020, Glasgow, UK Website: https://data.vision.ee.ethz.ch/cvl/aim20/ Contact: radu.timofte at vision.ee.ethz.ch SCOPE Image manipulation is a key computer vision tasks, aiming at the restoration of degraded image content, the filling in of missing information, or the needed transformation and/or manipulation to achieve a desired target (with respect to perceptual quality, contents, or performance of apps working on such images). Recent years have witnessed an increased interest from the vision and graphics communities in these fundamental topics of research. Not only has there been a constantly growing flow of related papers, but also substantial progress has been achieved. Each step forward eases the use of images by people or computers for the fulfillment of further tasks, as image manipulation serves as an important frontend. Not surprisingly then, there is an ever growing range of applications in fields such as surveillance, the automotive industry, electronics, remote sensing, or medical image analysis etc. The emergence and ubiquitous use of mobile and wearable devices offer another fertile ground for additional applications and faster methods. This workshop aims to provide an overview of the new trends and advances in those areas. Moreover, it will offer an opportunity for academic and industrial attendees to interact and explore collaborations. This workshop builds upon the success of the Advances in Image Manipulation (AIM) workshop at ICCV 2020, the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018, the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018, 2019 and 2020 and the New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2017, 2018, 2019 and 2020 and at ACCV 2016. Moreover, it relies on the people associated with the PIRM, CLIC, and NTIRE events such as organizers, PC members, distinguished speakers, authors of published papers, challenge participants and winning teams. TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in ECCV style. The paper format must follow the same guidelines as for all ECCV submissions. https://eccv2020.eu/author-instructions/ The review process is double blind. Authors do not know the names of the chair/reviewers of their papers. Reviewers do not know the names of the authors. Dual submission is allowed with ECCV main conference only. If a paper is submitted also to ECCV and accepted, the paper cannot be published both at the ECCV and the workshop. For the paper submissions, please go to the online submission site https://cmt3.research.microsoft.com/AIMWC2020 Accepted and presented papers will be published after the conference in the ECCV Workshops Proceedings. The author kit provides a LaTeX2e template for paper submissions. Please refer to the example for detailed formatting instructions. If you use a different document processing system then see the ECCV author instruction page. Author Kit: https://eccv2020.eu/wp-content/uploads/2020/01/eccv2020kit-1.zip WORKSHOP DATES ? Submission Deadline: July 10, 2020 ? Decisions: July 20, 2020 ? Camera Ready Deadline: July 30, 2020 IMAGE CHALLENGES (*ongoing!*): 1. Bokeh effect simulation (tracks: on smartphone GPU, on CPU) 2. Learned ISP (RAW to RGB mapping) (tracks: fidelity, perceptual) 3. Real super-resolution (tracks: x2, x3, x4) 4. Relighting (tracks: any to one, any to any relighting, illumination estimation) 5. Efficient super-resolution 6. Extreme inpainting (tracks: classic, semantic guidance) VIDEO CHALLENGES (*ongoing!*): 1. Video temporal super-resolution (frame interpolation) 2. Video extreme super-resolution (tracks: fidelity, perceptual) PARTICIPATION To learn more about the challenges and to participate: https://data.vision.ee.ethz.ch/cvl/aim20/ CHALLENGES DATES ? Release of train data: May 05, 2020 ? Validation server online: May 15, 2020 ? Competitions end: July 10, 2020 ORGANIZERS - Radu Timofte, Andrey Ignatov, Kai Zhang, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Andres Romero (ETH Zurich, Switzerland) - Luc Van Gool (KU Leuven, Belgium and ETH Zurich, Switzerland) - Wangmeng Zuo, Hannan Lu (Harbin Institute of Technology, China) - Shuhang Gu (University of Sydney, Australia) - Ming-Hsuan Yang (University of California at Merced and Google, US) - Majed El Helou, Ruofan Zhou (EPFL, Switzerland) - Kyoung Mu Lee, Seungjun Nah, Sanghyun Son, Jaerin Lee (Seoul National University, Korea) - Eli Shechtman (Adobe Research, US) - Evangelos Ntavelis, Siavash Bigdeli (CSEM, Switzerland) - Liang Lin, Weipeng Xu (Sun Yat-Sen University, China) - Ming-Yu Liu (NVIDIA, US) - Roey Mechrez (BeyondMinds and Technion, Israel) SPEAKERS (TBA) SPONSORS (We are looking for sponsors! Please let us know if you are interested.) CONTACT Email: radu.timofte at vision.ee.ethz.ch Website: https://data.vision.ee.ethz.ch/cvl/aim20/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Jun 10 17:59:17 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 10 Jun 2020 23:59:17 +0200 Subject: Connectionists: CFP: Network Systems and Applications; Track within FedCSIS 2020; #49059; deadline July 3, 2020; online conference In-Reply-To: References: Message-ID: <5040f7c9-1894-ae96-17a1-166996085937@amu.edu.pl> CALL FOR PAPERS ********************************************************************** Track 3: Network Systems and Applications https://www.fedcsis.org/2020/nsa Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020) (FedCSIS IEEE conference number: #49059) Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ ************************* COVI-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ AIMS & SCOPE Modern network systems encompass a wide range of solutions and technologies, including wireless and wired networks, network systems, services, and applications. This results in numerous active research areas oriented towards various technical, scientific and social aspects of network systems and applications. The primary objective of Network Systems and Applications conference track is to group network-related technical sessions and promote synergy between different fields of network-related research. This year, this track (Track #3) has three main technical sessions, namely ANSA, IoT-ECAW?20, and NEMESIS'20. The ANSA technical session is a wide umbrella that receives research on a broad scope of network systems and technologies. The IoT-ECAW?20 workshop is dedicated to all papers related to the Internet-of-Things (IoT) developments, challenges, and applications. The NEMESIS?20 receives papers related to information security, user privacy, and trust management from broad scope of domains including networks, IoT, clouds, and in addition to conventional cybersecurity applications. The three technical sessions aim to cover all aspects related to network systems and networking technologies. As a matter of arrangement, we encourage submitting papers to their well-matched event. The track chairs are available via email to clarify any confusion that might occur. For more details, see below and visit WWW site of each Technical Session. *** Advances in Network Systems and Applications (ANSA'20) https://www.fedcsis.org/2020/ansa The rapid development of computer networks including wired and wireless networks observed today is very evolving, dynamic, and multidimensional. On the one hand, network technologies are used in virtually several areas that make human life easier and more comfortable. On the other hand, the rapid need for network deployment brings new challenges in network management and network design, which are reflected in hardware, software, services, and security-related problems. Every day, a new solution in the field of technology and applications of computer networks is released. The ANSA technical session is devoted to emphasizing up-to-date topics in networking systems and technologies by covering problems and challenges related to the intensive multidimensional network developments. This session covers not only the technological side but also the societal and social impacts of network developments. The session is inclusive and spans a wide spectrum of networking-related topics. The ANSA technical session is a great place to exchange ideas, conduct discussions, introduce new ideas and integrate scientists, practitioners, and scientific communities working in networking research themes. Topics: The ANSA session is seeking original, relevant, and high-quality research papers related, but not limited, to the following topics: Networks architecture Networks management Quality-of-Service enhancement Performance modeling and analysis Fault-tolerant challenges and solutions 5G developments and applications Traffic identification and classification Switching and routing technologies Protocols design and implementation Wireless sensor networks Future Internet architectures Networked operating systems Industrial networks deployment Software-defined networks Self-organizing and self-healing networks Mulimedia in Computer Networks Communication quality and reliability Emerging aspects of networking systems The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of networking technology. *** Internet of Things - Enablers, Challenges and Applications (4rd Workshop IoT-ECAW'20) https://www.fedcsis.org/2020/iot-ecaw The Internet of Things is a technology which is rapidly emerging the world. IoT applications include: smart city initiatives, wearable devices aimed to real-time health monitoring, smart homes and buildings, smart vehicles, environment monitoring, intelligent border protection, logistics support. The Internet of Things is a paradigm that assumes a pervasive presence in the environment of many smart things, including sensors, actuators, embedded systems and other similar devices. Widespread connectivity, getting cheaper smart devices and a great demand for data, testify to that the IoT will continue to grow by leaps and bounds. The business models of various industries are being redesigned on basis of the IoT paradigm. But the successful deployment of the IoT is conditioned by the progress in solving many problems. These issues are as the following: The IoT technical session is seeking original, high quality research papers related to such topics. The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of IoT. The focus areas will be, but not limited to, the challenges on networking and information management, security and ensuring privacy, logistics, situation awareness, and medical care. The integration of heterogeneous sensors and systems with different technologies taking account environmental constraints, and data confidentiality levels; Big challenges on information management for the applications of IoT in different fields (trustworthiness, provenance, privacy); Security challenges related to co-existence and interconnection of many IoT networks; Challenges related to reliability and dependability, especially when the IoT becomes the mission critical component; Zero-configuration or other convenient approaches to simplify the deployment and configuration of IoT and self-healing of IoT networks; Knowledge discovery, especially semantic and syntactical discovering of the information from data provided by IoT. Topics: The IoT session is seeking original, high quality research papers related to following topics: Future communication technologies (Future Internet; Wireless Sensor Networks; Web-services, 5G, 4G, LTE, LTE-Advanced; WLAN, WPAN; Small cell Networks?) for IoT, Intelligent Internet Communication, IoT Standards, Networking Technologies for IoT, Protocols and Algorithms for IoT, Self-Organization and Self-Healing of IoT Networks, Object Naming, Security and Privacy in the IoT Environment, Security Issues of IoT, Integration of Heterogeneous Networks, Sensors and Systems, Context Modeling, Reasoning and Context-aware Computing, Fault-Tolerant Networking for Content Dissemination, IoT Architecture Design, Interoperability and Technologies, Data or Power Management for IoT, Fog - Cloud Interactions and Enabling Protocols, Reliability and Dependability of mission critical IoT, Unmanned-Aerial-Vehicles (UAV) Platforms, Swarms and Networking, Data Analytics for IoT, Artificial Intelligence and IoT, Applications of IoT (Healthcare, Military, Logistics, Supply Chains, Agriculture, ...), E-commerce and IoT. The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of IoT. Focus areas will be, but not limited to above mentioned topics. *** Cyber Security, Privacy and Trust (1st International Forum NEMESIS'20) https://www.fedcsis.org/2020/nemesis Nowadays, information security works as a backbone for protecting both user data and electronic transactions. Protecting communications and data infrastructures of an increasingly inter-connected world have become vital nowadays. Security has emerged as an important scientific discipline whose many multifaceted complexities deserve the attention and synergy of computer science, engineering, and information systems communities. Information security has some well-founded technical research directions which encompass access level (user authentication and authorization), protocol security, software security, and data cryptography. Moreover, some other emerging topics related to organizational security aspects have appeared beyond the long-standing research directions. The International Forum of Cyber Security, Privacy, and Trust (NEMESIS?20) as a successor of International Conference on Cyber Security, Privacy, and Trust (INSERT?19) focuses on the diversityof the cyber information security developments and deployments in order to highlight the most recent challenges and report the most recent researches. The session is an umbrella for all cyber security technical aspects, user privacy techniques, and trust. In addition, it goes beyond the technicalities and covers some emerging topics like social and organizational security research directions. NEMESIS?20 serves asa forum of presentation of theoretical, applied research papers, case studies, implementation experiences as well as work-in-progress results in cyber security. NEMESIS?20 is intended to attract researchers and practitioners from academia and industry and provides an international discussion forum in order to share their experiences and their ideas concerning emerging aspects in information security met in different application domains. This opens doors for highlighting unknown research directions and tackling modern research challenges. The objectives of the NEMESIS?20 can be summarized as follows: To review and conclude research findings in cyber security and other security domains, focused on the protection of different kinds of assets and processes, and to identify approaches that may be useful in the application domains of information security. To find synergy between different approaches, allowing elaborating integrated security solutions, e.g. integrate different risk-based management systems. To exchange security-related knowledge and experience between experts to improve existing methods and tools and adopt them to new application areas Topics Topics of interest include but are not limited to: Biometric technologies Cryptography and cryptanalysis Critical infrastructure protection Security of wireless sensor networks Hardware-oriented information security Organization- related information security Social engineering and human aspects in cyber security Individuals identification and privacy protection methods Pedagogical approaches for information security education Information security and business continuity management Tools supporting security management and development Decision support systems for information security Trust in emerging technologies and applications Digital right management and data protection Threats and countermeasures for cybercrimes Ethical challenges in user privacy and trust Cyber and physical security infrastructures Risk assessment and management Steganography and watermarking Digital forensics and crime science Security knowledge management Security of cyber-physical systems Privacy enhancing technologies Trust and reputation models Misuse and intrusion detection Data hide and watermarking Cloud and big data security Computer network security Assurance methods Security statistics The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of networking technology. PAPER SUBMISSION * Authors should submit draft papers (as Postscript, PDF or MSWord file). * The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). * Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. * Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. * Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. * Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. * Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. * Organizers reserve right to move accepted papers between FedCSIS events. * For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions IMPORTANT DATES + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 Track 3 Chairs: Armando, Alessandro, University of Genova, Italy Awad, Ali Ismail, Lulea University of Technology, Sweden Furtak, Janusz, Military University of Technology, Poland -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From evomusart at gmail.com Wed Jun 10 20:22:41 2020 From: evomusart at gmail.com (=?UTF-8?Q?Jo=C3=A3o_Correia?=) Date: Thu, 11 Jun 2020 01:22:41 +0100 Subject: Connectionists: CFP: Special Issue JCR Q2 Entropy journal (IF:2.419). "Artificial Intelligence and Complexity in Art, Music, Games and Design" Message-ID: Journal: Entropy (ISSN 1099-4300), section "Complexity". JCR Journal with Impact factor: 2.419 (Q2). Deadline for manuscript submissions: 30 September 2020. URL:https://www.mdpi.com/journal/entropy/special_issues/ai_complexity Flyer: https://www.mdpi.com/journal/entropy/special_issue_flyer_pdf/ai_complexity/web Dear colleagues, A major?potentially unachievable?challenge in computational arts is constructing algorithms that assess properties such as novelty, creativity and the aesthetic properties of artistic artefacts or performances. Approaches to this have often been based on broadly information-theoretic ideas. For example, ideas linking mathematical notions of form and balance to beauty date back to ancient times. In the twentieth century, attempts were made to produce aesthetic measures based on ideas of a balance between order and complexity. In more recent years, these have been formalised into ideas of aesthetic engagement happening when work is at the ?edge of chaos? between excessive order and excessive disorder; formalising this using notions such as the Gini coefficient and Shannon entropy; and links between cognitive theories of the Bayesian brain and free energy minimisation with aesthetic theories. These ideas have been used both for understanding human behaviour and building creative systems. The use of Artificial Intelligence and complex systems for the development of artistic systems is an exciting and relevant area of research. There is a growing interest in the application of these techniques in fields, such as: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; game content generation; and other creative tasks. This Special Issue will focus on both the use of complexity ideas and artificial intelligence methods to analyse and evaluate aesthetic properties and to drive systems that generate aesthetically engaging artefacts, including but not limited to: music, sound, images, animations, designs, architectural plans, choreographies, poetry, text, jokes, etc. Dr. Juan Romero Dr. Colin Johnson Guest Editors Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. Keywords Computational aesthetics Formalising ideas of aesthetics using ideas from entropy and information theory Computational Creativity Artificial Intelligence in art, design, architecture, music and games Information Theory in art, design, architecture, music and games Complex systems in art, music and design Evolutionary art Evolutionary music Artificial life in arts Swarm art Pattern recognition and aesthetics Cellular automata in architecture Computational intelligence in arts Special Issue Editors: Dr. Juan Romero (jj at udc.es) Guest Editor Computation Department, Universidade da Coru?a, Coru?a, A, Spain Interests: artificial intelligence; artificial art; computational aesthetics; evolutionary computation; artificial neural networks; deep learning; machine learning; computational creativity Dr. Colin Johnson (colin.johnson at nottingham.ac.uk) Guest Editor School of Computing, University of Nottingham, Nottingham, UK Interests: artificial intelligence; evolutionary music; sound synthesis; evolutionary art; swarm art; cellular automata; artificial life From ioannakoroni at csd.auth.gr Fri Jun 12 07:46:41 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Fri, 12 Jun 2020 14:46:41 +0300 Subject: Connectionists: CVML Web lectures 17th June 2020: 1) Deep Semantic Image Segmentation 2) CVML software development tools References: <00a301d640a2$58772050$096560f0$@csd.auth.gr> Message-ID: <01ce01d640af$24456370$6cd02a50$@csd.auth.gr> Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to have launched the live CVML Web lecture series that covers very important Computer Vision/Machine Learning topics. Two new upcoming 45 min lectures will take place soon: 1) Deep Semantic Image Segmentation 2) CVML software development tools Date/time: Wednesday 17th June 2020, 19:30-21:00 EEST for both lectures (9:30-11:00 am California time, 12:30-13:00 pm New York time, 00:30-2:00 am Beijing time). Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Registration for asynchronous access to CVML live Web lecture material (video, pdf/ppt) for any past/present lecture can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lecture abstracts 1) Deep Semantic Image Segmentation, Wednesday 17th June 2020, 19:30-20:15 EEST Summary: Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging. Recent semantic image segmentation methods rely on deep neural networks and aim to assign a specific class label to each pixel of the input image. This lecture overviews the topic and addresses some of the semantic image segmentation challenges, notably: Deep semantic Image Segmentation architectures. Skip connections. U-nets. BiSeNet. Semantic image segmentation performance, computational complexity and generalization. 2) CVML software development tools, Wednesday 17th June 2020, 20:15-21:00 EEST Summary: This lecture overviews the various SW tools, libraries and environments used in computer vision and machine learning: Robotic Operating System (ROS). Libraries (OpenCV, BLAS, cuBLAS, MKL DNN, cuDNN), DNN Frameworks (Neon, Tensorflow, Pytortch, Keras, MXNet), Distributed/cloud computing (MapReduce programming model, Apache Spark), Collaborative SW Development tools (GitHub, Bitbucket). Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. His current interests are in the areas of machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 31000+ citations to his work and h-index 83+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Lecturing record of Prof. I. Pitas: He was Visiting/Adjunct/Honorary Professor/Researcher and lectured at several Universities: University of Toronto (Canada), University of British Columbia (Canada), EPFL (Switzerland), Chinese Academy of Sciences (China), University of Bristol (UK), Tampere University of Technology (Finland), Yonsei University (Korea), Erlangen-Nurnberg University (Germany), National University of Malaysia, Henan University (China). He delivered 90 invited/keynote lectures in prestigious international Conferences and top Universities worldwide. He run 17 short courses and tutorials on Autonomous Systems, Computer Vision and Machine Learning, most of them in the past 3 years in many countries, e.g., USA, UK, Italy, Finland, Greece, Australia, N. Zealand, Korea, Taiwan, Sri Lanka, Bhutan. Relevant links: a) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el b) AIIA Lab www.aiia.csd.auth.gr General information: Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 15 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): Introduction to autonomous systems (delivered 25th April 2020) Introduction to computer vision (delivered 25th April 2020) Image acquisition, camera geometry (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 2nd May 2020) Structure from Motion (delivered 9th May 2020) 2D convolution and correlation algorithms (delivered 9th May 2020) Motion estimation (delivered 20th May 2020) Introduction to Machine Learning (delivered 20th May 2020) Artificial Neural Networks. Perceptron (delivered 27th May 2020) Multilayer perceptron. Backpropagation (delivered 27th May 2020) Deep learning. Convolutional NNs (delivered 3rd June 2020) Deep object detection (delivered 3rd June 2020) Object tracking (delivered 10th June 2020) Localization and mapping (delivered 10th June 2020) Deep Semantic Image Segmentation (to be delivered 17th June 2020) CVML programming tools (to be delivered 17th June 2020) Sincerely yours Prof. Ioannis Pitas Director of Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml ---------------------------------------------------------------------------- ---------------------------------------------------------------------- Computer Vision and Machine Learning (CVML) email list www page: http://www.aiia.csd.auth.gr/EN/cvml.html 1) To post a message (in English) to CVML please: send an email to cvml at lists.auth.gr with subject: [Topic] Your_subject [Topic] should be one of the following ones: [Jobs], [Conferences], [Journals], [Courses], [Studies], [News]. 2) To subscribe (for free) to this Computer Vision and Machine Learning (CVML) email list and send/receive scientific messages/news, please: send an empty email to sympa at lists.auth.gr with subject: subscribe cvml at lists.auth.gr your_name 3) To unsubscribe any time, send an empty email to sympa at lists.auth.gr with subject: unsubscribe cvml at lists.auth.gr 4) If you have any questions related to CVML list please contact: orestiss at csd.auth.gr List moderation is supervised by Prof. I.Pitas ( pitas at csd.auth.gr). -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Fri Jun 12 06:21:41 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Fri, 12 Jun 2020 12:21:41 +0200 Subject: Connectionists: CFP: Special Issue on "Advances in Artificial Intelligence and Machine Learning for BCI/BMI" Message-ID: *Special Issue on "Advances in Artificial Intelligence and Machine Learning for BCI/BMI"* Journal: Bioengineering (ISSN 2306-5354). Deadline for manuscript submissions: 31 December 2020. URL:https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI Flyer: https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI Dear colleagues, The brain?computer interface (BCI), also called the brain?machine interface (BMI), is an emerging technology involving software and hardware communication systems allowing the use of brain activity to control external devices such as computers, robots, and machines. BCI systems translate the activity of the brain to conduct an action or a command that will be executed by the external device. Artificial intelligence (AI)/machine learning (ML) has received great attention for the development of BCI applications to solve difficult problems in several domains, in particular, medical and robotic fields. AI/ML has since become the most efficient tool for BCI systems. This Special Issue aims to solicit original research papers as well as review articles focusing on recent advances in AI/ML for BCI research. The main topics include, but are not limited to, the following: ??? - Brain?computer interface (BCI)/Brain?machine interface (BMI) ??? - Artificial intelligence in BCI/BMI ??? - Machine learning in BCI/BMI ??? - Deep learning in BCI/BMI ??? - Brain signal processing for BCI/BMI ??? - Neurofeedback ??? - Neural Rehabilitation Engineering ??? - Related applications Assoc. Prof. Dr. Larbi Boubchir Prof. Dr. Yuling Yan Guest Editors *Manuscript Submission Information* Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access quarterly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. *Special Issue Editors:* Assoc. Prof. Dr. Larbi Boubchir (larbi.boubchir at ai.univ-paris8.fr) Guest Editor LIASD research Lab., University of Paris 8, France Interests: biomedical signal processing; EEG; image processing; machine learning; brain?computer interface; biometrics Prof. Dr. Yuling Yan (yyan1 at scu.edu) Guest Editor Department of Bioengineering, Santa Clara University, USA Interests: biosignal processing; bioimaging; AI-assisted disease classification; laryngeal dynamics and physiology; biomedical visualization; brain-computer interface -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristian.rodriguezrivero at gmail.com Thu Jun 11 06:48:06 2020 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Thu, 11 Jun 2020 12:48:06 +0200 Subject: Connectionists: Last CFP: Computational Intelligence for Applied Time Series Forecasting in Biomedical Sciences (CIATSFBS) - ICIC 2020 In-Reply-To: References: Message-ID: http://ic-ic.tongji.edu.cn/2020/Special%20Session.htm#ss2 *Special Session on: * *Computational Intelligence for Applied Time Series Forecasting in Biomedical Sciences (CIATSFBS)* *2020 International Conference on Intelligent Computing* *October 2-5, 2020, Bari, Italy **(http://ic-ic.tongji.edu.cn/2020/index.htm )* *Motivation* Over the past few decades, application of simple statistical procedures with considerable heuristic or judgmental input was the beginning of forecasting, then in the 80?s, sophisticated time series models started to be used by some of the dynamic system operators, and these approaches, were to become pioneering works in this field. Soft computing methods including support vectors regression (SVR), fuzzy inference system (FIS) and artificial neural networks (ANN) to time-series forecasting (TSF) has been growing rapidly in order to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision-making in many fields of the sciences. The purpose of this session is to hold smaller, informal meetings where experts in a particular field of time series forecasting can discuss forecasting problems in Biomedical Sciences, research, and solutions in the field of applied machine learning. There is generally a nominal registration fee associated with attendance. This session aims to debate in finding solutions for problems facing the field of forecasting. We wish to hear from people working in different research areas, practitioners, professionals and academicians involved in this problematic. *Scope* The session seeks to foster the presentation and discussion of innovative techniques, implementations and applications of different problems that are Forecasting involved, specially in real-world problems applied to control and automation. ? Time Series Analysis ? Time Series Forecasting ? Evaluation of Forecasting Methods and Approaches ? Impact of Uncertainty on Decision Making ? Seasonal Adjustment ? Multivariate Time Series Modelling and Forecasting ? Clinical Time Series Machine learning approaches ? Healthcare Diagnosis and Prognostics *Organizers:* Prof. Cristian Rodriguez Rivero, University of Amsterdam, c.m.rodriguezrivero at uva.nl, IEEE CIS, Co-Founder LA-CIS. Prof. Alvaro Orjuela Ca??n, Universidad del Rosario, dorjuela at ieee.org, IEEE CIS, Co-Founder Board of Directors of LA-CIS. Prof. H?ctor Daniel Pati?o, Universidad Nacional de San Juan, Argentine, dpatino at inaut.unsj.edu.ar. IEEE CIS. Prof. Juli?n Antonio Pucheta, Universidad Nacional de C?rdoba, Argentine, jpucheta at efn.uncor.edu. Prof. Gustavo Juarez, Universidad Nacional de Tucum?n, Argentine, juarez.gustavo at ieee.org, IEEE CIS. Prof. Leonardo Franco, School of Engineering in Informatics, University of Malaga, Spain. lfranco at lcc.uma.es. IEEE CIS. *Important Dates* *Paper submission: June 15, 2020* *Pre-decision notification: June 30, 2020* *Decision notification: July 10, 2020* *Camera-ready submission: July 20, 2020* *Registration: July 20, 2020* *Paper Submission: **Paper submission Link* Manuscripts should be written in English with a *single column *single-column, single-space format. Each newly submitted paper should be not shorter than *10 pages *including figures and references. The format for submitted papers should refer to the *ELECTRONIC FORMAT REQUIREMENTS* of the Springer-Verlag. *We are strongly suggesting you typeset your paper in Springer LNCS WORD format when you are submitting your papers. In doing so, it will save your time in typesetting your camera-ready paper for registration process. *Authors should submit their papers to the ICIC 2020 by the *On-Line Electronic Submitting System* . *Selection of accepted full papers * All accepted conference papers will be published by Springer Verlag, including Lecture Notes in Computer Sciences (LNCS)/Lecture Notes in Artificial Intelligence (LNAI)/Lecture Notes in Bioinformatics (LNBI). All the papers published in these three volumes of Lecture Notes since 2005 have *unexceptionally* been indexed in *EI Compendex*, *SCOPUS*, and *DBLP etc..* This record has continuously been kept for 15 years. And a small number of selected high-quality papers will be extended for possible inclusion in several main-stream international journals. Fees, if any, for such Journal publications, will have to be borne by the authors. We look forward to receiving your high-quality submissions!! Cristian Rodriguez Rivero, Ph.D., Faculteit der Natuurwetenschappen, Wiskunde en Informatica Universiteit van Amsterdam Science Park 904, 1098XH, Amsterdam, Room C2.159 LA-CIS Co-Founder, Board of Directors and Steering Committee (la-cci.org) Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar c.m.rodriguezrivero at uva.nl Cell: +31687697539 <%2B1%20%28530%29%20757-8827> Virus-free. www.avg.com <#m_-8608073090235633300_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From jenny.benois-pineau at u-bordeaux.fr Thu Jun 11 15:18:18 2020 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Thu, 11 Jun 2020 21:18:18 +0200 Subject: Connectionists: CFP ICPR'2020 WS Explainable DL/AI Message-ID: <9AC49639-84DA-46FB-9836-B7277DB41EFB@u-bordeaux.fr> ----------------We apologize if you receive this message several times--------- Call for papers ICPR?2020 Workshop **************************Explainable Deep Learning/AI******************** https://edl-ai-icpr.labri.fr/ Date: January 11th 2021 The recent focus of AI and Pattern Recognition communities on the supervised learning approaches, and particularly to Deep Learning / AI, resulted in considerable increase of performance of Pattern Recognition and AI systems, but also raised the question of the trustfulness and explainability of their predictions for decision-making. Instead of developing and using Deep NNs as black boxes and adapting known architectures to variety of problems, the goal of explainable Deep Learning / AI is to propose methods to ?understand? and ?explain? how the these systems produce their decisions. The goals of the workshop are to bring together research community which is working on the question of improving explainability of AI and Pattern Recognition algorithms and systems. The topics of the workshop cover but are not limited to: ? ?Sensing? or ?salient features? of Neural Networks and AI systems - explanation of which features for a given configuration yield predictions both in spatial (images) and temporal (time-series, video) data; ? Attention mechanisms in Deep Neural Networks and their explanation; ? For temporal data, the explanation of which features and at what time are the most prominent for the prediction and what are the time intervals when the contribution of each data is important; ? How the explanation can help on making Deep learning architectures more sparse (pruning) and light-weight; ? When using multimodal data how the prediction in data streams are correlated and explain each other; ? Automatic generation of explanations / justifications of algorithms and systems? decisions; ? Decisional uncertainly and explicability ? Evaluation of the explanations generated by Deep Learning and other AI systems. *** Pannel: ?Toward more explainable Deep Learning and AI systems?, Chair: Dragutin Petcovic(SFSU,USA) Moderator will ask invited speakers to briefly present their opinions and ideas on the topic of the panel and then the audience will be invited to a discussion *** Important Dates: Submission deadline : October 10th 2020 Workshop author notification: November 10th 2020 Camera-ready submission: November 15th 2020 Finalized workshop program: December 1st 2020 *** Paper Submission: The Proceedings of the EDL-AI 2020 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines. Two types of contribution will be considered: Full paper (12-15 pages) Short papers (6-8 pages) *** Submission site: will be open in September Program Committee: Christophe Garcia (LIRIS, France) Hugues Talbot (EC, France) Dragutin Petkovic (SFSU,USA) Alexandre Beno?t( LISTIC,France) Mark T. Keane (UCD, Ireland) Georges Quenot(LIG, France) Stefanos Kolias (NTUA, Grece) Jenny Benois-Pineau(LABRI, France) Herv? Le Borgne (LIST, France) Noel O?Connor (DCU, Ireland) Nicolas Thome(CNAM, France) Jenny Benois-Pineau, Georges Quenot Workshop Organizers Jenny Benois-Pineau, Professeure en Informatique, Charg?e de mission aux relations Internationales Coll?ge Sciences et Technologies, Universit? de Bordeaux Jenny Benois-Pineau, PhD, HDR, Professor of Computer Science, Chair of International relations Faculty of Sciences and Technologies University of Bordeaux From Edgar.Galvan at mu.ie Fri Jun 12 13:38:36 2020 From: Edgar.Galvan at mu.ie (=?iso-8859-1?Q?Edgar_Galv=E1n?=) Date: Fri, 12 Jun 2020 17:38:36 +0000 Subject: Connectionists: Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges Message-ID: Dear all, Peter Mooney and I are happy to announce the first draft of our survey paper: "Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges" https://arxiv.org/abs/2006.05415 We value your comments, in particular to point out parts that we have misinterpreted or missed. We will submit this work to a journal once we have improved it sufficiently by taking into account the feedback from the community and colleagues. With every best wishes, Edgar and Peter ============================================================================= Dr. Edgar Galvan Co-head of the Naturally Inspired Computation Research Group Department of Computer Science Maynooth University Maynooth Co. Kildare Ireland Email: edgar.galvan at mu.ie Tel+ 353 (0) 1 474 7154 ============================================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiaochun.cheng at gmail.com Sat Jun 13 07:31:33 2020 From: xiaochun.cheng at gmail.com (Xiaochun Cheng) Date: Sat, 13 Jun 2020 12:31:33 +0100 Subject: Connectionists: Journal special issues Message-ID: <014601d64176$317d7420$94785c60$@gmail.com> [Apologies if you got multiple copies of relevant invitation] Special Issue on Deep Learning for 5G IoT Systems http://www.springer.com/cda/content/document/cda_downloaddocument/CFP+JMLC+S pecial+Issue+-+DL+for+5G+IoT.pdf?SGWID=0-0-45-1661559-p173917603 International Journal of Machine Learning and Cybernetics https://link.springer.com/journal/13042 Science Citation Index Expanded, Impact Factor 3.844. JCR Q1. Submission of manuscript: August 28, 2020 Special Issue on Security of Cloud Service for the Manufacturing Industry https://wol-prod-cdn.literatumonline.com/pb-assets/assets/21613915/Special_I ssue_CFP_V0920-1570185891153.pdf Transactions on Emerging Telecommunications Technologies https://onlinelibrary.wiley.com/journal/21613915 https://mc.manuscriptcentral.com/ett Science Citation Index Expanded, Impact Factor 1.258, JCR Q2. Submission of manuscript: June 30, 2020 Special Issue "Cognitive Computing with Big Data System over Secure Internet of Things ", https://www.mdpi.com/journal/applsci/special_issues/cognitive_computing Applied Sciences (ISSN 2076-3417), 28 June 2020. 2018 Impact Factor: 2.217. Indexed in SCI. JCR Q2. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Fri Jun 12 18:27:41 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Fri, 12 Jun 2020 23:27:41 +0100 Subject: Connectionists: =?utf-8?q?=5BExtended_deadline=5D_CFP=3A_SoGood_2?= =?utf-8?q?020_=E2=80=93_5th_Workshop_on_Data_Science_for_Social_Good_=28_?= =?utf-8?q?ECML-PKDD_2020=29?= Message-ID: <81747ea6-6b44-3257-ae75-967d6e6725dd@isep.ipp.pt> Call for Papers SoGood 2020 ? 5th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2020, 14-18 September 2020,https://ecmlpkdd2020.net/ SoGodd2020: https://sites.google.com/view/ecmlpkddsogood2020/home Dus to several requests, we have extended the submission deadline: * Workshop paper/project submission deadline:*June 18th, 2020 (extended*) * Workshop paper/project acceptance notification :*July 2nd July 14th, 2020 (extended)* * Workshop paper camera-ready deadline: *July 21st, 2020* Organizers: * Ricard Gavald? (UPC BarcelonaTech, Spain),gavalda at cs.upc.edu * Irena Koprinska (University of Sydney, Australia),irena.koprinska at sydney.edu.au * Jo?o Gama (University of Porto, Portugal),jgama at fep.up.pt * Rita Ribeiro (University of Porto, Portugal),rpribeiro at fc.up.pt Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From crpalmec7 at alumnes.ub.edu Sun Jun 14 00:08:12 2020 From: crpalmec7 at alumnes.ub.edu (=?Windows-1252?Q?CRISTINA_PALMERO_CANTARI=D1O?=) Date: Sun, 14 Jun 2020 04:08:12 +0000 Subject: Connectionists: [CfP] Special Issue on Computer Vision and Machine Learning for Healthcare Applications (PAA) In-Reply-To: References: , , , , , , Message-ID: Call for papers Special Issue on Computer Vision and Machine Learning for Healthcare Applications (Pattern Analysis and Applications journal) Description The Computer Vision and Machine Learning for Healthcare Applications special issue aims to collect latest approaches and findings, as well as to discuss the current challenges of machine learning and computer vision based e-health and welfare applications. The focus is on the employment of single or multi-modal face, gesture and pose analysis. We expect this special issue to increase the visibility and importance of this area, and contribute, in the short term, in pushing the state of the art in the automatic analysis of human behaviors for health and wellbeing applications. Topics of interest include, but are not limited to: * Multi-modal integration * Psychological profiling from (audio)-visual and/or multi-modal data * Approaches based on psychology behavioral models * Mobile-based and human-computer interaction applications * User-understanding in human-computer interaction * Human behavior analysis for health and well-being support * Assistive technologies for supporting vulnerable people * Virtual avatars and coaching * Physical and psychological therapy systems * Assistive care * User acceptance of empathic assistive systems * Real-time applications * Datasets Important dates Paper submission deadline: 1st August, 2020. Acceptance notification: 30th September, 2020. Tentative publication date: 1st December, 2020. Guest Editors Cristina Palmero (Universitat de Barcelona and Computer Vision Center, Spain) Sergio Escalera (Universitat de Barcelona and Computer Vision Center, Spain) Maria In?s Torres (University of the Basque Country (UPV/EHU) and SPIN RG, Spain) Anna Esposito (Universit? della Campania ?Luigi Vanvitelli", Italy) Alexa Mosegu? (Universitat de Barcelona and Computer Vision Center, Spain) Advisory Editors Bjorn W. Schuller (Imperial College London, UK, and University of Augsburg, Germany) Jeffrey Cohn (University of Pittsburgh and Carnegie Mellon University, USA) More information https://www.springer.com/journal/10044/updates/17569830 http://chalearnlap.cvc.uab.es/special-issue/39/description/ Aquest missatge, i els fitxers adjunts que hi pugui haver, pot contenir informaci? confidencial o protegida legalment i s?adre?a exclusivament a la persona o entitat destinat?ria. 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This email message and any attachments it carries may contain confidential or legally protected material and are intended solely for the individual or organization to whom they are addressed. If you are not the intended recipient of this message or the person responsible for processing it, then you are not authorized to read, save, modify, send, copy or disclose any part of it. If you have received the message by mistake, please inform the sender of this and eliminate the message and any attachments it carries from your account. -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.reinke85 at gmail.com Sat Jun 13 08:33:42 2020 From: c.reinke85 at gmail.com (Chris Reinke) Date: Sat, 13 Jun 2020 14:33:42 +0200 Subject: Connectionists: Open PhD Position in Deep Probabilistic Reinforcement Learning for Audio-Visual Human-Robot Interaction at INRIA Grenoble Message-ID: Open PhD Position in Deep Probabilistic Reinforcement Learning for Audio-Visual Human-Robot Interaction at INRIA Grenoble More information and application procedure: https://jobs.inria.fr/public/classic/en/offres/2020-02718 Starting date: 2020-10-01 Duration of contract: 3 years Deadline to apply: 2020-07-08 Description: Reinforcement learning, and in particular deep reinforcement learning (DRL), became very popular in the recent, successfully addressing a wide variety of tasks such as board game playing. It has also been popular in addressing computer vision or pattern recognition tasks for which a differentiable loss function is difficult to find or does not exist [1]. The most popular methodology in DRL is to approximate the so-called action-value function, leading to deep Q networks (DQN) [2] and its derivatives. In these methods, both the action policy and the system?s transition function are implicitly learned within the neural network that approximates the action-value. This is limiting since it is unclear how to incorporate prior knowledge of the policy or of the system. Alternatives to the mainstream methodology exists and they can be based, for instance, in parametrising a deterministic policy, and optimizing the parametrisation by gradient descent [3]. Probabilistic alternatives based on the EM algorithm were first proposed in the late 90?s [4], and revisited in the 2010?s, see for instance [5]. In parallel, progress on deep learning lead to the conception of variational auto-encoders [6], which are non-linear probabilistic generative models. The use of VAE for reinforcement learning is at its very early stage [7], in which all actions, rewards and observations are jointly considered to infer a latent state, which is designed to encode the generation process of both the policy and the value function. In this PhD we would to investigate the use of VAE-based RL for audio-visual human-robot interaction. We aim to combine VAE for RL with probabilistic models developed for other tasks, such as speaker tracking or speech enhancement. VAE is a prominent research line but we are open to other ideas. Our team has expertise in probabilistic models for a variety of tasks [8,9] as well as on reinforcement learning for HRI [10]. Our team is searching for a motivated PhD candidate to investigate new approaches for deep reinforcement learning (DRL) in the field of audio-visual human-robot interaction. Although its high potential, DRL is still in its infancies when it comes to real-world applications such as robotics. Our group investigates DRL methods for the control of robots based on audio-visual inputs [10]. Our current project, in cooperation with several European partners [11], develops new approaches to enable health-care robots to interact and communicate with groups of people by providing information or guiding them. In difference to existing methods we are looking into approaches that combine visual and auditory information which improve for example the identification of an active speaker or their location. The PhD work will take place at Inria Grenoble, in Montbonnot-Saint-Martin, in the Perception Team, headed by Radu Horaud. It will be supervised by Chris Reinke (Post-doctoral Researcher) & Xavier Alameda-Pineda (Inria Research Scientist). Skills: Research Master's degree, or equivalent, in a discipline connected to signal and information processing, computer vision and machine learning. The candidate should be willing to study independently new approaches and to develop their own ideas in this field, getting inspiration from the previous description and the progress on the literature. The candidate should have preferably a background in artificial intelligence, machine learning, computer science or applied mathematics. Moreover, a candidate should have knowledge in programming, preferable in Python. Remuneration: - 1st and 2nd year: 1982 euros brut /month - 3rd year: 2085 euros brut / month Benefits package: - Subsidized meals - Partial reimbursement of public transport costs - Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) - Possibility of teleworking (after 6 months of employment) and flexible organization of working hours - Professional equipment available (videoconferencing, loan of computer equipment, etc.) - Social, cultural and sports events and activities - Access to vocational training - Social security coverage All the best, Chris Reinke -- Postdoctoral Researcher Perception Unit Inria Grenoble www.scirei.net References [1] Ren, Liangliang, Jiwen Lu, Zifeng Wang, Qi Tian, and Jie Zhou. "Collaborative deep reinforcement learning for multi-object tracking." In Proceedings of the European Conference on Computer Vision (ECCV), pp. 586-602. 2018. [2] Mnih, Volodymyr, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves et al. "Human-level control through deep reinforcement learning." Nature 518, no. 7540 (2015): 529-533. [3] Casas, Noe. "Deep deterministic policy gradient for urban traffic light control." arXiv preprint arXiv:1703.09035 (2017). [4] Dayan, Peter, and Geoffrey E. Hinton. "Using expectation-maximization for reinforcement learning." Neural Computation 9, no. 2 (1997): 271-278. [5] Vlassis, Nikos, Marc Toussaint, Georgios Kontes, and Savas Piperidis. "Learning model-free robot control by a Monte Carlo EM algorithm." Autonomous Robots 27, no. 2 (2009): 123-130. [6] Kingma, Diederik P., and Max Welling. "Auto-encoding variational bayes." arXiv preprint arXiv:1312.6114 (2013). [7] Igl, Maximilian, Luisa Zintgraf, Tuan Anh Le, Frank Wood, and Shimon Whiteson. "Deep variational reinforcement learning for pomdps." arXiv preprint arXiv:1806.02426 (2018). [8] Ban, Yutong, Xavier Alameda-Pineda, Laurent Girin, and Radu Horaud. "Variational bayesian inference for audio-visual tracking of multiple speakers." IEEE transactions on pattern analysis and machine intelligence (2019). [9] Sadeghi, Mostafa, and Xavier Alameda-Pineda. "Robust unsupervised audio-visual speech enhancement using a mixture of variational autoencoders." In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 7534-7538. IEEE, 2020. [10] Lathuili?re, St?phane, Beno?t Mass?, Pablo Mesejo, and Radu Horaud. "Neural network based reinforcement learning for audio?visual gaze control in human?robot interaction." Pattern Recognition Letters 118 (2019): 61-71. [11] https://spring-h2020.eu -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.reinke85 at gmail.com Sat Jun 13 08:34:31 2020 From: c.reinke85 at gmail.com (Chris Reinke) Date: Sat, 13 Jun 2020 14:34:31 +0200 Subject: Connectionists: Open PhD Position in Deep Probabilistic Generative Models for Audio-Visual Temporal Data at INRIA Grenoble Message-ID: Open PhD Position in Deep Probabilistic Generative Models for Audio-Visual Temporal Data at INRIA Grenoble More information and application procedure: https://jobs.inria.fr/public/classic/en/offres/2020-02718 Starting date: 2020-10-01 Duration of contract: 3 years Deadline to apply: 2020-07-08 Description: The overall goal of the proposed PhD topic is to develop deep generative models for the automatic analysis of audio-visual temporal data. In the context of human-robot interaction, we want to automatically estimate how many people participate to a conversation, where they are, what they are saying, to whom, which gestures they perform, see [1,2]. The developed algorithms are expected to be implemented in a companion humanoid robot for Human-robot social interaction. In this PhD work, we will explore the development of deep probabilistic generative models [3,4]. Learning perception models in multi-person scenarios is challenging because we need to properly fuse multi-sensory (mainly audio-visual) data, efficiently solve the combinatorial observation-to-person assignment problem and account for a time-varying number of people. Therefore, we have to conceptualize parametric models that are able to faithfully and efficiently represent a scene, and develop and evaluate the associated parameter estimation algorithms. Importantly, for the sake of interpretability, the representation should be structured into a set of individual cues per person plus a set of collective cues. We will inspire on state-of-the-art techniques for visual person (body, face) detection and for person description (appearance, pose, orientation), on the one side, and on speech processing (speech enhancement, speech and speaker automatic recognition), on the other side. Part of the informative features will be extracted using learnable parametric methods, e.g. deep neural networks (DNNs). We will need to investigate how to fine-tune these architectures to satisfy the goals of the project, and to adapt to the data distribution of multi-person conversational scenarios. Once these features are conceived and learned, we will be able to perform joint inference of individual and collective cues, and define and address the combinatorial assignment problem. The fact that multiple features are extracted and can be assigned to multiple persons, together with the impact this assignment has on the temporal dynamics, leads to a combinatorial problem growing exponentially with time. A clear example of this is found in multi-person tracking [5] and in sound separation [6] for which we have explored generative/Bayesian probabilistic models and associated solutions based on variational inference. In the present PhD work, this kind of models will be combined with DNNs. The joint training of probabilistic and deep neural models is difficult and has to be done with care [7]. The PhD student will be expected to design the deep architectures able to extract cues from raw data design, to conceive their combination with probabilistic models, and to develop the optimization frameworks and algorithms able to soundly optimize for the overall set of parameters. The PhD work will take place at Inria Grenoble, in Montbonnot-Saint-Martin, in the Perception Team, headed by Radu Horaud. It will be supervised by Laurent Girin (Professor Grenoble-INP) & Xavier Alameda-Pineda (Inria Research Scientist). Skills: Research Master's degree, or equivalent, in a discipline connected to signal and information processing, computer vision and machine learning. Experience in probabilistic models, specifically variational auto-encoders is highly welcome. A particular interest/experience in speech/audio processing, visual recognition, and/or multimodal fusion is a plus. Strong motivation for the research work. Ability to work both independently and to collaborate within a small team. Computer skills: MATLAB, Python, Deep Learning Toolkits (e.g. Keras, Pytorch). Remuneration: - 1st and 2nd year: 1982 euros brut /month - 3rd year: 2085 euros brut / month Benefits package: - Subsidized meals - Partial reimbursement of public transport costs - Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) - Possibility of teleworking (after 6 months of employment) and flexible organization of working hours - Professional equipment available (videoconferencing, loan of computer equipment, etc.) - Social, cultural and sports events and activities - Access to vocational training - Social security coverage All the best, Chris Reinke -- Postdoctoral Researcher Perception Unit Inria Grenoble www.scirei.net References [1] X. Alameda-Pineda, Y. Yan, E. Ricci, O. Lanz, and N. Sebe, ?Analyzing Free-standing Conversational Groups: A Multimodal Approach,? in ACM International Conference on Multimedia, 2015, pp. 4-15. [2] X. Alameda-Pineda, J. Staiano, R. Subramanian, L. M. Batrinca, E. Ricci, B. Lepri, O. Lanz, and N. Sebe, ?SALSA: A Novel Dataset for Multimodal Group Behavior Analysis,? IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, iss. 8, 2016. [3] S. Leglaive, X. Alameda-Pineda, L. Girin, and R. Horaud, ?A Recurrent Variational Autoencoder for Speech Enhancement,? in IEEE International Conference on Audio, Speech and Signal Processing, 2020. [4] M. Sadeghi, S. Leglaive, X. Alameda-Pineda, L. Girin, R. Horaud, ?Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders,? To appear in IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020. [5] Y. Ban, X. Alameda-Pineda, L. Girin, and R. Horaud, ?Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers,? IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 [6] D. Kounades-Bastian, L. Girin, X. Alameda-Pineda, S. Gannot, and R. Horaud, ?A variational EM algorithm for the separation of time-varying convolutive audio mixtures,? IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 24, no. 8, pp. 1408?1423, 2016. [7] S. Lathuili?re, P. Mesejo, X. Alameda-Pineda, and R. Horaud, ?Deepgum: Learning deep robust regression with a Gaussian- uniform mixture model,? in Proceedings of European Conference on Computer Vision, 2018. -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Sat Jun 13 18:43:27 2020 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Sat, 13 Jun 2020 18:43:27 -0400 Subject: Connectionists: published abstracts and video streams from the 2019 European Conference on Eye Movements In-Reply-To: <0ba401d641d0$573c7030$05b55090$@neuralcorrelate.com> References: <066601d64117$790f56f0$6b2e04d0$@neuralcorrelate.com> <0b7001d641cf$24377be0$6ca673a0$@neuralcorrelate.com> <0ba401d641d0$573c7030$05b55090$@neuralcorrelate.com> Message-ID: <001d01d641d4$10d735e0$3285a1a0$@neuralcorrelate.com> Dear Colleagues, This is a belated announcement of the published abstracts from the 2019 European Conference on Eye Movements (ECEM), hosted in Alicante, Spain. Please find below the Contents Alert of the corresponding Special Issue of the Journal of Eye Movements Research. Note that this special issue contains video streams of the keynote lectures and symposia presentations, which might serve as introductions to expanding fields of research. A number of colleagues have reached out to us with positive feedback about these videos, saying that they enjoyed them and downloaded them quite often. Our hope with this announcement is to increase their reach and accessibility to the wider eye movements and vision communities. On behalf of JEMR and the 2019 ECEM organizing committee, * Susana Martinez-Conde, SUNY Downstate Health Sciences University, New York, USA * Luis Martinez-Otero, Universidad Miguel Hern?ndez, Alicante * Albert Compte, Institut d'Investigacions Biom?diques August Pi i Sunyer (IDIBAPS) * Rudolf Groner, University of Bern and Journal of Eye Movement Research Contents Alert of the Special Issue of the Journal of Eye Movement Research 20th European Conference on Eye Movements * Abstracts of the 20th European Conference on Eye Movements, 18-22 August 2019, in Alicante (Spain) Susana Martinez-Conde, Luis Martinez-Otero, Albert Compte; Rudolf Groner * PDF * Beyond the lab ? Eye tracking in dynamic real-world environments Enkelejda Kasneci * Hearing in a world of light: why, where, and how visual and auditory information are connected by the brain Jennifer M. Groh * The fate and function of vision during saccades Martin Rolfs * Unraveling Concussion Impact by Impact Janet C. Rucker * On the 'Where' and 'When' of Eye Guidance in Real-World Scenes Antje Nuthmann * The effects of fixational eye movements on population responses in V1. Keynote at the 20th European Conference on Eye Movements in Alicante, September 22, 2019 Hamutal Slovin * From lab-based studies to eye-tracking in virtual and real worlds: conceptual and methodological problems and solutions. Symposium 4 at the 20th European Conference on Eye Movement Research (ECEM) in Alicante, 20.8.2019. Ignace T.C. Hooge, Roy S. Hessels, Diederick C, Niehorster, Gabriel J. Diaz, Andrew T. Duchowski, Jeff B. Pelz * Eye movements during the reading of narrative and poetic texts. Symposium 6 at the 20th European Conference on Eye Movement Research (ECEM) in Alicante, 21.8.2019. Arthur Jacobs, Jana L?dtke, Johanna Kaakinen, Lynn S. Eekhof * Eye movements in developing readers: From basic research to classroom application. Parts of symposium 7 at the 20th European Conference on Eye Movements in Alicante, September 21, 2019 Alexandra Spichtig, Christian Vorstius, Ronan Reilly, Jochen Laubrock * Eye and head movements while looking at rotated scenes in VR. Session "Beyond the screen's edge" at the 20th European Conference on Eye Movement Research (ECEM) in Alicante, 19.8.2019 Nicola C. Anderson, Walter F. Bischof * Eyes Wide Shut: Gaze dynamics without vision, Symposium 6 at the 20th European Conference on Eye Movement Research (ECEM) in Alicante, 21.8.2019. Susana Martinez-Conde, Bradley Buchsbaum, Fatema Ghasia, Freek van Ede, Stephen L. Macknik ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience 2014 Society for Neuroscience?s Science Educator Award 2014 Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From rufin.vogels at kuleuven.be Sun Jun 14 07:42:33 2020 From: rufin.vogels at kuleuven.be (Rufin Vogels) Date: Sun, 14 Jun 2020 11:42:33 +0000 Subject: Connectionists: ph.d./postdoc positions Message-ID: <5d8e783e2bc64598ba48f0a5193061ae@ICTS-S-EXMBX18.luna.kuleuven.be> PhD Student / Postdoc positions at the Dept. of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, The Netherlands, at the Dept. of Neurosciences, Biomedical Sciences, KU Leuven, Belgium and at the Hertie Institute for Clinical Brain Research and Center for Integrative Neuroscience, University of T?bingen. The positions are part of an ERC-Synergy grant RELEVANCE jointly awarded to profs. de Gelder (Maastricht), Giese (T?bingen), Vogels (KU Leuven) The project RELEVANCE aims to understand how the brain evolved special structures to process highly relevant social stimuli like bodies and to reveal how social vision sustains adaptive behavior. The project will develop a mechanistic and computational understanding of the visual processing of bodies and interactions through integrating advanced methods from multiple disciplines: psychophysics, Ecog and high-field functional imaging in combination with computer animation, virtual reality and neural stimulation in humans; single unit electrophysiology with causal techniques in monkeys, and development of biologically-Informed deep neural network models that unify the data. For Maastricht University (http://www.maastrichtuniversity.nl/): The student will be integrated in the research that takes place at the Department for Cognitive Neuroscience and the Maastricht Brain Imaging Center at Maastricht University, which has access to a new MR-lab with 3 Tesla, 7 Tesla and 9.4 Tesla human MRI systems (www.scannexus.nl). The primary responsibilities of the PhD student will be: 1) to actively participate in the experimental design, analysis (and acquisition) of 7 Tesla functional MRI data; 2) collaborate to the other parts of the research program and 3) writing and publishing of articles. Requirements: Candidates should have a (research) master degree in one of the following disciplines: (Cognitive) Neuroscience, (Biomedical) Engineering, Computer Science or Mathematics. In addition to these requirements, candidates should preferably have a theoretical interest in the area of visual perception and experience with scientific programming (Matlab, Python or any other language). Research experience (during the master thesis or research internships) in one or more of the following topics/techniques will be strongly valued: functional MRI acquisition/analysis, machine learning, multivariate pattern recognition. Additional information Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, The Netherlands; Brain and Emotion group, Maastricht Brain Imaging Centre (MBIC), Email: b.degelder at maastrichtuniversity.nl Tel: +31-43-3881802 For KU Leuven (http://www.kuleuven.be/): The student will be integrated in the research that takes place at the Division of Neurophysiology of the Department of Neurosciences, at KU Leuven, with access to a 3T MRI scanner for large animals, set-ups for single unit recordings and neural perturbation in behaving nonhuman primates, with a state-of-the-art monkey housing facility. The primary responsibilities of the PhD student will be: 1) to actively participate in the experimental design of recording experiments, and acquisition and analysis of single unit data in fMRI-defined cortical patches of rhesus monkeys, 2) collaborate with the other partners of the research program and 3) writing and publishing of articles. Requirements: Candidates should have a (research) master degree in one of the following disciplines: (Cognitive) Neuroscience, (Biomedical) Engineering, Computer Science or Mathematics. In addition to these requirements, candidates should have a strong theoretical interest in the area of visual neuroscience and experience with scientific programming (Matlab, Python or any other language). Additional information Laboratorium voor Neuro- en Psychofysiologie, Dpt of Neurosciences, Biomedical Sciences, KU Leuven, Belgium & Leuven Brain Institute, KU Leuven, Belgium Email: Rufin.Vogels at kuleuven.be. For University of T?bingen (http://www.hih-tuebingen.de/ and https://www.cin.uni-tuebingen.de/) The successful students / postdocs will be integrated in the research taking place in the Section for Computational Sensomotorics (http://www.compsens.uni-tuebingen.de/), which is part of the Dept. of Cognitive Neurology. The group works on neural modeling, machine learning techniques related to social recognition, computer animation, and human motion modeling, realizing highly-realistic avatars and VR applications for experiments in neuroscience and clinical research. The group is part of the Cybervalley initiative (https://cyber-valley.de/) that links groups related to machine learning and industry applications in T?bingen. Talented students will have the opportunity to pursue a PhD in the International Max Planck Research Schools for 'Intelligent Systems' (https://imprs.is.mpg.de/) or for 'Mechanisms of Mental Function and Dysfunction' at the Graduate Training Center for Neuroscience (https://www.neuroschool-tuebingen.de/). The primary responsibilities of the PhD student will be: 1) the development of novel techniques for stimulus generation, including advanced techniques from computer animation and motion tracking and exploiting different technologies and machine learning approaches; 2) development of physiologically-inspired neural network models, including state-of-the-art approaches from computer vision and deep learning. 3) tight collaboration with experimental partners in the project. Requirements: Candidates should have a (research) master degree in one of the following disciplines: (Biomedical) Engineering, Computer Science, (Cognitive) Neuroscience, or Mathematics, or Computer Animation/Visual Effects. In addition to these requirements, candidates should have a theoretical interest in the area of visual neuroscience, and experience with scientific programming (Matlab, Python or any other language), as well as basic programing languages such as C++ or Java. Additional information Section for Computational Sensomotorics, Dept. for Cognitive Neurology, Hertie Institute for Clinical Brain Research & Centre for Integrative Neurocience, University Clinic T?bingen Email: martin.giese at uni-tuebingen.de. Web: http://www.compsens.uni-tuebingen.de/ Tel.: (+49) 7071 2989137 For all applications: Interested candidates should send * A letter of motivation * A detailed CV * Contact info of at least two references -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun Jun 14 18:54:38 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Mon, 15 Jun 2020 00:54:38 +0200 Subject: Connectionists: CFP: Artificial Intelligence track; FedCSIS IEEE conference number: #49059; deadline July 3, 2020; video-based conference; IEEE Publication In-Reply-To: <6d997090-8a15-2ae2-9ee6-9214b80ad7cd@ibspan.waw.pl> References: <6d997090-8a15-2ae2-9ee6-9214b80ad7cd@ibspan.waw.pl> Message-ID: Call for Papers Artificial Intelligence Track 1, within 2020 Federated Conference on Computer Science and Information Systems (FedCSIS'20) https://fedcsis.org/2020/ai Sofia, Bulgaria, 06-09 September 2020 ************************* COVI-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE Our track includes the following technical sessions: AAIA'20 - 15th International Symposium on Advances in Artificial Intelligence and Applications https://fedcsis.org/2020/aaia AAIA'20 TOPICS: -- Decision Support -- Machine Learning -- Fuzzy Sets and Soft Computing -- Rough Sets and Approximate Reasoning -- Data Mining and Knowledge Discovery -- Data Modeling and Feature Engineering -- Data Integration and Information Fusion -- Hybrid and Hierarchical Intelligent Systems -- Neural Networks and Deep Learning -- Bayesian Networks and Bayesian Reasoning -- Case-based Reasoning and Similarity -- Web Mining and Social Networks -- AI in Business Intelligence and Online Analytics -- AI in Robotics and Cyber-Physical Systems -- AI-centered Systems and Large-Scale Applications ASIR?20 - 9th International Workshop on Advances in Semantic Information Retrieval https://fedcsis.org/2020/asir ASIR?20 TOPICS: -- Data analytics. -- Data-driven decision making. -- Domain-specific semantic applications. -- Evaluation methodologies for semantic search and retrieval. -- Knowledge representation and management. -- Models for document representation. -- Natural language semantic processing. -- Ontology for semantic information retrieval. -- Ontology alignment, mapping and merging. -- Query interfaces. -- Searching and ranking. -- Semantic multimedia retrieval. -- Visualization of retrieved results. FVRM'20 - 1st Symposium on Formal Approaches to Vagueness in Relation to Mereology https://fedcsis.org/2020/fvrm FVRM'20 TOPICS: -- Applications of Mereology and Vagueness, -- Granular Mereo-Classifiers, -- Mereo-ontologies: Comparison, -- Critical Evaluation of Spatial Mereology (Mereotopology), -- Rough Mereotopologies, -- Rough Mereology in Engineering (Assembling, Design, etc), -- Descriptive Proximity and Point-free applications Mereology in Robotics, -- Intelligent Navigation/Planning, -- Imaging, Intelligent Image Analysis, -- Mathematical Morphology and Mereology, -- Applications of Non-transitive Parthood and Granularity in Areas such as Taxonomy, -- Medical Diagnosis, and Imaging (histology, etc), -- Mereology and Fuzzy Sets in Physics, -- Regions as Pluralities, -- Related Ontologies, -- Theories of Knowledge, -- Knowledge Consistency, -- Applications of Knowledge Based Methods involving Mereology Related Situation Logics, -- Ontology, -- Domain Science Point-Free Geometry, -- Geometric Logic, -- Qualitative Space, -- Whitehead-Gerla Approach Hybrid Approaches, -- Novel Applications, -- RCC, and Related Topics. LTA'20 - 5th International Workshop on Language Technologies and Applications https://fedcsis.org/2020/lta LTA'20 TOPICS: -- Computational Intelligence methods applied to language & text processing -- text analysis -- language networks -- text classification -- language networks, resources and corpora -- document clustering -- various forms of text recognition -- machine translation -- intelligent text-to-speech (TTS) and speech-to-text (STT) methods -- authorship identification and verification -- author profiling -- plagiarism detection -- sentiment analysis -- NLP applications in education -- knowledge extraction and retrieval from text and natural language structures -- multi-modal and natural language interfaces -- innovative language-oriented applications and tools -- interactions models and applications via Virtual Reality and Augmented Reality -- NLP for text analysis in forensic linguistics and cybersecurity WCO'20 - 13th International Workshop on Computational Optimization https://fedcsis.org/2020/wco WCO'20 TOPICS: -- combinatorial and continuous global optimization -- unconstrained and constrained optimization -- multiobjective and robust optimization -- optimization in dynamic and/or noisy environments -- optimization on graphs -- large-scale optimization, in parallel and distributed computational environments -- meta-heuristics for optimization, nature-inspired approaches and any other derivative-free methods -- exact/heuristic hybrid methods, involving natural computing techniques and other global and local optimization methods -- numerical and heuristic methods for modeling FedCSIS'20 KEYNOTE SPEAKERS (to be extended): -- Christian Blum (Artificial Intelligence Research Institute (IIIA-CSIC, Barcelona, Spain) -- George Boustras (European University, Cyprus) -- Hans-Georg Fill (University of Fribourg, Switzerland) PAPER PUBLICATION: Preprints will be published on USB memory sticks provided to the FedCSIS'20 participants. Papers presented during FedCSIS'20 will be submitted to IEEE for inclusion in the Xplore Digital Library under a nonexclusive copyright, thus further publication of extended papers are possible. Moreover, proceedings published in a volume with ISBN, ISSN and DOI numbers will be posted at FedCSIS WWW site. IMPORTANT DATES: + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 Please forward this announcement to your colleagues and associates who could be interested in it. CHAIRS OF THE AI TRACK Dominik Slezak & Stan Matwin -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From lieven.delathauwer at kuleuven.be Sun Jun 14 16:45:39 2020 From: lieven.delathauwer at kuleuven.be (Lieven De Lathauwer) Date: Sun, 14 Jun 2020 20:45:39 +0000 Subject: Connectionists: Position Tenure-Track Assistant Professor in Computational Machine Learning, KU Leuven, Belgium Message-ID: <042b4ba1ccb24c2891eb55de8954590d@ICTS-S-EXMBX27.luna.kuleuven.be> Position Tenure-Track Assistant Professor in Computational Machine Learning The Faculty of Engineering Science at KU Leuven is seeking to fill the position of a tenure-track assistant professor in "Computational Machine Learning". The successful candidate will join the STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics in the Department of Electrical Engineering (ESAT). ESAT-STADIUS pursues excellence in an explicit and synergistic combination of fundamental and applied research. With core concepts from linear and multi-linear algebra, statistics, optimization, machine learning, and artificial intelligence, its fundamental research is focused on the development of mathematical engineering tools and numerical algorithms. Building upon this foundation, applied research aims to advance the current state of technology across a wide range of relevant application fields, including industrial automation and control, speech and audio signal processing, digital communications, biomedical data analysis and signal processing, bioinformatics and systems biology. The candidate will establish an impactful mathematical engineering research programme focusing on computational and theoretical aspects of machine learning, further strengthening and complementing the current fundamental research activities within ESAT-STADIUS. His/her research programme will also be relevant to the range of application fields currently covered by ESAT-STADIUS, with preference given to applications in big data and e-health, e.g., clinical diagnostics, decision support and personalized medicine. The candidate will provide high-quality teaching in the Bachelor and/or Master programmes of the Faculty of Engineering Science, including mathematical engineering courses. KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. For detailed information, please visit: https://www.kuleuven.be/personeel/jobsite/jobs/55579156?hl=en&lang=en . Application deadline: August 15, 2020. -------------- next part -------------- An HTML attachment was scrubbed... URL: From scik at zhaw.ch Mon Jun 15 03:57:17 2020 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Mon, 15 Jun 2020 07:57:17 +0000 Subject: Connectionists: ANNPR 2020 Prizes Announcement (Deadline 19/06/2020) Message-ID: ANNPR 2020 (https://annpr2020.ch/), the 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, will be held from September 2nd-4th, 2020, at Zurich University of Applied Sciences ZHAW in Winterthur, Switzerland. UPDATES The deadline for paper submission has been extended to *June 19, 2020.* *Confirmed* Keynote by Prof. Juergen Schmidhuber (Swiss AI Lab IDSIA) *NEW* Prizes: We are going to award prizes of CHF 500 each for the best presentation (IAPR best presentation award) & the best accepted paper, as decided by a jury formed of PC and LOC members. In addition to the workshop proceedings (published by Springer LNCS), we will invite the *5 selected best accepted papers (as determined by the PC) to submit extended versions to a special issue of the OA MDPI Journal ?Computers? (ISSN 2073-431X), free of charge.* We confirm that the conference will happen as planned, either in Winterthur or as an online event. We do not intend to postpone or cancel the conference. We will send out another update about the format of the conference, including information about registration, in the next weeks. Updated schedule: 2020-06-19: Submission Deadline 2020-06-YY: Registration opens (t.b.a.) 2020-07-10: Notification of acceptance to authors 2020-07-17: Deadline for submission of camera-ready manuscripts 2020-07-17: Early Registration closes 2020-09-02: Conference starts as planned (in-person or online-only) The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas. ANNPR is the biannual workshop organized by the http://iapr-tc3.diism.unisi.it/ on Neural Networks & Computational Intelligence of the http://www.iapr.org/http://www.iapr.org/ Among the previous editions of the workshop were ANNPR 2018 (Siena, Italy), ANNPR 2016 (Ulm, Germany), ANNPR 2014 (Montreal, Canada), ANNPR 2012 (Trento, Italy), ANNPR 2010 (Cairo, Egypt), ANNPR 2008 (Paris, France) and ANNPR 2006 (Ulm, Germany). Program: The workshop will consist of keynote talks, several sessions for presentations of accepted papers, and a poster session. Keynote speakers are J?rgen Schmidhuber (The Swiss AI Lab IDSIA, Lugano, Switzerland), Naftali Tishby (Hebrew University of Jerusalem, Israel), Bernd Feisleben (University of Marburg, Germany) and Pascal Paysan (Varian Medical Systems). In addition, there will be a dedicated industry session featuring a sponsored keynote, applied research presentations and industry exhibits / booths / demos, which will provide networking opportunities. The social program consists of a welcome reception, an excursion and a conference dinner. Topics: ANNPR 2020 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues: ? Supervised, semi-supervised, unsupervised and reinforcement learning ? Deep learning & deep reinforcement learning ? Feed-forward, recurrent, and convolutional neural networks ? Generative models ? Interpretability & explainability of neural networks ? Robustness & generalization of neural networks ? Meta-learning, Auto-ML Applications to Pattern Recognition: ? Image classification and segmentation ? Object detection ? Document analysis, e.g. handwriting recognition ? Sensor-fusion and multi-modal processing ? Biometrics, including speech and speaker recognition and segmentation ? Data, text, and web mining ? Bioinformatics and medical applications ? Industrial applications, e.g. quality control and predictive maintenance Paper Submission (Deadline: June 19, 2020): Papers are invited to be submitted via EasyChair. There will be a peer review process before acceptance. The page limit is 12 pages. For instructions, see https://annpr2020.ch/cfp/. Accepted papers will be published as a special volume of the Springer Lecture Notes in Artificial Intelligence (LNAI) series. For previous editions, see https://link.springer.com/conference/annpr. Organization: The workshop is organized by the Institute of Applied Information Technology (InIT) at the ZHAW School of Engineering. The program committee is listed at https://annpr2020.ch/organisation/ Chairs: Dr. Frank-Peter Schilling (chair), Prof. Dr. Thilo Stadelmann (co-chair) -- Dr. Frank-Peter Schilling ZHAW School of Engineering Institute of Applied Information Technology (InIT) Obere Kirchgasse 2 / TD O3.07 / Postfach / CH-8401 Winterthur scik at zhaw.ch / +41 58 934-6955 / www.zhaw.ch/en/about-us/person/scik/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Darren.Hurley-Smith at rhul.ac.uk Mon Jun 15 06:16:06 2020 From: Darren.Hurley-Smith at rhul.ac.uk (Hurley-Smith, Darren) Date: Mon, 15 Jun 2020 10:16:06 +0000 Subject: Connectionists: [CfP] Security and Trust Management 2020 Call for Papers In-Reply-To: References: Message-ID: With one week left until the submission deadline, we would like to bring your attention to the following call for papers, as it is our belief that you share our professional interest in matters of Security and Trust Management. COVID-19 UPDATE After assessment of the COVID-19 Pandemic, the ESORICS 2020 Organizing Committee has made the decision to move the conference and all associated workshops to an online format. Arrangements for the virtual format are being made and we will post updates as they are announced. This new format will not affect our proceedings, which will be published as Springer LNCS proceedings. =========================================================================== STM 2020 The 16th International Workshop on Security and Trust Management Co-located with: ESORICS 2020 September 17-18, 2020, University of Surrey, Guildford, UK ***Due to COVID-19 this is now a Virtual Event*** https://www.iit.cnr.it/stm2020/ =========================================================================== SCOPE STM (Security and Trust Management) is a working group of ERCIM (European Research Consortium in Informatics and Mathematics). STM 2020 is the sixteenth workshop in this series and will be held at the University of Surrey, Guildford, UK, in conjunction with the 25th European Symposium On Research in Computer Security (ESORICS 2020). The workshop seeks submissions from academia, industry, and government presenting novel research on all theoretical and practical aspects of security and trust in ICTs. TOPICS OF INTEREST * Access control * Anonymity * Applied cryptography * Authentication * Data and application security * Data protection * Data/system integrity * Digital rights management * Economics of security and privacy * Formal methods for security and trust * Identity management * Legal and ethical issues * Mobile security * Networked systems security * Operating systems security * Privacy * Security and trust metrics * Security and trust policies * Security and trust management architectures * Security and trust for big data * Security and trust in cloud environments * Security and trust in content delivery networks * Security and trust in crowdsourcing * Security and trust in social networks * Security and trust in the Internet of Things * Security and trust in pervasive computing * Security and trust in services * Security and trust in edge computing * Security and trust in embedded systems and associated applications * Security and trust in blockchain protocols and applications * Social implications of security and trust IMPORTANT DATES All deadlines are at 11.59PM / 23:59 American Samoa Time Submission: June 22, 2020 Notification: August 3, 2020 Camera-ready: August 10, 2020 INSTRUCTIONS FOR PAPER SUBMISSION All submissions should be appropriately anonymized (i.e., papers should not contain author names or affiliations, or obvious citations). Submissions should be at most 16 pages in the LNCS format, including the bibliography and well-marked appendices. All submissions must be written in English, and only PDF files will be accepted (a Latex source file will be required for the final version of accepted papers). The final version of an accepted paper must be in the format required for publication in the LNCS series. Authors should consult Springer?s authors? guidelines and use their proceedings templates. Springer encourages authors to include their ORCIDs https://goo.gl/hbsa4D in their papers. Submissions not meeting these guidelines risk rejection without consideration of their merits. Submissions are to be made to the submission web site at: https://easychair.org/conferences/?conf=stm2020 Papers must be received by the deadline of June 22 (11:59 p.m. American Samoa time). At least one author of accepted papers must guarantee that they will present their paper at the workshop. As in previous years, the proceedings are planned to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. A paper submitted to STM 2020 cannot be under review for any other conference or journal during the time it is being considered for STM 2020. Furthermore, after you submit to STM 2020, you must await our response before submitting elsewhere. If you submit your paper to another conference or journal either before or after submission of the paper to STM 2020, we will reject your paper without review and will also notify the other conference/journal. This restriction applies to identical as well as to substantially similar papers. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. PROGRAM CHAIRS Kostantinos Markantonakis, Information Security Dept., Royal Holloway, UK Marinella Petrocchi, Institute for Informatics and Telematics, CNR, Pisa, Italy WEB CHAIR Michela Fazzolari, Institute for Informatics and Telematics, CNR, Pisa, Italy PROGRAM COMMITTEE Sara Abugazalah, King Khalid University, Saudi Arabia Raja Naeem Akram, Information Security Dept., Royal Holloway, UK Cristina Alcaraz, University of Malaga, Spain Stefano Calzavara, Universit? Ca? Foscari Venezia, Italy Madeline Cheah, Horiba Mira, UK Mauro Conti, University of Padua, Italy Gabriele Costa, IMT School for Advanced Studies, Lucca, Italy Haitham Cruickshank, University of Surrey, UK Jorge Cuellar, Siemens AG, Germany Sabrina De Capitani di Vimercati, University of Milano, Italy Rocco De Nicola, IMT School for Advanced Studies, Lucca, Italy Roberto Di Pietro, Hamad Bin Khalifa University, Doha, Qatar Michela Fazzolari, IIT-CNR, Italy Sara Foresti, Universit? degli Studi di Milano, Italy Lettiero Galletta, IMT School for Advanced Studies, Lucca, Italy Olga Gadyatskaya, LIACS, Leiden University, The Netherlands Gerhard Hancke, City University of Hong Kong, Hong Kong Thibaut Heckmann, ISG Smart Card and IoT Security Centre, London, UK Julio Hernandez, University of Kent, UK Darren Hurley-Smith, Information Security Dept., Royal Holloway, UK Christos Kaloniatis, University of the Aegean, Greece Ghassan Karame, NEC Laboratories Europe, Germany Nikos Komninos, City University of London, UK Giovanni Livraga, Universit? degli Studi di Milano, Italy Eleonora Losiouk, University of Padua, Italy Emmanuel Magkos, Ionian University, Greece Luigi Mancini, Universit? di Roma La Sapienza, Roma, Italy Fabio Martinelli, IIT-CNR, Italy Ilaria Matteucci, IIT-CNR, Italy Sjouke Mauw, University of Luxembourg, Luxembourg Keith Mayes, Information Security Group, Royal Holloway, UK Nikolaos Petroulakis, Foundation for Research and Technology-Hellas (FORTH), Greece Nikos Pitropakis, Edinburgh Napier University, UK Joachim Posegga, University of Passau, Germany Konstantinos Rantos, Eastern Macedonia and Thrace Institute of Technology, Greece Michael Rusinowitch, LORIA ? INRIA Nancy, France Pierangela Samarati, University of Milano, Italy Damien Sauveron,University of Limoges, France Daniele Sgandurra, Royal Holloway, UK Angelo Spognardi, Universit? di Roma La Sapienza, Roma, Italy Mark Strembeck, Vienna University of Economics and Business, Vienna Tom Van Goethem, KU Leuven, Belgium Mathy Vanhoef, NYU Abu Dhabi, United Arab Emirates Chan Yeob Yeun, Khalifa University, Abu Dhabi, United Arab Emirates Chia-Mu Yu, National Chung Hsing University, Taiwan We look forwards to receiving your submissions. Kind regards, Darren Hurley-Smith, Ph.D., Publicity Chair Lecturer in Information Security Information Security group Royal Holloway University of London darren.hurley-smith at rhul.ac.uk This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From moritz.grosse-wentrup at univie.ac.at Mon Jun 15 06:17:56 2020 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Mon, 15 Jun 2020 12:17:56 +0200 Subject: Connectionists: PhD position in machine learning and computational neuroscience at the University of Vienna Message-ID: <57f5b5a4-aacf-308f-9451-aa23ebf035e8@univie.ac.at> Dear all, We have an open doctoral position at the intersection of machine learning and computational neuroscience as part of the Zebrafish Neuroscience Interdisciplinary Training Hub (https://zenith-etn.com/). The goal of the Ph.D. project is to develop multi-level causal models that relate neuronal activity patterns (as measured by Calcium imaging) in Zebrafish larvae to behavior. To get a better idea of how we approach this problem, please take a look at https://www.youtube.com/watch?v=P-U50EO77cU The position is based in the Research Group Neuroinformatics at the Faculty of Computer Science of the University of Vienna (https://ni.cs.univie.ac.at/). All work will be done in close collaboration with other European groups in the ZENITH consortium, e.g., in London and Paris. Depending on how the ongoing pandemic develops, extended stays at collaborating research labs are intended. Salary is according to the Collective Bargaining Agreement for university staff (job group B1 75%, https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-scheme/). We welcome applications from anybody with a Master's degree and an interest in machine learning and computational neuroscience. We particularly welcome applications by women, trans- 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. We will start screening applications on July 1st, though the position will remain open until filled. We would like to fill the post as soon as possible, but a later starting date can be negotiated. Your application should include a brief cover letter, a CV, 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. If you have any questions before applying, please contact me at moritz.grosse-wentrup at univie.ac.at. Best, Moritz -- 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 a.passarella at iit.cnr.it Mon Jun 15 06:00:01 2020 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 15 Jun 2020 12:00:01 +0200 (CEST) Subject: Connectionists: PhD positions available at IIT-CNR, Pisa, Italy Message-ID: <20200615100001.8D8A41630068@magneto.iit.cnr.it> PhD positions are open @ IIT-CNR, Pisa, Italy, on the following topics #1: Human-centric Artificial Intelligence (H2020 HumanE-AI-Net & SoBigData++) #2: Analysis of large-scale Online Social Networks (H2020 HumanE-AI-Net & SoBigData++) #3: Serverless computing in the device-to-cloud continuum (H2020 MARVEL) ** Hosting Universities: IIT-CNR is part of several PhD programs including - the PhD program in Data Science (https://datasciencephd.eu/) hosted by the Scuola Normale Superiore (https://www.sns.it/en) - the PhD programs in Computer Engineering (https://phd.dii.unipi.it/en/) and Computer Science (https://dottorato.di.unipi.it/), hosted by the University of Pisa - the PhD program in Smart Computing, jointly organised by the Universities of Florence, Pisa, Siena, CNR, FBK https://smartcomputing.unifi.it/ Selected applicants shall apply to the official call of the specific PhD PhD positions ------------- ** Position type: doctoral fellowship, 3 years ** Starting date: fall 2020 ** Location: IIT-CNR, Pisa, Italy - http://www.iit.cnr.it/ ** Supervisors: Marco Conti, Andrea Passarella https://scholar.google.com/citations?user=KniFTD0AAAAJ https://scholar.google.com/citations?user=sesKnygAAAAJ ** Annual scholarship: EUR 15000 - 17000 (depending on the program) ** Application deadline: continuous evaluation, up until 1st July ********************************************************************************** * * Interviews with selected candidates will be organised between now and * 1st of July based on received applications. The posts will be filled * as soon as suitable candidates are identified. * Interested candidates are thus strongly encouraged to send their application * as soon as possible. * ********************************************************************************** For all positions, it will be possible (and advised) to organise one visiting student period abroad (typically, 6 months) during the PhD. Position #1: Human-centric Artificial Intelligence ----------------------------------------------------------- Job description --------------- AI systems are increasingly moving from a centralised, black-box approach to more decentralised approaches where "smaller" AI systems operate closer to the final users, possibly also on their own devices, and interact with each other. In addition, an exciting challenge is how to make AI systems automatically adapt to seamlessly interact with the users, forming a hybrid human-artificial ecosystem where both actors (the human and the AI system) work together in a collaborative way. Both challenges fall under the umbrella of "human-centric AI", as the emphasis is on designing AI systems that inherently embed models of the humans individual and collective behaviour, and interact directly with human users. For example, the PhD thesis could be on decentralised forms of AI, where multiple "local" AI components interact with each other, combine local knowledge to come up with collective AI models. Human behaviour models will be used to drive the design and operations of both local and collective AI systems. Successful candidates will be supervised by Dr. Marco Conti and Dr. Andrea Passarella. The PhD activities will involve a mix of modelling, systems/algorithms design, prototype development, performance evaluation via experiments, analysis, simulation. Candidate profile ----------------- Candidates should have or about to obtain a MSc degree (at the latest by 31st October 2020) in Computer Science, Computer Engineering, or closely related disciplines, and a proven track record of excellent University grades. Preferably, the topic of the MSc thesis should be in one of the relevant research areas (Artificial Intelligence, BigData analytics, distributed systems). Good written and spoken communication skills in English are required. ================================================= Position #2: Serverless computing in the device-to-cloud continuum ------------------------------------------------------------------------- Job description --------------- Serverless computing is emerging as a dominant model in the cloud market. It allows to execute code on virtualised infrastructure with the promise of automated infinite scalability, coupled with fine-granularity pay-per-use billing. This has led to the growing popularity of the Function-as-a-Service paradigm, where the developers write microservices as independent "functions", which are then packaged together to compose the overall application. These functions are stateless, which limits the applicability of FaaS and encourages adoption of (possibly inefficient) work-around solutions to execute stateful services. How to deploy and optimise and run-time stateful serverless applications is an open research area. Furthermore, the advantages of serverless are so far confined to data centres, which have homogeneous compute resources highly inter-connected. However, it is generally agreed that the balance of computation is shifting towards the edge of the network to achieve lower latencies and higher throughput, hence enable future applications (virtual/augmented reality, automated guided vehicles, haptic feedback interfaces, ...). We can even envisage that end user devices, which are thus beyond the edge of the network, will host the execution of some microservices to fully exploit the opportunities offered by this paradigm. The PhD activities will be focused on the design and evaluation of protocols and algorithms to implement efficiently serverless, both stateless and stateful, in the continuum from end user devices to the cloud. Successful candidates will be supervised by Dr. Marco Conti and Dr. Andrea Passarella. The PhD will work on a mix of these topics: (i) modelling of distributed computing systems, taking into account the specific characteristics of serverless systems with heterogeneous infrastructures (device, edge, cloud) (ii) design of decentralised algorithms for the efficient orchestration of lightweight OS virtualisations (e.g., containers) hosting the application code and, if needed, state (iii) performance evaluation of the proposed solutions, compared to state-of-the-art alternatives both in the market and in the scientific literature; this may involve the development of a prototype and its integration with existing serverless frameworks and simulation/emulation tools Candidate profile ----------------- Candidates should have or about to obtain a MSc degree (at the latest by 31st October 2020) in Computer Science, Computer Engineering, or closely related disciplines, and a proven track record of excellent University grades. Preferably, the topic of the MSc/PhD thesis should be in one of the relevant research areas (cloud or edge technologies, distributed or opportunistic computing, mobile networking and computing). Good written and spoken communication skills in English are required Position #3: Analysis of large-scale Online Social Networks ----------------------------------------------------------- Job description --------------- Online Social Networks are one of the main sources of Big Data to analyse the human social behaviour, and design smart human-centric services that exploit this knowledge. BigData collection and analysis allows to use OSN as a "big data microscope" to characterise human behaviour and design novel OSN systems accordingly. The activities of the PhD will be focused on BigData analytics applied to data crawled from Online Social Networks. Specifically, the subject of the PhD thesis will be on (i) collecting large-scale datasets from popular OSNs (e.g., Twitter), and analyse the social network structures and the patterns of interactions between users through Big Data analytics techniques, with applications to the analysis of complex socio-technical phenomena such as migrations, information and fake news diffusion, opinion polarisation, social and mental well-being (ii) designing new data-centric services which exploit knowledge about the extracted social network structures. Successful candidates will be supervised by Dr. Marco Conti and Dr. Andrea Passarella. The PhD activities will involve interdisciplinary approaches focusing on a mix of (i) efficient data crawling and collection techniques, (ii) large- scale data analysis, (iii) knowledge extraction, (iv) design of data-centric services in OSN platforms. Candidate profile ----------------- Candidates should have or about to obtain a MSc degree (at the latest by 31st October 2020) in Computer Science, Computer Engineering, or closely related disciplines, and a proven track record of excellent University grades. Preferably, the topic of the MSc thesis should be in one of the relevant research areas (BigData analytics, OSN analysis/programming, Complex network analysis). Good written and spoken communication skills in English are required. ================================================= Research group -------------- The PhD students will work in the Ubiquitous Internet group of IIT-CNR in Pisa, Italy (http://cnd.iit.cnr.it). UI activities range over multiple topics related to the design and analysis of Future Internet networking and computing systems, including decentralised AI, data-centric networks, edge computing, online/mobile social networks, self-organising networks. The UI group has a strong track record of successful activities in European projects, from FP6 to H2020, which is reflected in the many international collaborations in EU and USA activated by the researchers of the group. All three positions are open on recently started or about to start H2020 projects (specifically, SoBigData++, HumanE-AI-Net and MARVEL). Application procedure --------------------- Applications should consist of (all documents in English): - a complete CV, including exams taken during the University degrees with grades, including, if already completed, the MSc final degree), and a link to the MSc. thesis - a 1-page research statement showing motivation and understanding of the topic of the position - at least one contact person (2 even better) who could act as reference(s) The applications and any request of information should be sent to: a.passarella at iit.cnr.it, with subject, respectively: "PhD application: Human-centric Artificial Intelligence" "PhD application: Serverless computing in the device-to-cloud continuum" "PhD application: Analysis of large-scale Online Social Networks" Contact point ------------- For any additional information or clarification, please send a message to a.passarella at iit.cnr.it From davidjrohde at gmail.com Mon Jun 15 07:20:41 2020 From: davidjrohde at gmail.com (david rohde) Date: Mon, 15 Jun 2020 13:20:41 +0200 Subject: Connectionists: Bayesian Machine Learning at Scale Webinar Message-ID: Laplace's Demon: Bayesian Machine Learning at Scale has a few announcements. Firstly registration is now open for Jake Hofman 17 June talk: "How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results". Jake is a Senior Principal Researcher at Microsoft Research, New York. We very much look forward to his insights on visualizing uncertainty. It is at 15.00 UTC, to see it in your local time zone please go to the registration page. The talk is on this Wednesday. Please register at: https://ailab.criteo.com/laplaces-demon-bayesian-machine-learning-at-scale/ Secondly Christian Robert's talk on approximate Bayesian computation is now online. Christian not only presents state of results showing ABC using Gibbs like steps, but also takes time to give the basis of ABC methods and takes many questions. https://www.youtube.com/watch?v=Aq4juvSsz9Y Finally we have a new website, giving details of upcoming talks including A/Prof Aki Vehatari's 24 June on "Use of reference models in variable selection". https://ailab.criteo.com/laplaces-demon-bayesian-machine-learning-at-scale/ Also upcoming: 17 Jun, Jake Hofman, "How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results" 24 Jun, Aki Vehtari, "Use of reference models in variable selection" 1 Jul John Ormerod 8 Jul Victor Elvira 29 Jul Cheng Zhang 26 Aug Andrew Gelman Looking forward to seeing you soon, The Laplace's Demon Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Mon Jun 15 22:07:34 2020 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Mon, 15 Jun 2020 22:07:34 -0400 Subject: Connectionists: CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 16TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST In-Reply-To: <03bf01d64382$1708caf0$451a60d0$@neuralcorrelate.com> References: <03bf01d64382$1708caf0$451a60d0$@neuralcorrelate.com> Message-ID: <040801d64382$ea045410$be0cfc30$@neuralcorrelate.com> **** CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 16TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST**** http://illusionoftheyear.com We are happy to announce the 16th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! We thank the Museum of Mind, Gold Sponsor of the 2020 Best Illusion of the Year Contest, for its generous support. Contestants are invited to submit 1-minute YouTube or mp4 videos featuring novel illusions (unpublished, or published no earlier than 2019) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2020 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until August 7th, 2020. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience 2014 Society for Neuroscience's Science Educator Award 2014 Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Tue Jun 16 03:54:19 2020 From: michael.felsberg at liu.se (Michael Felsberg) Date: Tue, 16 Jun 2020 07:54:19 +0000 Subject: Connectionists: Reminder: Research Fellow/Assistant Professor in Machine Learning (tenure track) - closing date June 23 (one week ahead) In-Reply-To: References: Message-ID: <5150f7a7a279f3083a35221696e80c87d8bc8988.camel@liu.se> The Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden?s largest individual research program ever; a major national initiative for strategically motivated basic research, education and faculty recruitment (see https://wasp-sweden.org). WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. The WASP initiative includes among many instruments an international recruitment program and the present announcement aims to strengthen Link?ping University specifically in the field of machine learning within the AI focus-area of WASP. The goal is to complement the existing excellence in, among others, the area of Computer Vision (Michael Felsberg). For this purpose, we seek competence in Machine Learning with focus particularly on methods, algorithms, and mathematical analysis relevant to Computer Vision. The developed methods and mathematical tools will aim at a better understanding of the theories and processes within statistical and deep learning-based systems. Possible research topics should match one or more of WASP focus areas 1) Representation learning and grounding, 2) Sequential decision- making and reinforcement learning, 3) Learning from small data sets, GANs and incremental learning, and 4) Multi-task and transfer learning. Examples for such topics are, but are not limited to, handling of uncertain input data, propagation of confidences, detection of anomalies, few-shot and model-agnostic learning, robustness to polluted training data, enforcement of hard constraints, explainability of complex networks, and explorative data acquisition. The research fellow will also explore application areas of this research, e.g., within forestry, agriculture technology, and synthetic environments for training autonomous driving. A successful candidate addressing the area above will be affiliated with the Computer Vision Laboratory (CVL) at the Department of Electrical Engineering. Unlike other international universities, thanks to the teachers' exemption (L?rarundantaget - i.e. the exemption from employers? rights to their employees? patentable inventions), researchers/academic staff at Swedish universities and colleges of higher education are given the rights to their own research results. LiU has support for researchers as inventors, with a unit at the University that helps the teacher to patent ideas, even fund the patent application, while the patent is still owned by the researcher. LiU offers an excellent research environment for you, while you may choose living in urban or rural environments with commuting distance of 15 min. Apply before June 23! https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=13806&rmlang=UK Best regards Michael Felsberg -- Professor Michael Felsberg Tel: +46 13 282460 Computer Vision Laboratory Mobile:+46 702 202460 Link?ping University email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden http://users.isy.liu.se/cvl/mfe/ -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/x-pkcs7-signature Size: 4823 bytes Desc: not available URL: From hans.ekkehard.plesser at nmbu.no Tue Jun 16 04:45:18 2020 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 16 Jun 2020 08:45:18 +0000 Subject: Connectionists: =?utf-8?q?NEST_Conference_2020_Program_=E2=80=94_?= =?utf-8?q?Registration_Deadline_Monday_22_June_2020?= Message-ID: Dear Colleagues! The virtual NEST Conference 2020 on 29/30 June is less than two weeks away and we are happy to invite you to an exciting program of presentations and workshops, which you will find below. The conference will be single track to facilitate interactions and include virtual coffee breakouts to mix and mingle. Please don't forget to register by MONDAY, 22 June 2020 at https://www.nest-simulator.org/conference. Please note that we now also accept PayPal as a payment method. See you at the NEST Conference 2020! Hans Ekkehard Plesser & Susanne Kunkel Monday 29 June, 2020 (all times are CEST) * 09:00 ? Welcome & Introduction (Susanne Kunkel) * 09:15 ? NEST user-level documentation: Why, how and what?s next? (Sara Konradi) * 09:35 ? Exploring new Fenix resources using NEST (Alexander Patronis) * 09:55 ? Minibreak * 10:00 ? Toward a possible integration of NeuronGPU in NEST (Bruno Golosio) * 10:45 ? Coffee breakout * 11:15 ? Workshop: NEST multiscale co-simulation (Wouter Klijn) * 12:15 ? Lunch break * 13:15 ? Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep-mediated noise-resilience (Chiara De Luca) * 14:00 ? Minibreak * 14:05 ? An Integrated Model of Visual Perception and Reinforcement(Petia Koprinkova-Hristova) * 14:25 ? Partial Information Decomposition Contextual Neurons in NEST(Sepehr Mahmoudian) * 14:45 ? Coffee breakout * 15:15 ? deNEST: a declarative frontend for specifying networks and running simulations in NEST (Tom Bugnon) * 15:35 ? Primate perisylvian cortex in NEST: from reflex to small world (Harry Howard) * 15:55 ? Minibreak * 16:00 ? Modeling robust and efficient coding in the mouse primary visual cortex using computational perturbations (Stefan Mihalas) * 16:45 ? Wrap-up (Hans Ekkehard Plesser) * 17:00 ? Mingle Tuesday 30 June, 2020 (all times are CEST) * 09:00 ? A spiking neural network builder for systematic data-to-model workflow(Carlos E Gutierrez) * 09:20 ? Insite: A Generalized Pipeline for In-transit Visualization and Analysis(Simon Oehrl) * 09:40 ? Minibreak * 09:45 ? NEST Component for Modeling Spiking Neuron-Astrocyte Networks(Jugoslava A?imovi?) * 10:30 ? Coffee breakout * 11:00 ? Atlas-mapped reconstruction and simulation of the cerebellar Lingula in NEST (Alice Geminiani) * 11:20 ? Cerebro-cerebellar loops for sensorimotor adaptation (Alberto Antonietti) * 11:40 ? Minibreak * 11:45 ? Modeling plasticity inducing stimulation protocols in recurrent neuronal networks with homeostatic structural plasticity (Swathi Anil) * 12:30 ? Lunch break * 13:30 ? Dendrites in NEST (Willem Wybo) * 13:50 ? Just-in-time compilation for NESTML models in NEST Simulator (Charl Linssen) * 14:10 ? NEST Desktop: A web-based GUI for the NEST Simulator (Sebastian Spreizer) * 14:30 ? Minibreak * 14:40 ? Evolving interpretable plasticity rules using NEST (Jakob Jordan) * 15:25 ? Coffee breakout * 15:45 ? Workshop: deNEST: a declarative frontend for specifying networks and running simulations in NEST (Tom Bugnon & William Mayner) * 16:45 ? Closing Remarks -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section 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 jean.martinet at univ-cotedazur.fr Tue Jun 16 05:02:42 2020 From: jean.martinet at univ-cotedazur.fr (Jean Martinet) Date: Tue, 16 Jun 2020 11:02:42 +0200 Subject: Connectionists: =?utf-8?q?=5BJobs=5D_PhD_candidate_in_Neuromorphi?= =?utf-8?q?c_Vision_at_Universit=C3=A9_C=C3=B4te_d=27Azur_in_France?= Message-ID: <5B22CEA1-0154-4F52-9BB1-E5B941F8067E@univ-cotedazur.fr> [Extended application deadline due to a notification delay] Dear colleagues, We are seeking a PhD candidate in Neuromorphic Vision starting between now and October at I3S lab, Sophia Antipolis, Universit? C?te d?Azur in France. The applicant should hold a Master in Computer Science or Signal and Image Processing with background in Statistics and Applied Mathematics; skills in Python, C/C++; fluency in written/oral scientific english. Application deadline on June 14, 2020 June 28, 2020 (please send a CV, cover letter, all available Master grades and ranking, Master thesis if available, any recommendation letter and supporting document). Video interview will take place from June 15 June 29. More information: https://i3s.unice.fr/jmartinet/sites/default/files/u47/phd_description.pdf and https://www.chistera.eu/projects/aprovis3d Summary: This PhD proposal takes part in the European CHIST-ERA APROVIS3D project (April 2020-March 2023) on the topic of bio-inspired machine learning for stereo event-based vision, using mixed analog-digital hardware. The objective of the work is to design and implement Spiking-Neural-Network-based machine learning methods to extract vision features and infer useful information about the visual scene from stereo event-based cameras. In particular, the work will focus on two use cases: scene segmentation and depth estimation, and a demonstrator is expected, that will be benchmarked at software level for comparison with standard frame-based approaches in terms of precision and energy consumption, before its hardware integration. The work will be carried out in collaboration with a leading neuroscience institute in Marseille, the Institute of Neuroscience of la Timone, that will be part of the supervision team. 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 mgalle at gmail.com Tue Jun 16 11:06:02 2020 From: mgalle at gmail.com (=?UTF-8?Q?Matthias_Gall=C3=A9?=) Date: Tue, 16 Jun 2020 17:06:02 +0200 Subject: Connectionists: 2d Call For Participation : Advanced Language Processing School (ALPS) - January, 17-22 2021 Message-ID: SECOND CALL FOR PARTICIPATION Advanced Language Processing School (ALPS) January, 17-22 2021 Autrans (Grenoble area) - France We are opening the registration for the first Advanced Language Processing School (ALPS) in Grenoble, co-organized by University Grenoble Alpes and Naver Labs Europe. *Target Audience* This is a winter school covering advanced topics in NLP, and we are primarily targeting doctoral students and advanced (research) masters. A few slots will also be reserved for academics and persons working in research-heavy positions in industry. *Characteristics* This winter school aims to provide talks of renowned NLP researchers, as well as creating an ideal environment to foster collaborations The speakers are: - Isabelle Augenstein: _Interpretability and Explainability for NLP_ - Tim Baldwin: _Natural Language Processing for User Generated Content_ - Kyunghyun Cho: _Neural Sequence Modeling: Learning and Inference_ - Yejin Choi: _Neural Commonsense Knowledge and Reasoning_ - Grzegorz Chrupa?a: _Visually Grounded Models of Spoken Language and their Analysis_ - Claire Gardent: _Neural approaches to Natural Language Generation_ - Sanjeev Khudanpur: _Recent Advances in Automatic Speech Recognition (TBC)_ In addition to the talks, an important aspect of this school is the interaction between participants. The registration fee covers full board in a residence close to a ski resort, and some of the afternoons there will be organised social activities. In view of the current public health situation, we are preparing to hold the event virtually in case it will not be possible to do so physically in January. Registration fees will be adapted in that case. *Application* To apply to this winter school, please follow the instructions at http:// alps.imag.fr/index.php/application/ . *The deadline for applying is July 31st*, and we will notify acceptance in September *Contact* Website: http://alps.imag.fr/ Contact: alps2021 at univ-grenoble-alpes.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.schaub at rwth-aachen.de Tue Jun 16 11:30:57 2020 From: michael.schaub at rwth-aachen.de (Michael Schaub) Date: Tue, 16 Jun 2020 17:30:57 +0200 Subject: Connectionists: =?utf-8?q?Virtual_Mini-symposium=3A_=E2=80=9CLear?= =?utf-8?q?ning_from_data_on_networks=E2=80=9D_--_June_30=2C_10=3A00-12=3A?= =?utf-8?q?30_Eastern_time?= Message-ID: <76348aab-2566-1711-dc23-3877681030b3@rwth-aachen.de> */Virtual Mini-symposium:/**//**/?Learning/**/from data on networks? ?/* */(June 30, 10:00-12:30 Eastern time)/* As part of the SIAM conference on Mathematics of Data Science we are organizing a virtual mini-symposium on learning from data on networks. The schedule and the program with speakers and abstracts can be found here: https://ftudisco.github.io/MDS2020/ Attendance is free. You can join the eventonline by registering viathe following link: https://riceuniversity.zoom.us/meeting/register/tJArceCqpjsuHtC9aQc1B8DK4yMmSDuo_e44 We hope you will be able to join us for this event! Michael Schaub Santiago Segarra Francesco Tudisco -------------- next part -------------- An HTML attachment was scrubbed... URL: From wduch at is.umk.pl Tue Jun 16 13:18:20 2020 From: wduch at is.umk.pl (Wlodzislaw Duch) Date: Tue, 16 Jun 2020 19:18:20 +0200 Subject: Connectionists: Neuroinformatics at Nicolaus Copernicus University, 4 postdock positions + assistant prof. In-Reply-To: References: Message-ID: <3b0b382c-5705-11a3-9dc4-312306487039@umk.pl> Our research Excellence Center ?Dynamics, Mathematical Analysis and Artificial Intelligence? at the Nicolaus Copernicus University in Toru?, Poland, has 4 open postdock positions for young researchers (not more than 5 years after PhD), who during the last 3 years did not stay in Poland for a period longer than 6 months, and whose research profile is compatible with the profile of our Center. Candidates representing at least one of the following areas are encouraged to apply: ???????? neuroinformatics - neuroimaging and/or network neuroscience and/or AI/ML in application to neuroscience, ???????? dynamics and/or differential equations and/or analytic/algebraic number theory, ???????? concurrency theory and/or data mining, ???????? evolution of open quantum systems and/or quantum entanglement. Please see the description of the groups in our Center here: https://damsi.umk.pl/en/ Additional position for research assistant professor is announced here: https://damsi.umk.pl/en/?id=18424 Salary: 15 000 PLN (gross) for the first month and 10 000 PLN (gross) for each following month (highly competitive, comparing to the cost of living in Poland).? The starting date is 1.10.2020 but can be reconsidered due to the COVID-19 pandemic. All positions are initially up to one year but we have funding for additional 5 years. Documents including: CV, list of publications, recommendation letter(s), and motivation letter should be submitted to damsi at umk.pl? by 15.07.2020. Prof. W?odzis?aw Duch Fellow, International Neural Network Society Past President, European Neural Network Society Head, Neurocognitive Laboratory, CMIT NCU, Poland Google: Wlodzislaw Duch From cgf at isep.ipp.pt Tue Jun 16 13:02:27 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Tue, 16 Jun 2020 18:02:27 +0100 Subject: Connectionists: [Extended Deadline] CFP: IoT Streams for Data-Driven Predictive Maintenance Message-ID: *2nd ECML/PKDD 2020 Workshop on IoT Streams for Data Driven Predictive Maintenance* https://abifet.wixsite.com/iotstream2020 ECML-PKDD 2020, September 14 ?18, 2020, Ghent, Belgium https://ecmlpkdd2020.net *Deadline extended: * Paper submission deadline: 28th of June 2020 Paper acceptance notification: 20th of July 2020 Paper camera-ready deadline: 27th of July 2020 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 freewill at brain.chapman.edu Tue Jun 16 17:28:08 2020 From: freewill at brain.chapman.edu (Free Will) Date: Tue, 16 Jun 2020 21:28:08 +0000 Subject: Connectionists: Upcoming volition-related talks by Bill Newsome and Chandra Sripada Message-ID: Details about the talks: https://neurophil-freewill.org/events/ 1. Detecting Covert Cognitive States from Neural Population Recordings in Prefrontal Cortex William Newsome, Ph.D. July 1st 2020, 10:30am ~ 12pm (PDT) REGISTER: https://chapman.zoom.us/webinar/register/WN_2lWsCwZiRFSwUCTYhhRZQg 2. The Atoms of Agency: Computational Neuroscience, Buddhist Philosophy of Mind, and Achieving Moral Responsibility Chandra Sripada, Ph.D. July 3rd 2020, 10:30am ~ 12pm (PDT) REGISTER: https://chapman.zoom.us/webinar/register/WN_bjXNCBWvTwip8xICpL7UwQ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Jun 16 23:08:12 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 17 Jun 2020 03:08:12 +0000 Subject: Connectionists: Summer School on AI & Smart Health (July 20-21, 2020) Message-ID: We apologize if you receive multiple copies. As part of the NSF Track-2 project on "Multi-Scale Integrative Approach to Digital Health: Collaborative Research and Education in Smart Health in West Virginia and Arkansas" (http://community.wvu.edu/~daadjeroh/projects/cresh/ ) we would like to announce a Summer School on Artificial Intelligence & Smart Health. The summer school will be from July 20 - 21, 2020. This will be held remotely as a virtual summer school. Please visit the website: http://community.wvu.edu/~daadjeroh/projects/cresh/activity/summersch2020/ for more information on the summer school, and to register. Please help us to forward this to students, colleagues, and others that may be interested. Regards, Don Adjeroh, PhD Professor and Associate Chair Graduate Coordinator of Computer Science West Virginia University Morgantown, WV 26506 http://community.wvu.edu/~daadjeroh/ Tel: 304-293-9681 Fax: 304-293-8602 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue Jun 16 13:42:30 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Tue, 16 Jun 2020 18:42:30 +0100 Subject: Connectionists: CFP: IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD2020) - Deadline Extended (June 28, 2020) Message-ID: SBAC-PAD 2020 32nd IEEE International Symposium on Computer Architecture and High Performance Computing September 8-11, 2020 Porto, Portugal sbac2020 at dcc.fc.up.pt https://sbac2020.dcc.fc.up.pt/ http://www2.sbc.org.br/sbac/ (Historical acceptance rate). ---------------------------------------------------------------------------- ** NEW ** ---------------------------------------------------------------------------- SBAC-PAD2020 deadline postponed to June 28, 2020 ---------------------------------------------------------------------------- Following the recommendations/guidelines from the World Health Organization (WHO), regarding the Coronavirus disease (COVID-19) outbreak, SBAC-PAD2020 will be converted to an online event. However, the outbreak's impact led to several requests for postponing significantly the deadlines. Following those requests, the SBAC-PAD2020's organization decided to postpone the deadline for the abstract/paper submission to June 28, 2020. Stay safe! ---------------------------------------------------------------------------- Aims and Scope ---------------------------------------------------------------------------- SBAC-PAD is an international symposium, started in 1987, which has continuously presented an overview of new developments, applications, and trends in parallel and distributed computing technologies. SBAC-PAD is open for faculty members, researchers, specialists and graduate students around the world. In this edition, the symposium will be held at the University of Porto, Porto, Portugal. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. More information about the conference can be found at https://sbac2020.dcc.fc.up.pt/ ---------------------------------------------------------------------------- Paper Submission ---------------------------------------------------------------------------- Authors are invited to submit original manuscripts on a wide range of high-performance computing areas, including computer architecture, systems software, languages and compilers, algorithms and applications. Topics of interest include (but are not limited to): -Application-specific systems -Architecture and Programming Support for Emerging Domains (Big Data, Deep Learning) -Benchmarking, performance measurements, and analysis -Cloud, Grid, cluster, and peer-to-peer systems -Embedded and pervasive systems -GPUs, FPGAs and other accelerator architectures -Languages, compilers, and tools for parallel and distributed programming -Modeling and simulation methodology -Operating systems and virtualization -Parallel and distributed systems, algorithms, and applications -Power and energy-efficient systems -Processor, cache, memory, storage, and network architecture -Real-world applications and case studies -Reconfigurable, resilient and fault-tolerant systems Submissions must be in English, 8 pages maximum, following the IEEE conference formatting guidelines. To be published in the conference proceedings and to be eligible for publication at the IEEE Xplore, at least one of the authors must register at the full rate and present her/his work. Authors may not use a single registration for multiple papers. Authors of selected papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing. Paper submission will be done through EasyChair: https://www.easychair.org/conferences/?conf=sbacpad2020 ---------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------- Abstract deadline: June 28, 2020 Paper deadline: June 28, 2020 Reviewing period: June 29 - July 15, 2020 Rebuttal period: July 15 - July 19, 2020 Author notification: July 22, 2020 Camera-ready submission: July 25, 2020 ---------------------------------------------------------------------------- Organizing Committee ---------------------------------------------------------------------------- General Chairs In??s Dutra,ines at dcc.fc.up.pt (University of Porto, Portugal) Jorge Barbosa,jbarbosa at fe.up.pt (University of Porto, Portugal) Miguel Areias,miguel-areias at dcc.fc.up.pt (University of Porto, Portugal) Program Co-chairs Jorge Barbosa (University of Porto, Portugal) Laurent Lef??vre (Inria, ENS Lyon, University of Lyon, France) Lucia Drummond (Universidade Federal Fluminense, Brazil) Track Chairs Computer Architecture Chair: Jos?? Moreira, IBM Thomas J. Watson Research Center, USA Edson Borin, University of Campinas, Brazil Felipe Fran??a, State University of Rio de Janeiro, Brazil Gabriel Falc??o, University of Coimbra, Portugal Jairo Panetta, Aeronautics Institute of Technology, Brazil Jean-Luc Gaudiot, University of California, USA Jose Cano, University of Glasgow, UK Leandro Santiago, Federal Fluminense University, Brazil Lluc Alvarez, Barcelona Supercomputing Center, Spain Nuno Roma, University of Lisbon, Portugal Peter Hofstee, IBM Austin Research Laboratory, USA Rodolfo Azevedo, University of Campinas, Brazil Serif Yesil, University of Illinois, USA Wagner Meira, Federal University of Minas Gerais, Brazil Networking and Distributed Systems Chair: Jes??s Carretero, University Carlos III of Madrid, Spain Alexey Lastovetsky, University College Dublin, Ireland Angelos Bilas, FORTH-ICS and University of Crete, Greece Bruno Schulze, National Laboratory for Scientific Computing (LNCC), Brazil Carla Osthoff Barros, National Laboratory for Scientific Computing (LNCC), Brazil Domenico Talia, University of Calabria, Italy Emmanuel Jeannot, INRIA, France Jose Luis Gonzalez, Instituto Tecnol??gico de Ciudad Valles (ITV), M??xico Leonel Sousa, Universidade de Lisboa, Portugal Marco Aldinucci, University of Torino, Italy Silvina Caino, University of Tennessee, USA Parallel Applications and Algorithms Chair: Alba Melo, University of Bras??lia, Brazil Alfredo Goldman, University of S??o Paulo, Brazil Ananth Kalyanaraman, Washington State University, USA Anne Benoit, ENS Lyon???LIP, France Antonio J. Pe??a, Barcelona Supercomputing Center, Spain Bertil Schmidt, University of Mainz, Germany Cristiana Bentes, State University of Rio de Janeiro, Brazil Cristina Boeres, Federal Fluminense University, Brazil Edson Caceres, Federal University of Mato Grosso do Sul, Brazil George Teodoro, Federal University of Minas Gerais, Brazil Gianfranco Bilardi, University of Padova, Italy Jose Nelson Amaral, University of Alberta, Canada Luciana Arantes, Universit?? Pierre et Marie Curie-Paris, France Ricardo Rocha, University of Porto, Portugal Viktor Prasanna, University of Southern California, USA Performance Evaluation Chair: Ariel Oleksiak, Pozna?? Supercomputing and Networking Center, Poland Altino Sampaio, Instituto Polit??cnico do Porto, Portugal Aur??lien Cavelan, University of Basel, Switzerland Frederic Suter, French National Institute of Nuclear and Particle Physics, France Georges Da Costa, Universite Toulouse III - Paul Sabatier, France Giovanni Agosta, Politecnico di Milano, Italy Hamid Arabnejad, Brunel University, UK Hongyang Sun, Vanderbilt University, USA Lucas Schnorr, Federal University of Rio Grande do Sul, Brazil Martin Schulz Technical University of Munich, Germany System Software Chair: Jidong Zhai, Tsinghua University, China Ang Li, Pacific Northwest National Laboratory, USA Chi Zhou, Shenzhen University, China Christoph Kessler, Link??ping University, Sweden Clemens Grelck, University of Amsterdam, Netherlands Dandan Song, Beijing Institute of Technology, China Dazhao Cheng, University of North Carolina at Charlotte, USA Feng Zhang, Renmin University of China, China Guangyu Sun, Peking University, China Haikun Liu, Huazhong University of Science and Technology, China Mingyu Gao, Tsinghua University, China Philippe Navaux, Federal University of Rio Grande do Sul, Brazil Pradeep Kumar, William & Mary, USA Quan Chen, Shanghai Jiaotong University, China Shanjiang Tang, Tianjin University, China Shigang Li, ETH Zurich, Switzerland Teng Yu, Tsinghua University, China Vinod Rebello, Universidade Federal Fluminense, Brazil Zeyi Wen, National University of Singapore, Singapore Zhaoguo Wang, Shanghai Jiaotong University, China Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From lpandolfo at uniss.it Tue Jun 16 13:48:15 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Tue, 16 Jun 2020 19:48:15 +0200 Subject: Connectionists: [Call for Participation] SAT 2020 - The 23rd International Conference on Theory and Applications of Satisfiability Testing Message-ID: <1f3c07c3-5a1c-5842-5352-83fe21b5cba4@uniss.it> ********************* Call for Participation ************** The 23rd International Conference on Theory and Applications of Satisfiability Testing (SAT 2020) 3-10 July 2020 http://sat2020.idea-researchlab.org/ Due to the COVID-19 restrictions, SAT2020 is going virtual *********************************************************** ***SAT 2020*** The International Conference on Theory and Applications of Satisfiability Testing (SAT) is the premier annual meeting for researchers focusing on the theory and applications of the propositional satisfiability problem, broadly construed. In addition to plain propositional satisfiability, it also includes Boolean optimization (such as MaxSAT and Pseudo-Boolean (PB) constraints), Quantified Boolean Formulas (QBF), Satisfiability Modulo Theories (SMT), and Constraint Programming (CP) for problems with clear connections to Boolean-level reasoning. ***REGISTRATION*** Registration is FREE and REQUIRED for all participants of the virtual conference, including the authors of the accepted papers. REGISTRATION LINK: https://sat2020.idea-researchlab.org/registration/ ***PROGRAM*** The SAT 2020 main conference and all the workshops will be held in a virtual manner from 4pm ? 8pm, latest (CET) in order to cover all the time zones and allow the widest participation. The conference format is a mix of pre-recorded and asynchronous talks, and live engagement such as Q&A sessions. Full details of the main conference program can be seen here: https://sat2020.idea-researchlab.org/program/ Details on workshops are available here: https://sat2020.idea- researchlab.org/workshops/ *** INVITED SPEAKERS *** Georg Gottlob, University of Oxford and TU Wien, Austria Aarti Gupta, Princeton University, US ***CONFERENCE SCHEDULE AT A GLANCE*** WORKSHOP DAY, July 3 Pragmatics of SAT (POS) SAT 2020 DAY 1, July 6 Invited Speaker - Aarti Gupta (Princeton University, US) Q&A Live Sessions SAT 2020 DAY 2, July 7 Invited Speaker - Georg Gottlob (University of Oxford and TU Wien) Q&A Live Sessions SAT 2020 DAY 3, July 8 Q&A Live Sessions Competition WORKSHOP DAY, July 9 QBF Workshop WORKSHOP DAY, July 10 Model Counting ***ORGANIZATION*** Program Chairs * Luca Pulina, University of Sassari * Martina Seidl, Johannes Kepler University Linz Workshop Chair * Florian Lonsing, Stanford University Publicity Chair * Laura Pandolfo, University of Sassari -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sabu.thampi at iiitmk.ac.in Wed Jun 17 02:45:42 2020 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Wed, 17 Jun 2020 12:15:42 +0530 Subject: Connectionists: Call for Papers - Springer proceedings and Special Issue in JIFS, IoS Press - Sixth International Symposium on Intelligent Systems Technologies and Applications (ISTA'20) Message-ID: Apologies for cross-postings! Please forward to anyone who might be interested -------------------------------------------------------------------------------------------------- Sixth International Symposium on Intelligent Systems Technologies and Applications (ISTA'20) October 14-17, 2020, Chennai, India http://www.acn-conference.org/2020/ista2020/ Submission Deadline: July 15, 2020 Submission Link: https://edas.info/N27446 -------------------------------------------------------------------------------------------------- ISTA?20 aims to bring together researchers in related fields to explore and discuss various aspects of intelligent systems technologies and their applications. The Symposium will provide excellent opportunities for the presentation of interesting new research results and discussion about them, leading to knowledge transfer and the generation of new ideas. Prospective authors are invited to submit original unpublished work that is not currently under consideration for publication elsewhere via the various tracks hosted by ISTA?20: Track I: Intelligent Tools and Techniques Track II: Applications using Intelligent Techniques Track III: Intelligent Image Processing and Artificial Vision Track IV: Intelligent Techniques for Ad-hoc and Wireless Sensor Networks Track V: Business Intelligence and Big Data Analytics Track VI: Intelligent Distributed Computing Authors should submit their papers online through the EDAS conference management system. All submitted papers will be judged based on their originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability through double-blind reviewing, where the identities of the authors are withheld from the reviewers. The following publication options are available: -- Special Issue in Journal of Intelligent and Fuzzy Systems (JIFS), IOS Press, Netherlands (SCI Impact Factor 2019: 1.637). -- Publication in the prestigious Advances in Intelligent Systems and Computing Series (Springer, Germany) and SpringerLink Important Dates ---------------- Papers Due: July 15, 2020 Acceptance Notification: August 30, 2020 Final Paper Deadline: September 20, 2020 Contact us: ista.symposium at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Wed Jun 17 04:35:01 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Wed, 17 Jun 2020 10:35:01 +0200 Subject: Connectionists: Fully funded PhD thesis at IMT Nantes (France) Message-ID: An HTML attachment was scrubbed... URL: From abhijin at virginia.edu Wed Jun 17 07:55:23 2020 From: abhijin at virginia.edu (Adiga, Abhijin (aa5ts)) Date: Wed, 17 Jun 2020 11:55:23 +0000 Subject: Connectionists: Special issue of the Journal of IIsc Message-ID: Special Issue of the Journal of the Indian Institute of Science https://easychair.org/cfp/JIISC-21 Theme: Emerging Trends in Modeling and Analysis of Complex Systems Submission of manuscript deadline: August 1, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.hutt at inria.fr Wed Jun 17 12:45:32 2020 From: axel.hutt at inria.fr (Axel Hutt) Date: Wed, 17 Jun 2020 18:45:32 +0200 (CEST) Subject: Connectionists: Fully funded PhD in Electrophysiology: Closed-loop Transcranial Electric Stimulation Message-ID: <77957169.44912594.1592412332551.JavaMail.zimbra@inria.fr> ========== PhD-project in electrophysiology: Closed-loop Transcranial Electric Stimulation of Neural Networks in a Rodent Model of Psychosis Transition. ========== Patients suffering from schizophrenia develop resistance to chemical treatments. Transcranial electrical stimulation (TES), a non-invasive neurophysiological approach, has been shown to alleviate some symptoms, to improve cognitive performances, and to modulate the corticothalamic connectivity. The goal of the project is to optimize a combination of stimulation parameters that make it efficient for the TES against the psychosis transition using predictive electrical biomarkers. In healthy humans and rodents, ketamine reproduces, with a single psychotomimetic dose, the abnormal amplification of corticothalamic gamma-frequency (30-80 Hz) oscillations recorded in individuals having a high-risk mental state for a psychosis transition. Gamma oscillations are naturally involved in cognition, which is also disrupted in at-risk patients. It was demonstrated that the ketamine-induced gamma hyperactivity is prevented by the antipsychotic clozapine. The Ph.D. student will experimentally investigate the TES in the ketamine rodent model of psychosis transition. In an attempt to optimize a combination of stimulation parameters with potential preventive/curative effects, the Ph.D. student will develop and build up a closed-loop feedback system that controls the TES optimally using a Kalman filter. Requested skills: ----------------- The ideal candidate will have a strong background in neuroscience, preferably with experience in in-vivo electrophysiological techniques, mathematical and statistical skills for data analysis (EEG and cellular), and basic knowledge in numerical programming and neural modelling. Start of the position will be Fall 2020, with duration of 36 months. Funding source: INRIA (Action Exploratoire A/D Drugs). PhD Directors: -------------- Axel Hutt, Inria ? MIMESIS Email: axel.hutt at inria.fr team web page: https://mimesis.inria.fr/ Didier Pinault, Inserm ? U1114 Email: pinault at unistra.fr lab web page: https://www.u1114.inserm.fr/ Please send your application documents (CV and 1 recommendation letter) by email to Axel Hutt. From nicholas.cummins at ieee.org Wed Jun 17 12:33:22 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Wed, 17 Jun 2020 18:33:22 +0200 Subject: Connectionists: ICMI 2020: Third Call for Demonstrations and Exhibits Message-ID: ******************************************************* ICMI 2020: Third Call for Demonstrations and Exhibits http://icmi.acm.org/2020/index.php?id=cfd 25-29 Oct 2020, Utrecht, The Netherlands ******************************************************* === COVID-19 announcement === Dear all, We are investigating ways to hold ICMI2020 as a virtual conference or as a partially virtual conference. In any case, the ICMI2020 proceedings will be published as scheduled. Best, the organizing team of ICMI2020. =============================== We invite you to submit your proposals for demonstrations and exhibits to be held during the 22nd ACM International Conference on Multimodal Interaction (ICMI 2020), located in Utrecht, the Netherlands, October 25-29th, 2020. This year?s conference theme: In this information age, technological innovation is at the core of our lives and rapidly transforming and impacting the state of the world in art, culture, and society, and science as well - the borders between classical disciplines such as humanities and computer science are fading. In particular, we wonder how multimodal processing of human behavioural data can create a meaningful impact in art, culture, and society practices. And vice versa, how does art, culture, and society influence our approaches and techniques in multimodal processing? As such, this year, ICMI welcomes contributions on our theme for Multimodal processing and representation of Human Behaviour in Art, Culture, and Society. Demonstrations and Exhibits The ICMI 2020 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 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 (submission format: http://icmi.acm.org/2020/index.php?id=authors). Demonstration proposals should include a description with photographs and/or screen captures of the demonstration and, where possible, a video of the proposed demo should accompany the submission (no larger than 200MB). 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: suitability as a demo, scientific or engineering feasibility of the proposed demo system, application, or interactivity, alignment with the conference focus, potential to engage the audience, and overall quality and presentation of the written proposal. Authors are encouraged to address such criteria in their proposals (paper submission), 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 2020 proceedings. 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 proposals July 17, 2020* Demo and exhibit notification of acceptance July 31, 2020 Submission of demo final papers August 17, 2020 Questions? For further questions, contact the Demonstrations and Exhibits co-chairs: Zakia Hammal (Zakia_Hammal at yahoo.fr) and Dominique Vaufreydaz ( Dominique at research.vaufreydaz.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From moritz.grosse-wentrup at univie.ac.at Wed Jun 17 11:05:08 2020 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Wed, 17 Jun 2020 17:05:08 +0200 Subject: Connectionists: Announcing the 1st Brain-Computer Interface Un-Conference (BCI-UC) Message-ID: <591cf8aa-c57b-8aad-1e57-23e2c7fbe9fc@univie.ac.at> Dear Colleagues: We cordially invite you to the 1st Brain-Computer Interface Un-Conference (BCI-UC)! https://bciunconference.univie.ac.at/ The 1st BCI-UC is an entirely virtual event that takes place on July 23rd 2020 from 3 pm to 9:30 pm (CEST). It differs in various ways from traditional conferences in our field: * All presentations are publicly streamed via Crowdcast. * Anybody can apply for a presentation slot by submitting an abstract. All registered attendees can up-vote their favorite abstracts. In this way, the whole community decides which presentations they would like to see presented at the conference. * Voting commences on Monday, June 29th at 8 am (CEST) and ends on Thursday, July 16th at 12 midnight (CEST). The authors of the top-rated abstracts are invited to present their work at the conference. * Registration (free of charge) is required for submitting an abstract and to up-vote submissions. In addition to the contributed talks, the 1st BCI Un-Conference features two keynotes presentations: 1. Mariska J Vansteensel (UMC Utrecht Brain Center): Towards the Daily Life Implementation of ECoG-BCIs 2. Christian Herff (Maastricht University): Decoding Speech from Invasive EEG Please join us in exploring this new way of disseminating research in our community! The BCI-UC Organizing Committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Anita Resch Jiachen Xu -- 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 dom343 at gmail.com Wed Jun 17 21:04:54 2020 From: dom343 at gmail.com (Shell Xu Hu) Date: Thu, 18 Jun 2020 03:04:54 +0200 Subject: Connectionists: [Jobs] Multiple Openings for Research Scientists and Interns at Upload AI LLC Message-ID: Multiple Openings for Research Scientists and Interns at Upload AI, LLC, interested to Upload Neuroscience and Cognitive science knowledge into new AI. Deep learning surpasses humans in many tasks but does not generalize well to new situations like humans do, and lacks interpretability. These flaws limit the utility of AI systems in interactions with humans. If you are interested in how to build less artificial, more intelligent and interpretable algorithms by learning from brains and human behavior and cognition, join our team! We are hiring at all levels, from interns to research scientists and engineers. We are looking for enthusiastic machine learning scientists and engineers with an entrepreneurial startup spirit with strong backgrounds in math, statistics, and machine learning (no experience in neuroscience, psychology or cognitive science is necessary). We aim to create the next generation of AI algorithms that will be more robust, generalize better, and can cooperate intuitively with humans. POSITIONS: We have opportunities to work on several AI projects in the US and Europe at multiple locations. All team members will interact extensively across multiple scientific disciplines and multiple sites. Highest-priority topics include: * Brain-inspired deep networks for vision and auditory perception with an emphasis on better generalization and interpretability. * Meta-learning, continual learning and few-shot learning with applications in object detection. * Efficient optimization algorithms for non-convex, non-smooth functions with applications in active learning. THE TEAM: The projects are led by Andreas Tolias, Xaq Pitkow and Jacob Reimer from Baylor College of Medicine, Matthias Bethge from University of T?bingen and the European Laboratory for Learning and Intelligent Systems, and Shell Xu Hu from Upload AI LLC. APPLYING: The positions provide highly competitive salary and benefits, and outstanding scientific and career development opportunities. Applicants should email CV to info at uploadai.com. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Thu Jun 18 06:13:46 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Thu, 18 Jun 2020 12:13:46 +0200 Subject: Connectionists: ICMI 2020: Call for Late-Breaking Results Message-ID: *Call for Late-Breaking Results* ************************************ http://icmi.acm.org/2020/index.php?id=cflbr 25-29 Oct 2020, Utrecht, The Netherlands ************************************ ICMI2020 will be held as a virtual conference or partially virtual conference. LBR will be published as scheduled. ************************************ Based on the success of the LBR in ICMI 2018 and 2019, the ACM International Conference on Multimodal Interaction (ICMI) 2020 continues soliciting submissions for the special venue titled Late-Breaking Results (LBR). The goal of the LBR venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the new Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. *Online Submission*For online paper submissions, please click on the following link: https://new.precisionconference.com/user/login?society=sigchi *Highlights* - Submission deadline: August 12th, 2020 - Notifications: September 8th, 2020 - Camera-ready deadline: September 30th, 2020 - Conference Dates: October 24-25, 2020 - Submission format: Anonymized, short paper (four pages not including references), following the submission guidelines ( http://icmi.acm.org/2020/index.php?id=authors) - Selection process: Peer-Reviewed - Presentation format: Participation in the conference poster session - Proceedings: Included in Adjunct Proceedings and ACM Digital Library - LBR Co-chairs: Elizabeth Shriberg (Berkeley University) and Catherine Pelachaud (CNRS-Sorbonne University) *What are Late-Breaking Results?* Late-Breaking Work (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting edge or emerging work that is still in exploratory stages, smaller-scale studies, or in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track. *Why submit to the Late-Breaking Results track at ICMI?* Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR (posters) track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field. Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are "significant" revisions from the original, as per the ACM and ACM SIGCHI policies. *Submission Guidelines* Extended Abstract: An anonymized, four-page paper, not including references, in the 2015 ACM SIGCHI Extended Abstracts format ( https://sigchi.org/templates). The paper should be submitted in PDF format and through the ICMI submission system in the "Late-Breaking Results" track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version and no deadline extensions can be granted. Anonymization: Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR to prior work, authors should not remove or anonymize references to their own prior work. Instead, we recommend that authors obscure references to their own prior work by referring to it in the third person during submission. If desired, after acceptance, such references can be changed to first-person. *Review Process* LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it "fits" the LBR track (e.g., in-progress results). More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. *Attendance* At least one author of all accepted LBR submissions must register for and attend the conference, including the conference poster session. *Questions?* For more information and updates on the ICMI 2020 Late-Breaking Results (LBR), visit the LBR page of the main conference website: https://icmi.acm.org/2020/index.php?id=cflbr. For further questions, contact the LBR co-chairs - Elizabeth Shriberg elizabeth.shriberg at gmail.com, - Catherine Pelachaud catherine.pelachaud at upmc.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.hain at sheffield.ac.uk Thu Jun 18 06:51:49 2020 From: t.hain at sheffield.ac.uk (Thomas Hain) Date: Thu, 18 Jun 2020 11:51:49 +0100 Subject: Connectionists: Two fully-funded PhD studentships in automatic speech recognition - University of Sheffield Message-ID: We are delighted to be able to offer two fully-funded PhD studentships in Automatic Speech Recognition at the Voicebase Centre of the University of Sheffield, to start in October 2020. The Voicebase studentship covers all fees and maintenance for 3 years at standard UK rates. *Topic 1*: Semi-supervised Learning for Automatic Speech Recognition To apply: https://www.jobs.ac.uk/job/CAJ398/phd-studentship-in-semi-supervised-learning-for-automatic-speech-recognition Deadline: July 22nd, 2020 *Topic 2*: Multilingual Speech Recognition To apply: https://www.jobs.ac.uk/job/CAJ394/phd-studentship-in-multilingual-speech-recognition Deadline: July 22nd, 2020 For further information please contact Prof. Thomas Hain ( t.hain at sheffield.ac.uk). Please circulate this message to potential applicants. Best regards, Thomas Hain -- Thomas Hain htttp://dcs.shef.ac.uk/~th Professor of Speech and Audio Technology Director CDT in Speech and Language Technology Director Voicebase Centre for SLT Head of Speech and Hearing Research, Sheffield University Technical Program Chair, Interspeech 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Thu Jun 18 07:06:56 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 18 Jun 2020 13:06:56 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2020 Message-ID: **COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions in many countries, COMPLEX NETWORKS 2020 is planned fully online. Registration fees will be adjusted accordingly**. (**Apologies for any cross posting)* *Ninth** International Conference on Complex Networks & Their Applications* *Madrid, Spain December 1- 3, 2020* http://www.complexnetworks.org You are cordially invited to submit your contribution until September 02, 2020. *Speakers * ? Leman Akogu Carnegie Mellon University, USA ? Stefano Boccaletti ISC CNR, Italy ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain *Tutorials** (**November 30, 2020**)* ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *Conference publications* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome*.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* *Post-conference publications* Extended versions of unpublished contributions (papers & abstracts) 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 Frontiers in Big Data o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *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* *Program Chairs* Chantal Cherifi *University of Lyon, France* Luis M. Rocha *Indiana University, USA* Marta Sales-Pardo *Universitat Rovira i Virgili, Spain* *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From jozsef.arato at univie.ac.at Thu Jun 18 07:59:13 2020 From: jozsef.arato at univie.ac.at (Jozsef Arato) Date: Thu, 18 Jun 2020 13:59:13 +0200 Subject: Connectionists: CALL: Pattern Recognition in Neuroimaging Virtual Summer School Message-ID: <003301d64567$e2a48870$a7ed9950$@univie.ac.at> CALL FOR APPLICATIONS Pattern Recognition in Neuroimaging Virtual Summer School: PRNI 2020 Dates: 14-18 September 2020. Organized by the Research Group Neuroinformatics and the Cognitive Science Hub, University of Vienna, Austria We are happy to announce PRNI 2020, a one-week virtual summer school aimed at training students and early-stage researchers in theoretical and practical aspects of using machine learning and other modern data analysis methods in cognitive neuroscience. The summer school consists of talks by internationally renowned experts complemented by interactive Python tutorials. Students will receive help and feedback from teaching assistants and will have the opportunity to get to know other researchers online. The early bird registration deadline is the 30th of June, please find more details on the link below: https://prni2020.univie.ac.at/ Main Topics: ? Machine learning ? Deep learning ? Bayesian modeling ? Connectivity and causality ? fMRI ? EEG/MEG ? Calcium imaging Keynote Speakers Peter Dayan (MPI Biological Cybernetics/Tubingen) Katharina Dobs (MIT) Romy Lorenz (Cambridge) Teaching Faculty (A-Z) Sebastian Tschiatschek (Uni. Vienna) Tonio Ball (Uni. Freiburg) M?t? Lengyel (Cambridge/CEU) Georg Langs (Med. Uni. Wien) Alexandre Gramfort (INRIA) Moritz Grosse-Wentrup (Uni. Vienna) Manuel Zimmer (IMP Vienna) _______________________________________ Jozsef Arato, PhD Program Chair PRNI 2020 Data Science Postdoc ----------------------------- Vienna Cognitive Science Hub University of Vienna Liebiggase 5 (Room HE.63) 1010, Vienna jozsef.arato at univie.ac.at -------------- next part -------------- An HTML attachment was scrubbed... URL: From maass at igi.tugraz.at Thu Jun 18 10:24:10 2020 From: maass at igi.tugraz.at (Wolfgang Maass) Date: Thu, 18 Jun 2020 16:24:10 +0200 Subject: Connectionists: Phd/Postdoc position for research on brain-inspired AI and Machine Learning Message-ID: <6cb6c78e-1f90-671d-205c-74811cb6b5da@igi.tugraz.at> We are looking for an outstanding and highly motivated Phd student or Postdoc to complement our team in the Faculty for Computer Science and Biomedical Engineering of Graz University of Technology, Austria (Graz is actually a wonderful place to live). We want to understand how essential components of brain-intelligence, such as the creation and use of semantic and episodic memories, one-shot learning, abstract reasoning, and the use of imagination for problem solving can be reproduced in models for neural networks of the brain (networks of spiking neurons). As inspiration ?and technical tools?we use current methods from Machine Learning and AI, such as Deep Learning and Learning-to-Learn, that have already drastically advanced our understanding of intelligence. This work will build on our recently developed methods, such as G. Bellec, F. Scherr, A. Subramoney, E. Hajek, D. Salaj, R. Legenstein, and W. Maass. A solution to the learning dilemma for recurrent networks of spiking neurons. Nature Communications, in press, 2020. (draft https://www.biorxiv.org/content/10.1101/738385v4) F. Scherr, C. Stoeckl, and W. Maass. One-shot learning with spiking neural networks. bioRxiv, 2020. https://igi-web.tugraz.at/PDF/256.pdf C. Papadimitriou, S. Vempala, D. Mitropolsky, M. Collins, and W. Maass. Brain computation by assemblies of neurons. PNAS, in press, 2020. (draft https://www.biorxiv.org/content/10.1101/869156v2.full.pdf) This position is funded by the Human Brain Project of the EU, which offers an exciting international and interdisciplinary research environment. Our team also collaborates with researchers in neuroscience and neuromorphic engineering in the US. Requirements: --strong mathematical background and analytical skills --excellent programming and computing capabilities (mainly TensorFlow or Pytorch) --a genuine urge to understand brain-intelligence --knowledge and experience in Machine Learning Please send your CV, grades, motivation letter, and links to pdf of your master thesis and other relevant preceding work to charlotte.rumpf at tugraz.at -- Prof. Dr. Wolfgang Maass Graz University of Technology, Austria http://www.igi.tugraz.at/maass/Welcome.html From marcin at amu.edu.pl Fri Jun 19 06:10:53 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 19 Jun 2020 12:10:53 +0200 Subject: Connectionists: CFP: 1st Workshop on Actors, Agents, Assistants, Avatars (4A'20); video-conference; IEEE #49059; publication IEEE DL; deadline 3.07.2020 In-Reply-To: <1106e70c-24c4-5b19-cba1-581e02edf446@ibspan.waw.pl> References: <1106e70c-24c4-5b19-cba1-581e02edf446@ibspan.waw.pl> Message-ID: CALL FOR PAPERS ************************************************************* 1st Workshop on Actors, Agents, Assistants, Avatars (4A'20) https://www.fedcsis.org/2020/4a Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020), Track 2 Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ https://www.fedcsis.org/2020/css ************************* COVID-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ The field of, broadly understood, agent technology is undergoing rapid changes. What was once envisioned, primarily, in research papers becomes reality. Over last few years we observe proliferation of personal assistants and avatars (sometimes considered under a joint umbrella of ChatBots). For instance, consider Siri, Cortana, Amazon Echo, or Google Assistant (to name the most popular). They can help in different activities, but a lot of work remains before they reach full potential. Furthermore, actors start to materialize in real-world applications ? as a promising approach to implement large-scale distributed systems. It is also worthy noticing that avatars, humans and smart things can cooperate as a community that instantiates, contributes to and exploits various aspects of collective intelligence. Here, observe that agents can play very relevant role in the context of implementing, for example, intelligence of smart devices, which interact with each other and with humans, by common communication channels and, possibly even, social networks. At the same time, software tools that can be used to realize 4A systems have reached maturity and are surrounded by active user communities. Topics To recognize the current trends we have decided to develop a new workshop that will cover all aspects concerning the 4A?s. Therefore, we welcome submissions of original papers concerning the following topics (the list is not exhaustive and deliberately provided on a meta-level): * Actors, as an approach to design and (efficiently) implement distributed systems * Current perspectives on software agents and multi-agent systems * Design and implementation of assistants * ChatBot design, implementation and use ? Avatars for today and tomorrow * Theoretical foundations of 4A-based systems ? 4A-based simulations (with application to real-world use cases, in particular) * Case studies, applications and experiences with 4A?s (in real-world, in particular) Demo Session A special session devoted to demonstration of working prototypes is planned. Special recognition for the best demo will be given. Paper submission - Authors should submit draft papers (as Postscript, PDF or MSWord file). - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar - Extended versions of selected papers presented during the conference will be invited to the Special Issue of: ** Scalable Computing; Practice and Experience ** Complex Adaptive Systems Modeling (publication fee waiver for the papers that are going to be selected is expected) ** Multiagent and Grid Systems Organizers reserve right to move accepted papers between FedCSIS events. Important dates + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 Program Committee Agotnes, Thomas, University of Bergen, Norway Ambroszkiewicz, Stanislaw, Institute of Computer Science, Polish Academy of Sciences, Poland Barseghyan, Artak, Yerevan, Armenia Braubach, Lars, University of Hamburg, Germany Budimac, Zoran, Faculty of Sciences, Univ. of Novi Sad, Serbia Byrski, Aleksander, AGH University of Science and Technology, Poland Cabri, Giacomo, University of Modena and Reggio Emilia, Italy Florea, Adina, University POLITEHNICA of Bucharest, Romania Jedrzejowicz, Piotr, Gdynia Maritime University, Poland Jezic, Gordan, University of Zagreb, Croatia Kaleta, Mariusz, Warsaw University of Technology, Poland Kruczkiewicz, Zofia, Wroc?aw University of Technology, Poland Kusek, Mario, University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia Leszczyna, Rafal, Gdansk University of Technology, Poland Letia, Ioan Alfred, Technical University of Cluj-Napoca, Romania Montangero , Manuela Morge, Maxime, Universit? de Lille, France Negru, Viorel, West University of Timisoara, Romania Neruda, Roman, Institute of Computer Science, Academy of Sciences of the Czech Republic, Czech Republic Ngoc-Thanh, Nguyen, Wroclaw University of Science and Technology, Poland Niazi, Muaz, COSMOSE Research Group, COMSATS Institute of IT, Pakistan Oliveira, Eugenio, Faculty of Engineering, University of Porto, Portugal Omicini, Andrea, Alma Mater Studiorum?Universita di Bologna, Italy Oren, Nir, University of Aberdeen, United Kingdom Ouedraogo, Moussa, Public Research Centre Henri Tudor, Luxembourg Paik, Incheon, University of Aizu, Japan Poggi, Agostino, DII - University of Parma, Italy Pokahr, Alexander, Helmut-Schmidt-Universit?t/Universit?t der Bundeswehr Hamburg, Germany Rahimi, Shahram, Southern Illinois University, United States Rimassa, Giovanni, Whitestein Technologies AG, Switzerland Rykowski, Jarogniew, Poznan University of Economics, Poland Sakellariou, Ilias, University of Macedonia, Greece Santoro, Corrado, University of Catania, Italy Schaefer, Robert, AGH University of Science and Technology, Poland Senatore, Sabrina, DIEM University of Salerno, Italy Tang, Yuqing, Carnegie Mellon University, United States Thimm, Matthias, University of Koblenz-Landau, Germany Venticinque, Salvatore, University of Campania "Luigi Vanvitelli", Italy Vouros, George, University of Piraeus, Greece Wahjudi, Paulus, Marshall Unviersity, United States Event Chairs Badica, Costin, University of Craiova, Romania Ganzha, Maria, Warsaw University of Tecnoogy, Poland Ivanovi?, Mirjana, University of Novi Sad, Serbia Paprzycki, Marcin, Systems Research Institute Polish Academy of Sciences, Poland Unland, Rainer, Universit?t Duisburg-Essen, Germany Contact: 4a2020 at fedcsis.org -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From marcin at amu.edu.pl Fri Jun 19 06:15:55 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 19 Jun 2020 12:15:55 +0200 Subject: Connectionists: CFP: 11th Workshop on Scalable Computing (WSC'20); video-event; IEEE #49059; publication IEEE DL; deadline 03.07.2020 In-Reply-To: References: Message-ID: <44c3a54d-bbb5-99df-9942-a5f7f0cb10ec@amu.edu.pl> CALL FOR PAPERS ************************************************************* 11th Workshop on Scalable Computing (WSC'20) https://www.fedcsis.org/2020/wsc Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020), Track 2 Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ https://www.fedcsis.org/2020/css ************************* COVID-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ The world of large-scale computing continuously evolves. The most recent addition to the mix comes from numerous data streams that materialize from exploding number of cheap sensors installed ?everywhere?, on the one hand, and ability to capture andstudy events with systematically increasing granularity, on the other. To address the needs for scaling computational and storage infrastructures, concepts like: edge, fog and dew computing emerged. Novel issues in involved in ?pushing computing away from the center? did not replace open questions that existed in the context of grid and cloud computing. Rather, they added new dimensions of complexity and resulted in the need of addressing scalability across more and more complex ecosystems consisting of individual sensors and micro-computers (e.g. Raspberry PI based systems) as well as supercomputers available within the Cloud (e.g. Cray computers facilitated within the MS Azure Cloud). Addressing research questions that arise in individual ?parts? as well as across the ecosystem viewed from a holistic perspective, with scalability as the main focus is the goal of the Workshop on Scalable Computing. In this context, the following topics are of special interest (however, this list is not exhaustive). Covered TOPICS include (but are not limited to): - General issues in scalable computing - Algorithms and programming models for large-scale applications, simulations and systems - Large-scale symbolic, numeric, data-intensive, graph-oriented, distributed computations - Fault-tolerant and consensus techniques for large-scale computing - Resilient large-scale computing - Data models for large-scale applications, simulations and systems - Large-scale distributed databases - Load-balancing / intelligent resource management in large-scale applications, simulations and systems - Performance analysis, evaluation, optimization and prediction - Scientific workflow scheduling - Data visualization - On-demand computing - Virtualization supporting computations - Volunteer computing - Scaling applications from small-scale to exa-scale (and back) - Big data real-time computing / analytics - Economic, business and ROI models for large-scale applications - Emerging technologies for scalable computing - Cloud / Fog / Dew computing architectures, models, algorithms and applications - High performance computing in Cloud / Fog / Dew - Green computing in Cloud / Fog / Dew - Performance, capacity management and monitoring of Cloud / Fog / Dew configuration - Cloud / Fog / Dew application scalability and availability - Big Data cloud services - Architectures for large-scale computations (GPUs, accelerators, quantum systems, federated systems, etc.) - Self* and autonomous computational / storage systems PAPER SUBMISSION: * Authors should submit draft papers (as Postscript, PDF or MSWord file). * The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). * Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. * Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. * Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. * Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. * Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. * Organizers reserve right to move accepted papers between FedCSIS events. * Extended versions of selected papers presented during the conference will be published as Special Issue(s) of: --- Scalable Computing; Practice and Experience journal --- Journal of Network and Computer Applications (Elsevier, IF = 2.229) --- other journal(s) to be announced later. * For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions IMPORTANT DATES + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 PROGRAM COMMITTEE: Barbosa, Jorge, University of Porto, Portugal Camacho, David, Universidad Autonoma de Madrid, Spain Carretero, Jesus D'Ambra, Pasqua, IAC-CNR, Italy Durillo, Juan, Leibniz Supercomputer of the Bavarian Academy of Sciences and Humanities, Germany Garcia Valdez, Mario Gordon, Minor, Software development consultant, United States Gravvanis, George, Democritus University of Thrace, Greece Grosu, Daniel, Wayne State University, United States Holmes, Violeta, The University of Huddersfield, United Kingdom Kalinov, Alexey, Cadence Design Systems, Russia Kecskemeti, Gabor, Liverpool John Moores University, United Kingdom Kitowski, Jacek, AGH University of Science and Technology, Department of Computer Science, Poland Knepper, Richard, Indiana University, United States Lang, Tran Van, Vietnam Academy of Science and Technology, Vietnam Lastovetsky, Alexey, University College Dublin, Ireland Margaritis, Konstantinos G., University of Macedonia, Greece Nosovic, Novica, Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina Paw?owski, Wies?aw, University of Gda?sk, Poland Prodan, Radu, University of Klagenfurt, Austria Schikuta, Erich, University of Vienna, Austria Schreiner, Wolfgang, Johannes Kepler University Linz, Austria Shen, Hong, University of Adelaide, Australia Telegin, Pavel, JSCC RAS, Russia Tudruj, Marek, Inst. of Comp. Science Polish Academy of Sciences/Polish-Japanese Institute of Information Technology, Poland Vazhenin, Alexander, University of Aizu, Japan Wei, Wei, School of Computer science and engineering, Xi'an University of Technology, China Wyrzykowski, Roman, Czestochowa University of Technology, Poland Zavoral, Filip, Charles University, Czech Republic TECHNICAL SESSION CHAIRS: Ganzha, Maria, Warsaw University of Technology, Poland Gusev, Marjan, University Sts Cyril and Methodius, Macedonia Paprzycki, Marcin, Systems Research Institute Polish Academy of Sciences, Poland Petcu, Dana, West University of Timisoara, Romania Ristov, Sashko, University of Innsbruck, Austria -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From hocine.cherifi at gmail.com Fri Jun 19 04:28:07 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Fri, 19 Jun 2020 10:28:07 +0200 Subject: Connectionists: CFP EPIDEMICS DYNAMICS & CONTROL ON NETWORKS Message-ID: *Applied Network Science Special Issue on* *EPIDEMICS DYNAMICS & CONTROL ON NETWORKS* https://appliednetsci.springeropen.com/ Networks are ubiquitous in natural, technological and social systems. They offer a fertile framework for understanding and controlling the diffusion of ideas, rumors, and infectious diseases of plants, animals, and humans. Despite recent advances, many challenging scientific questions remain about the correct tools and their practical role in epidemics dynamics and effective strategies supporting public health decision making. The goal of this special issue is to offer a platform to the interdisciplinary community of scientists working on the diffusion process on networks and its plethora of applications. We hope for a broad range of topics to be covered, across theory, methodology, and application to empirical data with a special emphasis on epidemic spreading. Topics of interest include but are not limited to theoretical aspects, algorithms, methods, and fields of applications, as: ? Mobility & Epidemics ? Meta population models ? Diffusion in structured populations ? Emerging infectious diseases models ? Multi-host transmission ? Multi-pathogen / multi-strain interaction in humans, animals and plants ? Interacting spreading processes ? Spreading phenomena on multilayer networks ? Awareness & epidemic spreading ? Opinions/Ideas/Beliefs diffusion ? Multi-host / Multi-pathogen transmission ? Multilayer networks in epidemiology and ecology ? Multi-species population dynamics models ? Dynamics of infectious diseases of humans ? Dynamics of infectious diseases of livestock ? Dynamics of infectious diseases of plants ? Dynamics of infectious diseases of wildlife ? Immunization strategies ? Global and public health aspects of control and prevention ? Infectious disease surveillance ? Forecasting of Pandemic Outbreak using Machine Learning ? Pandemic spread inhibition with IoT based Machine Learning Systems ? Emerging technologies for handling Pandemic Challenges ? Effect of Pandemic at Economy ? Diffusion of information and innovations ? Memes Survey and review papers are welcome. *Important dates* Expression of interest and abstract submission: July 10, 2020 Abstract feedback notification: July 13, 2020 Paper submission deadline: September 21, 2020 Target publication: November 01, 2020 *Papers are published upon acceptance, regardless of the Special Issue publication date**.* *Submission Instructions * We invite authors to submit a brief expression of interest containing a short outline or extended abstract (approx. 1000 words), including the topic, key concepts, methods, expected results, and conclusions. Abstracts should be submitted via easy chair to ANSEDC20 (Applied Network Science: Special Issue on Epidemics Dynamics & Control on networks) at the address: https://easychair.org/conferences/?conf=ansepidemics20 They will be reviewed to determine if the submission is in the scope of this special issue. Authors with accepted abstracts will be invited to submit their papers through the journal submission system for a full review and publication. The Lead guest editor Matja? Perc matjaz.perc at gmail.com *University of Maribor, Slovenia* The Guest editors (TBU) Benjamin M. Althouse bma85 at uw.edu *University of Washington, USA* Hocine Cherifi hocine.cherifi at u-bourgogne.fr *University of Burgundy, France* Joel C Miller joel.c.miller.research at gmail.com *La Trobe University, Australia* Chiara Poletto chiara.poletto at inserm.fr *Inserm, France* Giulio Rosseti giulio.rossetti at isti.cnr.it *University of Pisa, Italy* Onur Varol ovarol at northeastern.edu *Northeastern University, USA* *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From dftschool at ini.rub.de Fri Jun 19 09:14:56 2020 From: dftschool at ini.rub.de (DFT Summer School) Date: Fri, 19 Jun 2020 15:14:56 +0200 Subject: Connectionists: Neuronal dynamics for embodied cognition - Virtual Summer School 2020 Message-ID: <6f1c0865-f9e1-1725-c881-fb4560b6c29d@ini.rub.de> Please forward this advertisement to whoever you think might be interested. The deadline for applications is Aug 30, 2020! Thanks, Raul Grieben and Jan Tek?lve --- Virtual DFT School 2020 This year our summer school "Neural Dynamics for Embodied Cognition" will take place in virtual form from August 31 until September 5, 2020. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and practical introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. This virtual edition of our summer school will consist of two parts: A live-lecture series and a hands-on workshop. The lecture series will be held as a video conference and provides a step-by-step introduction to Dynamic Field Theory. The two-and-a-half-day project workshop gives students the opportunity to put to use the newly acquired skills in a concrete hands-on modeling project. Students solve the task in our open-source simulation environment under the guidance of a personal tutor. This year's lectures will be open for everyone,? while the one-on-one tutoring limits the number of participants who can take part in the workshop. We also encourage workshop applications by small groups of participants, maybe two or three colleagues who will work together locally on the same project and may share a tutor. Although this format will not retain the appeal of meeting other students in person, we will make this year's experience as interactive as possible. The lecture series will be held from August 31 until September 4 and the workshop takes place September 3-5. Lectures will take place from 3 to 6 p.m. (CET) on each day and personal tutoring will be available on each workshop day. Participation in any part of the school is free of charge. To apply for the lecture series and/or the workshop, please visit our webpage: https://dynamicfieldtheory.org/events/summer_school_2020/ From krallinger.martin at gmail.com Fri Jun 19 04:53:34 2020 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Fri, 19 Jun 2020 10:53:34 +0200 Subject: Connectionists: CANTEMIST shared task: Cancer text mining, named entity recognition and clinical coding (IberLEF2020) In-Reply-To: References: Message-ID: **** Call for Participation Cantemist: CANcer TExt Mining Shared Task (IberLEF - SEPLN 2020) **** *Named Entity Recognition of Tumor Morphology Mentions and ICD-O-3 coding track at SEPLN 2020* https://temu.bsc.es/cantemist/ Plan TL Award for the Cantemist Track winners Following the success of previous shared tasks we have coordinated in collaboration with the BioCreative challenges (e.g. ChemDNER, ChemProt), BioNLP-OST (PharmaCoNER), eHealth CLEF (CodiEsp) or IberLEF2019 (MEDDOCAN) we are organizing the first shared task specifically focusing on named entity recognition of a critical type of concept related to cancer, namely *tumor morphology*, called CANTEMIST. These previous efforts resulted in high impact datasets, publications and new tools. *The Cantemist sub-tracks:* *1.CANTEMIST-NER*: finding mentions of tumor morphology in oncology cases. *2.CANTEMIST-NORM:* recognition and mapping to concept identifiers from ICD-O-3. *3.CANTEMIST-CODING: *oncology clinical coding (multi-label classification) assigning ICD-O-3 codes to clinical case documents. *Key information* 1. Cantemist web, info & detailed description: https://temu.bsc.es/cantemist/ 2. Registration for Cantemist: https://temu.bsc.es/cantemist/?p=3956 3. Datasets: https://zenodo.org/record/3878179 *Task motivation* There is a pressing need to apply natural language processing (NLP) and text mining technologies to process clinical texts in order to unlock critical information that enables better clinical decision-making. NLP can facilitate the use of information from literature and electronic health records in biomedical data analysis. *Understanding diseases requires the extraction of certain key entities like diseases, treatments or symptoms* and their attributes from textual data, as has become clear from the recent COVID-19 (SARS-CoV-2, coronavirus disease) pandemic, which showed the current struggle in processing clinical documents written in various languages. With over *470 million* native speakers, there is a worldwide interest in processing medical texts in Spanish (every 10 minutes, tens of thousands of EHRs are produced just in Spain). Such technologies also have the potential of being *adapted to handle other languages*, like Italian, German, French or even English. Results of systems capable of automatically processing clinical texts are not only of interest for the medical user community or researchers working on basic and applied health-related disciplines, but are also demanded by the pharmaceutical industry and ultimately by patients. Due to the special relevance of cancer as one of the leading causes of death and the growing healthcare expenditures for oncological treatments a specific classification resource for oncology has been constructed by the WHO known as International Classification of Diseases for Oncology (*ICD-O*). The CIE-O has been used for over 25 years as a standard resource to code diagnosis of neoplasms in tumor and cancer registries as well as pathology reports. *Important dates* June, 5: Train set and guidelines release June, 12: First development set release July, 3: Test and Background set release Aug, 3: End of the evaluation period Aug, 14: Paper submission Sep 1: Camera-ready paper submission Sep 23-25: SEPLN 2020 Conference *Publications and workshop* There will be an *evaluation workshop allocated at SEPLN 2020* where participating teams can present their systems and results. Moreover, participating teams will be invited to submit their system description papers for publication at the *SEPLN 2020 Working Notes proceedings*. For previous working notes see: http://ceur-ws.org/Vol-2421/ *Cantemist awards* There will be three awards for the top-scoring teams promoted by the Spanish Plan for the Advancement of Language Technology (Plan TL) and the Barcelona Supercomputing Center (BSC). *Main Track organizers* ? *Martin Krallinger*, Barcelona Supercomputing Center, Spain ? *Antonio Miranda*, Barcelona Supercomputing Center, Spain ? *Eul?lia Farr?*, Barcelona Supercomputing Center, Spain ? *Jose Antonio*, Hospital 12 de Octubre, Madrid, Spain *Scientific Committee* ? Kirk Roberts, School of Biomedical Informatics, University of Texas Health Science Center, USA ? Parminder Bhatia, Amazon Health AI, USA ? Irene Spasic, School of Computer Science & Informatics, co-Director of the Data Innovation Research Institute, Cardiff University, UK ? Carlos Luis Parra Calder?n, Head of Technological Innovation, Virgen del Roc?o University Hospital, Institute of Biomedicine of Seville, Spain ? Alfonso Valencia Herrera, Barcelona Supercomputing Center (BSC-CNS), Spain ? Hercules Dalianis, Department of Computer and Systems Sciences, Stockholm University, Sweden ? Kevin Bretonnel Cohen, Colorado School of Medicine, USA; LIMSI, CNRS, Universit? Paris-Saclay, France ? Karin Verspoor, School of Computing and Information Systems, Health and Biomedical Informatics Centre, University of Melbourne ======================================= Martin Krallinger -------------------------------------------------------------------- Head of Biological Text Mining Unit Barcelona Supercomputing Center (BSC-CNS) -------------------------------------------------------------------- Oficina T?cnica de sanidad del Plan TL ======================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From arminmustafa at gmail.com Sat Jun 20 12:16:01 2020 From: arminmustafa at gmail.com (armin mustafa) Date: Sat, 20 Jun 2020 17:16:01 +0100 Subject: Connectionists: [CVMP 2020] Call for submissions In-Reply-To: References: Message-ID: Please circulate this call for papers: *The 17th ACM SIGGRAPH European Conference on Visual Media Production (CVMP 2020)10?11 December 2020Virtual conference* https://www.cvmp-conference.org/ *Call for Submissions* For over a decade, CVMP has built a reputation as the prime venue for researchers to meet with practitioners in the Creative Industries: film, broadcast and games. The Conference brings together expertise in video processing, computer vision, computer graphics, animation and physical simulation, sponsored by ACM SIGGRAPH. It provides a forum for the presentation of the latest research and application advances, combined with keynote and invited talks on state-of-the-art industry practice. CVMP regularly attracts around 140 attendees approximately 50:50 from academia and the creative industries. *Virtual CVMP 2020: 10?11 December 2020* In light of the unknowns associated with the current COVID-19 situation, CVMP will be fully virtual this year! The event will take place on 10?11 December 2020. Proceedings of the Full Papers will appear in the ACM Digital Library, as usual. Please keep checking the CVMP website for updates. We encourage participation from a diverse range of backgrounds including scientists, engineers, artists and producers to contribute inspiring papers, presentations, posters and technical abstracts. We invite submissions to the conference on any topic that demonstrates an impact on visual media production, animation, and interactive content creation and experiences. This year there is an additional focus on *virtual production techniques* and the impact they have across the Creative Industries. We hope contributions will convey innovative ideas, technical details and insight or experience into theory and/or practice. *Full Papers:*We invite submissions of regular, technical papers presenting novel research or applications related to any aspect of media production, including computer vision, graphics and machine learning research with application in this area. We particularly encourage the submission of early-stage doctoral work. Submitted papers can be any length up to 10 pages and will be subject to double-blind peer review. Accepted papers will be presented in either oral or poster form, and will appear in the ACM Digital Library. Browse past CVMP papers in the ACM Digital Library here: https://bit.ly/CVMP_ACM_DL *Short Papers and Technical Abstracts:*Submissions are invited in the form of a one-page extended abstract, describing innovative industry practice or academic research. Submissions can also describe work in progress and do not prevent submission of the work elsewhere. Accepted submissions will be presented in poster form at the conference, and will not appear in the ACM Digital Library. *Demos:*The demos programme promotes applied research and applications to facilitate collaborations between industrial and academic members of the media production community. Demos do not have to be related to full or short papers accepted at CVMP but should have the form of live demonstrations of media production methods and/or their applications. A one-page paper should be submitted describing the content of the demonstration and an overview of the approach. *Industry Talks:* We invite submissions for industry talks showcasing innovative ideas and practice. These should be submitted in the form of a one-page extended abstract describing the proposed talk. Talks will take a similar form to submissions for talks at SIGGRAPH and FMX, and can be talks that have already been presented at other venues. *Submission Dates:* Full Papers deadline: 17 July 2020 Industry Talks deadline: 18 September 2020 Short Papers deadline: 18 September 2020 Demos deadline: 18 September 2020 *All deadlines are 23:59 GMT.* Papers, Demos and Talks are invited in all areas of visual media production related to film, games, and broadcast, including but not limited to: - 3D video capture and 3D-TV - Augmented/Mixed/Virtual reality (AR/MR/VR) - Character animation - Computational photography - Computer vision - Computer graphics - High-dynamic-range (HDR) imaging - Image and video synthesis - Image enhancement and restoration - Image/model/asset editing - Interactive media and games - Level of detail (LOD) - Machine learning - Motion estimation - Multiple camera systems - Omni-directional video - Post-production using stereo, 3D and motion - Pre-visualization - Real-time imaging systems - Real-time rendering - Relighting images and video - Scene modelling - Segmentation and matting - Video and camera tracking - Video-based animation - Video-based human motion capture - Visual asset management - Visual effects (VFX) - Virtual production *Submission Instructions:* https://www.cvmp-conference.org/2020/submission-instructions/ _______________________________________________ visionlist mailing list visionlist at visionscience.com http://visionscience.com/mailman/listinfo/visionlist_visionscience.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From stevenweisberg at ufl.edu Fri Jun 19 17:07:06 2020 From: stevenweisberg at ufl.edu (Weisberg,Steven M) Date: Fri, 19 Jun 2020 21:07:06 +0000 Subject: Connectionists: Full-time lab manager position, Cognitive Neuroscience and Spatial Navigation (University of Florida, Steven Weisberg) Message-ID: <8f2eaeb11bd1471cb23686491885229d@exmbxprd15.ad.ufl.edu> ?The Spatial Cognition and Navigational Neuroscience (SCANN) Laboratory at the University of Florida, directed by Dr. Steven Weisberg, is hiring a full-time lab manager / research technician / programmer to help conduct research related to the cognitive neuroscience of spatial navigation. The SCANN lab uses behavioral cognitive psychology methods in desktop and immersive virtual reality, structural MRI, and univariate and multivariate approaches to fMRI data to determine the behavioral and neural underpinnings of human navigation behavior. To learn more about our work please see our website. The primary purpose of this position is to provide technical and organizational support to the lab. The lab manager will also have the opportunity to be a collaborator in research that will be presented at conferences and published in journals. Technical and organizational skills are a significant plus. The position requires a 1-year commitment and can be renewed dependent on funding availability. Preferred start date is August 15, 2020, but is negotiable. Starting hourly rate is negotiable and commensurate with experience. If interested, please fill out the (short) application here. If you have any questions, please contact Steven Weisberg by email: stevenweisberg at ufl.edu. I will accept applications until the position is filled. Qualifications: (1) A Bachelor's degree in psychology, neuroscience, computer science, biomedical engineering, or a related field. (2) Experience in a research laboratory. (3) Experience with computer programming (Matlab, Python, R, git, bash). Preferred qualifications: (1) Experience with virtual environment design (Unity3D, SteamVR, Vive). (2) Experience with fMRI design and analysis (including FSL, Matlab, or Python tools. Experience with real-time neurofeedback a plus). (3) Experience with Photoshop and/or Illustrator. ? ---------------------------------------------- Steven M. Weisberg, PhD Assistant Professor of Psychology University of Florida Director: SCANN Lab -------------- next part -------------- An HTML attachment was scrubbed... URL: From Darren.Hurley-Smith at rhul.ac.uk Fri Jun 19 11:59:18 2020 From: Darren.Hurley-Smith at rhul.ac.uk (Hurley-Smith, Darren) Date: Fri, 19 Jun 2020 15:59:18 +0000 Subject: Connectionists: [CfP] ~DEADLINE EXTENDED~ Security and Trust Management 2020 Call for Papers In-Reply-To: References: , , Message-ID: The deadline for STM2020 has been extended by two weeks. The new deadline is 11:59PM American Samoa Time, 6th July 2020. We look forwards to receiving your submissions. COVID-19 UPDATE After assessment of the COVID-19 Pandemic, the ESORICS 2020 Organizing Committee has made the decision to move the conference and all associated workshops to an online format. Arrangements for the virtual format are being made and we will post updates as they are announced. This new format will not affect our proceedings, which will be published as Springer LNCS proceedings. =========================================================================== STM 2020 The 16th International Workshop on Security and Trust Management Co-located with: ESORICS 2020 September 17-18, 2020, University of Surrey, Guildford, UK ***Due to COVID-19 this is now a Virtual Event*** https://www.iit.cnr.it/stm2020/ =========================================================================== SCOPE STM (Security and Trust Management) is a working group of ERCIM (European Research Consortium in Informatics and Mathematics). STM 2020 is the sixteenth workshop in this series and will be held at the University of Surrey, Guildford, UK, in conjunction with the 25th European Symposium On Research in Computer Security (ESORICS 2020). The workshop seeks submissions from academia, industry, and government presenting novel research on all theoretical and practical aspects of security and trust in ICTs. TOPICS OF INTEREST * Access control * Anonymity * Applied cryptography * Authentication * Data and application security * Data protection * Data/system integrity * Digital rights management * Economics of security and privacy * Formal methods for security and trust * Identity management * Legal and ethical issues * Mobile security * Networked systems security * Operating systems security * Privacy * Security and trust metrics * Security and trust policies * Security and trust management architectures * Security and trust for big data * Security and trust in cloud environments * Security and trust in content delivery networks * Security and trust in crowdsourcing * Security and trust in social networks * Security and trust in the Internet of Things * Security and trust in pervasive computing * Security and trust in services * Security and trust in edge computing * Security and trust in embedded systems and associated applications * Security and trust in blockchain protocols and applications * Social implications of security and trust IMPORTANT DATES All deadlines are at 11.59PM / 23:59 American Samoa Time Submission: June 22, 2020 July 6, 2020 Notification: August 3, 2020 Camera-ready: August 10, 2020 INSTRUCTIONS FOR PAPER SUBMISSION All submissions should be appropriately anonymized (i.e., papers should not contain author names or affiliations, or obvious citations). Submissions should be at most 16 pages in the LNCS format, including the bibliography and well-marked appendices. All submissions must be written in English, and only PDF files will be accepted (a Latex source file will be required for the final version of accepted papers). The final version of an accepted paper must be in the format required for publication in the LNCS series. Authors should consult Springer?s authors? guidelines and use their proceedings templates. Springer encourages authors to include their ORCIDs https://goo.gl/hbsa4D in their papers. Submissions not meeting these guidelines risk rejection without consideration of their merits. Submissions are to be made to the submission web site at: https://easychair.org/conferences/?conf=stm2020 Papers must be received by the deadline of June 22 (11:59 p.m. American Samoa time). At least one author of accepted papers must guarantee that they will present their paper at the workshop. As in previous years, the proceedings are planned to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. A paper submitted to STM 2020 cannot be under review for any other conference or journal during the time it is being considered for STM 2020. Furthermore, after you submit to STM 2020, you must await our response before submitting elsewhere. If you submit your paper to another conference or journal either before or after submission of the paper to STM 2020, we will reject your paper without review and will also notify the other conference/journal. This restriction applies to identical as well as to substantially similar papers. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. PROGRAM CHAIRS Kostantinos Markantonakis, Information Security Dept., Royal Holloway, UK Marinella Petrocchi, Institute for Informatics and Telematics, CNR, Pisa, Italy WEB CHAIR Michela Fazzolari, Institute for Informatics and Telematics, CNR, Pisa, Italy PROGRAM COMMITTEE Sara Abugazalah, King Khalid University, Saudi Arabia Raja Naeem Akram, Information Security Dept., Royal Holloway, UK Cristina Alcaraz, University of Malaga, Spain Stefano Calzavara, Universit? Ca? Foscari Venezia, Italy Madeline Cheah, Horiba Mira, UK Mauro Conti, University of Padua, Italy Gabriele Costa, IMT School for Advanced Studies, Lucca, Italy Haitham Cruickshank, University of Surrey, UK Jorge Cuellar, Siemens AG, Germany Sabrina De Capitani di Vimercati, University of Milano, Italy Rocco De Nicola, IMT School for Advanced Studies, Lucca, Italy Roberto Di Pietro, Hamad Bin Khalifa University, Doha, Qatar Michela Fazzolari, IIT-CNR, Italy Sara Foresti, Universit? degli Studi di Milano, Italy Lettiero Galletta, IMT School for Advanced Studies, Lucca, Italy Olga Gadyatskaya, LIACS, Leiden University, The Netherlands Gerhard Hancke, City University of Hong Kong, Hong Kong Thibaut Heckmann, ISG Smart Card and IoT Security Centre, London, UK Julio Hernandez, University of Kent, UK Darren Hurley-Smith, Information Security Dept., Royal Holloway, UK Christos Kaloniatis, University of the Aegean, Greece Ghassan Karame, NEC Laboratories Europe, Germany Nikos Komninos, City University of London, UK Giovanni Livraga, Universit? degli Studi di Milano, Italy Eleonora Losiouk, University of Padua, Italy Emmanuel Magkos, Ionian University, Greece Luigi Mancini, Universit? di Roma La Sapienza, Roma, Italy Fabio Martinelli, IIT-CNR, Italy Ilaria Matteucci, IIT-CNR, Italy Sjouke Mauw, University of Luxembourg, Luxembourg Keith Mayes, Information Security Group, Royal Holloway, UK Nikolaos Petroulakis, Foundation for Research and Technology-Hellas (FORTH), Greece Nikos Pitropakis, Edinburgh Napier University, UK Joachim Posegga, University of Passau, Germany Konstantinos Rantos, Eastern Macedonia and Thrace Institute of Technology, Greece Michael Rusinowitch, LORIA ? INRIA Nancy, France Pierangela Samarati, University of Milano, Italy Damien Sauveron,University of Limoges, France Daniele Sgandurra, Royal Holloway, UK Angelo Spognardi, Universit? di Roma La Sapienza, Roma, Italy Mark Strembeck, Vienna University of Economics and Business, Vienna Tom Van Goethem, KU Leuven, Belgium Mathy Vanhoef, NYU Abu Dhabi, United Arab Emirates Chan Yeob Yeun, Khalifa University, Abu Dhabi, United Arab Emirates Chia-Mu Yu, National Chung Hsing University, Taiwan We look forwards to receiving your submissions. Kind regards, Darren Hurley-Smith, Ph.D., Publicity Chair Lecturer in Information Security Information Security group Royal Holloway University of London darren.hurley-smith at rhul.ac.uk This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sat Jun 20 17:52:52 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sat, 20 Jun 2020 23:52:52 +0200 Subject: Connectionists: CFP: Information Systems and Technologies; IEEE #49059; vide-conference; deadline 3.07.2020; publication IEEE DL In-Reply-To: <55cdfbfe-7e17-74d8-6596-5983a395574c@ibspan.waw.pl> References: <55cdfbfe-7e17-74d8-6596-5983a395574c@ibspan.waw.pl> Message-ID: <41c75d44-40ed-6635-1b21-8abc3523adae@amu.edu.pl> Call for Papers Information Systems and Technologies IST'2020 Track 4 within 15th Conference on Computer Science and Information Systems FedCSIS'2020 Bulgarian Academy of Sciences, Sofia, Bulgaria 06-09 September 2020 https://fedcsis.org/2020/ist ************************* COVID-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ Dear friends and colleagues, Are you interested in sharing and discussing your research on integrating and creating synergy between disciplines of information technology, information systems, and social sciences, i.e. economics, management, business, finance, and education? If yes, then please consider submitting our Track 4 IST'2020. The track addresses the issues relevant to information technology and necessary for practical, everyday needs of business, other organizations and society at large. This track takes a socio-technical view on information systems and, at the same time, relates to ethical, social and political issues raised by information systems. It seeks new studies in many disciplines to foster a growing body of conceptual, theoretical, experimental, and applied research that could inform design, deployment and usage choices for information systems and technology within business and public organizations as well as households. Extended versions of high-marked papers presented at technical sessions of IST 2015-2019 have been published with Springer in volumes of Lecture Notes in Business Information Processing: LNBIP 243, LNBIP 277, LNBIP 311, LNBIP 346, and LNBIP 380. Extended versions of selected papers presented during IST'2020 will be published in Lecture Notes in Business Information Processing series (LNBIP, Springer). Authors can submit their paper to the technical sessions: Advances in Information Systems and Technology (AIST'20), https://www.fedcsis.org/2020/aist; Data Science in Health, Ecology and Commerce (DSH'19) (2nd Special Session DSH'20), https://www.fedcsis.org/2020/dsh; Information Systems Management (15th Conference ISM'20), https://www.fedcsis.org/2020/ism; Knowledge Acquisition and Management (26th Conference KAM'20), https://www.fedcsis.org/2020/kam; Important dates: + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 Chairs of IST'2020 Track: Ewa Ziemba, University of Economics in Katowice, Poland Guangming Cao, Ajman University, United Arab Emirates Daphne Raban, University of Haifa, Israel -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From A.Psarrou1 at westminster.ac.uk Sun Jun 21 11:23:21 2020 From: A.Psarrou1 at westminster.ac.uk (Alexandra Psarrou) Date: Sun, 21 Jun 2020 15:23:21 +0000 Subject: Connectionists: (CFP) ICPR2020 Workshop on Metrification and Optimization of Input Image Quality in Deep Networks (MOI2QDN) In-Reply-To: References: , Message-ID: ICPR2020 Metrification and Optimization of Input Image Quality in Deep Networks (MOI2QDN) https://sites.google.com/my.westminster.ac.uk/moi2qdn/home 11 January 2021 (Milan, Italy) DATES: Paper submission: 10 October 2020 Notification: 10 November 2020 Camera ready: 15 November 2020 Workshop: 11 January 2021 CALL FOR PAPERS: Recent years have seen significant advances in image processing and computer vision applications based on Deep Neural Networks (DNNs). Often deep neural networks for such applications are trained and validated based on the assumption that the images are artefact-free. However, in most real-time embedded system applications the images input to the networks, in addition to any variations of external conditions, have artefacts introduced by the Image Signal Processing (ISP) pipelines. Despite recent advances in interpretability and explainability of deep neural models, DNNs remain widely systems whose operational boundaries cannot be explained or otherwise quantified. It is therefore not clear the level of ISP distortions critical networks can tolerate, or the exact reasons for any performance degradation. This workshop addresses the issues of performance quantification in DNNs and explore recent advances in the systematic analysis of the performance of deep neural networks with respect to degradations in the input image quality due to the ISP pipeline and their proposed solutions. Topics of interest include (but are not limited) to: * Case studies investigating the performance of deep neural networks with respect to change in input image quality * Operational boundaries of DNNs with respect to input image quality * Input image quality metrics for deep neural networks * Optimisation of physical camera parameters and ISP pipelines for integrated DNNs embedded systems * Architectural structures of DNNs for optimising integrated ISP embedded systems PAPER SUBMISSON: Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines. The following paper categories are welcome: * Full papers (12-15 pages, including references) * Short papers (6-8 pages, including references) Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume. Once accepted, at least one author is expected to attend the event and orally present the paper. Papers can be submitted using Microsoft CMT ORGANIZERS: For any information please sent an email to one of the organisers: Alexandra Psarrou > Sophie Triantaphillidou > Markos Mentzelopoulos The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW. This message and its attachments are private and confidential. If you have received this message in error, please notify the sender and remove it and its attachments from your system. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hlinka at cs.cas.cz Sun Jun 21 11:47:56 2020 From: hlinka at cs.cas.cz (Jaroslav Hlinka) Date: Sun, 21 Jun 2020 17:47:56 +0200 Subject: Connectionists: Postdoctoral Fellowship in Prague, Czech Republic in Complex Networks and Brain Dynamics Message-ID: <64174758-2272-403f-a8b3-1b486c2b2275@cs.cas.cz> We are looking for new team members to join the *Complex Networks and Brain Dynamics *group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in *Prague, Czech Republic. * We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at _http://cobra.cs.cas.cz/_. For details of various job openings, contact the group leader*Jaroslav Hlinka, *_*hlinka[at]cs.cas.cz*_ . ======================================= The earliest postdoc opportunity is to apply by *June 30th* for the: _*ICS Postdoctoral Fellowship*__**__*in Prague, Czech Republic*_ The Institute of Computer Science (ICS) of the Czech Academy of Sciences (CAS) offers fellowships for outstanding and enthusiastic junior researchers open to cooperation within the Institute. /This fellowship can cover research in various fields of computer science./ /To consult possible research projects/ /focusing on complex systems modelling and analysis, please contact/ /*Jaroslav Hlinka*/ /(hlinka at cs.cas.cz; http://cobra.cs.cas.cz/)./ /*Department of Complex Systems:*/ * /*dynamic interdisciplinary team (mathematics, physics, cybernetics, neuroscience, climate science...)*/ * /*collaboration with clinical research centers with unique large multimodal datasets*/ * /*method development and data analysis in international collaboration*/ /*Conditions:*/ * Each fellowship is of 12?24 months duration (with possible extension up to 36 months to be decided after the first year). * Application deadlines: June 30, 2020. * Starting date: August 1, 2020 or upon agreement. * Full-time fixed term contract appointment. Part time contract possible if taking care of a child. * Monthly gross salary: about 30 000-50 000 CZK based on qualifications and experience. _Cost Of Living Comparison_ * Travel package for the total duration: up to 50 000 CZK for conferences and research stays. * Reallocation package for fellows coming from abroad: 10 000 CZK plus 10 000 CZK for family (spouse and/or children). * Willingness to apply for external funding is an advantage. * No teaching duties * Applicants must: 1. Have obtained a PhD during the last 3 years prior to the starting date (which must me before December 31, 2020), time spent on parental leave excluded. 2. Be fluent in English. * The applications are to be sent to _ics at cs.cas.cz_ and should contain: 1. Curriculum Vitae. 2. Brief description of applicant?s research interests and of intended research plan during the fellowship highlighting possible cooperation inside the institute. 3. Three letters of recommendation ? at most one from the Institute of Computer Science and at most one from the applicant?s current affiliation. The referees should send their recommendations directly to _ics at cs.cas.cz_ . 4. A proof of the obtained degree. For further information and informal inquiries concerning the position please contact _hlinka at cs.cas.cz_ . -- Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic Tel: (+420) 26605 3808 E-mail:hlinka at cs.cas.cz Web:http://www.cs.cas.cz/hlinka/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From annalisa.riccardi at strath.ac.uk Mon Jun 22 06:53:35 2020 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Mon, 22 Jun 2020 10:53:35 +0000 Subject: Connectionists: 2 PhD positions on Robust and Explainable AI for Space Applications Message-ID: Dear Colleague, as part of the Strathclyde Center for Doctoral Training on Explainable AI for Industrial Decision Support, we are looking for 2 PhD candidates on the subject "Robust and Explainable Satellite Mission Planning and Scheduling" with a background/interest in combinatorial optimisation, planning, natural language processing and computational argumentation. The two PhD positions are in collaboration with the European Space Agency, so successful candidates will have the opportunity to spend a period of 6 months/1 year as research visitor at ESA research and technology centre. PhD students are due to start in October 2020, however flexible starting date can be arranged. The scholarship is for 3.5 years and it is fully funded only for UK/EU students. International students willing to apply will need to provide matching tuition fee funds. The full advert of the vacancy can be found at this link https://www.linkedin.com/pulse/phd-positions-robust-explainable-satellite-scheduling-riccardi/?trackingId=mgGVa9F7TGKLgphwFx1DCw%3D%3D If interested please send your CV to: annalisa.riccardi (at) strath.ac.uk michael.cashmore (at) strath.ac.uk Best regards, Annalisa Riccardi Michael Cashmore Annalisa Riccardi, PhD Lecturer, Chancellor?s Fellow MAE 1Y Adviser of Studies ICE Lab the Intelligent Computational Engineering Laboratory www.icelab.uk info at icelab.uk ________________________________________ Aerospace Centre of Excellence Department of Mechanical & Aerospace Engineering Strathclyde University James Weir Building, 75 Montrose Street G1 1XJ Glasgow +44.141574.5169 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Mon Jun 22 13:03:33 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Mon, 22 Jun 2020 19:03:33 +0200 Subject: Connectionists: ICMI 2020 Doctoral Consortium - 3rd Call for Contributions Message-ID: ICMI 2020 Doctoral Consortium - 3rd Call for Contributions ************************************************************** http://icmi.acm.org/2020/index.php?id=cfdc 25-29 Oct 2020, Utrecht, The Netherlands ************************************************************** ICMI2020 will be held as a virtual conference or partially virtual conference. ************************************************************** The goal of the ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. 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 designing and developing multimodal interfaces. We expect to provide economic support to most attendees that will cover part of their costs (travel, registration, meals etc.). = Who should apply? = While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the 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, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply. = Why should you attend? = The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research and whom you can talk to during the lunch. We specifically aim to create an informal setting where students feel supported in their professional development. = Agenda = - 09:00 - 09:30: Invited talk - 09:30 - 11:00: DC talks 1 - 11:00 - 11:30: Coffee break - 11:30 - 13:00: DC talks 2 - 13:00 - 14:30: Lunch mentoring session - 14:30 - 15:15: Panel discussion (senior PhD students and recent graduates) - 15:15 - 15:45: Coffee break - 15:45 - 17:00: Table discussions (small group discussions about topics of interest) = Submission Guidelines = Graduate students pursuing a PhD degree in a field related to designing multimodal interfaces should submit the following materials: 1. Extended Abstract: A four-page description of your PhD research plan and progress in the ACM SigConf format. Your extended abstract should follow the same outline, details, and format of the ICMI short papers. The submissions will not be anonymous. In particular, it should cover: - The key research questions and motivation of your research; - Background and related work that informs your research; - A statement of hypotheses or a description of the scope of the technical problem; - Your research plan, outlining stages of system development or series of studies; - The research approach and methodology; - Your results to date (if any) and a description of remaining work; - A statement of research contributions to date (if any) and expected contributions of your PhD work; 2. Advisor Letter: A one-page letter of nomination from the student's PhD advisor. This letter is not a letter of support. Instead, it should focus on the student's PhD plan and how the Doctoral Consortium event might contribute to the student's PhD training and research. 3. CV: A two-page curriculum vitae of the student. All materials should be prepared in PDF format and submitted through the ICMI submission system. = Review Process = The Doctoral Consortium will follow a review process in which submissions will be evaluated by a number of factors including (1) the quality of the submission, (2) the expected benefits of the consortium for 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 multimodal interfaces 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 this year's Doctoral Consortium cohort. We do not expect more than two students to be invited from each institution to represent a diverse sample. Women and other underrepresented groups are especially encouraged to apply. = Financial Support = The conference is pleased to offer partial financial support for doctoral students participating in the Doctoral Consortium and attending the conference. Only students who apply and are accepted for participation in the Doctoral Consortium can be considered for financial support. The number and size of the offers of financial support are contingent upon the number of invited student participants. = Attendance = All authors of accepted submissions are expected to attend the Doctoral Consortium and the main conference poster session. The attendees will present their PhD work as a short talk at the Consortium and as a poster at the conference poster session. A detailed program for the Consortium and the participation guidelines for the poster session will be available after the camera-ready deadline. = Process = ? Submission format: Four-page extended abstract using the ACM format ( https://www.acm.org/publications/proceedings-template#aL2) ? Submission system: https://new.precisionconference.com/user/login?society=sigchi/ ? Selection process: Peer-Reviewed ? Presentation format: Talk on consortium day and participation in the conference poster session ? Proceedings: Included in conference proceedings and ACM Digital Library ? Doctoral Consortium Co-chairs: Juliet Haarman (University of Twente) Emily Mower Provost (University of Michigan) and Catharine Oertel (TU Delft). = Important Dates = *Submission deadline: July 5, 2020 (23:59PM, PST)* Notifications: August 10, 2020 Camera-ready: September 2nd, 2020 Doctoral Consortium date: October 25, 2020 = Questions? = For more information and updates on the ICMI 2020 Doctoral Consortium, visit the Doctoral Consortium page of the main conference website ( http://icmi.acm.org/2020/index.php?id=cfdc) For further questions, contact the Doctoral Consortium co-chairs: - Emily Mower Provost (emilykmp at umich.edu) - Catharine Oertel (C.R.M.M.Oertel at tudelft.nl) - Juliet Haarman (j.a.m.haarman at utwente.nl) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ilya.nemenman at emory.edu Mon Jun 22 11:34:39 2020 From: ilya.nemenman at emory.edu (Nemenman, Ilya) Date: Mon, 22 Jun 2020 15:34:39 +0000 Subject: Connectionists: inaugural symposium of the Simons-Emory International Consortium on Motor Control, Friday, June 26 from 10am-1pm EDT Message-ID: Dear Colleagues (with apologies to those who have already received this message via other channels), We are pleased to announce the inaugural symposium of the Simons-Emory International Consortium on Motor Control (http://www.internationalmotorcontrol.org), which will take place Friday, June 26 from 10am-1pm EDT (see attached). We hope you will join us for this online meeting. Speakers will deliver 10 minute talks (each followed by 10 minutes of discussion) addressing this question: "What tools are we missing to understand motor control, and what could we learn if we had them?? Speakers: Amy Bastian (Kennedy Krieger Institute) Rui Costa (Columbia University) Amy Orsborn (U Washington) Chethan Pandarinath (Emory University and Georgia Tech) Abigail Person (U Colorado) Andrew Pruszynski (Western University) Flip Sabes (UCSF and Neuralink) Lena Ting (Emory University and Georgia Tech) Discussants: Gordon Berman (Emory University) Megan Carey (Champalimaud Centre for the Unknown) Ilya Nemenman (Emory University) Sam Sober (Emory University) Registration link: https://tinyurl.com/emorysimons The workshop will be streamed at the Emory Theory and Modeling of Living Systems YouTube channel, where you will also be able to ask questions via live chat (Google account required for Q&A): https://www.youtube.com/c/EmoryTMLS If last minute changes to streaming are required, a notification will be sent to all registered participants. Thank you very much, and we look forward to seeing you there, Samuel Sober Director, Simons-Emory International Consortium on Motor Control Gordon Berman co-Director, Simons-Emory International Consortium on Motor Control Amanda L Jacob Operations Manager, Simons-Emory International Consortium on Motor Control [cid:561AD848-9554-4C30-B558-E0A11CC1A5BA] ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PastedGraphic-2.tiff Type: image/tiff Size: 4491288 bytes Desc: PastedGraphic-2.tiff URL: From lpandolfo at uniss.it Tue Jun 23 05:15:24 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Tue, 23 Jun 2020 11:15:24 +0200 Subject: Connectionists: [CfP] ICLP DC 2020 - 16th Doctoral Consortium on Logic Programming Message-ID: <8be0afb0-4766-bec4-6f17-45a1d4e14ae0@uniss.it> *** ICLP DC 2020 - 16th Doctoral Consortium (DC) on Logic Programming *** The 16th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The preliminary website of the DC can be found at: https://sites.google.com/view/iclp-dc-2020/iclp-2020-doctoral-consortium The DC will take place during the 36th International Conference on Logic Programming (ICLP) https://iclp2020.unical.it/ (September 18-24, 2020), hosted by the University of Calabria, Italy, as a fully virtual event. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Important Dates Paper submission: July 11, 2020 Notification: July 25, 2020 Camera-ready copy: August 6, 2020 DC presentations: Sunday, September 20, 2020 (fully virtual event) However, DC students are highly recommended to attend the Autumn School on Logic Programming and Constraint Programming on: Friday and Saturday, September 18-19, 2020: https://sites.google.com/view/iclp-dc-2020/autumn-school-on-logic-programming Audience The DC is designed for students currently enrolled in a Ph.D. program, though we are also open to exceptions (e.g., students currently in a Master's program and interested in doctoral studies). Students at any stage in their doctoral studies are encouraged to apply for participation in the DC. Applicants are expected to conduct research in areas related to logic and constraint programming; topics of interest include (but are not limited to): Theoretical Foundations of Logic and Constraint Logic Programming Sequential and Parallel Implementation Technology Static and Dynamic Analysis, Abstract Interpretation, Compilation Technology, Verification Logic-based Paradigms (e.g., Answer Set Programming, Concurrent Logic Programming, Inductive Logic Programming) Innovative Applications of Logic Programming Submissions by students who have presented their work at previous ICLP DC editions are allowed, but should occur only if there are substantial changes or improvements to the student's work. The DC offers participants a convenient, more informal way to interact with established researchers and fellow students, through presentations, question-answer sessions, panel discussions, and invited presentations. The Doctoral Consortium will also provide the possibility to reflect - through short activities, information sessions, and discussions - on the process and lessons of research and life in academia. Each participant will give a short, critiqued, research presentation. Discussants Renowned experts and researchers in the fields of logic and constraint programming will join in evaluating submissions and will participate in the DC, providing valuable feedback to DC participants. Goals To provide doctoral students working in the fields of logic and constraint programming with a friendly and open forum to present their research ideas, listen to ongoing work from peer students, and receive constructive feedback. To provide students with relevant information about important issues for doctoral candidates and future academics. To develop a supportive community of scholars and a spirit of collaborative research. To support a new generation of researchers with information and advice on academic, research, industrial, and non-traditional career paths. Submission Details The DC is designed for students currently enrolled in a Ph.D. program, however Master's students who are actively involved in research (please see the list of topics below) can also participate in the DC program. Applicants are expected to conduct research in areas related to logic and constraint programming. Topics included, but not limited to: Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. Languages: Concurrency, Objects, Coordination, Mobility, Higher Order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming Techniques. Declarative programming: Declarative program development, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. Implementation: Virtual machines, Compilation, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. Related Paradigms and Synergies: Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Answer Set Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming. Applications: Databases, Big Data, Data integration and federation, Software engineering, Natural language processing, Web and Semantic Web, Agents, Artificial intelligence, Computational life sciences, Education, Cybersecurity, and Robotics. Submissions of the research summary must be made in EPTCS format (http://info.eptcs.org/) and submitted via EasyChair. All papers must be written in English and should be between 5 and 10 pages. For all accepted DC papers, the student is required to attend the DC program and give a presentation during the DC. A program committee consisting of experts in various areas related to logic and constraint programming reviews the submissions. Papers are reviewed by at least two, and usually three, referees. The submission package should consist of the research summary in the format mentioned above, a short vita or cover letter of the applicant, a letter of recommendation from applicant's faculty advisor, and one paragraph statement outlining how the school will benefit the applicant. All material is to be submitted electronically, in PDF format on the Easychair system. Easychair link: https://easychair.org/conferences/?conf=iclp20200 (Doctoral Consortium track) Research summary (make sure to include your complete name, address, and affiliation): The body of your research summary (no more than 10 pages, but 5 is fine as well!) should provide a clear overview of your research, its potential impact, and its current status. You are encouraged to include the following sections: Introduction and problem description Background and overview of the existing literature Goal of the research Current status of the research Preliminary results accomplished (if any) Open issues and expected achievements Bibliographical references Review Criteria The DC program committee will select participants based on their anticipated contribution to the DC objectives. Participants typically have settled on their thesis directions and have their research proposal accepted by their thesis committee. Students will be selected based on clarity and completeness of their submission package, relevance of their research area w.r.t. the focus of ICLP, stage of research, recommendation letter, and evidence of promise towards a successful career in research and academia, such as published papers or technical reports. Registration Registration is part of the ICLP 2020 registration Registration costs for ICLP will be lower than usual since it is virtual this year. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Program co-chairs: Bart Bogaerts, Vrije Universiteit Brussel Daniela Inclezan, Miami University Program Committee TBA -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From m.biehl at rug.nl Tue Jun 23 08:29:14 2020 From: m.biehl at rug.nl (Michael Biehl) Date: Tue, 23 Jun 2020 14:29:14 +0200 Subject: Connectionists: Post-doc position, University of Groningen Message-ID: Dear Connectionists. Apologies for cross-postings. A *Post-doc position for 1 to 3 *years is available in the Intelligent Systems of the University of Groningen, The Netherlands, see: www.cs.rug.nl/is *Research: *predictive analytics for stock prices, using various methods for time series analysis, including Neural Networks, Machine Learning and Pattern Recognition methods, use of time series plus fundamental stock performance data, deep learning, inclusion of factual knowledge, NLP. Co-supervision of a PhD student. *Teaching: *CS courses, e.g. Parallel Computing, Pattern Recognition. For further information contact: *Prof. N. Petkov, e-mail n.petkovrugnl* -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From hcomp.publicity at gmail.com Tue Jun 23 13:31:10 2020 From: hcomp.publicity at gmail.com (HCOMP Publicity) Date: Tue, 23 Jun 2020 19:31:10 +0200 Subject: Connectionists: HCOMP 2020: Call for Doctoral Consortium Message-ID: * We apologize for cross-posting * *** Covid-19 announcement *** The HCOMP organisers are monitoring the ongoing situation around Covid-19 closely. We plan to hold the conference at the same dates, either online, or, if it?s safe and the restrictions allow it, at the planned venue in the Netherlands. We aim to disclose further details in a few months. In the meantime, we?re looking forward to your submissions! *** HCOMP 2020: Call for Doctoral Consortium *** ? Hilversum, the Netherlands ? October 26-28 2020 ? Website: https://www.humancomputation.com ? Twitter: @hcomp_conf IMPORTANT DATES - ALL TIMES ARE MIDNIGHT CEST (AMSTERDAM TIME) ? July 3: Doctoral Consortium applications due ? July 31: Doctoral Consortium notifications sent ? October 26: Doctoral Consortium at HCOMP-20 HCOMP?s annual Doctoral Consortium provides doctoral students with a unique opportunity to meet each other and experienced researchers in the field. Students will be mentored by a group of faculty who are leaders in the diverse specialties that make up the HCOMP field. The objectives of the Doctoral Consortium are to provide students with an opportunity: ? To present and discuss their research with experienced researchers: the Doctoral Consortium Mentors; ? To establish a supportive community, including other doctoral students at a similar stage of their dissertation research; ? To provide a platform for broader exposure for their research, both in general and in support of future a job search. AREAS OF INTEREST HCOMP is unique in the diversity of disciplines it draws upon, and contributes to, ranging from computer science, artificial intelligence, and human-computer interaction, to economics and the social sciences, all the way to digital humanities, policy, and ethics. This year, we especially encourage works that generate new insights into the quality (or qualities) of human-annotated datasets, including elements such as reliability and replicability of human computation and crowdsourcing experiments, novel metrics for aggregation of results, and holistic approaches to deal with bias, fairness, and interpretability. ELIGIBILITY Applicants must be currently enrolled in a full-time PhD program and have written, or be close to completing, a thesis proposal (or equivalent). We will give preference to students who have proposed or are about to propose but are far enough from completing their thesis that the feedback they receive at the event can impact their work. Before submitting, students should discuss this criterion with their advisor or supervisor. ATTENDANCE Those accepted are required to present their work at the Doctoral Consortium. Participants will also likely be required to present a poster on their work during the poster session at the main conference. SELECTION Submissions will be reviewed by a Program Committee of Doctoral Committee Mentors, with selection based upon the expected potential of both the student and their proposed work, as well as the expected benefit to the student from participation. Priority will be given to students whose research goes beyond locally available expertise at their home institutions. FINANCIAL SUPPORT More information about financial support coming soon. APPLICATION Applicants must submit a solely-authored paper in English containing: 1) a Doctoral Research Overview; and 2) a Supplemental Paragraph. DOCTORAL RESEARCH OVERVIEW. Please summarize your doctoral research, including the following sections: ? Motivation for the proposed research; ? Background and related work (including key references); ? Description of the proposed research, including key research questions and planned methodology to be used for investigating these research questions; ? Proposed experiments if appropriate; Any preliminary evaluation and findings are welcomed, but this is not required.; ? Specific research issues and/or challenges (do not skip these; the consortium is about helping you solve issues, not boasting about the issues you already solved!). SUPPLEMENTAL PARAGRAPH. Please write a paragraph explaining: ? Why you want to participate in the consortium at this point in your doctoral studies and how you expect to benefit from the consortium; ? The status of your dissertation proposal (writing, submitted, presented, or approved); ? Your expected (approximate) defense date. LENGTH AND ORGANIZATION. Your paper should be no more than 4 pages in total: 3 pages for the Doctoral Research Overview (including all figures and references), and the 4th page being the Supplemental Paragraph. The first page must contain the title of the paper, full author name, affiliation and contact details, an abstract of up to 250 words, and up to 3 keywords describing the research topic areas. FORMATTING. Papers must be formatted in AAAI two-column, camera-ready style; please refer to the AAAI 2019 Author Kit for details. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5? x 11?) paper, using Type 1 or TrueType fonts. It is the responsibility of the student to ensure that their submission uses no unusual formatting and is printable on a standard printer. The AAAI copyright block is not required for works-in-progress or demo submissions, as they are not included in the formal proceedings. Please see below for information regarding dissemination. SUBMISSION. Electronic submission through the HCOMP-20 EasyChair (https://easychair.org/conferences/?conf=hcomp2020 ) paper submission site is required on or before the deadline listed above. We cannot accept submissions by e-mail or fax. Authors will receive confirmation of receipt of their submissions, including an ID number, shortly after submission. HCOMP will contact authors again only if problems are encountered with papers. DISSEMINATION. Submissions will be distributed only to mentors and other attendees of the doctoral consortium. Proceedings of the Doctoral Consortium will NOT be archived. As such, students may freely submit their research contributions for official publication in other venues. Participant names and university affiliations, as well as paper titles and abstracts, will be publicized on the conference website and in the conference program for the poster session. QUESTIONS? Please contact the Doctoral Consortium Chairs. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wnut.sharedtask.covid19extract at gmail.com Tue Jun 23 15:24:50 2020 From: wnut.sharedtask.covid19extract at gmail.com (W-NUT 2020 Shared Task 3) Date: Tue, 23 Jun 2020 15:24:50 -0400 Subject: Connectionists: Shared Task on COVID-19 Event Extraction at EMNLP 2020 Workshop on User-generated Text Message-ID: Shared Task on COVID-19 Event Extraction from Twitter at EMNLP 2020 Workshop on User-generated Text http://noisy-text.github.io/2020/extract_covid19_event-shared_task.html We invite everyone interested in information extraction, social media analysis and computational social science to take part in the shared task on "Extracting COVID-19 Events from Twitter". For this task, participants are asked to develop systems that automatically extract COVID-19 related events, including positive test results, denied access to testing, and more. We are providing annotated training data, code for baseline model, and evaluation scripts. The system description papers will be peer-reviews and published as part of the EMNLP 2020 Workshop Proceedings (ACL Anthology). == Important Dates == Data available: June 22, 2020 Evaluation window: Sept. 7, 2020 - Sept. 11, 2020 System description papers submitted: Sept. 21, 2020 Papers reviewed: Sept. 30, 2020 Papers camera ready: Oct. 8, 2020 Workshop day: Nov. 19, 2020 (as part of the EMNLP 2020 conference, virtual online) == Shared-Task Organizers = Shi Zong (Ohio State University) Wei Xu (Ohio State University ? Georgia Tech) Alan Ritter (Ohio State University ? Georgia Tech) More details on the EMNLP conference and workshop -- http://noisy-text.github.io/ (submission deadline for the main workshop is Aug. 25, 2020.) From risto at cs.utexas.edu Tue Jun 23 14:05:25 2020 From: risto at cs.utexas.edu (Risto Miikkulainen) Date: Tue, 23 Jun 2020 11:05:25 -0700 Subject: Connectionists: Evolutionary AI site; COVID-19 intervention demo Message-ID: <6C5691E6-F605-46E5-AFC7-B5263096C47D@cs.utexas.edu> The AI research group at Sentient has moved to Cognizant Technology solutions, and we have a new website, https://evolution.ml. In particular, the earlier content, such as the video interviews with 17 academic and industry leaders on "The Future of AI", is there, as well as the "Evolution is the New Deep Learning" microsite. There is also a new site on decision making (https://evolution.ml/esp), featuring research on "Evolutionary Surrogate-assisted Prescription." The goal is to extend AI from predicting what will happen to prescribing what we should do about it. The idea is to first train a predictor neural network through supervised learning, and then use it as a surrogate to evolve a prescriptor neural network to make good decisions. The site features papers, visualizations, and demos on various game domains (including FlappyBird!) showing how this approach can be sample-efficient, reliable, and safe in sequential decision tasks. A major new part of the site focuses on a COVID-19 application (https://evolution.ml/esp/npi): It demonstrates how the same technology can be used to model the potential effects of non-pharmaceutical intervention (NPI) strategies to contain and mitigate the pandemic. The predictor is trained with historical data on the number of cases and the NPIs over time in various countries, i.e. restrictions on schools and workplaces, public events and gatherings, and transportation. A Pareto front of prescriptors is then evolved to discover the best tradeoffs between minimizing cases and restrictions. To illustrate this principle, the site includes an interactive demo: you can explore how, given your preferred tradeoff, the pandemic could be contained and mitigated in different countries. We invite you to explore the "evolution.ml" site---and perhaps also bring your own expertise in AI to help deal with COVID-19! From Phil.Garner at idiap.ch Wed Jun 24 05:46:51 2020 From: Phil.Garner at idiap.ch (Phil Garner) Date: Wed, 24 Jun 2020 11:46:51 +0200 Subject: Connectionists: PhD position in Low Level Mechanisms of Language Evolution Message-ID: <723abb9e-5c95-e64b-941d-2c8eccaa1250@idiap.ch> Dear Colleagues, There is a fully funded PhD position open at Idiap Research Institute on Low Level Mechanisms of Language Evolution. Recently, Idiap has had some success in incorporating physiological processes into backpropagation-style neural architectures. This allows the processes to be trained in the context of the larger network whilst giving the network the capability to recognise and reproduce physiological functions in a natural manner. In this project, we will apply this technique to the human cochlea and its interface with low level neural mechanisms. We are particularly interested in the efferent pathway from the low level neurological system back to the cochlea. This will allow us to investigate the resulting non-linear feedback relationship. For more information, and to apply, please follow this link: http://www.idiap.ch/education-and-jobs/job-10284 Idiap is located in Martigny in French speaking Switzerland, but functions in English and hosts many nationalities. PhD students are registered at EPFL. All positions offer quite generous salaries. Martigny has a distillery and a micro-brewery and is close to all manner of skiing, hiking and mountain life. There are other open positions on Idiap's main page https://www.idiap.ch/en/join-us/job-opportunities Sincerely, -- Phil Garner http://www.idiap.ch/~pgarner -- Phil Garner http://www.idiap.ch/~pgarner From lpandolfo at uniss.it Wed Jun 24 11:01:16 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Wed, 24 Jun 2020 17:01:16 +0200 Subject: Connectionists: [2nd CfP] CAUSAL 2020 - Workshop on Causal Reasoning and Explanation in Logic Programming Message-ID: [Apologies if you receive multiple copies of this email. Please distribute to interested parties.] Workshop on Causal Reasoning and Explanation in Logic Programming ????????????????????????????? CALL FOR PAPERS ?????????????????????????? *** CAUSAL 2020 *** ????????????????????????? (September 17 or 18, 2020) ???? Workshop on Causal Reasoning and Explanation in Logic Programming ????????? CAUSAL 2020 is a workshop co-located withICLP2020 ???????????????? in University of Calabria, Rende, Italy. *NOTE ABOUT COVID-19: We will follow advice from the ICLP2020 organizers on the situation, and we will revise our workshop timeline and other procedures accordingly if needed.* CAUSAL 2020 IMPORTANT DATES ------------------------- * Paper submission: July 15th 2020 * Notification: July 30th 2020 * Final Versions: August 15th 2020 * Workshop Date: September 17th or 18th 2020 ------------------------ Sophisticated causal reasoning has long been prevalent in human society and continues to have an undeniable impact on the advancement of science, technology, medicine, and other significant fields. From the development of ancient tools to modern roots of causal analysis in business and industry, reasoning about causality and having the ability to explain causal mechanisms enables us to identify how an outcome of interest came to be and gives insight into how to bring about, or even prevent, similar outcomes in future scenarios. This workshop aims to bring together researchers and practitioners of logic programming with a dedicated focus on methods and trends emerging from the study of causality and explanation. We welcome the submission of papers on systems, tools, and applications of logic programming methods for causal reasoning and explanation. In particular, we encourage submissions presenting recent developments, including works in progress. The workshop will present the latest research and application developments in these areas and provide opportunities to discuss current and future research directions and relationships to other fields (e.g. Machine Learning, Explainable AI, Diagnosis, ?Natural Language Processing and Understanding, Philosophy of Science). An important expected outcome of this workshop is to collect first-hand feedback from theICLP community about the role and placement of causal reasoning and explanation in the landscape of modern computer theory as well as in the software industry. TOPICS ------ Topics of interests include (but are not limited to): * Modeling causal theories in logic programming * Formalization of types of causes: sufficient, necessary, actual, etc * Causality, temporal reasoning and action theories * Causality and counterfactual reasoning * Causality, learning and experimental design * Causality and probability * Causality and equivalence * Causality and ontology * Relating LP based causality and Causal Networks * Challenging problems and benchmark examples * Justifications and argumentation * Explanations for diagnosis and debugging * Tools, systems and applications Submissions must describe original research and be prepared using the Springer LNAI/LNCS format and should be no longer than 13 pages. https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines Please submit your paper via EasyChair: https://easychair.org/conferences/?conf=causal2020 At least one co-author of each accepted paper must register for and attend the workshop. Please check theICLP2020 website for registration procedure and fees. https://iclp2020.unical.it/ ORGANIZERS ---------- Emily LeBlanc, US Naval Research Lab, USA,emily.leblanc at nrl.navy.mil Joost Vennekens, KU Leuven, Belgium Tran Cao Son, New Mexico State University, USA Pedro Cabalar, Corunna University, Spain Jorge Fandi?o, University of Potsdam, Germany Marcello Balduccini, Saint Joseph's University, USA Yuliya Lierler, University of Nebraska at Omaha, USA -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From francois.fleuret at unige.ch Wed Jun 24 16:15:06 2020 From: francois.fleuret at unige.ch (=?UTF-8?Q?Fran=c3=a7ois_Fleuret?=) Date: Wed, 24 Jun 2020 22:15:06 +0200 Subject: Connectionists: Five open PhD positions at the University of Geneva in the field of deep machine learning Message-ID: The Machine Learning Group at the [1]University of Geneva, headed by [2]Prof. Francois Fleuret, has five open PhD positions in the field of deep machine learning, with a particular interest for reinforcement learning, interpretability, density models in large dimension, anomaly detection, and computational reduction. These positions are funded by the Swiss National Science Foundation and the University of Geneva, and salaries are highly competitive. Ideal starting time is Fall 2020 but can be delayed until early 2021. Applicants must be seasoned programmers used to development with modern development tools and machine learning frameworks (e.g. git, numpy, PyTorch, TensorFlow, JAX), and have a strong background in mathematics, in particular in probabilities, signal processing, optimization, and algorithmic. Application should be done on-line by filling the form https://fleuret.org/francois/apply_form.html Founded in 1559, the [4]University of Geneva is the third largest university in Switzerland by number of students, and ranked second in Switzerland according to the [5]Shanghai Ranking of World Universities 2019. The [6]city of Geneva is centrally located in Europe, host of [7]numerous international organizations (e.g. UN, WHO, WIPO, WTO, ICRC, CERN), and provides an ideal environment for foreign students and researchers. Links: 1. https://www.unige.ch/en/ 2. https://fleuret.org/francois/about.html 3. https://fleuret.org/francois/apply_form.html 4. https://www.unige.ch/en/ 5. http://www.shanghairanking.com/ARWU2019.html 6. https://en.wikipedia.org/wiki/Geneva 7. https://en.wikipedia.org/wiki/List_of_international_organizations_based_in_Geneva -- Prof. Fran?ois Fleuret https://fleuret.org/francois From rava at ens.fr Thu Jun 25 06:49:36 2020 From: rava at ens.fr (Rava A. da Silveira) Date: Thu, 25 Jun 2020 12:49:36 +0200 Subject: Connectionists: ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2020 Message-ID: *CN**EURO **2020* *Theoretical and Computational Neuroscience Summer School* *17 to 23 August 2020 ? Online, hosted by Tsinghua University, Beijing* http://brain.tsinghua.edu.cn/CNeuro *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists, as the complex algorithmics of brain function and the intricate interactions among neurons cannot be approached with experiments alone. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The course will bring together leading scientists in the field, who will deliver lectures, take part in small-group discussions, and share their personal experience and views on a range of research topics. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. The summer school will serve as a pedagogical introduction to some of the methods particularly relevant to exploring these connections. *Course Structure and Curriculum* Each day will include three hours of lectures as well as two hours of discussions among students and faculty, in small groups. Topics will touch upon the biophysics and dynamics of neurons and network, neural coding, models of learning and other cognitive function, as well as machine learning and Bayesian approaches. There will be the possibility for students to work on problem sets and initiate independent projects. *Faculty* Rava Azeredo da Silveira (ENS) Stella Christie (Tsinghua University) Damon Clark (Yale University) Carina Curto (Penn State University) Ralf Haefner (University of Rochester) Yu Hu (HKUST) Daniel Lee (Cornell University) Songting Li (Shanghai JiaoTong University) Zhaoping Li (MPI of Biologial Cybernetics) Cristina Savin (NYU) Eric Shea-Brown (University of Washington) Sara Solla (Northwestern University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) Hang Zhang (Peking University) Kechen Zhang (Johns Hopkins University) Douglas Zhou (Shanghai JiaoTong University) *Application and deadline* Please submit CV and personal statement by 15 July 2020, at http://brain.tsinghua.edu.cn/CNeuro. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bnuzhanglei2008 at gmail.com Thu Jun 25 08:47:55 2020 From: bnuzhanglei2008 at gmail.com (Lei Zhang) Date: Thu, 25 Jun 2020 14:47:55 +0200 Subject: Connectionists: Tenure-Track Assistant Professor in Professorship in Cognitive Neuroscience of brain-microbiome interaction (University of Vienna) Message-ID: (my apologies for cross-posting) Dear colleagues, The Vienna Cognitive Science Hub is looking for a Tenure-Track Professorship in Cognitive Neuroscience of brain-microbiome interaction. The application deadline is 23.09.2020. The candidate for the tenure track position should have a strong focus on the translational and integrative potential of human cognitive neuroscience, at the interface of (social) brain, cognition, their disorders, and the microbiome. Research should be building upon a strong conceptual framework and interdisciplinarity. The methodological approach should focus on the interplay between neuro-cognitive processes and neural codes, and their relation to biological regulation systems driven by the microbiome, in humans. Thematically, the focus should be on basic mechanistic research in the domains of (social) emotion and cognition, as well as their disorders, preferentially but not necessarily on topics such as social interaction, affiliation, or learning and memory. While basic in nature, the research should hold potential to advance the translational understanding of mental and cognitive disorders, such as depression and autism, or of aging-related diseases, such as Alzheimer?s disease, or Frontotemporal Dementia, respectively. The position provides excellent opportunities to strengthen cross-institutional collaborative initiatives within the domain of neuroscience and microbiome research. [Job Flyer] https://bit.ly/3i2OTU8 [Full Description] https://bit.ly/2Yxwwza Contact for questions regarding the advertisement: peter.rantasa at univie.ac.at Best wishes, Lei --- *Dr. Lei Zhang* Postdoc Social, Cognitive & Affective Neuroscience Unit Department of Cognition, Emotion, and Methods in Psychology Faculty of Psychology University of Vienna Liebiggasse 5, 1010 Vienna, Austria e: lei.zhang at univie.ac.at w: lei-zhang.net t: @lei_zhang_lz -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Jun 25 10:00:30 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Thu, 25 Jun 2020 17:00:30 +0300 Subject: Connectionists: Invitation to Summer short e-course on Deep Learning and Computer Vision for Autonomous Systems 2020, 17-18th August 2020 References: <000401d64aed$c61ca940$5255fbc0$@csd.auth.gr> Message-ID: <00ca01d64af8$fd69ea10$f83dbe30$@csd.auth.gr> Dear Autonomous Systems (cars) engineers, scientists and enthusiasts, you are welcomed to register in the 'Summer short e-course on Deep Learning and Computer Vision for Autonomous Systems 2020' with applications on autonomous cars, drones and marine vessels. It will take place on 17-18/8/2020 as an e-course (due to COVID-19 cicrumstances) hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable everybody to study at own pace. The short e-course consists of 16 1-hour lectures organized in two parts (one per day): Part A lectures provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to target detection and tracking, autonomous systems communications and embedded CPU/GPU CVML computing environments. They also contain application-oriented lectures on autonomous drones, cars and marine vessels (e.g. for land/marine surveillance, search&rescue missions, infrastructure/building inspection and modeling). You can use the following link for course registration: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/ Early registration cutoff date is the 15th July 2020. Lecture topics, sample lecture ppts and videos can be found therein. For questions, please contact: Ioanna Koroni The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Course description Part A (8 hours) 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Introduction to neural networks, Perceptron, 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B (8 hours) 1. Localization and mapping 2. Deep learning for object/target detection 3. Object tracking and 3D localization 4. CVML software development tools 5. Fast convolution algorithms 6. Drone mission planning and control 7. Introduction to car vision 8. Introduction to autonomous marine vehicles Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml From marcin at amu.edu.pl Thu Jun 25 18:23:17 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 26 Jun 2020 00:23:17 +0200 Subject: Connectionists: One week left; FINAL CFP: FedCSIS 2020; IEEE #49059; IEEE DL Publication; SCOPUS indexing; video-based conference; deadline: July 3, 2020 In-Reply-To: <20e1e974-15cf-ec26-9f7c-1c1b9e3e0b09@ibspan.waw.pl> References: <20e1e974-15cf-ec26-9f7c-1c1b9e3e0b09@ibspan.waw.pl> Message-ID: <597c053d-0dfb-0d7b-d19e-f311ebf0a405@amu.edu.pl> CALL FOR PAPERS 15th Conference on Computer Science and Information Systems (FedCSIS?2020) Sofia, Bulgaria, 6-9 September, 2020 www.fedcsis.org Strict submission deadline: July 3, 2020, 23:59:59 pm HST (no extensions) (FedCSIS IEEE conference number: #49059) Accepted regular papers, (video/tele)presented during the conference, will appear as a volume of the ACSIS Series (with ISBN, ISSN and DOI numbers) and will be submitted to the IEEE for inclusion in the Xplore Digital Library. ************************* COVID-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ Please feel free to forward this announcement to your colleagues and associates who could be interested in it. KEY FACTS: expected Proceedings: IEEE Digital Library; indexing: Web of Science (since 2012) and SCOPUS; 22 Technical Sessions in 5 Tracks; Doctoral Symposium; in 2020 a video/telepresence-based conference; conference fee 150 euro. FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and information systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions focused on their scientific and professional interests in computer science and information systems. As in the previous years, FedCSIS 2020 will host a data mining challenge. It will be organized on a, recently re-designed, Knowledge Pit platform: https://knowledgepit.ai/fedcsis20-challenge/ There will also be a special session devoted to this challenge at the FedCSIS 2020 conference. Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science, SCOPUS and other indexing services. This already includes Proceedings of FedCSIS 2018 (we are awaiting the decision for the FedCSIS 2019). Information about FedCSIS indexing / bibliometry / rankings can be found at: https://www.fedcsis.org/2020/indexation. FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2020 consists of five conference Tracks, hosting Technical Sessions: Track 1: Artificial Intelligence * Advanced Artificial Intelligence in Applications (15th Symposium AAIA'20) * Advances in Semantic Information Retrieval (9th International Workshop ASIR'20) * Formal Approaches to Vagueness in Relation to Mereology (1st Symposium FVRM'20) * Language Technologies and Applications (5th Workshop LTA'20) * Computational Optimization (13th Workshop WCO'20) Track 2: Computer Science & Systems * Advances in Computer Science & Systems (ACSS'20) * Actors, Agents, Assistants, Avatars (1st Workshop 4A'20) * Computer Aspects of Numerical Algorithms (13th Workshop CANA'20) * Multimedia Applications and Processing (13th Symposium MMAP'20) * Scalable Computing (11th Workshop WSC'20) Track 3: Network Systems and Applications * Advances in Network Systems and Applications (ANSA'20) * Internet of Things - Enablers, Challenges and Applications (4rd Workshop IoT-ECAW'20) * Cyber Security, Privacy and Trust (1st International Forum NEMESIS'20) Track 4: Information Systems and Technologies * Advances in Information Systems and Technologies (AIST'20) * Data Science in Health (DSH'19) (2nd Special Session DSH'20) * Information Systems Management (15th Conference ISM'20) * Knowledge Acquisition and Management (26th Conference KAM'20) Track 5: Software and System Engineering * Advances in Software and System Engineering (ASSE'20) * Cyber-Physical Systems (7th Workshop IWCPS?20) * Lean and Agile Software Development (4th International Conference LASD'20) * Model Driven Approaches in System Development (6th Workshop MDASD'20) * Software Engineering (40th IEEE Workshop SEW?20) Track 6: DS-RAIT'20 - 7th Doctoral Symposium on Recent Advances in Information Technology KEYNOTE SPEAKERS * Christian Blum, Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain Keynote title: Are you a Hybrid? Yes, of course, everyone is a Hybrid nowadays! * George Boustras, European University Cyprus Keynote title: Critical Infrastructure Protection ? on the interface of safety and security * Hans-Georg Fill, University of Fribourg, Switzerland Keynote title: From Digital Transformation to Digital Ubiquity: The Role of Enterprise Modeling PAPER SUBMISSION AND PUBLICATION + Papers should be submitted by July 3, 2020 (strict deadline, no extensions, submission system is open). + Preprints will be published on a USB memory stick and provided to the FedCSIS participants. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will posted within the conference Web portal (as a link to the ACSIS Book Series volume ? open access). Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). IMPORTANT DATES + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 CHAIRS OF FedCSIS CONFERENCE SERIES Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki CONTACT FedCSIS at: secretariat at fedcsis.org FedCSIS in Social Media: FedCSIS on Facebook: http://tinyurl.com/FedCSISFacebook FedCSIS on LinkedIN: https://tinyurl.com/FedCSISonLinkedIN FedCSIS on Twitter: https://twitter.com/FedCSIS FedCSIS on XING: http://preview.tinyurl.com/FedCSISonXING -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From steve at bu.edu Thu Jun 25 15:07:12 2020 From: steve at bu.edu (Grossberg, Stephen) Date: Thu, 25 Jun 2020 19:07:12 +0000 Subject: Connectionists: Explainable AI: From Deep Learning to Adaptive Resonance Message-ID: Dear Colleagues, There's currently a lot of interest in AI, notably Deep Learning, and in achieving autonomous adaptive intelligence. The following new article summarizes foundational problems of Deep Learning, explains how Adaptive Resonance overcomes them, and outlines a blueprint for achieving autonomous adaptive intelligence: Grossberg, S. (2020). A path towards Explainable AI and autonomous adaptive intelligence: Deep Learning, Adaptive Resonance, and models of perception, emotion, and action. Frontiers in Neurobotics, June 25, 2020. https://doi.org/10.3389/fnbot.2020.00036 Best, Steve Grossberg Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg steve at bu.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Fri Jun 26 04:46:35 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Fri, 26 Jun 2020 16:46:35 +0800 Subject: Connectionists: CIKM2020 - AnalytiCup Challenge Message-ID: * Apologies for cross-posting * ** Announcing CIKM2020 sponsored Analyticup challenge ** ************************************************************************************ *** Alibaba-Tsinghua Adversarial Challenge on Object Detection *** In conjunction with CIKM 2020 (https://cikm2020.org/) (October 19th-23rd, 2020) Organized by our Gold sponsor *Alibaba Group* (Alibaba Security) in partnership with *T**singhua University*. Official task page *here * . ************************************************************************************ Ensuring the AI security is challenging. As the AI defender in the future?Alibaba Security unions Tsinghua University to convene "Challengers" for the safety of AI models based on different data modalities, such as text?image?video?audio and so on. They hope work together to build a safer AI. *Rules of the competition* First, the participating teams need to register between June, 20th 2020 and Sept 2nd, 2020, UTC+8. The competition begins on July 17th 2020, UTC+8 . After successful registration, the participating teams download the data through the Tianchi platform, debug the algorithm locally, and submit the results online. After the start of the competition, our platform will open the interfaces of the model. Then, the participants can attack the model by submitting malicious test examples on the platform to lead the model misjudging. The competition contains target and non-target attacks under different scenarios ranging from text, image, video, sound and other fields. The organizers will also change the models in each new period to simulate different scenes. We recommend the participants to submit constructed adversarial examples as soon as possible after the opening of the competition. Later we will distribute bonuses according to multiple assessment dimensions. We will update the leaderboard every hour, and the team has 10 submission opportunities in one day. The organizing committee will inform the top 10 team to submit the review materials after the official competition deadline (10:00am, UTC + 8 on September 3). *Schedule* 2020-06-22 (UTC+8)?Registration opens 2020-07-17 10:00AM (UTC+8)?Submission starts 2020-09-02 10:00AM (UTC+8)?Registration deadline 2020-09-03 10:00AM (UTC+8)?Submission deadline 2020-09-17 (UTC+8): Challenge award notification 2020-10-19 (UTC+8)?CIKM conference *Awards*?68000 RMB? *TOP1* 30000 RMB *TOP2* 15000 RMB *TOP3* 10000 RMB *TOP4-6* 3000 RMB *TOP7-10* 1000 RMB [image: Banner1.jpg] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Banner1.jpg Type: image/jpeg Size: 1500453 bytes Desc: not available URL: From moritz.grosse-wentrup at univie.ac.at Fri Jun 26 07:25:27 2020 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Fri, 26 Jun 2020 13:25:27 +0200 Subject: Connectionists: Apply for a presentation slot at the 1st Brain-Computer Interface Un-Conference (BCI-UC)! In-Reply-To: <426c80fa-0803-e44e-30d2-ef66da571980@univie.ac.at> References: <591cf8aa-c57b-8aad-1e57-23e2c7fbe9fc@univie.ac.at> <426c80fa-0803-e44e-30d2-ef66da571980@univie.ac.at> Message-ID: Apologies for the mistake in the earlier announcement: Voting begins on Monday, *June* 29. The BCI-UC Organizing Committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Anita Resch Jiachen Xu On 26.06.20 11:35, Moritz Grosse-Wentrup wrote: > Dear Colleagues: > > We're thrilled about your positive responses to the 1st BCI > Un-Conference! If you wish to give a presentation at the un-conference, > you can still submit an abstract via > > https://bciunconference.univie.ac.at/ > > Because there will be no conference proceedings, we also welcome > abstracts that cover already published work! Voting on abstracts > commences on Monday, July 29. > > The BCI-UC Organizing Committee: > Moritz Grosse-Wentrup > Anja Meunier > Philipp Raggam > Anita Resch > Jiachen Xu > > -- 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 moritz.grosse-wentrup at univie.ac.at Fri Jun 26 05:35:46 2020 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Fri, 26 Jun 2020 11:35:46 +0200 Subject: Connectionists: Apply for a presentation slot at the 1st Brain-Computer Interface Un-Conference (BCI-UC)! In-Reply-To: <591cf8aa-c57b-8aad-1e57-23e2c7fbe9fc@univie.ac.at> References: <591cf8aa-c57b-8aad-1e57-23e2c7fbe9fc@univie.ac.at> Message-ID: <426c80fa-0803-e44e-30d2-ef66da571980@univie.ac.at> Dear Colleagues: We're thrilled about your positive responses to the 1st BCI Un-Conference! If you wish to give a presentation at the un-conference, you can still submit an abstract via https://bciunconference.univie.ac.at/ Because there will be no conference proceedings, we also welcome abstracts that cover already published work! Voting on abstracts commences on Monday, July 29. The BCI-UC Organizing Committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Anita Resch Jiachen Xu -- 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 suashdeb at gmail.com Fri Jun 26 23:24:00 2020 From: suashdeb at gmail.com (Suash Deb) Date: Sat, 27 Jun 2020 08:54:00 +0530 Subject: Connectionists: Extension of deadline, ISCMI 2020 (Stockholm) Message-ID: Dear esteemed colleagues, Trust all of you and your near and dear ones are safe and doing well amidst the prevailing unprecedented situation. Pls. stay vigilant and take utmost care. Thanks very much for your overwhelming support for ISCMI20 http://iscmi.us/ , the annual flagship event of IICCI http://iicci.in/ , especially in such tumultuous time. After 1st round of paper submissions which ended today, the Program Chairs have started processing all the submitted papers. At the same time, many peers had expressed disappointment at not being able to finish and submit papers due to the current situation and had solicited more time for doing the needful. By considering the current global scenario & paying heed to their request, we have extended the deadline till 25th July, 2020. Hope if not being able to submit so far, you will avail the opportunity & upload your papers too. Just to refresh your memory, a few pertinent points of ISCMI20 are : *Proceedings* The proceedings of all the previous 6 lSCMl conferences are available at IEEE Xplore. Also the papers of all the hitherto held lSCMl are indexed by Scopus & Ei Compendex Apart from the lEEE published proceedings & availability at Xplore etc., there is scope for a selected subset of papers to be considered for publication at a special issue of the NCAA journal (a Springer publication with 2018 Impact Factor & 5 year Impact Factor of 4.664 & 3.570 respectively https://www.springer.com/journal/521). *Prof. Zadeh Memorial lecture * The annual llCCl Prof. Zadeh Memorial lecture at ISCMI 2020 will be delivered by Prof. B-M Bernadette, the current President of IEEE Computational Intelligence Society (Life Fellow, IEEE & also Fellow, IFSA). Best regards, Suash Deb General Chair, ISCMI20 -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Sun Jun 28 00:51:50 2020 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Sun, 28 Jun 2020 06:51:50 +0200 Subject: Connectionists: PhD/Postdoc in fair and beneficial AI at the university of Oslo Message-ID: <76f87f31-e248-31b0-875d-2224b5d06a9b@gmail.com> We are looking for students and researchers interested in the intersection of statistics, machine learning, decision theory and economics with fairness, privacy and beneficial artificial intelligence more generally at the university of Oslo. Available positions: 3-year PhD position: https://www.jobbnorge.no/en/available-jobs/job/189316/phd-research-fellow-in-fairness-and-beneficial-artificial-intelligence 3-year Postdoc position: https://www.jobbnorge.no/en/available-jobs/job/189317/postdoctoral-research-fellow-in-fairness-and-beneficial-artificial-intelligence Successful applicants will also have the opportunity to work with our sister group at Chalmers University, as well as international partners such as Harvard University and EPFL. To get a flavour of what the group's research on this topic is about, here are some relevant papers from our group: Egalitarian learning in repeated games https://arxiv.org/abs/1906.01609 Calibrated fairness in bandits https://arxiv.org/abs/1707.01875 Bayesian fairness https://arxiv.org/abs/1706.00119 Achieving Privacy in the Adversarial Multi-Armed Bandit https://arxiv.org/abs/1701.04222 Bayesian Differential Privacy through Posterior Sampling https://arxiv.org/abs/1306.1066 For further background, you can take a look at this book and talk about ethical algorithms: https://www.amazon.com/Ethical-Algorithm-Science-Socially-Design/dp/0190948205 and https://www.youtube.com/watch?v=0A5RAqs8DJY Christos Dimitrakakis https://sites.google.com/site/christosdimitrakakis From marcdorn at gmail.com Sun Jun 28 23:07:27 2020 From: marcdorn at gmail.com (Marcio Dorn) Date: Mon, 29 Jun 2020 00:07:27 -0300 Subject: Connectionists: PhD Position: Machine Learning and Bioinformatics Message-ID: Dear Colleagues, http://sbcb.inf.ufrgs.br The Laboratory of Structural Bioinformatics and Computational Biology, Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil is looking for Ph.D. candidates on one of the following topics: - Machine Learning models for Forensic Genetics. - Machine Learning for System Biology, Mutation Detection, and/or Gene Expression Analysis - Interpretability in AI and ML. - Machine Learning and Metaheuristics. Candidates should be highly motivated and have strong academic backgrounds in Computer Science or Bioinformatics and excellent writing skills, including documentation skills to maintain software and support documentation. A high degree of energy, accuracy, and attention to details. The candidate will participate in multidisciplinary studies focusing on the design of novel methods and computational strategies for Bioinformatics problems. Interested candidates are encouraged to contact Prof. Dorn (mdorn at inf.ufrgs.br ) with a short introduction of her/his academic backgrounds, research interests, and career goal. Regards, M?rcio -- Prof. Dr. M?rcio Dorn Federal University of Rio Grande do Sul, Institute of Informatics Structural Bioinformatics and Computational Biology Lab - SBCB - http://sbcb.inf.ufrgs.br Av. Bento Gon?alves 9500, 91501-970 - Porto Alegre, RS - Brasil Pr?dio 72 Sala 217 Tel: +55 51 3308-6824 Lattes CV: http://lattes.cnpq.br/6355224981962273 --- The Post-Graduate Program in Computing at the Institute of Informatics-PPGC, Federal University of Rio Grande do Sul, Porto Alegre, Brazil, is taking PhD applications from June 25th to November 10th. Admission is immediate, starting at the beginning of each month, according to the selection process and registration procedures described in https://www.inf.ufrgs.br/ppgc/en/noticia/coming-soon-call-for-phd-applications/ Detailed information about PPGC, UFRGS Institute of Informatics, areas of research, topics of interest, and advisors can be found on our website https://www.inf.ufrgs.br/ppgc/en. About PPGC / UFRGS ================== PPGC/UFRGS is one of the largest, oldest, and most comprehensive graduate programs in Computing in Brazil. Rated with the maximum grade by CAPES (7 on a scale from 1 to 7), PPGC is the top Program in the South of Brazil, and it is among the best postgraduate programs in Computing in the country. The Program has 47 years of activity, having already graduated more than 2000 MSCs and PhDs. With 58 faculty members, PPGC constantly figures in the main international and national events in the area. We also maintain collaboration projects with several internationally renowned universities. In 2019, 26 of our students took an internship abroad. Also, in 2019, we welcomed 23 post-docs. Since we have international students, 1/3 of the subjects are offered in English. The PPGC is also known for its diversity of areas of expertise. The seven areas of concentration listed below are divided into 18 Research Topics. The Program is hosted at the Institute of Informatics-UFRGS, a recognized center of excellence in research and teaching, with excellent infrastructure. Research areas in PPGC/UFRGS ================================= Visual Computing - Computer Graphics and Data Visualization - Image Processing, Computer Vision and Pattern Recognition - Human-Computer Interaction, Virtual and Augmented Reality Data Science and Software Engineering - Software Engineering - Data Mining, Integration and Analysis - Data Modeling and Business Processes Modeling Electronic and Computer Systems Design - Design of Integrated Circuits and Systems - Electronic Design Automation Tools - Reliability and Fault Tolerance Computer Systems - High-Performance Computing and Distributed Systems - Unconventional Architectures - Embedded systems Computer Theory - Algorithms and Optimization - Logic and Computation Models Artificial intelligence - Machine Learning, Knowledge Representation and Reasoning - Planning, Multiagent Systems and Robotics Computer network - Networks and Services Architectures, Protocols and Management - Cybersecurity Scholarships ================== The Program has several doctoral scholarships available, financed by national funding agencies (CAPES and CNPq), in addition to scholarships for research projects of professors linked to PPGC/UFRGS. The perspective is that all selected doctoral candidates have an immediate scholarship. From Christophe.Guillet at u-bourgogne.fr Mon Jun 29 03:23:58 2020 From: Christophe.Guillet at u-bourgogne.fr (Christophe Guillet) Date: Mon, 29 Jun 2020 09:23:58 +0200 (CEST) Subject: Connectionists: PhD Position on Machine Learning and Virtual relaity In-Reply-To: References: Message-ID: <49297838.5158197.1593415438091.JavaMail.zimbra@u-bourgogne.fr> Dear All, We are seeking excellent candidates for a Ph.D student position in the Virtual Reality team of Lispen lab, France ( [ https://lispen.ensam.eu/ | https://lispen.ensam.eu/ ] ), to work in the general area of virtual reality and focus on sense of presence analysis. For further details and to apply (deadline September 1, 2020) please visit : [ https://doctorat.campusfrance.org/CF202018273 ] [ https://doctorat.campusfrance.org/en/CF202018273 | PhD proposal: Individualized model of interaction by analyzing the sense of presence for the optimization of virtual immersion ] For any questions please contact at [ mailto:christophe.guilet at u-bourgogne.fr | christophe.guillet at u-bourgogne.fr ] or [ mailto:frederic.merienne at ensam.eu | frederic.merienne at ensam.eu ] Best regards, Christophe GUILLET Ma?tre de Conf?rences Responsable [ https://iutchalon.u-bourgogne.fr/licence-professionnelle-techniques-et-activites-de-limage-et-du-son | Licence professionnelle TSI / IUT Chalon sur Sa?ne ] [ http://lispen.ensam.eu/ | Laboratoire Lispen (EA 7515) ] Universit? de Bourgogne / UBFC / Institut Image Institut Image 2, rue Thomas Dumorey 71100 Chalon / Sa?ne Tel: +33 (0) 618 19 43 92 / +33 (0) 385 42 43 15 / +33 (0) 385 90 98 69 De: "Marcio Dorn" ?: connectionists at cs.cmu.edu Envoy?: Lundi 29 Juin 2020 05:07:27 Objet: Connectionists: PhD Position: Machine Learning and Bioinformatics Dear Colleagues, http://sbcb.inf.ufrgs.br The Laboratory of Structural Bioinformatics and Computational Biology, Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil is looking for Ph.D. candidates on one of the following topics: - Machine Learning models for Forensic Genetics. - Machine Learning for System Biology, Mutation Detection, and/or Gene Expression Analysis - Interpretability in AI and ML. - Machine Learning and Metaheuristics. Candidates should be highly motivated and have strong academic backgrounds in Computer Science or Bioinformatics and excellent writing skills, including documentation skills to maintain software and support documentation. A high degree of energy, accuracy, and attention to details. The candidate will participate in multidisciplinary studies focusing on the design of novel methods and computational strategies for Bioinformatics problems. Interested candidates are encouraged to contact Prof. Dorn (mdorn at inf.ufrgs.br ) with a short introduction of her/his academic backgrounds, research interests, and career goal. Regards, M?rcio -- Prof. Dr. M?rcio Dorn Federal University of Rio Grande do Sul, Institute of Informatics Structural Bioinformatics and Computational Biology Lab - SBCB - http://sbcb.inf.ufrgs.br Av. Bento Gon?alves 9500, 91501-970 - Porto Alegre, RS - Brasil Pr?dio 72 Sala 217 Tel: +55 51 3308-6824 Lattes CV: http://lattes.cnpq.br/6355224981962273 --- The Post-Graduate Program in Computing at the Institute of Informatics-PPGC, Federal University of Rio Grande do Sul, Porto Alegre, Brazil, is taking PhD applications from June 25th to November 10th. Admission is immediate, starting at the beginning of each month, according to the selection process and registration procedures described in https://www.inf.ufrgs.br/ppgc/en/noticia/coming-soon-call-for-phd-applications/ Detailed information about PPGC, UFRGS Institute of Informatics, areas of research, topics of interest, and advisors can be found on our website https://www.inf.ufrgs.br/ppgc/en. About PPGC / UFRGS ================== PPGC/UFRGS is one of the largest, oldest, and most comprehensive graduate programs in Computing in Brazil. Rated with the maximum grade by CAPES (7 on a scale from 1 to 7), PPGC is the top Program in the South of Brazil, and it is among the best postgraduate programs in Computing in the country. The Program has 47 years of activity, having already graduated more than 2000 MSCs and PhDs. With 58 faculty members, PPGC constantly figures in the main international and national events in the area. We also maintain collaboration projects with several internationally renowned universities. In 2019, 26 of our students took an internship abroad. Also, in 2019, we welcomed 23 post-docs. Since we have international students, 1/3 of the subjects are offered in English. The PPGC is also known for its diversity of areas of expertise. The seven areas of concentration listed below are divided into 18 Research Topics. The Program is hosted at the Institute of Informatics-UFRGS, a recognized center of excellence in research and teaching, with excellent infrastructure. Research areas in PPGC/UFRGS ================================= Visual Computing - Computer Graphics and Data Visualization - Image Processing, Computer Vision and Pattern Recognition - Human-Computer Interaction, Virtual and Augmented Reality Data Science and Software Engineering - Software Engineering - Data Mining, Integration and Analysis - Data Modeling and Business Processes Modeling Electronic and Computer Systems Design - Design of Integrated Circuits and Systems - Electronic Design Automation Tools - Reliability and Fault Tolerance Computer Systems - High-Performance Computing and Distributed Systems - Unconventional Architectures - Embedded systems Computer Theory - Algorithms and Optimization - Logic and Computation Models Artificial intelligence - Machine Learning, Knowledge Representation and Reasoning - Planning, Multiagent Systems and Robotics Computer network - Networks and Services Architectures, Protocols and Management - Cybersecurity Scholarships ================== The Program has several doctoral scholarships available, financed by national funding agencies (CAPES and CNPq), in addition to scholarships for research projects of professors linked to PPGC/UFRGS. The perspective is that all selected doctoral candidates have an immediate scholarship. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 1024px-Universit?_de_Bourgogne_Logo.svg.png Type: image/png Size: 39719 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 12_LISPEN_AM_72dpi - Copie.jpg Type: image/jpeg Size: 41649 bytes Desc: not available URL: From bernabe at imse-cnm.csic.es Mon Jun 29 08:09:06 2020 From: bernabe at imse-cnm.csic.es (bernabe) Date: Mon, 29 Jun 2020 14:09:06 +0200 Subject: Connectionists: Senior Post-Doc Fellowship Grant in Neuromorphic Computing/Hardware Message-ID: <0b3bc353-795d-8701-6227-5d1c5ef4abda@imse-cnm.csic.es> Dear colleagues, The Neuromorphic Group at the IMSE (Sevilla Microelectronics Institute http://www.imse-cnm.csic.es/neuromorphs) is looking for highly motivated senior post-doc candidates to apply for a Research Felloowship from the Andalusian Government. Candidates must have a PhD degree between 5 and 12 years from the graduation date. The 4-year grant comes with a companion 160k? budget for initial research expenses (for hiring students, technicians, traveling, equipment, or other expenses). Minimum salary is 35k?, while the full salary is negotiable with the hosting institution or research group. The application should include a brief (normalized) CV, a brief summary of the candidate's research activities, and a research proposal at the hosting institution. Applicants interested in presenting a Neuromorphic Computing/Hardware proposal please contact bernabe at imse-cnm.csic.es to jointly prepare the proposal. -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: firma_blb.png Type: image/png Size: 72205 bytes Desc: not available URL: From tobias.pistohl at bcf.uni-freiburg.de Mon Jun 29 07:12:26 2020 From: tobias.pistohl at bcf.uni-freiburg.de (Tobias Pistohl) Date: Mon, 29 Jun 2020 13:12:26 +0200 Subject: Connectionists: Postdoc and PhD positions in EU project on motor control and movement augmentation Message-ID: <335d2694-c09e-2178-b6ad-4bf3ce6c8225@bcf.uni-freiburg.de> *Postdoc and PhD positions in EU project on motor control and movement augmentation* Bernstein Center, University of Freiburg NEXT lab, Universit? Campus Bio-Medico di Roma Department of Bioengineering, Imperial College London Multiple postdoc and PhD positions are available in the labs of Carsten Mehring (University of Freiburg), Domenico Formica and Giovanni di Pino (Universit? Campus Bio-Medico di Roma) as well as Dario Farina and Etienne Burdet (Imperial College London), on motor control and movement augmentation, in the context of the EU project NIMA. The NIMA project aims to develop body, muscle and neural interfaces for controlling additional degrees-of-freedom of supernumerary limbs, devices or computers independently from movements of the natural limbs. We have formed a team of leading experts in neuroscience, neurotechnology, human-machine interfaces, robotics, and ethics from various institutions across Europe (University of Freiburg, Universit? Campus Bio-Medico di Roma, Sorbonne Universit?, Tecnalia Foundation, Imperial College London) to accomplish the following objectives: 1) Pushing the borders of technology by creating non-invasive interfaces with multimodal sensory feedback that will allow effortless control of multiple limbs or objects; 2) Understanding the cognitive and neural mechanisms underlying movement augmentation, how it can be functionally embodied and how this can be facilitated by multimodal feedback, by combining neuromodulation, computational modelling and behavioural experiments; 3) Applying movement augmentation to extend human capacities and preparing the ground for exploitation, using different testbeds; 4) Evaluating the ethical and safety aspects of movement augmentation. Multiple positions are available at the different institutions listed above from October, 1^st 2020 on. Interested applicants with suitable background should submit a CV, a letter of motivation (max. 1 page) and indicate which of the institution(s) they are interested in to Dr. Tobias Pistohl (tobias.pistohl at bcf.uni-freiburg.de ). In case of questions you can contact Dr. Tobias Pistohl or the PIs of the different labs: - Carsten Mehring >, for positions at University of Freiburg - Domenico Formica> and Giovanni Di Pino > for positions at UCBM - Etienne Burdet > and Dario Farina > for positions at Imperial College London The University of Freiburg is in the southwest of Germany close to the French and Swiss borders. Freiburg has a vibrant academic community and our group is part of the Bernstein Center Freiburg (http://www.bcf.uni-freiburg.de), which provide first-class environments for research on Computational Neuroscience and Neurotechnology. NEXTlab at UCBM (www.unicampus.it/next ) is a multidisciplinary research group working at developing new tools and methods to study and model human motor control, and to improve the embodiment of robotic hand prostheses and supernumerary limbs. The group at Imperial College London is pursuing basic and applied research in human interface (https://www.imperial.ac.uk/human-robotics, https://www.imperial.ac.uk/people/d.farina) -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Mon Jun 29 08:01:29 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Mon, 29 Jun 2020 09:01:29 -0300 Subject: Connectionists: ACM IUI 2021: Call for Papers Message-ID: *** ACM IUI 2021: Call for Papers *** * College Station, TX * March 18-21, 2021 * http://iui.acm.org/2021/ * Contact: program2021 at iui.acm.org ## Upcoming deadlines Abstract: Oct 2, 2020 (compulsory) Paper submission: Oct 9, 2020 ## ACM IUI 2021 ACM IUI 2021 is the 26th annual premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) and Artificial Intelligence (AI) communities meet, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is on improving the interaction between humans and digital technology, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ### Why you should submit to ACM IUI While other conferences focus on either the AI or HCI side of this research, we address the complex interaction between the two. We strongly encourage submissions that simultaneously discuss research from both HCI and AI. We also welcome works that focus more on one side or the other, but still highlight the connections between the two. We value papers that contribute methodology or theory for the evaluation of intelligent user interfaces. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contributions. ACM IUI welcomes contribution from all relevant arenas?academia, industry, government, and non-profit organizations?and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. The conference is large enough to be diverse and lively, but small enough to allow for extensive interaction among attendees and easy attendance to the events that the conference offers, ranging from oral paper presentations, poster sessions, workshops, panels and a doctoral consortium for graduate students. ### COVID-19 statement We are monitoring the situation regarding the global pandemic and associated travel restrictions. If needed, we will offer a virtual presentation option if the conference cannot take place due to the global pandemic, or if registered authors from specific parts of the world cannot attend the conference. ## Papers We accept two forms of contributions: full and short papers. They should both make novel contributions to IUI, however full papers should make more substantial and significant contributions, while short papers can contain more focused contributions. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights of IUI 2021". ## Topics IUI topics of interest include, but are not limited to: * Application areas * Internet of Things (IoT) * Education and learning-related technologies * Health and intelligent health technologies * Assistive technologies * Social media and other Web technologies * Mobile applications * Artificial personal assistants * Information retrieval, search, and recommendation systems * Interface types * Affective and aesthetic interfaces * Collaborative interfaces * Speech-based interfaces * AR/VR interfaces * Intelligent wearable and mobile interfaces * Ubiquitous smart environments * Modalities * Agent based interfaces (e.g., embodied agents, virtual assistants) * Multi-modal interfaces (speech, gestures, eye gaze, face, physiological information etc.) * Conversational interfaces * Tangible interfaces * Intelligent visualization * Methods and approaches * Methods for explanations (e.g., transparency, control, and trust) * Persuasive technologies in IUI * Privacy and security of IUI * Planning and plan recognition for IUI * Knowledge-based approaches to user interface design and generation * User Modelling for Intelligent Interfaces * User-Adaptive interaction and personalization * Crowd computing and human computation * Human-in-the loop machine learning * Evaluations of intelligent user interfaces * User experiments * User studies * Reproducibility (including benchmarks, datasets, and challenges) * Meta-analyses * Mixed-methods evaluations ## Dates * Oct 2, 2020: Abstract deadline (compulsory) * Oct 9, 2020: Papers deadline * Dec 14, 2020: Notification * Feb 8, 2021: Camera ready due * Mar 18, 2021: Conference starts ## Submission Guidelines Check the submission guidelines on the conference page: https://iui.acm.org/2021/call_for_papers.html. ## Program Chairs * John O?Donovan, University of California, Santa Barbara * Bart Knijnenburg, Clemson University * Paul Teale, Texas A&M * Jeeeun Kim, Texas A&M * Aaron Adler, Raytheon BBN Technologies * Manoj Prasad, Microsoft * Contact: program2021 at iui.acm.org From alessandro.dausilio at gmail.com Tue Jun 30 06:14:08 2020 From: alessandro.dausilio at gmail.com (Alessandro D'Ausilio) Date: Tue, 30 Jun 2020 12:14:08 +0200 Subject: Connectionists: [JOBS] PhD @ Italian Institute of Technology, Ferrara Message-ID: <419C6408-832D-4952-8F92-779CD04273D6@gmail.com> PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is opening 4 PhD positions for the Academic Year 2020-2021. Research areas: - Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo - Investigation of sensorimotor functions in animal models - Machine learning applications to multimodal brain and speech signals - Human neurophysiology of speech and sensorimotor communication - Cortical recordings in human patients during awake Neurosurgery - Hardware and software development for innovative exploration of brain signals Who: chemists, physicists, materials scientists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists eager to work in an international and multidisciplinary team. Where: The CTNSC (https://www.iit.it/centers/ctnsc-unife ) is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. UNIFE is one of the oldest Universities (founded in 1391) and one of the excellence Universities in Italy nowadays for research. Ferrara is well connected by train and freeway (30-min to Bologna, 40-min to Padua, 60-min to Venice and their airports), bustling with students as it is an affordable University city (https://whc.unesco.org/en/list/733 ). General INFO: http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection DEADLINE: 24 July 2020 Contacts: Luciano Fadiga (CTNSC Director): luciano.fadiga at iit.it Thierry Pozzo: thierry.pozzo at iit.it Fabio Biscarini: fabio.biscarini at iit.it Michele Bianchi: michele.bianchi at iit.it Antonino Casile: antonino.casile at iit.it David Papo: david.papo at iit.it Alessandro D?Ausilio: alessandro.dausilio at iit.it -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1451 bytes Desc: not available URL: From hcomp.publicity at gmail.com Tue Jun 30 06:56:38 2020 From: hcomp.publicity at gmail.com (HCOMP Publicity) Date: Tue, 30 Jun 2020 12:56:38 +0200 Subject: Connectionists: HCOMP 2020: Second Call for Doctoral Consortium Message-ID: <98BA3B98-118C-495C-A89F-CFB02E417DE2@gmail.com> * We apologize for cross-posting * *** Covid-19 announcement *** The HCOMP organisers are monitoring the ongoing situation around Covid-19 closely. We plan to hold the conference at the same dates, either online, or, if it?s safe and the restrictions allow it, at the planned venue in the Netherlands. We aim to disclose further details in a few months. In the meantime, we?re looking forward to your submissions! *** HCOMP 2020: Second Call for Doctoral Consortium *** ? Hilversum, the Netherlands ? October 26-28 2020 ? Website: https://www.humancomputation.com ? Twitter: @hcomp_conf IMPORTANT DATES - ALL TIMES ARE MIDNIGHT CEST (AMSTERDAM TIME) ? July 3: Doctoral Consortium applications due ? July 31: Doctoral Consortium notifications sent ? October 26: Doctoral Consortium at HCOMP-20 HCOMP?s annual Doctoral Consortium provides doctoral students with a unique opportunity to meet each other and experienced researchers in the field. Students will be mentored by a group of faculty who are leaders in the diverse specialties that make up the HCOMP field. The objectives of the Doctoral Consortium are to provide students with an opportunity: ? To present and discuss their research with experienced researchers: the Doctoral Consortium Mentors; ? To establish a supportive community, including other doctoral students at a similar stage of their dissertation research; ? To provide a platform for broader exposure for their research, both in general and in support of future a job search. AREAS OF INTEREST HCOMP is unique in the diversity of disciplines it draws upon, and contributes to, ranging from computer science, artificial intelligence, and human-computer interaction, to economics and the social sciences, all the way to digital humanities, policy, and ethics. This year, we especially encourage works that generate new insights into the quality (or qualities) of human-annotated datasets, including elements such as reliability and replicability of human computation and crowdsourcing experiments, novel metrics for aggregation of results, and holistic approaches to deal with bias, fairness, and interpretability. ELIGIBILITY Applicants must be currently enrolled in a full-time PhD program and have written, or be close to completing, a thesis proposal (or equivalent). We will give preference to students who have proposed or are about to propose but are far enough from completing their thesis that the feedback they receive at the event can impact their work. Before submitting, students should discuss this criterion with their advisor or supervisor. ATTENDANCE Those accepted are required to present their work at the Doctoral Consortium. Participants will also likely be required to present a poster on their work during the poster session at the main conference. SELECTION Submissions will be reviewed by a Program Committee of Doctoral Committee Mentors, with selection based upon the expected potential of both the student and their proposed work, as well as the expected benefit to the student from participation. Priority will be given to students whose research goes beyond locally available expertise at their home institutions. FINANCIAL SUPPORT More information about financial support coming soon. APPLICATION Applicants must submit a solely-authored paper in English containing: 1) a Doctoral Research Overview; and 2) a Supplemental Paragraph. DOCTORAL RESEARCH OVERVIEW. Please summarize your doctoral research, including the following sections: ? Motivation for the proposed research; ? Background and related work (including key references); ? Description of the proposed research, including key research questions and planned methodology to be used for investigating these research questions; ? Proposed experiments if appropriate; Any preliminary evaluation and findings are welcomed, but this is not required.; ? Specific research issues and/or challenges (do not skip these; the consortium is about helping you solve issues, not boasting about the issues you already solved!). SUPPLEMENTAL PARAGRAPH. Please write a paragraph explaining: ? Why you want to participate in the consortium at this point in your doctoral studies and how you expect to benefit from the consortium; ? The status of your dissertation proposal (writing, submitted, presented, or approved); ? Your expected (approximate) defense date. LENGTH AND ORGANIZATION. Your paper should be no more than 4 pages in total: 3 pages for the Doctoral Research Overview (including all figures and references), and the 4th page being the Supplemental Paragraph. The first page must contain the title of the paper, full author name, affiliation and contact details, an abstract of up to 250 words, and up to 3 keywords describing the research topic areas. FORMATTING. Papers must be formatted in AAAI two-column, camera-ready style; please refer to the AAAI 2019 Author Kit for details. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5? x 11?) paper, using Type 1 or TrueType fonts. It is the responsibility of the student to ensure that their submission uses no unusual formatting and is printable on a standard printer. The AAAI copyright block is not required for works-in-progress or demo submissions, as they are not included in the formal proceedings. Please see below for information regarding dissemination. SUBMISSION. Electronic submission through the HCOMP-20 EasyChair (https://easychair.org/conferences/?conf=hcomp2020 ) paper submission site is required on or before the deadline listed above. We cannot accept submissions by e-mail or fax. Authors will receive confirmation of receipt of their submissions, including an ID number, shortly after submission. HCOMP will contact authors again only if problems are encountered with papers. DISSEMINATION. Submissions will be distributed only to mentors and other attendees of the doctoral consortium. Proceedings of the Doctoral Consortium will NOT be archived. As such, students may freely submit their research contributions for official publication in other venues. Participant names and university affiliations, as well as paper titles and abstracts, will be publicized on the conference website and in the conference program for the poster session. QUESTIONS? 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URL: From mrolf at brookes.ac.uk Tue Jun 30 04:29:26 2020 From: mrolf at brookes.ac.uk (Matthias Rolf) Date: Tue, 30 Jun 2020 09:29:26 +0100 Subject: Connectionists: CfP: Special Issue "Computing Morality: Synthetic Ethical Decision Making and Behaviour" Message-ID: <0101b0aa-f0b8-06cc-adf6-5ae5c431fd3f@brookes.ac.uk> Call for contribution to the special issue: "Computing Morality: Synthetic Ethical Decision Making and Behaviour" Submission deadline: 31 September 2020 Website: https://digital-library.theiet.org/files/IET_CCS_CFP_CMSEDMB.pdf Journal: IET Cognitive Computation and Systems Submission information: https://digital-library.theiet.org/content/journals/ccs Description: Complex autonomous systems are now being developed that are capable of making decisions that increasingly have moral implications, potentially causing emotional, physical, psychological harm to humans. Commercial interest and societal needs are accelerating the race to give greater autonomy to machines, giving rise to some new significant challenges to the technology, social science, and humanities communities to collaborate around designing and developing systems with explicit moral competence. The aim of this special issue is to bring together social and technical scientists to tackle the computational and experimental challenges of computing morality. We are particularly interested in interdisciplinary contributions in this area such as experimental psychology and anthropology, as well as computer science and cognitive science. Topics of interest include, but are not limited to: - Machine Ethics - Social and moral learning - Experimental approaches to morality - Applied moral philosophy - Cognitive anthropology - Autonomous moral machines - Cognitive science - Moral psychology - Developmental robotics From m.plumbley at surrey.ac.uk Tue Jun 30 10:51:11 2020 From: m.plumbley at surrey.ac.uk (Mark Plumbley) Date: Tue, 30 Jun 2020 14:51:11 +0000 Subject: Connectionists: Job Vacancies: 3 x Researchers in AI for Sound Message-ID: Dear Connectionists, We are recruiting for three researchers in a new project on AI for Sound. Please forward the information below to any colleagues who may be interested. I would particularly like to encourage applications from women, disabled and Black, Asian & Minority Ethnic candidates, since these groups are currently underrepresented in our area. Many thanks, Mark ------ Job Vacancies: Three Researchers in AI for Sound Location: University of Surrey, Guildford, UK Deadline: Friday 17 July 2020 (23:00 GMT) Applications are invited for three new researchers (two Research Fellows and one Research Engineer) to work full-time on an EPSRC-funded Fellowship project "AI for Sound": https://www.surrey.ac.uk/news/fellowship-advance-sound-new-frontiers-using-ai * Research Fellow in Machine Learning for Sound https://jobs.surrey.ac.uk/025620 * Research Fellow in Design Research for Sound Sensing https://jobs.surrey.ac.uk/025420 * Research Engineer (Research Fellow) in Sound Sensing https://jobs.surrey.ac.uk/025520 The aim of the project is to undertake research in computational analysis of everyday sounds, in the context of a set of real-world use cases in assisted living in the home, smart buildings, smart cities, and the creative sector. The idea is to bring "AI for Sound" technology out of the lab, helping to realize its potential to benefit society and the economy. The Research Fellow in Machine Learning for Sound will investigate advanced machine learning methods applied to sound signals. The Research Fellow in Design Research for Sound Sensing will conduct user requirements and evaluation studies to drive the technology research and to ensure successful development and application of the project technology. The Research Engineer will be responsible for designing and building the hardware and software to be developed in the fellowship. The post-holders will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, and work under the direction of PI (EPSRC Fellow) Prof Mark Plumbley. CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 125 researchers, a grant portfolio of ?24M (?17.5M EPSRC) from EPSRC, EU, InnovateUK, charity and industry, and a turnover of ?7M/annum. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 120 GPUs for deep learning and >1PB of high-speed secure storage. For more information about the posts and how to apply, please visit: * https://jobs.surrey.ac.uk/025620 (Research Fellow in Machine Learning for Sound) * https://jobs.surrey.ac.uk/025420 (Research Fellow in Design Research for Sound Sensing) * https://jobs.surrey.ac.uk/025520 (Research Engineer (Research Fellow) in Sound Sensing) Deadline: Friday 17 July 2020 (23:00 GMT). For informal inquiries, please contact Prof Mark Plumbley https://www.surrey.ac.uk/people/mark-plumbley, m.plumbley at surrey.ac.uk -- Prof Mark D Plumbley Professor of Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk From hcomp.publicity at gmail.com Tue Jun 30 07:41:36 2020 From: hcomp.publicity at gmail.com (HCOMP Publicity) Date: Tue, 30 Jun 2020 13:41:36 +0200 Subject: Connectionists: HCOMP 2020: Call for Work-in-Progress and Demonstration Papers Message-ID: * We apologize for cross-posting * *** Covid-19 announcement *** The HCOMP organisers are monitoring the ongoing situation around Covid-19 closely. We plan to hold the conference at the same dates, either online, or, if it?s safe and the restrictions allow it, at the planned venue in the Netherlands. We aim to disclose further details in a few months. In the meantime, we?re looking forward to your submissions! *** HCOMP 2020: Call for Work-in-Progress and Demonstration Papers *** Hilversum, the Netherlands October 26-28 2020 Website: https://www.humancomputation.com Twitter: @hcomp_conf <> <>IMPORTANT DATES - All times are midnight CEST (Amsterdam time) August 7, 2020: Submission due August 20, 2020: Notification of acceptance September 20, 2020: Final camera-ready papers due <>OVERVIEW The Works-in-Progress and Demonstration track focuses on recent findings or other types of innovative or thought-provoking work, hands-on demonstration, novel interactive technologies and experiences relevant to the HCOMP community. We encourage practitioners and researchers to submit Works-in-Progress & Demo Track as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. To maximise visibility this year accepted Works-in-Progress and Demonstration submissions will also be presented with a 1-2 min PechaKucha presentation dedicated to the Works-in-Progress & Demonstration Track within the HCOMP plenary programme. Submissions are welcome from any area of computer science, artificial intelligence, and human-computer interaction, to economics and the social sciences, all the way to digital humanities, policy, and ethics. This year, we especially encourage work that generate new insights into the ?human computation? side of HCOMP, such as new understandings about human cognition, human-in-the-loop intelligence systems, human-AI interaction and collaboration, algorithmic and interface techniques for augmenting human abilities to perform tasks, and other issues that affect how humans collaborate with AI systems (such as bias, fairness, and interpretability). <>Works-in-progress A Work-in-Progress is a concise report of recent findings or other types of innovative or thought-provoking work relevant to the HCOMP community. The difference between Works-in-Progress and other contribution types is that Work-in-Progress submissions represent work that has not reached a level of completion that would warrant the full Refereed selection process. That said, appropriate submissions should make some contribution to the body of HCOMP knowledge, whether realized or promised. A significant benefit of a Work-in-Progress derives from the discussion between the author and conference attendees that will be fostered by the face-to-face presentation of the work. Work-in-Progress submissions are in the form of a ~2 page extended abstract, see Submission section. <>Demonstrations A demonstration is a high-visibility, high-impact forum of the HCOMP program that allows you to present your hands-on demonstration, share novel interactive technologies, and stage interactive experiences. Demonstrations will showcase this year?s most exciting human computation and collaborative human-AI prototypes and systems. If you have an interesting prototype, system, exhibit or installation, we want to know about it. Sharing hands-on experiences of your work is often the best way to communicate what you have created. The demonstration submission should describe the nature of the system as well as the expected form of interaction with the user and the audience. If you have special infrastructure requirements for the demonstration, please include them in a dedicated paragraph within the submission. Demonstrations submissions are in the form of a ~2 page extended abstract, see Submission section. <>SUBMISSION All submitted Works-in-Progress and Demos must represent original work, not previously published or under simultaneous peer-review for any other peer-reviewed, archival conference or journal. Submissions must be done in the form of up to 2 pages Extended Abstract (references can extend beyond the 2 pages) via the HCOMP-20 EasyChair Website. Submissions to Easychair is required on or before the deadline listed above. We cannot accept submissions by e-mail or fax. Authors will receive confirmation of receipt of their submissions, including an ID number, shortly after submission. HCOMP will contact authors again only if problems are encountered with papers. Inquiries regarding paper receipt must be made no later than August 10. <>Formatting Extended Abstracts must be formatted in AAAI two-column, camera-ready style; please refer to the AAAI 2020 Author Kit for details. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5? x 11?) paper, using Type 1 or TrueType fonts. The AAAI copyright block is not required for works-in-progress or demo submissions, as they are not included in the formal proceedings. Please see below for information about publication. <>Supplemental Materials Authors are invited, but not required, to include supplemental materials such as executables and data files so that reviewers can reproduce results in the paper, images, additional videos, related papers, more detailed explanations, derivations, or results. These materials will be viewed only at the discretion of the reviewers, who are only obligated to read your paper itself. <>NOT Anonymized Authors should include information identifying themselves and their institutions for single-blind review. <>REVIEWS Submissions to the Works-in-Progress & Demonstration Track will be curated. This means that submissions will only be evaluated by the Works-in-Progress & Demonstration chairs (in coordination with other relevant conference chairs). Authors should expect to receive only very light feedback on their submissions. <>PUBLICATION AND PROCEEDINGS Accepted papers will NOT be included in official conference proceedings, and so may be submitted later to other conferences or journals for official publication. Accepted papers will be made available online on the conference website, and a summary of the WiP and Demo session will be provided in the AAAI AI Magazine. <>PRESENTING AT THE CONFERENCE Accepted submissions will be presented at the conference in two main modalities: 1) with a 1-2 min PechaKucha presentation in a plenary session dedicated to the Works-in-Progress & Demonstration Track within the HCOMP plenary programme, and 2) with an author proposed presentation format. Authors can propose their desired presentation format(s) at the time of submission, including (but not limited to) poster, interactive demo, short video, short presentation, or small exhibition booth. The eventual format(s) will be decided in cooperation between authors and conference organizers. Authors are asked to include special requests and requirements at the time of submission by sending an email to the chairs. <>WORK-IN-PROGRESS AND DEMO AWARD HCOMP 2020 will recognize one best Works-in-Progress and one best Demonstration. Announcement of the winners will be done at the conference in a plenary session together with the other conference award. The Works-in-Progress and Demonstration chairs will assess the Works-in-Progress and Demonstrations submissions to determine the winners (considering both quality of paper submission and presentation at the conference). <>CONTACTS Please contact the Works-in-progress and Demonstration Co-Chairs if you have any questions. Anna De Liddo, at anna.deliddo at open.ac.uk Alessandro Checco, at a.checco at sheffield.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From emmanuel.vincent at inria.fr Tue Jun 30 05:44:40 2020 From: emmanuel.vincent at inria.fr (Emmanuel Vincent) Date: Tue, 30 Jun 2020 11:44:40 +0200 Subject: Connectionists: Extended deadline -- SI on Advances in Deep Learning Based Speech Processing -- Deadline: June 30, 2020 Message-ID: NEURAL NETWORKS https://www.journals.elsevier.com/neural-networks Special issue on *Advances in Deep Learning Based Speech Processing * *Extended deadline: August 30, 2020* *Earlier submissions will be handled as they come. Accepted manuscripts will be published without waiting for later submissions.* Deep learning has triggered a revolution in speech processing. The revolution started from the successful application of deep neural networks to automatic speech recognition, and quickly spread to other topics of speech processing, including speech analysis, speech denoising and separation, speaker and language recognition, speech synthesis, and spoken language understanding. This tremendous success has been achieved thanks to the advances in neural network technologies as well as the explosion of speech data and fast development of computing power. Despite this success, deep learning based speech processing still faces many challenges for real-world wide deployment. For example, when the distance between a speaker and a microphone array is larger than 10 meters, the word error rate of a speech recognizer may be as high as over 50%; end-to-end deep learning based speech processing systems have shown potential advantages over hybrid systems, however, they require large-scale labelled speech data; deep learning based speech synthesis has been highly competitive with human-sounding speech and much better than traditional methods, however, the models are not stable, lack controllability and are still too large and slow to be deployed onto mobile and IoT devices. Therefore, new methods and algorithms in deep learning and speech processing are needed to tackle the above challenges, as well as to yield novel insights into new directions and applications. This special issue aims to accelerate research progress by providing a forum for researchers and practitioners to present their latest contributions that advance theoretical and practical aspects of deep learning based speech processing techniques. The special issue will feature theoretical articles with novel new insights, creative solutions to key research challenges, and state-of-the-art speech processing algorithms/systems that demonstrate competitive performance with potential industrial impacts. The ideas addressing emerging problems and directions are also welcome. *Topics of interest* for this special issue include, but are not limited to: ? ? Speaker separation ? ? Speech denoising ? ? Speech recognition ? ? Speaker and language recognition ? ? Speech synthesis ? ? Audio and speech analysis ??? Multimodal speech processing *Submission instructions: * Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at https://www.editorialmanager.com/neunet/default.aspx. Authors should select ?VSI: Speech Based on DL" when they reach the "Article Type" step and the "Request Editor" step in the submission process. *Important dates: * August 30, 2020 - Submission deadline November 30, 2020 - First decision notification January 31, 2021 - Revised version deadline February 28, 2021 - Final decision notification May, 2021 - Publication *Guest Editors: * Xiao-Lei Zhang, Northwestern Polytechnical University, China Lei Xie, Northwestern Polytechnical University, China Eric Fosler-Lussier, Ohio State University, USA Emmanuel Vincent, Inria, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Tue Jun 30 06:49:42 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 30 Jun 2020 12:49:42 +0200 Subject: Connectionists: CFP: Computer Science and Systems; IEEE #49059; IEEE DL publication; SCOPUS indexation; Deadline July 3, 2020; video-based conference In-Reply-To: <7491882b-5571-4740-a342-25d3ea494287@ibspan.waw.pl> References: <7491882b-5571-4740-a342-25d3ea494287@ibspan.waw.pl> Message-ID: <068038b2-16c2-0515-eb54-38b24826acfd@amu.edu.pl> CALL FOR PAPERS *********************************************************************************** TRACK 2: Computer Science and Systems https://fedcsis.org/2020/css 15th CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS FedCSIS 2020 Sofia, Bulgaria,? 6-9 September, 2020 http://www.fedcsis.org/ ************************* COVI-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ CSS is a FedCSIS track aiming at integrating and creating synergy between FedCSIS technical sessions which thematically subscribe to more technical (or applicable) aspects of computer science and related disciplines. The CSS track spans themes ranging from hardware issues close to the discipline of computer engineering via software issues tackled by the theory and applications of computer science and to communications issues of interest to distributed, smart, multimedia and network systems. The sessions joined in this track are open to all innovative methods which solve the latest problems in the field of applied computer science. The track considers topic sessions: >>Advances in Computer Science and Systems (ACSS) ACSS is welcoming presentations of the scientific aspects related to applied sciences. The session is oriented on the research where the computer science meets the real world problems, real constraints, model objectives, etc. However the scope is not limited to applications, we all know that all of them were born from the innovative theory developed in laboratory. We want to show the fusion of these two worlds. Therefore one of the goals for the session is to show how the idea is transformed into application, since the history of modern science show that most of successful research experiments had their continuation in real world. ACSS session is going to give an international panel where researchers will have a chance to promote their recent advances in applied computer science both from theoretical and practical side. -Applied Artificial Intelligence -Applied Parallel Computing -Applied methods of multimodal, constrained and heuristic optimization -Applied computer systems in technology, medicine, ecology, environment, economy, etc. -Theoretical models of the above computer sciences developed into the practical use >>Actors, Agents, Assistants, Avatars (4A) 4A covers, broadly understood, agent technology is undergoing rapid changes. What was once envisioned, primarily, in research papers becomes reality. Over last few years we observe proliferation of personal assistants and avatars (sometimes considered under a joint umbrella of ChatBots). For instance, consider Siri, Cortana, Amazon Echo, or Google Assistant (to name the most popular). They can help in different activities, but a lot of work remains before they reach full potential. Furthermore, actors start to materialize in real-world applications ? as a promising approach to implement large-scale distributed systems. It is also worthy noticing that avatars, humans and smart things can cooperate as a community that instantiates, contributes to and exploits various aspects of collective intelligence. Here, observe that agents can play very relevant role in the context of implementing, for example, intelligence of smart devices, which interact with each other and with humans, by common communication channels and, possibly even, social networks. At the same time, software tools that can be used to realize 4A systems have reached maturity and are surrounded by active user communities. -Actors, as an approach to design and (efficiently) implement distributed systems -Current perspectives on software agents and multi-agent systems -Design and implementation of assistants -ChatBot design, implementation and use ? Avatars for today and tomorrow -Theoretical foundations of 4A-based systems -4A-based simulations (with application to real-world use cases, in particular) -Case studies, applications and experiences with 4A?s (in real-world, in particular) >>Computer Aspects of Numerical Algorithms (CANA) CANA is open for numerical algorithms which are widely used by scientists engaged in various areas. There is a special need of highly efficient and easy-to-use scalable tools for solving large scale problems. The workshop is devoted to numerical algorithms with the particular attention to the latest scientific trends in this area and to problems related to implementation of libraries of efficient numerical algorithms. The goal of the workshop is meeting of researchers from various institutes and exchanging of their experience, and integrations of scientific centers. -Parallel numerical algorithms -Novel data formats for dense and sparse matrices -Libraries for numerical computations -Numerical algorithms testing and benchmarking -Analysis of rounding errors of numerical algorithms -Languages, tools and environments for programming numerical algorithms -Numerical algorithms on coprocesors (GPU, Intel Xeon Phi, etc.) -Paradigms of programming numerical algorithms -Contemporary computer architectures -Heterogeneous numerical algorithms -Applications of numerical algorithms in science and technology >>Multimedia Applications and Processing (MMAP) MMAP is an international venue for recent advances in pervasive computers, networks, telecommunications, and information technology, along with the proliferation of multimedia mobile devices - such as laptops, iPods, Personal Digital Assistants, and smartphones ? which have stimulated the rapid development of intelligent applications. These key technologies by using Virtual Reality, Augmented Reality and Computational Intelligence are creating a recent multimedia revolution which will have a significant impact across a wide spectrum of consumer, business, healthcare, educational and governmental domains. Audio, Image and Video Processing. -Animation, Virtual Reality, 3D and Stereo Imaging -Big Data Science and Multimedia Systems -Cloud Computing and Multimedia Applications -Machine Learning, Fuzzy Systems, Neural Networks and Computational Intelligence for Information Retrieval in Multimedia Applications -Data Mining, Warehousing and Knowledge Extraction -Multimedia File Systems and Databases: Indexing, Recognition and Retrieval -Multimedia in Internet and Web Based Systems -E-Learning, E-Commerce and E-Society Applications -Human Computer Interaction and Interfaces in Multimedia Applications -Multimedia in Medical Applications and Computational biology -Entertainment, Personalized Systems and Games -Security in Multimedia Applications: Authentication and Watermarking -Distributed Multimedia Systems -Network and Operating System Support for Multimedia -Mobile Network Architecture and Fuzzy Logic Systems -Intelligent Multimedia Network Applications -Future Trends in Computing System Technologies and Applications -Trends in Processing Multimedia Information -Multimedia Ontology and Perception for Multimedia Users >>Scalable Computing (WSC) WSC is devoted to the world of large-scale computing. The most recent addition to the mix comes from numerous data streams that materialize from exploding number of cheap sensors installed ?everywhere?, on the one hand, and ability to capture and study events with systematically increasing granularity, on the other. To address the needs for scaling computational and storage infrastructures, concepts like: edge, fog and dew computing emerged. Novel issues in involved in ?pushing computing away from the center? did not replace open questions that existedin the context of grid and cloud computing. Rather, they added new dimensions of complexity and resulted in the need of addressing scalability across more and more complex ecosystems consisting of individual sensors and micro-computers (e.g. Raspberry PI based systems) as well as supercomputers available within the Cloud (e.g. Cray computers facilitated within the MS Azure Cloud). -General issues in scalable computing -Algorithms and programming models for large-scale applications, simulations and systems -Large-scale symbolic, numeric, data-intensive, graph-oriented, distributed computations -Fault-tolerant and consensus techniques for large-scale computing -Resilient large-scale computing -Data models for large-scale applications, simulations and systems -Large-scale distributed databases -Load-balancing / intelligent resource management in large-scale applications, simulations and systems -Performance analysis, evaluation, optimization and prediction -Scientific workflow scheduling -Data visualization -On-demand computing -Virtualization supporting computations -Volunteer computing -Scaling applications from small-scale to exa-scale (and back) -Big data real-time computing / analytics -Economic, business and ROI models for large-scale applications -Emerging technologies for scalable computing -Cloud / Fog / Dew computing architectures, models, algorithms and applications -High performance computing in Cloud / Fog / Dew -Green computing in Cloud / Fog / Dew -Performance, capacity management and monitoring of Cloud / Fog / Dew configuration -Cloud / Fog / Dew application scalability and availability -Big Data cloud services -Architectures for large-scale computations (GPUs, accelerators, quantum systems, federated systems, etc.) -Self* and autonomous computational / storage systems IMPORTANT DATES + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 SUBMISSION GUIDLINES: FedCSIS announces two separate calls for papers, with the deadlines for submissions about three weeks apart: Call for Regular Papers and Call for Position Papers. Papers submitted within the Call for Regular Papers can be accepted, by the event?s Program Committee, in one of the three categories: full papers, short papers or communication papers. Full and short papers constitute Proceedings of the FedCSIS conference ? they are published electronically in a volume of ?Annals of Computer Science and Information Systems? (ACSIS) and are submitted for inclusion in the IEEE Xplore Digital Library. ACSIS Volumes with Proceedings of the FedCSIS conference are submitted for indexation in Web of Science, SCOPUS, DBLP, Index Copernicus and other indexing services (see, Indexation for more details). Communication papers and Position papers are published in separate ACSIS volume(s) and they are not submitted to the IEEE Xplore DL. Limited number of Best Papers will be published (free of charge) in Information -- Open Access Journal (MDPI) For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions TRACK CHAIRS: Wo?niak, Marcin, Institute of Mathematics, Silesian University of Technology, Poland Dimov, Ivan, Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Bulgaria -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From antonio.miranda at bsc.es Tue Jun 30 08:59:29 2020 From: antonio.miranda at bsc.es (Antonio Miranda) Date: Tue, 30 Jun 2020 14:59:29 +0200 Subject: Connectionists: CANTEMIST NLP shared task: Cancer text mining, named entity recognition and clinical coding (IberLEF2020) Message-ID: **** Call for Participation Cantemist:CANcer TExt Mining Shared Task (IberLEF - SEPLN 2020) **** *Named Entity Recognition of Tumor Morphology Mentions and ICD-O-3 coding track at SEPLN 2020* https://temu.bsc.es/cantemist/ Plan TL Award for the Cantemist Track winners Following the success of previous shared tasks we have coordinated in collaboration with the BioCreative challenges (e.g. ChemDNER, ChemProt), BioNLP-OST (PharmaCoNER), eHealth CLEF (CodiEsp) or IberLEF2019 (MEDDOCAN) we are organizing the first shared task specifically focusing on named entity recognition of a critical type of concept related to cancer, namely *tumor morphology*, called CANTEMIST. These previous efforts resulted in high impact datasets, publications and new tools. *The Cantemist sub-tracks:* *1.CANTEMIST-NER*: finding mentions of tumor morphology in oncology cases. *2.CANTEMIST-NORM:* recognition and mapping to concept identifiers from ICD-O-3. *3.CANTEMIST-CODING: *oncology clinical coding (multi-label classification) assigning ICD-O-3 codes to clinical case documents. *Key information* 1. Cantemist web, info & detailed description: https://temu.bsc.es/cantemist/ 2. Registration for Cantemist: https://temu.bsc.es/cantemist/?p=3956 3. Datasets: https://zenodo.org/record/3878488 *Task motivation* There is a pressing need to apply natural language processing (NLP) and text mining technologies to process clinical texts in order to unlock critical information that enables better clinical decision-making. NLP can facilitate the use of information from literature and electronic health records in biomedical data analysis. *Understanding diseases requires the extraction of certain key entities like diseases, treatments or symptoms* and their attributes from textual data, as has become clear from the recent COVID-19 (SARS-CoV-2, coronavirus disease) pandemic, which showed the current struggle in processing clinical documents written in various languages. With over *470 million* native speakers, there is a worldwide interest in processing medical texts in Spanish (every 10 minutes, tens of thousands of EHRs are produced just in Spain). Such technologies also have the potential of being *adapted to handle other languages*, like Italian, German, French or even English. Results of systems capable of automatically processing clinical texts are not only of interest for the medical user community or researchers working on basic and applied health-related disciplines, but are also demanded by the pharmaceutical industry and ultimately by patients. Due to the special relevance of cancer as one of the leading causes of death and the growing healthcare expenditures for oncological treatments a specific classification resource for oncology has been constructed by the WHO known as International Classification of Diseases for Oncology (*ICD-O*). The CIE-O has been used for over 25 years as a standard resource to code diagnosis of neoplasms in tumor and cancer registries as well as pathology reports. *Important dates* June, 5: Train set and guidelines release June, 12: First development set release July, 3: Test and Background set release Aug, 3: End of the evaluation period Aug, 14: Paper submission Sep 1: Camera-ready paper submission Sep 23-25: SEPLN 2020 Conference *Publications and workshop* There will be an *evaluation workshop allocated at SEPLN 2020* where participating teams can present their systems and results. Moreover, participating teams will be invited to submit their system description papers for publication at the *SEPLN 2020 Working Notes proceedings*. For previous working notes see: http://ceur-ws.org/Vol-2421/ *Cantemist awards* There will be three awards for the top-scoring teams promoted by the Spanish Plan for the Advancement of Language Technology (Plan TL) and the Barcelona Supercomputing Center (BSC). *Main Track organizers* ? *Martin Krallinger*, Barcelona Supercomputing Center, Spain ? *Antonio Miranda*, Barcelona Supercomputing Center, Spain ? *Eul?lia Farr?*, Barcelona Supercomputing Center, Spain ? *Jose Antonio*, Hospital 12 de Octubre, Madrid, Spain *Scientific Committee* - *Kirk Roberts*, School of Biomedical Informatics, University of Texas Health Science Center, USA - *Parminder Bhatia*, Amazon Health AI, USA - *Irene Spasic*, School of Computer Science & Informatics, co-Director of the Data Innovation Research Institute, Cardiff University, UK - *Tristan Naumann*, Microsoft Research Healthcare NExT, USA - *Carlos Luis Parra Calder?n*, Head of Technological Innovation, Virgen del Roc?o University Hospital, Institute of Biomedicine of Seville, Spain - *Alfonso Valencia Herrera*, Barcelona Supercomputing Center (BSC-CNS), Spain - *Hercules Dalianis*, Department of Computer and Systems Sciences, Stockholm University, Sweden - *Kevin Bretonnel Cohen*, Colorado School of Medicine, USA; LIMSI, CNRS, Universit? Paris-Saclay, France - *Karin Verspoor*, School of Computing and Information Systems, Health and Biomedical Informatics Centre, University of Melbourne, Australia - *Aur?lie N?v?ol*, LIMSI-CNRS, Universit? Paris-Sud, France - *Goran Nenadic*, Department of Computer Science, University of Manchester, UK - *Zhiyong Lu*, Deputy Director for Literature Search, National Center for Biotechnology Information (NCBI) - *Ashish Tendulkar*, Machine Learning Architect, Google -- *Antonio Miranda* Biomedical Engineer at Barcelona Supercomputing Center *Phone: 0034 649227310* *Location: Barcelona**, Spain* http://bsc.es/disclaimer -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Jun 29 12:15:34 2020 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Mon, 29 Jun 2020 12:15:34 -0400 Subject: Connectionists: NEURAL NETWORKS, July 2020 Message-ID: Neural Networks - Volume 127, July 2020 https://www.journals.elsevier.com/neural-networks Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991) Juergen Schmidhuber A classification-based approach to semi-supervised clustering with pairwise constraints Marek Smieja, Lukasz Struski, Mario A.T. Figueiredo Further results on finite-time synchronization of delayed inertial memristive neural networks via a novel analysis method Lanfeng Hua, Shouming Zhong, Kaibo Shi, Xiaojun Zhang On the boundary conditions of avoidance memory reconsolidation: An attractor network perspective Rodrigo M.M. Santiago, Adriano B.L. Tort Generative adversarial networks with decoder-encoder output noises Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang, ... Kaizhu Huang Neural memory plasticity for medical anomaly detection Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, ... Clinton Fookes Novel deep neural network based pattern field classification architectures Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain Training of deep neural networks for the generation of dynamic movement primitives Rok Pahic, Barry Ridge, Andrej Gams, Jun Morimoto, Ales Ude Micro-cracks detection of solar cells surface via combining short-term and long-term deep features Xiaoliang Qian, Jing Li, Jinde Cao, Yuanyuan Wu, Wei Wang Linear embedding by joint Robust Discriminant Analysis and Inter-class Sparsity F. Dornaika, A. Khoder Graph Convolution Networks with manifold regularization for semi-supervised learning M. Tavassoli Kejani, F. Dornaika, H. Talebi Vulnerability of classifiers to evolutionary generated adversarial examples Petra Vidnerova, Roman Neruda DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, ... Zenglin Xu A tight upper bound on the generalization error of feedforward neural networks Aydin Sarraf Finite-time synchronization of memristor neural networks via interval matrix method Fei Wei, Guici Chen, Wenbo Wang Randomized sketches for kernel CCA Heng Lian, Fode Zhang, Wenqi Lu Synchronization of coupled neural networks under mixed impulsive effects: A novel delay inequality approach Yaqi Wang, Jianquan Lu, Xiaodi Li, Jinling Liang Dendrite P systems Hong Peng, Tingting Bao, Xiaohui Luo, Jun Wang, ... Mario J. Perez-Jimenez From laurent.perrinet at univ-amu.fr Tue Jun 30 06:06:40 2020 From: laurent.perrinet at univ-amu.fr (Laurent Perrinet) Date: Tue, 30 Jun 2020 12:06:40 +0200 Subject: Connectionists: PhD offer "Ultra-fast vision using Spiking Neural Networks" coordinated by Laurent Perrinet (CNRS - Marseille, France) Message-ID: <3DFD9992-4B0A-4F34-8B93-94879E6528C7@univ-amu.fr> Dear colleagues, Applications are welcome for a fully funded doctoral position at INT in Marseille , France. Your mission will be to build ultra-fast vision algorithms using event-based cameras and spiking neural networks. The project is funded by the APROVIS3D grant (ANR-19-CHR3-0008-03) and will be coordinated by Laurent Perrinet . The work will be carried out in collaboration with a leading computer science institute at Universit? C?te d?Azur (Sophia Antipolis, France), the Laboratoire d?Informatique, Signaux et Syst?mes de Sophia-Antipolis (I3S, UMR7271 - UNS CNRS), that will be part of the supervision team. We are seeking candidates with a strong background in machine learning, computer vision and computational neuroscience. To obtain further information, please visit https://laurentperrinet.github.io/post/2020-06-30_phd-position and contact me @ Laurent.Perrinet at univ-amu.fr . To candidate, follow instructions on the dedicated server from the CNRS . The starting date is set to October 1st, 2020 and the appointment is for 36 month. Applications are welcome immediately. Thanks for distributing this announcement to potential candidates! Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS https://laurentperrinet.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.staiano at uniparthenope.it Tue Jun 30 11:11:56 2020 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Tue, 30 Jun 2020 17:11:56 +0200 Subject: Connectionists: Submissions Open for ICPR2020 workshop on "Machine Learning Advances Environmental Science (MAES)" Message-ID: MAES2020 workshop at ICPR2020 ---===== Apologies for multiple posting =====--- Please distribute this call to interested parties __________________________________________________________________ Machine Learning Advances Environmental Science (MAES at ICPR2020) workshop at the 25th International Conference on Pattern Recognition (ICPR2020) Milan, Italy, January 10-15, 2021 >>> https://sites.google.com/view/maes-icpr2020/ <<< __________________________________________________________________ *Submissions are now open: please note that, due to a high rejection rate, good papers (i.e., received high scores) not accepted for the regular session, and fitting the MAES themes, could be submitted to MAES!!!* === Important Dates === - Workshop submission deadline: October 10th - Workshop author notification: November 10th - Camera-ready submission: November 15th - Finalized workshop program: December 1st === Aim & Scope === Environmental data are growing steadily in volume, complexity, and diversity to Big Data mainly driven by advanced sensor technology. Machine learning can offer superior techniques for unraveling complexity, knowledge discovery and predictability of Big Data environmental science. The aim of the workshop is to provide a state-of-the-art survey of environmental research topics that can benefit from Machine Learning methods and techniques. To this purpose, the workshop welcomes papers on successful environmental applications of machine learning and pattern recognition techniques to diverse domains of Environmental Research, for instance, recognition of biodiversity in thermal, photo and acoustic images, natural hazards analysis and prediction, environmental remote sensing, estimation of environmental risks, prediction of the concentrations of pollutants in geographical areas, environmental threshold analysis and predictive modelling, estimation of Genetical Modified Organisms (GMO) effects on non-target species. The workshop will be the place to make an analysis of the advances of Machine Learning for Environmental Science and should indicate the open problems in environmental research that still have not properly benefited from Machine Learning. Extended papers of this workshop will be published as a special issue in the journal of Environmental Modelling and Software, Elsevier. === Organizers === Francesco Camastra, Universita' degli Studi di Napoli Parthenope, Italy Friedrich Recknagel, University of Adelaide, Australia Antonino Staiano, Universita' degli Studi di Napoli Parthenope, Italy _________________________________________________________ Contacts: antonino.staiano at uniparthenope.it francesco.camastra at uniparthenope.it Workshop: https://sites.google.com/view/maes-icpr2020/ ICPR2020: https://www.micc.unifi.it/icpr2020/ Antonino Staiano, PhD Associate Professor Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Tue Jun 30 10:29:12 2020 From: a.dorrn at fz-juelich.de (a.dorrn at fz-juelich.de) Date: Tue, 30 Jun 2020 16:29:12 +0200 Subject: Connectionists: Bernstein Conference 2020 - abstract submission deadlines extended Message-ID: Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. This year?s Bernstein Conference will take place September 29 ? October 1, 2020 and will be held entirely online for the first time. It will be followed by the online Bernstein PhD Symposium on October 2, 2020 www.bernstein-conference.de ____ NEWS * Participation will be free of charge * Registration will open mid-July * Abstract submission deadlines have been extended: * July 17, 2020: deadline for submission of abstracts to be considered for Contributed Talks * August 21, 2020: deadline for abstract submission * Find more information here: bit.ly/BC20abstracts * Selected satellite workshops are now published: bit.ly/BC20workshops * more information regarding the PhD symposium will follow soon ____ INVITED SPEAKERS William Bialek (Princeton University, USA) Michael Brecht (Humboldt Universit?t zu Berlin, Germany) Laura Busse (LMU Munich, Germany) Megan Carey (Champalimaud Center for the Unknown, Lisbon, Portugal) Rosa Cossart (Institut de neurobiologie de la m?diterran?e, Marseille, France) Ann Hermundstad (Janelia Research Campus, Ashburn, USA) Roozbeh Kiani (New York University, New York City, USA) Vanessa Ruta (The Rockefeller University, New York City, USA) David Sussillo (Google AI, Mountain View, USA) Srdjan Ostojic (L'?cole normale sup?rieure, Paris, France) Fred Wolf (Max-Planck Institute for Dynamics and Self-Organization, G?ttingen, Germany) ____ CONFERENCE COMMITTEE Udo Ernst (Conference Chair) Elad Schneidmann (Program Chair) Julijana Gjiorgjieva (Program Vice Chair) Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Henning Sprekeler (Conference Host) Danielle Bassett, Matthew Botvinick, Peter Dayan, Alain Destexhe, Tim Gollisch, Stephanie Palmer, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From joseph.lizier at sydney.edu.au Tue Jun 30 10:01:14 2020 From: joseph.lizier at sydney.edu.au (Joseph Lizier) Date: Tue, 30 Jun 2020 14:01:14 +0000 Subject: Connectionists: Information theory workshop at CNS*2020 -- call for contributed talks Message-ID: Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at the CNS*2020 conference, online. The workshop will be held during 3 sessions over two days of the main conference, July 21 (15:00-18:30 CET) and July 22 (09:00-12:30, 15:00-18:30 CET). Our confirmed speakers so far include the following (schedule available soon): * Oliver Cliff, The University of Sydney -- "Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series" * Abdullah Makkeh, University of Goettingen -- "A differentiable measure of pointwise shared information" * Thomas Parr, University College London -- "Inferring what to do" * Daniel Polani, University of Hertfordshire -- TBA * Maryam Shanechi, University of Southern California -- TBA * Naotsugu Tsuchiya, Monash University -- "Structure of information to understand the physical basis of consciousness" * ... more TBA! Also, we would like to call for contributions of talks. If you are interested in contributing a talk, please send a title and abstract to Joseph Lizier (joseph.lizier at sydney.edu.au) at your earliest convenience (earlier submissions will be prioritised) Please see our website https://bit.ly/cns2020itw for more details. We hope you will join us there! Organising Committee: Joseph Lizier Justin Dauwels Lubomir Kostal Michael Wibral -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Tue Jun 30 23:19:33 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Wed, 1 Jul 2020 11:19:33 +0800 Subject: Connectionists: [Submission Deadline: Sep. 1, *9+ Special Issues*] CFP IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, Dec. 14-16, Fiji Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (IEEE DependSys 2020), 14-16 December 2020, Fiji [Submission Deadline: Sep. 1][9+ Special Issues] http://cse.stfx.ca/~dependsys/2020/index.html IEEE DependSys 2020 conference is the 6th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2020 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 9+ SCI & EI indexed prestigious journals (confirmed). 1. Information Fusion (IF: 13.669) SI on Fusion from Big Data to Smart Data https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-fusion-from-big-data-to-smart-data 2. Information Fusion (IF: 13.669) SI on Data Fusion for Trust Evaluation https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-data-fusion-for-trust-evaluation 3. IEEE Transactions on Industrial Informatics (IF: 9.112) SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation http://www.ieee-ies.org/images/files/tii/ss/2020/Digital_Twinning_Integrating_AI-ML_and_Big_Data_Analytics_for_Virtual_Representation_2020-4-30.pdf 4. Future Generation Computer Systems (IF: 6.125) SI on Artificial Intelligence for Cyber Defence and Smart Policing https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/artificial-intelligence-for-cyber-defence-and-smart-policing 5. Journal of Cloud Computing (IF: 2.788) SI on Security and Privacy Issues for AI in Edge-Cloud Computing https://journalofcloudcomputing.springeropen.com/securityprivacyaiedgecloud?from=singlemessage 6. Software: Practice and Experience SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems https://onlinelibrary.wiley.com/pb-assets/assets/page/journal/1097024x/SI_softandhard.pdf 7. MDPI Electronics (IF: 2.412) SI on Blockchain-based Technology for Mobile Application https://www.mdpi.com/journal/electronics/special_issues/BTMA 8. IEEE/CAA Journal of Automatics Sinica (IF: 5.129) SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges http://www.ieee-jas.org/news/news_en/9248195c-6d90-4868-9962-263ed9ba12f3_en.htm 9. IEEE Transactions on Network Science and Engineering (IF: 5.213) SI on Computing and Networking for Cyber-Physical-Social Systems https://www.comsoc.org/publications/journals/ieee-tnse/cfp/computing-and-networking-cyber-physical-social-systems * More special issues will be added later. ================== Important Dates ================== Workshop Proposal/Special Session Due: 30 June 2020 Submission Deadline: 1 September 2020 Authors Notification Date: 15 October 2020 Final Manuscript Due: 10 November 2020 Conference Date: 14-16 December 2020 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (http://cse.stfx.ca/~dependsys/2020/index.html) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Mohammad Zulkernine, Queen's University, Canada - Aniello Castiglione, University of Naples Parthenope, Italy - Alireza Jolfaei, Macquarie University, Australia Program Chairs - Salimur Choudhury, Lakehead University, Canada - Qinghua Lu, CSIRO, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Tue Jun 30 17:55:43 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 30 Jun 2020 23:55:43 +0200 Subject: Connectionists: CFP: Information Systems and Technologies; IEEE #49059; IEEE DL publication; SCOPUS indexation; Deadline July 3, 2020; video-based conference In-Reply-To: <63de4a8b-079e-2ec7-fe5a-650577aeda4c@ibspan.waw.pl> References: <63de4a8b-079e-2ec7-fe5a-650577aeda4c@ibspan.waw.pl> Message-ID: <3fec04b7-e38f-bf79-939b-545799825eaf@amu.edu.pl> Information Systems and Technologies IST'2020 Track 4 within 15th Conference on Computer Science and Information Systems FedCSIS'2020 Bulgarian Academy of Sciences, Sofia, Bulgaria 06-09 September 2020 https://fedcsis.org/2020/ist ************************* COVID-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 3, 2020 for the regular papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ Dear friends and colleagues, Are you interested in sharing and discussing your research on integrating and creating synergy between disciplines of information technology, information systems, and social sciences, i.e. economics, management, business, finance, and education? If yes, then please consider submitting our Track 4 IST'2020. The track addresses the issues relevant to information technology and necessary for practical, everyday needs of business, other organizations and society at large. This track takes a socio-technical view on information systems and, at the same time, relates to ethical, social and political issues raised by information systems. It seeks new studies in many disciplines to foster a growing body of conceptual, theoretical, experimental, and applied research that could inform design, deployment and usage choices for information systems and technology within business and public organizations as well as households. Extended versions of high-marked papers presented at technical sessions of IST 2015-2019 have been published with Springer in volumes of Lecture Notes in Business Information Processing: LNBIP 243, LNBIP 277, LNBIP 311, LNBIP 346, and LNBIP 380. Extended versions of selected papers presented during IST'2020 will be published in Lecture Notes in Business Information Processing series (LNBIP, Springer). Authors can submit their paper to the technical sessions: Advances in Information Systems and Technology (AIST'20), https://www.fedcsis.org/2020/aist; Data Science in Health, Ecology and Commerce (DSH'19) (2nd Special Session DSH'20), https://www.fedcsis.org/2020/dsh; Information Systems Management (15th Conference ISM'20), https://www.fedcsis.org/2020/ism; Knowledge Acquisition and Management (26th Conference KAM'20), https://www.fedcsis.org/2020/kam; Important dates: + Paper submission (strict deadline): July 3, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 Chairs of IST'2020 Track: Ewa Ziemba, University of Economics in Katowice, Poland Guangming Cao, Ajman University, United Arab Emirates Daphne Raban, University of Haifa, Israel -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com