From sergio.escalera.guerrero at gmail.com Sun Feb 2 02:41:09 2020 From: sergio.escalera.guerrero at gmail.com (Sergio Escalera) Date: Sun, 2 Feb 2020 08:41:09 +0100 Subject: Connectionists: CVPR'20 Workshop CFP: Challenges and Promises of Inferring Emotion from Images and Video Message-ID: CVPR'20 Workshop CFP: Challenges and Promises of Inferring Emotion from Images and Video OVERVIEW There is a disconnect between what computer vision (and AI) researchers think emotions are and how they are conveyed through facial expressions and body pose, and what the actual science tells us. Take faces as an example. Undoubtedly, faces offer information that helps us navigate our social world, influence whom we love, and determine who we trust or who we believe to be guilty of a crime. But to what extent does an individual?s face reveal the person?s internal emotions? To what extent (and how) can we design computer vision systems to accurately interpret an emotion or intention from a raised eyebrow, a curled lip, or a narrowed eye? And to what degree are these visual cues influenced by body pose and context? Recent research shows that faces or body expressions alone are insufficient to perform a reverse inference of image to emotion, and that context, personal believes, and cultural must be accounted for. This workshop will present these limitations and examine several alternative approaches to successfully interpret the emotion and intent of others. TOPICS OF INTEREST (include but are not limited to) ? The role of context in the study of emotion ? Common errors in inferring emotion from images and video ? Cultural and situational influences ? Face and body cues and their interaction ? Biomechanics role in inferring emotion ? Dynamics of facial and body actions in the expression of emotion ? Cross-cultural studies of emotional expression in the wild ? Biologically-inspired computer vision systems ? Computer vision algorithms in the study of psychopathologies ? Biases caused by limitations on the available datasets ? Ethics of inferring emotion from images and video TIMELINE ? Paper submission deadline: 12th March 2020 (11:59pm Pacific Time) ? Notification to authors: 11th April 2020 ? Camera ready deadline: 15th April 2020 (11:59pm Pacific Time) ? Workshop date: 14, 15 or 19th June 2019 (TBD) INVITED SPEAKERS ? Prof. Lisa Feldman Barrett, University Distinguished Professor of psychology at Northeastern University, with appointments at Harvard Medical School and Massachusetts General Hospital in psychiatry and radiology. ? Prof. Alexander Todorov, Professor at Princeton University. Studies how people perceive, evaluate, and make sense of the social world. ? Prof. Ralph Adolphs, Bren Professor of Psychology, Neuroscience, and Biology; Allen V. C. Davis and Lenabelle Davis Leadership Chair, Caltech Brain Imaging Center; Director, Caltech Brain Imaging Center. ? Prof. Rachael Jack, Reader at University of Glasgow; and associate member of the Institute of Neuroscience and Psychology. ORGANIZERS ? Aleix M. Martinez, The Ohio State University ? Sergio Escalera, Universitat de Barcelona and Computer Vision Center ? Qianli Feng, The Ohio State University WORKSHOP WEBPAGE AND SUBMISSION INSTRUCTIONS http://cbcsl.ece.ohio-state.edu/cvpr-2020/index.html -- *Dr. Sergio Escalera Guerrero*Head of Human Pose Recovery and Behavior Analysis group / ICREA Academia / Project Manager at the Computer Vision Center Vice-president of ChaLearn Challenges in Machine Learning, Berkeley Associate professor at Universitat de Barcelona / Universitat Oberta de Catalunya / Aalborg University / Dalhousie University Email: sergio.escalera.guerrero at gmail.com / Webpage: http://www.sergioescalera.com/ / Phone:+34 934020853 -------------- next part -------------- An HTML attachment was scrubbed... URL: From tobi at ini.uzh.ch Sat Feb 1 01:52:07 2020 From: tobi at ini.uzh.ch (Tobi Delbruck (INI)) Date: Sat, 1 Feb 2020 17:52:07 +1100 Subject: Connectionists: Call for Applications for 2020 Telluride Neuromorphic Cognition Engineering Workshop: Deadline Mar 29, 2020 Message-ID: <44f62422-bb73-522e-1d5b-9bf605ac13f2@ini.uzh.ch> The applications for participation in the 2020 Telluride Neuromorphic Cognition Engineering Workshop are now open. The Workshop has been running in Telluride, Colorado, USA for over 20 years, and has been influential in shaping the field of neuromorphic engineering and serving as a forum connecting across disciplines such as artificial intelligence, neuroscience, cognitive science, machine learning, robotics, computer vision, signal processing, and electrical engineering. The topic areas for this year's workshop are: ??? 1. Auditory learning in brains and machines. ??? 2. Learning to control ??? 3. Better together: Enhancing deep learning with neuromorphic innovations. ??? 4. Cognitive models for real-time systems. Workshop website: https://sites.google.com/view/telluride2020/home Instructions for applications: https://sites.google.com/view/telluride2020/apply/apply-to-participate Important Dates: ??? Deadline for application: 28th Jan, 2020 ??? Notification of Acceptance - 15th April, 2020 ??? Workshop: June 28-July 17, 2020. ** -------------- next part -------------- An HTML attachment was scrubbed... URL: From editor.auto.reply1 at gmail.com Sun Feb 2 02:24:10 2020 From: editor.auto.reply1 at gmail.com (IJCES Edt) Date: Sun, 2 Feb 2020 12:54:10 +0530 Subject: Connectionists: CFP: IJCES special issue for research in computer engineering in Volume 10 In-Reply-To: References: Message-ID: Dear Professor, [Apologies if you have received multiple copies of this mail] After several iteration of updates in form of domain/website/etc, the *International Journal of Computer Engineering Science (IJCES)* is now actively accepting manuscripts for publication. IJCES publishes high-quality solicited and unsolicited articles, in English, in all areas of Computer Science Research. All papers published by IJCES will be peer reviewed. One key request of researchers across the world is open access to research publications. *International Journal of Computer Engineering Science *is fully committed to providing free access to all articles as soon as they are published. We ask you to support this initiative by publishing your papers in this journal. Salient Features for publishing in IJCES ? *No Publication Fee* for accepted articles to be published. ? Visibility to all over world in form of open access and to get more citation for your research work. ? Presently under preparation for possible consideration in ICI (Indian Citation Index)/SCOUPS/WoS (Web Of Science) ? Author can submit anytime and in any format for initial submission. ? And many more. Instruction for authors and other details are available on our website http://www.ijces.com . Prospective authors should submit their manuscript as per instructions at http://www.ijces.com/ijces/author-guidelines/ Do not reply to this auto generated email. For any query feel free to contact at ijces.editor at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From samarasinghe at ini.rub.de Mon Feb 3 02:40:06 2020 From: samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Mon, 3 Feb 2020 08:40:06 +0100 Subject: Connectionists: Doctoral Position at the Institute for Neural Computation - Ruhr University Bochum Message-ID: <5b695d9a-4c74-4f9e-c0da-73ac674b16ab@ini.rub.de> Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a *Doctoral position (TV-L E13, 65%) in Computational Neuroscience. * The position starts as soon as possible and is funded for three years. *Job description* The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns . The successful candidate will develop and study computational models of episodic memory and spatial navigation. The models will be based on biologically plausible spiking neurons and will account for the generation and learning of complex behaviors. The research focus will be on modeling the influence of neuro- and psychopathologies on observable behavior. The candidate mayenrollin a doctoral program in neuroscience, psychology, physics, or electrical engineering ? subject to enrollment requirements of the particular program. *Your Profile: * Candidates must have * an excellent university degreein neuroscience, psychology, physics, computer science, electrical/biomedical engineering or a related field, * relevant experience modeling biological neural networks, * excellent communication skills in English, and * the ability to work well in a team. Experience with research in neuro- and psychopathologieswould be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe at ini.rub.de . In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is February 29^th , 2020. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Contact person: Vinita Samarasinghe, samarasinghe at ini.rub.de -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Postfachnummer 110 Universit?tstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Mon Feb 3 09:58:22 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Mon, 3 Feb 2020 22:58:22 +0800 Subject: Connectionists: CIKM2020 - 2nd Call for Research Papers Message-ID: *Apologies for cross-posting* ** SECOND CALL FOR FULL AND SHORT RESEARCH PAPERS ** *29th ACM International Conference on Information and Knowledge Management (CIKM 2020)* Galway, Ireland October 19th-23rd, 2020 https://cikm2020.org/call-for-papers-full-and-short-research-papers/ *2020 Theme: Data and knowledge for the next generation: sustainability, transparency and fairness* Strategically positioned at the intersection of research on the management of knowledge, information, and data, CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. Full and Short Research Papers Topics of Interest We encourage submissions of high-quality research papers on all topics in the general areas of databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: - *Data and information acquisition and preprocessing* (e.g., data crawling, data quality, data privacy, data wrangling) - *Integration and aggregation *(e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modelling) - *Infrastructures *(e.g., cloud computing, data-intensive computing, database systems, indexing and compression, search engine architectures, distributed systems) - *Special data processing* (e.g., multilingual text, sequential, stream, spatio-temporal, graph, multimedia, scientific, and social media data) - *Multi-modal data and knowledge processing* (e.g., natural language processing, speech recognition, computer vision, knowledge graphs) - *Analytics and machine learning* (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, event detection and tracking, deep neural networks, deep learning) - *Information access and retrieval *(e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) - *Data presentation* (e.g., visualization, summarization, readability, understandability, VR, speech input and output) - *Users and interfaces for information and data systems* (e.g., user behaviour analysis, user interface design, personalization, interactive information retrieval, interactive analysis, spoken interfaces) - *Crowdsourcing *(e.g. task assignment, worker reliability, optimisation, trustworthiness, best practices) - *Comparative evaluation, performance studies and benchmarks* (e.g., online and offline evaluation, best practices) Important Dates Full and Short Paper Abstract Submission Deadline: April 24, 2020 Full and Short Paper Submission Deadline: May 1, 2020 Full and Short Paper Acceptance Notification: July 3, 2020 Full and Short Research Paper Camera Ready Submission Deadline: August 14, 2020 More info at https://cikm2020.org/call-for-papers-full-and-short-research-papers/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahanbull at gmail.com Mon Feb 3 10:59:53 2020 From: sahanbull at gmail.com (Sahan Bulathwela) Date: Mon, 3 Feb 2020 15:59:53 +0000 Subject: Connectionists: [cfp] WSDM SUM20 Full-day Workshop on State-based User Modelling: February 7, 2020 Message-ID: <5e38437c.1c69fb81.ed4c9.9917@mx.google.com> An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Mon Feb 3 16:03:37 2020 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Mon, 3 Feb 2020 22:03:37 +0100 Subject: Connectionists: Reminder: PhD position in visual perceptual learning available at German Primate Center Message-ID: [Sorry for cross-posting] The German Primate Center (DPZ) - Leibniz Institute for Primate Research is one of 96 research and infrastructure establishments of the Leibniz Association. It conducts basic biological and biomedical research in all fields in which non-human primates play essential roles: in particular in infection research, the neurosciences and organismic primate biology. Besides its research infrastructure in G?ttingen the DPZ maintains four field stations to do research on and with primates ( http://www.dpz.eu/en/about-us/profile/mission.html). The Perception and Plasticity Group is looking for an excellent *PhD student (m/f/d)* The Perception and Plasticity Group of Caspar Schwiedrzik at the DPZ is looking for an outstanding PhD student interested in studying the neural basis of perceptual learning in vision. The project investigates neural mechanisms of learning and perception at the level of circuits and single cells, utilizing functional magnetic resonance imaging (fMRI) in combination with electrophysiology and behavioral testing in humans and non-human primates. It is funded by an ERC Starting Grant (Acronym VarPL; ?Specificity or generalization? Neural mechanisms for perceptual learning with variability?). The PhD student?s project will focus on investigating the neural basis of visual perceptual learning in macaque monkeys combining fMRI, multi-electrode electrophysiological recordings and electrical microstimulation. In addition, the PhD students will have the opportunity to cooperate with other lab members on parallel, comparative research exploring the same questions in humans. We seek to understand the cortical basis and computational principles of perception and experience-dependent plasticity in the macaque and human brain. To this end, we use a multimodal approach including fMRI-guided electrophysiological recordings in non-human primates and fMRI and ECoG in humans. The PhD student will play a key role in our research efforts in this area. The lab is located at the DPZ (http://www.dpz.eu) and the European Neuroscience Institute G?ttingen (http://www.eni-g.de), which are interdisciplinary research centers with international faculty and students pursuing cutting-edge research in neuroscience. Further scientific exchange within the Leibniz ScienceCampus Primate Cognition (https://www.primate -cognition.eu) ensures a broad interdisciplinary framework for networking and cooperation. The PhD student will have access to a new imaging center with a dedicated 3T research scanner, state-of-the-art electrophysiology, and behavioral setups. For an overview of our work and representative publications, please see our website http://www.eni-g.de/groups/neural-circuits-and-cognition. For our most recent work, see https://www.biorxiv.org/content/10.1101/770982v1 The position is available immediately with an initial appointment for 2 years and a salary according to 65% TV-L E13. Extensions beyond 2 years are possible. The successful candidate will join one of the many excellent graduate schools on the G?ttingen Campus. Candidates should have a degree (master, diploma or equivalent) in a relevant field (e.g., neuroscience, psychology, biology), and ideally prior experience with non-human primates, strong quantitative, programming, and experimental skills, and share a passion for understanding the neural basis of visual perception and its plasticity. A good command of English is a requirement, but fluency in German is not essential. We especially encourage women to apply. Interested candidates should send their curriculum vitae, a description of their scientific interest and the names and contact information of up to two references who are able to comment on your academic background and who agreed to be contacted. The appointment at the DPZ follows the applied regulations of civil service. The classification follows the TV-L. Disabled applicants with equal qualification will be given preferential consideration. We kindly ask you to indicate in your application if you are disabled. Please send in your written application including all certificates until the 14 of February, 2020 under key word ?PhD Perception and Plasticity? to Deutsches Primatenzentrum GmbH ? Leibniz Institut f?r Primatenforschung ? Personnel Office ? Kellnerweg 4 ? 37077 G?ttingen or via mail to bewerbung at dpz.eu. For further information please contact Dr. Schwiedrzik, cschwiedrzik at dpz.eu, phone: +49 (0)551-39-61371 or see http://www.dpz.eu. -------------- next part -------------- An HTML attachment was scrubbed... URL: From M.Loog at tudelft.nl Tue Feb 4 04:56:21 2020 From: M.Loog at tudelft.nl (Marco Loog - EWI) Date: Tue, 4 Feb 2020 09:56:21 +0000 Subject: Connectionists: postdoc position in Missing Data, Domain Adaptation, and Causal Inference Message-ID: <7f54a96890a944c6af7491f76ea328ff@tudelft.nl> Missing Data, Domain Adaptation, and Causal Inference for Deep Imaging-Genetics We are looking for a postdoc who is interested in developing machine learning technology that can robustly cope with missing data and distributional mismatch and that can facilitate causal inference in the context of imaging and genetics data. The candidate should have an interest both in tackling methodological questions in these areas and in applying the insights in the context of our research project on Deep Imaging-Genetics for Osteoarthritis. The postdoc will be located in the Pattern Recognition & Bioinformatics group [Delft University of Technology], an active and lively research group consisting of researchers in pattern recognition and machine learning, computer vision, socially perceptive computing, and bioinformatics. As part of the overarching project on Deep Imaging-Genetics for Osteoarthritis, another postdoc will be working at the Biomedical Imaging Group Rotterdam [Erasmus Medical Center] with whom we aim to collaborate closely. We are looking for an enthusiastic postdoctoral researcher with the following qualifications and skills - A Ph.D. degree - Extensive experience with machine learning - Experience with [theory of] missing data, domain adaptation and/or causal inference - Interest in research into medical image data and genomics - Good programming skills - An open mind - The desire to bridge the gap towards applications. Please contact Marco Loog [m.loog at tudelft.nl] or Jesse Krijthe [j.h.krijthe at tudelft.nl] with any questions. Applications should be sent to m.loog at tudelft.nl. From marius.bilasco at univ-lille1.fr Tue Feb 4 09:10:47 2020 From: marius.bilasco at univ-lille1.fr (Ioan Marius BILASCO) Date: Tue, 4 Feb 2020 15:10:47 +0100 Subject: Connectionists: CFP - CBMI 2020 - Lille, France, 2-4 September 2020 Message-ID: <368B39EC-92F8-4AA7-A4B6-584F4A2C81CF@univ-lille1.fr> Content-Based Multimedia Indexing - CBMI 2020 Lilliad learning center, University of Lille, Cit? scientifique, Villeneuve d?Ascq, France, 2-4 September 2020 http://cbmi2020.univ-lille.fr CBMI (eighteenth edition) aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. Topics of interest to the CBMI community include, but are not limited to, the following: audio and visual and multimedia indexing, multimodal and cross-modal indexing, deep learning for multimedia indexing, visual content extraction, audio (speech, music, etc.) content extraction, identification and tracking of semantic regions and events, social media analysis? The eighteenth edition of CBMI will be organized by the CRIStAL laboratory at University of Lille, Lille, France, following the successful previous editions of Toulouse 1999, Brescia 2001, Rennes 2003, Riga 2005, Bordeaux 2007, London 2008, Chania 2009, Grenoble 2010, Madrid 2011, Annecy 2012, Veszprem 2013, Klagenfurt 2014, Prague 2015, Bucharest 2016, Firenze 2017, La Rochelle 2018, and Dublin 2019. Authors are encouraged to submit previously unpublished research papers in the broad field of content-based multimedia indexing and applications. We wish to highlight significant contributions addressing the main problem of search and retrieval but also the related and equally important issues of multimedia content management, user interaction, large-scale search, learning in retrieval, social media indexing and retrieval. Additional special sessions are planned in areas such as deep learning for retrieval, social media retrieval, cultural heritage, surveillance and security. Authors can submit full length (6 pages - to be presented as oral presentation) or short papers (4 pages - to be presented as posters). Papers can be submitted to the regular paper sessions, demo session, or to one of the special sessions. Additionally demonstration papers (up to 4 pages) may also be submitted that highlight interesting and novel demos of CBMI-related technologies. The submissions are peer reviewed in a single blind process. The language of the conference is English. The CBMI 2020 conference adheres to the IEEE paper formatting guidelines. When preparing your submission, please follow the IEEE guidelines given by IEEE at the Manuscript Templates for Conference Proceedings. The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field (e.g. MTAP - Springer), and other best papers will be invited to submit extended versions of their contributions in a book (ISTE/WILEY publisher). Topics of interest to the CBMI community include, but are not limited to, the following: ? Audio and visual and multimedia indexing ? Multimodal and cross-modal indexing ? Deep learning for multimedia indexing ? Visual content extraction ? Audio (speech, music, etc) content extraction ? Identification and tracking of semantic regions and events ? Social media analysis ? Metadata generation, coding and transformation ? Multimedia information retrieval (image, audio, video, text) ? Mobile media retrieval ? Event-based media processing and retrieval ? Affective/emotional interaction or interfaces for multimedia retrieval ? Multimedia data mining and analytics ? Multimedia recommendation ? Large scale multimedia database management ? Summarization, browsing and organization of multimedia content ? Personalization and content adaptation ? User interaction and relevance feedback ? Multimedia interfaces, presentation and visualization tools ? Evaluation and benchmarking of multimedia retrieval systems ? Applications of multimedia retrieval, e.g., medicine, lifelogs, satellite imagery, video surveillance ? Cultural heritage applications Important Information: Contact: cbmi2020-organisation at univ-lille.fr Deadline for special session proposals: 08 February 2020 Deadline for regular paper and demo submissions: 13 May 2020 Easychair submission page: https://easychair.org/conferences/?conf=cbmi2020 Program commitee chairs: Klaus Schoeffman (Klagenfurt University, Austria) Cathal Gurrin (Dublin City University, Ireland) Special session chair: Marcel Worring (University of Amsterdam, Netherlands) Demo chairs: Gylfi ??r Gu?mundsson (Reykjavik University, Iceland) Hassen Drira (IMT Lille Douai, France) ? Ioan Marius BILASCO CRIStAL CNRS - UMR 9189 Cit? Scientifique 59650 Villeneuve d'Ascq Cedex - France https://pro.univ-lille.fr/marius-bilasco/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From laura.sevilla.lara at gmail.com Tue Feb 4 14:06:06 2020 From: laura.sevilla.lara at gmail.com (Laura Sevilla) Date: Tue, 4 Feb 2020 19:06:06 +0000 Subject: Connectionists: CFP: Computer Vision for Agriculture (CV4A) Workshop at ICLR 2020 Message-ID: [Apologies if you receive multiple postings - Please help us disseminate to all possibly interested lists] ############################################################################################### CALL FOR PAPERS ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A) April 26 2020, Addis Ababa, Ethiopia Conference Website: https://www.cv4gc.org/cv4a2020 -- In conjunction with the International Conference on Representation Learning (ICLR) 2020 IMPORTANT DATES Paper submission deadline : February 14, 2020 Notification of acceptance : February 25, 2020 Workshop : April 26, 2020 Challenge close : Mid-March 2020 ############################################################################################### Artificial intelligence has invaded the agriculture field during the last few years. From automatic crop monitoring via drones, smart agricultural equipment, food security and camera-powered apps assisting farmers to satellite imagery based global crop disease prediction and tracking, computer vision has been a ubiquitous tool. This workshop aims to expose the fascinating progress and unsolved problems of computational agriculture to the AI research community. It is jointly organized by AI and computational agriculture researchers and has the support of CGIAR, a global partnership that unites international organizations engaged in agricultural research for a food-secure future. Computer Vision for Agriculture (CV4A) is the second workshop of the Computer Vision for Global Challenges initiative and will focus on agriculture. It will be held in April 2020, in conjunction with the International Conference on Representation Learning (ICLR), in Addis Ababa, Ethiopia. It will be a full-day event and will feature invited speakers, poster and spotlight presentations, a panel discussion and (tentatively) a mentoring/networking dinner. CHALLENGES AND COMPETITIONS CV4A will feature two open challenges, both hosted on the African platform Zindi : * The CGIAR Wheat Rust Detection Challenge * The Radiant Earth Foundation Crop Classification using Earth Observations Challenge Both challenges will feature *cash prizes and travel grants for the top performing submission*, as well as the top performing submission from an African researcher and the top performing submission from a female-identified African researcher. More details coming soon! CALL FOR PAPERS We invite researchers to submit their recent work on Computer Vision applications, tasks and challenges inspired by and applied to agriculture, with a special focus on developing regions. Topic include but are not limited to: - Crop health (pests, diseases, plant nutrient deficiencies) and crop yield estimation. - Crop type recognition from ground and/or satellite imagery. Such data can be used to target interven- tions, assess risk, evaluate the impact of programs. - Artificial intelligence for bottom-up, farmer-led crop improvement. - Hyper-spectral (e.g. NIR, MIR, x-ray fluorescence) imaging for detecting early-stage or physiological issues in crops (e.g. photosynthetic activity, water stress, nutrient stress). - Whole-field, multi-view crop diagnostics. - Computer vision methods for food security, index insurance, drought/flood early warning systems. - Multi-modal integration of data from diverse sensors. - Crowdsourcing agricultural data. - Papers will be presented as poster and oral presentations. There will be *some travel support* to presenters. Researchers based in developing regions are strongly encouraged to submit PAPER SUBMISSION Up to four pages papers in PDF format, with unlimited pages for references. To prepare your submission to the CV4A workshop, please use the ICLR 2020 LaTex style files. The review process is double-blind. Submissions will be handled via CMT: https://cmt3.research.microsoft.com/CV4A2020 PEOPLE - Workshop organizers Yannis Kalantidis (Naver Labs Europe) Laura Sevilla-Lara (University of Edinburgh) Ernest Mwebaze (Google AI Ghana) Dina Machuve (Nelson Mandela African Institution of Science and Technology) - Challenge Organizers Hamed Alemohammad (Radiant Earth Foundation) David Guerena (CIMMYT) - Essential Collaborators Drew Westbury (Facebook) Celina Lee (Zindi) Jamie Yang (Facebook) Brian King (CGIAR Platform for Big Data in Agriculture) Lorenzo Torresani (Facebook AI and Dartmouth) Timnit Gebru (Google AI) John Quinn (Makerere University & Google AI Ghana) Larry Zitnick (University of Washington & Facebook AI) Jitendra Malik (UC Berkeley & Facebook AI) -------------- next part -------------- An HTML attachment was scrubbed... URL: From wermter at informatik.uni-hamburg.de Wed Feb 5 04:27:00 2020 From: wermter at informatik.uni-hamburg.de (Wermter, Stefan) Date: Wed, 5 Feb 2020 10:27:00 +0100 Subject: Connectionists: [jobs] Knowledge Technology for Intelligent Neural Systems Message-ID: <0a748252-c2fd-0467-5bac-46f595a884c8@informatik.uni-hamburg.de> The Department of Informatics, Knowledge Technology Institute invites applications for a RESEARCH ASSOCIATE Knowledge Technology for Intelligent Systems - SALARY LEVEL 13 TV-L - As a University of Excellence, the University of Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally. The position in accordance with Section 28 subsection 1 of the Hamburg higher education act (Hamburgisches Hochschulgesetz, HmbHG) commences on 1? March? 2020? or? as? soon? as possible. This is a fixed term contract in accordance with Section 2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The initial fixed term is three years. The position calls for 100% of standard work hours per week. Responsibilities: Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate?s own academic work. Specific Duties: The successful candidate will contribute to teaching related to the Knowledge Technology Institute (4hrs/teaching week), in particular to Data-driven Intelligent Systems, but also to Research Methods or Bio-inspired Artificial Intelligence. Furthermore, the candidate is expected to conduct research in the area of Knowledge Technology and Intelligent Systems, in particular Neural Networks and Human-Robot Interaction. PhD candidates have the opportunity to advance their academic education through the completion of a doctoral dissertation. Requirements: A university degree in a relevant field. Academic degree in computer science qualifying the post holder to carry out the above-mentioned duties. In particular, an MSc or equivalent in the area of Intelligent Systems is desired. Your demonstrated research interests should be in the areas of Knowledge Technology and Intelligent Systems (e.g. Neural Networks, Intelligent Robotics, Natural Language Processing, Vision, or Hybrid Knowledge Representation etc). Publication experience is desirable. We are looking for very good communication skills and evidence for teamwork. A very good command of both German and English is a requirement for teaching and research. The Free and Hanseatic City of Hamburg promotes equal opportunity. As women are currently underrepresented in this job category at Universit?t Hamburg according to the evaluation conducted under the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HambGleiG), we encourage women to apply for this position. Equally qualified and suitable female applicants will receive preference. Qualified disabled candidates or applicants with equivalent status receive preference in the application process. For further information, please contact Prof. Dr. Stefan Wermter (wermter at informatik.uni-hamburg.de) or consult our website at https://www.informatik.uni-hamburg.de/wtm/. Applications should include a cover letter, a tabular curriculum vitae, language certificates German and English, and copies of degree certificate(s).? Please send applications by 15 February 2020 or before the position gets filled to: Ms Katja Koesters (katja.koesters at informatik.uni-hamburg.de) in a single pdf document . Please do not submit original documents as we are not able to return them. Any documents sub-mitted will be destroyed after the application process has concluded. *********************************************** Professor Dr. Stefan Wermter Director of Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de https://www.informatik.uni-hamburg.de/WTM/ *********************************************** From veronica.bolon at udc.es Wed Feb 5 06:23:34 2020 From: veronica.bolon at udc.es (=?utf-8?B?VmVyw7NuaWNhIEJvbMOzbiBDYW5lZG8=?=) Date: Wed, 5 Feb 2020 11:23:34 +0000 Subject: Connectionists: 2nd CFP ECAI Workshop TrustFinTechAI Message-ID: [Apologies if you receive multiple copies of this CFP] 2nd Call for papers: Workshop on "Trustworthy AI: challenges in Financial Technology (TrustFinTechAI)" at ECAI 2020 UPDATE: best paper award (200 euros) and extension of selected papers in JCR journal added! 24th European Conference on Artificial Intelligence (ECAI 2020) June 8, 2020 - Santiago de Compostela, Spain - https://sites.google.com/view/trustfintechai2020/home Trustworthy AI: challenges in Financial Technology (TrustFinTechAI) Organized by: Bertha Guijarro-Berdi?as, Veronica Bolon-Canedo (CITIC - University of A Coru?a, Spain), David Mart?nez-Rego(Data Spartan, UK) Financial technology (FinTech) refers to a set of technologies that seek to improve or automate financial services. These services can only internally affect the financial company itself to make it more competitive or they can also affect its clients to allow them to better manage their operations and assets. Therefore these technologies can cover a very wide range of services. The financial industry in general follows with great interest the technological advances, and it is evident that financial technologies have caused a disruptive change in the last years without precedents in the sector. Big banks such as JP Morgan or Bank of America have been early adopters of disruptive technologies. With no doubt machine learning is one of the technologies that has transformed this sector the most as the available data is abundant. Thus, we can find applications to analyze the risk levels of an operation or client, product recommendation systems for investors and clients, analysis of economic trends, financial coaching, prediction of customer abandonment ... Some examples that give an idea of ??success of FinTech can be found in the Bank of America whose financial assistance bot reached one million users in three months, or in JP Morgan that thanks to the automatic analysis has managed to release 360,000 hours of workload annually. According to the EY FinTech Adoption Index (ey.com.), FinTech users increased from one in seven digitally active consumers in 2015 to one in three in 2017. However, almost all machine learning applications in FinTech must deal with sensitive and risk-taking operations. For this reason FinTech is specially challenged and the industry demands new conditions for the operation of these algorithms. These conditions involve issues such as data Trust, Fairness, Privacy, Trustworthy and Explainable data analysis at all stages in the machine learning project pipeline: from data preparation to deployment. We encourage submissions from, but not limited to, the following list of topics in relation to FinTech: * Fairness, bias and causality * Explainability * Ethical AI * Privacy preservation * Robustness * Model obsolescence and maintenance Two types of contributions are admitted: * Scientific papers, which report novel research and must not exceed seven pages plus one of only references * Highlight papers, which are two pages abstracts (including references) that highlight your favorite recent technical work (possibly appeared elsewhere), position, or open problems with clear and concise formulations of current challenges. The aim of these papers is highlighting important results to a wide audience. According to the ECAI reviewing process Scientific papers will be evaluated based on their scientific value: relevance, significance of contribution, impact, technical quality, scholarship and quality of presentation. Highlight papers are evaluated against the same criteria although, Relevance, Significance, Novelty and Technical quality, refer to the work reported and not the paper itself, and the paper would be of interest to the attendees. All papers must be original and not simultaneously submitted to another journal or conference. All kind of papers should be formatted according to the ECAI2020 formatting style. Details are available at ECAI2020 website. Submission and review of papers for this Workshop will be managed via Easychair: https://easychair.org/conferences/?conf=trustfintechai20 Extended versions of selected papers will be published in a Special Number of International Journal of Interactive Multimedia and Artificial Intelligence to be published in 2021. From 2015 to 2018 IJIMAI was indexed at Web of Science through Emerging Science Citation Index. This year, Clarivate Analytics has accepted the inclusion of IJIMAI in the Journal Citation Reports. A prize of 200 euros, supported by Everis Spain, will be awarded to the best paper of the workshop. IMPORTANT DATES: Paper submission deadline: March 15th, 2020 Paper decision notification: April 15th, 2020 TrustFinTechAI workshop: June 8th, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Wed Feb 5 05:46:50 2020 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Wed, 5 Feb 2020 10:46:50 +0000 Subject: Connectionists: ESANN 2020 program available Message-ID: We apologize for possible duplicates of this message sent to distribution lists. ESANN 2020: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 22-23-24 April 2020 https://www.esann.org/. The preliminary program of the ESANN 2020 conference is now available: https://www.esann.org/. For 28 years the ESANN conference has become a major event in the field of neural computation and machine learning. ESANN is a selective conference focusing on fundamental aspects of artificial neural networks, machine learning, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. ESANN 2020 will include the following sessions: - Adversarial learning, robustness and fairness - Image and signal processing, matrix computations and topological data - Deep learning and graph neural networks - Machine Learning Applied to Computer Networks - Quantum Machine Learning - Recurrent networks and reinforcement learning - Unsupervised learning - Feature selection and dimensionality reduction - Statistical learning and optimization - Tensor Decompositions in Deep Learning - Image and text analysis - Learning from partially labeled data - Machine learning in the pharmaceutical industry - Frontiers in Reservoir Computing - Language processing in the era of deep learning - Supervised learning The program of the conference can be found at https://www.esann.org/, together with practical information about the conference venue, registration, etc. The conference will be held in Bruges (also called "Venice of the North"), one of the most beautiful medieval towns in Europe. Bruges can be reached by train from Brussels in less than one hour (frequent trains). Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen Univ. Cath. de Louvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From timothee.masquelier at alum.mit.edu Wed Feb 5 09:52:56 2020 From: timothee.masquelier at alum.mit.edu (=?UTF-8?Q?Timoth=C3=A9e_Masquelier?=) Date: Wed, 5 Feb 2020 15:52:56 +0100 Subject: Connectionists: GdR BioComp - Banyuls, France - May 3-7 Message-ID: The next BioComp conference will take place in Banyuls, in the south of France, from Sunday 3th May evening until Thursday 7th May noon. The goal of the BioComp conference is to facilitate interdisciplinary exchanges around bio-inspired hardware systems. The conference associates contributions from all concerned disciplines: biology, computational neuroscience, mathematics, computer architecture and computer systems, microelectronics, nanotechnology and physics. http://gdr-biocomp.fr/biocomp-conference-2020/ Call for abstracts If you'd like to speak or present a poster at BioComp2020, please send a title and abstract (15 lines max) to: gdr.biocomp at gmail.com *BEFORE March 15th*, specifying oral presentation or poster. We will inform you of the final decision before April 1st. Invited speakers - Fabrice Arcizet, Institut de la Vision, *Retinas and other therapeutic strategies for visual restoration* - Sylvain Barbay, C2N Palaiseau France, *Microlasers for neuromorphic computing* - Demian Battaglia, Institut de neuroscience des syst?mes, Marseille, France, *Dynamics and computation in the brain* - Guillaume Bellec, EPFL, Lausanne, Switzerland, *Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets* - Michela Chiappalone, Istituto Italiano di Technologia, Genova, *Closed-loop neuroprostheses to restore neuronal communication* - Iulia Comsa, Google Research Zurich, Switzerland, *Temporal coding in spiking neural networks* - Maxence Ernoult, C2N et CNRS/Thales, Palaiseau France, *Training Recurrent Neural Networks through Equilibrium Propagation * - Yan Fang, Georgia Tech, USA, *Materials that compute* - Douglas McLelland, Brainchip, USA, *Akida System on Chip for neural networks* - Michel Paindavoine, Yumain, Dijon, *Neuromorphic camera* - Laurent Perrinet, Institut de Neurosciences de la Timone, *Large scale neural network models of low-level vision, perception and action* - Javier Porte, Femto-ST, Besan?on France, *Optical neural networks* - Jean Rouat, Universit? de Sherbrooke, Canada, *Spike Timing Dependent Plasticity* - Sylvain Sa?ghi, IMS Bordeaux France, *Presentation of Neurotech EU network* - Aida Todri-Sanial, LIRMM Montpellier France, *Oscillatory Neural Networks with 2D materials* - Adrien Vincent, IMS Bordeaux France, *Hardware Spiking Neural Networks* - Mohammed Fouda, UCI Registration Registration is mandatory for all participants. The registration fee of 168? covers : - For PhD students and post-docs: access to the conference room and poster sessions, coffee breaks, meals (except for the free evening) and accommodation. - For permanent researchers and industrialists: access to the conference room and poster sessions, coffee breaks, meals (except for the free evening). Registration procedure 1. Go to the registration page https://www.azur-colloque.fr/DR15/inscription/inscription/266 Attention: It is IMPERATIVE to go through the whole procedure to be correctly registered, and in particular to PAYMENT. It is not possible to return to the registration page afterwards to complete it! 2. The possible means of payment are : - credit cards, - order forms for French public institutions Make sure you have all the necessary information and the payment method you have chosen before starting the procedure. *Thank you and see you soon under the sun of Banyuls!* The BioComp team -------------- next part -------------- An HTML attachment was scrubbed... URL: From inesdomingues at gmail.com Wed Feb 5 13:48:37 2020 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Wed, 5 Feb 2020 18:48:37 +0000 Subject: Connectionists: IWBF 2020 :: Porto, Portugal :: CALL FOR PAPERS | DEMOS | DOCTORAL CONSORTIUM :: SUBMISSIONS DEADLINE APPROACHING! In-Reply-To: References: Message-ID: **************************************************** Apologies for multiple postings **************************************************** Please feel free to redistribute! ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- IWBF 2020 CALL FOR PAPERS & DEMOS & DOCTORAL CONSORTIUM ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- IWBF 2020 | 8th International Workshop on Biometrics and Forensics | April 29-30, 2020 | Porto, Portugal The International Workshop on Biometrics and Forensics (IWBF) is devoted to facilitating synergies in research and development among the areas of multimedia forensics, forensic biometrics, and forensic science. IWBF 2020 is jointly organized by EAB; INESC TEC, Porto, Portugal and NTNU, Gjovik, Norway. For more information please visit vcmi.inesctec.pt/iwbf2020 ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- IMPORTANT DATES ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- Papers / Demos / Doctoral Consortium Submission Deadline: February 15, 2020 Demos Decision Notification: *February 29**,* 2020 Papers/ Doctoral Consortium Decision Notification: March 05, 2020 Demo Session / Doctoral Consortium: April 29, 2020 Conference: April 29-30, 2020 The paper submission platform is already open. Don't miss the deadline and submit your work! --------------------------------------------------------------------------------------------------------------------------------------------------------------------- IWBF 2020 SPEAKERS --------------------------------------------------------------------------------------------------------------------------------------------------------------------- *Peter Eisert*, Humboldt University Berlin & Fraunhofer Institute for Telecommunications - HHI Berlin *Zeno Geradts*, Netherlands Forensic Institute & University of Amsterdam ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- EXTENDED VERSIONS & PRIZES ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- *Extended versions:* Authors of the best papers will be invited to publish extended versions in a special issue in IEEE TBIOM. *Awards:* The *best IWBF 2020 paper* will be awarded a monetary prize - "Computers Journal Best Paper Award" - sponsored by MDPI's Computers. ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- DEMOS SESSION & DOCTORAL CONSORTIUM ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- Demos: The IWBF 2020 organisers invite academia, industry researchers and practitioners to showcase their work in biometrics and forensics through demonstrations. We are searching for interactive displays of innovative methods, systems and applications within the workshop?s topics of interest. The accepted submissions will be published in the workshop proceedings at IEEE Xplore Digital Library. Questions about the Demos should be addressed by email to Demo Chair, Jo?o Ribeiro Pinto (joao.t.pinto at inesctec.pt). Doctoral Consortium: The IWBF Doctoral Consortium is a great opportunity for current/prospective Ph.D. students to present their ideas and/or ongoing research, meet other researchers and obtain feedback from well-known advisers about possible directions for their future research. One mentor will be nominated for each candidate/student and the discussions will be organized into both bilateral and multilateral meetings. The accepted submissions will be presented at the Doctoral Consortium and published in the workshop proceedings at IEEE Xplore Digital Library. Questions about the Doctoral Consortium should be addressed by email to Program Chair & Doctoral Consortium Chair, Hugo Proen?a (hugomcp at di.ubi.pt). ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- TOPICS OF INTEREST ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- - Multimedia forensics including identification of source devices and source-oriented image clustering; - Integrity verification and authentication of digital content; - Watermarking schemes for ownership identification, ownership proof, and copy control; - Forensic behavioural biometrics; - People identification based on face, iris, fingerprint and soft biometric traits; - Biometric analysis of crime scene traces and their forensic interpretation; - Combination of multimodal biometrics with other forensic evidence; - Biometric-based cybercrime investigation; - Video surveillance for estimation of age, gender and others such as abnormal behaviour/event detection; - Biometric and non-biometric data de-identification; - Resilience of biometric systems to presentation and morphed attacks; - Detection and mitigation of adversarial attacks on biometric systems; - Explainable AI in biometric recognition and presentation attack detection; - Ethical and societal implications of emerging biometrics and forensics modalities; - Emerging threats on biometrics such as Deepfake attacks and detection methods; - Large-scale deployment of biometric recognition systems; - Case studies of the aforementioned topics. ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- CONTACTS ---------------------------------------------------------------------------------------------------------------------------------------------------- ----------------- General Chair & Academic Questions Jaime S. Cardoso (jaime.cardoso at inesctec.pt) University of Porto & INESC TEC, Porto, Portugal Workshop Local Organisation Ana Filipa Sequeira (ana.f.sequeira at inesctec.pt) INESC TEC, Porto, Portugal -- Best regards, Jaime Cardoso & Raghavendra Ramachandra (General chairs) Lena Klas?n & Andreas Uhl & Hugo Proen?a (Program Chairs) Ana F. Sequeira & Kiran Raja (Local organising chairs) _______________________________________________ VCMI mailing list VCMI at lists-utm.inesctec.pt https://lists-utm.inesctec.pt/cgi-bin/mailman/listinfo/vcmi -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: IWBF2020_CfP.pdf Type: application/pdf Size: 1084045 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: IWBF2020_CfD.pdf Type: application/pdf Size: 1091255 bytes Desc: not available URL: From arminmustafa at gmail.com Wed Feb 5 16:42:10 2020 From: arminmustafa at gmail.com (armin mustafa) Date: Wed, 5 Feb 2020 21:42:10 +0000 Subject: Connectionists: DynaVis CVPR 2020 Workshop - Call for Papers In-Reply-To: References: Message-ID: Please circulate this call for papers ****************************************** DynaVis: The Second International Workshop on Dynamic Scene Reconstruction https://dynavis.github.io/ Workshop at CVPR 2020, Seattle, Washington Organizers: Armin Mustafa, Marco Volino, Michael Zollh?fer, Dan Casas, Christian Richardt, Adrian Hilton Keynote Speakers - Prof. Yaser Sheikh Director, Oculus Research Pittsburgh, and Carnegie Mellon University - Prof. Raquel Urtasun (tbc) Uber ATG Chief Scientist and the Head of Uber ATG Toronto, University of Toronto Call for contributions Reconstruction of general dynamic scenes is motivated by potential applications in film and broadcast production together with the ultimate goal of automatic understanding of real-world scenes from distributed camera networks. With recent advances in sensor hardware and the advent of learning-based approaches as well as virtual and augmented reality, dynamic scene reconstruction is being applied to ever more complex scenes with applications in healthcare, security, education, and entertainment, including games, film and VR/AR. We welcome contributions to this workshop in the form of oral presentations, posters, and demos. Suggested topics include, but are not limited to: - Dynamic 3D reconstruction from single, stereo or multiple views - Learning-based methods in dynamic scene reconstruction and understanding - Multi-modal dynamic scene modelling (RGBD, LIDAR, 360 videos, light fields) - 4D reconstruction and modelling - 3D/4D data acquisition, representation, compression, and transmission - Scene analysis and understanding in 2D and 3D - Structure from motion, camera calibration, and pose estimation - Digital humans: motion and performance capture, bodies, faces, hands - Geometry processing - Computational photography - Appearance reconstruction and modeling: materials, reflectance, illumination - Scene modelling in the wild, moving cameras, handheld cameras - Applications of dynamic scene reconstruction (VR/AR, character animation, free-viewpoint video, relighting, medical imaging, creative content production, animal tracking, HCI, sports) We welcome submissions from both industry and academia, including interdisciplinary work and work from outside of the mainstream computer vision community. We also welcome submissions from the CVPR main conference, regardless of their acceptance. Submission website: https://cmt3.research.microsoft.com/DYNAVIS2020 Prizes Best Paper will receive an NVIDIA Geforce RTX 2080 GPU, courtesy of our main sponsor NVIDIA. Important Dates Paper submission deadline: *Friday, 6 March 2020* Notification to authors: Monday, 23 March 2020 Camera-ready deadline: Friday, 3 April 2020 Best Regards, Conference chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From cshelton at cs.ucr.edu Wed Feb 5 10:59:25 2020 From: cshelton at cs.ucr.edu (Christian Shelton) Date: Wed, 5 Feb 2020 07:59:25 -0800 Subject: Connectionists: MLHC: Call for Submissions Message-ID: <20200205155925.GA12706@caylus> Call for Submissions MLHC -> Machine Learning for Healthcare Conference 2020 What: conference on data-driven healthcare When: August 6-8, 2020 Where: Durham, NC Website: https://www.mlforhc.org/ ------------------------------------------------------------------- Researchers in machine learning --- including those working in statistical natural language processing, computer vision, and related sub-fields --- when coupled with seasoned clinicians can play an important role in turning complex medical data (e.g., individual patient health records, genomic data, data from wearable health monitors, online reviews of physicians, medical imagery, etc.) into actionable knowledge that ultimately improves patient care. For several years, MLHC has drawn together hundreds of clinical and machine learning researchers to discuss machine learning solutions clinicians need solved. We invite submissions that advance our understanding of machine learning in the context of healthcare. Submissions may be methods oriented, describing ways to address the challenges inherent to health-related data (e.g., sparsity, class imbalance, causality, temporal dynamics, multi-modal data). They may also be more application-oriented, including evaluations and analyses of state-of-the-art machine learning approaches applied to health data in deployed/prototyped systems. Submissions will be reviewed by both computer scientists and clinicians. This year we are calling for papers in two tracks: a research paper track and a clinical abstract+software/demo track. Accepted papers will be archived through the Proceedings of Machine Learning Research (JMLR Proceedings track). Examples of topic areas include: *Predicting individual patient outcomes *Mining, processing and making sense of clinical notes *Patient risk stratification *Parsing biomedical literature *Bio-marker discovery *Brain imaging technologies and related models *Learning from sparse/missing/imbalanced data *Time series analysis with medical applications *Medical imaging *Efficient, scalable processing of clinical data *Clustering and phenotype discovery *Methods for vitals monitoring *Feature selection/dimensionality reduction *Text classification and mining for biomedical literature *Exploiting and generating ontologies *ML systems that assist with evidence-based medicine Regardless of the topic, our main interest is in papers that teach us something, that give us some new insights into machine learning in the context of healthcare. --- Submission Details --- Research Track: Full papers are expected (in the range of 12-15 pages) The review process is double blind. Please refer to the submission instructions on our website, including tips on what makes a great MLHC paper and required content. All papers will be rigorously peer-reviewed, and research that has been previously published elsewhere or is currently in submission may not be submitted. Accepted papers will be published through the Proceedings of Machine Learning Research. Clinical Abstract and Software/Demo Track: We also have a non-archival track two very specific categories of papers: Clinical abstracts share open clinical problems and celebrate translational achievements. The first author and presenter of a clinical abstract track submission must be an MD/RN/clinician. Software/demos share a tool for the community to use (which generally means open source). Abstracts will not be archived. --- Important Dates --- Paper Submission Deadline - Friday March 20th, 2020 6PM EDT Acceptance Notification - Friday June 5th, 2020 Program Chairs: Finale Doshi, PhD (Harvard University), James Fackler, MD (Johns Hopkins), Kenneth Jung, PhD (Stanford University), David Kale (USC), Rajesh Ranganath, PhD (NYU), Michael Sjoding, MD (University of Michigan), Byron Wallace, PhD (Northeastern), Jenna Wiens, PhD (University of Michigan) From marius.bilasco at univ-lille1.fr Thu Feb 6 08:26:30 2020 From: marius.bilasco at univ-lille1.fr (Ioan Marius BILASCO) Date: Thu, 6 Feb 2020 14:26:30 +0100 Subject: Connectionists: CFP Special Sessions - Content-based Multimedia Indexing - CBMI 2020 Message-ID: <5B3F76BF-11C6-4540-AF28-BA260C50205C@univ-lille1.fr> CBMI (eighteenth edition) aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. Topics of interest to the CBMI community include, but are not limited to, the following: audio and visual and multimedia indexing, multimodal and cross-modal indexing, deep learning for multimedia indexing, visual content extraction, audio (speech, music, etc.) content extraction, identification and tracking of semantic regions and events, social media analysis, ... The eighteenth edition of CBMI will be organized by the CRIStAL laboratory at University of Lille, Lille, France, following the successful previous editions of Toulouse 1999, Brescia 2001, Rennes 2003, Riga 2005, Bordeaux 2007, London 2008, Chania 2009, Grenoble 2010, Madrid 2011, Annecy 2012, Veszprem 2013, Klagenfurt 2014, Prague 2015, Bucharest 2016, Firenze 2017, La Rochelle 2018, and Dublin 2019. CBMI aims to host two special sessions during the conference. Special sessions are mini-venues, each focusing on topic within the content-based multimedia indexing field which is not directly covered by the list of topics for the conference, but which are beneficial to the community. Special session should include four to five papers, which can be invited, or regular submissions. Special session papers will supplement the regular research papers and be included in the proceedings of CBMI 2020. In order to ensure the high quality of all conference papers, all papers submitted to special sessions at CBMI 2020 will be peer-reviewed through a standard review process, including invited papers. If a special session has many high-quality submissions, some of the submissions may potentially be moved to regular sessions. The organizers of each special session must provide 1-2 reviews per submitted/invited paper, while the regular program committee will provide 1-2 reviews. Final decision on acceptance/rejection will be made in collaboration between the special session chair (Marcel Worring, University of Amsterdam, Netherlands) and CBMI 2020 TPC chairs (Klaus Schoeffman - Klagenfurt University - Austria and Cathal Gurrin - Dublin City - University, Ireland). Deadline for special session proposals: 08 February 2020 Contacts : cbmi2020-organisation at univ-lille.fr Special session chair : Marcel Worring (University of Amsterdam, Netherlands) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Thu Feb 6 09:49:20 2020 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Thu, 6 Feb 2020 09:49:20 -0500 Subject: Connectionists: NEURAL NETWORKS, Feb. 2020 Message-ID: Neural Networks - Volume 122, Feb. 2020 http://www.journals.elsevier.com/neural-networks Learning Cascade Attention for fine-grained image classification Youxiang Zhu, Ruochen Li, Yin Yang, Ning Ye The robustness-fidelity trade-off in Grow When Required neural networks performing continuous novelty detection Lenka Pitonakova, Seth Bullock Multistability and attraction basins of discrete-time neural networks with nonmonotonic piecewise linear activation functions Peng Wan, Dihua Sun, Min Zhao, Li Wan, Shuang Jin Affinity and class probability-based fuzzy support vector machine for imbalanced data sets Xinmin Tao, Qing Li, Chao Ren, Wenjie Guo, ... Junrong Zou New approach to global Mittag-Leffler synchronization problem of fractional-order quaternion-valued BAM neural networks based on a new inequality Jianying Xiao, Shiping Wen, Xujun Yang, Shouming Zhong Local distinguishability aggrandizing network for human anomaly detection Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang Spiking Neural Networks applied to the classification of motor tasks in EEG signals Carlos D. Virgilio G., Juan H. Sossa A., Javier M. Antelis, Luis E. Falcon A complementary learning systems approach to temporal difference learning Sam Blakeman, Denis Mareschal Person identification using fusion of iris and periocular deep features Saiyed Umer, Alamgir Sardar, Bibhas Chandra Dhara, Ranjeet Kumar Rout, Hari Mohan Pandey Multi-label zero-shot human action recognition via joint latent ranking embedding Qian Wang, Ke Chen Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms Robert A. Baxter, William B Levy A new learning paradigm for random vector functional-link network: RVFL+ Peng-Bo Zhang, Zhi-Xin Yang Regularized correntropy criterion based semi-supervised ELM Jie Yang, Jiuwen Cao, Tianlei Wang, Anke Xue, Badong Chen A review of learning in biologically plausible spiking neural networks Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, ... T.M. McGinnity Perceptrons from memristors Francisco Silva, Mikel Sanz, Joao Seixas, Enrique Solano, Yasser Omar Partition level multiview subspace clustering Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, ... Zenglin Xu A review on neural network models of schizophrenia and autism spectrum disorder Pablo Lanillos, Daniel Oliva, Anja Philippsen, Yuichi Yamashita, ... Gordon Cheng Generative adversarial networks with mixture of t-distributions noise for diverse image generation Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, ... Kaizhu Huang Simultaneously learning affinity matrix and data representations for machine fault diagnosis Yue Li, Yijie Zeng, Tianchi Liu, Xiaofan Jia, Guang-Bin Huang Realistic spiking neural network: Non-synaptic mechanisms improve convergence in cell assembly Damien Depannemaecker, Luiz Eduardo Canton Santos, Antonio Marcio Rodrigues, Carla Alessandra Scorza, ... Antonio-Carlos Guimaraes de Almeida A broad class of discrete-time hypercomplex-valued Hopfield neural networks Fidelis Zanetti de Castro, Marcos Eduardo Valle Effects of infinite occurrence of hybrid impulses with quasi-synchronization of parameter mismatched neural networks Rakesh Kumar, Subir Das, Yang Cao A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints Yan Zhao, Qingshan Liu L1-gain filter design of discrete-time positive neural networks with mixed delays Shunyuan Xiao, Yijun Zhang, Baoyong Zhang On the accuracy and computational cost of spiking neuron implementation Sergio Valadez-Godiez, Humberto Sossa, Rau Santiago-Montero Multistability of switched neural networks with sigmoidal activation functions under state-dependent switching Zhenyuan Guo, Shiqin Ou, Jun Wang Model-based optimized phase-deviation deep brain stimulation for Parkinson's disease Ying Yu, Yuqing Hao, Qingyun Wang Global Mittag-Leffler stability and synchronization of discrete-time fractional-order complex-valued neural networks with time delay Xingxing You, Qiankun Song, Zhenjiang Zhao A smoothing neural network for minimization - in sparse signal reconstruction with measurement noises You Zhao, Xing He, Tingwen Huang, Junjian Huang, Peng Li A human-in-the-loop deep learning paradigm for synergic visual evaluation in children Kai Zhang, Xiaoyan Li, Lin He, Chong Guo, ... Haotian Lin From valentina.ivanova at ri.se Thu Feb 6 06:08:54 2020 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Thu, 6 Feb 2020 11:08:54 +0000 Subject: Connectionists: [CfP] ESWC 2020 - **Less than a week left** to submit to Ph.D. Symposium and other incoming deadlines Message-ID: * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * The 17th European Semantic Web Conference (ESWC 2020) May 31st - June 4th, 2020, Heraklion, Crete, Greece. ESWC is a premier venue for discussing the latest scientific results and innovations in the field of semantic technologies on the Web and Linked Data, attracting a high number of participants from academia and industry alike. Follow us: Web Page: https://2020.eswc-conferences.org/ Twitter: @eswc_conf Facebook: https://www.facebook.com/ESWCCONF LinkedIn: https://www.linkedin.com/groups/8843932/ Become part of ESWC 2020 by submitting to the following tracks & activities! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * In this announcement: ******************************************* * Highlights 1. Call for Papers - Ph.D. Symposium https://2020.eswc-conferences.org/call-for-phd-symposium/ * Submission deadline: February 12, 2020 (**less than a week left**) 2. Call for Papers - Posters & Demos https://2020.eswc-conferences.org/call-for-posters-and-demos/ * Submission deadline: March 12, 2020 3. Call for Papers - Industry Track https://2020.eswc-conferences.org/call-for-papers-industry-track/ * Submission deadline: March 12, 2020 (All deadlines are 23:59 anywhere on earth (UTC-12)) * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Highlights ******************************************* Don?t miss interesting discussions at this year?s workshops (* Submissions deadline: Feb 28, 2020): International Workshop on Semantic Digital Twins https://sedit.linkeddata.es Deep Learning for Knowledge Graphs https://alammehwish.github.io/dl4kg_eswc_2020 Workshop on Large Scale RDF Analytics http://lascar.sda.tech/ Workshop on Humanities in the Semantic web http://whise.cc/2020/ Beyond Facts ? International Workshop on Knowledge Graphs for Online Discourse https://knod2020.wordpress.com/ IoT infrastructures for safety in pervasive environments https://mklab.iti.gr/iot4safe Workshop on Cross-lingual Event-centric Open Analytics http://cleopatra-workshop.l3s.uni-hannover.de/ 1. Call for Papers - Ph.D. Symposium ******************************************* The ESWC 2020 Ph.D. Symposium is a forum for Ph.D. students working in all areas of Semantic Web research to present their work, meet with peers and experienced researchers, receive feedback, and learn from each other?s experiences. It aims at helping Ph.D. students in developing the skills and confidence required to conduct and promote their research, as well as providing them with an opportunity to attend one of the most important research conferences on the Semantic Web. The ESWC Ph.D. Symposium will give students the opportunity to: * Learn by constructive criticism: Established researchers and Ph.D. student advisors will provide constructive feedback to the submitted papers by means of an open and non-adversarial review process. * Learn from a mentor: Each student of an accepted paper will be assigned to a mentor- a selected member of the programme committee. Students will interact with their mentors on both the revision of their papers and the preparation of their presentations. * Learn about research: Doing good research goes beyond writing a good paper; it includes perspectives on research as an endeavour and a career. Besides the presentations, coffee breaks and the Ph.D. mentoring lunch will be used to exchange ideas and ask questions about all aspects of pursuing a Ph.D. and a research career in general. * Learn by presenting: Accepted contributions will be presented at the Ph.D. Symposium. All accepted contributions will also be included at the general poster session of ESWC. Students? posters will be presented alongside posters and demonstrations of the main conference. Further info: https://2020.eswc-conferences.org/call-for-phd-symposium/ == Important Dates == Submission deadline: Feb 12, 2020 (**less than a week left**) Notification of acceptance: Mar 12, 2020 Revised version to mentor: Mar 26, 2020 Mentor?s feedback on paper: Apr 9, 2020 Final version: April 30, 2020 Draft presentation to mentor: May 7, 2020 Mentor?s feedback on presentation: May 14, 2020 Ph.D. Symposium: June 1, 2020 == Ph.D. Symposium Chairs == Maribel Acosta, Karlsruhe Institute of Technology maribel.acosta at kit.edu Axel Polleres, Vienna University of Economics and Business axel.polleres at wu.ac.at 2. Call for Papers - Posters & Demos ******************************************* The posters and demos track of ESWC, https://2020.eswc-conferences.org/, provides a forum for late-breaking results, on-going research projects, and innovative ideas, as well as prototypes of semantic technologies and their applications in various domains. Submissions to the posters and demos track may cover all areas of Semantic Web research and applications, such as Linked Data and Knowledge Graphs, Ontologies, Reasoning, Natural Language Processing and Understanding, Machine and Deep Learning, Information Retrieval, Data Quality and Data Integration, and Semantic Data Management, as well as applications from Life Sciences, eGovernment, Business, Manufacturing, eScience, Emergency and Crisis Management, Cultural Heritage, Tourism, Autonomous Systems, etc. Posters and demos will be presented in a separate, interactive session, providing the opportunity for engaging in discussions and direct exchange. Further info: https://2020.eswc-conferences.org/call-for-posters-and-demos/ == Important Dates == Submission Deadline: March 12th, 2020 Notification of Acceptance: April 9th, 2020 Camera-Ready Paper: April 30th, 2020 == Posters & Demos Chairs == Valentina Presutti, University of Bologna valentina.presutti at unibo.it Rapha?l Troncy, EURECOM raphael.troncy at eurecom.fr 3. Call for Papers - Industry Track ******************************************* The industry track seeks to present the state of adoption of semantic technologies in industrial applications, and intends to facilitate a discussion about what current industry challenges can be addressed with semantic technologies. These technologies may be used in specific industries (e.g., media, financials, telecommunications, healthcare, life sciences, government, intelligence, public sector, industrial production etc.) and in different application areas (e.g., business intelligence, smart cities, digital twin, analytics, search, content management, knowledge management, recommendation systems, data integration, automotive etc.). The industry track aims to facilitate the exchange between Semantic Web researchers and industrial solution developers to bridge between state-of-the-art research and its application in industrial scenarios. We welcome contributions about: * Success stories of adoption of semantic technologies and knowledge graphs in real-world environments, especially by emphasizing how these technologies have succeeded in creating value as well as key factors for the success of the adoption in a large-scale organization. * Experiences about challenges that are encountered in an industry setting when adopting a solution based on semantic technologies. * Contributions about current challenges in industrial fields which should be tackled by semantic technologies, emphasizing solution approaches and existing issues that are currently only insufficiently addressed by Semantic Web research. Topics of interest include, but are not limited to, the following: * Development and application of semantic technologies and knowledge graphs for specific industries (automotive, financial, healthcare and life sciences, energy industry, industry 4.0, public sector etc.) * Real-world applications of semantic technologies for enabling FAIR (meta) data * Approaches to bridge between domain experts and semantic technology experts * Successful application domains: Knowledge management, data integration, data sharing, search, Business Intelligence, data analytics, open data, enterprise data management etc. * Industrial trends related to the usage of Linked Data, Open Data and Semantic Web technologies * Financial and strategic investments in semantic technologies * Machine Learning approaches in connection with the Semantic Web (e.g. ML for knowledge graph completion or ontology matching, learning of knowledge graph and entity embeddings, question answering, etc) Further info: https://2020.eswc-conferences.org/call-for-papers-industry-track/ == Important Dates == Paper submission: March 12, 2020 Notification to authors: April 9, 2020 Camera ready papers due: April 30, 2020 == Industry Track Chairs == Javier D. Fern?ndez, F. Hoffmann-La Roche AG jfernand at wu.ac.at Josiane Xavier Parreira, Siemens AG Austria josiane.parreira at siemens.com Looking forward to your submissions! The ESWC 2020 Organising Team https://2020.eswc-conferences.org/organising-committee/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Thu Feb 6 09:50:04 2020 From: li.zhaoping at tuebingen.mpg.de (Zhaoping Li) Date: Thu, 6 Feb 2020 15:50:04 +0100 Subject: Connectionists: vision science student/postdoc positions in Zhaoping Lab, Tuebingen, Germany Message-ID: <3b056ab1-e2dc-bc2d-9ad6-b1150a54bb7b@tuebingen.mpg.de> The Natural Intelligence Lab, headed by Zhaoping Li at the University of T?bingen and Max Planck Institute for Biological Cybernetics, has positions available for highly motivated PhD students and postdocs interested in visual psychophysics and fMRI. The lab is interested in all areas of vision science,?with a particular focus on exploring a new framework for the visual system, whereby (1) V1 is responsible for the initial saliency computations to select a part of the visual input for further processing,?(2) V1 relays that saliency information directly to motor structures for generating short-latency orienting movements to place the selected visual object in the central visual field, and (3) stimuli in central and peripheral visual fields undergo differential processing by V1 and higher visual areas. We use a variety of experimental and theoretical techniques including human psychophysics and eye tracking,?fMRI, TMS, ERP, and computational modeling. Current and planned projects involve visual search, gaze behavior, object recognition and visual illusions, among others. See _https://www.kyb.tuebingen.mpg.de/sensory-and-sensorimotor-systems_for more information. Applicants should be skilled with visual psychophysics, fMRI and/or computational modeling. It is not necessary to have skills in both experiments and modeling although having both is a plus. Please send your CV and statement of research, or informal enquiries,to _jobs.li at tuebingen.mpg.de ._ -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Thu Feb 6 11:03:56 2020 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Thu, 6 Feb 2020 17:03:56 +0100 Subject: Connectionists: CfP 2nd International Workshop on Key Enabling Technologies for Digital Factories at CAiSE 2020 Message-ID: <78e22469-8eda-c8ea-244c-efe31a188f17@unimore.it> [ apologies for potential cross-postings ] ============================================= ???????? Call For Papers ?? 2nd International Workshop on ?Key Enabling Technologies for Digital Factories ???? in conjunction with CAiSE 2020 ????? ??? Grenoble, France https://sites.google.com/view/ket4df2020/ ============================================= Paper submission deadline March 1st, 2020, 11:59pm Hawaii Time Scope --------------------- The manufacturing industry is entering a new digital era in which ICT technologies and collaboration applications will be integrated with traditional manufacturing practices and processes to increase flexibility and sustainability in manufacturing, mass customization, increase automation, better quality and improve productivity. This workshop seeks at providing the opportunity for inspiration and cross-fertilization for the research groups working on technological solutions for digital factories and smart manufacturing. We welcome innovative papers from academic and industrial researchers covering a wide range of topics of interests in the computer science and computer engineering fields. The first KET4DF workshop at CAISE 19 was a success with over 20 submitted papers, 10 presentations and many participating international experts from industry and academia. We hope you will be interested in contributing to the continued relevance of the KET4DF series of workshops at this year's conference. Topics of interest --------------------- The topics include but are not limited to: * Digital Platform Interoperability for Digital Factories * Internet-of-things for Smart Manufacturing * Digital Factories and End-to-end supply chains * Model-based development in Digital Factories * M2M interaction * Information Systems for Sustainable Value Networks * Information Systems Engineering for Additive Manufacturing * Manufacturing Enterprise Architecture Engineering * Big Data Technologies and Analytics for Smart Manufacturing * Cloud, Fog, Edge Computing and other programming techniques in Manufacturing Systems * Data Mining, Machine Learning and AI in Smart Manufacturing * Data-driven decision making in Industry 4.0 * Real-time Computing in Smart Manufacturing Environments * Proactive and Autonomous Computing in Digital Factories * Intelligent Cyber-Physical Systems and Digital Twins * Context-aware and Adaptive Systems in Smart Manufacturing and Digital Factories * Digital Security, Privacy and Liability * Business Process Modelling, Analysis and Engineering * Business Impact of Information Systems for Industry 4.0 * Advanced user interfaces for Industry 4.0 * Virtual and augmented reality for smart manufacturing Important Dates --------------------- Paper submission: March 1st, 2020 Acceptance notification: March 31st, 2019 Workshop: June 9th, 2019 --------------------- Workshop Co-chairs: --------------------- Federica Mandreoli Universit? di Modena e Reggio Emilia, Italy Giacomo Cabri Universit? di Modena e Reggio Emilia, Italy Gregoris Mentzas National Technical University of Athens, Greece Karl Hribernik Bremer Institut f?r Produktion und Logistik GmbH (BIBA), Germany --------------------- Workshop web site: https://sites.google.com/view/ket4df2020 --------------------- --------------------- -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From helena at incf.org Thu Feb 6 07:14:29 2020 From: helena at incf.org (Helena Ledmyr) Date: Thu, 6 Feb 2020 13:14:29 +0100 Subject: Connectionists: Call for Investigator Presentations for Neuroinformatics 2020 Message-ID: Dear all, (apologies for cross-posting) The Program Committee for the INCF Congress on Neuroinformatics 2020 (Seattle, USA, 20 - 21 August 2020) is soliciting proposals for investigator presentations to complement keynote presentations from leaders in the field. We would be grateful if you could share this information with your local networks! Investigator presentations should explore the latest developments, challenges/opportunities, and the role of standards and best practices in advancing: - Brain modeling to capture mechanisms underlying modern neuroscience datasets across spatial and temporal scales - Brain-inspired AI and neuroscience insights from AI - Modern ways of doing and sharing science - Machine learning for data/image processing - Extracting scientific information from large-scale data through neuroinformatics - Translation to disorders and behavior Requirements - We recommend your title is clear and reflective of your presentation's content - 3 keywords are required to define your presentation. These should not include broad terms like ?neuroinformatics? but be unique to your submission - Your abstract should include why people should attend the talk and what they might get out of it - All presenters will be expected to register as delegates and are eligible for the discounted/early bird rate Important Dates - Deadline for online submission: 10 February 2020 - Acceptance notification: 28 February 2020 - Presentation dates: 20 - 21 August 2020 *Submit your investigator presentation abstract here latest February 10, 2020!* https://www.incf.org/blog/call-investigator-presentations-neuroinformatics-2020 Abstract submission for demos and posters will open in March 2020. All the best Helena ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr at incf.org Phone: +46 8 524 870 35 incf.org nprc.incf.org neuroinformatics2020.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Thu Feb 6 18:58:37 2020 From: nemanja at temple.edu (Nemanja Djuric) Date: Thu, 6 Feb 2020 18:58:37 -0500 Subject: Connectionists: 2nd CfP: CVPR 2020 - The 2nd Workshop on "Precognition: Seeing through the Future" Message-ID: Call for Workshop Papers The 2nd Workshop on "Precognition: Seeing through the Future" in conjunction with The 33rd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) Seattle, WA, USA, June 14th-19th, 2020 https://sites.google.com/view/ieeecvf-cvpr2020-precognition ================= Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems. Through the organization of this workshop we aim to facilitate further discussion and interest within the research community regarding this nascent topic. The workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos, but also precognition in multiple other visual applications, such as: medical imaging, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications. This is the second Precognition workshop organized at CVPR. It follows a very successful workshop organized in 2019, which featured talks from researchers across a number of industries, insightful presentations, and large attendance. For full programs, slides, posters, and other resources, please visit the website of Precognition 2019 at https://sites.google.com/view/ieeecvf-cvpr2019-precognition. ================= Topics: The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to: - Early event prediction - Activity forecasting - Multi-agent forecasting - Human behavior prediction - Human face aging prediction - Anticipation of trajectories - Short- and long-term prediction and diagnoses in medical imaging - Predicting frames and features in videos and other sensors in autonomous driving - New theories and applications in visual forecasting models - Databases, evaluation, and benchmarking in precognition ================= Submission Instructions: All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. There are two ways to contribute submissions to the workshop: - Extended abstracts submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages. Accepted abstracts will be presented at the poster session, and will not be included in the printed proceedings of the workshop. - Full paper submissions are double-blind peer-reviewed. The submissions are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed (additional information about formatting and style files is available at the website). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings. Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2020 ================= Important Deadlines: Submission : March 22nd, 2020 Decisions : April 14th, 2020 Camera-ready : April 19th, 2020 Workshop : June 14th, 2020 ================= Program Committee Chairs: - Dr. Khoa Luu (University of Arkansas) - Dr. Kris Kitani (Carnegie Mellon University) - Dr. Minh Hoai Nguyen (Stony Brook University) - Dr. Hien Van Nguyen (University of Houston) - Dr. Nemanja Djuric (Uber ATG) - Dr. Utsav Prabhu (Google) For further questions please contact a member of the organizing committee at precognition.organizers at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.Qiu-1 at tudelft.nl Fri Feb 7 03:34:28 2020 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Fri, 7 Feb 2020 08:34:28 +0000 Subject: Connectionists: ACM HT 2020: Call for Contributions Message-ID: <4B5927D1-4213-45B5-A753-84BC2DF1D943@tudelft.nl> * We apologize for cross-posting * ACM HYPERTEXT 2020 ? HT2020 FOR SOCIAL GOOD 31st ACM Conference on Hypertext and Social Media (HT?20) July 13-15 2020 | Orlando, Florida, USA ############# CALL FOR PAPERS ############# Twitter: @ACMHT ? https://twitter.com/ACMHT Conference Site: http://ht.acm.org/ht2020 Hashtag: #ACMHT2020 Submit Online via EasyChair: https://easychair.org/conferences/?conf=ht2020 ----------------------- CONFERENCE SCOPE ----------------------- The ACM Hypertext conference is a premium venue for high quality peer-reviewed research on hypertext theory, systems and applications. It is concerned with all aspects of modern hypertext research including social media, semantic web, dynamic and computed hypertext and hypermedia as well as narrative systems and applications. The theme of Hypertext 2020 is ?HYPERTEXT for Social Good?. This motto of the 31st ACM Hypertext conference goes hand in hand with the growing importance of ensuring technological inventions and innovations have a positive impact on the users, as well as the society at large. We are particularly interested in work that is timely, activist, or community-centered. Hypertext 2019 turned some important stones to reunify different hypertext research directions and communities. Hypertext 2020 will proudly carry forward this aim. Hypertext 2020 will therefore consist of 4 different tracks that broadly appeal to interdisciplinary challenges. In addition to this, HT2020 will also host a Doctoral Consortium, and a Blue Sky Ideas track to facilitate the presentation and discussion of grand visions for the future of Hypertext systems. This is a perfect time to join in, reflect our common roots, and discuss how we can jointly address our current and future challenges. Hypertext 2020 is co-locating with the Electronic Literature Conference (ELO?20) organized in Orlando, Florida between July 13-15. The conference will take place at the downtown University of Central Florida campus, with hotel accommodations available next door to the conference venues. ----------------------- ORGANIZATION ----------------------- General Chairs: ? Anastasia Salter, University of Central Florida (@AnaSalter ? https://twitter.com/AnaSalter) ? John Barber, Washington State University Program Chair: ? Ujwal Gadiraju, Leibniz University of Hannover, DE (@UjLaw ? https://twitter.com/ujlaw) Local Arrangements Chair: ? Mel Stanfill, University of Central Florida (@melstanfill ? https://twitter.com/melstanfill) Publicity Co-Chairs: ? Bonnie Cross, University of Central Florida, USA (@bonniercross ? https://twitter.com/bonniercross) ? Sihang Qiu, Delft University of Technology, NL (@qiusihang ? https://twitter.com/qiusihang) Web Chair: ? Mike Shier, University of Central Florida, USA Proceedings Chair: ? John Murray, University of Central Florida (@lucidbard https://twitter.com/lucidbard) ---------------------------------------------- SUBMISSION CATEGORIES AND DEADLINES ---------------------------------------------- Papers must report new results substantiated by experimentation, simulation, analysis, or application. Authors are invited to submit papers presenting original, not previously published works. Art and creative work is also welcome as part of the exhibition/creative track. Submission categories include: SUBMISSION DEADLINE ?REGULAR?: 13 March 2020 ? Regular research papers (max 10 pages) discussing mature work. ? Short papers (max 5 pages) describing preliminary results of on-going work or novel thought-provoking ideas ? Doctoral consortium submissions (max 4 pages + CV) describing the work of the graduate student and a CV in order to provide some background information about the graduate student SUBMISSION DEADLINE ?LATE BREAKING/DEMOS/EXHIBITION?: 13 April 2019 ? Late breaking (max 2 pages, presented as poster) presenting innovative research ideas, or preliminary results. ? Demos (max 2 pages) presenting system prototypes or industry showcases. ? Exhibition or creative track submissions (max 2 pages) describing the proposed exhibition or creative work. Creative work is particularly encouraged to be web-based and engage with the theme of ?Changing Climates,? a call to engage the impact of hypertext and the responsibility of web creators and researchers in a time of climate change. Participants are welcome to submit creative work in absentia if coming from a country that currently makes travel unfeasible, in consultation with the chairs. Accepted submissions will appear in the Hypertext 2020 Conference Proceedings that will be published by ACM via the ACM Digital Library. Submissions should follow the ACM SIGCONF version of the master template and be anonymized for peer review. ---------------------------------------------- CONFERENCE MAIN TRACKS ---------------------------------------------- ### Hypertext Infrastructures and User Interfaces ### * Hypertext structure domains (e.g., node-link structures, spatial hypertext, taxonomic hypertext, argumentation structures) * Interaction devices used in combination with hypertext systems (e.g., VR glasses, smart whiteboards, mobile devices) * Interacting with hypertext * Visual analytics and hypertext * Data visualization and navigation * Conversational User Interfaces * Social Media Systems and Tools ### Hypertext Literature, Games, and Digital Humanities ### * Hyperfiction and storytelling * Gaming and gamification * Automated analysis of narratives * Automated story or (semantic) link generation * Hypertext and digital humanities * Digital journalism and citizen/collaborative news * Electronic literature * Hypermedia authoring * Interactive fiction and storytelling * Intelligent narratives * Theory of hypertext narratives * Hypertext and communication theory ### Web and Society ### * Fairness, Accountability, Transparency, Ethics in Web Search * Security, Privacy, & Trust * Bias in Web Search * Search as Learning * Computational Social Science * Human Computation & Crowdsourcing * Urban Data Science * Smart Cities * Health and Well-being Online * Affective Computing & Personal Health * Humanities, Arts, & Culture on the Web * Behavioral Monitoring & Change * Web Mining & Content Analysis ### Social Media Analysis & Recommender Systems ### * User Modeling & Personalization * Social Network Analysis * Credibility of Social Media Content * Opinion Mining * Bias, Filter Bubbles and Ethics of Personalized Services * Personalization and Recommendation for Social Good * Explainable Methods for Recommender Systems * Explainable Methods for Personalization * User Experience & Engagement * Preference Elicitation * Algorithmic Scalability & Performance * Conversational Recommender Systems ----------------------- BLUE SKY IDEAS TRACK ----------------------- The emphasis of this track is on visionary ideas, long-term challenges, and new research opportunities. This track is designed to overcome the constraints of the traditional review process, and will serve as an incubator for innovative approaches, risky and provocative ideas, and to propose challenges and opportunities in the near future. Submissions to this track are limited to a maximum of 4 pages. ----------------------- DOCTORAL CONSORTIUM ----------------------- PhD students (or in specific cases Master students) are encouraged to submit their ongoing research related to the broad scope of HT 2020. The goal of the Doctoral Consortium is to provide PhD students at different stages of their candidature, with an adequate platform to showcase their research, goals and receive feedback on their ongoing research. Students can use this opportunity within a dedicated session at the HT 2020 conference, to receive guidance on various aspects of their research from established researchers and other PhD students working in research areas related to the broad scope of HT 2020. From Sofia.Delafuente at ed.ac.uk Fri Feb 7 04:13:49 2020 From: Sofia.Delafuente at ed.ac.uk (DE LA FUENTE GARCIA Sofia) Date: Fri, 7 Feb 2020 09:13:49 +0000 Subject: Connectionists: ADDReS Challenge 2020 (INTERSPEECH) Message-ID: ADDReS 2020: Alzheimer's Dementia Recognition through Spontaneous Speech. Call for Participation: ----------------------- Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge at INTERSPEECH 2020 (Sep 15-18, Shanghai, China) Dementia is a category of neurodegenerative diseases that entails a long-term and usually gradual decrease of cognitive functioning. While a number of studies have investigated speech and language features for the detection of Alzheimer's Disease and mild cognitive impairment, and proposed various signal processing and machine learning methods for this prediction task, the field still lacks balanced and standardised data sets on which these different approaches can be systematically compared. The ADReSS Challenge has made available a benchmark dataset of spontaneous speech, which is acoustically pre-processed and balanced in terms of age and gender, defining a shared task through which different approaches to AD recognition in spontaneous speech can be compared. We invite researchers working on speech and language analysis methods for detection of AD and/or assessment of cognitive status to develop or test their approaches to these tasks on the ADReSS Challenge dataset, and to submit a paper for presentation at INTERSPEECH'2020, in the Challenge's special session. The relevant dates are: * January 24, 2020: ADReSS training data available * March 15, 2020: ADReSS test data made available * March 17, 2020: Period for submission of results opens * March 30, 2020: INTERSPEECH'2020 paper submission deadline * June 19, 2020: Paper acceptance/rejection notification * September 15-18, 2020: INTERSPEECH'2020, in Shanghai, China. For further details please see https://edin.ac/375QRNI Get Outlook for Android The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From amura at ibecbarcelona.eu Fri Feb 7 08:29:10 2020 From: amura at ibecbarcelona.eu (Anna Mura) Date: Fri, 7 Feb 2020 13:29:10 +0000 Subject: Connectionists: [Jobs] PhD position in the European School of Network Neuroscience (EuSNN) in Barcelona! Message-ID: A PhD position is available in the European School of Network Neuroscience (EuSNN) within the Marie Sklodowska-Curie ITN - Early Stage Researcher (PhD) program. EuSNN will integrate leading European groups in network neuroscience and deliver training on knowledge and skills that enable students to pursue a successful career in this emerging field. As part of recent international initiatives, neuroscience has embarked on the ambitious challenge of simulating and analysing large-scale brain dynamics at various levels of biological complexity. This project seeks to address the above challenge by modelling and analyzing whole-brain activity derived from the human connectome at the macro and mesoscopic level, using mean-field population dynamics as well as synaptic dynamics together with detailed circuit models. What we offer: * Obtain a PhD from the Universitat Pompeu Fabra in Barcelona (UPF https://www.upf.edu/web/doctorats) while working in an ICT-startup! * Work in close collaboration with the interdisciplinary SPECS-lab https://specs-lab.com/ of Prof. Dr. Paul Verschure at the Institute of Bioengineering of Catalonia https://www.ibecbarcelona.eu/ * 3-year contract (full time) paid in accordance with the euSNN rules. * The contract will be within the framework of Marie Sk?odowska-Curie Actions European Training Network ETN (euSNN Project) (Innovation Training Networks) * The project will start in September 2020 As a startup member of euSNN, Eodyne (eodyne.com) in collaboration with the SPECS-lab https://specs-lab.com/ of Prof. Dr. Paul Verschure, will host the PhD project on the development of ?Analysis of large-scale networks of the human brain in health and disease?. Using the integrated brain data modelling and visualization technologies of Eodyne in the virtual reality environment XIM (eXperience Induction Machine) and the neuroinformatics software Brainx3 1 (in collaboration with Prof. Paul Verschure and the SPECS-lab at the Institute of Bioengineering of Catalonia, Barcelona, Spain), this PhD project propose to build a unified simulation platform for the reconstruction and analysis of brain dynamics and connectivity at multiple scales describing the human brain in health and disease. We will in particular address the question of how discrete lesions due to stroke affect the global (re)organization of the neocortex and the thalamo-cortical system. Overall, the project will advance the modelling of the dynamics of (sub-)cortical structures through their embedding in more realistic empirically grounded large-scale cortical networks and improve clinical diagnostics and intervention planning. Main tasks and responsibilities: * Building and testing models of cortical plasticity in healthy brains and those with stroke within the context of broader brain systems; * Mapping and graph-theoretically quantifying patterns of connectivity related to the core networks of the brain and their relation to perceptual and cognitive functions; * Investigating how these circuits are disrupted in disorders such as stroke, Traumatic Brain Injury (TBI), and coma; * Identify mappings between structural network properties and functional dynamics. * At the end of the PhD project, it is expected to have a multi-scale integrated brain model for the human brain, serving research, clinical applications and education within and beyond the PhD. Skills and qualifications: * Bachelor (BSc) and Master (MSc) in Physics/ Mathematics/ Biology/ Biomedical * Engineer/Neuroscience/Computer Science or related field * Programming skills: MATLAB/ Python/ C++ / C#. * Knowledge of VTK library (Visualization Toolkit) * Self-critical, capacity to learn and bring knowledge * High level of English proficiency * Knowledge in Unity 3D game engine is a plus - Bonus points. Interest to work in a startup environment in collaboration with a research institute and within international collaborations, including performing secondments at partner sites. - Mobility rule. for researchers in Marie Sklodowska-Curie ITNs: to be eligible candidates must be in the first four years of his/her research career, not have a doctoral degree, and not have resided in the country of the recruiting beneficiary (i.e. Spain) for more than 12 months in the 3 years immediately prior to the recruitment date. How to apply: Interested applicants should send their CV, cover letter and the contact of two referees to: info at eodyne.com before 01/05/2020. also, see check EURAXES Who we are: Eodyne is a spin-off company of the research lab of Prof. Verschure which specializes in the development and commercialization of advanced science-based and real-time interactive technology software for neurorehabilitation, education and cultural heritage. In the area of neurorehabilitation, Eodyne?s flagship product, the Rehabilitation Gaming System, is used internationally in 7 countries with the main commercial activities in Spain and the Netherlands. By now over 1000 stroke patients have been successfully treated and the RGS paradigm is being generalized to other neuropathologies. Eodyne advances a network science-based paradigm for neurorehabilitation by taking a multi-scale network-based perspective from genetics and connectomics to behaviour. For further information about MSCA-ITN under EU H2020, see: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/marie-sklodowska-curie-actions ______________________ Dr. Anna Mura - PhD SPECS (Synthetic, Perceptive, Emotive and Cognitive Systems) http://www.ibecbarcelona.eu/specs @SPECS_lab Institute for Bioengineering of Catalonia (IBEC) Av. Eduard Maristany, 16 08019 Barcelona Campus Diagonal Bes?s, Edifici C, floor 6 Tel +34 934012545 Joins us 9th Living Machines conference in Freiburg, Germany (28-31 July 2020) 13th Barcelona Cognition, Brain, Technology summer school (Sept 2020) Aquest correu electr?nic cont? informaci? confidencial emparada pel secret professional. Qualsevol reproducci?, distribuci? o divulgaci? del seu contingut estan estrictament prohibides. Si vost? no ?s el destinatari, li preguem no faci difusi? ni copi? el seu contingut i ens ho notifiqui el m?s aviat possible a l'adre?a dataprotection at ibecbarcelona.eu Este correo electr?nico contiene informaci?n confidencial amparada por el secreto profesional. Cualquier reproducci?n, distribuci?n o divulgaci?n de su contenido est?n estrictamente prohibidas. Si usted no es el destinatario, le rogamos no difunda ni copie su contenido y nos lo notifique de inmediato a la direcci?n dataprotection at ibecbarcelona.eu This electronic transmission contains confidential information covered by professional secrecy. Any reproduction, distribution or disclosure of its contents is strictly prohibited. If you are not the intended recipient, you are kindly requested not to disseminate nor to copy this transmission and to notify us as soon as possible by email to dataprotection at ibecbarcelona.eu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccc.conference at gmail.com Fri Feb 7 05:47:06 2020 From: iccc.conference at gmail.com (Int. Conference on Computational Creativity) Date: Fri, 7 Feb 2020 10:47:06 +0000 Subject: Connectionists: Call for Tutorials for the 11th International Conference on Computational Creativity (ICCC'20) Message-ID: Dear Colleague, Below you will find the Call for Tutorials for the next International Conference on Computational Creativity (ICCC?20), which will take place in Coimbra, Portugal. Please feel free to distribute it to mailing lists you manage and to everybody who may be interested. Thank you and we hope to see you in Coimbra for ICCC?20! If you wish to receive more information about ICCC?20 subscribe here Follow us at facebook , twitter or instagram ------------------------------------------------ *The 11th International Conference on Computational Creativity (ICCC'20)* June 29 ? July 3 2020, Coimbra, Portugal *Call for Tutorials* Held: during 29th - 30th June at ICCC'20 tutorials-iccc20 at computationalcreativity.net http://computationalcreativity.net/iccc20/tutorials/ Please distribute (Apologies for cross-posting) If you wish to receive more information about ICCC?20 subscribe here: https://mailchi.mp/b026a98cd33d/tutorials ------------------------------------------------ The 11th International Conference on Computational Creativity (ICCC) is looking for tutorial proposals to be held along with the main conference in the historic town of Coimbra, Portugal on June 29th (full day) and 30th (morning) 2020. We welcome proposals covering between one and four 120-minute sessions, and addressing any aspect of computational creativity research. Each proposal will be evaluated by independent reviewers. Tutorials are a great opportunity to benefit the wider community, to raise awareness of a topic, and a chance to drive broader adoption of e.g. your system or method. A tutorial can offer attendees to (i) explore new methods, techniques, and practices, (ii) develop new skills in order to innovate, or (iii) become inspired to pursue new ideas. We welcome any format, but generally encourage opportunities for the audience to interact with the taught subject. We expect tutorials to provide clear practical value to the intended audience and to be accessible given basic knowledge of computational creativity research. A tutorial could: - Introduce the audience to emerging areas, new technologies and methods for computational creativity research; - Provide a substantial overview of state-of-the-art research on a certain topic; - Raise and discuss ethical and societal implications of computational creativity; - Provide meta-skills, such as writing papers and grant proposals, making research videos, giving presentations, etc. You are welcome to contact the tutorial chair to discuss your ideas before submitting a full proposal (email below). The ICCC?20 local team is likely going to offer live streaming technology and support to tutorial organisers, so that all content and discussions can be recorded and shared. We also provide student volunteers where needed, e.g. to support interactive sessions. In an effort to encourage fresh perspectives, we offer a limited amount of conference fee waivers for tutorial (co-)organisers who have not previously presented at ICCC or engaged with the ICCC community. Decisions will be made on a case-by-case basis. **** Important dates **** Tutorial proposal submissions due: March 1st, 2020. Organisers are invited to submit their proposals earlier than the deadline and request an earlier response. Notification of tutorial acceptance: May 1st, 2020, with earlier acceptance possible at the chairs? discretion. **** Submission Instructions **** Please submit a PDF proposal of no more than 3 pages detailing the following: - Title and theme of tutorial; - Organising committee (including affiliations); - Tutorial aim (also covering why the topic covered matters to computational creativity), thematic scope (depth and breadth of coverage), format (interactive vs. non-interactive), and a rough timeline; - Desired duration (number of 120 minute sessions); - Target audience and key takeaways for attendees; - A description of your promotional strategy for attracting attendees (next to advertising it as part of the conference programme); - Any technical or space requirements (e.g., projector, PA, whiteboards); - Whether you require a student volunteer, and for what task(s); - Whether you would like your tutorial to be streamed; - Whether or not you are applying for a conference fee waiver to support a tutorial organiser who has not previously engaged with ICCC and its community. Please email your submission as a single PDF file of no more than 5MB to tutorials-iccc20 at computationalcreativity.net **** Tutorial Chair **** Christian Guckelsberger, Queen Mary University of London, United Kingdom **** More Information **** For more information please contact: tutorials-iccc20 at computationalcreativity.net ------------------------------------------------ *Follow us at:* facebook ? https://www.facebook.com/pg/computationalcreativity/ twitter ? https://twitter.com/iccc_conf instagram ? https://www.instagram.com/iccc_conf/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Fri Feb 7 13:10:49 2020 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Fri, 7 Feb 2020 19:10:49 +0100 Subject: Connectionists: CLEF-2020 CodiEsp: Clinical Case Coding Shared Task (eHealth CLEF 2020) In-Reply-To: References: Message-ID: **** Call for Participation CodiEsp: Clinical Case Coding Task (eHealth CLEF 2020) **** *CodiEsp (eHealth CLEF? Multilingual Information Extraction) Shared Task on automatic assignment of ICD10 codes (procedures, diagnosis) track at CLEF 2020 * http://temu.bsc.es/codiesp Plan TL Award for the CodiEsp Track The CodiEsp sub-tracks: *1.CodiEsp Diagnosis Coding sub-task (CodiEsp-D)*: will require automatic ICD10-CM [CIE10 Diagn?stico] code assignment. *2.CodiEsp Procedure Coding sub-task (CodiEsp-P):* will require automatic ICD10-PCS [CIE10 Procedimiento] code assignment. *3.CodiEsp Explainable AI Subtask (CodiEsp-X).* Systems are required to submit the reference to the predicted codes (both ICD10-CM and ICD10-PCS). *Task description* Clinical coding consists in the transformation (or classification) of medical texts written by clinicians into a structured or coded format using internationally recognized class codes. These codes describe a patient?s diagnosis or treatment. This transformation is critical for standardizing clinical records; enable aetiology studies, monitor health trends, epidemiology studies, clinical research, decision-making or even re-imbursement. Due to the importance of this process, there are now even specialized education programs and professional occupations of persons employed as clinical coders or medical records technicians. As part of the eHealth CLEF (http://clef-ehealth.org) Multilingual Information Extraction Shared Task we organize* CodiEsp: Clinical Case Coding Task (http://temu.bsc.es/codiesp ). *This task will address the automatic extraction of chemical, drug, gene/protein mentions from clinical case studies written in Spanish. Participant systems have to automatically assign ICD10 codes (CIE-10, in Spanish) to clinical case documents, being evaluated against manually generated ICD10 codifications. In addition to the Spanish data we will also include training, development and test set documents automatically translated into English. We foresee that this task will be influential not only in terms of determining the most competitive approaches which might range from sophisticated term look-up to multi-class document classification systems using machine learning approaches. -------------------------------------- *Participation and useful info* -------------------------------------- 1. CodiEsp web, info & detailed description: http://temu.bsc.es/codiesp/ 2. Registration for CodiEsp (Multilingual Information Extraction eHealth track): http://temu.bsc.es/codiesp/index.php/2019/09/19/registration/ 3. Training and development set: https://zenodo.org/record/3633048#.XjRNut-YU5k 4. Additional training resources: https://zenodo.org/record/3606626#.XhyWLN-YU5k ------------------------ *Main CodiEsp Track organizers * ------------------------ ? *Martin Krallinger*, Barcelona Supercomputing Center. ? *Antonio Miranda*, Barcelona Supercomputing Center. ? *Aitor Gonzalez-Agirre*, Barcelona Supercomputing Center. ? *Marta** Villegs*, Barcelona Supercomputing Center. ------------------------ *Important Dates* ------------------------ Jan 13 Train, development and additional training resources set release (Spanish) February 12 Train, development set release (English machine translation) May 3 End of evaluation May 5 Results notified May 24 Paper submission Jun 28 Camera-ready paper submission Sep 22-25 Conference (Thessaloniki, Greece) Best regards, Martin Krallinger ======================================= Martin Krallinger, Dr. -------------------------------------------------------------------- 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 blextar at gmail.com Fri Feb 7 22:08:30 2020 From: blextar at gmail.com (Luca Rossi) Date: Sat, 8 Feb 2020 11:08:30 +0800 Subject: Connectionists: Call for Papers S+SSPR 2020 Message-ID: CALL FOR PAPERS IAPR Joint International Workshops on 13th Statistical Techniques in Pattern Recognition (SPR) 18th Structural and Syntactic Pattern Recognition Workshop (SSPR) Time and place: 8-11 September 2020, Padova, Italy Paper submission deadline: 8 June 2020 S+SSPR 2020 is a joint event organised by Technical Committee 1 (Statistical Pattern Recognition Technique) and Technical Committee 2 (Structural and Syntactical Pattern Recognition) of the International Association of Pattern Recognition (IAPR). Following the trend of previous editions, S+SSPR 2020 will be held in close proximity and shortly before the International Conference on Pattern Recognition (ICPR). Authors are invited to submit papers addressing topics in statistical, structural or syntactic pattern recognition and their applications. Accepted papers will be published in Springer?s Lecture Notes in Computer Science (LNCS) series. For details see: http://www.dais.unive.it/sspr2020/ -- Luca Rossi Lecturer in Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London https://blextar.github.io/luca-rossi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mgalle at gmail.com Sat Feb 8 12:50:39 2020 From: mgalle at gmail.com (=?UTF-8?Q?Matthias_Gall=C3=A9?=) Date: Sat, 8 Feb 2020 18:50:39 +0100 Subject: Connectionists: Call for Participation: Advanced Language Processing School (France) Message-ID: FIRST CALL FOR PARTICIPATION Advanced Language Processing School (ALPS) January, 17-22 2021 Grenoble - France University Grenoble Alpes and Naver Labs Europe are announcing the first Advanced Language Processing School (ALPS) in Grenoble. *Important Dates* Application Deadline - July 15th, 2020 Notification - Sept 15th, 2020 Registration Deadline - Oct 15th, 2020 Winter School - Jan 17-22, 2021 *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 Confirmed speakers: - Isabelle Augenstein (Copenhagen, DEN) - Tim Baldwin (Melbourne, AUS) - Kyunghyun Cho (NYU and FAIR, USA) - Yejin Choi (University of Washington and Allen Institute for AI, USA) - Grzegorz Chrupa?a (Tilburg University, NED) - Claire Gardent (LORIA, FR) - Sanjeev Khudanpur (JHU, USA) 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. Website: http://alps.imag.fr/ Contact: alps2021 at univ-grenoble-alpes.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Sun Feb 9 02:52:14 2020 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Sun, 9 Feb 2020 08:52:14 +0100 Subject: Connectionists: Two postdoctoral positions at the University of Venice, Italy Message-ID: Two postdoctoral positions are available in the Artificial Intelligence Unit of the European Centre for Living Technology @ Ca? Foscari University of Venice , Italy. *1. Machine learning for digital storytelling**.* The work will be done within the EU-funded project MEMEX: MEMories and EXperiences for inclusive digital storytelling. *Link:* https://apps.unive.it/common2/file/download/assegni_ricerca/5e3bf7dc84fdb *Deadline: *February 21, 2020 *2. Countering evasion attacks in adversarial machine learning.* The work will be done within the MIUR-funded project REXlearn: Reliable and Explainable Adversarial Machine Learning. *Link:* https://apps.unive.it/common2/file/download/assegni_ricerca/5e3bfc77a4476 *Deadline: *February 21, 2020 The initial appointments will be for one year, renewable on a yearly basis. The projects offer competitive salaries and the opportunity to work closely with high-profile members of the project consortia across Europe, in the heart of one of the world's most fascinating cities. Candidates should possess a Ph.D. degree in Computer Science or related disciplines. In addition, they should have a good background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team. For more information about these positions, please contact: pelillo at unive.it -- Marcello Pelillo, *FIEEE, FIAPR* Professor of Computer Science Ca' Foscari University of Venice, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From pblouw at uwaterloo.ca Sun Feb 9 15:29:21 2020 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Sun, 9 Feb 2020 15:29:21 -0500 Subject: Connectionists: Feb 15 Application Deadline - 2020 Nengo Summer School Message-ID: [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 7th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to Loihi, Intel?s neuromorphic research chip [1], and will learn to run high-level applications on Loihi using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [2], which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at last year's summer school, check out this short video: https://www.youtube.com/watch?v=5w0BzvNOypc We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. [1] Davies, et al. (2018). Loihi: A neuromorphic manycore processor with on-chip learning. IEEE Micro. Vol. 38 no. 1 pp. 82-99. [ https://ieeexplore.ieee.org/document/8259423] [2] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] ***Application Deadline: February 15, 2020*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on building neuromorphic applications, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi, SpiNNaker, BrainDrop) - interface Nengo with (spiking and normal) cameras and robotic systems - integrate machine learning methods into biologically oriented models - implement modern nonlinear control methods in neural models - build perceptual, motor, and sophisticated cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - and much more? Date and Location: June 7th to June 19th, 2020 at the University of Waterloo, Ontario, Canada. Applications: Please visit https://www.nengo.ai/summer-school/, where you can find more information regarding costs, travel, lodging, along with an application form. We ask that you provide a short description of a possible project, and to briefly indicate how this project might make use of the tools and methods that the summer school will be covering, as listed above. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw at appliedbrainresearch.com). The school is partially supported by Applied Brain Research, Inc. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From uwe.aickelin at unimelb.edu.au Sun Feb 9 22:49:45 2020 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Mon, 10 Feb 2020 03:49:45 +0000 Subject: Connectionists: Research Fellow In Approximate Data Structures Message-ID: Hi, It?s a great time to join one of the world?s leading Schools of Computing and Information Systems: We are looking for a Research Fellow In Approximate Data Structures to work with two of our top Professors: http://jobs.unimelb.edu.au/caw/en/job/899981/research-fellow-in-approximate-data-structures Thanks, Uwe Aickelin Professor Uwe Aickelin | Head of School of Computing and Information Systems Melbourne School of Engineering Level 8, Doug McDonell Building, 168 Grattan Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin at unimelb.edu.au http://aickelin.com/ | http://linkedin.com/in/aickelin I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. CRICOS: 00116K This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. [signature_1111626909] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 143405 bytes Desc: image001.png URL: From asaffio at aass.oru.se Sun Feb 9 18:52:34 2020 From: asaffio at aass.oru.se (Alessandro Saffiotti) Date: Mon, 10 Feb 2020 00:52:34 +0100 Subject: Connectionists: [2nd CFP] New Foundations for Human-Centered AI (an ECAI workshop) In-Reply-To: <115f65e4-ddaa-bc4c-577e-baeaff34bed9@aass.oru.se> References: <115f65e4-ddaa-bc4c-577e-baeaff34bed9@aass.oru.se> Message-ID: <52707_1581292365_019NqgpI056348_af2dff68-5bc1-275e-4475-ca6dcc330cda@aass.oru.se> ====================================================================== = NeHuAI-2020 = 1st International Workshop on New Foundations for Human-Centered AI = June 9, Santiago de Compostela, Spain (Part of ECAI-2020) = http://nehuai2020.aass.oru.se/ ====================================================================== SYNOPSIS -------- In June 2018, the European Commission has appointed a "AI High Level Expert Group" (AI-HLEG) to support the implementation of the European Strategy on Artificial Intelligence. One of the first results of the AI-HLEG has been to deliver ethics guidelines on Artificial Intelligence (https://ec.europa.eu/futurium/en/ai-alliance-consultation/guidelines). These guidelines put forward a human-centered approach to AI, and list seven key requirements that human-centered, trustworthy AI systems should meet, summarized by the following headers: 1. Human agency and oversight 2. Technical robustness and safety 3. Privacy and data governance 4. Transparency 5. Diversity, non-discrimination and fairness 6. Societal and environmental wellbeing 7. Accountability Many of today's most popular AI methods, however, fail to meet these guidelines: making them compliant is a scientific endeavor that is as crucial as it is challenging and stimulating. Systems based on deep learning are a case in point: while these systems often provide impressive results, their ability to _explain_ these results to the user is very limited, challenging requirements 4 and 7; in most cases we lack ways to formally _verify_ their correctness and assess their boundary conditions, challenging requirement 2; and we don't yet have methods to allow humans to _collaboratively_ influence or question their decisions, challenging requirement 1. Similar criticalities are present in many other popular AI methods. This full day workshop will collectively address the fundamental questions of what are the scientific and technological gaps that we have to fill in order to make AI systems _human-centered_ in terms of the above guidelines. PAPER SUBMISSION ---------------- Contributions are seeked on new foundations for building Human-Centered AI systems, able to comply with AI-HLEG recommendations. Contributions are seeked in the form of full papers (max 7 pages plus references) presenting mature results, or position papers and reports of relevant ongoing work (max 4 pages including references). More specific topics include, but are not limited to: - Explainable AI - Verifiable AI - Technical robustness and safety of AI systems - Collaboration between humans and AI systems - Integrating model-based and data-driven AI - Integrating symbolic- and sub-symbolic AI - Mixed initiative AI-Human systems - Proactive AI systems in human environments - Understanding and naturally interacting with humans - Understanding and interaction in complex social settings - Reflexivity and expectation managament - Integrating Learning, Reasoning and Acting in AI systems - Integrating human and robot cognition Papers should be formatted according to the ECAI2020 formatting style, available at the ECAI2020 website (ecai2020.eu). Submissions are not anonymous. Submit your paper by February 25 via Easychair here: https://easychair.org/conferences/?conf=nehuai2020 ORGANIZERS ---------- - Alessandro Saffiotti (Orebro University, Sweden) - Luciano Serafini (Fondazione Bruno Kessler, Trento, Italy) - Paul Lukowicz (DFKI, Kaiserslautern, Germany) This worskhop is jointly organized by AI4EU (ai4eu.eu), the EU landmark project to develop a European AI on-demand platform and ecosystem; and by Humane-AI (humane-ai.eu), the EU FET preparatory action devoted to designing a European research agenda for Human Centered AI. MORE INFORMATION ---------------- http://nehuai2020.aass.oru.se/ ====================================================================== From aurel at ee.columbia.edu Sun Feb 9 17:33:29 2020 From: aurel at ee.columbia.edu (Aurel A. Lazar) Date: Sun, 9 Feb 2020 17:33:29 -0500 Subject: Connectionists: Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation, March 16-17, 2020 Message-ID: Columbia Workshop on Brain Circuits, Memory and Computation 2020 BCMC 2020 March 16-17, 2020 Davis Auditorium, CEPSR Columbia University, New York, NY, USA Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. A Fruit Fly Brain Hackathon is being conducted in conjunction with the workshop. Workshop participants are welcome to attend the hackathon. Organizer and Program Chair Aurel A. Lazar , Columbia University Registration Registration is free but all participants have to register . Thank you! Lodging and Directions to Venue Please follow this link for lodging details and directions to the hotel and venue. Sponsorship The 2020 Columbia Workshop on Brain Circuits, Memory and Computation is supported by the Department of Electrical Engineering , Columbia University Center for Computing Systems for Data-Driven Science , Data Science Institute, Columbia University School of Engineering and Applied Science , Columbia University http://fruitflybrain.org/workshops.html Aurel http://www.bionet.ee.columbia.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From bertrand.le_saux at onera.fr Mon Feb 10 01:54:27 2020 From: bertrand.le_saux at onera.fr (Bertrand Le Saux) Date: Mon, 10 Feb 2020 07:54:27 +0100 Subject: Connectionists: CfP CVPRW/ EarthVision 2020 - Large Scale Computer Vision for Remote Sensing Imagery Workshop, 14th June 2020, Seattle, USA. Message-ID: Dear Connectionists, CALL FOR PARTICIPANTS & PAPERS EarthVision 2020 - Large Scale Computer Vision for Remote Sensing Imagery Workshop in conjunction with CVPR 2020, 14th June 2020, Seattle, USA. Website: https://www.grss-ieee.org/earthvision2020/ Earth Observation (EO) and remote sensing are fastly-growing fields of research where computer vision, machine learning, and signal/image processing meet. This workshop, held for its fourth edition at the CVPR 2020, aims at fostering collaboration between the computer vision as well as machine learning disciplines and the remote sensing community to boost automated interpretation of EO data. We invite contributions in the fields of (not exhaustive list): - Super-resolution in the spectral and spatial domain - Hyperspectral and multispectral image processing - 3D reconstruction from aerial images - Feature extraction and learning - Semantic classification of UAV / aerial and satellite images and videos - Deep learning tailored for Earth observation - Domain adaptation and concept drift - Human-in-the-loop - Multi-resolution, multi-temporal, multi-sensor, multi-modal processing - Public benchmark data sets: Training data standards, testing & evaluation metrics, as well as open source research and development. CHALLENGE Spanning three years while featuring five unique datasets and challenges, SpaceNet (https://spacenet.ai/) has continued to focus on different aspects of applying machine learning to solve difficult foundational mapping problems. Looking ahead to the EarthVision 2020 challenge, SpaceNet 6 will take us to a new frontier of data modality: Synthetic Aperture Radar (SAR). For the SpaceNet 6 challenge, participants will be asked to automatically extract building footprints with computer vision and artificial intelligence algorithms using SAR data. IMPORTANT DATES Full paper submission: March 7, 2020 Notification of acceptance: March 28, 2020 Camera-ready paper: April 10, 2020 Workshop (full day): June 14, 2020 WORKSHOP ORGANIZERS - Devis Tuia, Wageningen University, the Netherlands - Jan Dirk Wegner, ETH Zurich, Switzerland - Ronny H?nsch, German Aerospace Center, Germany - Bertrand Le Saux, ONERA, France - Naoto Yokoya, RIKEN, Japan - Ilke Demir, DeepScale - Nathan Jacobs, Uni. of Kentucky - Krzysztof Koperski, Maxar - Fabio Pacifici, Maxar - Ramesh Raskar, MIT - Myron Brown, John Hopkins University - Mariko Burgin, NASA JPL See you soon! > From the organizing team, Bertrand Le Saux -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Mon Feb 10 06:45:54 2020 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Mon, 10 Feb 2020 13:45:54 +0200 Subject: Connectionists: 3rd CfP First workshop on Resources for African Indigenous Language (RAIL) @ LREC 2020, Marseille, France Message-ID: <5E414272020000AE002A576F@v-pgw-nlx2.p.nwu.ac.za> Third (final) call for papers First workshop on Resources for African Indigenous Language (RAIL) @ LREC 2020, Marseille, France http://bit.ly/sadilar_rail2020 The South African Centre for Digital Language Resources (SADiLaR) is organizing a workshop held at the LREC 2020 conference in Marseille, France in the field of African Indigenous Language Resources. This workshop aims to bring together researchers who are interested in showcasing their research and thereby boosting the field of African indigenous languages. This provides an overview of the current state-of-the-art and emphasizes availability of African indigenous language resources, including both data and tools. Additionally, it allows for information sharing among researchers interested in African indigenous languages as well as starting discussions on improving the quality and availability of the resources. Many African indigenous languages currently have no or very limited resources available and, additionally, they are often structurally quite different from more well-resourced languages, requiring the development and use of specialized techniques. By bringing together researchers from different fields (e.g., (computational) linguistics, sociolinguistics, language technology) to discuss the development of language resources for African indigenous languages, we hope to boost research in this field. The Resources for African Indigenous Languages (RAIL) workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. It aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as tools, specifically designed for or applied to indigenous languages found in Africa. With the UNESCO-supported International Year of Indigenous Languages, there is currently much interest in indigenous languages. The Permanent Forum on Indigenous Issues mentioned that "40 percent of the estimated 6,700 languages spoken around the world were in danger of disappearing" and the "languages represent complex systems of knowledge and communication and should be recognized as a strategic national resource for development, peace building and reconciliation." As such, the workshop falls within one of the hot topic areas of this year's conference: "Less Resourced and Endangered Languages". Suggested topics include the following: * Computational linguistics for African indigenous languages * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources Identify, Describe and Share your Language Resources (LRs)! Describing your LRs in the LRE Map is now a normal practice in the submission procedure of LREC (introduced in 2010 and adopted by other conferences). To continue the efforts initiated at LREC 2014 about ?Sharing LRs? (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new ?regular? feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data. As scientific work requires accurate citations of referenced work so as to allow the community to understand the whole context and also replicate the experiments conducted by other researchers, LREC 2020 endorses the need to uniquely Identify LRs through the use of the Internata Persistent Unique Identifier to be assigned to each Language Resource. The assignment of ISLRNs to LRs cited in LREC papers will be offered at submission time. Submission Guidelines RAIL 2020 asks for full papers from 4 pages to 8 pages (plus more pages for references if needed) , which must strictly follow the LREC stylesheet (https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/) which will be available on the conference website. Papers must be submitted through START (https://www.softconf.com/lrec2020/RAIL2020/) and will be peer-reviewed. Important dates Submission deadline: 16 February 2020 Date of notification: 13 March 2020 Camera-ready copy deadline: 2 April 2020 Workshop at conference: Morning session, 16 May 2020 Organizing Committee Rooweither Mabuya Phathutshedzo Ramukhadi Mmasibidi Setaka Valencia Wagner Menno van Zaanen South African centre for Digital Language Resources (SADiLaR), South Africa Programme committee Richard Ajah, University of Uyo, Nigeria Ayodele James Akinola, Chrisland University, Nigeria Felix Ameka, Leiden University, the Netherlands Sonja Bosch, University of South Africa, South Africa Ibrahima Ciss?, University of Humanities, Mali Elias Malete, University of the Free State, South Africa Fekede Menuta, Hawassa University, Ethiopia Innocentia Mhlambi, Wits University, South Africa Emmanuel Ngue Um, University of Yaound? I, Cameroon Guy de Pauw, Antwerp University and Textgain, Belgium Sara Petrollino, Leiden University, the Netherlands Pule Phindane, Central University of Technology, South Africa Danie Prinsloo, University of Pretoria, South Africa Justus Roux, Stellenbosch University, South Africa Msindisi Sam, Rhodes University, South Africa Gilles-Maurice de Schryver, Ghent University, Belgium Elsab? Taljard, University of Pretoria, South Africa Vrywaringsklousule / Disclaimer: http://www.nwu.ac.za/it/gov-man/disclaimer.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From jerchen at bu.edu Mon Feb 10 12:11:40 2020 From: jerchen at bu.edu (Chen, Jerry) Date: Mon, 10 Feb 2020 17:11:40 +0000 Subject: Connectionists: NSF Neuronex Big Brain Imaging Workshop @ Boston University - April 15-16, 2020 Message-ID: We are proud to announce the 2020 Big Brain Imaging Workshop hosted jointly by the NSF NeuroNex Nemonic Hub as well as the Boston University Neurophotonics Center! This two-day workshop will take place on Wednesday, April 15th and continue on Thursday, April 16th, 2020 at the Boston University Photonics Center, 8 Saint Mary's Street, Room 906, Boston, MA 02215. The 2020 Big Brain Imaging Workshop is an opportunity to join in the discussion on optical approaches for cellular resolution imaging of neuronal populations that have been highly instrumental for uncovering the principles of neural circuit function. To date, the microscope technology development for imaging the nervous system has largely been focused on applications on a subset of model species with smaller, optically accessible brains (ex. c. elegans, zebrafish, mice). The ability to translate these technologies to species with brains that are both physically larger and less optically accessible remains a challenge. The topic of the workshop is focused on advancing cellular resolution brain imaging techniques in "larger" brains of mammalian species (ex. rats, cats, ferrets, marmosets, macaques). The goal is to bring neuroscientists and optical engineers together to discuss challenges and come up with potential solutions that will pave the way for the next generation of microscopes that can be applied to a greater number of model organisms. Invited Speakers Daniel Aharoni - University of California, Los Angeles Michele Basso - University of California, Los Angeles Adam Charles - Johns Hopkins University Anna Devor - Boston University David Fitzpatrick - Max Planck Institute Florida Emily Gibson - University of Colorado Anschutz Prakash Kara - University of Minnesota Jerome Mertz - Boston University Kristina Nielsen - Johns Hopkins University Anitha Pasupathy - University of Washington Bijan Perasan - New York University Eyal Seidemann - University of Texas, Austin Lei Tian - Boston University Alipasha Vaziri - Rockefeller University Chris Xu - Cornell University In addition to the invited speakers, spots are available for short talks by visiting the registration page and submitting a brief abstract: For more information and free registration, visit: https://nemonic.ece.ucsb.edu/index.php/Big_Brain Jerry Chen, PhD Assistant Professor Department of Biology Boston University www.chen-lab.org jerry at chen-lab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From jerchen at bu.edu Mon Feb 10 12:11:11 2020 From: jerchen at bu.edu (Chen, Jerry) Date: Mon, 10 Feb 2020 17:11:11 +0000 Subject: Connectionists: Data Scientist Position at Boston University In-Reply-To: References: Message-ID: We are proud to announce the 2020 Big Brain Imaging Workshop hosted jointly by the NSF NeuroNex Nemonic Hub as well as the Boston University Neurophotonics Center! This two-day workshop will take place on Wednesday, April 15th and continue on Thursday, April 16th, 2020 at the Boston University Photonics Center, 8 Saint Mary's Street, Room 906, Boston, MA 02215. The 2020 Big Brain Imaging Workshop is an opportunity to join in the discussion on optical approaches for cellular resolution imaging of neuronal populations that have been highly instrumental for uncovering the principles of neural circuit function. To date, the microscope technology development for imaging the nervous system has largely been focused on applications on a subset of model species with smaller, optically accessible brains (ex. c. elegans, zebrafish, mice). The ability to translate these technologies to species with brains that are both physically larger and less optically accessible remains a challenge. The topic of the workshop is focused on advancing cellular resolution brain imaging techniques in "larger" brains of mammalian species (ex. rats, cats, ferrets, marmosets, macaques). The goal is to bring neuroscientists and optical engineers together to discuss challenges and come up with potential solutions that will pave the way for the next generation of microscopes that can be applied to a greater number of model organisms. Invited Speakers Daniel Aharoni - University of California, Los Angeles Michele Basso - University of California, Los Angeles Adam Charles - Johns Hopkins University Anna Devor - Boston University David Fitzpatrick - Max Planck Institute Florida Emily Gibson - University of Colorado Anschutz Prakash Kara - University of Minnesota Jerome Mertz - Boston University Kristina Nielsen - Johns Hopkins University Anitha Pasupathy - University of Washington Bijan Perasan - New York University Eyal Seidemann - University of Texas, Austin Lei Tian - Boston University Alipasha Vaziri - Rockefeller University Chris Xu - Cornell University In addition to the invited speakers, spots are available for short talks by visiting the registration page and submitting a brief abstract: For more information and free registration, visit: https://nemonic.ece.ucsb.edu/index.php/Big_Brain Jerry Chen, PhD Assistant Professor Department of Biology Boston University www.chen-lab.org jerry at chen-lab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon Feb 10 18:33:59 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Mon, 10 Feb 2020 23:33:59 +0000 Subject: Connectionists: CFP: SBAC - PAD 2020 - IEEE International Symposium on Computer Architecture and High Performance Computing Message-ID: <82f7ae71-6728-7528-cd7d-3f3b93118b9d@isep.ipp.pt> SBAC-PAD 2020 Department of Computer Science, School of Sciences, University of Porto Porto, Portugal https://sbac2020.dcc.fc.up.pt sbac2020 at dcc.fc.up.pt Call for Papers ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ 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. Authors are invited to submit manuscripts on a wide range of high-performance and distributed computing areas. Topics of interest include (but are not limited to): * Application-specific systems * Architecture and programming support for emerging domains (Big Data, Deep Learning, Machine learning, Cognitive Systems) * Benchmarking, performance measurements, and analysis * Cloud, cluster, and edge/fog computing systems * Embedded and pervasive systems * GPUs, FPGAs and 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 Paper Submission 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 accepted papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing. The call will be open and will follow the normal journal submission procedure. Important Dates Abstract deadline: *May 15th, 2020* Paper deadline: *May 22nd, 2020* Reviewing period: *May 24-Jun 21, 2020* Author notification: *June 26th, 2020* Camera-ready submission: *July 3rd, 2020* Organizing Committee General Chairs * In?sDutra.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*/// o *Chair*: Jos? Moreira (IBM Thomas J. Watson Research Center, USA) * *Networking and Distributed Systems* o *Chair*: Jes?s Carretero (University Carlos III of Madrid, Spain) * *Parallel Applications and Algorithms* o *Chair*: Alba Melo (Universidade de Bras?lia, Brazil) * *Performance Evaluation* o *Chair*: Ariel Oleksiak (Pozna? Supercomputing and Networking Cente, Poland) * *System Software* o *Chair*: Jidong Zhai (Tsinghua University, China) Publicity Chairs * Carlos Ferreira, Instituto Superior de Engenharia, Portugal * Miguel Areias, University of Porto, Portugal * Feng Zhang, Renmin University of China Workshop Chairs * Miguel Areias, University of Porto, Portugal * Iv?n Carrera, Escuela Polit?cnica Nacional, Quito, Equador and University of Porto, Portugal Publications Chairs * IEEE - Proceedings o Rui Camacho, University of Porto, Portugal o Iv?n Carrera, Escuela Polit?cnica Nacional, Quito, Equador and University of Porto, Portugal * JPDC - Special Issue o Jorge Barbosa, University of Porto, Portugal 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 mpavone at dmi.unict.it Tue Feb 11 04:36:18 2020 From: mpavone at dmi.unict.it (Mario Pavone) Date: Tue, 11 Feb 2020 10:36:18 +0100 Subject: Connectionists: MESS 2020 ~ Learning & Optimization from Big Data ~ Catania, 27-31 July 2020 Message-ID: <20200211103618.Horde.ciQmDOph4B9eQnWSZb9HhyA@mbox.dmi.unict.it> Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2020 - Metaheuristics Summer School - Learning & Optimization from Big Data - 27-31 July 2020, Catania, Italy https://www.ANTs-lab.it/mess2020/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- *** ONCE MONTH LEFT!!! *** ** APPLICATION DEADLINE: 5th March 2020 ** https://www.ants-lab.it/mess2020/application/ MESS 2020 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of the 2020 edition is ?Learning and Optimization from Big Data?, therefore MESS 2020 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data. All participants will have plenty of opportunities for debate and work with leaders in the field, benefiting from direct interaction and discussions in a stimulating environment. They will also have the possibility to present their recently results and/or their working in progress through oral or poster presentations, and interact with their scientific peers, in a friendly and constructive environment. 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. ** LIST OF LECTURERS + Angelo Cangelosi, University of Manchester & Alan Turing Institute, UK + Swagatam Das, Indian Statistical Institute, Kolkata + Luca Maria Gambardella, IDSIA Istituto Dalle Molle for Artificial Intelligence, Switzerland + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK + Emma Hart, Edinburgh Napier University, UK + Mauricio Resende, AMAZON, USA + Roman Slowinski, Pozna? University of Technology, Poland + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy More Lecturers will be announced soon. ** SCHOOL DIRECTORS + Pascal Bouvry, University of Luxembourg, Luxembourg + Salvatore Greco, University of Catania, Italy + Ender Ozcan, University of Nottingham, UK + Mario Pavone, University of Catania, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION All participants to the school will be involved in the ?Metaheuristics Competition?, where each of them will must develop a metaheuristic solution on the given problem. The top three of the competition ranking will receive the MESS 2020 prize. Students whose algorithm will rank in the first five top of the competition ranking, will be invited to submit a report/manuscript of their work to be published in the special MESS 2020 Volume of the AIRO Springer Series. ** METAHEURISTICS COMPETITION CHAIRS + Raffaele Cerulli, University of Salerno, Italy + Andrea Schaerf, University of Udine, Italy ** SHORT TALK & POSTER PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *March 5, 2020*. ** WORKSHOP CHAIRS + Vincenzo Cutello, University of Catania, Italy + Paola Festa, University of Naples ?Federico II?, Italy + Isaac Triguero, University of Nottingham, UK *See Previous Edition - MESS 2018* https://www.ants-lab.it/mess2018/ ** MORE INFORMATION: https://www.ANTs-lab.it/mess2020/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school From ioannakoroni at csd.auth.gr Tue Feb 11 06:06:11 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Tue, 11 Feb 2020 13:06:11 +0200 Subject: Connectionists: Invitation to join the Workshop 'Deep Learning & Computer Vision for autonomous systems: drones in infrastructure inspection', AUTH, Greece, 21-22 February 2020 References: <001e01d5dc2f$d4c4ab50$7e4e01f0$@csd.auth.gr> Message-ID: <029401d5e0cb$452bd0e0$cf8372a0$@csd.auth.gr> Dear Autonomous Systems engineers, scientists, and enthusiasts, you are welcomed to register to the Workshop ?Deep Learning & Computer Vision for autonomous systems: drones in infrastructure inspection?: http://icarus.csd.auth.gr/activities/dl-and-cv-workshop-on-autonomous-systems/ It will take place on 21-22/02/2020 at the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, in the framework of H2020 R&D project Aerial-Core: https://aerial-core.eu/ For registration and questions, please contact: Ioanna Koroni, koroniioanna at csd.auth.gr It is organized by Prof. I. Pitas, IEEE and EURASIP fellow, 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, Chair of the IEEE SPS Autonomous Systems Initiative. Lectures will be delivered by very competent Postdoc/PhD/MSc researchers, with long experience on drone imaging. Indicative lecture list First day 1. Introduction to drones 2. Introduction to H2020 Aerial Core R&D project 3. Introduction to H2020 Multidrone R&D project 4. Multiple drone system architecture and communications 5. Deep neural networks ? CNNs 6. Object Detection 7. Object Tracking 8. Object Pose estimation Second day 1. Simultaneous Localization and Mapping 2. Imaging for Drone Safety 3. Drone Mission Simulations 4. Privacy protection, Ethics and regulatory issues, De-identification 5. Parallel GPU Programming-Cuda 6. Recurrent Neural Networks. Applications in object tracking 7. Deep Reinforcement Learning 8. Autonomous Car Vision 9. Highway infrastructure inspection Applications: 1) electrical installation inspection 2) highway infrastructure inspection 3) media production. Thessaloniki is a very pleasant city, very close to world-class resorts in Chalkidiki peninsula. Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally: 153/182 internationally in Computer Science/Engineering (USNews 2019). Its campus is at the city center. The workshop coincides with the start of the Greek carnival season, with many events around the city. Relevant links: 1. H2020 R&D project Aerial-Core: https://aerial-core.eu/ 2. H2020 R&D project Multidrone: https://multidrone.eu/ 3. AIIA Lab: http://www.aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas PhD, Director of the Artificial Intelligence and Information Analysis Lab, AUTH, Greece IEEE fellow and Distinguished Lecturer https://scholar.google.gr/citations?user=lWmGADwAAAAJ -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Tue Feb 11 06:47:35 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Tue, 11 Feb 2020 19:47:35 +0800 Subject: Connectionists: CIKM 2020 - 1st Call for Resource Paper Message-ID: * Apologies for cross-posting * ** Call for RESOURCE PAPERS ** In conjunction with CIKM 2020 (Galway, Ireland - October 19th-23rd, 2020) https://cikm2020.org/ More info at https://cikm2020.org/call-for-resource-papers/ CIKM recognises the importance of publicly available scientific resources, such as datasets, evaluation benchmarks, tools or libraries as a necessary and important prerequisite for fostering research in core CIKM areas. The Resources Track seeks submissions from both academia and industry that describe resources available to the community. Resources include, but are not restricted to, information retrieval test collections, labelled datasets for machine learning, and software tools and services. We also seek papers describing original research on building datasets and resources for broad use. An ideal resource track paper will fit into one or more of the following categories: 1. Describing a new and innovative dataset 1. To support research on novel application domains; 2. To support novel evaluation tasks; 3. Created using novel methods and/or algorithms; 4. Labeled using novel and well-described annotation and/or crowdsourcing approaches; 2. Reusable research prototypes and services; 3. Open software frameworks, tools and libraries which support tasks in data science, data engineering or information & knowledge management". Important Dates Paper abstract submission deadline: June 1, 2020 Paper submission deadline: June 8, 2020 Paper acceptance notification: July 24, 2020 Camera-ready submission deadline: August 14, 2020 Check our sponsorship options for an opportunity to reach out to the experts in the domain! -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Tue Feb 11 07:27:51 2020 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Tue, 11 Feb 2020 13:27:51 +0100 Subject: Connectionists: First VoicePrivacy Challenge at Interspeech 2020 Message-ID: [Apologies for cross-posting] Dear colleagues, The registration for the First VoicePrivacy Challenge is open now! The VoicePrivacy 2020 Challenge Evaluation Plan is available on the Challenge website: https://www.voiceprivacychallenge.org/docs/VoicePrivacy_2020_Eval_Plan_v1_1.pdf The VoicePrivacy initiative is spearheading the effort to develop privacy preservation solutions for speech technology. It aims to gather a new community to define the task and metrics and to benchmark initial solutions using common datasets, protocols and metrics. VoicePrivacy takes the form of a competitive challenge. The challenge is to develop anonymization solutions which suppress personally identifiable information contained within speech signals. At the same time, solutions should preserve linguistic content and speech quality/naturalness. The challenge will conclude with a session/event held in conjunction with Interspeech 2020 at which challenge results will be made publicly available. Please find more information about on the challenge website: http://www.voiceprivacychallenge.org Registration: Participants/teams are requested to register for the evaluation. Registration should be performed once only for each participating entity and by sending an email to: organisers at lists.voiceprivacychallenge.org with ?VoicePrivacy 2020 registration? as the subject line. The mail body should include: (i) the name of the team; (ii) the name of the contact person; (iii) their country; (iv) their status (academic/nonacademic). Subscription: Participants are encouraged to subscribe to the VoicePrivacy 2020 mailing list by sending an email to: sympa at lists.voiceprivacychallenge.org with ?subscribe 2020? as the subject line. Successful registrations are confirmed by return email. To post messages to the mailing list itself, emails should be addressed to: 2020 at lists.voiceprivacychallenge.org Best regards, The VoicePrivacy 2020 Challenge Organizers, Jean-Fran?ois Bonastre - University of Avignon - LIA, France Nicholas Evans - EURECOM, France Fuming Fang - NII, Japan Andreas Nautsch - EURECOM, France Paul-Gauthier No? - University of Avignon - LIA, France Jose Patino - EURECOM, France Md Sahidullah - Inria, France Brij Mohan Lal Srivastava - Inria, France Natalia Tomashenko - University of Avignon - LIA, France Massimiliano Todisco - EURECOM, France Emmanuel Vincent - Inria, France Xin Wang - NII, Japan Junichi Yamagishi - NII, Japan and University of Edinburgh, UK -- Md Sahidullah website: *https://sites.google.com/site/iitkgpsahi/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From steve at bu.edu Tue Feb 11 10:16:39 2020 From: steve at bu.edu (Grossberg, Stephen) Date: Tue, 11 Feb 2020 15:16:39 +0000 Subject: Connectionists: A unifying review of cortical maps with multiple psychological functions In-Reply-To: References: Message-ID: Dear Colleagues, The following Open Access article unifies 45 years of neural models about several different kinds of cortical maps and their multiple psychological functions: Grossberg, S. (2020). Developmental designs and adult functions of cortical maps in multiple modalities: Perception, attention, navigation, numbers, streaming, speech, and cognition. Frontiers in Neuroinformatics, February 6, 2020. https://www.frontiersin.org/articles/10.3389/fninf.2020.00004/full Abstract This article unifies neural modeling results that illustrate several basic design principles and mechanisms that are used by advanced brains to develop cortical maps with multiple psychological functions. One principle concerns how brains use a strip map that simultaneously enables one feature to be represented throughout its extent, as well as an ordered array of another feature at different positions of the strip. Strip maps include circuits to represent ocular dominance and orientation columns, place-value numbers, auditory streams, speaker-normalized speech, and cognitive working memories that can code repeated items. A second principle concerns how feature detectors for multiple functions develop in topographic maps, including maps for optic flow navigation, reinforcement learning, motion perception, and category learning at multiple organizational levels. A third principle concerns how brains exploit a spatial gradient of cells that respond at an ordered sequence of different rates. Such a rate gradient is found along the dorsoventral axis of the entorhinal cortex, whose lateral branch controls the development of time cells, and whose medial branch controls the development of grid cells. Populations of time cells can be used to learn how to adaptively time behaviors for which a time interval of hundreds of milliseconds, or several seconds, must be bridged, as occurs during trace conditioning. Populations of grid cells can be used to learn hippocampal place cells that represent the large spaces in which animals navigate. A fourth principle concerns how and why all neocortical circuits are organized into layers, and how functionally distinct columns develop in these circuits to enable map development. A final principle concerns the role of Adaptive Resonance Theory top-down matching and attentional circuits in the dynamic stabilization of early development and adult learning. Cortical maps are modeled in visual, auditory, temporal, parietal, prefrontal, entorhinal, and hippocampal cortices. 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 ludovico.montalcini at gmail.com Tue Feb 11 12:34:29 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 11 Feb 2020 18:34:29 +0100 Subject: Connectionists: Call for Participation, #ACDL2020, 3rd Advanced Course on Data Science & Machine Learning - Early Registration: February 20 Message-ID: ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning An Interdisciplinary 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 https://acdl2020.icas.xyz acdl at icas.xyz 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/ ACDL 2018 & ACDL 2019 Sold-out! Probably also ACDL 2020 ;-) Early registration deadline: February 20, 2020 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: February 20, 2020 Deadlines: Oral/Poster Presentation Submission: February 20, 2020. Notification of Decision for Oral/Poster Presentation: by March 12, 2020. Early Registration: Until February 20, 2020. Late Registration: After February 20, 2020. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Michael Bronstein, Twitter & Imperial College London, UK * Marco Gori, University of Siena, Italy * Victor Lempitsky, Samsung AI Center, Moscow Skolkovo Institute of Science and Technology, Russia * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Panos Pardalos, University of Florida, USA * Daniela Rus, Computer Science and Artificial Intelligence Laboratory, MIT, USA * Mihaela van der Schaar, University of Cambridge, UK More speakers coming soon! 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" More tutorial speakers coming soon! 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/ We remind you that ACDL 2018 and ACDL 2019 sold out a long time before the registration deadline! 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 in Tuscany next July! ACDL 2020 Organizing Committee. acdl at icas.xyz https://acdl2020.icas.xyz https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From mail at mkaiser.de Tue Feb 11 12:51:29 2020 From: mail at mkaiser.de (Marcus Kaiser) Date: Tue, 11 Feb 2020 17:51:29 +0000 Subject: Connectionists: PostDoc position: developing computational models of disease progression in dementia Message-ID: Dear all, a 2-year PostDoc position for developing computational models of disease progression in dementia patients is available within my lab. * About the project* The most ideal time to intervene with disease-modifying treatment is early on before significant neurodegenerative change and neuronal loss has occurred. However, another highly relevant consideration is improvements in subtype diagnosis i.e. determination of the type of neurodegenerative process giving rise to dementia. Differentiation is crucial as there are different management trajectories for each disease; for example, neuroleptic drugs which are given to AD can be fatal in the DLB group. Promising preliminary data, using simulation of disease progression, suggest that we may be able to make an early diagnosis even when subtle changes cannot be detected with the current machine learning approach. Going beyond machine learning subtype classification, our study aims to develop a simulation-based model of disease progression that can facilitate early treatment of the disease leading to improved outcomes for patients and reduced overall healthcare costs. *Available RA position* As part of this project, the lab of Prof. Marcus Kaiser ( http://www.dynamic-connectome.org/ ), with joint supervision from the lab of Prof. John-Paul Taylor (https://www.lewybodylab.org/ ), are seeking a talented and enthusiastic research assistant with a PhD awarded, or a PhD thesis about to be submitted, in computational biology or related subjects; prior experience in the neurosciences is desirable. The aim of this joint project, between Newcastle University and Korea University, is to developing more accurate dementia progression models that can inform diagnosis and treatment of patients using neuroimaging (MRI and PET) data. Objectives of this position are, first, to observe brain network features of dementia patients and how these features are changing with disease progression. Second, to develop computational models of how structural and functional connectivity will change over time in these patients. Third, testing whether the models can reproduce the actual progression and to test different hypotheses about the underlying causes of brain network changes. Good communication skills, very strong dynamics modelling skills, and a track record of previous peer-reviewed journal publications. You will have experience with neuroimaging and/or computer simulations. The position will include visits to our collaborators in South Korea (Profs Cheol Han and Hyun-Ghang Jeong, Korea University). *Research Environment* Neuroinformatics at Newcastle University in the UK covers a range of topics from electrophysiology to neuroimaging. We are among the pioneers in connectome analysis and the establishment computational models to inform interventions in patients, e.g. through the ?10m Wellcome Trust/EPSRC-funded CANDO project. Our strength is a close collaboration between computational, experimental, and clinical researchers. We currently have a team of 13 faculty members in the areas of Neuroinformatics and Neurotechnology: http://neuroinformatics.ncl.ac.uk/ *How to Apply *Apply before 23 January 2020 at https://jobs.ncl.ac.uk/job/Newcastle-Research-Assistant-Associate-in-Computational-Modelling-Dementia-Progression/581938101/ For informal queries, please contact Dr Marcus Kaiser, Marcus.Kaiser at ncl.ac.uk Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics at Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Wed Feb 12 04:00:37 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Wed, 12 Feb 2020 10:00:37 +0100 Subject: Connectionists: SAT2020: DEADLINES EXTENDED Message-ID: <01d57d84-66f2-12c6-dc61-a3aa16a90a10@uniss.it> We would like to inform you that we have decided to extend SAT2020 deadlines for submissions as follows: Abstract submission by February 22, 2020 (was February 15) Paper submission by February 29, 2020 (was February 19) The updated call for paper follows. ******************** Call for Papers ******************** ???????????The 23rd International Conference on ?????Theory and Applications of Satisfiability Testing ???????????????????????(SAT 2020) ?????????????5-9 July 2020, Alghero, Italy http://sat2020.idea-researchlab.org/ ********************************************************* 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. *** Scope *** SAT 2020 welcomes scientific contributions addressing different aspects of the satisfiability problem, interpreted in a broad sense. Topics include, but are not restricted to: * Theoretical advances * Practical search algorithms * Knowledge compilation * Implementation-level details of SAT solving tools * Problem encodings and reformulations * Applications * Case studies based on rigorous experimentation *** Invited Speakers *** * Georg Gottlob, TU Wien, Austria * Aarti Gupta, Princeton University, US *** Out of Scope *** Papers claiming to resolve a major long-standing open theoretical question in Mathematics or Computer Science (such as those for which a Millennium Prize is offered), are outside the scope of the conference because there is insufficient time in the schedule to referee such papers; instead, such papers should be submitted to an appropriate technical journal. *** Paper Categories *** Submissions to SAT 2020 are solicited in three categories, describing original contributions. * Long papers (9 to 15 pages, excluding references) * Short papers (up to 8 pages, excluding references) * Tool papers (up to 6 pages, excluding references) Long and short papers should contain original research, with sufficient detail to assess the merits and relevance of the contribution. For papers reporting experimental results, authors are strongly encouraged to make their data and implementations available with their submission. Submissions on applications and cases studies are especially welcome. Such papers should describe details, weaknesses and strengths of the considered approaches in sufficient depth, but they are not expected to introduce novel solving approaches. Tool papers must obey to specific content criteria. A tool paper should describe the implemented tool and its novel features. Here ?tools? are interpreted in a broad sense, including descriptions of implemented solvers, preprocessors, etc. as well as systems that exploit SAT solvers or their extensions for use in interesting problem domains. A demonstration is expected to accompany a tool presentation. Papers describing tools that have already been presented previously are expected to contain significant and clear enhancements to the tool. Long and short papers will be evaluated with the same quality standards, and are expected to contain a similar contribution per page ratio. *** Submissions *** Submissions should not be under review elsewhere nor be submitted elsewhere while under review for SAT 2020, and should not consist of previously published material. Submissions not consistent with the above guidelines may be returned without review. All papers submissions are done exclusively via EasyChair in Springer?s LaTeX llncs2e style. One author of each accepted paper is expected to present it at the conference. Further details can be found at the website of SAT 2020: http://sat2020..idea-researchlab.org/ *** Proceedings *** The proceedings will be published by Springer in the series Lecture Notes in Computer Science, seewww.springer.com/lncs . *** Important Dates *** Workshops? ? ? ? ? ? ? ? July 5, 2020 Conference ? ? ? ? ? ? ? July 6-9, 2020 Abstract submission? ? ? February 22, 2020 Paper submission ? ? ? ? February 29, 2020 Author response period ? March 29 ? April 2, 2020 Author notification? ? ? April 18, 2020 Camera-ready ? ? ? ? ? ? May 3, 2020 *** 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 Program Committee * Fahiem Bacchus, University of Toronto * Olaf Beyersdorff, Friedrich Schiller University Jena * Armin Biere, Johannes Kepler University Linz * Nikolaj Bjorner, Microsoft * Maria Luisa Bonet, Universitat Polit?cnica de Catalunya * Sam Buss, University of California San Diego * Florent Capelli, Universit? de Lille * Pascal Fontaine, Universit? de Li?ge, Belgium * Marijn Heule, Carnegie Mellon University * Alexey Ignatiev, Universidade de Lisboa * Mikolas Janota, University of Lisbon * Matti J?rvisalo, University of Helsinki * Oliver Kullmann, Swansea University * Jie-Hong Roland Jiang, National Taiwan University * Jan Johannsen, Ludwig Maximilian University of Munich * Benjamin Kiesl, CISPA Helmholtz Center for Information Security * Daniel Le Berre, Universit? d?Artois * Florian Lonsing, Stanford University * Ines Lynce, Universidade de Lisboa * Vasco Manquinho, Universidade de Lisboa, Portugal * Felip Many?, IIIA-CSIC * Joao Marques-Silva, University of Toulouse * Ruben Martins, Carnegie Mellon University * Kuldeep S. Meel, National University of Singapore * Alexander Nadel, Intel * Aina Niemetz, Stanford University * Jakob Nordstrom, University of Copenhagen * Markus N. Rabe, Google * Roberto Sebastiani, University of Trento * Natasha Sharygina, Universit? della Svizzera italiana * Laurent Simon, Bordeaux Institute of Technology * Friedrich Slivovsky, Vienna University of Technology * Stefan Szeider, Vienna University of Technology * Ralf Wimmer, Concept Engineering GmbH & Albert-Ludwigs-Universit?t Freiburg * Christoph M. Wintersteiger, Microsoft *** Contact *** For any questions, please contact sat2020 at easychair.org -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marius.bilasco at univ-lille1.fr Wed Feb 12 07:18:49 2020 From: marius.bilasco at univ-lille1.fr (Ioan Marius BILASCO) Date: Wed, 12 Feb 2020 13:18:49 +0100 Subject: Connectionists: CFP Special Sessions - CBMI 2020 (new deadline) Message-ID: <26976C23-49CF-4F89-9416-2B7FD728D3D4@univ-lille1.fr> CBMI (eighteenth edition) (http:///cbmi2020.univ-lille.fr ) aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. Topics of interest to the CBMI community include, but are not limited to, the following: audio and visual and multimedia indexing, multimodal and cross-modal indexing, deep learning for multimedia indexing, visual content extraction, audio (speech, music, etc.) content extraction, identification and tracking of semantic regions and events, social media analysis, ... The eighteenth edition of CBMI will be organized by the CRIStAL laboratory at University of Lille, Lille, France, following the successful previous editions of Toulouse 1999, Brescia 2001, Rennes 2003, Riga 2005, Bordeaux 2007, London 2008, Chania 2009, Grenoble 2010, Madrid 2011, Annecy 2012, Veszprem 2013, Klagenfurt 2014, Prague 2015, Bucharest 2016, Firenze 2017, La Rochelle 2018, and Dublin 2019. CBMI aims to host two special sessions during the conference. Special sessions are mini-venues, each focusing on topic within the content-based multimedia indexing field which is not directly covered by the list of topics for the conference, but which are beneficial to the community. Special session should include four to five papers, which can be invited, or regular submissions. Special session papers will supplement the regular research papers and be included in the proceedings of CBMI 2020. In order to ensure the high quality of all conference papers, all papers submitted to special sessions at CBMI 2020 will be peer-reviewed through a standard review process, including invited papers. If a special session has many high-quality submissions, some of the submissions may potentially be moved to regular sessions. The organizers of each special session must provide 1-2 reviews per submitted/invited paper, while the regular program committee will provide 1-2 reviews. Final decision on acceptance/rejection will be made in collaboration between the special session chair (Marcel Worring, University of Amsterdam, Netherlands) and CBMI 2020 TPC chairs (Klaus Schoeffman - Klagenfurt University - Austria and Cathal Gurrin - Dublin City - University, Ireland). New Deadline for special session proposals: 24 February 2020 Contacts : cbmi2020-organisation at univ-lille.fr Special session chair : Marcel Worring (University of Amsterdam, Netherlands) -------------- next part -------------- An HTML attachment was scrubbed... URL: From angus.chadwick at ucl.ac.uk Wed Feb 12 09:46:40 2020 From: angus.chadwick at ucl.ac.uk (Chadwick, Angus) Date: Wed, 12 Feb 2020 14:46:40 +0000 Subject: Connectionists: PhD Position in Computational Neuroscience, University of Edinburgh Message-ID: Applications are invited for a fully-funded PhD studentship in Computational Neuroscience with Dr. Angus Chadwick at the Institute for Adaptive and Neural Computation in the School of Informatics, University of Edinburgh, commencing September 2020 or later. Exceptional applicants interested in a September 2021 start may also apply. Students should hold, or be close to completion of, an undergraduate or masters degree in physics, mathematics, computer science, engineering, or similar, and be interested in applying their analytical skills to tackle problems in neuroscience. Highly motivated students with other backgrounds may also be considered. The newly-formed Chadwick group focuses on the dynamics of neural populations underlying visual perception and spatial navigation. We use a combination of approaches, including 1) top-down modelling of neural circuit function guided by machine learning and artificial intelligence solutions 2) bottom-up analysis and simulation of neuronal network dynamics, and 3) statistical modelling of large-scale neural recordings. Our long-term goal is to develop a unified theory of the neural circuit computations supporting visual and spatial processing which spans these levels of analysis. We collaborate closely with a number of experimental neuroscience laboratories both in Edinburgh and further afield. Edinburgh is a vibrant and international city with a large student population, and has been voted as ?best place to live in Britain?. The School of Informatics maintains an internationally-leading research environment in Computational Neuroscience, Machine Learning and Robotics, with close links to the Centre for Discovery Brain Sciences and the School of Philosophy, Psychology and Language Sciences. Applicants should email Dr. Angus Chadwick directly at angus.chadwick at ucl.ac.uk with their CV and a brief statement of interest, or for informal enquiries and discussion. Applications will be considered until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zfalomir at gmail.com Wed Feb 12 15:00:07 2020 From: zfalomir at gmail.com (Zoe Falomir) Date: Wed, 12 Feb 2020 21:00:07 +0100 Subject: Connectionists: QR2020 - CFP Message-ID: ============================================================ QR2020: 33rd International Workshop on Qualitative Reasoning CALL FOR PAPERS (https://easychair.org/cfp/QR2020) ============================================================ Co-located at ECAI-20, Santiago de Compostela, Spain, June 8-12, 2020 =========================================================== Web Page: https://sme.uni-bamberg.de/qr2020 Submission link: https://easychair.org/conferences/?conf=qr2020 ============================================================ INTRODUCTION ------------ The Qualitative Reasoning (QR) community develops qualitative representations and reasoning algorithms to understand the world from incomplete, imprecise, or uncertain data. Our qualitative models span natural systems (e.g., physics, biology, ecology, geology), social systems (e.g., economics, cultural decision-making), cognitive systems (e.g., conceptual learning, spatial reasoning, intelligent tutors, robotics), and more. The QR community includes researchers in Artificial Intelligence, Engineering, Cognitive Science, Applied Mathematics, and Natural Sciences, commonly seeking to understand, develop, and exploit the ability to reason qualitatively. This broadly includes: Developing new formalisms and algorithms for qualitative reasoning. Building and evaluating predictive, prescriptive, diagnostic, or explanatory qualitative models in novel domains. Characterizing how humans learn and reason qualitatively about the (physical) world with incomplete knowledge. Developing novel, formal representations to describe central aspects of our world: time, space, change, uncertainty, causality, and continuity. The International Workshop on QR provides a forum for researchers from multiple perspectives to share research progress toward these goals. The workshop will be held at ECAI-20, Santiago de Compostela, Spain, June 8-9, 2020 TOPICS ----------- Topics of interest include: Qualitative modeling in physical, biological and social sciences, and in engineering. QR to capture common sense reasoning. Methods that integrate QR with other forms of knowledge representation, including quantitative methods. Integration of QR and machine learning, for example learning qualitative representations or improve machine learning by means of QR. Using QR for diagnosis, design, and monitoring of physical systems. Applications of QR, including education, science, and engineering. Cognitive models of QR, including the use of existing QR formalisms for cognitive modeling and results from other areas of cognitive science for qualitative reasoning. Using QR in understanding language, decision-making, sketches, images, and other kinds of signals and data sources. Formalization, axiomatization, and mathematical foundations of QR. SUBMISSIONS --------------------- We invite submission of technical papers (full paper/short paper) summary papers (short paper) application or demo papers. Technical papers present novel ideas regarding representation and reasoning, and position this result in the context of known QR theory. For research-in-progress and late-breaking brilliant ideas, submission of short papers are welcome. We particularly encourage young researchers to submit. We also invite authors who recently published results of interest to the QR community to submit a short summary paper which highlights the results and explains relevance to QR. Application contributions present the use and evaluation of software implementing QR theory in real world applications. Evaluations can range from technology oriented (e.g. address software functioning in operational contexts) to human oriented (e.g. address usability or stakeholders and market related issues). Demos focus on (novel) implementations of QR theory in software. They can be ?proof of concepts?, but also mature products. Contributions typically address the ?extras? needed to realize the implementation. All contributions must be submitted via the the instructions on this workshop website. All submissions must be in PDF format and not exceed 6 pages for full papers (plus one for references), and 3 pages for short papers (plus one for references). Formatting instructions and additional information will be available on the workshop website. All submissions will be evaluated in a peer review process and selected according to their quality, significance, originality, and potential to generate discussion. Each contribution will be reviewed by at least two referees from the QR2020 Program Committee. Papers may be accepted for either oral or poster presentation. The accepted papers will be published as a collection of working papers. As QR2020 is a workshop, not a conference, submission of the same paper to conferences (e.g. AAAI or IJCAI) or journals is acceptable. To accommodate the publishing traditions of different fields, authors of accepted papers can ask that only a one-page abstract of the paper appear in the proceedings. Papers should be formatted according to the ECAI guidelines, available from the ECAI web page, and must be in PDF format. The workshop is also open to people who would like to attend without submitting a paper. Important Dates March 15, 2020: submission deadline April 15, 2020: notification of acceptance May 18, 2020: camera-ready papers due June 8 or 9 (TBA), 2020: QR2020 at ECAI ORGANISATION ----------------------- Program Co-Chairs: Nuria Agell, ESADE - Ramon Llull University Zoe Falomir, University of Bremen Lled? Museros, Universitat Jaume Diedrich Wolter, University of Bamberg Program Comittee: Jos? V. ?lvarez Bravo, Universidad de Valladolid Cecilio Angulo, Universitat Polit?cnica de Catalunya Mehul Bhatt, University of ?rebro Stefano Borgo, Laboratory for Applied Ontology, ISTC-CNR Bert Bredeweg, University of Amsterdam George Coghill, University of Aberdeen Juan J. Flores, Universidad Michoacana Ken Forbus, Northwestern University Scott Friedman, SIFT Joanna Goli?ska-Pilarek, University of Warsaw Luis Gonzalez-Abril, Universidad de Sevilla Hans Guesgen, Massey University Tomoya Horiguchi, Kobe University Liliana Ironi, IMATI-CNR Andrew Lovett, Northwestern University Emilio Mu?oz, Universidad de M?laga Juan Antonio Ortega, Universidad de Sevilla Wei Pang, University of Aberdeen Ismael Sanz, University Jaume I Steven Schockaert, Cardiff University Qiang Shen, Aberystwyth University Peter Struss, Technical University of Munich Kazuko Takahashi, Kwansei Gakuin University Louise Trav?-Massuy?s, LAAS-CNRS Jan Oliver Wallgr?n, Penn State University Jure Zabkar, University of Ljubljana -- Dr.-Ing. Zoe Falomir Llansola Senior Researcher W: https://sites.google.com/site/zfalomir/home Twitter @zfalomir LinkedIn: zfalomir From Menno.VanZaanen at nwu.ac.za Thu Feb 13 01:29:27 2020 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Thu, 13 Feb 2020 08:29:27 +0200 Subject: Connectionists: Extended deadline CfP First workshop on Resources for African Indigenous Language (RAIL) @ LREC 2020, Marseille, France Message-ID: <5E44ECC7020000AE002A6A61@v-pgw-nlx2.p.nwu.ac.za> Due to various requests, we have extended the submission deadline. NOTE: DEADLINE EXTENSION: 23 February 2020 Final call for papers First workshop on Resources for African Indigenous Language (RAIL) @ LREC 2020, Marseille, France http://bit.ly/sadilar_rail2020 The South African Centre for Digital Language Resources (SADiLaR) is organizing a workshop held at the LREC 2020 conference in Marseille, France in the field of African Indigenous Language Resources. This workshop aims to bring together researchers who are interested in showcasing their research and thereby boosting the field of African indigenous languages. This provides an overview of the current state-of-the-art and emphasizes availability of African indigenous language resources, including both data and tools. Additionally, it allows for information sharing among researchers interested in African indigenous languages as well as starting discussions on improving the quality and availability of the resources. Many African indigenous languages currently have no or very limited resources available and, additionally, they are often structurally quite different from more well-resourced languages, requiring the development and use of specialized techniques. By bringing together researchers from different fields (e.g., (computational) linguistics, sociolinguistics, language technology) to discuss the development of language resources for African indigenous languages, we hope to boost research in this field. The Resources for African Indigenous Languages (RAIL) workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. It aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as tools, specifically designed for or applied to indigenous languages found in Africa. With the UNESCO-supported International Year of Indigenous Languages, there is currently much interest in indigenous languages. The Permanent Forum on Indigenous Issues mentioned that "40 percent of the estimated 6,700 languages spoken around the world were in danger of disappearing" and the "languages represent complex systems of knowledge and communication and should be recognized as a strategic national resource for development, peace building and reconciliation." As such, the workshop falls within one of the hot topic areas of this year's conference: "Less Resourced and Endangered Languages". Suggested topics include the following: * Computational linguistics for African indigenous languages * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources Identify, Describe and Share your Language Resources (LRs)! Describing your LRs in the LRE Map is now a normal practice in the submission procedure of LREC (introduced in 2010 and adopted by other conferences). To continue the efforts initiated at LREC 2014 about ?Sharing LRs? (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new ?regular? feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data. As scientific work requires accurate citations of referenced work so as to allow the community to understand the whole context and also replicate the experiments conducted by oendorses the need to uniquely Identify LRs through the use of the International Standard Language Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be assigned to each Language Resource. The assignment of ISLRNs to LRs cited in LREC papers will be offered at submission time. Submission Guidelines RAIL 2020 asks for full papers from 4 pages to 8 pages (plus more pages for references if needed) , which must strictly follow the LREC stylesheet (https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/) which will be available on the conference website. Papers must be submitted through START (https://www.softconf.com/lrec2020/RAIL2020/) and will be peer-reviewed. Important dates Extended submission deadline: 23 February 2020 Date of notification: 13 March 2020 Camera-ready copy deadline: 2 April 2020 Workshop at conference: Morning session, 16 May 2020 Organizing Committee Rooweither Mabuya Phathutshedzo Ramukhadi Mmasibidi Setaka Valencia Wagner Menno van Zaanen South African centre for Digital Language Resources (SADiLaR), South Africa Programme committee Richard Ajah, University of Uyo, Nigeria Ayodele James Akinola, Chrisland University, Nigeria Felix Ameka, Leiden University, the Netherlands Sonja Bosch, University of South Africa, South Africa Ibrahima Ciss?, University of Humanities, Mali Elias Malete, University of the Free State, South Africa Fekede Menuta, Hawassa University, Ethiopia Innocentia Mhlambi, Wits University, South Africa Emmanuel Ngue Um, University of Yaound? I, Cameroon Guy de Pauw, Antwerp University and Textgain, Belgium Sara Petrollino, Leiden University, the Netherlands Pule Phindane, Central University of Technology, South Africa Danie Prinsloo, University of Pretoria, South Africa Justus Roux, Stellenbosch University, South Africa Msindisi Sam, Rhodes University, South Africa Gilles-Maurice de Schryver, Ghent University, Belgium Elsab? Taljard, University of Pretoria, South Africa Vrywaringsklousule / Disclaimer: http://www.nwu.ac.za/it/gov-man/disclaimer.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From senn at pyl.unibe.ch Thu Feb 13 08:14:32 2020 From: senn at pyl.unibe.ch (Walter Senn) Date: Thu, 13 Feb 2020 14:14:32 +0100 Subject: Connectionists: Postdoc and PhD positions on Biological Deep Learning Message-ID: Dear all A postdoc and two PhD positions devoted to the modeling of learning in deep cortical networks are available in our Computational Neuroscience labs at the University of Bern, Switzerland. Our research is focussed on biologically realistic models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, learning to learn, and neuromorphic implementations. The positions are part of the European Human Brain Project and are available from April 1st, 2020, for 3 years (extendable through other funding). We offer a stimulating environment with three research groups in theoretical and computational neuroscience, along with experimental neuroscience at the same Department of Physiology (physio.unibe.ch/gruppen.aspx), as well as close collaboration with other labs in neuroscience, artificial intelligence and neuromorphic engineering. Ideal candidates should have a strong background in computational neuroscience, machine learning, applied mathematics and/or physics. Please send your CV, publication list, letter of motivation and contact information for at least two references to Walter Senn (walter.senn at pyl.unibe.ch) and Mihai Petrovici (mihai.petrovici at pyl.unibe.ch), with cc to Sabine Herzog (sabine.herzog at pyl.unibe.ch). The first evaluation round will begin on March 23rd, 2020. The positions will remain open until filled. With best regards, Mihai Petrovici and Walter Senn From dftschool at ini.rub.de Thu Feb 13 09:28:49 2020 From: dftschool at ini.rub.de (DFT Summer School) Date: Thu, 13 Feb 2020 15:28:49 +0100 Subject: Connectionists: Neuronal dynamics for embodied cognition - Summer School 2020 - Bochum, Germany In-Reply-To: <9a23e332-afd9-2dcf-0291-f056fc8f8b7d@ini.rub.de> References: <9a23e332-afd9-2dcf-0291-f056fc8f8b7d@ini.rub.de> Message-ID: <2e35a216-6da6-951e-f385-7d0e82602ab6@ini.rub.de> Please forward this advertisement to whoever you think might be interested. The deadline for applications is May 27, 2020! Thanks, Raul Grieben and Jan Tek?lve --- Summer School on: NEURONAL DYNAMICS FOR EMBODIED COGNITION held from the 31st of August until the 4th of September, 2020 at the Institute for Neural Computation, Ruhr-University Bochum in Germany, coordinated by Prof. Dr. Gregor Sch?ner. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and down-to-earth 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. The school combines tutorial lectures in the mornings with hands-on projects working with robotic systems. Participants will develop their own modeling project, which may connect to their ongoing doctoral or postdoctoral research. 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. For more information see: https://dynamicfieldtheory.org/events/summer_school_2020/ To apply, please send a CV and a short cover letter with background and motivation to dftschool at ini.rub.de Selection of participants will begin by May 27, 2020. -- https://dynamicfieldtheory.org/ -------------- next part -------------- A non-text attachment was scrubbed... Name: summer_school_2020.pdf Type: application/pdf Size: 2853098 bytes Desc: not available URL: -------------- next part -------------- Summer School on: NEURONAL DYNAMICS FOR EMBODIED COGNITION held from the 31st of August until the 4th of September, 2020 at the Institute for Neural Computation, Ruhr-University Bochum in Germany, coordinated by Prof. Dr. Gregor Sch?ner. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and down-to-earth 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. The school combines tutorial lectures in the mornings with hands-on projects working with robotic systems. Participants will develop their own modeling project, which may connect to their ongoing doctoral or postdoctoral research. 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. For more information see: https://dynamicfieldtheory.org/events/summer_school_2020/ To apply, please send a CV and a short cover letter with background and motivation to dftschool at ini.rub.de Selection of participants will begin by May 27, 2020. From Donald.Adjeroh at mail.wvu.edu Thu Feb 13 22:14:07 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 14 Feb 2020 03:14:07 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS'2020 -- Social Computing, Behavior/Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2020 2020 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 14-17, 2020, Lehman Auditorium, George Washington University, Washington DC, USA http://sbp-brims.org/ #sbpbrims SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. IMPORTANT DATES: Regular Paper Submission: 21-February-2020 (Midnight EST) Author Notification: 16-March-2020 Final Version Submission for Regular Papers: 03-April-2020 Working Papers, Doctoral Consortium, Tutorial, Demo, and Challenge Submission*: 15-May-2020 Submit your paper here. You will be able to update your submission until the final paper deadline. Note, all papers undergo a rigorous peer review process for presentation in the plenary, regular, or poster sessions. All papers accepted to the plenary sessions will be published in the archival proceedings - the Springer LNCS volume. Regular papers will be evaluated for either the archival or online proceedings. The remaining tracks will be published online for 1 year on our non-archival conference website. Each accepted paper requires confirmation of conference registration and requires a separate registration. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. SPECIAL VALIDATION TRACK: This year we are soliciting papers for a special workshop on validation to be held during the conference. When submitting your paper in EasyChair please whether you want to be considered for this track. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). TRAVEL SCHOLARSHIPS: It is anticipated that a limited number of travel scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. TOPICS: Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Cultural patterns & representation * Social conventions, social contexts and processes * Influence process and recognition * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation Follow us on Facebook, Twitter and LinkedIn to receive updates. Download: Download Call for Papers in PDF format here. Conference website: http://sbp-brims.org/ * Late breaking and short papers are now referred to as working papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fpkibm at gmail.com Thu Feb 13 14:21:59 2020 From: fpkibm at gmail.com (Falk Pollok) Date: Thu, 13 Feb 2020 14:21:59 -0500 Subject: Connectionists: FastPath 2020: International Workshop on Performance Analysis of Machine Learning Systems Message-ID: Reminder: Submission deadline for FastPath 2020 is in one week. FastPath 2020: International Workshop on Performance Analysis of Machine Learning Systems (An ISPASS Workshop under the auspices of IEEE) April 5, 2020 - Boston, Massachusetts, United States https://fastpath2020.github.io in conjunction with ISPASS 2020: http://www.ispass.org/ispass2020 SUMMARY FastPath 2020 brings together researchers and practitioners involved in crossstack hardware/software performance analysis, modeling, and evaluation for efficient machine learning systems. Machine learning demands tremendous amount of computing. Current machine learning systems are diverse, including cellphones, high performance computing systems, database systems, self-driving cars, robotics, and in-home appliances. Many machine-learning systems have customized hardware and/or software. The types and components of such systems vary, but a partial list includes traditional CPUs assisted with accelerators (ASICs, FPGAs, GPUs), memory accelerators, I/O accelerators, hybrid systems, converged infrastructure, and IT appliances. Designing efficient machine learning systems poses several challenges. These include distributed training on big data, hyper-parameter tuning for models, emerging accelerators, fast I/O for random inputs, approximate computing for training and inference, programming models for a diverse machine-learning workloads, high-bandwidth interconnect, efficient mapping of processing logic on hardware, and cross system stack performance optimization. Emerging infrastructure supporting big data analytics, cognitive computing, large-scale machine learning, mobile computing, and internet-of-things, exemplify system designs optimized for machine learning at large. TOPICS FastPath seeks to facilitate the exchange of ideas on performance optimization of machine learning/AI systems and seeks papers on a wide range of topics including, but not limited to: - Workload characterization, performance modeling and profiling of machine learning applications - GPUs, FPGAs, ASIC accelerators - Memory, I/O, storage, network accelerators - Hardware/software co-design - Efficient machine learning algorithms - Approximate computing in machine learning - Power/Energy and learning acceleration - Software, library, and runtime for machine learning systems - Workload scheduling and orchestration - Machine learning in cloud systems - Large-scale machine learning systems - Emerging intelligent/cognitive system - Converged/integrated infrastructure - Machine learning systems for specific domains, e.g., financial, biological, education, commerce, healthcare SUBMISSION Prospective authors must submit a 2-4 page extended abstract: https://easychair.org/conferences/?conf=fastpath2020 Authors of selected abstracts will be invited to give a 30-min presentation at the workshop. KEY DATES Submission: February 21, 2020 Notification: March 2, 2020 Final Materials / Workshop: April 5, 2020 ORGANIZERS General Chair: Erik Altman Program Committee Chairs: Parijat Dube, Vijay Janapa Reddi [Sender: Falk Pollok, fpkibm<.at>gmail.com (with apologies for multiple posts)] From info at neuraltrain.de Fri Feb 14 09:30:54 2020 From: info at neuraltrain.de (Info Neuraltrain) Date: Fri, 14 Feb 2020 14:30:54 +0000 Subject: Connectionists: Berlin startup seeking new team members Message-ID: Opportunity to join a neuraltrain ? a research-based startup developing new types of digital mental health interventions Location: Berlin Hours: Full Time neuraltrain GmbH is a digital health start-up based in Berlin focused on developing digital interventions for mental health. Our current focus is on developing a digital intervention for depression that seeks to modify the irregularities in the affective processing circuits of the brain in depression. As a BMBF funded, research and tech-focused startup, we utilise a diverse range of different scientific and data-driven techniques in our interdisciplinary team as we design, conduct and analyse real experimental data (collected online and in university-based labs) to validate and improve our innovative interventions. We offer a young and dynamic working environment in an exciting co-working space right in the heart of Berlin with a small, but growing, team that is very well-connected to the Digital Health ecosystem. We are looking for people who are passionate about making a change in mental health who are interested in seeing research make a real impact on patients? lives today (and not waiting around until it does). The main roles we are looking to fill are listed below. Start dates are negotiable, although immediate availability is strongly preferred. ### Researcher specialised in neural oscillations / BCI / time-series analysis ### * PhD in Neurosciences/ Cognitive Neurosciences/ Psychology/ Electrical Engineering or related; graduates and post-docs are particularly encouraged to apply * Familiarity with the scientific literature on neural entrainment, brain-computer interfaces, SSVEP, neural oscillations or similar * Design, code and conduct behavioural and EEG experiments within our interdisciplinary team to examine the feasibility and efficacy of different interventions. * Analyse and interpret electroencephalogram (EEG) signals ? with an emphasis on frequency, coherence, and connectivity analyses. * For more details: http://bit.ly/neuraltrain_OscJob ### Data Engineer / Data Scientist ### * PhD in Computer science / Computational Neuroscience / or related field. * Comfortable working alongside psychologists to behaviourally quantify generated images * Interest in developing algorithms to help to tailor our digital intervention towards the specific needs of the individual (i.e. personalised medicine). * Experience in image classification, (i.e. recommender systems or neural nets), image generation (i.e. GANS) or analyses of clinical data is particularly desirable * For more details: http://bit.ly/neuraltrain_DataJob We are not looking for a single individual to perform all these roles ? but instead looking to add new colleagues with diverse skills to our existing team so that together we can further our work in these different areas. If this seems appealing to you ? or you want to discuss a little bit about how your skills might match up with our needs ? then please send a CV to recruiting at neuraltrain.de and get in touch. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Fri Feb 14 11:02:39 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Fri, 14 Feb 2020 16:02:39 +0000 Subject: Connectionists: Summer School on Machine Learning and Big Data with Quantum Computing @ Porto (Portugal), 7-8 September 2020 Message-ID: <8dc45113-58db-e5ee-d407-c7b33be0423a@isep.ipp.pt> Summer School on Machine Learning and Big Data with Quantum Computing (SMBQ 2020) Porto, Portugal, September 7-8, 2020 ##################################### Machine Learning (ML) is an Artificial Intelligence (AI) branch, is about teaching computers how to learn from data to make decisions or predictions. Deep Learning (DL) is part of a broader family of ML algorithms, that is based on artificial neural networks. Arguably, DL techniques demand for big amounts of data and, as such, they require huge computational resources and advanced processing techniques. Cloud Computing is a well-known alternative to deal with big amounts of data, since its elasticity allows for an efficient scalability of huge computational resources, such as, data storage and processing power. On the other hand, Quantum Computing is an advanced processing technique, that uses the fundamentals of quantum mechanics to accelerate the process of solving highly complex problems. SMBQ 2020 addresses the current trends in AI and in the computational techniques that deal with big data demands, together with, a powerful processing technique that will shape the future of computation. During 2 days, from 7-8 September 2020, we will introduce concepts, discuss the current trends and provide direct practical experience in hands-on lessons. For more information visit: https://smbq2020.dcc.fc.up.pt/ ##################################### Venue: Department of Computer Science, Faculty of Sciences, University of Porto Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. ##################################### Registration: Registrations include attendance to all sessions, coffee breaks, lunches, wi-fi internet and access to a desktop during the hands-on sections. We have a limit on the number of registrations (60 attendees), please register early! Early Fees: 150 euros ##################################### Contact Persons: Carlos Ferreira, Polytechnic Institute of Porto, LIAAD - INESC TEC, E-mail: cgf at isep.ipp.pt Miguel Areias, University of Porto, CRACS - INESC TEC, E-mail: miguel-areias at dcc.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 jose at rubic.rutgers.edu Fri Feb 14 11:48:49 2020 From: jose at rubic.rutgers.edu (=?UTF-8?Q?Stephen_Jos=c3=a9_Hanson?=) Date: Fri, 14 Feb 2020 11:48:49 -0500 Subject: Connectionists: AIHUB Message-ID: <781021e0-a921-61f7-425e-e2fafbc4df2f@rubic.rutgers.edu> AIhub.org - Improving understanding of Artificial Intelligence ---- Dear All, We?ve just launched a new website, http://AIhub.org, aimed at connecting the AI community to the public.? AIhub.org will host daily updates about the latest news, opinions, tutorials, and events in artificial intelligence. All information is produced by those working directly in the field, without filter or intermediary. Check here for ways in which you can contribute stories, podcasts, videos, tutorials, and more: https://aihub.org/contribute/ By providing free, high-quality information about AI, AIhub.org aims to reduce hype and improve understanding in the public, so that everyone can have a meaningful discussion about the deployment of AI in society. AIhub.org is supported by leading AI organisations including AAAI, NeurIPS, IMLS, AIJ/IJCAI, ACM SIGAI, and RoboCup. The new non-profit is set up as an independent Association, called the ?Association for the Understanding of Artificial Intelligence?, to ensure fair and impartial coverage of artificial intelligence. The Association currently includes 10 trustees from around the world and academic specialities, including Kamalika Chaudhuri (USA), Sanmay Das (USA), Tom Dietterich (USA), Stephen Jos? Hanson (USA), Sabine Hauert (UK), Michael Littman (USA), Michela Milano (IT), Carles Sierra (ES), Oskar von Stryk (DE), Zhi-Hua Zhou (CN). You can follow us here: Website: https://aihub.org Twitter: https://twitter.com/aihuborg Facebook: https://www.facebook.com/aihuborg Linkedin: https://www.linkedin.com/company/aihuborg For more information, please contact: Lucy Smith Managing Editor Sabine Hauert Executive Trustee Thomas Dietterich Executive Trustee Email: aihuborg at gmail.com -- Stephen Jos? Hanson Professor Director RUBIC (University-Wide) Department of Psychology (NK) Cognitive Science Center (NB) -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Fri Feb 14 12:19:09 2020 From: max.garagnani at gmail.com (Max Garagnani) Date: Fri, 14 Feb 2020 17:19:09 +0000 Subject: Connectionists: ** Part-time option opens ** -- MSc in Computational Cognitive Neuroscience Message-ID: <475E3FBE-49A9-4997-AD10-B3CAAFFADE5C@campus.goldsmiths.ac.uk> ******************************************************************************** The MSc in Computational Cognitive Neuroscience programme at Goldsmiths, University of London (UK) is now accepting application for 2020-21 entry. ** PART-TIME OPTION NOW OPEN ** We are delighted to announce the opening of a part/time option for the programme. Applications for full- and part-time study with entry in September 2020 and September 2021 are now open. To submit an application, please click on this link and follow the instructions. NOTE: places on this course are limited and allocated on a first-come first-served basis. Apply now to avoid disappointment later. COURSE OUTLINE: =============== This is a one-year full-time or two-years part-time MSc degree programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering), however, individuals with different backgrounds but equivalent experience will also be considered. (Note: students requiring a Tier-4 VISA to study in the UK are restricted to the full-time pathway of the programme). The course is a combined effort of the Computing and Psychology Departments and builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a solid theoretical basis and knowledge of experimental methods in computational cognitive neuroscience, providing them also with an opportunity to apply their newly acquired knowledge in a practical research project, which may be carried out in collaboration with one of our industry partners (see below). The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out ?in house? or in collaboration with an external partner, either from academia or industry. * INDUSTRY LINKS * ================= The programme benefits from an ongoing collaborative partnership with representatives from 6 different international companies with headquarters in UK, Germany, Italy, USA and Japan. Carrying out your final project in collaboration with one of our industry partners will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you particularly competitive on the job market. For any further information, including funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ https://www.gold.ac.uk/pg/fees-funding/ For any other specific questions, please do not hesitate to get in touch. Dr. Max Garagnani Dr. Maria Herrojo Ruiz -- Joint Programme Leaders, MSc in Computational Cognitive Neuroscience Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK Tel. +44 (0)20 7919 7850 Fax: +44 (0)20 7919 7853 https://www.gold.ac.uk/computing/people/garagnani-max/ https://www.gold.ac.uk/psychology/staff/herrojo-ruiz-maria/ Follow this Masters on Twitter: https://twitter.com/coconeuro_gold ******************************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From reflection at gmail.com Fri Feb 14 15:33:47 2020 From: reflection at gmail.com (Brian Mingus) Date: Fri, 14 Feb 2020 13:33:47 -0700 Subject: Connectionists: Reflections on Models Message-ID: The most important thing to know about models is that they affect your perception of reality. If you or your group becomes infected by a sufficiently unrealistic model, the consequences are devastating. Maintaining an unrealistic model as your worldview leads immediately to a kind of dissociation and creates and over time continues to magnify your resulting blind spots. These blind spots, if not rectified, promise, very sincerely, to end the species. Consider the following models: - All models are wrong. This model hitches a ride on the truism that ?nothing is necessary.? It is a trivial truth. Outside the synthetic aperture of mathematics the real world is a messy place, and you ought to, as a child, be made comfortable with that. Whereas ?all models are wrong? puts you in the position of staring down a never-ending existential crisis - a permanent instability that fails to establish itself as a safe platform for the future of the species. - All models are wrong, but some are useful. This model is elitist, allowing the person rocking it as their worldview to have a feeling of superiority over other people, such as found in Nassim Taleb. The reality is that all models are useful. In the worst cases, we can use a model as part of a Rube Goldberg machine that solves a problem, such as throwing bad models into the landfill of time. - The No Free Lunch Theorem. This model says that for every model, there is a counter-model. It concludes that it is therefore impossible to have knowledge. In reality, the No Free Lunch Theorems simplify to the negation operation - for anything that is said, simply add that it might also be the case that it is not true. The NFL theorems are nothing more than a mathematical attack on your ego, strengthened by your inability to penetrate the extremely advanced mathematics used to ?prove? them to you. Indeed, the entire idea of a model could be considered to be an attack on your individual person. As a flawed conception of a human being in the world, it leads to an endless cycle of navel-gazing-induced existential crises. Models, in their never-ending ambiguity, promise to erode all that is important to people. Our ability to love, have children who are optimistic stewards of the future of humanity, enjoy our lives and to live with confidence fall flat in the face of one simple operation - negation. Instead of negation, try optimistic, positive psychology and having respect and warm feelings and intentions for your fellow humans - all of them - 100%. -------------- next part -------------- An HTML attachment was scrubbed... URL: From reflection at gmail.com Fri Feb 14 18:44:59 2020 From: reflection at gmail.com (Brian Mingus) Date: Fri, 14 Feb 2020 16:44:59 -0700 Subject: Connectionists: Reflections on Models In-Reply-To: References: Message-ID: Daniel, thank you for the pointer. A quick look at it suggests that it is full of "dangerous ideas." Who among us is really qualified to read it? What if those ideas go viral. Is it safe? We can hardly abandon the search for truth. Yet, we must recognize it has global security implications. Instead of jumping to conclusions that impose top-down constraints on what it means to be human, we should be more bottom-up, looking for those truisms about being human that are essentially self-evident. As it is safe to do so, we can peek at science and slowly evolve our understanding together. Also, we must be careful that we don't use the search-for-truth itself as an excuse for getting caught in cycles of deviance that directly cause social havoc. If models are an inspiration for you, relatively uneducated people are excellent at PAC-learning. They know good-enough when they see it. Brian On Fri, Feb 14, 2020 at 2:53 PM Levine, Daniel S wrote: > When you say ?All models are wrong,? this reminds me of the statement in > Kurt Vonnegut?s *Cat?s Cradle* by one of the characters who had given up > the search for truth in favor of the search for useful lies. > > > > *From:* Connectionists *On > Behalf Of *Brian Mingus > *Sent:* Friday, February 14, 2020 2:34 PM > *To:* Connectionists > *Subject:* Connectionists: Reflections on Models > > > > The most important thing to know about models is that they affect your > perception of reality. If you or your group becomes infected by a > sufficiently unrealistic model, the consequences are devastating. > Maintaining an unrealistic model as your worldview leads immediately to a > kind of dissociation and creates and over time continues to magnify your > resulting blind spots. These blind spots, if not rectified, promise, very > sincerely, to end the species. > > Consider the following models: > > - All models are wrong. This model hitches a ride on the truism that > ?nothing is necessary.? It is a trivial truth. Outside the synthetic > aperture of mathematics the real world is a messy place, and you ought to, > as a child, be made comfortable with that. Whereas ?all models are wrong? > puts you in the position of staring down a never-ending existential crisis > - a permanent instability that fails to establish itself as a safe platform > for the future of the species. > > - All models are wrong, but some are useful. This model is elitist, > allowing the person rocking it as their worldview to have a feeling of > superiority over other people, such as found in Nassim Taleb. The reality > is that all models are useful. In the worst cases, we can use a model as > part of a Rube Goldberg machine that solves a problem, such as throwing bad > models into the landfill of time. > > - The No Free Lunch Theorem. This model says that for every model, there > is a counter-model. It concludes that it is therefore impossible to have > knowledge. In reality, the No Free Lunch Theorems simplify to the negation > operation - for anything that is said, simply add that it might also be the > case that it is not true. The NFL theorems are nothing more than a > mathematical attack on your ego, strengthened by your inability to > penetrate the extremely advanced mathematics used to ?prove? them to you. > > Indeed, the entire idea of a model could be considered to be an attack on > your individual person. As a flawed conception of a human being in the > world, it leads to an endless cycle of navel-gazing-induced existential > crises. > > Models, in their never-ending ambiguity, promise to erode all that is > important to people. Our ability to love, have children who are optimistic > stewards of the future of humanity, enjoy our lives and to live with > confidence fall flat in the face of one simple operation - negation. > Instead of negation, try optimistic, positive psychology and having respect > and warm feelings and intentions for your fellow humans - all of them - > 100%. > -------------- next part -------------- An HTML attachment was scrubbed... URL: From marinella.petrocchi at iit.cnr.it Sat Feb 15 06:35:35 2020 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Sat, 15 Feb 2020 12:35:35 +0100 Subject: Connectionists: Special Issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media Message-ID: <6e464247686448a402295cb4214f935b@iit.cnr.it> --apologies for cross-posting-- CALL FOR PAPERS Elsevier - Online Social Networks and Media Journal http://www.journals.elsevier.com/online-social-networks-and-media/ Special Issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media Submission Deadline: March 20, 2020 ********* 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. ********* Online Social Networks and Media natively convey the information quickly and diffusely. They are 'optimised' for posting and sharing catchy and sensationalist news. Problematic messages may span biased information aiming to influence communities and agendas to deliberate lies meant to mislead users. Whatever the strategy adopted for spreading false news (like support of automatic accounts and presence of trolls to inflame crowds), this would not be effective if there were no audience willing to believe them. The quest for belonging to a community and reassuring answers, the adherence to one's viewpoint: these are key factors for people to contribute to the success of disinformation diffusion. That's why the battle against disinformation must be fought at both technological and sociological level. This special issue seeks high-quality scientific articles (both theoretical and experimental) on using Online Social Networks and Media (OSNEM) data for the analysis of hoaxes, propaganda, and disinformation fabrication and spread on social media, automatic techniques to be embedded in OSNEM platforms to block/prevent their diffusion, and countermeasures to dissuade people to believe/diffuse them. Areas of interest include, but are not limited to, the design and implementation of methodologies and techniques to detect disinformation and/or raise the users' awareness to the threats represented by disinformation, including: Modelling and analysis techniques to study/predict the dynamics of the spread of disinformation; Text mining, graph mining, network and behavioural analyses to detect disinformation; Reputation systems to support the detection - or mitigate the effects - of disinformation; Disinformation strategies; Understanding and guiding the societal reaction in the presence of disinformation; Supervised/unsupervised approaches to let accounts? automation degree emerge from the crowd; Computational fact-checking; Detection of information polarization in online communities; Definition and evaluation of novel metrics to verify news veracity; Domain-free approaches to fight disinformation (i.e., context independent w.r.t. accounts, news, reviews, posts, tweets, etc..); Interplay between OSNEM social network structures and diffusion/prevention of disinformation; Behavioural models behind disinformation diffusion/prevention obtained from large-scale OSNEM data. Data-driven approaches, supported by publicly available datasets, are more than welcome. Guest Editors Yelena Mejova, ISI Foundation, Turin, Italy Marinella Petrocchi, IIT-CNR, Italy Carolina Scarton, University of Sheffield, UK *** 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:Disinformation" 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 Disinformation, Hoaxes and Propaganda within Online Social Networks and Media. For further information, please contact the guest editors at yelena.mejova at gmail.com marinella.petrocchi at iit.cnr.it c.scarton at sheffield.ac.uk -- Marinella Petrocchi Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) Mobile: +39 348 8260773 Skype: m_arinell_a Web: http://www.iit.cnr.it/staff/marinella.petrocchi `Luck is a matter of geography' (Bandabardo') From aeck at oberlin.edu Sat Feb 15 14:28:51 2020 From: aeck at oberlin.edu (Adam Eck) Date: Sat, 15 Feb 2020 14:28:51 -0500 Subject: Connectionists: Big Data Meets Survey Science (BigSurv20) Extended Deadline Message-ID: <90C4357B-4AF6-4A8E-ABBC-B05249757997@oberlin.edu> The BigSurv20 Abstract Submission Deadline has been Extended by ONE WEEK to February 20th! Abstract deadline extended to Feb. 20! Did you miss the BigSurv20 abstract submission deadline? No worries, there?s still time ? we?ve extended the submission deadline for the Big Data Meets Survey Science (BigSurv20) conference to February 20, 2020. So, if you are a computer or data scientist with an interest in social science and data collection or if you are a social scientist, survey methodologist, statistician or from another field with an interest in computer and data science submit your abstract to BigSurv20 at https://www.bigsurv20.org/abstracts to meet, interact, exchange ideas, collaborate, and learn from each other. JRSS-A and EPJ Data Science are publishing BigSurv20 special issues! Also don?t forget to let us know whether you would like your paper to be considered for publication in either of our peer-reviewed special issues: The Journal of the Royal Statistical Society: Series A or The EPJ Data Science . Learn more about BigSurv20 BigSurv20 will be held November 4-6, 2020 at Utrecht University in Utrecht, the Netherlands. If you want to learn more about BigSurv20, visit our webpage , check out our Twitter feed , peruse our current BigSurv20 eNewsletter , or subscribe to our future eNewsletters . If you have any questions, please email us at info at bigsurv20.org . -------------- next part -------------- An HTML attachment was scrubbed... URL: From miguel.solis at innovacionyrobotica.com Fri Feb 14 18:48:21 2020 From: miguel.solis at innovacionyrobotica.com (=?UTF-8?Q?Miguel_Sol=C3=ADs?=) Date: Fri, 14 Feb 2020 20:48:21 -0300 Subject: Connectionists: [ICDL-2020] Call for Tutorials Message-ID: Apologies if you receive multiple copies of this call due to cross-posting, please help to distribute among possible interested contributors. CALL FOR TUTORIALS: 10th IEEE International Conference on Development and Learning (ICDL) 7th-10th September 2020, Valparaiso, Chile Web page: https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Tutorial Proposals Open: 15th February 2020 Tutorial Proposals Deadline: 30h April 2020 Tutorial Proposals Notification: 15th May 2020 ==== Overview ==== We invite experts in different areas to organize a tutorial. The goal of tutorials is to provide insights into specific topics through hands-on training and interactive experiences or in-depth state of the art review. Tutorial organizers have several responsibilities, including activities scheduling, publicizing and providing the content on time. ICDL will support the organization with rooms, audio-visual equipment and coffee breaks. ==== Scope and Topics ==== The main 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. ==== Submission format ==== Proposals should be maximum of two pages long following the standard IEEE conference style. Proposals should be submitted in PDF format by email to icdl2020 at ac3e.cl with subject ?[Tutorials]?. Proposals should specify the following: Title Organizers Duration (half-day or full-day) A brief description of the topics to be covered Tentative program Target audience and interested groups Website Any logistic requirements such as poster stands, computers, projector, etc. For more information about the conference, 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, -------------- next part -------------- An HTML attachment was scrubbed... URL: From mail at mkaiser.de Sat Feb 15 07:36:02 2020 From: mail at mkaiser.de (Marcus Kaiser) Date: Sat, 15 Feb 2020 12:36:02 +0000 Subject: Connectionists: PostDoc position: developing computational models of disease progression in dementia Message-ID: Dear all, a 2-year PostDoc position for developing computational models of disease progression in dementia patients is available within my lab. *About the project* The most ideal time to intervene with disease-modifying treatment is early on before significant neurodegenerative change and neuronal loss has occurred. However, another highly relevant consideration is improvements in subtype diagnosis i.e. determination of the type of neurodegenerative process giving rise to dementia. Differentiation is crucial as there are different management trajectories for each disease; for example, neuroleptic drugs which are given to AD can be fatal in the DLB group. Promising preliminary data, using simulation of disease progression, suggest that we may be able to make an early diagnosis even when subtle changes cannot be detected with the current machine learning approach. Going beyond machine learning subtype classification, our study aims to develop a simulation-based model of disease progression that can facilitate early treatment of the disease leading to improved outcomes for patients and reduced overall healthcare costs. *Available RA position* As part of this project, the lab of Prof. Marcus Kaiser ( http://www.dynamic-connectome.org/ ), with joint supervision from the lab of Prof. John-Paul Taylor (https://www.lewybodylab.org/ ), are seeking a talented and enthusiastic research assistant with a PhD awarded, or a PhD thesis about to be submitted, in computational biology or related subjects; prior experience in the neurosciences is desirable. The aim of this joint project, between Newcastle University and Korea University, is to developing more accurate dementia progression models that can inform diagnosis and treatment of patients using neuroimaging (MRI and PET) data. Objectives of this position are, first, to observe brain network features of dementia patients and how these features are changing with disease progression. Second, to develop computational models of how structural and functional connectivity will change over time in these patients. Third, testing whether the models can reproduce the actual progression and to test different hypotheses about the underlying causes of brain network changes. Good communication skills, very strong dynamics modelling skills, and a track record of previous peer-reviewed journal publications. You will have experience with neuroimaging and/or computer simulations. The position will include visits to our collaborators in South Korea (Profs Cheol Han and Hyun-Ghang Jeong, Korea University). *Research Environment* Neuroinformatics at Newcastle University in the UK covers a range of topics from electrophysiology to neuroimaging. We are among the pioneers in connectome analysis and the establishment computational models to inform interventions in patients, e.g. through the ?10m Wellcome Trust/EPSRC-funded CANDO project. Our strength is a close collaboration between computational, experimental, and clinical researchers. We currently have a team of 13 faculty members in the areas of Neuroinformatics and Neurotechnology: http://neuroinformatics.ncl.ac.uk/ *How to Apply* Apply before 23 February 2020 at https://jobs.ncl.ac.uk/job/Newcastle-Research-Assistant-Associate-in-Computational-Modelling-Dementia-Progression/581938101/ For informal queries, please contact Dr Marcus Kaiser, Marcus.Kaiser at ncl.ac.uk Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics at Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study -------------- next part -------------- An HTML attachment was scrubbed... URL: From hrvoje.stojic at protonmail.com Sat Feb 15 15:50:29 2020 From: hrvoje.stojic at protonmail.com (Hrvoje Stojic) Date: Sat, 15 Feb 2020 20:50:29 +0000 Subject: Connectionists: Call for Applications: EADM Summer School on Learning and Decision Making Message-ID: <5ArEFRQafl7-qttQF3AbrdmhG-SinTMvjPp8vcrtD7F8d9rxW_4PWHDOKm0loDa7GQBgkXk9y8ab2e__ufimI7bn1Yt6Skxzo5gm0Snk1IY=@protonmail.com> APPLICATIONS ARE NOW OPEN (until 15 March 2020)! Dates: 8-15 July, 2020 Location: Universitat Pompeu Fabra, Barcelona, Spain Topic: Learning and Decision Making Eligibility to Apply: Early career researchers Further details available at: https://ldmss.org APPLICATION INSTRUCTIONS: https://ldmss.org#apply The 5th EADM Learning and Decision Making summer school will take place from the 8th to the 15th of July in Barcelona, Spain. It will cover a wide range of topics related to learning and decision making, including reinforcement learning, sampling biases, decisions from experience, function learning, category learning and social learning. Participants will receive advanced training and hands-on tutoring on various computational modeling approaches in learning and decision making from experts in the field and will get feedback on their latest research ideas in poster sessions. The program will also include social and group activities in the beautiful city of Barcelona. Confirmed faculty include: Mirta Galesic (Santa Fe Institute) Maarten Speekenbrink (University College London) Johannes M?ller-Trede (IESE Business School) Henrik Olsson (Santa Fe Institute) G. Elliot Wimmer (University College London) Mehdi Keramati (City University) J?rg Rieskamp (University of Basel) Elizaveta Konovalova (Max Planck Institute for Human Development) Cec?lia Nunes (Universitat Pompeu Fabra) More coming soon! The organization team: Gael Le Mens (Universitat Pompeu Fabra) Emmanouil Konstantinidis (University of Warwick) Hrvoje Stojic (University College London) Pantelis P. Analytis (University of Southern Denmark) Mikhail Spektor (Universitat Pompeu Fabra) Feel free to send us any questions at: ldmss at protonmail.com or on Twitter @ldmsschool. ----------------------------- Hrvoje Stojic, PhD Postdoctoral researcher University College London Website: [https://hstojic.re/](http://hstojic.re/) -------------- next part -------------- An HTML attachment was scrubbed... URL: From francisco.pereira at gmail.com Sat Feb 15 16:39:15 2020 From: francisco.pereira at gmail.com (Francisco Pereira) Date: Sat, 15 Feb 2020 16:39:15 -0500 Subject: Connectionists: job post: machine learning research scientist at NIMH Message-ID: *** HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the lead federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). *** About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of GPUs for deep learning) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt *** About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Desirable experience that is not required, but will be considered very favorably: - neuroimaging data processing and analysis (any MRI modality, as well as MEG/EEG) - Bayesian statistical modelling - natural language processing / structured data such as EHR or questionnaires Finally, you should have demonstrable experience coding in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. If you would like to be considered for this position, please send francisco.pereira at nih.gov a CV, with your email serving as cover letter. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest! From ASIM.ROY at asu.edu Sun Feb 16 01:29:42 2020 From: ASIM.ROY at asu.edu (Asim Roy) Date: Sun, 16 Feb 2020 06:29:42 +0000 Subject: Connectionists: =?windows-1252?q?Grandmother_cells_a_failed_conce?= =?windows-1252?q?pt=3F_Or_is_Barlow_right_that_grandmother_cells_exist_an?= =?windows-1252?q?d_=93can_now_be_recorded_from_and_studied_reliably=3F=22?= In-Reply-To: References: Message-ID: Ann-Sophie Barwich recently published an article in Frontiers in Neuroscience titled ?The Value of Failure in Science: The Story of Grandmother Cells in Neuroscience? (https://www.frontiersin.org/articles/10.3389/fnins.2019.01121/full) where she argues for the need for failure analysis in science and, in the context of neuroscience, analyzed the grandmother cell concept as a failed one. Although I was one of the reviewers who endorsed the article for publication (publication of alternative viewpoints is essential in science), I felt that Barwich?s arguments against grandmother cells were deeply flawed. I point out these flaws in a Commentary in Frontiers in Neuroscience: ?Commentary: The Value of Failure in Science: The Story of Grandmother Cells in Neuroscience:? https://www.frontiersin.org/articles/10.3389/fnins.2020.00059/full I think Reddy and Thorpe?s 2014 article clears the confusion about concept cells. With Reddy and Thorpe?s characterization of concept cells, one would find no difference between concept cells and grandmother cells. And that?s essentially what I have done in the Commentary ? show that concept cells and grandmother cells have identical properties. I also point out in the Commentary that it?s a false claim by Barwich (and in other prior articles that Barwich references) that concept cells can be part of a sparse population coding scheme. Given that concept cells have ?meaning? on a stand-alone basis, they can?t be part of any population coding scheme. And it?s also a false claim in Barwich that grandmother cells do not use associative learning, because grandmother cells have always been characterized as ?multimodal? going all the way back to Gross (2002). In addition, the neurophysiological evidence on multisensory neurons clearly point to a single-cell based abstract cognitive system in the brain, as claimed by Roy (2017). Overall, concept cell findings confirm the prediction of Barlow (2009) that grandmother cells exist and ?can now be recorded from and studied reliably.? YOU CAN EMAIL ME IF YOU WANT TO JOIN A DISCUSSION GROUP ON THIS TOPIC. Barlow, H. B. (2009). ?Grandmother cells, symmetry, and invariance: how the term arose and what the facts suggest,? in The Cognitive Neurosciences, 4th Edn., ed M. Gazzaniga (Cambridge, MA: MIT Press), 309?320. Reddy, L., and Thorpe, S. J. (2014). Concept cells through associative learning of high-level representations. Neuron 84, 248?251. doi: 10.1016/j.neuron.2014.10.004 Roy, A. (2017). The theory of localist representation and of a purely abstract cognitive system: the evidence from cortical columns, category cells, and multisensory neurons. Front. Psychol. 8:186. doi: 10.3389/fpsyg.2017.00186 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mycolleagues at mailman.ufsc.br Thu Feb 13 14:21:59 2020 From: mycolleagues at mailman.ufsc.br (Falk Pollok via Mycolleagues) Date: Thu, 13 Feb 2020 14:21:59 -0500 Subject: Connectionists: [Mycolleagues] FastPath 2020: International Workshop on Performance Analysis of Machine Learning Systems Message-ID: Reminder: Submission deadline for FastPath 2020 is in one week. FastPath 2020: International Workshop on Performance Analysis of Machine Learning Systems (An ISPASS Workshop under the auspices of IEEE) April 5, 2020 - Boston, Massachusetts, United States https://fastpath2020.github.io in conjunction with ISPASS 2020: http://www.ispass.org/ispass2020 SUMMARY FastPath 2020 brings together researchers and practitioners involved in crossstack hardware/software performance analysis, modeling, and evaluation for efficient machine learning systems. Machine learning demands tremendous amount of computing. Current machine learning systems are diverse, including cellphones, high performance computing systems, database systems, self-driving cars, robotics, and in-home appliances. Many machine-learning systems have customized hardware and/or software. The types and components of such systems vary, but a partial list includes traditional CPUs assisted with accelerators (ASICs, FPGAs, GPUs), memory accelerators, I/O accelerators, hybrid systems, converged infrastructure, and IT appliances. Designing efficient machine learning systems poses several challenges. These include distributed training on big data, hyper-parameter tuning for models, emerging accelerators, fast I/O for random inputs, approximate computing for training and inference, programming models for a diverse machine-learning workloads, high-bandwidth interconnect, efficient mapping of processing logic on hardware, and cross system stack performance optimization. Emerging infrastructure supporting big data analytics, cognitive computing, large-scale machine learning, mobile computing, and internet-of-things, exemplify system designs optimized for machine learning at large. TOPICS FastPath seeks to facilitate the exchange of ideas on performance optimization of machine learning/AI systems and seeks papers on a wide range of topics including, but not limited to: - Workload characterization, performance modeling and profiling of machine learning applications - GPUs, FPGAs, ASIC accelerators - Memory, I/O, storage, network accelerators - Hardware/software co-design - Efficient machine learning algorithms - Approximate computing in machine learning - Power/Energy and learning acceleration - Software, library, and runtime for machine learning systems - Workload scheduling and orchestration - Machine learning in cloud systems - Large-scale machine learning systems - Emerging intelligent/cognitive system - Converged/integrated infrastructure - Machine learning systems for specific domains, e.g., financial, biological, education, commerce, healthcare SUBMISSION Prospective authors must submit a 2-4 page extended abstract: https://easychair.org/conferences/?conf=fastpath2020 Authors of selected abstracts will be invited to give a 30-min presentation at the workshop. KEY DATES Submission: February 21, 2020 Notification: March 2, 2020 Final Materials / Workshop: April 5, 2020 ORGANIZERS General Chair: Erik Altman Program Committee Chairs: Parijat Dube, Vijay Janapa Reddi [Sender: Falk Pollok, fpkibm<.at>gmail.com (with apologies for multiple posts)] ------------------------------------------------------- We love you. We are sorry. Please forgive us. Thank you. _______________________________________________ Mycolleagues mailing list Mycolleagues at mailman.ufsc.br https://mailman.ufsc.br/mailman/listinfo/mycolleagues - Through this links above you can "subscribe", "unsubscribe", or change your settings in the list. OR - Easy unsubscribe: https://mailman.ufsc.br/mailman/options/mycolleagues From marcin at amu.edu.pl Sun Feb 16 14:09:12 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 16 Feb 2020 20:09:12 +0100 Subject: Connectionists: FedCSIS 2020 -- Initial Call for Papers In-Reply-To: References: Message-ID: <953fee8f-c9fc-5da2-4320-0a5a6edd96ce@amu.edu.pl> INITIAL 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: May 15, 2020, 23:59:59 pm HST (no extensions) (FedCSIS IEEE conference number: #49059) 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; conference fee covers 4 lunches and 3 social events; Sofia ? capital of Bulgaria, city history goes back to Roman times (with some, recently uncovered and made available to see, fascinating ruins of Serdika ? which is how Sofia was known during Tracian and Roman times). 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.ml The specific topic will be announced shortly, please check the competition site (or the conference portal). 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 May 15, 2020 (strict deadline, no extensions, submission system will be opened in the first week of March). + 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. 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): May 15, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: June 9, 2020 + Author notification: June 30, 2020 + Final paper submission and registration: July 15, 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 From poirazi at imbb.forth.gr Mon Feb 17 04:38:32 2020 From: poirazi at imbb.forth.gr (Yiota Poirazi) Date: Mon, 17 Feb 2020 11:38:32 +0200 Subject: Connectionists: DENDRITES 2020: Call for Abstracts extended to Feb. 22nd, 2020 Message-ID: Dear friends and colleagues, in response to multiple requests, the deadline for abstract submission to DENDRITES 2020 has been extended to February 22nd. Few spots are available for oral presentations by young students/postdocs, to be based on selected abstracts. DENDRITES 2020 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 27-30 June 2020 http://meetings.embo.org/event/20-dendrites We look forward to welcoming you to Heraklion for another exciting meeting on dendrites and beyond! on behalf of the organizers, Yiota Poirazi -------- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 ?mail: poirazi at imbb.forth.gr Lab site: www.dendrites.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon Feb 17 08:02:06 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Mon, 17 Feb 2020 13:02:06 +0000 Subject: Connectionists: CFP: Big Data & Deep Learning in HPC (IEEE Xplore) @Porto, Portugal Message-ID: <88dd9809-672e-b2a1-75ff-f07ec276532e@isep.ipp.pt> Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (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/) Porto, Portugal The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. ------------------------------------ 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: May 25, 2020 Author notification: July 1, 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 300 euros. Registration system available in https://sbac2020.dcc.fc.up.pt/bdl2020/registration.html ------------------------------------ VENUE ------------------------------------ Department of Computer Science, Faculty of Sciences, University of Porto Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. ------------------------------------ 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 p.miasnikof at mail.utoronto.ca Mon Feb 17 13:52:38 2020 From: p.miasnikof at mail.utoronto.ca (P Miasnikof) Date: Mon, 17 Feb 2020 18:52:38 +0000 Subject: Connectionists: Optimization for Data Science Session Message-ID: <1f6bded4-baaf-b877-5b53-8db2c7febaef@mail.utoronto.ca> To Whom It May Concern, We are currently accepting abstracts for a session on optimization for data science, to be held at the Canadian Operational Research Society 62nd Annual Conference. The conference will be held June 08-10 in Toronto. Please note the deadline for submission is February 28. If you are interested in the optimization for data science session, you should indicate you are applying for session OPT22 in your submission. More details can be found on the conference web page: https://uwaterloo.ca/canadian-operational-research-society-conference/ We look forward to seeing you! Best regards, Pierre From hans.ekkehard.plesser at nmbu.no Tue Feb 18 02:16:36 2020 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 18 Feb 2020 07:16:36 +0000 Subject: Connectionists: Three permanent associate professor positions in data science Message-ID: The Faculty of Science and Technology at the Norwegian University of Life Sciences is expanding its data science activities in research and education and invites applications for Three permanent associate professor positions in data science with focus on * Machine learning for the 21st century (https://www.jobbnorge.no/en/available-jobs/job/183310/associate-professor-in-data-science-machine-learning) * Data management for a data science world (https://www.jobbnorge.no/en/available-jobs/job/183306/associate-professor-in-data-science-data-management) * Value-oriented deployment of data science (https://www.jobbnorge.no/en/available-jobs/job/183315/associate-professor-in-data-science-value-oriented-deployment) Closing date for all positions is 22 March 2020. For details and to apply, please see the full announcements for the positions linked above. Background information about us, our programs and our expectations is available in https://arken.nmbu.no/~plesser/NMBU_ThreeAssocProfsDataScience_AdditionaInformation.pdf Best regards, Hans Ekkehard Plesser -- 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 J.Spencer at uea.ac.uk Tue Feb 18 06:11:56 2020 From: J.Spencer at uea.ac.uk (John Spencer (PSY - Staff)) Date: Tue, 18 Feb 2020 11:11:56 +0000 Subject: Connectionists: Faculty posts... In-Reply-To: References: <7E3254AA-BB2B-4BB2-AED7-3117DAEAE1E6@uea.ac.uk> Message-ID: Dear Colleagues, We have 7 open rank faculty positions at the University of East Anglia (UEA). We welcome applicants studying all aspects of computational neuroscience to join our world-class faculty. Note that we will be opening a new Brain Imaging Centre in October. Details can be found below and in the attached ads: https://myview.uea.ac.uk/webrecruitment/pages/vacancy.jsf?vacancyRef=ATR1517 FACULTY OF SOCIAL SCIENCES SCHOOL OF PSYCHOLOGY Lecturer/Associate Professor/Professor in Psychology (up to seven Posts) Ref: ATR1517 A competitive professorial salary package is available for outstanding candidates. In the next phase of growth, the UEA School of Psychology seeks new appointments to complement existing research strengths within the School. Priority will be given to candidates with a sustained record of internationally leading research outputs, research income, and research leadership, specialising in any area of Psychology. Applicants with expertise in cognition across the lifespan (ageing, adolescence, child development) and/or computational approaches to psychological science are particularly encouraged to apply. Up to two of the posts will be at Professorial level for outstanding candidates. We also seek applicants who can demonstrate synergies with other schools/faculties, commensurate with the multidisciplinary ethos at UEA, and the world-leading facilities at the Norwich Research Park. Applicants must have a PhD or equivalent qualification and be able to satisfy all other essential criteria for the role. These posts are available from 1 July 2020 or as soon as possible thereafter on a full time or part time, indefinite basis. Closing Date: 16 March 2020 The University is a Silver Athena Swan Award holder. John P. Spencer, PhD Professor Developmental Dynamics Lab https://www.facebook.com/DDPSYUEA http://www.uea.ac.uk/developmental-dynamics-lab/home School of Psychology, Room 0.09 Lawrence Stenhouse Building, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ United Kingdom Telephone 01603 593968 [/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage002.jpg at 01D48BB4.171FA130][/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage004.jpg at 01D48BB4.171FA130] Gold (Teaching Excellence Framework 2017-2021) World Top 200 (Times Higher Education World University Rankings 2020) UK Top 25 (The Times/Sunday Times 2020 and Complete University Guide 2020) World Top 50 for research citations (Times Higher Education World University Rankings 2020) Athena SWAN Silver Award Holder in recognition of advancement of gender equality for all (Advance HE 2019) Any personal data exchanged as part of this email conversation will be processed by the University in accordance with current UK data protection law and in line with the relevant UEA Privacy Notice. This email is confidential and may be privileged. If you are not the intended recipient please accept my apologies; please do not disclose, copy or distribute information in this email or take any action in reliance on its contents: to do so is strictly prohibited and may be unlawful. Please inform me that this message has gone astray before deleting it. Thank you for your co-operation. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 199 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 5592 bytes Desc: image002.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 2465 bytes Desc: image003.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: UEA ATR1517.pdf Type: application/pdf Size: 50490 bytes Desc: UEA ATR1517.pdf URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: UEA ATR1517.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 32087 bytes Desc: UEA ATR1517.docx URL: From kenneth_blum at harvard.edu Tue Feb 18 16:09:39 2020 From: kenneth_blum at harvard.edu (Blum, Kenneth I.) Date: Tue, 18 Feb 2020 21:09:39 +0000 Subject: Connectionists: Swartz postdoc in theoretical neuroscience at Harvard Message-ID: <57236702-8148-4C61-9BFC-53E01A038B83@harvard.edu> The Swartz Program at Harvard University seeks applicants for a postdoctoral fellow in theoretical and computational neuroscience. Based on a grant from the Swartz Foundation, a Swartz postdoctoral fellowship is available at Harvard University with a start date in 2020. Postdocs join a vibrant group of experimental and theoretical neuroscientists at Harvard's Center for Brain Science. The Center for Brain Science includes junior and senior faculty doing research on a wide variety of topics, including neural mechanisms of rodent learning, decision-making, and sex-specific and social behaviors; reinforcement learning in rodents and humans; human motor control; behavioral and fMRI studies of human cognition; circuit mechanisms of learning and behavior in worms, larval flies, and larval zebrafish; circuit mechanisms of individual differences in flies and humans; rodent and fly olfaction; inhibitory circuit development; retinal circuits; and large-scale reconstruction of detailed brain circuitry. Interested applicants should immediately send a CV, statement of research interests, and arrange for three letters of reference to be sent to Haim Sompolinsky (haim at fiz.huji.ac.il), Kenneth Blum (kenneth_blum at harvard.edu), Sam Gershman (gershman at fas.harvard.edu), or Cengiz Pehlevan (cpehlevan at seas.harvard.edu). Applications should have ?Swartz Fellowship? in the subject line. Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vvouloutsi at ibecbarcelona.eu Tue Feb 18 12:40:30 2020 From: vvouloutsi at ibecbarcelona.eu (Vicky Vouloutsi) Date: Tue, 18 Feb 2020 17:40:30 +0000 Subject: Connectionists: [meetings] [LM2020] Living Machines 2020 - Second call for papers Message-ID: Dear colleagues, Please find below the second call for papers, satellite events, and sponsors for the 9th International Conference on Biomimetic and Biohybrid Systems of Living Machines, 28th-31st of July 2020. Apologies for cross-posting but please share this announcement with your colleagues. Looking forward to seeing you in Freiburg, Germany! -------------------------------------------------------------------------------------------------------------------------- *Second Call for Papers, Satellite Events and Sponsors* *Living Machines. The 9th International Conference on Biomimetic and Biohybrid Systems* * 28 ? 31 July 2020* To be hosted at the Botanical Garden of Freiburg and the Cluster of Excellence livMatS at the University of Freiburg, Germany Accepted papers will be published in *Springer Lecturer Notes in Artificial Intelligence* *Submission deadline: March 23, 2020* http://livingmachinesconference.eu/2020 -------------------------------------------------------------------------------------------------------------------------- *ABOUT LIVING MACHINES 2020* The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. *Biomimetics* is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. *Biohybrid* systems are formed by combining at least one biological component?an existing living system?and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair, and recycling inspired by natural processes such as reproduction, digestion, morphogenesis, and metamorphosis. The following are some examples of ?Living Machines? as featured at past conferences: * Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. * Biomimetic computers?neuromimetic emulations of the physiological basis for intelligent behavior. * Active biomimetic materials and structures that self-organize and self-repair or show other bio-inspired functions. * Nature-inspired designs and manufacturing processes. * Biohybrid brain-machine interfaces and neural implants. * Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. * Organism-level biohybrids such as robot-animal or robot-human systems. *ACTIVITIES* The main conference will take the form of a *three-day single-track oral* and *poster presentation program*, *28th July to 31st July 2020*, and will be hosted at the Botanical Garden of Freiburg by the University of Freiburg, Germany, and the Cluster of Excellence ?Living, Adaptive and Energy-autonomous Materials Systems (livMatS)? (www.livmats.uni-freiburg.de). The conference program will include *five plenary lectures* from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to two days of *Satellite Events* hosted at the University of Freiburg. *SUBMITTING TO LIVING MACHINES 2020* We invite both *full papers* and *extended abstracts* in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines Proceedings, published in the *Springer-Verlag Lecture Notes in Artificial Intelligence*. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybrid research. More preliminary work is better suited for short paper submission (maximum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation with a short podium preview. Extended abstracts will be accepted for poster presentations only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal *Connection Science*. *SATELLITE EVENTS* Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or half-day *tutorials*, *symposia* or *workshops* on related themes to be held on 28. July at the Institute for Biology II/III of the University of Freiburg (http://www.bio.uni-freiburg.de/index-en?set_language=en). Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is flexibility about the content, organization, and budgeting for these events. Please contact us if you are interested in organizing a satellite event! *EXPECTED DEADLINES* March 23, 2020: Paper submission deadline May 15, 2020: Notification of acceptance May 25, 2020: Camera-ready copy July 28, 29-31, 2020 Workshops and Conference *SPONSORSHIP* Organizations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products through conference publications, conference events, and conference publicity are encouraged to contact the organizers to discuss the terms of sponsorship and necessary arrangements. We also offer a number of attractive options for potential sponsors. *VENUE* Consistent with the Living Machines? tradition of choosing historical venues at the crossroads between life and human sciences, this year the conference will take place at the Botanical Garden of Freiburg. Freiburg is considered the gateway to the Black Forest and thanks to its geographical location is blessed with mild weather all year round. The city is over 900 years old and known to be the sunniest city(1,740 hours of sunshine/year) in Germany. Freiburg has a beautiful historical inner city and is home to one of the oldest universities and Botanical Gardens in Germany. The Botanical Garden Freiburg will be celebrating its 400 year anniversary in 2020 and is located in the district Herdern near the Botanical Institute of the University of Freiburg. The Botanical Garden invites visitors to enjoy its wonderful greenery and learn about both plants from all around the world and plant-based biomimetics with its biomimetic educational trail. The trail highlights biomimetic inventions based on plants while providing fascinating insights into underlying biological principles. *CONFERENCE ORGANIZING COMMITTEE* *Thomas Speck* University of Freiburg, Germany (Local Chair) *Paul Verschure* IBEC, BIST, ICREA, CSN Foundation (Co-Chair) *Tony Prescott* University of Sheffield, CSN Foundation (Steering Committee) *Anna Mura* IBEC, BIST Barcelona, CSN Foundation (General Organization) *PROGRAM CHAIR* *Vicky Vouloutsi* IBEC, BIST, Barcelona *COMMUNICATION* *Sonja Seidel* University of Freiburg, Germany *Yulia Sandamirskaya* INI, Zurich Univ. and ETH *WORKSHOPS CHAIR* *Falk Esser* University of Freiburg, Germany *LOCAL ORGANIZERS COMMITTEE* *Thomas Speck* University of Freiburg, Germany *Falk Esser* University of Freiburg, Germany *Sonja Seidel* University of Freiburg, Germany Aquest correu electr?nic cont? informaci? confidencial emparada pel secret professional. Qualsevol reproducci?, distribuci? o divulgaci? del seu contingut estan estrictament prohibides. Si vost? no ?s el destinatari, li preguem no faci difusi? ni copi? el seu contingut i ens ho notifiqui el m?s aviat possible a l'adre?a dataprotection at ibecbarcelona.eu Este correo electr?nico contiene informaci?n confidencial amparada por el secreto profesional. Cualquier reproducci?n, distribuci?n o divulgaci?n de su contenido est?n estrictamente prohibidas. Si usted no es el destinatario, le rogamos no difunda ni copie su contenido y nos lo notifique de inmediato a la direcci?n dataprotection at ibecbarcelona.eu This electronic transmission contains confidential information covered by professional secrecy. Any reproduction, distribution or disclosure of its contents is strictly prohibited. If you are not the intended recipient, you are kindly requested not to disseminate nor to copy this transmission and to notify us as soon as possible by email to dataprotection at ibecbarcelona.eu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Wed Feb 19 03:21:11 2020 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Wed, 19 Feb 2020 09:21:11 +0100 Subject: Connectionists: CFP - ISWC 2020 Doctoral Consortium Message-ID: Call for Doctoral Consortium Papers -------------------------------------------------- 19th International Semantic Web Conference (ISWC 2020) Athens, Greece, November 2-6, 2020 http://iswc2020.semanticweb.org Proposals due: May 18, 2020 The ISWC 2020 doctoral consortium will be held at the 19th International Semantic Web Conference in Athens, Greece. This is an opportunity for PhD students to: ? communicate and discuss their research in a critical, yet supportive environment; ? receive feedback from their (senior) peers; ? build an understanding of possible career pathways past their PhD degree; as well as ? network and build collaborations in the community. ISWC is the premier venue for presenting state of the art research and innovative systems related to the Semantic Web and Linked Data, attracting a large number of high quality submissions every year and participants from both academia and industry. ISWC brings together researchers from different areas, such as knowledge representation, artificial intelligence, databases, natural language processing, information systems, human computer interaction, information retrieval, web science, etc., who investigate, develop and use novel methods and technologies for representing, accessing, interpreting, and using information on the Web in a more effective way. Submission site: https://easychair.org/conferences/submissions?a=23778752 Details: https://iswc2020.semanticweb.org/calls/call-for-doctoral-consortium-papers/ Chairs Elena Simperl King?s College London Harith Alani Open University Contact: iswc2020-doctoral at easychair.org Follow us: Twitter: @iswc_conf #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/groups/13612370 Facebook: https://www.facebook.com/ISWConf/ From ccht at iit.it Wed Feb 19 04:20:48 2020 From: ccht at iit.it (ccht) Date: Wed, 19 Feb 2020 09:20:48 +0000 Subject: Connectionists: Last days to apply: Postdoc Senior in Computer Vision and Machine Learning for Cultural Heritage - Venice Message-ID: <06745591b1fb4de7a76a4bd6629cf4f7@iit.it> PostDoc on Computer Vision and Machine Learning (CCHT at Ca'Foscari) - [ Postdoc ] Added on: 26/09/2019 - Expires on 15/02/2020 The IIT Centre for Cultural Heritage Technology (CCHT at Ca'Foscari) of the Istituto Italiano di Tecnologia (IIT) in Venice has been established for researching and promoting new technologies and approaches for recording, documentation, analysis and preservation of Cultural Heritage in a broad sense (artistic, archaeological, archival, historical heritage). A strongly interdisciplinary infrastructure, the Centre combines expertise from computing and conservation sciences domains, integrating these competencies to foster cutting-edge research. CCHT at Ca'Foscari is currently seeking to appoint a Senior PostDoc (i.e. minimum of 3 year experience outside PhD program) with a solid background in Computer Vision and Machine Learning approaches and methods, to be applied to Cultural Heritage applications. The search seeks at consolidating CCHT expertise especially in one or more of the following applications (not comprehensive list): 3D artefact digitisation and recording, document and text analysis, artefact classification and remote sensing data processing. The selected candidate will join an interdisciplinary team of researchers, contributing to the development of next generation Computer Vision and Machine Learning approaches applied to the Cultural Heritage and, more broadly, Digital Humanities domains. Required qualifications: * a Ph.D. in computer science or related field (with specialisation in either Computer Vision or Machine Learning) and +3 years CV/ML experience outside PhD, OR demonstrated similar experience; * Knowledge of programming languages, e.g. Python, MATLAB etc.; * Experience in grant proposal preparation at National and/or European level; * Interest in cultural heritage (applications to archaeology, art, artefact studies etc) and, more broadly, Digital Humanities * Proven interdisciplinary collaborations with scientific staff or stakeholders in the Cultural Heritage /Digital Humanities fields. * Good communication skills and ability to cooperate; * Proficient in English language (written and oral). Desirable skills: * Strong track record of research publications in top tier conferences and journals (e.g. CVPR, ICCV, ECCV, ICML, NIPS, PAMI, JMLR, etc.). * Experience in supervising or co-supervising Ph.D. students or postdocs; * Knowledge of OpenCV, PCL and Open3D libraries; * Experience on Deep Learning algorithms and relevant platforms (e.g. TensorFlow, PyTorch, Theano, Caffe); * The successful candidate will be offered a competitive salary commensurate to experience and skills. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be on February 15th, 2020. Please send your application to applications at iit.it quoting "CCHT Computer Vision and Machine Learning Senior PostDoc BC 77512" in the e-mail subject. Your application must include (as separate documents): * a detailed CV * a research statement, expanding on current and past research * 3 representative publications. * name and contacts of two referees Contacts: applications at iit.it https://www.iit.it/careers/openings/opening/1088-postdoc-on-computer-vision-and-machine-learning-cchtcafoscari -------------- next part -------------- An HTML attachment was scrubbed... URL: From midas at iiitd.ac.in Wed Feb 19 05:01:57 2020 From: midas at iiitd.ac.in (MIDAS Lab IIIT Delhi) Date: Wed, 19 Feb 2020 15:31:57 +0530 Subject: Connectionists: IEEE BigMM 2020, New Delhi, India: Call for Workshop Proposals (Deadline: 29 February) Message-ID: Dear Colleagues ********************************************************** Submission Deadline: 29 February 2020 PST ********************************************************** Consider submitting your workshop proposals to the IEEE BigMM 2020. Kindly share the CfWP with others who may wish to submit workshop proposals to IEEE BigMM 2020, which will be held at Jawaharlal Nehru University (JNU), New Delhi, in collaboration with Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi). ------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of the CfWP. ------------------------------------------------------------------------ Further information: Webpage: http://bigmm2020.org/index.php/calls-for-submission/workshop-proposals The IEEE International Conference on Multimedia Big Data (BigMM), jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing) and IEEE-TCSEM (Technical Committee on Semantic Computing), is the world's premier forum of leading scholars in the highly active multimedia big data research, development, and applications. The sixth BigMM conference is jointly hosted by the Jawaharlal Nehru University (JNU) and Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), will be held in JNU, New Delhi from September 24 to 26 in 2020. Workshops should cover at least a single session (4~6 regular papers). The organizer(s) of approved workshops are responsible for advertising their workshop, distributing the call for papers, gathering submissions, and conducting the paper review process. Please note that the page limit is 8 pages (excluding a maximum of 2 pages for references) in the IEEE double-column format for workshop papers. Workshop proposals should be submitted via email to the workshop co-chairs: Mayurakshi Chaudhuri Naimul Khan A workshop proposal should include the following information in a single PDF file: - Workshop title - A draft "Call for Papers" articulating the scope and topics covered by the workshop including goals, relevance to Big MM - Members of the organizing committee with their contact information, and if available, tentative program committee - Proposed workshop duration (1/2 or full day) - If this is a recurring workshop, the organizers need to briefly describe the past attendance and outcomes. - A one-paragraph biographical sketch for each organizing committee member, describing relevant qualifications, including research and conference/workshop organizing experience Proposals will be evaluated based on the significance of the topic, impact, and qualifications of organizers as well as the quality of the proposed list of potential papers. Deadlines: Proposals for workshop proposals due: February 29, 2020 Acceptance notification: March 15, 2020 You may check more details at http://bigmm2020.org, https://twitter.com/ieeebigmm, and https://www.facebook.com/ieeebigmm. -- Best regards MIDAS - Multimodal Digital Media Analysis Lab *"Where Research for Society is a Pleasure." * A-415, Level 4, New Academic Building, IIIT-Delhi, Okhla Industrial Estate Phase 3, Near Govindpuri Metro Station, Delhi - 110020. Phone: +91-11-26907495 Website: http://midas.iiitd.edu.in Twitter: https://twitter.com/midasiiitd LinkedIn: https://linkedin.com/company/midasiiitd Facebook: https://www.facebook.com/midasiiitd -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Wed Feb 19 05:20:43 2020 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Wed, 19 Feb 2020 10:20:43 +0000 Subject: Connectionists: Data Scientist (KTP Associate) to develop an AI-driven Primary Care Workflow Automation System Message-ID: The Computer Science and Electronic Engineering at University of Essex, UK is working in partnership with Firza Ltd to offer an exciting opportunity for a Data Scientist (KTP Associate) to develop an AI-driven Primary Care Workflow Automation System to collect, process and act upon patient data, , using Natural Learning Processing (NLP), Computer Vision (CV) and Machine Learning (ML) techniques. *DUTIES OF THE POST* The duties of the post will include: * Investigation of machine learning, OCR and text classification techniques. * Design and development of an automated document classification system for classifying scanned and electronic medical patient document types and information sources. * Development of pipeline processes combining document image recognition, document classification, text analysis and knowledge extraction components using external medical data metathesaurus and semantic networks /ontologies. * Investigation of probabilistic and fuzzy logic techniques for inexact text terms matching and risk assessment pertaining extracted and classified medical information. * Development of advanced document classification, text extraction and patient risk assessment. * Pro-processing and compiling medical domain datasets for evaluating the integrated documentation classification system. * Preparing academic papers and patents applications. *Application closing date*: 24/02/2020 *Full details: * https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=920406LaD7&WVID=9918109NEm&LANG=USA Dr Alba Garc?a Seco de Herrera PhD Lecturer Department of Computer Science and Electronic Engineering (CSEE) University of Essex T +44 (0) 1206 872907 E alba.garcia at essex.ac.uk ? *https://www.essex.ac.uk/ * WE ARE ESSEX -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Wed Feb 19 05:09:50 2020 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Wed, 19 Feb 2020 12:09:50 +0200 Subject: Connectionists: Job opening: postdoc at the South African Centre for Digital Language Resources (SADiLaR) Message-ID: <5E4D096E020000AE002A94CC@v-pgw-nlx2.p.nwu.ac.za> POST-DOCTORAL FELLOWSHIP The South African Centre for Digital Language Resources (SADiLaR), in conjunction with the North-West University (NWU), is offering a postdoctoral fellowship for suitably qualified candidates in the fields of digital humanities (DH), computational linguistics, corpus linguistics, digital lexicography, data mining and visualisation, digital curation, or related fields. SADiLaR is a national research infrastructure whose mandate is to focus on digital text and speech resource development of the official languages of South Africa. It runs two programmes, one of which is a digitisation programme which includes the systematic creation of relevant digital text, speech and multi-modal resources for these languages, as well as the development of appropriate natural language processing tools for research and development purposes. The second is a DH programme which facilitates research capacity-building by promoting and supporting the use of digital data and innovative methodological approaches within the Humanities and Social Sciences. The successful candidate will be required to: - Perform research on one or more South African languages in the context of DH or a related field - Produce and publish accredited, peer-reviewed articles in the domains of SADiLaR?s main programmes - Participate in research projects managed or executed by SADiLaR - Provide limited research support to junior researchers - Assist with capacity-building in the field of DH through the presentation of workshops, and assistance with the conceptualisation of DH projects on a national basis Minimum requirements: - A doctoral degree in an appropriate field associated with digital humanities obtained within the past five years. Fields can include - AI; Machine Learning; Computer Studies; Data Science etc. - A proven track record of publications in journals and/or conference proceedings - Demonstrable programming experience for data processing and visualisation OR knowledge of data analysis and visualisation tools used in DH research Recommendations: - Good communication skills (written and verbal) - Experience in working in teams - Teaching experience Remuneration: - The aim of the grant is to fund successful candidates at per annum tax free from NWU funding. - A further maximum amount of R20 000 per annum will be made available for running costs. - A once-off amount to a maximum of R20 000 will be made available for relocation costs. - Full funding (accommodation, subsistence, travel and registration costs) to attend at least one recognised international conference annually, to disseminate accepted paper(s) related to research. Duration: Fellowships are awarded for an initial period of one year, renewable for a second and third year, subject to the following conditions: - Satisfactory progress on the research project(s) as agreed with the fellowship advisor - Productive integration into the research group - Availability of funding Research Infrastructure: SADiLaR will provide the successful candidate with necessary research infrastructure as well as project funding to successfully execute the candidate?s duties. Project funding will be awarded based on accepted research proposal(s) that will be evaluated on an ad hoc basis. How to apply: Please send your abbreviated CV, ID/passport and qualifications to the following email address: info at sadilar.org Applications deadline: 29 February 2020 Vrywaringsklousule / Disclaimer: http://www.nwu.ac.za/it/gov-man/disclaimer.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Wed Feb 19 08:55:38 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Wed, 19 Feb 2020 21:55:38 +0800 Subject: Connectionists: CIKM2020 - Upcoming Deadlines for Workshop and Tutorial Proposals Message-ID: * Apologies for cross-posting * ** 2nd Call for WORKSHOP AND TUTORIAL PROPOSALS - deadlines approaching! ** In conjunction with CIKM 2020 (Galway, Ireland - October 19th-23rd, 2020) https://cikm2020.org/ **************************** CALL FOR WORKSHOP PROPOSALS **************************** Important dates: March 30th, 2020 Workshop proposal submission April 14th, 2020 Proposal acceptance notification More info: https://cikm2020.org/call-for-workshop-proposals/ Prospective submissions of highly interactive full-/half-day workshops bringing communities around the CIKM2020?s special theme of sustainability, transparency and fairness are particularly welcome. Interdisciplinary workshops bridging across different communities are also highly encouraged. Workshops will complement the main CIKM conference. **************************** CALL FOR TUTORIAL PROPOSALS **************************** Important Dates: Tutorial proposal deadline: April 17th 2020 Tutorial proposal notification: May 5th 2020 More info: https://cikm2020.org/call-for-tutorial-proposals/ CIKM 2020 will host tutorials covering topics of interest for the CIKM community, which include information and knowledge management. Half-day and full-day tutorials that are of interest for the research community will take place before the main conference, on 19-20.10.2020. Tutorial attendees will pay a separate registration fee to cover the facility costs. Check our sponsorship options for an opportunity to reach out to the experts in the domain! https://cikm2020.org/sponsorship/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From michele.giugliano at sissa.it Wed Feb 19 12:13:45 2020 From: michele.giugliano at sissa.it (Michele Giugliano) Date: Wed, 19 Feb 2020 18:13:45 +0100 Subject: Connectionists: Two postdoctoral positions in cellular electrophysiology and neurobiology at SISSA, Italy Message-ID: <9CCA32CB-7FA5-4B3D-9D0A-A6EAACC21BE6@sissa.it> Apologies for cross posting Two postdoctoral positions in cellular electrophysiology and neurobiology ------------------------------------------------------------------------------------------------- Two postdoctoral positions are available immediately at the Neuroscience Area of SISSA - the International School for Advanced Studies, in the lab of Neuronal Dynamics head by Dr. Michele GIUGLIANO. Both positions are funded for up to 38 months each, on a newly funded EC-Horizon 2020 project called "Ionic Neuromodulation For Epilepsy Treatment (IN-FET)". This project combines neurobiology, nanotechnologies, electrochemistry, and electronics together towards a novel breakthrough technology in brain modulation. At SISSA, we aim at experimentally validating novel routes for cellular and microcircuit stimulation or suppression, in collaboration with a consortium of partners which includes IBM Research Zurich, the University of Geneva, the University of Sheffield, and the Inter-university consortium for Nanoelectronics. We thus search for experts in in vitro electrophysiology (substrate-integrated microelectrode arrays) and patch-clamp recordings (dissociated cell cultures, acute and organotypic brain tissue slices) with a strong background in quantitative data analysis and an interest for interdisciplinary research. The deadline for the application is 19/03/2020 and the link to apply is https://pica.cineca.it/sissa/ar-fe-neur-17-2020/ More information at: https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento-di-n-2-assegni-di-ricerca-area-neuroscienze-0 For any scientific information, email to michele.giugliano at sissa.it For any administrative information, email to assegniricerca at sissa.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Wed Feb 19 12:20:34 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Wed, 19 Feb 2020 18:20:34 +0100 Subject: Connectionists: CFP: CVPR 2020 Workshop and Challenge on Learned Image Compression (CLIC) Message-ID: Apologies for cross-posting ******************************* CALL FOR PARTICIPANTS & PAPERS CLIC: 3rd Workshop and Challenge on Learned Image Compression 2020 in conjunction with CVPR 2020, June 14, Seattle, USA. Website: http://www.compression.cc/ MOTIVATION Our workshop aims to gather publications which will advance the field of image and video compression using state of the art machine learning and computer vision techniques. Even with the long history of signal-processing oriented compression, taking new approaches to image processing have great potential, due to the proliferation of high-resolution cell-phone images and special hardware (e.g., GPUs and mobile AI accelerators). The potential in this area has already been demonstrated using recurrent neural networks, convolutional neural networks, and adversarial learning, many of these matching the best image-compression standards when measured on perceptual metrics. As such, we are interested in the various techniques associated with this class of methods. Broadly speaking, we would like to encourage the development of novel encoder/decoder architectures, novel ways to control information flow between the encoder and the decoder, novel optimization objectives for improved perceptual quality and learn how to quantize (or learn to quantize) better. CHALLENGE TRACKS There are two challenge tracks. In the low bit-rate track, images need to be compressed to below 0.15 bits per pixel (bpp). This is the same task as in previous years, which allows us to measure progress over the years. As a first step towards video compression, this year also includes a P-frame track. Here, video P-frames need to be predicted from a previous frame. Low-rate compression For the low bit-rate track (which is similar to the one we ran at CLIC 2018), contestants will be asked to compress the entire dataset to 0.15 bpp or smaller. The winners of the competition will be chosen based human perceptual rating task and will be asked to give a short talk at the CLIC workshop. PSNR and MS-SSIM will be evaluated but not considered for prizes. We will provide last year?s professional and mobile datasets (all splits) as the training data for this challenge track. A new test set will be generated for this year and released during the test phase. P-frame compression The P-frame challenge will require entrants to compress a video frame conditioned on the previous image frame. Instead of splitting the dataset into training and test sets, in this track the entire dataset is released before the test phase. To discourage overfitting, the model size is added to the compressed dataset size and the sum cannot exceed a target bit-rate. That is, participants should try to minimize both the dataset size and the model size. The winner will be determined based on MS-SSIM. REGULAR PAPERS We will have a short (4 pages) regular paper track, which allows participants to share research ideas related to image compression. In addition to the paper, we will host a poster session during which authors will be able to discuss their work in more detail. We encourage exploratory research which shows promising results in: ? Lossy image compression ? Quantization (learning to quantize; dealing with quantization in optimization) ? Entropy minimization ? Image super-resolution for compression ? Deblurring ? Compression artifact removal ? Inpainting (and compression by inpainting) ? Generative adversarial networks ? Perceptual metrics optimization and their applications to compression And, in particular, how these topics can improve image compression. CHALLENGE PAPERS The challenge task participants are asked to submit a short paper (up to 4 pages) detailing the algorithms which they submitted as part of the challenge. SUBMISSION (TBA) IMPORTANT DATES November 22th 2019 Development phase & announcement. The training part of the dataset released. January 7th, 2020 The validation part of the dataset released, online validation server is made available. March 13th, 2020 Final decoders for the challenge are expected to be submitted. March 16th, 2020 Test set is released for contestants to compress. March 20th, 2020 Encoded test set submission deadline. The competition is closed at this point. March 23th, 2020 Paper and Factsheet submission deadline.per and Factsheet submission deadline. April 6th, 2020 Paper decision notification. Mid April, 2020 Camera ready deadline for CVPR Mid May, 2020 End of human evaluation on both challenges. Results will be released online before the workshop. SPEAKERS Nils Thuerey, Technical University of Munich, Germany Yochai Blau, Technion, Israel Tom Bird, UCL, London ORGANIZERS George Toderici (Google) Wenzhe Shi (Twitter) Radu Timofte (ETH Zurich) Lucas Theis (Twitter) Johannes Ball? (Google) Eirikur Agustsson (ETH Zurich / Google) Nick Johnston (Google) Fabian Mentzer (ETH Zurich) SPONSORS (TBU): Google Twitter CVL / ETH Zurich Huawei Disney Research MediaTek Website: http://www.compression.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Wed Feb 19 12:19:31 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Wed, 19 Feb 2020 18:19:31 +0100 Subject: Connectionists: CFP: CVPR 2020 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 9 CHALLENGES NTIRE: 5th New Trends in Image Restoration and Enhancement workshop and challenges on real world super-resolution, extreme SR, denoising, demoireing, deblurring, spectral reconstruction, quality mapping, nonhomogeneous dehazing In conjunction with CVPR 2020, June 15, Seattle, USA. Website: http://www.vision.ee.ethz.ch/ntire20/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS ? 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 ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video restoration, enhancement, manipulation on constrained settings ? Image/video processing on mobile devices ? Visual domain translation ? Multimodal translation ? Perceptual enhancement ? Perceptual manipulation ? Depth estimation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation, depth estimation ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. http://cvpr2020.thecvf.com/submission/main-conference/author-guidelines The review process is double blind. Accepted and presented papers will be published after the conference in the CVPR 2020 Workshops Proceedings. Author Kit: http://cvpr2020.thecvf.com/sites/default/files/2019-09/cvpr2020AuthorKit.zip Submission site: https://cmt3.research.microsoft.com/NTIRE2020 WORKSHOP DATES ? *Regular Papers Submission Deadline: March 15, 2020* ? Challenge Papers Submission Deadline: April 04, 2020 IMAGE CHALLENGES (*ongoing!*) 1. *Perceptual Extreme Super-Resolution *(x16) 2. *Real-World Super-Resolution * 3. *Real Denoising* (rawRGB and sRGB) 4. *Deblurring *(on desktop and on smartphone) 5. *Demoireing* (single image and burst) 6. *Spectral Reconstruction from RGB* 7. *Nonhomogeneous Dehazing * VIDEO CHALLENGES (*ongoing!*) 1. *Quality Mapping* (supervised and weakly supervised) 2. *Deblurring* To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE webpage: http://www.vision.ee.ethz.ch/ntire20/ CHALLENGES DATES ? Release of train data: January 10, 2020 ? *Competitions end: March 23, 2020* ORGANIZERS ? Radu Timofte, ETH Zurich, Switzerland ? Martin Danelljan, ETH Zurich, Switzerland ? Shuhang Gu, ETH Zurich, Switzerland & University of Sydney, Australia ? Kai Zhang, ETH Zurich, Switzerland ? Lei Zhang, The Hong Kong Polytechnic University ? Ming-Hsuan Yang, University of California at Merced, US ? Luc Van Gool, ETH Zurich, Switzerland and KU Leuven, Belgium ? Cosmin Ancuti, UPT, Romania ? Codruta O. Ancuti, University Politehnica Timisoara, Romania ? Kyoung Mu Lee, Seoul National University, Korea ? Michael S. Brown, York University, Canada ? Eli Shechtman, Adobe Research ? Zhiwu Huang, ETH Zurich, Switzerland ? Seungjun Nah, Seoul National University, Korea ? Abdelrahman Kamel Siddek Abdelhamed, York University, Canada ? Mahmoud Afifi, York University, Canada ? Boaz Arad, Voyage 81, Israel ? Shanxin Yuan, Huawei Noah's Ark Lab, UK ? Gregory Slabaugh, Huawei Noah's Ark Lab, UK SPEAKERS (TBA) SPONSORS (TBU) CVL / ETH Zurich Huawei Oppo Disney Research MediaTek Voyage81 Website: http://www.vision.ee.ethz.ch/ntire20/ Contact: radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From dr.curto at icloud.com Wed Feb 19 17:17:23 2020 From: dr.curto at icloud.com (=?utf-8?B?IkouIEQuIEN1cnTDsyI=?=) Date: Wed, 19 Feb 2020 22:17:23 -0000 Subject: Connectionists: =?utf-8?q?McKernel=3A_A_Library_for_Approximate_K?= =?utf-8?q?ernel_Expansions_in_Log-linear_Time=2E?= Message-ID: <9fd928fd-6191-42e1-88ae-3cc4c098a807@me.com> Dear Colleagues and Friends, We are pleased to announce the release (v2.2) of McKernel: A Library for Approximate Kernel Expansions in Log-linear Time (https://arxiv.org/pdf/1702.08159.pdf). Abstract: McKernel introduces a framework to use kernel approximates in the minibatch setting with Stochastic Gradient Descent (SGD) as an alternative to Deep Learning. Based on Random Kitchen Sinks [Rahimi and Recht 2007], we provide a C++ library for Large-scale Machine Learning. It contains a CPU optimized implementation of the algorithm in [Le et al. 2013], that allows the computation of approximated kernel expansions in log-linear time. The algorithm requires to compute the product of matrices Walsh Hadamard. A cache friendly Fast Walsh Hadamard that achieves compelling speed and outperforms current state-of-the-art methods has been developed. McKernel establishes the foundation of a new architecture of learning that allows to obtain large-scale non-linear classification combining lightning kernel expansions and a linear classifier. It travails in the mini-batch setting working analogously to Neural Networks. We show the validity of our method through extensive experiments on MNIST and FASHION MNIST [Xiao et al. 2017]. Code (by Curt? and Zarza): https://github.com/curto2/mckernel Please also check its follow-up work: Doctor of Crosswise: Reducing Over-parametrization in Neural Networks (https://arxiv.org/pdf/1905.10324.pdf). Abstract: Dr. of Crosswise proposes a new architecture to reduce over-parametrization in Neural Networks. It introduces an operand for rapid computation in the framework of Deep Learning that leverages learned weights. The formalism is described in detail providing both an accurate elucidation of the mechanics and the theoretical implications. Code (by Curt? and Zarza): https://github.com/curto2/dr_of_crosswise Best regards, De Curt?. -- J. D. Curt? http://decurto.ch/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From midas at iiitd.ac.in Thu Feb 20 06:19:38 2020 From: midas at iiitd.ac.in (MIDAS Lab IIIT Delhi) Date: Thu, 20 Feb 2020 16:49:38 +0530 Subject: Connectionists: IEEE BigMM 2020, New Delhi, India: Call for Grand Challenge Proposals (Deadline: 29 February) Message-ID: Dear Colleagues ********************************************************** Submission Deadline: 29 February 2020 PST ********************************************************** You may consider submitting your Grand Challenge proposals to the IEEE BigMM 2020. Kindly share the CfGCP with others who may wish to submit Grand Challenge proposals to IEEE BigMM 2020, which will be held at Jawaharlal Nehru University (JNU), New Delhi, in collaboration with Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi). ------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of the call. ------------------------------------------------------------------------ Further information: Webpage: http://bigmm2020.org/index.php/calls-for-submission/grand-challenge-proposals The IEEE International Conference on Multimedia Big Data (BigMM), jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing) and IEEE-TCSEM (Technical Committee on Semantic Computing), is the world's premier forum of leading scholars in the highly active multimedia big data research, development, and applications. The sixth BigMM conference is jointly hosted by the Jawaharlal Nehru University (JNU) and Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), will be held in JNU, New Delhi from September 24 to 26 in 2020. The IEEE BigMM?20 organizing committee is inviting proposals for the Multimedia Grand Challenge which is to be held in conjunction with the conference. The objective of the Challenge is to attract the multimedia research community by proposing well defined and objectively judged challenge problems aim toward putting into practice and evaluate the state-of-the-art research which in turn can potentially lead to future research directions. The major criteria of the Challenge is that proposed problems should be useful and of interest to the community, and should involve a series of research tasks over a long period of time, with pointer toward long-term research. Grand Challenge proposals should be submitted via email to the workshop co-chairs: Rameshwar Pratap (IIT Mandi) rameshwar at iitmandi.ac.in Amit Sangroya (TCS Research & Innovation) amit.sangroya at tcs.com A Multimedia Grand Challenge proposal should include: - A brief description explaining why the challenge problem is important and relevant to the multimedia research community, industry, society over the span of the next 3-5 years. - A description of a specific set of research tasks or sub-tasks to be carried out towards tackling the challenge problem in the long run. - An outline of the current state-of-the-art techniques and a description of why this Grand Challenge would help in accelerating or providing new research directions in the multimedia research community. - Pointer to the relevant datasets to be used for objective training and evaluation of the grand challenge tasks. Clear and complete documentation on the datasets should be provided. - A description of clearly and rigorously defined evaluation metrics and/or procedures on how the submissions will be evaluated. - Work with IEEE BigMM?20 organizers to publicize the Grand Challenge tasks to researchers for participation. - Contact information of at least two organizers who will be responsible for organizing, publicizing, reviewing and judging the Grand Challenge submissions as described in the proposal. - It is highly recommended to publish and maintain a website related to their specific Grand Challenge containing the information, datasets, tasks for the Grand Challenge at least the next 3 years. - Note that although we ask organizers to express a multi-year commitment to their Grand Challenge, the Challenge will still undergo a new review each year. Priority will be given to Grand Challenges which have been successful in the past and are clearly contributing to continuity. Deadlines: We are accepting the Multimedia Grand Challenge Proposals in the following two rounds. - Proposal submission: 29 February 2020 - Proposal notification: 15 March 2020 You may check more details at http://bigmm2020.org, https://twitter.com/ieeebigmm, and https://www.facebook.com/ieeebigmm. -- Best regards MIDAS - Multimodal Digital Media Analysis Lab *"Where Research for Society is a Pleasure." * A-415, Level 4, New Academic Building, IIIT-Delhi, Okhla Industrial Estate Phase 3, Near Govindpuri Metro Station, Delhi - 110020. Phone: +91-11-26907495 Website: http://midas.iiitd.edu.in Twitter: https://twitter.com/midasiiitd LinkedIn: https://linkedin.com/company/midasiiitd Facebook: https://www.facebook.com/midasiiitd -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Vanrossum at nottingham.ac.uk Thu Feb 20 06:55:22 2020 From: Mark.Vanrossum at nottingham.ac.uk (Mark Van Rossum) Date: Thu, 20 Feb 2020 11:55:22 +0000 Subject: Connectionists: Nottingham DTC in AI, PhD positions In-Reply-To: References: Message-ID: Dear all Applications are invited from UK/EU students for a number of fully-funded PhD studentships in the first cohort of the Nottingham Doctoral Training Centre in Artificial Intelligence, based within the School of Computer Science at the University of Nottingham, starting in autumn 2020. These studentships will start on 1 October 2020 and will be four years in duration. https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI1934 A full list of topics that applicants are asked to rank in terms of interest is listed here: https://www.nottingham.ac.uk/computerscience/studywithus/postgraduateresearch/nottinghamdtcinai.aspx Deadline is very fast: 28 Feb. We might run a second round of recruitment in April/May. This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. From O.Inel at tudelft.nl Thu Feb 20 12:02:45 2020 From: O.Inel at tudelft.nl (Oana Inel) Date: Thu, 20 Feb 2020 17:02:45 +0000 Subject: Connectionists: ACM IUI 2020: Call for Participation Message-ID: * We apologize for cross-posting * *** ACM IUI 2020: Call for Participation *** * Cagliari, Italy * March 17-20, 2020 * http://iui.acm.org/2020/ ## Upcoming deadlines Early registration: Feb 8, 2020 ## ACM IUI 2020 ACM IUI 2020 is the 25th annual premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) and the 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 to improve 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. ## CONFERENCE PROGRAM ================================ In addition to the 65 papers, the conference program will include three keynote presentations by Brad A Myers (IUI4EUD: Intelligent User Interfaces for End-User Development), Margaret Burnett (Explaining AI: Fairly? Well?) and Ana Paiva (Humans and Robots Together: engineering sociality and collaboration), 49 posters and demos, 8 workshops and 2 tutorials. The technical program will be complemented by social events to facilitate informal discussions and networking among the conference attendees and invited guests. TUESDAY, MARCH 17 Workshop & Tutorial Day WEDNESDAY, MARCH 18 09:00 - 09:30 Welcome and Opening Plenary 09:30 - 10:30 Keynote Brad A Myers (IUI4EUD: Intelligent User Interfaces for End-User Development) 11:00 - 12:30 Parallel Sessions (Intelligent Support and Active & Interactive ML) 14:00 - 15:30 Parallel Sessions (Gestures & Accessibility and Natural Language Interfaces) 16:00 - 17:30 Doctoral Consortium 18:00 - 20:00 Reception with poster/demo THURSDAY, MARCH 19 09:00 - 10:00 Keynote Margaret Burnett (Explaining AI: Fairly? Well?) 10:00 - 11:00 Parallel Sessions (Recommender Systems 1 and Intelligent Visualizations) 11:30 - 13:00 Parallel Sessions (Sketching and Explanations 1) 14:30 - 16:00 Parallel Sessions (Multimodal and User Modeling/Personalization 1) 16:30 - 17:00 Most Impactful Paper Award 17:00 - 18:00 Panel "25 years of IUI - the road traversed and the road ahead" 20:00 - 22:00 Social Dinner FRIDAY, MARCH 20 09:00 - 10:00 Keynote Ana Paiva (Humans and Robots Together: engineering sociality and collaboration) 10:00 - 11:00 Parallel Sessions (Displays & Accessibility and User Modeling/Personalization 2) 11:30 - 13:00 Parallel Sessions (Methods and Explanations 2) 14:30 - 16:00 Parallel Sessions (Wearable & Ubiquitous and Recommender Systems 2) 16:30 - 17:30 Town Hall Late Registration ends on March 15! -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Thu Feb 20 23:58:01 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 21 Feb 2020 04:58:01 +0000 Subject: Connectionists: SBP-BRiMS'2020 -- Deadline extended; More info on Special Validation Track In-Reply-To: References: , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2020 2020 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 14-17, 2020, Lehman Auditorium, George Washington University, Washington DC, USA http://sbp-brims.org/ #sbpbrims ********* New Submission Deadline for Regular Paper: 28-February-2020 (Midnight EST) Also, see below for more information on the Special Validation Track. ********* SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. IMPORTANT DATES: Regular Paper Submission: 28-February-2020 (Midnight EST) Author Notification: 16-March-2020 Final Version Submission for Regular Papers: 03-April-2020 Working Papers, Doctoral Consortium, Tutorial, Demo, and Challenge Submission*: 15-May-2020 Submit your paper here. You will be able to update your submission until the final paper deadline. Note, all papers undergo a rigorous peer review process for presentation in the plenary, regular, or poster sessions. All papers accepted to the plenary sessions will be published in the archival proceedings - the Springer LNCS volume. Regular papers will be evaluated for either the archival or online proceedings. The remaining tracks will be published online for 1 year on our non-archival conference website. Each accepted paper requires confirmation of conference registration and requires a separate registration. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. SPECIAL VALIDATION TRACK: This year we are soliciting papers for a special workshop on validation to be held during the conference. When submitting your paper in EasyChair please whether you want to be considered for this track. Validation serves as a robust check on inferences made from social computing, modeling and simulation. Validated models, algorithms and tools are needed in order to appropriately translate them into actionable intelligence, applications and workflows that are of consequence for societal benefit. The Special Track on Validation invites submission that address multiple aspects of validation including but not limited to epistemology, qualitative and quantitative methods for validation, barriers to validation, and best practices for validation. Submissions are invited from all disciplines including but not limited to health and well-bring, military and intelligence, social computing, and behavioral sciences. Full papers and working papers are welcome for this track. Please follow the paper format guidelines for each submission type. You must select the Special Track on Validation on the submission website when submitting papers under this track. Selected papers will be invited for oral or poster presentations during a special panel on validation at the conference. Papers are due 15-May-2020. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). TRAVEL SCHOLARSHIPS: It is anticipated that a limited number of travel scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. TOPICS: Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Cultural patterns & representation * Social conventions, social contexts and processes * Influence process and recognition * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation Follow us on Facebook, Twitter and LinkedIn to receive updates. Download: Download Call for Papers in PDF format here. Conference website: http://sbp-brims.org/ * Late breaking and short papers are now referred to as working papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From asaffio at aass.oru.se Fri Feb 21 11:28:17 2020 From: asaffio at aass.oru.se (Alessandro Saffiotti) Date: Fri, 21 Feb 2020 17:28:17 +0100 Subject: Connectionists: Last CFP: New Foundations for Human-Centered AI (extended deadline) In-Reply-To: References: Message-ID: <81542_1582302508_01LGSPfo083179_c0fd4c78-6a69-ea63-9ccb-4b7fa7bb5103@aass.oru.se> ====================================================================== = NeHuAI-2020 = 1st International Workshop on New Foundations for Human-Centered AI = June 9, Santiago de Compostela, Spain (Part of ECAI-2020) ====================================================================== * Submission deadline extended to March 10 (strict) * SYNOPSIS -------- In June 2018, the European Commission has appointed a "AI High Level Expert Group" (AI-HLEG) to support the implementation of the European Strategy on Artificial Intelligence. One of the first results of the AI-HLEG has been to deliver ethics guidelines on Artificial Intelligence (https://ec.europa.eu/futurium/en/ai-alliance-consultation/guidelines). These guidelines put forward a human-centered approach to AI, and list seven key requirements that human-centered, trustworthy AI systems should meet, summarized by the following headers: 1. Human agency and oversight 2. Technical robustness and safety 3. Privacy and data governance 4. Transparency 5. Diversity, non-discrimination and fairness 6. Societal and environmental wellbeing 7. Accountability Many of today's most popular AI methods, however, fail to meet these guidelines: making them compliant is a scientific endeavor that is as crucial as it is challenging and stimulating. Systems based on deep learning are a case in point: while these systems often provide impressive results, their ability to _explain_ these results to the user is very limited, challenging requirements 4 and 7; in most cases we lack ways to formally _verify_ their correctness and assess their boundary conditions, challenging requirement 2; and we don't yet have methods to allow humans to _collaboratively_ influence or question their decisions, challenging requirement 1. Similar criticalities are present in many other popular AI methods. This full day workshop will collectively address the fundamental questions of what are the scientific and technological gaps that we have to fill in order to make AI systems _human-centered_ in terms of the above guidelines. PAPER SUBMISSION ---------------- Contributions are seeked on new foundations for building Human-Centered AI systems, able to comply with AI-HLEG recommendations. Contributions are seeked in the form of full papers (max 7 pages plus references) presenting mature results, or position papers and reports of relevant ongoing work (max 4 pages including references). More specific topics include, but are not limited to: - Explainable AI - Verifiable AI - Technical robustness and safety of AI systems - Collaboration between humans and AI systems - Integrating model-based and data-driven AI - Integrating symbolic- and sub-symbolic AI - Mixed initiative AI-Human systems - Proactive AI systems in human environments - Understanding and naturally interacting with humans - Understanding and interaction in complex social settings - Reflexivity and expectation managament - Integrating Learning, Reasoning and Acting in AI systems - Integrating human and robot cognition Papers should be formatted according to the ECAI2020 formatting style, available at the ECAI2020 website (ecai2020.eu). Submissions are not anonymous. Accepted papers will be made available on the workshop site, and must be presented at the workshop. There will be no official proceedings, but we will consider editing a special issue including extended versions of the presented papers. Submit your paper by March 10 (extended deadline, strict) via Easychair: https://easychair.org/conferences/?conf=nehuai2020 ORGANIZERS ---------- Alessandro Saffiotti (Orebro University, Sweden) Luciano Serafini (Fondazione Bruno Kessler, Trento, Italy) Paul Lukowicz (DFKI, Kaiserslautern, Germany) SUPPORTING ORGANIZATIONS ------------------------ This worskhop is jointly organized by AI4EU (ai4eu.eu), the EU landmark project to develop a European AI on-demand platform and ecosystem; and by Humane-AI (humane-ai.eu), the EU FET preparatory action devoted to designing a European research agenda for Human Centered AI. MORE INFORMATION ---------------- http://nehuai2020.aass.oru.se/ ====================================================================== From aurelie.calabrese at inria.fr Fri Feb 21 04:21:00 2020 From: aurelie.calabrese at inria.fr (Aurelie Calabrese) Date: Fri, 21 Feb 2020 10:21:00 +0100 (CET) Subject: Connectionists: =?utf-8?q?PhD_program_in_e-health_funded_through_?= =?utf-8?q?the_European_Union=E2=80=99s_Horizon_2020_program_to_join_Inria?= =?utf-8?q?=E2=80=99s_Biovision_team_in_Sophia-Antipolis=2C_France?= Message-ID: <43154156.6799477.1582276860782.JavaMail.zimbra@inria.fr> Title : Pushing the limits of reading performance screening with Artificial Intelligence: Towards large-scale evaluation protocols for the Visually Impaired Summary : Reading performance evaluation has become one of the essential clinical measures for judging the effectiveness of treatments, surgical procedures, or rehabilitation techniques for low-vision patients. To create accurate reading tests, one needs to design a series of equivalent sentences in terms of linguistics, length, and layout. However, because of their highly constrained nature, these sentences are hard to produce, leading to a very limited number of test versions. Your primary mission will be to develop fundamental AI methods for automated natural language production, respecting strict constraints. Your results will have a direct impact on the design of powerful e-health diagnostic and rehabilitation tools that will benefit low-vision patients and their medical care staff. This project requires skills in computer science (algorithms, data structure, combinatorial optimization), and you should have a keen interest in medical applications. You will be part of a pluridisciplinary academic consortium, with three supervisors bringing their complementary expertise (Pierre Kornprobst, Jean-Charles R?gin and Aur?lie Calabr?se from Inria/Universit? C?te d'Azur), and one international expert in low-vision for your 6-month secondment (Gordon E. Legge; University of Minnesota). You will also benefit from the participation of a private partner interested in natural language production (MantuLab Amaris Research Unit in Sophia Antipolis). Overall, this project will foster promising perspectives for your career, notably in the fields of natural language processing and AI, which are highly demanded in academia and industry. Ph.D. program : This Ph.D. has been selected in the BoostUrCAreer program from Universit? C?te d'Azur, a multidisciplinary doctoral program in e-health supported by the European Union?s Horizon 2020 program and the Conseil Region Sud-Provence-Alpes-C?te d?Azur. This program provides unique working conditions such as an attractive salary and travel and mobility allowances. To learn more * about the subject or the Biovision Lab, please contact us at [ mailto:biovision.apply at inria.fr | biovision.apply at inria.fr ] or visit our website: [ https://team.inria.fr/biovision | https://team.inria.fr/biovision ] * about the BoostUrCAreer program, working condition and to submit your application, please visit: [ http://univ-cotedazur.fr/fr/recherche/boosturcareer#.Xk0jkhd7mOE | http://univ-cotedazur.fr/fr/recherche/boosturcareer#.Xk0jkhd7mOE ] (project acronym: AI4VI) -- Aur?lie Calabr?se, Ph.D. Research Associate @ Inria Sophia Antipolis - M?diterran?e - FRANCE 2004, route des Lucioles - BP 93 06902 Sophia Antipolis Cedex www.aureliecalabrese.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From JD.Lopes at hw.ac.uk Fri Feb 21 04:36:15 2020 From: JD.Lopes at hw.ac.uk (Aguas Lopes, Jose David) Date: Fri, 21 Feb 2020 09:36:15 +0000 Subject: Connectionists: First Call for Papers: SIGdial 2020 Special Session on Situated Dialogue with Virtual Agents and Robots (RoboDial 2.0) Message-ID: First Call for Papers: SIGdial 2020 Special Session on Situated Dialogue with Virtual Agents and Robots (RoboDial 2.0) SIGdial main conference submissions due March 6. Late-breaking, work-in-progress, and position papers due May 15. **Introduction** Recent technologies have brought conversational robots out of the lab and into the homes and workplaces of real users. Dialogue is now actively taking place between people and agents to operate, navigate, visualize, and interact in physical or virtual spaces. *Situated dialogue* distinguishes itself from other forms of dialogue in that it (1) takes place in an environment (real or simulated), (2) refers to the shared surroundings of interlocutors, and (3) involves an embodied agent (e.g., a robot or device). There is a growing need for bi-directional dialogue work to be showcased that supports the body of research on language grounding, vision and language, as well as dialogue that will allow situated agents, like robots, to ask for clarification and provide updates on their internal states. Our objectives in this special session are to showcase recent and ongoing work on situated dialogue, and to identify paths forward in this space from research across communities including dialogue, robotics, virtual agents, computer vision, NLP, and AI. The special session will feature oral presentations and a poster session. We welcome submissions on any topic related to situated dialogue, including but not limited to: * Interaction studies with smart-home devices and virtual agents * Learning from demonstration through natural language dialogue * Explainable AI in physical and virtual spaces * Representations of physical surroundings / world modeling to support grounded communication * Embodied visual question answering and/or generation * Empirical studies of human-robot dialogue (Wizard-of-Oz based, simulated, or semi-autonomous) * Computational models of dialogue management and/or turn-taking with physical or virtual agents * Methods of building or leveraging common ground with physical agents in real-world or simulated environments * Corpora of situated dialogue (Wizard-of-Oz based, simulated, or semi-autonomous) * Corpus analysis of situated dialogue * Multimodal information processing to support dialogue (including speech, gaze, gesture) * Physical embodiment, voice, or personification of robots and its effect on human-robot dialogue * Communicating feedback from robots using affordances in addition to speech * Machine learning methods for embodied dialogue systems * Dialogue-based collaborative human-robot interaction * Spoken language generation for situated dialogue * Spoken language / speech processing technologies to support situated dialogue **Call for Papers** Researchers may choose to submit: * *Long papers and short papers* will present original research and go through the same peer review process by the SIGdial program committee as papers submitted to the main SIGdial track. These papers will appear in the main SIGdial proceedings and are presented with the main track. Long papers must be no longer than eight pages, including title, text, figures and tables, along with two additional pages for example discourses or dialogues and algorithms, and an extra page is allowed in the final version to address reviewers' comments. Short papers should be no longer than four pages including title, text, figures and tables, along with one additional page for example discourses or dialogues and algorithms, and an extra page is allowed in the final version to address reviewers' comments. An unlimited number of pages are allowed for references. * *Late-breaking and work-in-progress papers* will showcase ongoing work and focused, relevant contributions. Submissions need not present original work. Late-breaking and work-in-progress papers should be no longer than four pages including title, text, figures and tables, and references. These will be reviewed by the special session organizers and posted on the special session website. These papers will be presented as lightning talks or posters during the session. Authors will retain the copyright to their work so that they may submit to other venues as their work matures. * *Position papers* will give voice to authors who wish to take a position on a topic listed above or the field of spoken, situated dialogue on robots at large. Submissions need not present original work. These will be reviewed by the special session organizers and posted on the special session website. These papers will be presented as lightning talks or posters during the session. Authors will retain the copyright to their work so that they may submit to other venues. Important Dates **Long and short paper submission deadline: March 6** To submit a long or short paper, please go to the SIGdial 2020 START page (https://www.softconf.com/l/sigdial2020/). When submitting, indicate ?Special Session Paper (RoboDial 2.0)? under the ?Submission Type? category. All long and short submissions must follow the SIGdial 2020 format. **Late-breaking and work-in-progress paper deadline: May 15** To submit a late-breaking or work-in-progress paper, please email a 2-4 page PDF (including references) formatted using the SIGdial 2020 format guidelines, to: robodial at googlegroups.com by May 15. You will receive a confirmation of your submission and notification before the Early Bird Registration deadline. **Position paper deadline: May 15** To submit a position paper, please email a 4-6 page PDF (including references) formatted using the SIGdial 2020 format guidelines, to: robodial at googlegroups.com by May 15. You will receive a confirmation of your submission and notification before the Early Bird Registration deadline. **List of Organizers** * Jose David Lopes, Heriot Watt University * Stephanie Lukin, Army Research Lab * Matthew Marge, Army Research Lab * Vikram Ramanarayanan, Educational Testing Service * Matthias Scheutz, Tufts University * Casey Kennington, Boise State University * Cynthia Matuszek, University of Maryland, Baltimore County Contact: robodial at googlegroups.com **Website** For more information and updates please check the special session website at https://robodial.github.io ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system. -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.madden at nuigalway.ie Fri Feb 21 05:52:50 2020 From: michael.madden at nuigalway.ie (Madden, Michael) Date: Fri, 21 Feb 2020 10:52:50 +0000 Subject: Connectionists: Job opportunities: three permanent faculty in computer science areas including machine learning, AI, data analytics Message-ID: Dear colleagues, I would appreciate it if you would share this email with those whom you think might be a good fit. In the National University of Ireland Galway (which is ranked in the top 1% of universities in the world), we are recruiting 3 full-time permanent faculty positions (REF: 008890), the School of Computer Science. The closing date of 20th March 2020. These positions are at Lecturer Below the Bar and Lecturer Above the Bar levels, based on experience. These are permanent faculty positions involving research and teaching, roughly similar to tenured assistant professor grades in North America. Further details regarding the criteria and application process are available at: http://www.cs.nuigalway.ie/engineering-informatics/information-technology/people/vacancies/. We invites applications from candidates from any branch of Computer Science but particularly from those with expertise in artificial intelligence & machine learning, as well as others such as cloud computing; cybersecurity; computer forensics; devops or software engineering. Applications must be made via the university's Academic Vacancies site: https://www.nuigalway.ie/about-us/jobs/ Thank you, Michael. -- Professor Michael Madden Head of School of Computer Science www.cs.nuigalway.ie Head of Machine Learning & Data Mining Research Group http://datamining.it.nuigalway.ie/ +353-91-49-3797 (O) / +353-86-795-2802 (M) -------------- next part -------------- An HTML attachment was scrubbed... URL: From julien.vitay at informatik.tu-chemnitz.de Fri Feb 21 08:04:32 2020 From: julien.vitay at informatik.tu-chemnitz.de (Julien Vitay) Date: Fri, 21 Feb 2020 14:04:32 +0100 Subject: Connectionists: Postdoc fellowship in parallel computing and neural simulation at Chemnitz University of Technology Message-ID: Apologies for cross-posting ******************************* A PostDoc position is available at Chemnitz University of Technology in the Department of Computer Science within the Professorship of Artificial Intelligence. He or she should have a Ph.D. in computer science or related fields. Exceptionally, we can also consider Ph.D. candidates in case of extremely good qualifications. The candidate is expected to contribute to research in auto-tuning mechanisms on different hardware platforms to implement biologically inspired neural networks. Thus, a very good experience in parallel computing is absolutely required. Further, the candidate should have an interest in computational neuroscience, particularly at the implementation level of large-scale neural networks. Prior experience with neural simulation tools, e.g. ANNarchy (Vitay, Dinkelbach, Hamker, 2015), NEST or Brian, is advantageous. Good English language skills are necessary. German is initially not required. Funding is obtained from a research project ?Auto-tuning for neural simulations on different parallel hardware" from the German research foundation (DFG), coordinated by Dr. Vitay and Prof. Dr. Hamker. The salary is according to German standards (E 13 TV-L). An association with the CRC 1410 Hybrid Societies (https://www.tu-chemnitz.de/hybrid-societies/) is conceivable. The position is initially until 30.06.2021, but extensions are possible. The starting date is May 2020 or soon thereafter. Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture. Applications should be sent by email (preferably in PDF format) to ( fred.hamker at informatik.tu-chemnitz.de). The deadline is on 15.03.2020, but applications will be considered until the position is filled. In addition to a CV, the candidate should provide a detailed description of his/her experience in parallel computing. References: Vitay, J., Dinkelbach, H. U., Hamker, F. H. (2015), ANNarchy: a code generation approach to neural simulations on parallel hardware, Frontiers in Neuroinformatics , 9, 19, doi:10.3389/fninf.2015.00019 -- Professur K?nstliche Intelligenz Fakult?t f?r Informatik Technische Universit?t Chemnitz Stra?e der Nationen 62 | R. 1/348 (neu: A12.348) 09111 Chemnitz Germany Tel: +49 371 531-39468 Fax: +49 371 531-839468 www.tu-chemnitz.de/~vitay -------------- next part -------------- An HTML attachment was scrubbed... URL: From rui.costa at bristol.ac.uk Sat Feb 22 12:32:22 2020 From: rui.costa at bristol.ac.uk (Rui Ponte Costa) Date: Sat, 22 Feb 2020 17:32:22 +0000 Subject: Connectionists: PhD positions in Interactive AI CDT Message-ID: <9B0BA89E-D723-4266-B893-C8F9C5149B8B@bristol.ac.uk> We are looking to recruit PhD students for our unique EPSRC-funded Centre for Doctoral Training in Interactive Artificial Intelligence at the University of Bristol, UK. The IAI Centre in a nutshell Building on Bristol?s world-leading expertise in AI, machine learning, neuroscience and human-computer interaction, the Centre for Doctoral Training in Interactive Artificial Intelligence offers PhD studentships that will train you to become a leader in human-in-the-loop and interpretable AI systems. This unique Centre is based in the School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics. Its mission is to deliver cohorts of highly-trained PhD graduates with the skills to design and implement complex interactive AI pipelines solving societally and scientific important problems. After the taught first year, covering foundational topics in data-driven AI, knowledge-driven AI, human-AI interaction and responsible AI, you will undertake a 3-year research project, supervised by one of the 60 academics in the supervisory network and in close collaboration with one or more external partners. The Centre partners with a wide range of external organisations including Alan Turing Institute, Microsoft Research, Amazon Research, Dyson, Thales, and many others. How to apply Applicants must hold/achieve a minimum of an upper-second class honours degree in a relevant discipline (e.g., computer science, engineering, mathematics, statistics). Enhanced EPSRC studentships covering fees and living costs are available to UK / EU students (EU citizens are eligible if they have lived in the UK for at least 3 years; a small percentage of positions can also be considered for non-UK/EU candidates). For full details, contact information and on-line applications, navigate to www.bristol.ac.uk/cdt/interactive-ai. Deadline: 2nd March 2020, 00:00 (GMT) For admission enquires please contact iai-cdt-admissions at bristol.ac.uk. For more informal inquires feel free to contact academics affiliated with the program. Best wishes, Bristol Computational Neuroscience Unit SCEEM | Faculty of Engineering & Bristol Neuroscience, University of Bristol, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From morency at cs.cmu.edu Fri Feb 21 16:59:36 2020 From: morency at cs.cmu.edu (Louis-Philippe Morency) Date: Fri, 21 Feb 2020 21:59:36 +0000 Subject: Connectionists: Grand-Challenge on Multimodal Language (ACL 2020 Challenge-HML) Message-ID: <6b81f55b20064ea4a51ac90c126c8c03@cs.cmu.edu> 2nd Grand-Challenge and Workshop on Multimodal Language (Challenge-HML) Co-located with ACL 2020, Seattle, USA Website: http://multicomp.cs.cmu.edu/acl2020multimodalworkshop/ Keynotes: * Rada Mihalcea - University of Michigan * Ruslan Salakhutdinov - Carnegie Mellon University * M. Ehsan Hoque - University of Rochester * Yejin Choi - University of Washington Important Dates: * Paper Deadline: April 25th (Workshop) and May 1st (Grand-Challenge) * Grand challenge test data release: Feb 15th * Notification of Acceptance: May 9th * Camera-ready: May 21st Supported by: * National Science Foundation (NSF) * Intel ================================================================= The ACL 2020 Second Grand-Challenge and Workshop on Multimodal Language (ACL 2020) offers a unique opportunity for interdisciplinary researchers to study and model interactions between modalities of language, vision, and acoustic. Modeling multimodal language is a growing research area in NLP. This research area pushes the boundaries of multimodal learning and requires advanced neural modeling of all three constituent modalities. Advances in this research area allow the field of NLP to take the leap towards better generalization to real-world communication (as opposed to limitation to textual applications), and better downstream performance in Conversational AI, Virtual Reality, Robotics, HCI, Healthcare, and Education. There are two tracks for submission: Grand-challenge and Workshop (workshop allows archival and non-archival submissions). Grand-Challenge is focused on multimodal sentiment and emotion recognition on CMU-MOSEI (grand-prize of >$1k in value for the winner) and MELD dataset. The workshop accepts publications in the below listed research areas. Archival track will be published in ACL workshop proceedings and non-archival track will be only presented during the workshop (but not published in proceedings). We invite researchers from NLP, Computer Vision, Speech Processing, Robotics, HCI, and Affective Computing to submit their papers. * Neural Modeling of Multimodal Language * Multimodal Dialogue Modeling and Generation * Multimodal Sentiment Analysis and Emotion Recognition * Language, Vision, and Speech * Multimodal Artificial Social Intelligence Modeling * Multimodal Commonsense Reasoning * Multimodal RL and Control * Multimodal Healthcare * Multimodal Educational Systems * Multimodal Affective Computing * Multimodal Robot/Computer Interaction * Multimodal and Multimedia Resources * Creative Applications of Multimodal Learning in E-commerce, Art, and other Impactful Areas. We accept the following types of submissions: * Grand challenge papers: 6-8 pages, unlimited number of pages for references. * Workshop papers: 6-8 (long) or 4 (short) pages, unlimited number of pages for references. Workshop Organizers: * Amir Zadeh (Language Technologies Institute, Carnegie Mellon University) * Louis-Philippe Morency (Language Technologies Institute, Carnegie Mellon University) * Paul Pu Liang (Machine Learning Department, Carnegie Mellon University) * Soujanya Poria (Singapore University of Technology and Design) -------------- next part -------------- An HTML attachment was scrubbed... URL: From huajin.tang at gmail.com Sun Feb 23 05:11:26 2020 From: huajin.tang at gmail.com (Huajin Tang) Date: Sun, 23 Feb 2020 18:11:26 +0800 Subject: Connectionists: Call for Papers: Explainable Artificial Intelligence and Neuroscience: Cross-disciplinary Perspectives Message-ID: Explainable Artificial Intelligence and Neuroscience: Cross-disciplinary Perspectives *CALL FOR PAPERS* In this Frontiers Research Topic, we bring together neuroscientists and AI researchers to consider the problem of explainable AI. Though deep learning is the main pillar of current AI techniques and is ubiquitous in basic science and real-world applications, it is also flagged by AI researchers for its black-box problem: it is easy to fool, and it also cannot explain how it makes a prediction or decision. Therefore, the significance of creating transparent, explainable AI, should not be underestimated. In particular, we are interested in leveraging insights from neurobiology that might be useful for novel approaches in AI, and techniques for analyzing artificial neural networks that might be applied, in turn, to neuroscience. *Participating Journals* Manuscripts can be submitted to this Research Topic via the following journals: Frontiers in Artificial Intelligence; Frontiers in Neurorobotics; Frontiers in Big Data. *Papers Submission * Papers submission will be handled through our research topic page: https://www.frontiersin.org/research-topics/11553/explainable-artificial-intelligence Submission Deadline? 31 May 2020 *Topic Editors* *James Leland Olds, *George Mason University, United States *Jeffrey L Krichmar, *University of California, Irvine? United States *Huajin Tang, *Zhejiang University, Hangzhou, China *Juan V. Sanchez-Andres, *University of JaumeI, Castell? de La Plana, Spain -- Professor College of Computer Science and Technology Zhejiang Univeristy, Hangzhou 310027, China E-mail: htang at zju.edu.cn -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas_serre at brown.edu Sun Feb 23 10:51:25 2020 From: thomas_serre at brown.edu (Serre, Thomas) Date: Sun, 23 Feb 2020 10:51:25 -0500 Subject: Connectionists: Postdoc position in BCI and deep learning, Serre Lab, Brown University Message-ID: Postdoc position in BCI and deep learning Serre Lab, Brown University The Serre lab has an opening for a postdoctoral fellow to focus on the development of neuroscience-inspired deep-network algorithms towards the design of an intelligent spinal interface. In collaboration with other researchers at Brown, surgeons from Rhode Island Hospital and private partners, we will develop and test a device aimed at bridging the gap in neural circuitry created by spinal cord injury, in the hope of restoring muscle control and sensation. The postdoc will be responsible for overseeing the development of an AI-based interface working with other members of the Serre lab and collaborators at Intel. The successful candidate will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. The fellow will be located in a new state-of-the-art facility within the Carney Institute for Brain Science and embedded within the (soon to be launched) Carney Center for Computational Brain Science. We also expect synergies with the Data Science Initiative co-located within the same building. Press release about the Intelligent Spine Interface project: https://www.brown.edu/news/2019-10-03/isi More information about the Serre lab: https://serre-lab.clps.brown.edu More information about the Carney Institute for Brain Science: https://www.brown.edu/carney ** Requirements ** Candidates must have a strong background in computational neuroscience and/or machine learning, with a track record of relevant publications at top machine learning venues (e.g., NeurIPS, ICML, ICLR, etc.) and/or neuroscience journals. Excellent Python programming skills and Tensorflow and/or Pytorch experience are required. ** Application ** Please send your application to thomas_serre at brown.edu with the subject line "postdoc position." Please include: -- a brief statement of interests -- a curriculum vitae -- a list of publications -- an anticipated start date -- the name of 2-3 reference writers (no letter needed at this stage). There is no deadline for the application, but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found. ** About the Carney Institute for Brain Science and the (soon to open) Center for Computational Brain Science ** The Carney Institute for Brain Science at Brown University advances multidisciplinary research, technology development, and training in the brain sciences and works to establish Brown University as an internationally recognized leader in brain research. The institute was just endowed with a recent $100 million gift. Carney unites more than 100 faculty members from a diverse group of departments at Brown, spanning basic and clinical departments, and physical and biological sciences. Carney provides a mechanism to advance interdisciplinary research efforts among this broad group. The Center for Computational Brain Science (CCBS) will be an energetic and enthusiastic effort that fosters synergistic collaborations across Brown departments. Groups affiliated with the center will work on two core levels of computation. The first level focuses on theoretical neuroscience, including computational perception, control over action and learning, and fundamental questions in neuronal networks (synaptic plasticity, circuits, networks, oscillations). The second level focuses on applications and neurotechnology, including brain-machine interfaces, advanced neural data analysis, computer vision, computational psychiatry, and robotics. CCBS will include nearly two dozens core computational faculty spanning six departments, and many more faculty who incorporate computation for theory development, analysis, or both. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vinxlemons at gmail.com Mon Feb 24 04:25:42 2020 From: vinxlemons at gmail.com (Vincenzo Lomonaco) Date: Mon, 24 Feb 2020 10:25:42 +0100 Subject: Connectionists: [CFP] Continual Learning Challenge @ CVPR 2020 is open! Message-ID: Dear all, We are excited to announce the opening of the challenge on "*Continual Learning for Computer Vision*" in the context of the *CLVision workshop at CVPR 2020*! *3 different tracks*, more than *2,300$* in prizes and a starting repository with all the necessary to start without any effort! *You are all invited to partecipate!* *Important Links* - Challenge Official Webpage - Codalab Evaluation Platform - GitHub Starting Repository *Important Dates* - Beginning of the pre-selection phase (release of data and baselines): 15th Feb 2020 - *Scoreboard opening for submissions: 27th Feb 2020* - Pre-selection phase ends: 1st May 2020 - Paper submission starts: 2st May 2020 - Paper submission ends: 8st May 2020 - Final evaluation starts: 9st May 2020 - Final ranking is published: 20th May 2019 *CLVision Workshop Organizers* - Pau Rodriguez, Element AI. - German Parisi, University of Hamburg. - David Vazquez, Element AI. - Vincenzo Lomonaco, University of Bologna. - Nikhil Churamani, University of Cambridge. - Zhiyuan (Brett) Chen, Google. - Marc Pickett, Google Research. *Challenge Chairs* - Giulia Pasquale, Istituto Italiano di Tecnologia - Qi (Roger) She, Intel AI Labs - Issam Laradji, University of British Columbia - Massimo Caccia, University of British Columbia *Cordiali Saluti,* *Vincenzo * -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Mon Feb 24 03:44:05 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Mon, 24 Feb 2020 09:44:05 +0100 Subject: Connectionists: Call for Papers - ICPR2020 workshop on "Machine Learning Advances Environmental Science (MAES)" Message-ID: <2105a4c5-b4f9-add4-dd88-f80f9c41959a@unifi.it> ???????????? Call for Papers - M A E S @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, September 13-18, 2020 ???? >>> https://sites.google.com/view/maes-icpr2020/ <<< __________________________________________________________________ ?=== Important Dates === ?? June 15th 2020 - workshop submission deadline ?? July 15th 2020 - author notification ?? July 30th 2020 - camera-ready submission ?August 15th 2020 - finalized workshop program ?=== 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 unravelling 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 the 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/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.Qiu-1 at tudelft.nl Mon Feb 24 04:52:44 2020 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Mon, 24 Feb 2020 09:52:44 +0000 Subject: Connectionists: ACM Hypertext 2020: Second Call for Contributions Message-ID: <4966A4DB-8B5E-4A92-9EC6-1A810A3FAD73@tudelft.nl> * We apologize for cross-posting * ACM HYPERTEXT 2020 ? HT2020 FOR SOCIAL GOOD 31st ACM Conference on Hypertext and Social Media (HT?20) July 13-15 2020 | Orlando, Florida, USA ############# CALL FOR PAPERS ############# Twitter: @ACMHT ? https://twitter.com/ACMHT Conference Site: http://ht.acm.org/ht2020 Hashtag: #ACMHT2020 Submit Online via EasyChair: https://easychair.org/conferences/?conf=ht2020 ------------------------------ IMPORTANT DATES ------------------------------ March 13 ? Paper deadline March 20 ? Papers assigned for review April 17 ? Review deadline April 24 ? Discussion deadline May 1 ? Paper notifications May 22 ? SIGWEB travel award deadline May 29th ? Camera ready deadline ----------------------- CONFERENCE SCOPE ----------------------- The ACM Hypertext conference is a premium venue for high quality peer-reviewed research on hypertext theory, systems and applications. It is concerned with all aspects of modern hypertext research including social media, semantic web, dynamic and computed hypertext and hypermedia as well as narrative systems and applications. The theme of Hypertext 2020 is ?HYPERTEXT for Social Good?. This motto of the 31st ACM Hypertext conference goes hand in hand with the growing importance of ensuring technological inventions and innovations have a positive impact on the users, as well as the society at large. We are particularly interested in work that is timely, activist, or community-centered. Hypertext 2019 turned some important stones to reunify different hypertext research directions and communities. Hypertext 2020 will proudly carry forward this aim. Hypertext 2020 will therefore consist of 4 different tracks that broadly appeal to interdisciplinary challenges. In addition to this, HT2020 will also host a Doctoral Consortium, and a Blue Sky Ideas track to facilitate the presentation and discussion of grand visions for the future of Hypertext systems. This is a perfect time to join in, reflect our common roots, and discuss how we can jointly address our current and future challenges. Hypertext 2020 is co-locating with the Electronic Literature Conference (ELO?20) organized in Orlando, Florida between July 13-15. The conference will take place at the downtown University of Central Florida campus, with hotel accommodations available next door to the conference venues. ----------------------- ORGANIZATION ----------------------- General Chairs: ? Anastasia Salter, University of Central Florida (@AnaSalter ? https://twitter.com/AnaSalter) ? John Barber, Washington State University Program Chair: ? Ujwal Gadiraju, Leibniz University of Hannover, DE (@UjLaw ? https://twitter.com/ujlaw) Local Arrangements Chair: ? Mel Stanfill, University of Central Florida (@melstanfill ? https://twitter.com/melstanfill) Publicity Co-Chairs: ? Bonnie Cross, University of Central Florida, USA (@bonniercross ? https://twitter.com/bonniercross) ? Sihang Qiu, Delft University of Technology, NL (@qiusihang ? https://twitter.com/qiusihang) Web Chair: ? Mike Shier, University of Central Florida, USA Proceedings Chair: ? John Murray, University of Central Florida (@lucidbard https://twitter.com/lucidbard) ---------------------------------------------- SUBMISSION CATEGORIES AND DEADLINES ---------------------------------------------- Papers must report new results substantiated by experimentation, simulation, analysis, or application. Authors are invited to submit papers presenting original, not previously published works. Art and creative work is also welcome as part of the exhibition/creative track. Submission categories include: SUBMISSION DEADLINE ?REGULAR?: 13 March 2020 ? Regular research papers (max 10 pages) discussing mature work. ? Short papers (max 5 pages) describing preliminary results of on-going work or novel thought-provoking ideas ? Doctoral consortium submissions (max 4 pages + CV) describing the work of the graduate student and a CV in order to provide some background information about the graduate student SUBMISSION DEADLINE ?LATE BREAKING/DEMOS/EXHIBITION?: 13 April 2019 ? Late breaking (max 2 pages, presented as poster) presenting innovative research ideas, or preliminary results. ? Demos (max 2 pages) presenting system prototypes or industry showcases. ? Exhibition or creative track submissions (max 2 pages) describing the proposed exhibition or creative work. Creative work is particularly encouraged to be web-based and engage with the theme of ?Changing Climates,? a call to engage the impact of hypertext and the responsibility of web creators and researchers in a time of climate change. Participants are welcome to submit creative work in absentia if coming from a country that currently makes travel unfeasible, in consultation with the chairs. Accepted submissions will appear in the Hypertext 2020 Conference Proceedings that will be published by ACM via the ACM Digital Library. Submissions should follow the ACM SIGCONF version of the master template and be anonymized for peer review. ---------------------------------------------- CONFERENCE MAIN TRACKS ---------------------------------------------- ### Hypertext Infrastructures and User Interfaces ### * Hypertext structure domains (e.g., node-link structures, spatial hypertext, taxonomic hypertext, argumentation structures) * Interaction devices used in combination with hypertext systems (e.g., VR glasses, smart whiteboards, mobile devices) * Interacting with hypertext * Visual analytics and hypertext * Data visualization and navigation * Conversational User Interfaces * Social Media Systems and Tools ### Hypertext Literature, Games, and Digital Humanities ### * Hyperfiction and storytelling * Gaming and gamification * Automated analysis of narratives * Automated story or (semantic) link generation * Hypertext and digital humanities * Digital journalism and citizen/collaborative news * Electronic literature * Hypermedia authoring * Interactive fiction and storytelling * Intelligent narratives * Theory of hypertext narratives * Hypertext and communication theory ### Web and Society ### * Fairness, Accountability, Transparency, Ethics in Web Search * Security, Privacy, & Trust * Bias in Web Search * Search as Learning * Computational Social Science * Human Computation & Crowdsourcing * Urban Data Science * Smart Cities * Health and Well-being Online * Affective Computing & Personal Health * Humanities, Arts, & Culture on the Web * Behavioral Monitoring & Change * Web Mining & Content Analysis ### Social Media Analysis & Recommender Systems ### * User Modeling & Personalization * Social Network Analysis * Credibility of Social Media Content * Opinion Mining * Bias, Filter Bubbles and Ethics of Personalized Services * Personalization and Recommendation for Social Good * Explainable Methods for Recommender Systems * Explainable Methods for Personalization * User Experience & Engagement * Preference Elicitation * Algorithmic Scalability & Performance * Conversational Recommender Systems ----------------------- BLUE SKY IDEAS TRACK ----------------------- The emphasis of this track is on visionary ideas, long-term challenges, and new research opportunities. This track is designed to overcome the constraints of the traditional review process, and will serve as an incubator for innovative approaches, risky and provocative ideas, and to propose challenges and opportunities in the near future. Submissions to this track are limited to a maximum of 4 pages. ----------------------- DOCTORAL CONSORTIUM ----------------------- PhD students (or in specific cases Master students) are encouraged to submit their ongoing research related to the broad scope of HT 2020. The goal of the Doctoral Consortium is to provide PhD students at different stages of their candidature, with an adequate platform to showcase their research, goals and receive feedback on their ongoing research. Students can use this opportunity within a dedicated session at the HT 2020 conference, to receive guidance on various aspects of their research from established researchers and other PhD students working in research areas related to the broad scope of HT 2020. From suashdeb at gmail.com Mon Feb 24 05:21:51 2020 From: suashdeb at gmail.com (Suash Deb) Date: Mon, 24 Feb 2020 15:51:51 +0530 Subject: Connectionists: 2020 ISCMI (Stockholm, IEEE Sweden Section, IEEE Comput Intel Society & IFSA technical cosponsors) Message-ID: Dear esteemed colleagues, Warm greetings from India. Hope all is well. This is about lSCMl, the annual flagship event of llCCl http://www.iicci.in/ The same is held annually (w.e.f. 2017) in memory of life & work of Prof. Lotfi Zadeh *2020* *ISCMI *would be held in *Stockholm, Sweden (14th-15th Nov, 2020) * http://iscmi.us/index.html *IEEE Sweden Section, IEEE Computational Intelligence Society & **IFSA* are the *technical co sponsors* for the same. A leaflet of the same is attached. Apart from the *lEEE published proceedings & uploading of the same at Xplore,* scope of a selected subset of papers for being considered for publications at the *NCAA journal *(a Springer publication https://www.springer.com/journal/521) also exist. You are warmly invited to submit your research findings for this conference. Hope to welcome many of you in Stockholm this year. Thanks so much & kind rgds, Suash (Prof. Suash Deb) General Chair, ISCMI20 (Stockholm, Sweden) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ISCMI2020-leaflet.pdf Type: application/pdf Size: 2976876 bytes Desc: not available URL: From bogdanlapi at gmail.com Mon Feb 24 06:24:45 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Mon, 24 Feb 2020 13:24:45 +0200 Subject: Connectionists: 2nd Call-for-Participation & devset release: ImageCLEF 2020 Tasks Message-ID: [Apologies for multiple postings] ImageCLEF 2020 Multimedia Retrieval in CLEF http://www.imageclef.org/2020/ https://www.facebook.com/ImageClef/ https://twitter.com/imageclef/ *** CALL FOR PARTICIPATION *** ImageCLEF 2020 is an evaluation campaign that is being organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs. The campaign offers several research tasks that welcome participation from teams around the world. The results of the campaign appear in the working notes proceedings, published by CEUR Workshop Proceedings (CEUR-WS.org) and are presented in the CLEF conference. Selected contributions among the participants will be invited for submission to a special section "Best of CLEF'20 Labs" in the Springer Lecture Notes in Computer Science (LNCS) of CLEF'21, together with the annual lab overviews. Target communities involve (but are not limited to): - information retrieval (text, vision, audio, multimedia, social media, sensor data, etc.) - machine learning, deep learning - data mining - natural language processing - image and video processing - computer vision with special attention to the challenges of multi-modality, multi-linguality, and interactive search. *** 2020 TASKS *** *ImageCLEFlifelog* (4th edition) https://www.imageclef.org/2020/lifelog An increasingly wide range of personal devices that allow capturing pictures, videos, and audio clips for every moment of our lives, are becoming available. In this context, the task addresses the problems of lifelogging data retrieval and summarization. Organizers: Duc-Tien Dang-Nguyen (University of Bergen), Van-Tu Ninh, Tu-Khiem Le, Liting Zhou & Cathal Gurrin (Dubin City University), Luca Piras (Pluribus One & University of Cagliari), Michael Riegler & P?l Halvorsen (SimulaMet), Minh-Triet Tran (University of Science), Mathias Lux (Klagenfurt University). *ImageCLEFcoral* (2nd edition) https://www.imageclef.org/2020/coral The increasing use of structure-from-motion photogrammetry for modelling large-scale environments from action cameras has driven the next generation of visualization techniques. The task addresses the problem of automatically segmenting and labeling a collection of images that can be used in combination to create 3D models for the monitoring of coral reefs. Organizers: Jon Chamberlain, Adrian Clark & Alba Garc?a Seco de Herrera (University of Essex), Antonio Campello (Wellcome Trust). *ImageCLEFmedical* (2nd edition) https://www.imageclef.org/2020/medical Medical images can be used in a variety of scenarios and this task will combine the most popular medical tasks of ImageCLEF and continue the last year idea of combining various applications, namely: automatic image captioning and scene understanding, medical visual question answering and decision support on tuberculosis. This allows to explore synergies between the tasks. Organizers: Asma Ben Abacha & Dina Demner-Fushman (National Library of Medicine), Sadid A. Hasan (CVS Health), Vivek Datla & Joey Liu (Philips Research Cambridge), Obioma Pelka & Christoph M. Friedrich (University of Applied Sciences and Arts Dortmund), Alba Garc?a Seco de Herrera (University of Essex), Yashin Dicente Cid (University of Warwick), Serge Kozlovski, Vitali Liauchuk & Vassili Kovalev (United Institute of Informatics Problems), Henning M?ller (HES-SO). *ImageCLEFdrawnUI2020* (new) https://www.imageclef.org/2020/drawnui Enabling people to create websites by drawing them on a piece of paper can make the webpage building process more accessible. The task addresses the problem of automatically recognizing hand drawn objects representing website UIs, that will be further translated into automatic website code. Organizers: Paul Brie & Fichou Dimitri (teleportHQ), Mihai Dogariu, Liviu Daniel Stefan, Mihai Gabriel Constantin & Bogdan Ionescu (University Politehnica of Bucharest). *** IMPORTANT DATES *** (may vary depending on the task) - Task registration opens: December 20, 2019 - CLEF long and short paper submission: April 27, 2020 - Run submission: May 11, 2020 - Working notes submission: May 25, 2020 - CLEF 2020 conference: September 22-25, Thessaloniki, Greece *** OVERALL COORDINATION *** Bogdan Ionescu, University Politehnica of Bucharest, Romania Henning M?ller, HES-SO, Sierre, Switzerland Renaud P?teri, University of La Rochelle, France From lpandolfo at uniss.it Tue Feb 25 11:15:17 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Tue, 25 Feb 2020 17:15:17 +0100 Subject: Connectionists: Call for Workshop Proposal - 36th International Conference on Logic Programming (ICLP2020) Message-ID: <9b5455f2-a317-91e6-7292-358f1a11e45c@uniss.it> *** CALL FOR WORKSHOP PROPOSALS *** ICLP 2020 36th International Conference on Logic Programming September 18 - September 24, 2020 University of Calabria, Rende, Italy https://iclp2020.unical.it ICLP 2020, the 36th International Conference on Logic Programming, will be held at the University of Calabria, Rende, Italy, from September 18 to September 24, 2020. The ICLP conference series has a long standing tradition of hosting a rich set of co-located workshops. ICLP workshops provide a unique opportunity for the presentation and discussion of work that can be preliminary in nature, novel ideas, and new open problems to a wide and interested audience. Co-located workshops also provide an opportunity for presenting specialized topics and opportunities for intensive discussions and project collaboration. The topics of the workshops co-located with ICLP 2020 can cover any areas related to logic programming (e.g., theory, implementation, environments, language issues, alternative paradigms, applications), including cross-disciplinary areas. However, any relevant workshop proposal will be considered. The format of the workshop will be decided by the workshop organizers, but ample time should be allowed for general discussion. Workshops can vary in length, but the optimal duration will be half a day or a full day. Workshop Proposal: ================== Those interested in organizing a workshop at ICLP 2020 are invited to submit a workshop proposal. Proposals should be in English and about two pages in length. They should contain: * The title of the workshop. * A brief technical description of the topics covered by the workshop. * A discussion of the timeliness and relevance of the workshop. * A list of some related workshops held in the last years. * The estimated length of the workshop and an estimate of the number of expected attendees. * The names, affiliation and contact details (email, web page, phone) of the workshop organizers together with a designated contact person. * Previous experience of the workshop organizers in workshop/conference organization. Proposals are expected in text or PDF format. All proposals should be submitted to the Workshop Chair by email by April 13, 2020. Reviewing Process: ================== Each submitted proposal will be reviewed by the Workshop, Program and General Chairs. Proposals that appear well-organized and that fit the goals and scope of ICLP will be selected. The decision will be notified by email to the responsible organizer by April 27, 2020. The definitive length of the workshop will be planned according to the number of submissions received by the different workshops. For every accepted workshop, the ICLP local organizers will prepare a meeting room. The workshops and the conference organizers will collaborate in establishing a uniform approach to produce proficient and accessible proceedings for the workshops. Workshop Organizers' Tasks: =========================== * Producing a "Call for Papers" for the workshop and posting it on the Internet and other means. A web page URL should be provided by May 25, 2020, and will be published on the ICLP 2020 home page. * Providing a brief description of the workshop for the conference program. * Reviewing/accepting submitted papers. * Scheduling workshop activities in collaboration with the local organizers and the Workshop Chair. * Providing a workshop program in a format specified by the conference organizers for posting by August 31, 2020. * Coordinating the preparation of the workshop proceedings according to the specifications provided by the Workshop Chair. Location: ========= Workshops will be collocated with ICLP 2020 at the University of Calabria, Rende, Italy. See the ICLP 2020 web site (https://iclp2020.unical.it/) for location details. Important Dates (Tentative): ============================ April 13, 2020:Proposal submission deadline April 27, 2020:Notification May 25, 2020:Deadline for receipt of CfP and workshop web page URL August 18, 2020: Deadline for acceptance notification of paper authors August 31, 2020: Deadline for workshop program Submissions: ============ Please submit your workshop proposals by email to the Workshop Chair. Workshop Chair: =============== Martin Gebsermartin.gebser at aau.at -- -- *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 Mon Feb 24 06:55:50 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 24 Feb 2020 12:55:50 +0100 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: March 31 Message-ID: ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning An Interdisciplinary 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 https://acdl2020.icas.xyz acdl at icas.xyz 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/ ACDL 2018 & ACDL 2019 Sold-out! Probably also ACDL 2020 ;-) Early registration deadline: March 31, 2020 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: March 31, 2020 Deadlines: Oral/Poster Presentation Submission: March 31, 2020. Notification of Decision for Oral/Poster Presentation: by April 12, 2020. Early Registration: Until March 31, 2020. Late Registration: After March 31, 2020. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Michael Bronstein, Twitter & Imperial College London, UK * Marco Gori, University of Siena, Italy * Victor Lempitsky, Samsung AI Center, Moscow Skolkovo Institute of Science and Technology, Russia * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Risto Miikkulainen, University of Texas at Austin, USA * Panos Pardalos, University of Florida, USA * Daniela Rus, Computer Science and Artificial Intelligence Laboratory, MIT, USA * Mihaela van der Schaar, University of Cambridge, UK More speakers coming soon! 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" More tutorial speakers coming soon! 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/ We remind you that ACDL 2018 and ACDL 2019 sold out a long time before the registration deadline! 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 in Tuscany next July! ACDL 2020 Organizing Committee. acdl at icas.xyz https://acdl2020.icas.xyz https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From benjamin.lindner at physik.hu-berlin.de Mon Feb 24 11:09:23 2020 From: benjamin.lindner at physik.hu-berlin.de (Benjamin Lindner) Date: Mon, 24 Feb 2020 17:09:23 +0100 Subject: Connectionists: The Electrosensory Cocktail Party Problem - PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available Message-ID: *Weakly nonlinear interactions in an electrosensory cocktail party problem* Within the DFG priority program "Evolutionary Optimisation of Neuronal Processing", we are looking for a PhD candidate to work on the detection of weak signals in the presence of much stronger distractors, a joint project with the experimental lab of Jan Benda (University Tubingen, Germany). The 'cocktail party problem' is here regarded as a general theoretical problem and will be explored by the successful candidate by means of analytical calculations and numerical simulations of stochastic models of spiking neurons. Beyond pursuing purely theoretical approaches, the main goal of this project is to understand weakly nonlinear interactions specifically in the electrosensory system of weakly electric fish, an experimental model system of the Benda lab. In order to get an idea about similar approaches pursued in the past, have a look at some of the joint publications of the Benda lab and the Lindner group: Fisch et al.? J. Neurosci. 32, 17332 (2012) Sharafi et al.? J. Comp. Neurosci.? 34 , 285 (2013) Grewe et al.? PNAS 114 E1977 (2017) The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting within the next three months. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to me benjamin.lindner at physik.hu-berlin.de (cc to nikola.schrenk at bccn-berlin.de) The deadline for applications is March 25, 2020, however, later applications might also be considered. Kind regards, Benjamin Lindner -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html -------------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From jaakko.peltonen at aalto.fi Tue Feb 25 10:09:14 2020 From: jaakko.peltonen at aalto.fi (Peltonen Jaakko) Date: Tue, 25 Feb 2020 15:09:14 +0000 Subject: Connectionists: CFP: MLVis 2020: Machine Learning Methods in Visualisation Message-ID: <05cd6cead661406f8d1b4cea751fc2e4@aalto.fi> MLVis 2020: Machine Learning Methods in Visualisation - Call For Papers https://www.tuni.fi/mlvis2020/ MLVis 2020 will be a co-located workshop at EGEV2020 - Eurographics & EuroVis 2020 in Norrk?ping, Sweden. It aims to bring Machine Learning and Visualization researchers together in order to exchange research ideas. We solicit short papers on machine learning methods in visualisation, from both the machine learning and visualisation communities, addressing how the two technologies can be used together to provide greater insight to end users. Paper submissions for MLVis should be at most 4 pages in MLVis 2020 latex style (provided on the website), with an additional page allowed for references. Papers are to be submitted via the PCS system, link on the website. Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library. Selected papers may be invited to special issues, either in the Information Visualization journal or ACM Transactions on Interactive Intelligent Systems. Important Dates: Submission deadline: March 25, 2020 Notification deadline: April 20, 2020 Camera-ready deadline: April 27, 2020 Workshop: May 25, 2020 All submission deadlines are at 23:59 Anywhere on Earth on the date indicated. From jakobjordan at posteo.de Mon Feb 24 13:42:01 2020 From: jakobjordan at posteo.de (Jakob Jordan) Date: Mon, 24 Feb 2020 19:42:01 +0100 Subject: Connectionists: =?utf-8?q?13=E1=B5=97=CA=B0_Advanced_Scientific_P?= =?utf-8?q?rogramming_in_Python_in_Ghent=2C_Belgium=2C_31_August=E2=80=945?= =?utf-8?q?_September=2C_2020?= Message-ID: <41af9c83-3e4c-95eb-b044-cc962d2c53a0@posteo.de> 13?? Advanced Scientific Programming in Python ============================================== a Summer School by the ASPP faculty and the Ghent University https://aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project ? an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location =============== 31 August?5 September, 2020. Ghent, Belgium. Application =========== You can apply online: https://aspp.school/wiki/applications Application deadline: 23:59 UTC, Sunday 24 May, 2020 There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://aspp.school/wiki/faq Participation is for free, i.e. no fee is charged! Accommodation in the student residence comes at no costs for participants. We are trying to arrange financial coverage for food expenses too, but this may not work. Participants however should take care of travel expenses by themselves. Program ======= ? Version control with git and how to contribute to open source projects with GitHub ? Best practices in data visualization ? Testing and debugging scientific code ? Advanced NumPy ? Organizing, documenting, and distributing scientific code ? Advanced scientific Python: context managers and generators ? Writing parallel applications in Python ? Profiling and speeding up scientific code with Cython and numba ? Programming in teams Faculty ======= ? Caterina Buizza, Personal Robotics Lab, Imperial College London UK ? Lisa Schwetlick, Experimental and Biological Psychology, Universit?t Potsdam Germany ? Nelle Varoquaux, CNRS, TIMC-IMAG, University Grenoble Alpes France ? Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Disease, University of Bordeaux France ? Pamela Hathway, Neural Reckoning, Imperial College London UK ? Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland ? Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universit?t zu Berlin Germany ? Tiziano Zito, Department of Psychology, Humboldt-Universit?t zu Berlin Germany ? Zbigniew J?drzejewski-Szmek, Red Hat Inc., Warsaw Poland Organizers ========== Head of the organization for ASPP and responsible for the scientific program: ? Tiziano Zito, Department of Psychology, Humboldt-Universit?t zu Berlin Germany Local team: ? Nina Turk, Photonics Research Group, INTEC, Ghent University ? imec Belgium ? Freya Acar, Office for Data and Information, City of Ghent Belgium ? Joan Juvert Institutional organizers: ? Wim Bogaerts, Photonics Research Group, INTEC, Ghent University ?imec Belgium ? Sven Degroeve, VIB-UGent Center for Medical Biotechnology, Ghent Belgium ? Jeroen Famaey, Department of Mathematics and Computer Science, University of Antwerp ? iMinds Belgium ? Bernard Manderick, Artificial Intelligence Lab, Vrije Universiteit Brussel Belgium Website: https://aspp.school Contact: info at aspp.school From J.Spencer at uea.ac.uk Mon Feb 24 08:37:32 2020 From: J.Spencer at uea.ac.uk (John Spencer (PSY - Staff)) Date: Mon, 24 Feb 2020 13:37:32 +0000 Subject: Connectionists: Faculty posts in the UK... Message-ID: Dear Colleagues, We have 7 open rank faculty positions at the University of East Anglia (UEA). We welcome applicants studying all aspects of computational neuroscience to join our world-class faculty. Note that we will be opening a new Brain Imaging Centre in October. Details can be found below: https://myview.uea.ac.uk/webrecruitment/pages/vacancy.jsf?vacancyRef=ATR1517 FACULTY OF SOCIAL SCIENCES SCHOOL OF PSYCHOLOGY Lecturer/Associate Professor/Professor in Psychology (up to seven Posts) Ref: ATR1517 A competitive professorial salary package is available for outstanding candidates. In the next phase of growth, the UEA School of Psychology seeks new appointments to complement existing research strengths within the School. Priority will be given to candidates with a sustained record of internationally leading research outputs, research income, and research leadership, specialising in any area of Psychology. Applicants with expertise in cognition across the lifespan (ageing, adolescence, child development) and/or computational approaches to psychological science are particularly encouraged to apply. Up to two of the posts will be at Professorial level for outstanding candidates. We also seek applicants who can demonstrate synergies with other schools/faculties, commensurate with the multidisciplinary ethos at UEA, and the world-leading facilities at the Norwich Research Park. Applicants must have a PhD or equivalent qualification and be able to satisfy all other essential criteria for the role. These posts are available from 1 July 2020 or as soon as possible thereafter on a full time or part time, indefinite basis. Closing Date: 16 March 2020 The University is a Silver Athena Swan Award holder. John P. Spencer, PhD Professor Developmental Dynamics Lab https://www.facebook.com/DDPSYUEA http://www.uea.ac.uk/developmental-dynamics-lab/home School of Psychology, Room 0.09 Lawrence Stenhouse Building, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ United Kingdom Telephone 01603 593968 [/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage002.jpg at 01D48BB4.171FA130][/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage004.jpg at 01D48BB4.171FA130] Gold (Teaching Excellence Framework 2017-2021) World Top 200 (Times Higher Education World University Rankings 2020) UK Top 25 (The Times/Sunday Times 2020 and Complete University Guide 2020) World Top 50 for research citations (Times Higher Education World University Rankings 2020) Athena SWAN Silver Award Holder in recognition of advancement of gender equality for all (Advance HE 2019) Any personal data exchanged as part of this email conversation will be processed by the University in accordance with current UK data protection law and in line with the relevant UEA Privacy Notice. This email is confidential and may be privileged. If you are not the intended recipient please accept my apologies; please do not disclose, copy or distribute information in this email or take any action in reliance on its contents: to do so is strictly prohibited and may be unlawful. Please inform me that this message has gone astray before deleting it. Thank you for your co-operation. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 200 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 5593 bytes Desc: image002.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 2466 bytes Desc: image003.jpg URL: From midas at iiitd.ac.in Tue Feb 25 02:57:38 2020 From: midas at iiitd.ac.in (MIDAS Lab IIIT Delhi) Date: Tue, 25 Feb 2020 13:27:38 +0530 Subject: Connectionists: IEEE BigMM 2020, New Delhi, India: Call for Papers (Deadline: 15 April) In-Reply-To: References: Message-ID: Dear Colleagues ********************************************************** Submission Deadline: 15 April 2020 PST ********************************************************** Consider submitting your papers to the IEEE BigMM 2020. Kindly share the CFP with others who may wish to submit papers to IEEE BigMM 2020, which will be held at Jawaharlal Nehru University (JNU), New Delhi, in collaboration with Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi). ------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of the CFP. ------------------------------------------------------------------------ CALL FOR PAPERS Webpage: http://bigmm2020.org/index.php/calls-for-submission/call-for-papers Submission Instruction: http://bigmm2020.org/index.php/authors/submission-instructions Submission Link: https://easychair.org/conferences/?conf=bigmm2020 The Sixth IEEE International Conference on Multimedia Big Data (BigMM 2020) September 24-26, 2020 Jawaharlal Nehru University New Delhi, India http://bigmm2020.org/ Multimedia is increasingly becoming the ?biggest big data?. It is the most important and valuable source for insights and information as it covers everyone?s experiences and is about everything that is happening in the world. As such, multimedia big data is spurring on a tremendous amount of research and development of related technologies and applications. The IEEE International Conference on Multimedia Big Data (BigMM), jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing) and IEEE-TCSEM (Technical Committee on Semantic Computing), is a world?s premier forum of leading scholars in the highly active multimedia big data research, development and applications. The sixth BigMM conference is jointly hosted by the Jawaharlal Nehru University (JNU) and Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), will be held in JNU, New Delhi from September 24 to 26 in 2020. The conference aims to bring together researchers from different areas and solicits high-quality original research papers relevant in any aspect of multimedia big data but not limited to the following broad themes: Multimedia and User Engagement - Social media mining; affective computing - Multimedia search; ranking; summarization - Multimedia recommendation systems - Security and privacy Multimedia Experience - Human-computer interactions, visualization, and navigation - Digital humanities; arts; storytelling - Multimedia applications; multimodal interactions and interfaces Multimedia and Big Data Content Understanding - Multimodal integration and alignment - Vision and language; audio/visual processing - Large scale multimodal content (image/audio/video) understanding and processing Multimedia Systems - Large scale multimedia systems and middleware - Transport and delivery - Large scale multimedia systems and middleware - Green computing; resource-efficient multimedia and big data computing SUBMISSIONS - Regular Full Papers: Authors are invited to submit a full paper (two-column 8 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Regular Short Papers: Authors are invited to submit a regular paper (two-column 4 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Industry Papers: Authors are invited to submit an industry paper (two-column 8 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Student Consortium Papers: Authors are invited to submit a student consortium paper (two-column 4 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Technical Demo Papers: Authors are invited to submit a technical demonstration paper (two-column 4 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Multimedia Grand Challenge Papers: Authors are invited to submit a multimedia grand challenge paper (two-column 4 pages of content excluding references of maximum 2 pages) for your solution according to the guidelines available on the BigMM 2020 website. - Workshops Papers: Authors are invited to submit a workshop paper (two-column 8 pages of content excluding references of maximum 2 pages) according to the guidelines available on the workshop websites. These will focus on specific topics of the main conference. IEEE BigMM 2020 will showcase high quality oral and poster presentations as well as technical demo and grand challenge solution sessions. The review will be done by at least three reviewers. Best papers, posters, technical demos, and multimedia grand challenge solutions will be awarded at the conference. All papers in this conference will be included in the IEEExplore and indexed by EI. IMPORTANT DATES - Workshop/Grand Challenge Proposals Submission: Feb 29, 2020 - Workshop/Grand Challenge Proposal Acceptance Notification: March 15, 2020 - Round-1 Regular/Industry/Short Paper Submission: Feb 10, 2020 - Round-1 Regular/Industry/Short Paper Notification: March 15, 2020 - Round-2 Regular/Industry/Short Paper Submission: April 15, 2020 - Round-2 Regular/Industry/Short Paper Notification: May 31, 2020 - Demonstration/Student Consortium Paper Submission: April 30, 2020 - Demonstration/Student Consortium Paper Notification: May 31, 2020 - Workshop/Grand Challenge Paper Submission: May 15, 2020 - Workshop/Grand Challenge Paper Notification: June 15, 2020 - Camera-ready: June 20, 2020 - Registration Deadline: July 1, 2020 - Conference: September 24-26, 2020 You may check more details at http://bigmm2020.org, https://twitter.com/ieeebigmm, and https://www.facebook.com/ieeebigmm. -- Best regards MIDAS - Multimodal Digital Media Analysis Lab *"Where Research for Society is a Pleasure." * A-415, Level 4, New Academic Building, IIIT-Delhi, Okhla Industrial Estate Phase 3, Near Govindpuri Metro Station, Delhi - 110020. Phone: +91-11-26907495 Website: http://midas.iiitd.edu.in Twitter: https://twitter.com/midasiiitd Facebook: https://facebook.com/midasiiitd LinkedIn: https://linkedin.com/company/midasiiitd -------------- next part -------------- An HTML attachment was scrubbed... URL: From huiyu_kang at fudan.edu.cn Wed Feb 26 02:16:59 2020 From: huiyu_kang at fudan.edu.cn (=?utf-8?Q?huiyu=5Fkang?=) Date: Wed, 26 Feb 2020 15:16:59 +0800 Subject: Connectionists: =?utf-8?q?Post-doc_Positions_=7C_Neural_and_Intel?= =?utf-8?q?ligence_Engineering_Center=2C_Institute_of_Science_and_Technolo?= =?utf-8?q?gy_for_Brain-inspired_Intelligence=2C_Fudan_University=2C_Shang?= =?utf-8?q?hai=2C_China?= Message-ID: <89B08E4F-909E-4935-AAC0-336C3998CAD9@fudan.edu.cn> An HTML attachment was scrubbed... URL: From S.Qiu-1 at tudelft.nl Wed Feb 26 05:22:26 2020 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Wed, 26 Feb 2020 10:22:26 +0000 Subject: Connectionists: Call for Workshop Proposals: ACM Hypertext 2020 Message-ID: <34B0F18D-D402-4762-8E60-80FF0F31AB7C@tudelft.nl> * We apologize for cross-posting * Call for Proposals: Workshops at HT2020 Chair: Jamie Blustein http://projects.cah.ucf.edu/ht2020/workshops/ The workshops at ACM Hypertext aim to create a more informal framework for an innovative exchange of views, exchange experiences, present ideas, promote the research community and identify open problems and directions for future research. The workshops also provide a good opportunity for both established and junior researchers to present work and receive feedback from an interested community in a constructive atmosphere and somewhat more interactive format than the main conference. Proposals are particularly appreciated on new topics related to the main topics of the conference, but may also include other topics that may be of interest to the hypertext community. There are no limits on creativity in workshop design. Acceptance of workshop proposals will be based on the experience and background of the organisers in the topic, and on the relevance of the subject matter with regard to the topics addressed in the main conference. We welcome proposals for different types of workshops, from working groups on a specific topic to more traditional conference-like workshops. We generally prefer ?interactive? workshops, which ensure a richer active interaction between the participants and offer plenty of space for controversial and stimulating discussions. Potential proposers are invited to discuss their ideas with the workshop chair before working out a detailed proposal. Send your workshop proposals (as a single PDF file) by e-mail to the workshop/tutorial chair at jamie at cs.dal.ca using the email subject [HT2020 WORKSHOP], with the following information: ? Title of the workshop and suggested acronym ? Keywords (describing the main themes) ? Abstract (maximum of 3 pages is recommended) ? Description of the workshop (topics and goals) ? Relevance of the workshop to ACM Hypertext 2020 ? Workshop organisers? bios (1-2 paragraphs per organiser) ? Motivation (why the topic is of interest for the conference audience) ? Workshop and submission formats (e.g. position papers of specified length, long or short papers, hypertexts) ? Length (half day or full day ? in this case, motivation for the need for a full day) ? Previous editions of the workshop series, if applicable (URLs, conference it was co-located with, number of registrants, number of submissions, number of accepted papers, and any other relevant information to assess level of interest from the community) ? Any plan for further publication (e.g. special issue in journals) ? Initial list of (potential) members of the program committee Deadline for workshop submission is March 24, 2020. From giacomo.cabri at unimore.it Wed Feb 26 09:46:02 2020 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Wed, 26 Feb 2020 15:46:02 +0100 Subject: Connectionists: *** DEADLINE EXTENSION *** CfP 2nd International Workshop on Key Enabling Technologies for Digital Factories (KET4DF) at CAiSE 2020 Message-ID: <2f0cbdec-ea97-369e-cdb9-5201af4b0283@unimore.it> [ apologies for potential cross-postings ] ============================================= ???????? Call For Papers ?? 2nd International Workshop on ?Key Enabling Technologies for Digital Factories ???? in conjunction with CAiSE 2020 ????? ??? Grenoble, France https://sites.google.com/view/ket4df2020/ ============================================= Paper submission deadline EXTENDED TO? March 10th, 2020, 11:59pm Hawaii Time Scope --------------------- The manufacturing industry is entering a new digital era in which ICT technologies and collaboration applications will be integrated with traditional manufacturing practices and processes to increase flexibility and sustainability in manufacturing, mass customization, increase automation, better quality and improve productivity. This workshop seeks at providing the opportunity for inspiration and cross-fertilization for the research groups working on technological solutions for digital factories and smart manufacturing. We welcome innovative papers from academic and industrial researchers covering a wide range of topics of interests in the computer science and computer engineering fields. The first KET4DF workshop at CAISE 19 was a success with over 20 submitted papers, 10 presentations and many participating international experts from industry and academia. We hope you will be interested in contributing to the continued relevance of the KET4DF series of workshops at this year's conference. Topics of interest --------------------- The topics include but are not limited to: * Digital Platform Interoperability for Digital Factories * Internet-of-things for Smart Manufacturing * Digital Factories and End-to-end supply chains * Model-based development in Digital Factories * M2M interaction * Information Systems for Sustainable Value Networks * Information Systems Engineering for Additive Manufacturing * Manufacturing Enterprise Architecture Engineering * Big Data Technologies and Analytics for Smart Manufacturing * Cloud, Fog, Edge Computing and other programming techniques in Manufacturing Systems * Data Mining, Machine Learning and AI in Smart Manufacturing * Data-driven decision making in Industry 4.0 * Real-time Computing in Smart Manufacturing Environments * Proactive and Autonomous Computing in Digital Factories * Intelligent Cyber-Physical Systems and Digital Twins * Context-aware and Adaptive Systems in Smart Manufacturing and Digital Factories * Digital Security, Privacy and Liability * Business Process Modelling, Analysis and Engineering * Business Impact of Information Systems for Industry 4.0 * Advanced user interfaces for Industry 4.0 * Virtual and augmented reality for smart manufacturing Important Dates --------------------- Paper submission: March 10th, 2020 Acceptance notification: March 31st, 2019 Workshop: June 9th, 2019 --------------------- Workshop Co-chairs: --------------------- Federica Mandreoli Universit? di Modena e Reggio Emilia, Italy Giacomo Cabri Universit? di Modena e Reggio Emilia, Italy Gregoris Mentzas National Technical University of Athens, Greece Karl Hribernik Bremer Institut f?r Produktion und Logistik GmbH (BIBA), Germany --------------------- Workshop web site: https://sites.google.com/view/ket4df2020 --------------------- --------------------- -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From lpulina at uniss.it Wed Feb 26 12:07:03 2020 From: lpulina at uniss.it (Luca Pulina) Date: Wed, 26 Feb 2020 18:07:03 +0100 Subject: Connectionists: QBFEVAL'20 - Competitive Evaluation of QBF Solvers Message-ID: <54519ede-155a-9e89-6762-3396c81f69ac@uniss.it> [apologies for any cross-posting] ******************************************************************************** QBFEVAL'20 - Competitive Evaluation of QBF Solvers A joint event with the 23rd Int. Conference on Theory and Applications of Satisfiability Testing (SAT) Alghero, Italy, July 5 - 9 2020 ******************************************************************************** QBFEVAL'20 is the 2020 competitive evaluation of QBF solvers, and the fifteenth event aimed to assess the performance of QBF solvers. QBFEVAL'20 awards solvers that stand out as being particularly effective on specific categories of QBF instances. We warmly encourage developers of QBF solvers to submit their work, even at early stages of development, as long as it fulfills some very simple requirements. We also welcome the submission of QBF formulas to be used for the evaluation. Researchers thinking about using QBF-based techniques in their area (e.g., formal verification, planning, knowledge representation & reasoning) are invited to contribute to the evaluation by submitting QBF instances of their research problems (see the requirements for instances). The results of the evaluation will be a good indicator of the current feasibility of QBF-based approaches and a stimulus for people working on QBF solvers to further enhance their tools. For questions, comments and any other issue regarding QBFEVAL'20, please get in touch with the organizers via qbfeval at qbflib.org. Details about solvers and benchmarks submission, tracks, and related rules, are available at http://www.qbflib.org/qbfeval20.php *Important Dates* Registration open: February 26, 2020 Registration deadline: April 19, 2020 Solvers and Benchmarks due: April 26, 2020 First stage results: May 3, 2020 Second stage solvers due: May 17, 2020 Competition Benchmarks available for download: July 1, 2020 Final results: presented at SAT'20 *Organization* Luca Pulina, University of Sassari Martina Seidl, Johannes Kepler Universitat Linz Ankit Shukla, Johannes Kepler Universitat Linz -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From riccardo.guidotti at unipi.it Wed Feb 26 13:02:01 2020 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Wed, 26 Feb 2020 19:02:01 +0100 Subject: Connectionists: DSAA 2020 Call for Papers Message-ID: ====================================================================== IEEE/ACM/ASA DSAA'2020 CALL FOR PAPERS IN RESEARCH & APPLICATION TRACKS 06-09 Oct. 2020 Sydney, Australia http://dsaa2020.dsaa.co ====================================================================== Important Dates ---------------------------------------------------------------------------- * Paper (Research & Application tracks) Submission Deadline: 24 May 2020 * Paper (Research & Application tracks) Notification: 26 Jul. 2020 * Paper (Research & Application tracks) Camera Ready Due: 9 Aug. 2020 Highlights of DSAA'2020 ---------------------------------------------------------------------------- * Strong Research and Applications tracks with reproducible and open results. * Student Poster and Industry Poster sessions with lightning results highlighting student?s research advances and industry?s best practices. * One-day Industry Day with Data Science School for business. * Special sessions on the foundations and emerging areas for data science. * Special panel on the trends and controversies of data science and analytics. * A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics. * Strong cross-domain interactions among researchers and industry and government policy-makers and practitioners. * Industry and research exhibits. * Technically sponsored and supported by IEEE CIS, ACM SIGKDD and ASA, proceedings by IEEE Xplore and EI indexed. About DSAA'2020 ---------------------------------------------------------------------------- The 7th IEEE/ACM/ASA International Conference on Data Science and Advanced Analytics (DSAA) features its strong interdisciplinary synergy between statistics (via ASA), computing and information/intelligence sciences (IEEE and ACM), and cross-domain interactions between academia and business for data science and analytics. DSAA sets up a high standard for its organizing committee, keynote speeches, submissions to main conference and special sessions, and a competitive rate for paper acceptance. DSAA has been widely recognized as a dedicated flagship in data science and analytics such as by the Google Metrics and China Computer Foundation as an influential event in the area. The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA?2020) will provide a premier forum that brings together researchers, industry and government practitioners, as well as developers and users in statistics, computing science, and intelligence science for the exchange of the latest theoretical developments in Data Science and Analytics and the best practice for a wide range of applications. The conference invites submission of papers describing innovative research on all aspects of data science and advanced analytics as well as application-oriented papers that make significant, original, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios. DSAA?2020 is a dual-track conference consisting of a Research Track and an Research Track. DSAA?2020 will also feature a peer-reviewed Student Poster session and an Industry Poster session, whose purpose is to showcase recent and early-stage research developments on topics that are of interest to students and industry/government practitioners in data science and analytics. Research Track ----------------------------------------------------------------------------- The Research Track solicits the latest, original and significant contributions related to foundations and theoretical developments of Data Science and Advanced Analytics with reproducible results available through a public git repository. Topics of interest include but are not limited to: * Data science foundations and theories * Mathematics and statistics for data science and analytics * Understanding data characteristics and complexities * Data quality and misinformation * Models, algorithms, and methods * Optimization, inference, and regularization * Infrastructures, and systems * Evaluation, explanation, visualization, and presentation * Survey and review Application Track ----------------------------------------------------------------------------- The Application track solicits original, impactful and actionable application results of Data Science and Advanced Analytics across various disciplines and domains, including business, government, healthcare and medical science, physical sciences, and social sciences. Submissions address a real problem on real-life data that is reproducible ideally through a public git repository, providing inspiring results to policy-makers, end-users or practitioners or highlighting new practical challenges for researchers. Topics of interest include but are not limited to: * Domain-driven data science and analytics practice * Real-world applications and case studies * Operationalizable infrastructures, platforms and tools * Deployment, management and decision-making * System and software demonstrations * Social and economic impact modeling * Ethics, social issues, privacy, trust, and bias * Reflections and lessons for better practice DSAA Awards and Travel Grants ----------------------------------------------------------------------------- DSAA features its Best Research Paper award and Best Application Paper award (with honorarium USD$500 each), Next-generation Data Scientist award (honorarium USD1,000), and IEEE CIS and DSAA travel awards. Paper Formatting, Length, Double-blind Reviewing, and Reproducible ----------------------------------------------------------------------------- The paper length allowed for the papers in the Research and Application tracks is a maximum of ten (10) pages, whereas the paper length allowed for the Student Poster and Industry Poster papers is a maximum of two (2) pages. The format for both types of papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: https://protect-au.mimecast.com/s/sgu9C0YKgRs4WZRqHD4E0O?domain=ieee.org for further information and instructions. All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference?s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA?2020. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA?2020 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper?s title and abstract are different from the one appearing in arXiv. Papers that appear in arXiv from the DSAA?2020 submission deadline until the review process has ended, are not allowed. Authors are also encouraged to support their papers by providing through a git-type public repository the code and data to support the reproducibility of their results. Proceedings, Indexing and Special Issues ----------------------------------------------------------------------------- All accepted full-length papers will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top-quality papers accepted and presented at the conference will be selected for extension and invited to the special issues of the International Journal of Data Science and Analytics (JDSA, Springer) and some other journals we are working on. Submission ----------------------------------------------------------------------------- Submissions to the main conference including Research Track & Applications Track are available from Easy Chair (https://easychair.org/conferences/?conf=dsaa2020). Important Policies ----------------------------------------------------------------------------- Reproducibility & supplementary: The advancement of data science depends heavily on reproducibility. We strongly recommend that the authors release their code and data to the public. Authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file and start on page 11). This supplement can only be used to include (i) information necessary for reproducing the experimental results reported in the paper (e.g., various algorithmic and model parameters and configurations, hyper-parameter search spaces, details related to dataset filtering and train/test splits, software versions, detailed hardware configuration, etc.), and (ii) any data, pseudo-code and proofs that due to space limitations, could not be included in the main manuscript. Papers entering into the Best Research Paper and Best Application Paper awards must show solid evidence for reproducibility. Authorship: The list of authors at the time of submission is final and cannot be changed. Dual submissions: DSAA is an archival publication venue as such submissions that have been previously published, accepted, or are currently under-review at peer-review publication venues (i.e., journals, conferences, workshops with published proceedings, etc.) are not permitted. DSAA has a strict no dual submission policy. Conflicts of interest (COI): COIs must be declared at the time of submission. COIs include employment at the same institution at the time of submission or in the past three years, collaborations during the past three years, advisor/advisee relationships, plus family and close friends. Program chairs, poster chairs, special session chairs and tutorial chairs are not allowed to submit proposals to their managed tracks and sessions. Attendance: At least one author of each accepted paper must register in full and attend the conference to present the paper. No-show papers will be removed from the IEEE Xplore proceedings. Enquiries ----------------------------------------------------------------------------- General enquiries about paper submissions should be submitted to pc_dsaa20 at dsaa.co. -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at di.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 donatello.conte at univ-tours.fr Thu Feb 27 06:24:32 2020 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Thu, 27 Feb 2020 12:24:32 +0100 (CET) Subject: Connectionists: Pattern Recogntion Journal Special Issue on AGbR4PR Deadline extended Message-ID: <2117096714.14442088.1582802672319.JavaMail.zimbra@univ-tours.fr> Apologies for miltiple copies ----------------- Virtual Special Issue on Advances in Graph-based Representations for Pattern Recognition (AGbR4PR) Deadline extended (15/03/2020) https://www.journals.elsevier.com/pattern-recognition-letters/call-for-paper s/advances-in-graph-based-representations Motivations Graph-based representation and learning/inference algorithms are widely applied to structural pattern recognition, image analysis, machine learning and computer vision. Facing the multitude of scientific problems and the wide applications of graph-based representations, the IAPR TC-15 (Graph-based Representations in Pattern Recognition) promotes a series of workshops called IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition (GbR) since more than 20 years. This series of workshops has benefitted the community in triggering scientific research and exchanging progresses all along years. The 12th edition of GbR was held in Tours, France, in June 2019, and saw several original contributions linked to the actual strong interest for deep learning and artificial intelligence. This special issue should aim to report the last advances in theory, methods and applications using graphs for pattern representation and recognition. The scope ranges from various computing issues like combining machine learning with graphs, graph mining, graph representations of shapes, images and networks, to applications in pattern recognition, computer vision and data mining. Topics The topics of the Special Issue include, but are not limited to: - Graph matching - Graph-based image segmentation - Machine Learning / Deep Learning on graphs - Graph representation of shapes - Graph-based learning and clustering - Data mining with graphs - Graph distance and similarity measures - Kernel methods for graphs - Graph embedding - Belief-propagation methods - Graph-cuts methods - Graphs in computational topology and bioinformatics - Graphs in social network analysis Important Dates - Submission period: until March 15, 2020 - Notification to Authors for the 1st reviewing round: April 30 2020 - 1st Revision submission: June 30 2020 - Notification to Authors for the 2nd reviewing round: August 15 2020 - 2nd Revision submission: September 30 2020 - Final Notification to Authors: November 15 2020 Authors can submit exclusively during the submission period and they should select the acronym of the special issue (AGbR4PR) as ?article type? when uploading their articles. Reviewing Process The review process will follow the standard PR letters scheme that each paper will be reviewed by two referees. The referees will include some TC15 program committee members and other invited referees selected from the EES. Submission Guidelines All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site at http://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide -for-authors. Submissions must be sent through http://ees.elsevier.com/prletters/. Authors have to select the acronym "AGbR4PR" as the article type, from the "Choose Article Type" pull-down menu during the submission process. The maximal length of a paper is 7 pages in the PRLetters layout and may become 8 in the revised version if referees explicitly request significant additions. The submitted papers should not have been previously published or be under consideration for publication elsewhere. If a submission is the extended version of a conference paper, the original work should be explicitly referenced and a description of the changes should be provided. Also, in this case, PRLetters submission should include at least 30% new material of high relevance (more experiments, proofs of theorems not included in the conference paper, more comparisons with other methods in the literature and so on); the title of the PRLetters paper should be different; the same figures cannot be used, and the parts in common between the conference paper and the extended version cannot be verbatim the same. Guest Editors Donatello Conte (Managing Guest Editor) Computer Science Laboratory of Tours (LIFAT - EA 6300), University of Tours Email: donatello.conte at univ-tours.fr Jean-Yves Ramel Computer Science Laboratory of Tours (LIFAT - EA 6300), University of Tours Email: jean-yves.ramel at univ-tours.fr Pasquale Foggia Dip. di Ingegneria dell?Informazione ed Elettrica e Matematica Applicata, University of Salerno Email: pfoggia at unisa.it From boris.gutkin at ens.fr Thu Feb 27 06:36:28 2020 From: boris.gutkin at ens.fr (boris gutkin) Date: Thu, 27 Feb 2020 12:36:28 +0100 Subject: Connectionists: Masters fellowships in computational neuroscience within the Interdisciplinary Master in Life Science at ENS/PSL Paris Message-ID: Mathematics of Neural Circuits team (Pi Boris Gutkin, https://lnc2.dec.ens.fr/en/teams/mathematics-neural-circuits) at the Laboratory for Cognitive and Computational Neuroscience, Ecole Normale Superieure Paris France is looking for highly qualified candidates to support for the masters (m1 and m2) fellowship competition within the Interdisciplinary Master in Life Science ENS Paris. Within the framework of the PSL Q-Life Institute of Convergence , a scholarship program offering competitive stipends for students following the Interdisciplinary Master in Life Science (IMaLiS ) has been established to specifically support two categories of students : International students (10,000 ?/year), French students with a degree in a scientific discipline other than Life Sciences (6,000 ?/year). In addition to providing the fellowship, the program can reserve rooms at the Cit? International Universitaire de Paris for some of the students. The deadline is April 17 2020. More details on the program can be found here: https://www.enseignement.biologie.ens.fr/spip.php?article189&lang=fr For more information and preliminary interview please contact: boris.gutkin at ens.fr Boris Gutkin, PhD Research Director CNRS Group for Neural Theory, LNC INSERM U960 Institut d'Etude de la Cognition de l'Ecole normale sup?rieure Ecole normale superieure, Paris Sciences et Lettres* 29 rue d'Ulm. 75005 Paris, France Phone: +3314432 2956 Internet:http://gnt.ens.fr/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From r.pascanu at gmail.com Thu Feb 27 10:16:13 2020 From: r.pascanu at gmail.com (Razvan Pascanu) Date: Thu, 27 Feb 2020 15:16:13 +0000 Subject: Connectionists: Eastern European Machine Learning summer school (EEML), Krakow, Poland, 6-11 July 2020, APPLICATIONS NOW OPEN Message-ID: Call for Participation (apologies for crossposting) Eastern European Machine Learning summer school July 6-11, 2020, Krakow, Poland Web: https://www.eeml.eu Email: contact at eeml.eu Applications are now open! Details about the application process https://www.eeml.eu/application. Application closes: March 20, 2020 Notification of acceptance: mid-April 2020. Motivation and description EEML is a machine learning summer school that aims to democratise access to education and research in AI, and improve diversity in the field. The summer school is held yearly in Eastern Europe -- this year in Krakow, Poland. By bringing together high quality lecturers and participants from all over the world, we strive to enable communication and networking among the Eastern European AI communities as well as with researchers from around the world. The school is open to participants from all over the world. The selection process has equal opportunities and diversity at heart, and will assess interest and knowledge of machine learning. Details about the application process are available online https://www.eeml.eu/application. The theme of the 2020 edition will be Deep Learning and Reinforcement Learning. The programme consists of lectures and hands-on practical sessions on core topics such as Reinforcement Learning, Theory of Deep Learning, Unsupervised learning, Computer Vision, Natural Language Processing, Neuroscience. List of confirmed lecturers so far: Alex Graves, DeepMind Diana Borsa, DeepMind Doina Precup, McGill University & DeepMind Gergo Orban, MTA Wigner Research Centre Jacek Tabor, GMUM Jagiellonian University Mihaela Rosca, DeepMind Mikhail Belkin, Ohio State University Razvan Pascanu, DeepMind Tomas Mikolov, CIIRC Prague Tutorials are led by: David Szepesvari, DeepMind Gheorghe Comanici, DeepMind Feryal Behbahani, DeepMind Stanislaw Jastrzebski, New York University Viorica Patraucean, DeepMind Organisers Doina Precup, McGill University & DeepMind Razvan Pascanu, DeepMind Viorica Patraucean, DeepMind Aleksandra Nowak, GMUM Jagiellonian University Jacek Tabor, GMUM Jagiellonian University Maciej Wo?czyk, GMUM Jagiellonian University Micha? Kr?likowski, MLinPL Micha? Zmys?owski, MLinPL Tomek W?s, MLinPL Wojciech Czarnecki, DeepMind Technical support: Gabriel Marchidan, IasiAI & Feel IT Services Partners GMUM Jagiellonian University, Krakow, Poland MLinPL Association Poster session Participants will have the opportunity to present their research work and interests during poster sessions. The work described does not have to be novel. For example, participants can present their experience of reproducing published work. Social events The programme includes several opportunities for socialising and networking, such as welcome reception, gala dinner, team-building activities. Financial support Travel grants will be offered to participants based on financial considerations. More info https://www.eeml.eu contact at eeml.eu Follow us on Twitter https://twitter.com/EEMLcommunity -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.dausilio at gmail.com Thu Feb 27 11:03:19 2020 From: alessandro.dausilio at gmail.com (Alessandro D'Ausilio) Date: Thu, 27 Feb 2020 17:03:19 +0100 Subject: Connectionists: [Jobs] Early Stage Researchers (ERS) Positions in the EU-Marie Sklodowska-Curie ETN COBRA (COnversational BRAins) Message-ID: Applicants are invited for two Early Stage Reasearchers (ESR) of EU Marie Sklodowska-Curie Actions (MSCA) to be hosted in the Istituto Italiano di Tecnologia (IIT). The positions are for a fixed-term of 3 years and the successful applicants are expected to register for PhD at the University of Ferrara, in Translational Neurosciences and Neurotechnologies. The two Early Stage Researchers (ESR) of COBRA H2020 project (G.A. N. 859588), an EU Innovative Training Network of MSCA involving 9 partners, which will train a group of 15 researchers that will be the next generation of researchers to accurately characterize and model the linguistic, cognitive and brain mechanisms deployed by human speakers in conversational interactions with human interlocutors as well as artificial dialog systems. ERS2 Objectives: When people are engaged in meaningful social interaction, they automatically and implicitly adjust their speech, vocal patterns and gestures to accommodate to others. Although these processes have extensively been explored at the behavioral level, very little is known about their neural underpinnings. Prior investigations have shown that suppression of alpha oscillations, overlaying sensorimotor regions, are a possible marker of action-perception coupling during non-speech (Tognoli & Kelso, 2015) and speech based (Mukherjee et al., 2019) interactive tasks. The project, by running dual-EEG recordings, will investigate if behavioral speech alignment translates into identifiable brain oscillatory markers. Key objectives are (i) to develop and validate metrics to quantify phonetic accommodation during natural speech interactions and (ii) to identify electrophysiological markers of between-speaker convergence. Expected results: - A computational pipeline, based on deep-learning methods, to extract phonetic accommodation patterns of speakers engaged in a meaningful social interaction; - A significant contribution to the field of hyper-scanning by exploring the neurophysiological correlates of phonetic convergence during conversations. Based in Ferrara, Italy Full-time three-year contract, starting September 2020 PhD enrolment at: University of Ferrara Main supervisor?s institution: Italian Institute of Technology Main supervisor: Prof. Alessandro D?Ausilio, Prof. Luciano Fadiga Secondments: - AMU (Aix-Marseille Universit?, France): making-up of linguistic material in both Italian and French, contribution to design of experimental set-up and to phonetic analyses (5,5 months); - HU-ZAS (Humboldt-Universit?t, Germany): Assessment of a repertoire of metrics for measuring phonetic convergence in conversational speech (5 months). Contact: alessandro.dausilio at iit.it ERS10 Objectives: For adults, mastering the segmental and supra-segmental aspects of a second language (L2) is particularly challenging. Although we know that such a capability is partially maintained during adulthood, we do not know yet how to facilitate effective and long-lasting L2 learning. This project is based on the hypothesis that when people engage in meaningful social interactions, they automatically and implicitly align at multiple levels (Pickering, Garrod, 2013), including the phonetic (Mukherjee et al., 2019) and the facial expression ones. ESR10 will tackle the fundamental scientific question of speech alignment in L2 and whether it drives long-lasting improvements in L2 skills. Key objectives are (i) to investigate the dynamics of alignment in L2 (English) and (ii) to quantify improvements when participants are engaged in a conversation with native speakers. Expected results: - Validation of a set of game-like tools to quantify L2 speech and facial movements alignment; - Exhaustive investigation of alignment in L2, its relation with L2 proficiency before training and long term retention of L2 improvements. Based in Ferrara, Italy Full-time three-year contract, starting September 2020 PhD enrolment at: University of Ferrara Main supervisor?s institution: Italian Institute of Technology Main supervisor: Prof. Alessandro D?Ausilio, Prof. Luciano Fadiga Secondments: - IISAS (Slovak Academy of Sciences, Slovakia): training on methods for analyzing acoustic-prosodic alignment in dialogues (5 months); - DAVI (DAVI, France): training on how to explore facial movement alignment in L2 (5,5 months). Contact: alessandro.dausilio at iit.it Contract The ESR will be contractually employed for 36 months by the main institution, and will be covered under the social security scheme of the enrolling country. The contract will be compliant with the applicable EC Marie Sk?odowska-Curie Actions-ITN general conditions. Experience eligibility requirement: Eligible applicants must be in the first 4 years of their research careers (full-time equivalent research experience) at the date of the recruitment (measured from the time the Master?s degree has been obtained). Eligible applicants must not hold a Doctoral Degree yet. Mobility eligibility requirement: The fellow must not have resided and not have carried out their main activity (work, studies, etc.) in Italy for more than 12 months in the 3 years immediately prior to the recruitment date,. Selection process Applications must contain the following: ? An up-to-date CV, without gaps, in order for the selection committee to easily check the mobility and experience requirements. CVs that either do not clearly show the applicant?s past experience, or have gaps, will be considered ineligible; ? A letter exposing her/his motivation for a COBRA PhD fellowship, and her preference for two of the fifteen PhD projects proposed in COBRA; ? At least 1 reference letter (in English) from one former supervisor and/or professor; ? The scan of the degree (usually the master?s degree) which would formally entitles her/him to embark on a doctorate, either in the country in which the degree was obtained, or in the country in which the researcher will be recruited. If the degree has not been obtained yet, the applicant will have to provide a declaration of her/his university stating that the degree will be obtained before the expected starting date; ? Transcripts of records (document indicating the applicant?s ranking and marks within her/his master?s degree as well as the courses/modules she/he has followed). ? The complete application should be provided in the form of one single pdf file, named as follows: lastname-firstname.pdf. THE APPLICATION IS DONE VIA THE COBRA WEBPAGE: https://www.cobra-network.eu/ DEADLINE: MARCH 31st 2020 -------------- 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 JD.Lopes at hw.ac.uk Thu Feb 27 10:56:49 2020 From: JD.Lopes at hw.ac.uk (Aguas Lopes, Jose David) Date: Thu, 27 Feb 2020 15:56:49 +0000 Subject: Connectionists: Second Call for Papers: SIGdial 2020 Special Session on Situated Dialogue with Virtual Agents and Robots (RoboDial 2.0) Message-ID: <30A9AC99-FC87-4A5E-B7BF-E5DA02248B03@hw.ac.uk> Second Call for Papers: SIGdial 2020 Special Session on Situated Dialogue with Virtual Agents and Robots (RoboDial 2.0) SIGdial main conference submissions due March 6. Late-breaking, work-in-progress, and position papers due May 15. **Introduction** Recent technologies have brought conversational robots out of the lab and into the homes and workplaces of real users. Dialogue is now actively taking place between people and agents to operate, navigate, visualize, and interact in physical or virtual spaces. *Situated dialogue* distinguishes itself from other forms of dialogue in that it (1) takes place in an environment (real or simulated), (2) refers to the shared surroundings of interlocutors, and (3) involves an embodied agent (e.g., a robot or device). There is a growing need for bi-directional dialogue work to be showcased that supports the body of research on language grounding, vision and language, as well as dialogue that will allow situated agents, like robots, to ask for clarification and provide updates on their internal states. Our objectives in this special session are to showcase recent and ongoing work on situated dialogue, and to identify paths forward in this space from research across communities including dialogue, robotics, virtual agents, computer vision, NLP, and AI. The special session will feature oral presentations and a poster session. We welcome submissions on any topic related to situated dialogue, including but not limited to: - Interaction studies with smart-home devices and virtual agents - Learning from demonstration through natural language dialogue - Explainable AI in physical and virtual spaces - Representations of physical surroundings / world modeling to support grounded communication - Embodied visual question answering and/or generation - Empirical studies of human-robot dialogue (Wizard-of-Oz based, simulated, or semi-autonomous) - Computational models of dialogue management and/or turn-taking with physical or virtual agents - Methods of building or leveraging common ground with physical agents in real-world or simulated environments - Corpora of situated dialogue (Wizard-of-Oz based, simulated, or semi-autonomous) - Corpus analysis of situated dialogue - Multimodal information processing to support dialogue (including speech, gaze, gesture) - Physical embodiment, voice, or personification of robots and its effect on human-robot dialogue - Communicating feedback from robots using affordances in addition to speech - Machine learning methods for embodied dialogue systems - Dialogue-based collaborative human-robot interaction - Spoken language generation for situated dialogue - Spoken language / speech processing technologies to support situated dialogue **Call for Papers** Researchers may choose to submit: *Long papers and short papers* will present original research and go through the same peer review process by the SIGdial program committee as papers submitted to the main SIGdial track. These papers will appear in the main SIGdial proceedings and are presented with the main track. Long papers must be no longer than eight pages, including title, text, figures and tables, along with two additional pages for example discourses or dialogues and algorithms, and an extra page is allowed in the final version to address reviewers' comments. Short papers should be no longer than four pages including title, text, figures and tables, along with one additional page for example discourses or dialogues and algorithms, and an extra page is allowed in the final version to address reviewers' comments. An unlimited number of pages are allowed for references. *Late-breaking and work-in-progress papers* will showcase ongoing work and focused, relevant contributions. Submissions need not present original work. Late-breaking and work-in-progress papers should be no longer than four pages including title, text, figures and tables, and references. These will be reviewed by the special session organizers and posted on the special session website. These papers will be presented as lightning talks or posters during the session. Authors will retain the copyright to their work so that they may submit to other venues as their work matures. *Position papers* will give voice to authors who wish to take a position on a topic listed above or the field of spoken, situated dialogue on robots at large. Submissions need not present original work. These will be reviewed by the special session organizers and posted on the special session website. These papers will be presented as lightning talks or posters during the session. Authors will retain the copyright to their work so that they may submit to other venues. Important Dates **Long and short paper submission deadline: March 6** To submit a long or short paper, please go to the SIGdial 2020 START page (https://www.softconf.com/l/sigdial2020/). When submitting, indicate ?Special Session Paper (RoboDial 2.0)? under the ?Submission Type? category. All long and short submissions must follow the SIGdial 2020 format. **Late-breaking and work-in-progress paper deadline: May 15** To submit a late-breaking or work-in-progress paper, please email a 2-4 page PDF (including references) formatted using the SIGdial 2020 format guidelines, to: robodial at googlegroups.com by May 15. You will receive a confirmation of your submission and notification before the Early Bird Registration deadline. **Position paper deadline: May 15** To submit a position paper, please email a 4-6 page PDF (including references) formatted using the SIGdial 2020 format guidelines, to: robodial at googlegroups.com by May 15. You will receive a confirmation of your submission and notification before the Early Bird Registration deadline. **List of Organizers** Jose David Lopes, Heriot Watt University Stephanie Lukin, Army Research Lab Matthew Marge, Army Research Lab Vikram Ramanarayanan, Educational Testing Service Matthias Scheutz, Tufts University Casey Kennington, Boise State University Cynthia Matuszek, University of Maryland, Baltimore County Contact: robodial at googlegroups.com **Website** For more information and updates please check the special session website at https://robodial.github.io ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system. -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Thu Feb 27 12:53:42 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Thu, 27 Feb 2020 18:53:42 +0100 Subject: Connectionists: CFP: International Workshop on Artificial Intelligence & Edge Computing (AIEC 2020) In-Reply-To: <4e294d4a-d16f-410f-8e57-a54547b0c402@ai.univ-paris8.fr> References: <4e294d4a-d16f-410f-8e57-a54547b0c402@ai.univ-paris8.fr> Message-ID: <7b8b9147-05c2-2e8b-5833-c3b38e17cd3d@ai.univ-paris8.fr> [Apologies if you got multiple copies of this invitation] ** *International Workshop on Artificial Intelligence & Edge Computing (AIEC 2020)* https://sites.google.com/view/waiec/ in conjunction with *The Fifth International Conference on Fog and Mobile Edge Computing (FMEC 2020)* and *The Seventh International Conference on Software Defined Systems (SDS 2020)* Paris, France. April 20-23, 2020 *AIEC 2020 CFP* Artificial Intelligence (AI) became a popular wide area for the latest- generation of software-oriented solutions. Lately, AI has been considered as a hot topic due to its huge applications and it attracted attention from academia as well as industrial and end users while receiving positive media coverage. AI is advancing at considerable speed and lead to many widely beneficial applications, variant from Machine Translation to Medical Image Computing. From R&D perspectives, AI acquires incredible amounts of progress in terms funding investors devoted on AI applications. According to AI efforts, Edge Computing (EC) has become an essential solution to overcome the strangulation of emerging technology development according to its benefits of minimizing data transmission, reducing service latency and easing cloud computing pressure. Also, the scope of EC is very diverse on large application area, such as smart grid and smart city, logistics and transportation, manufacturing and healthcare. Furthermore, the EC provide significant gains which include low-latency thus allowing close cooperation in sophisticated mobile applications and on the core network to reduce traffic volume as data streaming along the way to the distant data center is no longer necessary. The evolution of new technologies of communication such as 5G made communication so much easier where the latency is lower and memory bandwidth is higher, the border between edge infrastructure and mobile devices will be even imprecise and EC will become more attractive. The Workshop on Artificial Intelligence & Edge Computing (AIEC) aims to bring together researchers and practitioners from both academia and industry who are working on Artificial Intelligence and Edge Computing as well as their integration, to exchange research ideas and identify new research challenges in this emerging field. *Topics* The Workshop on Artificial Intelligence & Edge Computing (AIEC) calls for contributions that address fundamental research and solutions issues in Artificial Intelligence and Edge Computing including but not limited to the following : ?Big Data mining at the Edge ?Machine Learning at the edge ?Architectures of Edge AI for IoT ?Security on the Edge ?Resource-friendly Edge AI Model Design ?Resource Management for Edge AI ?Applications/services for Edge AI ?Communication and Networking Protocols for Edge AI ?Software Platforms for Edge *Important Dates * ?*Submission Date: 27^th February, 2020 * ?Notification to Authors: *1^st March, 2020* ?Camera Ready Submission: *10^th March, 2020* *Submissions Guidelines and Proceedings * Papers selected for presentation will appear in the FMEC Proceedings, which will be published by the IEEE Computer Society and be submitted to IEEE Xplore for inclusion. Papers must be 6 pages in IEEE format, 10pt font using the IEEE 8.5" x 11" two-column format, single space, A4 format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. *Submission System * *https://easychair.org/conferences/?conf=waiec2020 * *Journal Special Issues * Selected papers from the will be invited to submit an extended version to the following journal. Papers will be selected based on their reviewers? scores and appropriateness to the Journal?s theme. All extended versions will undergo reviews and must represent original unpublished research work. Further details will be made available at a later stage. *Committee*** *Workshop Organizers* ?Otman Manad, Umanis research & Innovation, France (Chair) ?Tarek Menouer, Umanis research & Innovation, France (Chair) ?Larbi Boubchir, University of Paris 8, France ?Samir Ouchani, LINEACT/CESI Group, Aix-en Provence, France *Program Committes * ?Elhadj Benkhelifa, Staffordshire University, UK ?Wanying(Alice) Ding, Drexel University, Philadelphia, Pennsylvania, USA ?Larbi Boubchir, University of Paris 8, France ?Abdellah Mokrane, University of Paris 8, France ?Sara Rodr?guez Gonz?lez, Bisite Research Group, University of Salamanca, Spain ?Nitin Sukhija, Slippery Rock University of Pennsylvania, USA ?Otman Manad, Umanis research & Innovation, France ?Tarek Menouer, Umanis research & Innovation, France ?Samir Ouchani, LINEACT/CESI Group, Aix-en Provence, France ?Abdeltawab Hendawi, University of Rhode Island, Kingston, Rhode Island, USA ?Oussama Mounnan, ENSA Cadi Ayyad University, Marrakech, Morocco ?Mohamed El-Amine Brahmia, CESI Group, Strasbourg, France Please send any inquiry on AIEC 2020 to the Emerging Tech. Network Team at: _emergingtechnetwork at gmail.com _ -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor-HDR LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Thu Feb 27 18:13:31 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 28 Feb 2020 00:13:31 +0100 Subject: Connectionists: CfPs - Track 4: Information Systems and Technologies within FedCSIS'2020 In-Reply-To: <98704cb0-75f6-d1aa-42f6-1bf8ca130b0e@ibspan.waw.pl> References: <98704cb0-75f6-d1aa-42f6-1bf8ca130b0e@ibspan.waw.pl> Message-ID: image ** *Track 4: Information Systems and Technologies * *within FedCSIS* *https://fedcsis.org/2020/ist* ** *Bulgarian Academy of Sciences, Sofia, Bulgaria* *06-09 September 2020* ** We would like to cordially invite you to participate in the *Track 4: Information Systems and Technologies * (IST?2020) within *https://fedcsis.org/202*0/ (FedCSIS?2020) which will be held on September 06-09, 2020 in Sofia (Bulgaria). *Our track includes the following four technical sessions:* image *Advances in Information Systems and Technologies AIST?2020* ** *https://fedcsis.org/aist* *AIST?2020* constitutes a global forum for researchers and practitioners to present and discuss the recent research on information systems and technologies for business, governments, and society. AIST invites papers covering the most recent innovations, current trends, professional experiences and new challenges in the several perspectives of information systems and technologies, i.e. design, implementation, stabilization, continuous improvement, and transformation. It seeks new works from researchers and practitioners in business intelligence, big data, data mining, machine learning, cloud computing, mobile applications, social networks, internet of thing, sustainable technologies and systems, blockchain, etc. *The main topics covered are:* * Advanced information systems and technologies for business; * Advanced information systems and technologies for governments; * Advanced information systems and technologies for education; * Advanced information systems and technologies for healthcare; * Advanced information systems and technologies for smart cities; and * Advanced information systems and technologies for sustainable development. **Opis: logo ISM - biale tlo *Information Systems Management ISM?2020* *https://fedcsis.org/ism* *ISM?2020 *constitutes a forum for the exchange of ideas for practitioners and theorists working in the broad area of information systems management in organizations. This session invites papers coming from two complimentary directions: management of information systems in an organization, and uses of information systems to empower managers. It is interested in all aspects of planning, organizing, resourcing, coordinating, controlling and leading the management function to ensure a smooth operation of information systems in an organization. Moreover, the papers that discuss the uses of information systems and information technology to automate or otherwise facilitate the management function are specifically welcome. *The main topics covered are:* * Management of Information Systems in an Organization; * Uses of Information Systems to Empower Managers; and * Information Systems for Sustainability. ** *2^nd Special Session on Data Science in Health, Ecology and Commerce DSH'2020* *https://fedcsis.org/2020/dsh* *DSH'2020 * is a forum on all forms of data analysis, data economics, information systems and data based research, focusing on the interaction of those four fields. It embraces a rich array of issues on data science and offer a platform for research from diverse methodological directions, including quantitative empirical research as well as qualitative contributions. We welcome research from a medical, technological, economic, political and societal perspective. **The main topics covered are:** * Data analysis in health, ecology and commerce; * (Health) Data management; * Health economics; * Data economics and data integration; * Semantic and AI based data analysis; * Data based health service research; * Smart service engineering; * Integrating data in integrated care and AI in integrated care; * Spatial health economics; * Risk adjustment and predictive modelling; and * Privacy in data science. **** *26th Conference on Knowledge Acquisition and Management KAM?2020* *https://fedcsis.org/2020/kam* ** *KAM?2020 *aims to to create possibility of presenting and discussing approaches, techniques and tools in the knowledge acquisition and other knowledge management areas with focus on contribution of artificial intelligence for improvement of human-machine intelligence and face the challenges of this century. We expect that the conference&workshop will enable exchange of information and experiences, and delve into current trends of methodological, technological and implementation aspects of knowledge management processes **The main topics covered are:** * Knowledge creation, validation, discovery, and acquisition; * Knowledge dynamics and machine learning; * Distance learning and knowledge sharing; * Knowledge representation models; * Knowledge managers and workers; * Knowledge coaching and diffusion; * Knowledge engineering and software engineering; * Knowledge grid and social networks; * Knowledge management for design, innovation and eco-innovation process; * Business Intelligence environment for supporting knowledge management; * Knowledge management in virtual advisors and training; and * Human-machine interfaces and knowledge visualization. *Paper submission, publication and indexation:* * Papers acceptance and publication category (regular, posiotion, short) will be judged based on their relevance to the conference theme, clarity of presentation, originality and accuracy of results and proposed solutions. * *Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science, Scopus and other indexing services*. * Papers presented during the conference will be submitted for inclusion by *IEEE Xplore Digital Library proceedings* (ISBN and IEEE Catalog number) under a nonexclusive copyright, thus further publication of extended papers are possible. Conference proceedings will be submitted for indexation to BazEkon, Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. * Extended versions of high-marked papers presented at ?ISM?2015, ISM?2016, ISM?2017, ISM'2018, and ISM?2019 have been published with *Springer *in volumes of Lecture Notes in Business Information Processing: *LNBIP 243* , *LNBIP 277* , and *LNBIP 311* , *LNBIP 346 *, and *LNBIP 380*(in print). * Extended and revised versions of high-marked papers presented at *Track4: IST?2020* *will be fast tracked for publication in the* *Lecture Notes in Business Information Processing series *(Springer). *Important Dates/Deadlines:* * Submission Deadline of complete papers: *May 15, 2020 (There will be no extension of deadline. **Downward clock has been placed on the conference WWW site. It will expire on May 15, 2020 at midnight Hawaii time)* * **Position paper submission: *June 09, 2020* * **Acceptance decision: *June 30, 2020* * **Final version of paper submission: *July 15, 2020* * **Final deadline for discounted fee: *August 01**, 2020* *On behalf of Chairs of? IST Track and Chairs of Sessions:* Ewa Ziemba, University of Economics in Katowice, Poland -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image[1].png Type: image/png Size: 76717 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image[3].png Type: image/png Size: 18733 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 3569 bytes Desc: not available URL: From fabio.bellavia at unifi.it Fri Feb 28 07:18:19 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Fri, 28 Feb 2020 13:18:19 +0100 Subject: Connectionists: Call for Papers - ICPR2020 workshop on "Fine Art Pattern Extraction and Recognition" (FAPER2020) In-Reply-To: References: Message-ID: <3f525043-5e99-9825-6458-2213621761b7@unifi.it> ???????????????????? Call for Papers -- FAPER2020 ??????????? ---===== Apologies for cross-postings =====--- ?????????? Please distribute this call to interested parties _______________________________________________________________________ ?International Workshop on Fine Art Pattern Extraction and Recognition ????????????????????????? F A P E R?? 2 0 2 0 ??????????????????? workshop in conjunction with the ??? 25th International Conference on Pattern Recognition (ICPR2020) ????????????????? Milan, Italy, September 13-18, 2020 ???????? >>> https://sites.google.com/view/faper-workshop/ <<< ????????????? *** Submission deadline: June 15, 2020 *** - Submission link: https://easychair.org/conferences/?conf=faper2020 - _______________________________________________________________________ === Aim & Scope === Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. The aim of the workshop is to provide an international forum for those who wish to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. The workshop solicits contributions from diverse areas such as pattern recognition, computer vision, artificial intelligence and image processing. === Topics === Topics of interest include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products or prototypes for cultural heritage restoration, preservation and fruition === Submission guidelines === 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. Authors of selected papers will be invited to extend and improve their contributions for a Special Issue of the Journal of Imaging (MDPI). === Important Dates === -? June 15th 2020 - workshop submission deadline -? July 15th 2020 - author notification -? July 30th 2020 - camera-ready submission -? Aug. 15th 2020 - finalized workshop program - Sept. 18th 2020 - workshop day === Organizing committee === Gennaro Vessio (University of Bari, Italy) Giovanna Castellano (University of Bari, Italy) Fabio Bellavia (University of Palermo, Italy) === Venue === The workshop will be hosted at Milan Congress Center (Mi.Co.), which is located in Piazzale Carlo Magno 1, Milan, Italy. _________________________________________________________ ?Contacts: gennaro.vessio at uniba.it ?????????? giovanna.castellano at uniba.it ?????????? fabio.bellavia at unipa.it ?Workshop: https://sites.google.com/view/faper-workshop/ ?ICPR2020: https://www.micc.unifi.it/icpr2020/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dyyeung at cse.ust.hk Fri Feb 28 09:37:44 2020 From: dyyeung at cse.ust.hk (Dit-Yan Yeung) Date: Fri, 28 Feb 2020 14:37:44 +0000 Subject: Connectionists: HKUST(GZ): Founding Faculty in the Information Hub Message-ID: <6C834F22-C766-4A9E-9F99-037E5A0C0506@cse.ust.hk> The Hong Kong University of Science and Technology (Guangzhou Campus) Founding Faculty in the Information Hub The Hong Kong University of Science and Technology (HKUST) invites applications for founding faculty positions in Artificial Intelligence (AI) for its new campus in Guangzhou (GZ). HKUST(GZ) is interested in candidates at all ranks with a demonstrated ability to pursue high-impact research in AI and its applications. We specifically look for candidates interested in applied AI research, and are able to collaborate closely with domain experts in the target application areas to develop transformative technologies using AI. The initial focus areas include, but are not limited to, AI in design, AI in finance, AI in manufacturing, AI in medicine, AI in security and privacy, and AI in smart living. We welcome senior candidates to apply, especially those who can help with the strategic development of the AI trust area for the new Guangzhou campus. Remuneration HKUST(GZ) offers highly competitive salary of international standard and will be commensurate with qualifications and experience. Generous research funds, ample laboratory space and excellent research equipment and support will be provided. Housing allowances will also be provided. Application Procedure Applications should be sent to > together with (i) full CV; (ii) a statement of research, teaching, and service; (iii) up to five most representative publications in PDF formats; (iv) record of teaching performance (if any); and (v) names and contact information of three referees. Applications will be evaluated as soon as they are received, and will receive full consideration until positions are filled. About the Information Hub The HKUST(GZ) Information Hub focuses on addressing global challenges arising from human interactions with information and technology in an era of digital transformation. The Hub is mainly comprised of four thrust areas: Artificial Intelligence, Data Science and Analytics, Future Communication Networks, and Digital Media and Arts. We have also established an Internet of Things (IoT) division focused on technology transfer and industrial projects. In each of these areas, we are committed to providing a world-class education and conducting cutting-edge research with practical applications, with the purpose of not only advancing regional development but also making a global impact. About HKUST Guangzhou Campus [https://gz.ust.hk/] HKUST(GZ) offers a unique educational environment with four transdisciplinary hubs and 16 thrust areas. HKUST(GZ) offers superb research facilities, attracting top international faculty and students to conduct curiosity-driven and goal-oriented research to address the world?s pressing scientific and technological challenges. HKUST(GZ) is situated in Nansha District, Guangzhou, which is right in the center of the Greater Bay Area, one of the most vibrant and dynamic regions in the world, neighboring Shenzhen, Hong Kong, and Macao. It is about 30 minutes away from Hong Kong by high-speed train. The new campus is under construction and is planned to open in 2022. The successful candidate may start working on the Clear Water Bay campus in Hong Kong before the new campus is completed. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: HKUST GZ Info Hub AI Hiring Ad.pdf Type: application/pdf Size: 88794 bytes Desc: HKUST GZ Info Hub AI Hiring Ad.pdf URL: From fabio.bellavia at unifi.it Fri Feb 28 07:18:21 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Fri, 28 Feb 2020 13:18:21 +0100 Subject: Connectionists: VISMAC 2020 PhD Summer School Message-ID: <54d32814-93d4-c800-ca0d-7df61299e451@unifi.it> ????????????? Call for Participation - VISMAC2020 ????? ---===== Apologies for multiple posting =====--- ????? Please distribute this call to interested parties ______________________________________________________________ ???????????? V I S M A C (VISione delle MACchine) ??????????????? [in English, "Machine Vision"] ???????????????? international summer school ???????? September 29th - 2nd October, Palermo, Italy ????????? >>> https://math.unipa.it/~vismac2020/ <<< ______________________________________________________________ === Aim & Scope === The international summer school VISMAC "VISione delle MACchine" (in English, "Machine Vision") is organized every two years by the "Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning" (CVPL - ex-GIRPR) affiliated to International Association for Pattern Recognition (IAPR). It represents a stimulating opportunity for doctoral students, young researchers from universities, research institutions and industry. The primary objective of the Summer School is to provide a common scientific and cultural background on the subjects of computer vision and pattern recognition. This edition of VISMAC will mainly focus on four renowned research topics: Bio-imaging, Automotive, Culture Heritage, Image forensics. === List of Speakers === Bio-imaging - Carlo Sansone, UNINA Federico II - Elena Casiraghi, UNIMI - Paolo Soda, UCBM - Francesco Tortorella, UNISA Automotive - Alberto Broggi, UNIPR - Sergio Saponara, UNIPI - Roberto Vezzani, UNIMORE - Alessandro Rizzi, UNIMI Culture Heritage - Gabriele Guidi, POLIMI - Carlo Colombo, UNIFI - Andrea Fusiello, UNIUD - Francesca Odone, UNIGE Image forensics - Francesco De Natale, UNITN - Gian Luca Marcialis, UNICA - Luisa Verdoliva, UNINA Federico II - Jerian Martino, Amped Software === Registration === Early registration fee (by May 31, 2020): - CVPL members: 500 euros - non CVPL members: 550 euros Late registration fee: - CVPL members: 600 euros - non CVPL members: 650 euros The fee includes: - accomodation in double or triple rooms (possible supplement for single rooms). - social dinner - coffee breaks - learning materials School registrations are limited to fourty participants, on a FIFS basis. Registration instructions will come soon. Accepted students can submit a poster to present their research activity. The best poster selected by the school committee will receive a prize sponsored by CVPL. Poster guidelines will be available soon. === Scientific Committee === Domenico Tegolo, UNIPA ?Cesare Valenti, UNIPA Roberto Pirrone, UNIPA ?Filippo Stanco, UNICT === Local Committee === Marco E. Tabacchi, UNIPA ?? Fabio Bellavia, UNIPA === Sponsors === - CVPL - Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning (CVPL - ex-GIRPR) - Universita' degli Studi di Palermo - Universita' degli Studi di Catania - CTC - Centro Interdipartimentale di Tecnologie della Conoscenza, Universita' degli Studi di Palermo - DMI - Dipartimento di Matematica e Informatica, Universita' degli Studi di Palermo ______________________________________________________________ ?Contacts ? https://math.unipa.it/~vismac2020 ? vismac2020 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From mycolleagues at mailman.ufsc.br Tue Feb 25 02:57:38 2020 From: mycolleagues at mailman.ufsc.br (MIDAS Lab IIIT Delhi via Mycolleagues) Date: Tue, 25 Feb 2020 13:27:38 +0530 Subject: Connectionists: [Mycolleagues] IEEE BigMM 2020, New Delhi, India: Call for Papers (Deadline: 15 April) In-Reply-To: References: Message-ID: Dear Colleagues ********************************************************** Submission Deadline: 15 April 2020 PST ********************************************************** Consider submitting your papers to the IEEE BigMM 2020. Kindly share the CFP with others who may wish to submit papers to IEEE BigMM 2020, which will be held at Jawaharlal Nehru University (JNU), New Delhi, in collaboration with Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi). ------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of the CFP. ------------------------------------------------------------------------ CALL FOR PAPERS Webpage: http://bigmm2020.org/index.php/calls-for-submission/call-for-papers Submission Instruction: http://bigmm2020.org/index.php/authors/submission-instructions Submission Link: https://easychair.org/conferences/?conf=bigmm2020 The Sixth IEEE International Conference on Multimedia Big Data (BigMM 2020) September 24-26, 2020 Jawaharlal Nehru University New Delhi, India http://bigmm2020.org/ Multimedia is increasingly becoming the ?biggest big data?. It is the most important and valuable source for insights and information as it covers everyone?s experiences and is about everything that is happening in the world. As such, multimedia big data is spurring on a tremendous amount of research and development of related technologies and applications. The IEEE International Conference on Multimedia Big Data (BigMM), jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing) and IEEE-TCSEM (Technical Committee on Semantic Computing), is a world?s premier forum of leading scholars in the highly active multimedia big data research, development and applications. The sixth BigMM conference is jointly hosted by the Jawaharlal Nehru University (JNU) and Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), will be held in JNU, New Delhi from September 24 to 26 in 2020. The conference aims to bring together researchers from different areas and solicits high-quality original research papers relevant in any aspect of multimedia big data but not limited to the following broad themes: Multimedia and User Engagement - Social media mining; affective computing - Multimedia search; ranking; summarization - Multimedia recommendation systems - Security and privacy Multimedia Experience - Human-computer interactions, visualization, and navigation - Digital humanities; arts; storytelling - Multimedia applications; multimodal interactions and interfaces Multimedia and Big Data Content Understanding - Multimodal integration and alignment - Vision and language; audio/visual processing - Large scale multimodal content (image/audio/video) understanding and processing Multimedia Systems - Large scale multimedia systems and middleware - Transport and delivery - Large scale multimedia systems and middleware - Green computing; resource-efficient multimedia and big data computing SUBMISSIONS - Regular Full Papers: Authors are invited to submit a full paper (two-column 8 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Regular Short Papers: Authors are invited to submit a regular paper (two-column 4 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Industry Papers: Authors are invited to submit an industry paper (two-column 8 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Student Consortium Papers: Authors are invited to submit a student consortium paper (two-column 4 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Technical Demo Papers: Authors are invited to submit a technical demonstration paper (two-column 4 pages of content excluding references of maximum 2 pages) according to the guidelines available on the BigMM 2020 website. - Multimedia Grand Challenge Papers: Authors are invited to submit a multimedia grand challenge paper (two-column 4 pages of content excluding references of maximum 2 pages) for your solution according to the guidelines available on the BigMM 2020 website. - Workshops Papers: Authors are invited to submit a workshop paper (two-column 8 pages of content excluding references of maximum 2 pages) according to the guidelines available on the workshop websites. These will focus on specific topics of the main conference. IEEE BigMM 2020 will showcase high quality oral and poster presentations as well as technical demo and grand challenge solution sessions. The review will be done by at least three reviewers. Best papers, posters, technical demos, and multimedia grand challenge solutions will be awarded at the conference. All papers in this conference will be included in the IEEExplore and indexed by EI. IMPORTANT DATES - Workshop/Grand Challenge Proposals Submission: Feb 29, 2020 - Workshop/Grand Challenge Proposal Acceptance Notification: March 15, 2020 - Round-1 Regular/Industry/Short Paper Submission: Feb 10, 2020 - Round-1 Regular/Industry/Short Paper Notification: March 15, 2020 - Round-2 Regular/Industry/Short Paper Submission: April 15, 2020 - Round-2 Regular/Industry/Short Paper Notification: May 31, 2020 - Demonstration/Student Consortium Paper Submission: April 30, 2020 - Demonstration/Student Consortium Paper Notification: May 31, 2020 - Workshop/Grand Challenge Paper Submission: May 15, 2020 - Workshop/Grand Challenge Paper Notification: June 15, 2020 - Camera-ready: June 20, 2020 - Registration Deadline: July 1, 2020 - Conference: September 24-26, 2020 You may check more details at http://bigmm2020.org, https://twitter.com/ieeebigmm, and https://www.facebook.com/ieeebigmm. -- Best regards MIDAS - Multimodal Digital Media Analysis Lab *"Where Research for Society is a Pleasure." * A-415, Level 4, New Academic Building, IIIT-Delhi, Okhla Industrial Estate Phase 3, Near Govindpuri Metro Station, Delhi - 110020. Phone: +91-11-26907495 Website: http://midas.iiitd.edu.in Twitter: https://twitter.com/midasiiitd Facebook: https://facebook.com/midasiiitd LinkedIn: https://linkedin.com/company/midasiiitd -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- ------------------------------------------------------- We love you. We are sorry. Please forgive us. Thank you. _______________________________________________ Mycolleagues mailing list Mycolleagues at mailman.ufsc.br https://mailman.ufsc.br/mailman/listinfo/mycolleagues - Through this links above you can "subscribe", "unsubscribe", or change your settings in the list. OR - Easy unsubscribe: https://mailman.ufsc.br/mailman/options/mycolleagues