From michael.zock at lis-lab.fr Wed Jan 1 15:02:16 2020 From: michael.zock at lis-lab.fr (Michael Zock) Date: Wed, 1 Jan 2020 21:02:16 +0100 Subject: Connectionists: CogALex, 1st cfp (COLING-2020, Barcelona) Message-ID: Apologies for cross-postings, and, happy new year! ================================================================================ CogALex-VI, a Workshop on "Cognitive Aspects of the Lexicon" Co-located with COLING 2020 (https://sites.google.com/view/cogalex-2020/home) ================================================================================ Call for Papers ** ***CogALex* *Cog*nitive*A*spects**of the*Lex*icon *Workshop*co-located with *COLING* (28th International Conference on Computational Linguistics), Barcelona, Spain, *September 13, 2020 * Paper submission deadline: May 14, 2020 deadline for shared-task papers : May 20, 2020 For latest information always look here https://sites.google.com/view/cogalex-2020 *1 Background * Supporting us in many tasks (/thinking, searching/, /memorizing/ and /communicating)/ words are important. Hence, one may wonder how to build tools supporting their learning and usage (access/navigation). Alas the answer is not quite as straightforward as it may seem. It depends on various factors: the questioner's /background/ (lexicography, psychology, computer science), the /task /(production/reception), and the /material support/ (hardware). Words in books, computers and the human brain are not the same. Obviously, being aware of this, different communities have focused on different issues ?(dictionary building; creation of navigational tools; representation and organization of words; time course for accessing a word, etc.)? yet, ?their views and ?respective goals have changed considerably over time. Rather than considering the lexicon as a static entity, where discrete units (words) are organized alphabetically (database view), dictionaries are now viewed dynamically, i.e., as lexical graphs, whose entities are linked in various ways (topical relations; associations) and whose weight links may vary over time. While lexicographers view words as products (holistic entities), psychologists and neuroscientists view them as processes (decomposition), involving various steps or layers (representations) between an input and an output. Computational linguists have their own ways to look at words, and their proposals have also changed quite a bit during the last decade./Discrete count-based vector representations /have successively been replaced by /continuous vectors/ (i.e., word embeddings) and then by /language-model-based contextualized representations/. These latter are more powerful than any of the other forms, as they are able to account for context ambiguity, outperforming the static models (including word-embeddings) in a broad range of tasks. As one can see, different communities look at words from different angles, which can be an asset, as complementary views may help us to broaden and deepen our understanding of this fundamental cognitive resource. Yet, this diversity of perspectives can also a problem, in particular if the field is rapidly moving on, as in our case. Hence it becomes harder and harder for everyone, including experts, to remain fully informed about the latest changes (state of the art). This is one of the reasons why we organize this workshop. More precisely, our goal is not only to keep people informed without getting them crushed by the information glut, but also to help them to perceive clearly what is new, relevant, hence important. Last, but not least, we would like to connect people from different communities in the hope that this may help them to gain new insights or inspirations. *2 Scope and Topics* This workshop is about possible /enhancements/ of /lexical resources/ (representation, organization of the data, etc.). To allow for this we invite researchers to submit their contributions. The idea is to discuss the limitations of existing resources and to explore possible enhancements that take into account the users? and the engineers' needs (computational aspects). Also, just like in the past we propose again a 'shared task'. This time the goal is to provide a common benchmark for testing lexical representations for the automatic identification of lexical semantic relations (synonymy, antonymy, hypernymy, part-whole meronymy) in various languages (English, Chinese, and so on). For this workshop we solicit papers including but not limited to the following *topics*, each of which can be considered from various points of view: /linguistics /(lexicography, computational- or corpus linguistics), /neuro/- or /psycholinguistics/ (tip-of-the-tongue problem, word associations), /network/-related sciences (vector-based approaches, graph theory, small-world problem), and so on. 1??? Organization, i.e. structure of the lexicon ????? Micro- and macrostructure of the lexicon; ????? Indexical categories (taxonomies, thesaurus-like topical structures, etc.); ????? Map of the lexicon (topology) and relations between words (word associations). 2??? The meaning of words and how to reveal it ???? Lexical representation (holistic, decomposed); ???? Meaning representation (concept based, primitives); ???? Distributional semantics (count models, neural embeddings, etc. ) 3??? Analysis of the conceptual input given by a dictionary user ???? What information do language producers typically provide when looking for a word (terms, relations)? ???? What kind of relational information do they give: typed or untyped relations? ???? Which relations are typically used? 4??? Methods for crafting dictionaries or indexes ???? Manual, automatic or collaborative building of dictionaries and indexes (crowdsourcing, serious games, etc.); ???? Extraction of associations from corpora to build semantic networks supporting navigation; ???? (Semi-) automatic induction of the link type (e.g., synonym, hypernym, meronym, ...). 5??? Creation of new types of dictionaries ???? Concept dictionary; ???? Dictionary of larger segments than words (clauses, phrasal elements); ???? Dictionary of patterns or concept-patterns; ???? Dictionary of syllables. 6??? Dictionary access (navigation and search strategies), interface issues ???? Search based on sound (rhymes), meaning or contextually related words (associations); ???? Determination of appropriate search space based on the user?s cognitive state (information available at the onset: query) and meta-knowledge (knowledge concerning the relationship between the input and the target word), ... ???? Identification of typical word access strategies (navigational patterns) used by people; ???? Interface problems, data visualization. *3 ?Workshop Submissions* ** The workshop features two tracks: * A*regular research track*, where the submissions must be substantially original. * A *shared task track*, with submissions consisting of system description papers. The regular research track submissions should follow one of the 2 formats: * *Long papers*(9 content pages + references) should report on solid and finished research including new experimental results, resources and/or techniques. * *Short papers*(4 content pages + references) should report on small experiments, focused contributions, ongoing research, negative results and/or philosophical discussion. Submissions must be anonymized, conform to the style sheet of COLING (https://coling2020.org/pages/call_for_papers), and be submitted via their website (https://www.softconf.com/coling2020/CogALex/ ). While some papers may be accepted only as posters, in the proceedings no distinction will be made between them and full papers. *4 Important Dates* *Workshop papers* * Paper *submission deadline*: May 14, 2020 * Notification of acceptance: June 24, 2020 * ?Camera-ready papers due: July 11, 2020 * Workshop date: September 13, 2020 * **Shared task* * Release of development data : March 1, 2020 * Release of test data April: 20-24, 2020 * Announcement of winners May 1, 2020 * Shared task papers due: May 20, 2020 *5 Invited Speaker*** //*Alex Arenas*//(http://deim.urv.cat/~alexandre.arenas/ ) Alephsys Lab, Computer Science & Mathematics, Universidad Rovira i Virgili, 43007 Tarragona, Spain *6 Workshop Organizers* * Michael Zock (LIS, CNRS, Aix-Marseille University, Marseille, France) * Alessandro Lenci (Comput. Linguistics Laboratory, University of Pisa, Italy) * Enrico Santus (MIT Computer Science & AI Lab, Boston, USA) * Emmanuele Chersoni (Hong Kong Polytechnic University, Hong Kong, China) * 7 Program Committee* see : https://sites.google.com/view/cogalex-2020/home/programme-committee** *8 Contacts* For *general questions*, please get in touch with /Michael Zock/ e-mail:michael.zock at lis-lab.fr Homepage: http://pageperso.lif.univ-mrs.fr/~michael.zock/ Concerning the*shared task*,**please contact* * Enrico Santus ??? ??? ??? ??? (esantus at gmail.com ), or Emmanuele Chersoni ??? (emmanuelechersoni at gmail.com ) ---------------------------------------- Michael ZOCK Directeur de Recherche ?m?rite LIS UMR CNRS 7020 (Groupe TALEP) Aix Marseille Universit? 163 Avenue de Luminy - case 901 F-13288 Marseille/France Mail: michael.zock at lis-lab.fr Tel.:? +33 (0)4.86.09.06.85 Secr.: +33 (0)4.86.09.04.60 ??? ?? +33 (0)4.86.09.06.75 http://pageperso.lif.univ-mrs.fr/~michael.zock/ ------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Thu Jan 2 20:59:22 2020 From: doya at oist.jp (Kenji Doya) Date: Fri, 3 Jan 2020 01:59:22 +0000 Subject: Connectionists: Staff Scientist/Postdoctoral Scholar, Neural Computation Unit, Okinawa Institute of Science and Technology Message-ID: <032B9E52-5597-4F5B-8BBE-443234628DD9@oist.jp> A happy new year! We are looking for a staff scientist or postdoctoral scholar at Neural Computation Unit, lead by Prof. Kenji Doya, Okinawa Institute of Science and Technology (OIST) Graduate University. The dual aims of Neural Computation Unit are to understand the brain?s learning mechanisms and to develop brain-inspired computing frameworks. A candidate should have a strong background in mathematics, computer science and/or machine learning, and a keen interest in understanding how the brain works. A staff scientist should have at least three years of postdoctoral research experience and be willing to support fellow researchers and students. OIST offers an excellent interdisciplinary research environment in its campus overlooking beautiful coral reefs. Competitive salary is offered based on the candidate?s experience. OIST is an equal opportunity, affirmative action employer and provides strong support for its staff and family members coming from abroad. Applicants should send a CV, publication list, statement of research, and contact information of three referees to Prof. Kenji Doya . Relevant links: OIST Neural Computation Unit: https://groups.oist.jp/ncu AI and Brain Science Project : http://www.brain-ai.jp Brain/MINDS Project: https://brainminds.jp/en/research/research11062 Toward evolutionary and developmental intelligence: https://doi.org/10.1016/j.cobeha.2019.04.006 ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From george at cs.ucy.ac.cy Thu Jan 2 10:37:08 2020 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Thu, 2 Jan 2020 17:37:08 +0200 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): Sixth Call for Papers In-Reply-To: <3B0772ED-79F5-403B-BD82-EB590F88E384@cs.ucy.ac.cy> References: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> <79C642E7-A715-4967-A66F-89971448CA26@cs.ucy.ac.cy> <3B0772ED-79F5-403B-BD82-EB590F88E384@cs.ucy.ac.cy> Message-ID: <9D0CC385-D088-4584-A0F2-32D0387AC308@cs.ucy.ac.cy> *** Sixth Call for Papers *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://rcis-conf.com/ Abstract submission deadline: January 20, 2020 Paper submission deadline: January 27, 2020 (AoE) (Proceedings to be published by Springer; Special Issue in DKE, Elsevier) SCOPE AND TOPICS RCIS aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination. RCIS 2020 will continue paying attention to traditional topics at the conference; in addition, we solicit submissions aligned the special theme of Information Science in the Days of Artificial Intelligence. We understand AI in a broad sense, including machine learning, self-adaptation, logic-based reasoning, automation, agents and multiagent systems, natural language processing, etc. RCIS welcomes submissions from the whole spectrum of the information science field. The list of themes and topics includes, but is not limited to: Information Systems and their Engineering ? Requirements Engineering ? Software Testing ? Information Security and Risk ? Method Engineering User-Oriented Approaches ? Social Computing and Social Network Analysis ? User-Centred Design ? Collaborative Computing ? Human Factors in Information Systems Data and Information Management ? Databases and Information ? Information Search and Discovery ? Conceptual Modelling and Ontologies Business Process Management ? Business Process Engineering and Reengineering ? Process Mining ? Enterprise Engineering Domain-specific IS Engineering ? E-Health, e-Government, e-Commerce, ? ? Industry 4.0 ? Web-Based Applications and Services ? Smart Cities Data Science ? Big Data & Business Analytics ? Decision Information Systems ? Knowledge Management ? Knowledge Discovery from Data Information Infrastructures ? Cyber-Physical Systems ? Web Information Systems ? Grid Computing and Cloud Computing ? Internet of Things ? Pervasive and Mobile Computing Reflective Research and Practice ? Research Methodologies in Information Science ? Impact of Information on the Enterprise and the Individual ? Lifecycle Models ? Design Science and Rationale Tutorials, Doctoral Consortium, Posters & Demos will complement the main conference. SUBMISSION PROCESS Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Papers that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2020. Papers should be in English and must be associated to one of the following categories: Technical solution papers (max 16 pages Springer) present solutions that are novel or significantly improve existing approaches. A technical solution paper must include a preliminary validation of the proposed solution, and results must be stated clearly enough so that it is possible to validate them in follow-up research. Evaluation papers (max 16 pages Springer) evaluate existing problem situations or validate proposed solutions through scientific means, i.e., by empirical studies, experiments, case studies, simulations, mathematical proofs, etc. The research method must be sound and appropriate. Industrial practice and experience papers (max 16 pages Springer) thoroughly present problems or challenges encountered in practice, elaborate on success or failure with existing approaches, or report on industrial practice (e.g., methods and tools). A paper in this category shall provide a clear context, detail the problem or the industrial practice, and explain the lessons learned. Work in progress papers (max 8 pages Springer) present relevant preliminary results across the spectrum of information science. These papers can either present a novel technical solution, or report on a preliminary evaluation of a technique. Please note that the maximum length of the paper includes references, appendices, etc. The submission site is https://www.easychair.org/conferences/?conf=rcis2020 . By submitting a paper, the authors agree that at least one of them will register to the conference and present the paper. The appearance of a paper in the Springer proceedings is dependent on the registration of one author within the early registration deadline on March 31, 2020. SPECIAL ISSUE A selection of the best accepted papers of RCIS?20, chosen by a dedicated committee, will be invited to submit an extended version of the RCIS paper to the Data & Knowledge Engineering (DKE) journal published by Elsevier (https://www.journals.elsevier.com/data-and-knowledge-engineering). The selection of the papers to invite will be based on the review scores and arguments, and the potential for extension. IMPORTANT DATES ? Regular paper submission deadline: January 27, 2020 (AoE) ? Notification to authors and registration opening: March 15, 2020 ? Author registration deadline for all paper types: March 31, 2020 ? Camera-ready copy deadline for all paper types: March 31, 2020 ? Conference: May 20-22, 2020 CONFERENCE COMMITTEES Steering Committee ? Sa?d Assar, Institut Mines-Telecom Business School, France ? Marko Bajec,University of Ljubljana, Slovenia ? Pericles Loucopoulos, Manchester University, University Kingdom ? Haralambos Moratidis, University of Brighton, United Kingdom ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France ? Oscar Pastor, Universitat Polit?cnica de Val?ncia, Spain ? Jolita Ralyt?, CUI, University of Geneva, Suisse ? Colette Rolland, Universit? Paris 1 Panth?on-Sorbonne, France General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Jelena Zdravkovic, Stockholm University, Sweden ? Fabiano Dalpiaz, Utrecht University, Netherlands Doctoral Consortium Chairs ? Raian Ali, Bournemouth University, United Kingdom ? Sergio Espa?a, Utrecht University, Netherlands Tutorial Chairs ? Estefania Serral Asensio, KU Leuven, Belgium ? Ignacio Panach, University of Valencia, Spain Posters & Demos Chairs ? Elena Kornyshova, Conservatoire National des Arts et M?tiers, France ? Marcela Ruiz, Zurich University of Applied Sciences, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Fri Jan 3 12:42:48 2020 From: nsmattei at gmail.com (Nicholas Mattei) Date: Fri, 3 Jan 2020 11:42:48 -0600 Subject: Connectionists: 2nd Call for Nominations: ACM SIGAI Autonomous Agents Research Award 2020 Message-ID: [Apologies for multiple postings.] Call for Nominations: ACM SIGAI Autonomous Agents Research Award 2020 Call as a PDF: https://rebrand.ly/AAAward2020 Nominations are solicited for the 2020 ACM SIGAI Autonomous Agents Research Award. This award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose **current work** is an important influence on the field. The award is an official ACM award, funded by an endowment created by ACM SIGAI from the proceeds of previous Autonomous Agents conferences. The recipient of the award will receive a monetary prize and a certificate, and will be invited to present a plenary talk at the AAMAS 2020 conference in Auckland, New Zealand. Previous winners of the ACM SIGAI Autonomous Agents Research Award are: Carles Sierra (2019), Craig Boutilier (2018), David Parkes (2017), Peter Stone (2016), Catherine Pelachaud (2015), Michael Wellman (2014), Jeff Rosenschein (2013), Moshe Tennenholtz (2012), Joe Halpern (2011), Jonathan Gratch and Stacy Marsella (2010), Manuela Veloso (2009), Yoav Shoham (2008), Sarit Kraus (2007), Michael Wooldridge (2006), Milind Tambe (2005), Makoto Yokoo (2004), Nicholas R. Jennings (2003), Katia Sycara (2002), and Tuomas Sandholm (2001). For more information on the award, see the Autonomous Agents Research Award page ( http://sigai.acm.org/awards/autonomous_agents_award.html) How to Nominate Anyone can make a nomination. Nominations should be made by email to the chair of the award committee, Stacy Marsella (stacymarsella at gmail.com), and should consist of a short (< 1 page) statement that emphasizes not only the research contributions that the individual has made that merit the award but also how the individual?s **current work** is an important influence on the field. NOTE: a candidate can only be considered for the award if they are explicitly nominated. If you believe that someone deserves the award, then NOMINATE THEM -- don't assume that somebody else will! Important Dates * 17 January 2020 -- Deadline for nominations * 7 February 2020 -- Announcement of winner * 9-13 May 2020 -- AAMAS-2020 conference in Auckland, New Zealand -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 402B +1 504 862 8391 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmasulli at e-nns.org Fri Jan 3 14:44:39 2020 From: pmasulli at e-nns.org (Paolo Masulli ENNS) Date: Fri, 3 Jan 2020 20:44:39 +0100 Subject: Connectionists: CfP 29th International Conference on Artificial Neural Networks ICANN 2020, Sept 15-18, Bratislava, SK Message-ID: <5afe252c-5626-b9de-3e0e-09b498e5527c@e-nns.org> 29th International Conference on Artificial Neural Networks ICANN 2020 https://e-nns.org/icann2020 *Bratislava, Slovakia** **15 - 18 September 2020* ============================================================ The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2020 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 29th ICANN Conference from the 15th to the 18th of September 2020 in Bratislava, Slovakia. *CONFERENCE TOPICS* ICANN 2020 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2020 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications Call for Special Sessions: ICANN2020 organizers cordially invite internationally recognised experts to organise Special sessions and workshops within the general scope of the conference. Special Session Proposal request should be sent to icann2020 at fmph.uniba.sk Call for Papers: Authors willing to present original contributions in either oral or poster category may submit: - A full paper of about 10-12 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of suggested 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be online. More details will be made available soon on the conference website: https://e-nns.org/icann2020/ *IMPORTANT DATES* Deadline for special sessions submission: 1 February 2020 Opening of contribution submissions: 1 February 2020 *Deadline for full papers and extended abstracts submission: 15 March 2020* Notification of acceptance: 1 May 2020 Camera-ready paper upload and registration opening: 1 June 2020 Deadline for early registration at discount rate: 15 June 2020 Conference dates: 15-18 September 2020 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* General Chairs: Igor Farka? (FMPI, Comenius University in Bratislava, Slovakia) ?ubica Be?u?kov? (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Juraj B?novsk? (FMPI, Comenius University in Bratislava, Slovakia), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) V?ra K?rkov?, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Publicity Chair: Krist?na Malinovsk? (FMPI, Comenius University in Bratislava, Slovakia) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS) -- Paolo Masulli ENNS -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat Jan 4 04:35:19 2020 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Sat, 4 Jan 2020 11:35:19 +0200 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): Fourth Joint Call for Tutorials, DC, Posters and Demos In-Reply-To: <6C08C3E3-C981-4628-8C66-0D35A4010EEB@cs.ucy.ac.cy> References: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> <2B91A57C-8095-40B9-954C-8B20428159A9@cs.ucy.ac.cy> <1BE051A2-07D0-4CFE-932E-663E775B4E1B@cs.ucy.ac.cy> <60CD78D6-5E07-416F-9516-43ABE16B1C2F@cs.ucy.ac.cy> <6C08C3E3-C981-4628-8C66-0D35A4010EEB@cs.ucy.ac.cy> Message-ID: <3922FAA1-80F2-4D6B-BD2E-73117657AEE5@cs.ucy.ac.cy> *** Fourth Joint Call for Tutorials, Doctoral Consortium, Posters and Demos *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://rcis-conf.com/ Submission deadline: February 14, 2020 (AoE) (Proceedings to be published by Springer) RCIS has become a recognized conference on research challenges in Information Science. Organized for the 14th time in a row, RCIS 2020 will be held from May 20-22, 2020, in Limassol, Cyprus. The topics of interest are organized into some major categories (more details in the call for papers http://www.rcis-conf.com/rcis2020/callPapers.php ): ? Information Systems and their Engineering ? User-Oriented Approaches ? Data and Information Management ? Business Process Management ? Domain-specific IS Engineering ? Data Science ? Information Infrastructures ? Reflective Research and Practice IMPORTANT DATES FOR ALL SATELLITE EVENTS ? Submission deadline for all paper types: February 14, 2020 (AoE) ? Notification to authors and registration opening: March 15, 2020 ? Author registration deadline for all paper types: March 31, 2020 ? Camera-ready copy deadline for all paper types: March 31, 2020 ? Conference: May 20-22, 2020 TUTORIALS Tutorials are intended to provide independent instruction (know-how) on a topic of relevance, no commercial or sales-oriented. Potential presenters should keep in mind that there might be a varied audience, including novice graduate students, seasoned practitioners, and specialized researchers. Tutorial speakers should be prepared to cope with this diversity. The conference has specific slots for tutorials. They will be organized in sessions of 90 minutes with a free format. Tutorials run in parallel with other conference tracks, and participation is included in the attendees? conference fee. We invite proposals for tutorials that may address one or more of the listed topics below, although authors should not feel limited by them. Tutorial proposals are limited to 5 pages in Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines ). Proposals must be submitted using the conference submission site (https://easychair.org/conferences/?conf=rcis2020 ), where you choose "RCIS2020 Tutorials". Instructions on the structure of a tutorial proposal can be found online: http://www.rcis-conf.com/rcis2020/tutorials.php . Tutorial Chairs ? Estefania Serral Asensio, KU Leuven, Belgium ? Ignacio Panach, University of Valencia, Spain DOCTORAL CONSORTIUM The RCIS 2020 Doctoral Consortium is an opportunity for doctoral students to present, discuss and develop their research project in an interdisciplinary workshop, under the guidance of a panel of senior researchers. The Doctoral Consortium offers nice opportunities for PhD students. Firstly, the feedback received during the Doctoral Consortium will really benefit students who have defined their topic, research plan and have obtained early results, but who still have room for improving their longer-term plan. Secondly, students at all stages of their doctoral project can meet the welcoming RCIS community and widen their network of contacts. The Doctoral Consortium has the following objectives: ? Provide a platform for students to present their work and to meet other peers and be familiar with different research topics and methods. ? Provide feedback on students' current research and guidance on future research directions. ? Promote the development of a supportive community of scholars and a spirit of collaborative research and networking. ? Contribute to the conference goals through interaction with other researchers. Interested PhD students are invited to submit papers, in agreement with their supervisors, addressing the instructions that are provided on the online call: http://www.rcis-conf.com/rcis2020/callDoctoral.php . Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Submissions must be written in English, and must be authored by the student only. The maximum length of the paper should be eight (8) pages, including references, appendices, etc. The submission site address is https://easychair.org/conferences/?conf=rcis2020 where you can choose "RCIS2020 Doctoral Consortium". Doctoral Consortium Chairs ? Raian Ali, Bournemouth University, United Kingdom ? Sergio Espa?a, Utrecht University, Netherlands POSTERS AND DEMOS The posters & demos track will showcase prototypes and new research ideas in Information Science. This track provides a forum for researchers and practitioners to present their work, interact with conference participants, and obtain feedback on on-going research. We invite two types of submissions: ? Posters are intended to convey a research result and are not advertisements for commercial software packages. While posters need not describe completed work, they should report on research for which at least some preliminary results are available. ? Demonstrations should directly and actively involve the exhibition and display of tools/prototypes and associated materials that illustrate research work in progress and serve as ground for discussion of research ideas. Posters and demonstrations proposals must be submitted as a single PDF file with no more than 6 pages in Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines ) including references and appendices. Proposals that exceed the limit of 6 pages will be rejected without review. Proposals that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2020. The submission site address is https://easychair.org/conferences/?conf=rcis2020 where you can choose "RCIS2020 Posters & Demos". More details on the submission and presentation format is online: http://www.rcis-conf.com/rcis2020/callPostersDemo.php . Posters & Demos Chairs ? Elena Kornyshova, Conservatoire National des Arts et M?tiers, France ? Marcela Ruiz, Zurich University of Applied Sciences, Switzerland CONFERENCE COMMITTEES General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Jelena Zdravkovic, Stockholm University, Sweden ? Fabiano Dalpiaz, Utrecht University, Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: From astrid.prinz at emory.edu Fri Jan 3 15:40:07 2020 From: astrid.prinz at emory.edu (Prinz, Astrid A) Date: Fri, 3 Jan 2020 20:40:07 +0000 Subject: Connectionists: Postdoctoral position in Computational Neuroscience, Emory University In-Reply-To: References: Message-ID: Postdoctoral position in computational neuroscience Prinz lab, Department of Biology, Emory University, Atlanta AVAILABLE IMMEDIATELY. Applications will be accepted until the position is filled. We are looking for a highly motivated postdoctoral researcher to model sympathetic neurons and circuits and their plasticity and homeostasis in the context of spinal cord injury. The position is part of an NIH-funded, collaborative research project with the Hochman lab at Emory?s Department of Physiology. The Prinz lab is embedded in a highly interactive research environment of multiple computational and experimental neuroscience labs in the Department of Biology, at Emory University, and in the wider Atlanta area neuroscience community. The ideal candidate has a strong background in neuroscience and computer modeling. Experience with electrophysiology is desirable, although not required. The position is available immediately. Further information on the lab is located at http://www.biology.emory.edu/research/Prinz/index.html. To apply, please submit a CV, description of research interests, and contact information for two references to astrid.prinz at emory.edu . Pre-application inquiries are also accepted at the same address. ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments). -------------- next part -------------- An HTML attachment was scrubbed... URL: From danish at mmmi.sdu.dk Fri Jan 3 13:27:23 2020 From: danish at mmmi.sdu.dk (Danish Shaikh) Date: Fri, 3 Jan 2020 18:27:23 +0000 Subject: Connectionists: [CFP] Call for Abstracts: Symposium on Advances in Neural Modelling of Multisensory Integration at the 20th International Multisensory Research Forum (IMRF) in Ulm, Germany, June 22-25, 2020 In-Reply-To: References: Message-ID: Dear colleagues, Happy New Year to you all! I am planning to organise a symposium on "Advances in Neural Modelling of Multisensory Integration" at the 20th International Multisensory Research Forum (https://cops.ifp.uni-ulm.de/imrf2020/index.php) hosted by Ulm University in Germany, June 22-25, 2020. The goal of this symposium to bring together researchers working on neural models of multisensory integration (MSI) via mathematical/computational/machine learning/AI approaches to present their work and to discuss promising future directions and applications. In this regard, I would like to request potential contributors to contact me at danish at mmmi.sdu.dk with a title and abstract (max. 250 words), latest by 19 January 2020. The symposium will allow for the presentation of abstracts as a 15-minute oral presentation with additional time for Q&A. Potential topics for abstract submissions to the symposium include (but are not limited to): * Mathematical/computational/machine learning/connectionist/AI approaches to modelling MSI * Single-neuron and/or network models of neural mechanisms underlying multisensory binding, cue combination, multisensory effects and developmental MSI * Neural plasticity, learning and memory models for MSI * Applications of MSI models IMPORTANT DATES: Title and abstract submission deadline: 19 January 2020 (Anywhere on Earth time - https://time.is/Anywhere_on_Earth) Notification of acceptance: TBA IMRF 2020 conference dates: 22-25 June 2020 IMRF 2020 VENUE: "Donauhalle" next to the Danube river in beautiful Ulm, Germany SYMPOSIUM ORGANISERS: Danish Shaikh, University of Southern Denmark (danish at mmmi.sdu.dk) Best regards Danish Shaikh Assistant Professor SDU Bioinspired Robotics, The Maersk Mc-Kinney Moller Institute T +45 65 50 95 26 danish at mmmi.sdu.dk University of Southern Denmark Campusvej 55 DK-5230 Odense M www.sdu.dk [http://cdn.sdu.dk/img/sdulogos/SDU_BLACK_signatur.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: From rsun at rpi.edu Sat Jan 4 15:21:56 2020 From: rsun at rpi.edu (Professor Ron Sun) Date: Sat, 4 Jan 2020 15:21:56 -0500 Subject: Connectionists: IEEE World Congress on Computational Intelligence: The paper submission deadline is January 15, 2020 Message-ID: <24989_1578171542_004Kx1JB025814_DE05C13A-1EB5-4B2E-AAFE-7A1EBF832095@rpi.edu> IEEE World Congress on Computational Intelligence 19-24 July 2020, Scottish Event Campus, Glasgow wcci2020.org IMPORTANT: The paper submission deadline is January 15, 2020 On behalf of the WCCI Organizing Committee, it is our great pleasure to invite you to the 2020 IEEE World Congress on Computational Intelligence. The 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) is the world's largest technical event in the field of computational intelligence. IEEE WCCI 2020 will host three flagship conferences under one roof : IJCNN - International Joint Conference on Neural Networks (cooperation between IEEE-CIS & INNS) FUZZ-IEEE - IEEE International Conference on Fuzzy Systems IEEE-CEC - IEEE Congress on Evolutionary Computation This encourages cross-fertilisation of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence. Important deadlines: 22Dec2019 [Special Session, Workshop, Tutotial, Competition] Proposals 15Jan2020 Paper submission 15Mar2020 Paper Acceptance Notification 15Apr2020 Final paper submission & Early registration 19-24Jul2020 Conference Dates Papers for IEEE WCCI 2020 should be submitted electronically using the Congress website www.wcci2020.org and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. Venue: IEEE WCCI 2020 will be held in Glasgow, Scotland, UK - one of Europe's most dynamic cultural capitals and the "World's Friendliest City" [Rough Guide 2015]. Steeped in culture, rich in history and alive with an excitement you can sense as you walk through its elegant Victorian streets, squares, parks and gardens. The Conference will be held at the prestigious Scottish Event Campus (SEC), which was a key venue for the 2014 Glasgow Commonwealth Games. -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.legenstein at igi.tugraz.at Sun Jan 5 13:26:16 2020 From: robert.legenstein at igi.tugraz.at (Robert Legenstein) Date: Sun, 5 Jan 2020 19:26:16 +0100 Subject: Connectionists: Open PhD and PostDoc positions in Spiking Neural Network Learning Message-ID: <981afb12-ccef-8ef9-5da2-c66a4f2e0cc0@igi.tugraz.at> The Lab of Robert Legenstein at TU Graz is offering funded PhD and PostDoc positions in the area Deep Learning in Spiking Neural Networks for Neuromorphic and Memristive Hardware. A background in Deep Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. Successful candidates will work on learning algorithms for spiking neural networks in the interdisciplinary consortium of one of two projects: a) SYNCH (EU): We collaborate with Hardware experts who will implement the developed algorithms in cooperation with our team in a spiking neural network chip. The chip will be applied to various tasks within a brain-silicon hybrid system such as the classification of recorded brain network states. (see https://synch.eucoord2020.com/ for a description) b) SMALL (Chist-Era) We will develop learning algorithms for spiking neural networks and collaborate with experts for neuromorphic and memristive hardware with the goal to implement proof-of-concept ultra-low-power machine learning solutions. (see https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/ for a brief description). Please send your application including a CV, any prior thesis and/or work by 31. Jan 2020 to robert.legenstein at igi.tugraz.at Dr. Robert Legenstein Institute Head Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ---------------------------------- From alex.frid at gmail.com Sun Jan 5 15:27:45 2020 From: alex.frid at gmail.com (Alex Frid) Date: Sun, 5 Jan 2020 22:27:45 +0200 Subject: Connectionists: CFP Special Session on "Neurocomputation and Cognition" WCCI-IJCNN 2020 Message-ID: *Special Session on "Neurocomputation and Cognition"* 2020 IEEE International Joint Conference on Neural Networks - World Congress on Computational Intelligence (IJCNN-WCCI) July 19-24 2020, Glasgow, UK *Important Dates:* Paper submission: 15 January 2020 Notification of acceptance: 15 March 2020 *Aims and Scope:* The field of neurocomputation is concerned with the possibility of computation in computers by following the paradigm and analysis of computation that occurs in neurons and the brain. In recent years this has resulted in breakthroughs in pattern recognition, machine learning theory, clustering, associative memory and fault tolerant computation. Consequently, the precision resulting from the computational and mathematical viewpoint has led to insights helping to clarify aspects of one of the ultimate human research endeavors: understanding the manner in which human thought emerges from the organization of the human brain. A session on this topic was presented in Rio de Janeiro IJCNN 2018 and was very successful. Extended papers developed from this session have been submitted to a special issue of the veteran journal Annals of Mathematics and Artificial Intelligence and this issue is scheduled to appear early in 2020. We will again look into the possibility of another special issue with an established veteran journal. *Topics:* The special session invites submissions in any of the following (and related) areas: - Neurocomputation techniques as related to human cognitive issues - Neurocomputational Models of Embodied Natural Language Processing - Understanding brain information processing underlying real-world tasks. - Validation of cognitive models using machine learning methods - Computational Biomarkers for Diseases - Computational Biomarkers for Cognitive Activity - Neurocomputational and Architectural Models of Creativity - Use of Neurocomputation and Machine Learning Tools to identify Physiological Features - Biologically Inspired Neural Computing - Analysis of Time Dependent Information in cognition *Submission:* https://ieee-cis.org/conferences/ijcnn2020/upload.php Under "Main research topic*" select ?S51. Neurocomputation and Cognition? *More details at:* https://neurocomputation.wordpress.com/2020-ieee-wcci-special-session/ *Organizers:* Prof. Larry M. Manevitz ? Director Neuro-computation Laboratory , Caesarea Rothschild Institute and Department of Computer Science, U. Haifa, Haifa, Israel and Department of Computer Science, Ariel University, Israel (corresponding organizer) manevitz at cs.haifa.ac.il Dr. Alex Frid ? Laboratory of Clinical Neurophysiology, Rappaport Faculty of Medicine, The Technion (Israel Institute of Technology), Haifa, Israel, alex.frid at gmail.com Dr. Hananel Hazan ? Levin Lab, Department of Biology , Tufts University, Boston, USA, hananel at hazan.org.il, personal site Prof. Bernardete Ribeiro ? Department of Computer Science, Coimbra University, Coimbra, Portugal, bribeiro at dei.uc.pt, personal site -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Jan 6 06:39:10 2020 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 6 Jan 2020 11:39:10 +0000 Subject: Connectionists: Postdoc (3 yrs) in neural dynamics underlying changes in movement In-Reply-To: References: , , Message-ID: <28134_1578311084_006BigrK028590_AM5PR0602MB33157C621F4780A9BD9290FADE3C0@AM5PR0602MB3315.eurprd06.prod.outlook.com> A 3 year postdoc post is available in the lab of Prof Mark Humphries, at the University of Nottingham (UK) - closing date Jan 10th In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will tackle this question by developing new computational algorithms for dynamic systems, and applying them to newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys, The Humphries? group researches fundamental insights into how the joint activity of neurons encodes information about and actions in the world. For more see: https://www.humphries-lab.org Queries: mark.humphries at nottingham.ac.uk Deadline: 10th January 2020 Full details, and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI182819X1 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. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Mon Jan 6 08:45:15 2020 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Mon, 6 Jan 2020 14:45:15 +0100 Subject: Connectionists: Two postdoctoral positions at the University of Venice, Italy In-Reply-To: References: 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 methods for knowledge graph exploration**.* The focus is the development of advanced machine learning techniques based on the use of knowledge graphs in order to automatically select and/or generate personalized content to cultural heritage users. The work will be done within the EU-funded project MEMEX: MEMories and EXperiences for inclusive digital storytelling. *2. Countering evasion attacks in adversarial machine learning.* The focus is the development of unsupervised and semi-supervised machine learning models based on game theory and related approaches to counter evasion attacks, namely attacks that manipulate input data to evade a trained classifier at test time. The work will be done within the MIUR-funded project REXlearn: Reliable and Explainable Adversarial Machine Learning. *Link:* https://www.unive.it/data/28825/ *Deadline: *January 13, 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 felipe at cos.ufrj.br Mon Jan 6 10:50:58 2020 From: felipe at cos.ufrj.br (Felipe Maia Galvao Franca) Date: Mon, 6 Jan 2020 12:50:58 -0300 Subject: Connectionists: IJCNN-2020SS: Neural Mechanisms for Artificial and Natural Locomotions Message-ID: (IJCNN-28 https://wcci2020.org/ijcnn-sessions, the site of manuscript submission is at the end of this page) Organisers: Zhijun Yang, Vaibhav Gandhi, Felipe M.G. Fran?a, Mehmet Karamanoglu There are evidences showing that walking with adaptive gait patterns may be an acquired characteristic possessed by legged animals and humans. A baby animal or infant usually experiences an inept process to learn walking before becoming fully adaptive to a complex terrain. This learning process starts with reflexes reflecting involuntary responses to stimuli. It may involve a complex sequence of activities for sensorimotor integration, synchronization and coordination of cortical neurons and muscles. After the relevant cortical regions are well acquainted with the external world, the animals are considered as trained and represent the most capable walking machine in nature.Many theoretical and experimental approaches have been proposed intending to decipher the mechanisms underlying the natural locomotion while presenting its artificial intelligence (AI) counterpart. For instance, the finite state machine (FSM), in both deterministic and probabilistic variants, are traditionally used to model the gait pattern generation and transition. Recent years have seen the interest in this area of research growing rapidly thanks to the emergence of new computing methodologies using spiking neurons and neuronal populations, with the neuron complexity ranging from the simplest integrate-and-firing type to the classic Hodgkin-Huxley type. A special Izhikevich neuron can display an abundant spectrum of real neuron activities. These methods show great potential in modelling the natural locomotion models in this relatively new research field. On the other hand, the modern technology provides us means of implementing the theoretic models by using high performance computing (HPC) techniques such as dedicated neuromorphic circuits, GPUs, FPGAs as well as deep learning tools. Scope and Topics This special session brings together the new research works from academics and industry related researchers in this prevalent area. The workshop aims to promote the applications of multidisciplinary methods in investigating and exploiting the neural mechanisms of natural locomotion. We invite papers on both theory and applications of the broad area of neural control for natural locomotion. The artificial locomotion systems, built upon the mechanisms underlying the natural locomotion systems, are particularly welcome. The topics of interest include, but are not limited to, the following. ? Neuroscience studies of natural locomotion and control ? Novel mathematic models for gait pattern generation and transition ? Central pattern generation models and applications ? Somatosensory system, sensorimotor interaction and impacts on locomotion ? Machine learning and deep learning methods applicable for motion control ? Neuromorphic hardware implementation, parallel computing platforms using state-of-the- art hardware such as GPU or FPGA for neural control of locomotion ? Software frameworks, such as robot operating system (ROS), applicable for robot control ? Bayesian inference and hidden Markov models for decision making on robot motion ? Novel finite state machine methods, implementation and applications in robotics ? State-of-the-art robot projects using leading edge hardware and/or software Important Dates 31 Jan 2020 Paper Submission Deadline 15 Mar 2020 Paper Acceptance Notification Date 15 April 2020 Final Paper Submission and Early Registration Deadline 19-24 July 2020 IEEE WCCI 2020, Glasgow, Scotland, UK For more information, e.g., the manuscript format and submission, please refer to the conference official website https://wcci2020.org/. Please submit your manuscript by clicking on the following link. You need an easychair account to submit your work. https://easychair.org/conferences/?conf=ssnmanlijcnn2020 Any questions or comments on submitting your manuscripts? Please send email to: z.yang at mdx.ac.uk -- ??????????????????????????????? Felipe M. G. Fran?a, PhD Invited Professor of Computer Science and Engineering Systems Engineering and Computer Science Program, COPPE Universidade Federal do Rio de Janeiro P.O. Box 68511, 21941-972, Rio de Janeiro, RJ, Brazil felipe at ieee.org felipe at cos.ufrj.br ??????????????????????????????? -------------- next part -------------- An HTML attachment was scrubbed... URL: From djangraw at gmail.com Mon Jan 6 16:31:02 2020 From: djangraw at gmail.com (Dave Jangraw) Date: Mon, 6 Jan 2020 16:31:02 -0500 Subject: Connectionists: Staff Scientist/Engineer Position at NIMH (Bethesda, MD) Message-ID: HIRING: Staff Scientist/Engineer Who we are: Drs. Daniel Pine and David Jangraw are seeking applicants for a Scientist/Engineer position that would program and maintain experimental tasks and hardware for the study of pediatric mental illnesses in the Emotion and Development Branch . Our aims are to better understand the causes and mechanisms of certain psychiatric disorders, improve their definition and classification, and ensure the best treatment can be offered to psychiatric patients. We do this by identifying neuroscience-based phenotypes that map onto clinical phenotypes, and which can be targeted with novel treatments. What you will do: The candidate will help the lab apply cutting-edge data collection methods to research on anxiety and mood disorders in young people. They will work closely with post-doctoral fellows to develop new tasks in PsychoPy (some existing tasks are written in E-Prime). The candidate will discuss the post-doc's plans, advise them on technical aspects of the task, and write the task code. Many tasks must collect behavioral data and synchronize it with physiology and brain imaging data. They will also write and maintain pre-processing and/or analysis pipelines for data from these tasks. In addition, the candidate will install and maintain software and hardware required for data collection, including EyeLink eye trackers and Biopac physiology monitors. The candidate will work closely with the NIMH's functional magnetic resonance imaging (fMRI) core when dealing with specialized hardware for use during brain scans. A motivated candidate could also advance the lab's new techniques, including wearable heart monitors and eye trackers, remote data collection with Amazon Mechanical Turk, Affectiva facial expression analysis, and iPhone app development. This is an extremely collaborative position that requires a blend of technical expertise and skilled communication. The candidate will assist about a dozen post-docs in 3 different research groups, balancing multiple projects at any given time. They must work with the post-docs and their principal investigators to establish priorities, timelines, and expectations. They must be comfortable working with team members who have different levels of technical experience. Who you are: Candidates with a strong programming or engineering background who are interested in psychology and neuroscience are encouraged to apply. Requirements for this position include: - Bachelor's degree or (preferably) MS or PhD in computer science, engineering, neuroscience, or a related field - ?3 years of programming experience in Python (preferably) or in R/Matlab - Strong organization skills and an ability to balance multiple projects - Excellent interpersonal and written (English) communication skills Desirable experience includes: - Research experience in psychology or neuroscience - Experience with PsychoPy or other experimental design software - Experience with eye tracking, physiology, or fMRI hardware - Knowledge of software for processing neuroimaging data How to apply: The successful candidate will work jointly with Drs. Daniel Pine and David Jangraw, as well as other staff and fellows in the Emotion and Development Branch. Please write to them (pined at mail.nih.gov, david.jangraw at nih.gov) with your CV, using the email as the cover letter. Other enquiries are also very welcome. The National Institutes of Health is an equal opportunity employer. -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccc.conference at gmail.com Mon Jan 6 17:40:58 2020 From: iccc.conference at gmail.com (Int. Conference on Computational Creativity) Date: Mon, 6 Jan 2020 22:40:58 +0000 Subject: Connectionists: Call for Workshop Proposals for the 11th International Conference on Computational Creativity (ICCC'20) Message-ID: Dear Colleague, Below you will find the Call for Workshop proposals 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 Workshop Proposals* Held: during 29th - 30th June at ICCC'20 workshops-iccc20 at computationalcreativity.net http://computationalcreativity.net/iccc20/ Please distribute (Apologies for cross-posting) If you wish to receive more information about ICCC?20 subscribe here: https://mailchi.mp/ea6411695954/rn5hgdpf5z ------------------------------------------------ The International Conference on Computational creativity is soliciting proposals for workshops to be held along with the main ICCC conference. We welcome proposals for half-day, full-day and one-and-a-half day workshops on any aspect of computational creativity research. Workshops offer a great opportunity to exchange ideas, and a chance to drive broader adoption of your systems and methods. We welcome a diversity of formats, such as academic workshops (with a process of peer-review for submitted papers) or hands-on, practical workshops. Please feel free to contact the organisers to discuss the possibilities further. All workshops will be academically self-contained: they should have their own organising committee and conduct their own peer-review and publication process where necessary. **** Important dates **** Workshop proposal submissions due: February 10th, 2020. Workshop organisers are also encouraged to submit their proposals earlier than the deadline and request an earlier response in order to allow more time for their own submission process. Notification of workshop acceptance: February 24th, 2019. (Earlier acceptance may be possible at the chairs? discretion, to allow workshops a longer lead-time). Note: all workshops should manage their own paper submission, review and publication process, with appropriate timelines. **** Submission Instructions **** Please submit a PDF proposal of no more than 3 pages detailing the following: - Title and theme of workshop; - Description of the workshop?s scope and the type of papers and/or works that will be accepted (feel free to refer to previous instances of the workshop, including publications); - Expected duration, number of participants, format and rough event schedule (duration can be half-day, full-day or one-and-a-half-day); - Any technical or space requirements (e.g., projector, PA, whiteboards); - Details of your workshop timeline; - Preliminary organising committee. - Details of any invited speakers, if known at the time of submission Please email your submission as a single PDF file with the subject line ?ICCC 2020 Workshop Proposal? to workshops-iccc20 at computationalcreativity.net **** Workshop Chairs **** Oliver Kutz, Free University of Bozen-Bolzano, Italy Sofia Pinto, IST, INESC-ID, Portugal **** More Information **** For more information please contact: workshops-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 Madhumitha.Manivannan at ucsf.edu Mon Jan 6 15:35:25 2020 From: Madhumitha.Manivannan at ucsf.edu (Manivannan, Madhumitha) Date: Mon, 6 Jan 2020 20:35:25 +0000 Subject: Connectionists: Open position at UCSF for postdoc in decision neuroscience of dementia and aging Message-ID: Position for: Post-doc in decision neuroscience of dementia & aging We seek a highly motivated and collaborative postdoctoral scholar to join an interdisciplinary research program on decision-making deficits in Alzheimer?s disease, in frontotemporal dementia, and in preclinical carriers of autosomal dominant mutations for familial frontotemporal dementia. This program is directed by Winston Chiong, MD PhD in the University of California, San Francisco Memory and Aging Center; in conjunction with Ming Hsu, PhD (UC Berkeley Haas School of Business), Andrew Kayser, MD PhD (UCSF Neurology), Scott Kim, MD PhD (NIH), and Katherine Rankin, PhD (UCSF Memory and Aging Center). The postdoctoral fellow will design and conduct task-based functional MRI, structural MRI, and behavioral studies of patients with mild dementia, preclinical mutation carriers, noncarrier family members, and healthy older control participants. This work is informed by clinical problems that arise in the care of older adults, and is designed for dissemination to ethics/policy as well as neuroscientific audiences. The fellow will be encouraged to take advantage of other training and learning opportunities within the UCSF Weill Institute for Neurosciences | Memory and Aging Center, the UC Berkeley/UCSF Center for Neural Engineering & Prostheses, and the UCSF/UC Hastings Consortium on Law, Science & Health Policy. The fellow will contribute to ongoing experiments and pursue self-directed projects in decision neuroscience of aging. Required qualifications * Doctoral degree or equivalent in psychology, neuroscience, or related fields * Strong computational skills, including scripting or programming * Previous experience in neuroimaging and/or studies of decision-making Preferred qualifications * Career interest in aging or neurodegenerative disease * Facility with GitHub, Matlab, JavaScript, and/or Visual Basic * Two-year commitment (with opportunities to extend as mutually desired) How to apply Please e-mail Madhu Manivannan at madhumitha.manivannan at ucsf.edu with your CV, cover letter, and names and contact information for three references. Informal inquiries are welcome. Applications will be reviewed on an ongoing basis until the position is filled. Thank you, Madhu Manivannan Clinical Research Coordinator, Memory and Aging Center University of California, San Francisco 550 16th Street, Workstation #5656 | San Francisco, CA 94158 tel 415.502.0899 decisionlab.ucsf.edu [cid:11ce502e-f3ee-4bdd-b4b0-58469c63d3dc] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-ykcrnbnt.png Type: image/png Size: 16121 bytes Desc: Outlook-ykcrnbnt.png URL: From R.Borisyuk at plymouth.ac.uk Mon Jan 6 16:04:13 2020 From: R.Borisyuk at plymouth.ac.uk (Roman Borisyuk) Date: Mon, 6 Jan 2020 21:04:13 +0000 Subject: Connectionists: Postdoctoral Research Fellow in Computational Neuroscience, University of Exeter, UK In-Reply-To: References: Message-ID: A Postdoctoral Research Fellow position in Computational Neuroscience is available at the University of Exeter, UK to work on a 3-year BBSRC-funded project, in collaboration with neurobiologists from the University of St Andrews. Vertebrate neural circuits can dynamically change their activity to generate an appropriate behaviour in response to a changing environment. This project asks how neural networks can switch between different behaviours. Specifically, you will investigate the dynamic transitions between two rhythmic activity patterns in the spinal circuits of the tadpole to discover the cellular and network mechanisms driving this transition. You will build and simulate biologically realistic models of neural activity from population to conductance-based level as well as probabilistic models of connectivity (Roberts et al., J Neurosci 2014; Borisyuk et al., PLOS One 2014; Ferrario et al., eLife 2018). You will be supported by experimental collaborators who have determined neuronal and network properties with an exquisite level of detail. Predictions from your simulations will be tested experimentally using an array of electrophysiology and imaging tools. Fundamental neuronal mechanisms are highly conserved across vertebrate species, so your results will provide insight on dynamic circuit reconfiguration in more complex neural networks in mammals. We are seeking an outstanding scientist with a PhD in computer science, mathematics, physics, or engineering. A strong experience in neuronal modelling and excellent programming skills (in languages such as C++, Python, MATLAB) are expected. The ideal candidate will be familiar with the nonlinear dynamics of neural activity, have experience in developing models of electrically excitable cells (e.g. Hodgkin-Huxley type), and possess knowledge in neurophysiology. Applicant should be highly motivated for research, have excellent organizational skills, and be able to communicate effectively with outstanding writing ability. The University of Exeter provides a vibrant environment for multidisciplinary studies. This is facilitated by the newly built Living Systems Institute, which promotes collaborations between neuroscientists, mathematicians, and computer scientists. Exeter is a mid-sized city in the South West of England, just a few miles from the beautiful Jurassic coast and wild moor lands. For more information about this job and to apply, please follow the link http://bit.ly/ResearchFellowExeter Enquiries: Dr Joel Tabak j.tabak at exeter.ac.uk Prof Roman Borisyuk r.m.borisyuk at exeter.ac.uk ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. -------------- next part -------------- An HTML attachment was scrubbed... URL: From augenstein at di.ku.dk Tue Jan 7 02:19:45 2020 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Tue, 7 Jan 2020 07:19:45 +0000 Subject: Connectionists: Open-topic TALENT PhD fellowships at the University of Copenhagen Message-ID: <6AC0A5CF-64C3-4043-9CE5-C72DF2DE1336@di.ku.dk> The University of Copenhagen has announced its fourth and final round of funding for the Marie-Curie TALENT PhD fellowship program (https://talent.ku.dk/). TALENT is a doctoral programme co-funded by the European Union, offering 74 PhD scholarships in the natural and life sciences. The call is open-topic, meaning that applicants can propose their own PhD research topic. The application deadline is 13 February for a start date of 1 August 2020. Candidates may not have resided in Denmark for more than a year, are expected to have documented English language qualifications, as well as a Master?s degree or equivalent in a relevant area. I am currently looking for prospective PhD students who would like to apply to the program for a PhD in natural language processing and machine learning. Since the application process requires the submission of a research proposal, please get in touch with me (augenstein at di.ku.dk) if you are interested in applying with me as a PhD supervisor to discuss overlaps in research interests. You can find more information on my research on my personal (http://isabelleaugenstein.github.io/) as well as my research group?s website (https://copenlu.github.io/). ??? Isabelle Augenstein, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark www: http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Tue Jan 7 04:05:41 2020 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Tue, 7 Jan 2020 09:05:41 +0000 Subject: Connectionists: 3 PhD (Marie Curie ESR) positions in Robotics and AI, University of Manchester UK Message-ID: <73D6BCCE-B013-4DC4-A749-6E295E245EB5@manchester.ac.uk> The Department of Computer Science at the University of Manchester, UK, has 3 PhD positions (Marie Curie ESR Early Stage Researchers) for research in robotics and AI as part of the H2020 European Training Network project ?eLADDA: Language Learning in the Digital Age? (https://www.ntnu.edu/e-ladda/recruitment). PhD position 1: Research on robot tutors for language learning in children PhD position 2: Research on social robots for language learning in children (collaboration with Furhat Robotics) PhD position 3: Research on AI and AR for language learning mobile apps (Collaboration with Sponge) All PhD posts are based in Cangelosi? Cognitive Robotics Lab. The first PhD/ESR position will be hired by the University of Manchester, and the other two ESRs will be hired by the industrial partners Furhat Robotics (Sweden) and Sponge (UK), whilst registering for the PhD at Manchester. Rank your preference for the 3 posts when applying via the eLADDA recruitment page: https://www.ntnu.edu/e-ladda/recruitment H2020 Marie Curie mobility rules apply. Deadline: 24 January 2020 Informal enquiries directly with angelo.cangelosi at manchester.ac.uk ___ Angelo Cangelosi Professor of Machine Learning and Robotics Cognitive Robotics Lab https://corolab.github.io University of Manchester, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From wittawatj at gmail.com Tue Jan 7 07:33:27 2020 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Tue, 7 Jan 2020 13:33:27 +0100 Subject: Connectionists: Call for participation: Machine Learning Summer School, 28 June - 10 July 2020, Germany Message-ID: Dear all, The Machine Learning Summer School (MLSS) 2020 will be held at the Max Planck Institute for Intelligent Systems, T?bingen, Germany between 28 June - 10 July 2020. The MLSS presents topics which are at the core of modern machine learning, from fundamentals to state-of-the-art practice. The speakers are leading experts in their field. # INVITED SPEAKERS & TOPICS 1. Francis Bach , INRIA. Optimization 2. Stefan Bauer , Max Planck Institute for Intelligent Systems. Causal Inference 3. Yoshua Bengio , University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNC. Deep learning 4. Michael Bronstein , Imperial College London and Twitter. Geometric Deep Learning 5. Nicol? Cesa-Bianchi , University of Milan. Learning Theory 6. Marco Cuturi , Google Brain and Institut Polytechnique de Paris. Optimal Transport 7. Constantinos Daskalakis , Massachusetts Institute of Technology (MIT). Game Theory in Machine Learning 8. Peter Dayan , Max Planck Institute for Biological Cybernetics. Machine learning for Computational Neuroscience 9. Arthur Gretton , Gatsby Computational Neuroscience Unit, UCL. Kernel Methods 10. Moritz Hardt , University of California, Berkeley. Fairness 11. Stefanie Jegelka , Massachusetts Institute of Technology (MIT). Submodularity 12. Shakir Mohamed , DeepMind. Bayesian Inference 13. Doina Precup , McGill University and DeepMind. (Deep) Reinforcement Learning 14. Bernhard Sch?lkopf , Max Planck Institute for Intelligent Systems. Causal Inference 15. Yee Whye Teh , University of Oxford and DeepMind. Meta-Learning 16. Mihaela van der Schaar , University of Cambridge and Alan Turing Institute. Machine Learning for Healthcare The list of invited speakers is still growing, which will be updated on our website . # APPLICATION & PROGRAM We are inviting applications to participate in the MLSS 2020. The application deadline is 11 February 2020. Details regarding the application process can be found at http://mlss.tuebingen.mpg.de/2020/participate.html . Everyone is welcome to apply to MLSS 2020 regardless of their origin, nationality, and country of residence. We aim to select 150 strongly motivated participants. Our primary target audience is early-mid stage PhD students with good technical background whose research topics are related to machine learning. All applicants are subject to a selection process. Note that the application portal may close earlier than the deadline if the number of applications exceeds our capacity to review There is no application fee. However, for applicants selected to participate, there is a registration fee (details here ). The registration fee will allow us to offer access to all lectures by the invited speakers, lunch, dinner and two coffee breaks everyday, social events (banquet, outdoor activities). A small number of travel awards are available for students who are accepted to attend. # CONTACT: Please do not hesitate to contact us at mlss2020-team at tuebingen.mpg.de for any questions or suggestions. Kind regards, The MLSS 2020 Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From education at humanbrainproject.eu Tue Jan 7 08:02:01 2020 From: education at humanbrainproject.eu (education at humanbrainproject.eu) Date: Tue, 7 Jan 2020 14:02:01 +0100 Subject: Connectionists: =?utf-8?q?HBP_Curriculum_Workshop=3A_Measuring_an?= =?utf-8?q?d_modelling_Brain_States_=7C_28-29_March_2020_=7C_S=C3=B6lden?= =?utf-8?q?=2C_Austria?= Message-ID: <4ABC7513-D4A9-477C-A116-053EDF366803@humanbrainproject.eu> Dear Madam or Sir, On 28-29 March 2020, the HBP Education Programme will organise a workshop on cognitive systems for non-specialists at the Hotel Central in Soelden, Austria under the title ?Measuring and modelling Brain States?. Participation in the event is open to the entire scientific community, but especially targets early-career researchers (advanced Master students, PhD students and early postdocs). In order to reach many interested students and young researchers, we kindly ask you to include our workshop in your scientific events calendar or share via your communication channels. Please find some general information about the workshop and the HBP Curriculum in the attached PDF file or online at https://www.humanbrainproject.eu/en/education/participatecollaborate/curriculum/workshops/3rd-hbp-curriculum-workshop-series-closure-workshop-measuring-an/ . Thank you very much for your help and consideration! With kind regards, The HBP Education Programme Office Medical University Innsbruck (MUI) M?llerstra?e 59, 6020 Innsbruck, Austria curriculum.edu at humanbrainproject.eu www.humanbrainproject.eu/education The HBP Curriculum on Interdisciplinary Brain Science combines web-based distance learning courses and complementary face-to-face workshops. It provides basic lessons in the Human Brain Project (HBP) core fields neuroscience, medicine and ICT for early-career researchers outside their area of specialisation, as well as courses on the subjects of ethics and intellectual property rights, translation and exploitation of research. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 3rdSo?lden_Announcement Flyer_191127_SA.pdf Type: application/pdf Size: 1566125 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From fh at cs.uni-freiburg.de Tue Jan 7 09:43:35 2020 From: fh at cs.uni-freiburg.de (Frank Hutter) Date: Tue, 7 Jan 2020 15:43:35 +0100 Subject: Connectionists: CFP: ICLR 2020 Workshop on Neural Architecture Search (NAS 2020) Message-ID: Call for Papers The ICLR 2020 Workshop on Neural Architecture Search (NAS 2020) Collocated with ICLR 2020 in Addis Ababa (Ethiopia), April 26, 2020 Web: https://sites.google.com/view/nas2020 ---------------------------------------------------------------- Important Dates: Submission deadline: 1 February 2020, 11:59pm UTC-12 (Feb 1 anywhere in the world) Notification: 25 February 2020 ---------------------------------------------------------------- Neural Architecture Search (NAS) is the logical next step in automating the learning of representations. It follows upon the recent transition from manual feature engineering to automatically learning features (using a fixed neural architecture) by replacing manual architecture engineering with automated architecture design. NAS can be seen as a subfield of automated machine learning (AutoML) and has significant overlap with hyperparameter optimization and meta-learning. NAS methods have already outperformed manually-designed architectures on several tasks, such as image classification, object detection or semantic segmentation. They have also already found architectures that yield a better trade-off between resource consumption on target hardware and predictive performance. The goal of this workshop is to bring together researchers from industry and academia that focus on NAS in order to build a strong, open, inclusive and welcoming community behind it. We invite submissions on the following topics: - Gradient-based NAS - Weight-sharing methods - Bayesian optimization - Evolutionary algorithms - Reinforcement learning - Hyperparameter optimization - Meta-learning and transfer learning - Predictive models of performance - Multi-fidelity optimization methods - Benchmarking and robustness of NAS - Applications of NAS to various tasks Since NAS often relies on high computational demands and substantial engineering efforts, a particular focus of this workshop is on reproducibility. We therefore encourage authors to open-source their code and results and will take this into account in the decision making process. As part of the submission, authors will have to indicate which parts of the NAS best practices checklist they satisfy. Submissions should be up to 4 pages in ICLR format (plus references and an appendix of up to 10 pages). All accepted papers will be presented as posters. We may invite the best 2-3 papers for an oral plenary presentation. Unless indicated by the authors, we will provide PDFs of all accepted papers on the workshop website. There will be no archival proceedings. For submission details please see the submission page (link to come). Keynote Speakers - Isabelle Guyon (Chalearn & University Paris Sud) - Song Han (MIT) - Quoc V. Le (Google Brain) - Ameet Talwalkar (CMU & Determined AI) Location The 1st NAS workshop will be co-located with the 8th International Conference on Learning Representations (ICLR 2020) in Addis Ababa (Ethiopia) and will take place on April 26th. Tentative Dates - January 24th: Submission system opens - February 1st (anywhere on earth): Submission deadline - February 21st: Reviewing deadline - February 25th: Author notification - April 2nd: Camera Ready Copy due - April 26th: Workshop day -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Tue Jan 7 10:51:57 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 7 Jan 2020 16:51:57 +0100 Subject: Connectionists: CFP: IJCNN Special Issue on "Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing" Message-ID: <0dc28f05-bf88-b7dc-6eba-270671691463@ai.univ-paris8.fr> *IJCNN Special Issue on* *Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing* *IEEE International Joint Conference on Neural Networks (IJCNN) * July 19-24, 2020, Glasgow, Scotland (UK) *Scope and Aim* Biomedical signal processing involves the analysis and treatment of the physiological electrical activities measured using sensors placed on a living thing, in order to provide useful information on which decisions can be made. Recently, Artificial Intelligence (AI) and Machine Learning (ML) have received a great attention to solve difficult and complex problems related to biosignals analysis and processing; where the traditional signal processing and conventional machine learning techniques have shown their limitations to solve such problems. Indeed, the recent advances in this area have brought an impressive progress to solve several practical and difficult problems in many fields including medicine, e-health, healthcare, neuroscience, brain-computer interface (BCI), neurofeedback, robotics, robotic exoskeletons and biometrics, etc. In this context, the advanced learning techniques such as deep learning, reinforcement learning, deep reinforcement learning, statistical learning have shown their effectiveness to resolve various problems of detection, classification, clustering, segmentation, control, diagnosis, etc.; and thus becomes useful solutions to be investigated more for other open problems. The aim of this special issue is to bring together researchers and scientists in the fields of biomedical signal processing, AI and ML, to present and discuss the recent advances on learning methods and intelligent approaches for biomedical signal and image processing. *Topics* The main topics that are of interest to this session include, but are not limited to: * AI for biomedical signal processing and analysis * ML for biomedical signal processing and analysis * Advanced ML for biomedical data processing (e.g. deep learning, reinforcement learning, deep reinforcement learning, statistical learning?) * Biomedical data processing in Big Data * Advanced biomedical signal and image processing methods with application in medicine, e-health, healthcare, neuroscience, BCI, neurofeedback, robotics, robotic exoskeletons, biometrics, etc. * Related applications *Important Dates* * Paper Submissions: *January 15, 2020* * Paper Acceptance Notifications: *March 15, 2020* * Camera Ready Submission of Accepted Papers: *April 15, 2020* * Conference: *July 19-24, 2020* *Submission Guidelines* * This special session will be held in 2020 International Joint Conference on Neural Networks-IJCNN (wcci2020.org/ijcnn-sessions/ ), as part of 2020 IEEE World Congress on Computational Intelligence (https://wcci2020.org ) (Glasgow, Scotland, United Kingdom, July 19-24, 2020). * All papers should be prepared according to the IJCNN 2020 policy and should be submitted electronically using the conference website (https://wcci2020.org/). * To submit your paper to this special session, you will choose our special session *?S59. Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing?*on the submission page https://ieee-cis.org/conferences/ijcnn2020/upload.php * All papers accepted and presented at IEEE IJCNN/WCCI 2020 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI. *Journal Special Issue* A selection of accepted papers will be invited for publication in a special issue of a SCOPUS indexed journal (to be announced). *Organizers* *Larbi Boubchir *(Lead Organizer) /Associate Professor, LIASD research Lab., Department of Computer Science, University of Paris 8, France / *Boubaker Daachi *(Co-organizer) /Full Professor, LIASD research Lab., Department of Computer Science, University of Paris 8, France / *Contact and information* Web page?: http://www.ai.univ-paris8.fr/~boubchir/SS/ss-ijcnn2020.html Larbi Boubchir : larbi.boubchir at ai.univ-paris8.fr -- _____________________________________________________ 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 nicosia at dmi.unict.it Tue Jan 7 09:48:56 2020 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Tue, 7 Jan 2020 15:48:56 +0100 Subject: Connectionists: =?utf-8?q?CfP=3A_The_6th_International_Conference?= =?utf-8?q?_on_Machine_Learning=2C_Optimization_=26_Data_Science_?= =?utf-8?q?=E2=80=93_July_19-22=2C_2020_=E2=80=93_Certosa_di_Pontig?= =?utf-8?q?nano=2C_Siena=2C_Italy?= Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested attendees. The 6th International Conference on Machine Learning, Optimization, and Data Science ? July 19-22, 2020 ? Certosa di Pontignano, Siena ? Tuscany, Italy An Interdisciplinary Conference: Machine Learning, Optimization, Big Data & Artificial Intelligence without Borders https://lod2020.icas.xyz lod at icas.xyz Important Dates: * Paper Submission Deadline: February 15, 2020 https://easychair.org/conferences/?conf=lod2020 * Decision Notification to Authors: April 23, 2020 * Camera Ready Submission Deadline: May 10, 2020 * Special Session Proposals: November 10, 2019 * Special Session Notification: December 10, 2019 Registration * Early Registration as Presenting Author: May 10, 2020 * Early Registration: May 10, 2020 * Late Registration: From May 11, 2020 KEYNOTE SPEAKERS: * Pierre Baldi, University of California Irvine, USA * Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 * Nando de Freitas, Google DeepMind, London, UK & Oxford University, UK * Marta Kwiatkowska, University of Oxford, UK * Jan Peters Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany More Keynote Speakers Coming soon! Satellite Workshop on "Biologically Plausible Learning" on July 19 Chair: Marco Gori, University of Siena, Italy Keynote Speaker: Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 SPECIAL SESSIONS: * Big data in Economics and Finance Organized by the Big Data and Forecasting of Economic Developments project (bigNOMICS) of the Centre for Advanced Studies of the European Commission, Joint Research Centre. Chairs: Sergio Consoli, Luca Barbaglia, Luca Tiozzo Pezzoli * Industrial Session * Special Session on Explainable Artificial Intelligence * The 7 Special Sessions on Machine Learning Multi-Task Learning Reinforcement Learning Deep Learning Generative Adversarial Networks Deep Neuroevolution Networks with Memory Learning from Less Data and Building Smaller Models * The 7 Special Session on Data Science and Artificial Intelligence Simulation Environments to understand how AI Systems Learn Chatbots and Conversational Agents Data Science at Scale & Data in the Cloud Urban Informatics & Data-Driven Modelling of Complex Systems Data-centric Engineering Data Security, Traceability of Information & GDPR Economic Data Science https://easychair.org/conferences/?conf=lod2020 See you in Siena next July! Best regards, LOD 2020 Organizing Committee https://lod2020.icas.xyz lod at icas.xyz https://easychair.org/cfp/LOD2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From inesdomingues at gmail.com Tue Jan 7 12:33:24 2020 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Tue, 7 Jan 2020 17:33:24 +0000 Subject: Connectionists: IWBF 2020 CALL FOR PAPERS - Deadline Extension In-Reply-To: References: Message-ID: Please feel free to redistribute! ---------------------------------------------------------------------------------------------------------------------------------------------------- IWBF 2020 CALL FOR PAPERS - *Deadline Extension* ---------------------------------------------------------------------------------------------------------------------------------------------------- *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 organized by *INESC TEC*, Porto, Portugal and *NTNU*, Gjovik, Norway; jointly with *EAB*. For more information please visit vcmi.inesctec.pt/iwbf2020 ---------------------------------------------------------------------------------------------------------------------------------------------------- IMPORTANT DATES ---------------------------------------------------------------------------------------------------------------------------------------------------- *Full Papers Submission Deadline*:* January 10, 2020 *February 15, 2020* **Abstract Submission Deadline: **January 10, 2020* Papers accepted to this workshop will be included in the *IEEE Xplore Digital Library.* Authors of the *best papers* will be invited to publish extended versions in a *special issue in IEEE T-BIOM.* The *best paper* will be awarded with a monetary prize - *"Computers Journal Best Paper Award".* ---------------------------------------------------------------------------------------------------------------------------------------------------- IWBF 2020 SPEAKERS ---------------------------------------------------------------------------------------------------------------------------------------------------- *Peter Eisert*, Humboldt University Berlin & Fraunhofer HHI Berlin (IAPR Invited Keynote Speaker) *Zeno Geradts*, Netherlands Forensic Institute & University of Amsterdam ---------------------------------------------------------------------------------------------------------------------------------------------------- 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) -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicosia at dmi.unict.it Tue Jan 7 09:48:30 2020 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Tue, 7 Jan 2020 15:48:30 +0100 Subject: Connectionists: CfP #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 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 * 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" 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. 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Tue Jan 7 16:27:17 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Tue, 7 Jan 2020 23:27:17 +0200 Subject: Connectionists: Call-for-Participation: 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), Luca Piras (Pluribus One & University of Cagliari), Michael Riegler & P?l Halvorsen (Simula Research Laboratory), Minh-Triet Tran (University of Science), Cathal Gurrin (Dublin City University), 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, 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, Thessalonik, 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ale at sissa.it Wed Jan 8 02:21:18 2020 From: ale at sissa.it (Alessandro Treves) Date: Wed, 08 Jan 2020 08:21:18 +0100 Subject: Connectionists: Up to 6 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy, to start Oct, 2020 Message-ID: <20200108082118.Horde.wAbmIh8V4mxeFYLu2WYj9aA@webmail.sissa.it> SISSA is an elite postgraduate research institution located in Trieste, Italy, and focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. The Cognitive Neuroscience Department hosts 6 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department is very inter?disciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational and mathematical models. Students with diverse backgrounds (physics, math, medicine, psychology, biology) are most welcome to apply. The Department has an exceptional track record with highly competitive funds (recent funding includes 4 ERC and 3 Human Frontiers grants) and publication in top journals (Nature, Science, PNAS, Current Biology). Recent placements after PhD include Harvard, MIT, Columbia and Princeton in the US; the NTNU, Manchester and Radboud in Europe; and Sydney University, Australia. Our alumni have been awarded 4 ERC grants, the 2015 Kandel Young Neuroscientist Prize and the 2017 ICTP Prize. More information about the Department is available at our website https://phdcns.sissa.it. The selection procedure is now open; to learn how to apply, please visit https://phdcns.sissa.it/admission-procedure. Please contact the PhD Coordinator (davide.crepaldi at sissa.it) and/or your prospective supervisor for more information and informal enquiries. -- Alessandro Treves SISSA, Cognitive Neuroscience, http://people.sissa.it/~ale/limbo.html if in, rm 241, via Bonomea 265, 34136 Trieste, Italy: +39-040-3787623 From Vittorio.Murino at iit.it Wed Jan 8 06:37:00 2020 From: Vittorio.Murino at iit.it (Vittorio Murino) Date: Wed, 8 Jan 2020 11:37:00 +0000 Subject: Connectionists: Open positions in computer vision and machine learning in Huawei Technology Ltd, Ireland Research Center, Dublin Message-ID: <106e7fbb-37e8-f255-cdfb-184572e843a1@iit.it> Video Intelligence Researcher Video Competence Centre, Huawei Technologies Ireland Research Centre, Dublin, Ireland Description We are looking for experienced researchers to join our Video Intelligence team. The team uses pattern recognition and machine learning methods applied to computer vision and video processing. Working with our software engineering team, together we will help Huawei to improve its current video product portfolio and drive the next generation of business and consumer experience. *Key Responsibilities Include:* ?Drive the execution of research projects: propose research projects, propose solutions to research problems, develop algorithms to solve those problems and ensure that these projects are delivered on time. ?Develop and deliver proof of concept software deliverables for R&D projects. ?Personal commitment to constantly challenge yourself & improve your skills in a fast-moving domain, and keep up-to-date in domain technologies. ?Support senior experts in research, industrial analysis and reporting activities. ?Open & communicative approach, keeping stakeholders fully informed and sharing your experience & expertise with peers. ?Availability to travel for technical and scientific conferences, technical exhibitions, meetings with clients and/or other internal teams. ? *Skills & Experience ? Required* ?PhD in computer vision, image processing, deep learning/machine learning or significant relevant industry experience. ?Research experience in (one or multiple areas) Computer Vision, Video Processing, Machine Learning/Deep Learning, Pattern Recognition, Multimedia and Data Science as well as experience in applying academic studies to industrial applications. ?Specifically, knowledge and former experience of work on domain adaptation and behavior analysis (e.g., action recognition) would be preferable. ?Relevant track record publications in major conferences ? CVPR, ICCV, ECCV, ICIP, ICPR, ICML, NeurIPS, ICLR, ACMMM, ICRA, IROS, etc. ? and journals in the area ? T-PAMI, CVIU, PR, T-IP, T-AC, T-MM, T-RA, etc. ?Excellent programming skills and knowledge of relevant programming languages for R&D (e.g. C++, Python, Matlab). ?Ability to translate technical specifications into working code and solve complex problems with consideration of the end-user requirements. ?Excellent written and spoken communication skills. The candidate should demonstrate the ability to communicate complex research findings to stakeholders in an accessible manner. *Skills and Experience ? Desired* /It is not required for the candidate to possess skills in all of these areas. Some of these may be required for specific roles but they are valuable for all roles:/ ** ** *Desired Research Experience* ?Video intelligence and analytics: Object recognition, object detection & tracking, media metadata processing/analysis, motion detection, action recognition, event/activity detection and classification, segmentation, and visual saliency detection. ?Machine Learning: traditional ML methods (SVMs, Random Forest, etc.), supervised and unsupervised approaches, deep learning approaches such as ConvNets, LSTMs, Encoder-Decoder architectures, GAN, learning with scarce data, data augmentation, etc. ?Video processing: Video quality assessment, image/video enhancement (online and/or offline), image/video editing and rendering, and image-based translation and synthesis ** ** *Programming Language and Framework* ?Experience writing research code with either Java, C++, Matlab or Python ?Experience with deep learning frameworks such as Tensorflow, Caffe, Torch (Pytorch), Keras etc. ?Experience with common computer vision and machine learning packages such as Opencv, SciKit-Learn, xgboost etc. ** *About our Team* Huawei, the leading Telecommunications and IT solution provider, opened its European Research and Development (R&D) Centre in Ireland. Led by Huawei?s Video and AI vision, our *Video Competence Centre *was established in 2017 andcarries out pioneering R&D which leading and driving the next generation of industrial standards and products. Joining forces with top universities and industry leading partners, Huawei?s goal is to revolutionize both the consumer and enterprise markets. The Video Competence Centre?s mission is defining and driving Huawei?s R&D in the area of video intelligence for its enterprise and consumer businesses. To this end, the team investigates and designs novel and state-of-the-art algorithms in video intelligence and deep learning, more specifically in relation to behaviour analysis (e.g., object detection & recognition, segmentation, enhancement, event detection and classification, etc.) and domain adaptation/transfer learning approaches, in order to create the next generation of intelligent video products & solutions. The work will involve working in close relationships with other global teams in Huawei, including the video product teams, as well as the wider research and academic community. To achieve these goals we are looking at recruiting experienced researchers with expertise in Computer Vision and Machine Learning to complement our existing team of experts. *About the Company* Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains ? telecom networks, IT, smart devices, and cloud services ? we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees. *Location* This is a fulltime position at our R&D centre based in Dublin, Ireland. Business trips may be required as necessary to support strategic engagements. Recruitment Privacy Notice: http://career.huawei.com/reccampportal/portal/hrd/... ONLY CANDIDATES WHO MAY LIVE AND WORK IN IRELAND WITHOUT RESTRICTION CAN BE CONSIDERED FOR THIS POSITION. DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED. -- Vittorio Murino ******************************************* Prof. Vittorio Murino, Ph.D. PAVIS - Pattern Analysis & Computer Vision Istituto Italiano di Tecnologia via Enrico Melen 83, Building B, Floor 8 16152 Genova, Italy Mobile: +39 329 6508554 E-mail: vittorio.murino at iit.it Secretary: Sara Curreli email: sara.curreli at iit.it Phone: +39 010 2897420 http://pavis.iit.it ******************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From brian.mingus at colorado.edu Wed Jan 8 14:06:49 2020 From: brian.mingus at colorado.edu (Brian Mingus) Date: Wed, 8 Jan 2020 12:06:49 -0700 Subject: Connectionists: A Six-Unit Network is All You Need to Discover Happiness Message-ID: It's a great title! I believe the word that characterizes it is "sardonic." Yet speaking of not actually solving the stated problem, how is it possible that connectionists failed so miserably to get AI working? Check out Gary's other publications: https://scholar.google.com/citations?user=5Aut7EEAAAAJ&hl=en&oi=sra He seriously knows what's up. Gary knows how to compute on the edge of chaos. Me personally, having been trained in the Randy O'Reilly lab, I watched ten years of failure to get models working. And then suddenly, Eureka! It was basically LSTM all along. But didn't Mozer have BPTT before that, and, guys, seriously, didn't we have the SVD in the late 1800s? ?Oh, but you have to train it in a very special way! You need dropout and layer-wise semi-supervised pre-training.? I think the papers published before and since then have shown this to not be true. "The Unreasonable Effectiveness of Data" by Norvig: https://research.google.com/pubs/archive/35179.pdf Um, OK, let's run with that. We are still messing around with MNIST (tiny data) and surprisingly, those methods tend to generalize. So while what Norvig is getting at regarding the effectiveness of simple models on big data is still a good point, why wasn't AI solved long before 1990? Overclocking CPUs is not a new thing. You had the speed, you had the data, and 640K of RAM is actually literally enough to get by on. In fact, the problem is exactly this simple: I recently had the idea to take the backprop implementation from scikit learn and implement the following pseudocode to solve mnist: Generate a random vector the size of an image with numbers of any scale or distribution (I did not try bignum, but did try very big ints). Train on this vector. Test on every image in the training set to see if any new images were correctly classified. If yes, keep the model, if no, revert to the previous model and generate a new random vector. Repeat until you master the training set, or get bored. And then observe that you generalize very well to the test set. That method is totally brain-dead. It *literally* worked on my first try. And I think we can do the same thing with random matrix multiplies. In fact, I have seen O'Reilly train brain models by approximating a correlation matrix by fiddling with basically a single floating point round-off error and checking to see if the correlations increased. And Sutton & Barto recently published that RL is basically just brute force. "RL" boils down to: when you get lucky, don't be an idiot and forget what you saw. This turns out to not be pushing the problem back into the human brain. It's actually that easy. And it's not just for MDP's - POMDPs feel the same love. Personally, and I just feel the need to get this on the record, I think there's a third option, and it's literally The Third Option: https://en.wikipedia.org/wiki/The_Third_Option I believe we had AI in the 70s and probably the 50s, 40s and maybe earlier to a point. Actually though, an "SVD" on punch cards would not actually be that onerous. Given that I was funded by the CIA (technically IARPA) and nearly every other defense org that funds academics, I'm wondering how it's possible that O'Reilly got all that defense funding in the first place while we seemingly thrashed our weights trying to solve an easy problem. In case I die tomorrow, let me just put the question out there, as your diligent and friendly connectionist moderator for over ten years now: Was "Connectionism" and "PDP" etc. actually a CIA operation? Is DeepMind a staged rollout of AI that's been backdoored by NIST-level mathematical geniuses? Is Schmidhuber then a spy as well? Actually, how many spies are on this list. Raise your hands :) I'm serious. It's actually an important question. The problem turned out to be so easy, and connectionists apparently failed so badly, that if we are really just now getting a handle on it we might actually be looking at a singularity. On the other hand, it would be amazingly good news if the CIA got, say, 30 years or more ahead of this problem. Which is an excellent reason for me to ask in and of itself. Are we getting some help here from Uncle Sam or not? Sincerely, Brian Mingus http://linkedin.com/in/brianmingus https://scholar.google.com/citations?user=T_sFnwoAAAAJ&hl=en PS: Is anyone looking to hire a strong generalist in the, say, AI Safety space, or anything fun that doesn't lead to the end of the world? If so hit me up! -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: resume_mingus_ml.pdf Type: application/pdf Size: 467696 bytes Desc: not available URL: From brian.mingus at colorado.edu Wed Jan 8 13:59:51 2020 From: brian.mingus at colorado.edu (Brian Mingus) Date: Wed, 8 Jan 2020 11:59:51 -0700 Subject: Connectionists: A Six-Unit Network is All You Need to Discover Happiness Message-ID: It's a great title! I believe the word that characterizes it is "sardonic." Yet speaking of not actually solving the stated problem, how is it possible that connectionists failed so miserably to get AI working? Check out Gary's other publications: https://scholar.google.com/citations?user=5Aut7EEAAAAJ&hl=en&oi=sra He seriously knows what's up. Gary knows how to compute on the edge of chaos. Me personally, having been trained in the Randy O'Reilly lab, I watched ten years of failure to get models working. And then suddenly, Eureka! It was basically LSTM all along. But didn't Mozer have BPTT before that, and, guys, seriously, didn't we have the SVD in the late 1800s? ?Oh, but you have to train it in a very special way! You need dropout and layer-wise semi-supervised pre-training.? I think the papers published before and since then have shown this to not be true. "The Unreasonable Effectiveness of Data" by Norvig: https://research.google.com/pubs/archive/35179.pdf Um, OK, let's run with that. We are still messing around with MNIST (tiny data) and surprisingly, those methods tend to generalize. So while what Norvig is getting at regarding the effectiveness of simple models on big data is still a good point, why wasn't AI solved long before 1990? Overclocking CPUs is not a new thing. You had the speed, you had the data, and 640K of RAM is actually literally enough to get by on. In fact, the problem is exactly this simple: I recently had the idea to take the backprop implementation from scikit learn and implement the following pseudocode to solve mnist: Generate a random vector the size of an image with numbers of any scale or distribution (I did not try bignum, but did try very big ints). Train on this vector. Test on every image in the training set to see if any new images were correctly classified. If yes, keep the model, if no, revert to the previous model and generate a new random vector. Repeat until you master the training set, or get bored. And then observe that you generalize very well to the test set. That method is totally brain-dead. It *literally* worked on my first try. And I think we can do the same thing with random matrix multiplies. In fact, I have seen O'Reilly train brain models by approximating a correlation matrix by fiddling with basically a single floating point round-off error and checking to see if the correlations increased. And Sutton & Barto recently published that RL is basically just brute force. "RL" boils down to: when you get lucky, don't be an idiot and forget what you saw. This turns out to not be pushing the problem back into the human brain. It's actually that easy. And it's not just for MDP's - POMDPs feel the same love. Personally, and I just feel the need to get this on the record, I think there's a third option, and it's literally The Third Option: https://en.wikipedia.org/wiki/The_Third_Option I believe we had AI in the 70s and probably the 50s, 40s and maybe earlier to a point. Actually though, an "SVD" on punch cards would not actually be that onerous. Given that I was funded by the CIA (technically IARPA) and nearly every other defense org that funds academics, I'm wondering how it's possible that O'Reilly got all that defense funding in the first place while we seemingly thrashed our weights trying to solve an easy problem. In case I die tomorrow, let me just put the question out there, as your diligent and friendly connectionist moderator for over ten years now: Was "Connectionism" and "PDP" etc. actually a CIA operation? Is DeepMind a staged rollout of AI that's been backdoored by NIST-level mathematical geniuses? Is Schmidhuber then a spy as well? Actually, how many spies are on this list. Raise your hands :) I'm serious. It's actually an important question. The problem turned out to be so easy, and connectionists apparently failed so badly, that if we are really just now getting a handle on it we might actually be looking at a singularity. On the other hand, it would be amazingly good news if the CIA got, say, 30 years or more ahead of this problem. Which is an excellent reason for me to ask in and of itself. Are we getting some help here from Uncle Sam or not? Sincerely, Brian Mingus http://linkedin.com/in/brianmingus https://scholar.google.com/citations?user=T_sFnwoAAAAJ&hl=en PS: Is anyone looking to hire a strong generalist in the, say, AI Safety space, or anything fun that doesn't lead to the end of the world? If so hit me up! -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: resume_mingus_ml.pdf Type: application/pdf Size: 467696 bytes Desc: not available URL: From brian.mingus at colorado.edu Wed Jan 8 23:33:02 2020 From: brian.mingus at colorado.edu (Brian Mingus) Date: Wed, 8 Jan 2020 20:33:02 -0800 Subject: Connectionists: Military-grade Psyops-ready Reinforcement Learning is Probably Being Sold at the Consumer Electronics Show (CES) in Las Vegas Message-ID: I am at the Consumer Electronics Show (CES - https://www.ces.tech/) in Las Vegas and I believe military-grade psyops-ready Reinforcement Learning is being sold here right now on the black market, and that it is being funded by derivative swaps that are basically allowing terrorists to print money and the whole thing is being run via a silent auction system. Why? It smells. This conference is completely dysfunctional. Not only is the technology not interesting or useful to humanity right now in almost all cases, but the vibe and feel of the conference?s social sphere is completely out of the normal human range. And it?s not just Vegas. These people are supposedly here on business. I went to the Olympics in Athens in 2004 and I know what international cooperation looks like. Bjork did the opening ceremony and her dress covered the entire field, and athletes from every participating country got together under it. https://www.youtube.com/watch?v=Canm7glYFgg I approve that kind of positive interaction. Contingent on us living in a safe world. Whereas these people are fucking sharks. There are psychopaths seemingly everywhere. As-if from-concentrate. Not only is CES very obviously militarized based on the tech on display, it?s actually, based on my extensive number of social interactions with people here, hard to understand how a huge number of the up-to 200,000 people in this mix of 150 countries are not spies who are doing black market weapons deals. There are a lot of things that give spies away, but the number one way to root them out is to detect that they are pretending to be stupid. At ?CES?. Consumer does not mean stupid, and these people are not consumers anyway. I manned the AWS booth at the 2018 nVidia GTC AI conference in Washington, D.C. and did ad-hoc booth consulting for hundreds of spies. Not only do they pretend to be stupid, but they also, in the famous words of T.J. Miller, attempt to ?brain rape? you: https://www.youtube.com/watch?v=JlwwVuSUUfc In other words, they are trying to get information out of me (use my creativity) so that they can weaponize it. As a responsible citizen of Earth and a hopeful future parent, that is something that I believe everyone reading this should absolutely be freaking out about. I am basically a target when I go to conferences. I give, give, give, and I have a lot to give after reading ~10,000 scientific papers, and these people just take-take-take. In addition, CES is pretending to be stupid as well. I walked around the conference with two laptops both locked in separate compartments of my backpack, and those locks were never opened by security and nor was the bag ever scanned. And I was in the same room as Ivanka Trump during her keynote. It?s the implication. The conference - up to 200,000 spies - is a hot bed for electronic warfare. They are launching zero-days ( https://en.wikipedia.org/wiki/Zero-day_(computing)) and they are fuzzing. They are primarily using wireless signals to root as many devices from as many different countries as possible. Why? Why else Pinkie. To try to take over the world. Is there any way I can add more emphasis as to how dangerous this is? What the fuck makes Ivanka Trump and everyone else in that room resistant to Metasploit (https://www.metasploit.com/)? Software which I have never actually used, by the way. Just Say No. . . . Everyone, I am calling for an immediate global ban on AI. We don?t fucking need it, and it?s too fucking easy. Autoencoders may be the fucking death of us all. What if a terrorist organization actually manages to create a chain of zero-day exploits for everything. They could imprison us in this technologically-driven world we?ve created. Fuzzing ( https://en.wikipedia.org/wiki/Fuzzing) works so well that I have reason to believe these exploit chains are being sold here at CES right now and that cyber kill chains ( https://en.wikipedia.org/wiki/Kill_chain#The_Cyber_Kill_Chain) are being developed and executed. *My iPhone has literally been acting funny.* They are going in through the "Hey, Siri" automatic voice recognition by fuzzing-discovered frequency combinations that are not audible to people or dogs. We need to start taking immediate responsibility for our actions. Allow me to explain what that means. 1. I am calling out myself for my previous e-mail ( https://mailman.srv.cs.cmu.edu/pipermail/connectionists/2020-January/033714.html) in which I have now made it widely publicly known that so-called ?AI? is trivial. Did this present a risk? Yes. But the point is that this information is so easy to discover that we must assume it was already known before the magical 2010 or whatever date. That means that we need to act appropriately, and what exactly does that boil down to? We need to avoid a situation where we are forced to EMP the planet by detonating nukes in space. Which might not even work! We might need to shut down the power grid. But what about portable nuclear reactors? What about people who are dug the fuck in? More specifically, we need to recognize that we are playing with fire and the situation is not safe. 1. Was it Schmidhuber?s student who actually implemented and ran a version of the shortest algorithm that computes everything? The Super Omega? ( https://en.wikipedia.org/wiki/Chaitin%27s_constant#Super_Omega) To: Schmidhuber, what the fuck is that shit you guys are messing with? That sounds like a WMD. And you guys decided to see what happens when you pulled the trigger. 2. We need to strike a better balance between science and safety. It is not safe to be publishing scientific papers on the actual results from high-energy physics and artificial intelligence when the world is replete with terrorists who will weaponize anything they can get their hands on just so they can sell it, and potentially use. As to the first point, we need to know the risks (and hide them from bad guys when appropriate) and as to the second, we need to have the self-control to not actually do it. That is part of the meaning of Ronald Reagan?s ?suicide pact? quote. Please do not have a lapse in self-control and do anything stupid. Whoever told you the Cold War was over told you a bald-faced lie. WWIII is effectively in full swing, and its coldness is made all the colder by the ?chilling effects?-style limitations on free speech under which we are basically not allowed to talk about the fact that we are at war despite the fact that we are obviously the winners of ALL past wars (that's *trillions or more* generations of winners) and never really stopped fighting. *Yet.* Do Not Press Play on AI. Just Say No. Don?t even write the code. We aren?t ready as a society. It?s not even clear to me what it would really mean for us to be ready. Aside from some supply chain optimizations and building better telescopes, what the fuck is AI really good for anyway? Use your brains people. You are basically a fucking kalman filter ( https://en.wikipedia.org/wiki/Kalman_filter) with a body, feelings, consciousness and qualia already so fly by wire. That means: Use your own brain and Quit Fucking Up My Planet. If you don?t like it here, leave. Who can fix this problem for us? We all play a part. But in particular I am looking to the Central Intelligence Agency. With any luck a good number of the spies here are actually Americans. It?s possible that the Secret Service is so on top of their game that my bag was thoroughly scanned by them. But when we live in a society in which our potential heroes must live under the moniker of the Presidentially deniable ?Third Option,? ( https://en.wikipedia.org/wiki/The_Third_Option) and the technology that the government possesses is not public knowledge, how am I to know that the people in that room were actually safe? Quite frankly, given that low level of security, it wasn?t safe for me to be in that room given how big of a target she is. In fact, Iran bombed us during her fucking session. President Trump supposedly doesn?t like the CIA, but we need to understand that they are our Constitutional protectorate. Their organization absolutely exists across presidencies. They conduct ?Third Option? ?special activities? that are, according to published national security directives, so secret that, according to a Reagan-era National Security Decision Directive, they never have to be written down or ever discussed again. Those spies go alllll the way under cover. And so do their children. However, President Trump is ultimately the person in charge of declassifying information, and if he chooses not to reveal the Third Option?s activities they would effectively have to execute a coup in order to reveal what they have been doing to protect us. Why exactly is that? By now the CIA?s Third Option very likely has so much power that they only obey the President out of strict deference to the Constitution. In other words, they are super-patriotic Americans. Again, it?s the implication. If we are actually safe right now, that means that every president has kept the Third Option?s activities secret, including Obama, who created the Disposition Matrix, allowing for the deniable killing of Americans in America ( https://en.wikipedia.org/wiki/Disposition_Matrix). In sum, what we need is a POTUS who will convince us we are safe, and that does not include bombing random-ass Iranian generals. Iran?s nuclear program is not the problem. And we?ve already taken strong measures to limit it, launching viruses such as STUXNET to over-spin their centrifuges ( https://en.wikipedia.org/wiki/Stuxnet). North Korea?s nuclear program is likewise not that big of a problem. More worrisome would be if they got their act together combined with their bad intentions and forcefully conscripted every citizen into an elite hacking society. To Kim Jung Un: Please do not do that. Have a fucking heart. The problems are: The Queen, Russia, China, our own secrecy, AI and cyberwarfare in general, not to mention economic warfare and artificial scarcity leading to epic amounts of completely unnecessary poverty and suffering. In the words of the Black Eyed Peas: ?Where is the Love?? ( https://www.youtube.com/watch?v=WpYeekQkAdc). Very Sincerely, A still-young man who is not yet sure whether his world is safe enough for him to become a father. Brian Mingus -------------- next part -------------- An HTML attachment was scrubbed... URL: From aurelie.calabrese at inria.fr Wed Jan 8 10:33:24 2020 From: aurelie.calabrese at inria.fr (Aurelie Calabrese) Date: Wed, 8 Jan 2020 16:33:24 +0100 Subject: Connectionists: Master 2 internships available in Sophia Antipolis (Inria - Biovision Lab) Message-ID: <5538D505-4DAA-4399-8E5D-A4C95B78DC41@inria.fr> The digital world is offering an amazing range of possibilities for everyone, especially people with disabilities. Come and join us to leverage science and new technologies to offer life-changing solutions for people with visual impairment. Inria?s Biovision Lab is recruiting 4 Master candidates Candidates profile: Master of computer science, linguistics, digital humanities, natural language processing or applied mathematics Location: Sophia Antipolis, France Salary: 550 ? per month Topics: Simulating the cortical activity evoked by artificial retinal implants Towards Large-Scale Evaluation Protocols for the Visually Impaired Development of an Android application to measure reading performance in both clinical and research environments Algorithms for a new packing problem: Towards Reading Accessible Newspapers Please visit this address https://team.inria.fr/biovision/internships/ for more information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.rovetta at unige.it Wed Jan 8 11:28:22 2020 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Wed, 8 Jan 2020 17:28:22 +0100 Subject: Connectionists: Advances in segmentation of data streams - Deadline 2020-01-25 Message-ID: Second announcement -- DEADLINE EXTENDED TO JANUARY 25, 2020 **** Advances in segmentation of data streams **** SPECIAL SESSION @ IEEE EAIS 2020 https://sites.google.com/view/eais2020/conference/special-sessions/advances-in-segmentation-of-data-streams http://eais2020.di.uniba.it/ Due to the growing presence of ubiquitous data sources and the requirement for shorter and shorter response times, data streaming is steadily becoming the key technology to modern information processing, and this trend is bringing up new challenges. As data analysis moves from simple organisation and classification to content understanding, for instance, the meaning of segmentation becomes more and more complex to define. When does a concept start within a text, and where does it stop? Which objects are interesting in a video, and where are they located? When does a machine start to show a degradation process that will lead to a need for maintenance? Where does a spoken text start to show a certain mood? This special session aims to explore current topics in data stream understanding, with emphasis on segmentation, the process of identifying meaningful entities within a stream of data. This is often an ill-defined goal, where object boundaries are uncertain and object definition is unclear, subjective, or not given in advance. Notwithstanding this, the task emerges everywhere and can be instantiated in a vast number of vertical application areas, including just as an indication: - Natural language processing/understanding - The Internet of Things (IoT) and sensor networks - Industrial process control - Gesture recognition in artificial vision - Speech analysis and synthesis - Road traffic monitoring and control (Smart City) - Predictive maintenance (Industry 4.0) - Health monitoring - Web traffic analysis and user profiling - Extreme climatic event forecasting - Sentiment analysis in marketing - Automatic video scene identification Contributions on any of these subject areas, as well as other, are sought for this special session, as long as they focus on the intended theme. Diversity is encouraged, as it promotes cross-fertilisation. Special session organizers: Stefano Rovetta University of Genova Zied Mnasri zied.mnasri at enit.utm.tn University of Tunis El Manar, Tunis, Tunisia and University of Genova, Italy From hal3 at umd.edu Wed Jan 8 11:16:20 2020 From: hal3 at umd.edu (Hal Daume) Date: Wed, 8 Jan 2020 11:16:20 -0500 Subject: Connectionists: Call for Papers: ICML 2020, Vienna Austria, 12-18 July Message-ID: ICML 2020 Call for Papers The 37th International Conference on Machine Learning (ICML 2020) will be held in Vienna, Austria from 12 July to 18 July, 2020. The conference will consist of one Expo day (12 July), one day of tutorials (13 July), followed by three days of main conference sessions (14-16 July), followed by two days of workshops (17-18 July). We invite submissions of papers on all topics related to machine learning for the main conference proceedings. Deadlines: This year, ICML will continue with a single review cycle, with an abstract submission deadline of Jan 30, 2020 AOE and a full paper submission deadline of Feb 06, 2020 AOE; all paper submission deadlines are "Anywhere On Earth." Submissions will open 7 Jan, 2020 and can be submitted through CMT: https://cmt3.research.microsoft.com/ICML2020/ Topics of interest include (but are not limited to): 1. General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, semi-supervised learning, time series analysis, unsupervised learning, etc.) 2. Deep Learning (architectures, generative models, deep reinforcement learning, etc.) 3. Learning Theory (bandits, game theory, statistical learning theory, etc.) 4. Optimization (convex and non-convex optimization, matrix/tensor methods, sparsity, etc.) 5. Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.) 6. Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.) 7. Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.) We encourage the submission of papers that develop machine learning techniques to address socially relevant problems, ethical AI and AI safety. Papers published at ICML are indexed in the Proceedings of Machine Learning Research through the Journal of Machine Learning Research. Paper acceptance decisions are made without concern for funding, and authors of accepted papers receive priority for travel awards as needed. We have given eight weeks between notifications of paper acceptance and the conference to allow for visa processing, and will work to award travel funding for those who need visas as quickly as possible. Author and Style Instructions: View author instructions, including policies around dual submission, anonymization, and style files at https://icml.cc/Conferences/2020/StyleAuthorInstructions. Submitted papers that do not conform to these policies may be rejected without review. Email: program-committee at icml.cc Program Chairs: Hal Daum? III (University of Maryland, Microsoft Research) Aarti Singh (Carnegie Mellon University) General Chair: David Blei (Columbia University) -------------- next part -------------- An HTML attachment was scrubbed... URL: From zapotocky at biomed.cas.cz Wed Jan 8 15:09:41 2020 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Wed, 8 Jan 2020 21:09:41 +0100 Subject: Connectionists: CNS*2020 Melbourne: Call for Workshops and Tutorials Message-ID: <1e07ebc8-8c9f-6367-6479-6a7eec58bc5d@biomed.cas.cz> Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA *Call for Workshops and Tutorials at the 29th Annual Computational Neuroscience Meeting (CNS*2020), Melbourne, July 18--22* We are requesting proposals for workshops and tutorials from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. This is a great opportunity to organize a small meeting or introduce novel methodology with just a few of the headaches of actually organizing it. We are looking forward to your submissions. CALL FOR *WORKSHOPS* (see below and also https://www.cnsorg.org/cns-2020-call-for-workshops ) Peter Jedlicka, Workshops Chair for CNS 2020 CALL FOR *TUTORIALS* (see below and also https://www.cnsorg.org/cns-2020-call-for-tutorials ) Anca Doloc-Mihu, Tutorials Chair for CNS 2020 ------------------------------------------------------------------------ 1. WORKSHOP PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS 2020, MELBOURNE Workshops, in which computationally related neuroscience topics can be presented, will take place during the last two days (*July 21 and July 22, 2020*) of the 29th Annual Computational Neuroscience Meeting . For each workshop, usually, several speakers are invited to introduce a unifying theme, but ample time for discussion should also be planned. *Please note that there is a change in the format of the meeting compared to previous years.* The main meeting will conclude on July 21, with a keynote lecture and a poster session taking place in the afternoon. The morning of July 21 is reserved for workshops. A goal of this "mixed day" of the meeting is to facilitate an overlap of attendance. Participants who have registered for either the main meeting or the workshops will be allowed to attend all of the events on July 21 (workshops, keynote, poster session). The last day of the meeting, July 22, is reserved for workshops, as in the previous years (workshop registration will be required to attend). Accordingly, the possible duration of a workshop is anywhere from 0.5 days (one session lasting 3.5 hours) to 1.5 days (three half-day sessions). Half-day workshops will be preferentially scheduled for July 21. They will thus offer the opportunity to attract a wider audience still present for the main meeting. Submit workshop proposals to *workshops AT cnsorg.org*. The Past Meetings page gives access to archives of workshops held at previous CNS meetings. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * *Workshop Title* * *Organizers* (list primary organizer first; include affiliations and emails) * *Workshop duration* (half-day, one or two days, there are 2 sessions per day) * *Number of expected speakers* * *Brief Description* (~150 words; if possible, say why this is significant or timely) * *Speakers* (mark expected or confirmed) Also please note the following rules which were approved by the OCNS Board on July 15, 2013: * Each individual can be the organizer or co-organizer on only *one* workshop. * The number of confirmed speakers is *one of the criteria* for accepting the proposal. * Overlapping proposals may be asked to be combined. If the organizers do not wish to combine the proposals, only one of the proposals may be accepted. For information on available financial support for accepted workshops, please *see the sections "Registration" and "Travel Awards" below*. *DEADLINE*: Workshops submitted before *January 31, 2020*, will be given priority in acceptance. Workshop proposals arriving after January 31, 2020, will be evaluated based on remaining space for additional workshops. No further workshop acceptances will be anticipated after *May 15, 2020*. Please address any questions to *workshops AT cnsorg.org*. ------------------------------------------------------------------------ 2. TUTORIAL PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS 2020, MELBOURNE Tutorials are intended as introductions into main methodologies of various fields in computational neuroscience. Tutorials are particularly tailored for early-stage researchers as well as researchers entering a new field in computational neuroscience. The tutorials are held on the first day,*18 July 2020*, with a typical total attendance of ca. 100 students allowing for four concurrent sessions during the day. Three different formats are available: * Introductory FULL DAY courses * Specialized HALF DAY tutorials * 30 MINUTES software showcase As approved by the OCNS Board on July 13, 2019, accepted tutorials are eligible to receive maximum one travel award and tutorial registration waivers for 1-3 organizers depending on the length of the tutorial. Software showcase sessions do not receive any funding, travel award, or free registration. Submit tutorial proposals to *tutorials AT cnsorg.org*. Please compare it with the previous year's tutorials . Note that our new format, the showcases, will be combined to one continuous afternoon program. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * *Tutorial Title* * *Organizers* (list primary organizer first; include affiliations and emails) * *Format* (full-day, half-day, showcase) * *Brief Description* (max. 300 words; include links to relevant software) *DEADLINE*: Tutorial proposals should be submitted before *January 31, 2020*. Please address any questions to *tutorials AT cnsorg.org.* ------------------------------------------------------------------------ *Registration*: Workshop/tutorial registration will occur through the OCNS registration website for CNS*2020. All workshop/tutorial participants, including speakers, must register. Each workshop/tutorial is eligible to receive workshop/tutorial registration waivers for 1-3 speakers/organizers (depending on the length of the workshop/tutorial). *Travel awards*: A limited number of Travel Awards will be available for workshop/tutorial organizers or speakers (maximum one Travel Award per workshop/tutorial). Priority will be given to postdocs and early career faculty. Travel Award amounts will be variable, depending on distance traveled. Please indicate which speaker or organizer you would like to be considered for this mechanism. The Travel Awards Chair reserves the right to approve / not approve a travel award nomination, based on seniority considerations with preference given to young scientists. It is likely that there will be fewer travel awards than workshops. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc.toussaint at ipvs.uni-stuttgart.de Thu Jan 9 09:06:31 2020 From: marc.toussaint at ipvs.uni-stuttgart.de (Marc Toussaint) Date: Thu, 9 Jan 2020 15:06:31 +0100 Subject: Connectionists: 2nd CFP: RSS 2020, paper submission deadline January 31 Message-ID: Dear all, we updated the paper submission deadline to *January 31st*. *CALL FOR PAPERS* Robotics: Science and Systems 2020 https://roboticsconference.org/ Oregon State University at Corvallis, July 12-17, 2020 We cordially invite you to submit your work to the 2020 Robotics: Science and Systems Conference, which will bring together researchers working on all aspects of robotics including scientific foundations, applications, and analysis of robotic systems. The paper submission deadline is on *January 31st, 2020*. The workshop submission deadline is on February 6th, 2020. The conference will be single-track, and the final program will be the result of a thorough review process to give attendees an opportunity to see the most exciting research in all areas of robotics. Submissions will be evaluated in terms of their novelty, technical quality, significance, potential impact, and clarity. The program will include invited talks as well as oral and poster presentations of accepted papers. The three-day main session will be preceded by two days of workshops. Highlights of R:SS 2020: * We put together a great set of Area Chairs that cover all areas of robotics. With this we are actively seeking papers broadly in all areas, including method oriented as well as application oriented research, mechatronics and system design, field robotics, HRI, etc. At submission, authors will be able to vote for ACs that they believe can best handle their paper during submission. See https://roboticsconference.org/ for the list of ACs. * The review process will explore a new rebuttal format, with author rebuttals being directed to the ACs directly. Anonymous reviews will be made public together with accepted papers. * We will have a Best Paper Award, Best Systems Paper Award, Best Student Paper Award, and for the first time a Test of Time Award. The Best Systems Paper Award is dedicated to papers that pioneer novel robotic systems (e.g. hardware or mechatronics) or novel behaviors on a robotic system that are beyond what has been seen before. * The program will include single track oral and poster presentations of all accepted papers, as well as invited talks. The three?day main conference will be preceded by two days of workshops. * Selected papers will be invited for submission to special issues of the International Journal of Robotics Research and Autonomous Robots, and for expedited review as regular submissions to the IEEE Transactions on Robotics. Important Dates: Paper Submission Deadline: January 31st, 2020 Workshop Submission Deadline: February 6th, 2020 Workshop Acceptance Notification: March 6th, 2020 Paper Acceptance Notification: April 16th, 2020 Workshops: July 12th - 13th, 2020 Main Conference: July 14th - 16th, 2020 Submission information will be available soon at: https://roboticsconference.org/information/authorinfo Finally, we want to also mention the opportunity to submit contributions to RSS workshops. Please stay alert to the list of accepted workshops, which will be published at around March 6. Best, Marc Toussaint (Program Chair) & Jun Morimoto (Publicity Chair) From Menno.VanZaanen at nwu.ac.za Fri Jan 10 02:13:56 2020 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Fri, 10 Jan 2020 09:13:56 +0200 Subject: Connectionists: 1st Call for Papers: First workshop on Resources for African Indigenous Language (RAIL) @ LREC2020 Message-ID: <5E182434020000AE0029A116@v-pgw-nlx2.p.nwu.ac.za> First call for papers First workshop on Resources for African Indigenous Language (RAIL) http://bit.ly/sadilar_rail2020 The South African Centre for Digital Language Resources (SADiLaR) is organizing a workshop 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 International Standard Language Resource Number (ISLRN, www.islrna 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 ruben.coen-cagli at einsteinmed.org Thu Jan 9 10:04:36 2020 From: ruben.coen-cagli at einsteinmed.org (Ruben Coen-Cagli) Date: Thu, 9 Jan 2020 15:04:36 +0000 Subject: Connectionists: Postdoc in New York in computational neuroscience In-Reply-To: References: Message-ID: **Apologies for cross posting Postdoc in New York in computational neuroscience The Laboratory for Computational Neuroscience (Coen-Cagli lab) invites applications for a postdoctoral position in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (AECOM) in New York City. We are looking for a highly creative and motivated individual to work on a NIH funded project that addresses perceptual grouping and segmentation, using visual psychophysics in human participants and machine learning algorithms for segmentation. The project is a collaboration with the laboratory of Pascal Mamassian at Ecole Normale Superieure, Paris, and the fellow will have the opportunity for substantial interactions with and travel to the Mamassian lab. Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research, and a keen interest in interdisciplinary approaches to biological and neural systems. The ideal candidate has substantial prior experience in either computer vision or visual psychophysics; a strong background in computational neuroscience; and advanced analytical and programming skills. Our lab studies how biological sensory systems interpret the surrounding environment. Topics include probabilistic representations of natural images, models of selectivity and variability in large cortical populations, perceptual uncertainty. We combine theories of probabilistic neural coding, computer vision and machine learning, psychophysics, and neurophysiology through collaborations. Close interaction and collaboration with other members of the lab and the department is anticipated. AECOM offers a vibrant interdisciplinary environment, with a growing systems and computational contingent. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan. Information about working at the AECOM, including benefits and housing for postdocs, can be found at: https://einsteinmed.org/research/belfer-institute/ The position starts in spring/summer 2020, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli at gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentina.ivanova at ri.se Thu Jan 9 15:43:04 2020 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Thu, 9 Jan 2020 20:43:04 +0000 Subject: Connectionists: [CfP] ESWC 2020 - P&D, Industry Track & Ph.D. Symposium 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 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: https://2020.eswc-conferences.org/tutorials-workshops/ 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 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/ From lpulina at uniss.it Fri Jan 10 08:31:35 2020 From: lpulina at uniss.it (Luca Pulina) Date: Fri, 10 Jan 2020 14:31:35 +0100 Subject: Connectionists: [CfP] SAT2020 - The 23rd International Conference on Theory and Applications of Satisfiability Testing Message-ID: <52d0e992-e0b6-35f2-bfe1-77c9384a56b3@uniss.it> ******************** 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 15, 2020 Paper submission ? ? ? ? February 22, 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 georg.martius at tuebingen.mpg.de Fri Jan 10 05:52:00 2020 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Fri, 10 Jan 2020 11:52:00 +0100 Subject: Connectionists: Call for Abstracts: 10th International Conference on Guided Self-Organisation in Edinburgh (GSO-2020) Message-ID: <1b7eff97-ffe5-1891-88e3-9f1bbdc765e4@tuebingen.mpg.de> Dear colleagues, This is an announcement and Call for Abstracts for the 10th International Conference on Guided Self-Organisation (GSO-2020) --- Challenges in Theory and Opportunities in Robotics --- which is to be held at University of Edinburgh, UK, June 8-10, 2020. http://blogs.ed.ac.uk/gso2020/ The conference is the 10th in a series that bring together researchers from diverse backgrounds who share an interest in understanding, designing and applying self-organising systems. Of particular interest are well-founded and general methods for characterizing and creating systems that can be guided towards pre-specified goals by exploiting their intrinsic dynamics through gentle control actions. Likewise of interest are applications of the power of self-organisation in robotics, machine learning, biological modelling and related areas. Submissions to the workshop are extended abstracts (1 ? 2 pages). If you are interested in participating, please submit an extended abstract by 22 February 2020 via http://easychair.org/conferences/?conf=gso2020 The notifications about acceptance will be send out by 20th of March 2020. Authors of accepted submissions will present their contributions at the conference. Full papers of selected contributions will be published in a special journal issue in Complex Systems and/or Frontiers in Neurorobotics. For more information, please consult the above website or send an e-mail to: gso-2020 at ed.ac.uk Best wishes, Simon Smith, Calum Imrie, and J. Michael Herrmann (GSO-2020 Local organisers) Nihat Ay, Carlos Gershenson, Georg Martius, Daniel Polani, Mikhail Prokopenko, Justin Werfel, Larry Yaeger (The International Association for GSO, Steering committee) http://www.guided-self.org/ -- ----------------------------------------------------------------- Dr. Georg Martius Group Leader Autonomous Learning Group Max Planck Institute for Intelligent Systems Max-Planck-Ring 4, 72076 Tuebingen, Germany http://al.is.mpg.de -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 195 bytes Desc: OpenPGP digital signature URL: From publicity at cikm2020.org Fri Jan 10 07:04:27 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Fri, 10 Jan 2020 12:04:27 +0000 Subject: Connectionists: CIKM2020 - Call for Research Papers Message-ID: *Apologies for cross-posting* ** FIRST CALL FOR PAPERS ** *29th ACM International Conference on Information and Knowledge Management (CIKM 2020)* Galway, Ireland October 19th-23rd, 2020 https://cikm2020.org/call-for- *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- -------------- next part -------------- An HTML attachment was scrubbed... URL: From felipe at cos.ufrj.br Fri Jan 10 20:01:05 2020 From: felipe at cos.ufrj.br (Felipe Maia Galvao Franca) Date: Fri, 10 Jan 2020 22:01:05 -0300 Subject: Connectionists: MPP 2020: 9th Workshop on Parallel Programming Models - Special Edition on IoT, Edge/Fog computing: Machine Learning and Security Message-ID: MPP 2020: 9th Workshop on Parallel Programming Models - Special Edition on IoT, Edge/Fog computing: Machine Learning and Security Hilton New Orleans Riverside New Orleans, LA, United States, May 19-22, 2020 Conference website http://www.mpp-conf.org/ Submission link https://easychair.org/conferences/?conf=mpp2020 Abstract registration deadline February 18, 2020 Submission deadline February 21, 2020 Topics: machine learning security iot parallel computing Recent publications show that, since it is clear that machine learning has become ubiquitous, it is necessary to produce research to increase currently ML algorithms' performance, power consumption and, most importantly as of recently, security. The performance issues are quite clear to understand and have been addressed by multiple researchers either with new algorithms for model compression/parallelization or with new specific hardware. Roughly speaking, it is possible to categorize the security threats against ML models in privacy leakage and model evasion ("fooling" the system into making wrong decisions). This edition of the Workshop on Parallel Programming Models (MPP) is focused on addressing theses issues which are of the utmost importance for the Machine Learning community at this point. When addressing the performance aspect of Machine Learning, there is also the issue of the amount of data used for training deep-learning models. In the case of Big Data, the application of in-memory computing (which was the main topic in MPP 2019) can be essential to reduce the gap between data and the ML model, in terms of latency. MPP aims at bringing together researchers interested in presenting contributions to the evolution of existing models or in proposing novel ones, considering the trends on Machine Learning, In-Memory Computing and Security. MPP 2020 will be held in conjunction with The 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2020), in New Orleans, Louisiana, USA, on May 22, 2020. List of Topics Topics of interest include (but are not limited to): Compression of Deep-Learning Models; Tools for ML Model design; Hardware specifically designed for Machine Learning; In-Memory Computing; Novel Deep Neural Networks architectures; Error Detection/Recovery in ML systems; Robust Neural Networks; Privacy of data in ML systems; Robustness of decision making ML systems; Neural networks inference and training on IoT, Fog, Edge and cloud environments; Machine Learning for Parallel Applications and IoT. Submission Guidelines MPP invites authors to submit unpublished full and short papers on the subjects. Submissions must be in English, 8 pages maximum for full papers and 4 pages for short papers, following the IEEE formatting guidelines. Page limits include references. Papers must be submitted by Feb, 18, 2020, in the following url: https://easychair.org/conferences/?conf=mpp2020 Committees Program Committee Tiago Alves (State University of Rio de Janeiro) Luciana Arantes (Universite Pierre et Marie Curie-Paris6) Cristiana Bentes (State University of Rio de Janeiro) Cristina Boeres (Fluminense Federal University) Maria Clicia Castro (State University of Rio de Janeiro) L?cia Drummond (Fluminense Federal University) Felipe M.G. Fran?a (COPPE-UFRJ) Roberto Giorgi ( University of Siena) Rekai Gonzalez-Alberquilla Dalvan Griebler (PUCRS/SETREM) Konstantinos Krommydas (Intel) Nithesh Kurella (AMD) Arthur Lorenzon (Federal University of Pampa) Leandro A. J. Marzulo (Google) Gabriele Mencagli (University of Pisa) Elias Mizan (Esperanto Technologies) Edward David Moreno (UFS - Federal University of Sergipe) Alexandre Nery (Universidade de Bras?lia) Carla Osthoff Barros (National Laboratory for Scientific Computing LNCC) Mauricio Pilla (Google) Andrew Putnam Alexandre Sena (State University of Rio de Janeiro) Silvio Stanzani (Universidade Estadual Paulista - UNESP) Kazutomo Yoshii (Argonne National Laboratory) Contact All questions about submissions should be emailed to tiago at ime.uerj.br -- ??????????????????????????????? Felipe M. G. Fran?a, PhD Invited Professor of Computer Science and Engineering Systems Engineering and Computer Science Program, COPPE Universidade Federal do Rio de Janeiro P.O. Box 68511, 21941-972, Rio de Janeiro, RJ, Brazil felipe at ieee.org felipe at cos.ufrj.br ??????????????????????????????? -------------- next part -------------- An HTML attachment was scrubbed... URL: From joni.pajarinen at tuni.fi Sat Jan 11 05:52:03 2020 From: joni.pajarinen at tuni.fi (Joni Pajarinen (TAU)) Date: Sat, 11 Jan 2020 10:52:03 +0000 Subject: Connectionists: PhD Student Position in Reinforcement Learning at Tampere University, Finland Message-ID: We are seeking a talented PhD student for a four year fully funded position at Tampere University, Finland with strong interest in Reinforcement Learning and * Robot Learning * Reinforcement Learning under Partial Observability The main task of the PhD student will be to develop new state-of-the-art reinforcement learning (RL) methods that allow agents, or, robots to operate in unstructured partially observable real world environments found in household robotics, agile manufacturing, work sites of mobile heavy machines, elderly care, handling dangerous materials, or even disaster scenarios such as Fukujima. The research focus will be on developing reinforcement learning method techniques related to partial observability, memory representations, exploration, Bayesian reinforcement learning, and Monte Carlo tree search. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to (some of) these research topics in your Letter of Motivation. Outstanding students and researchers from the areas of Reinforcement Learning and related areas including Machine Learning, Control Engineering, Computer Vision, Robotics, Statistics & Optimization, or Mathematics & Physics are welcome to apply. The candidate is expected to conduct independent research and at the same time contribute to the topics listed above. Successful candidates can furthermore be given the opportunity to work with undergraduate, M.Sc. and PhD students. The research group collaborates at Tampere University with research groups in computer vision, robotics, mobile heavy machines, manufacturing, finance, physics, and human-robot interaction, and, internationally with research groups in reinforcement learning, imitation learning, robot learning, multi-agent systems, and robot motion planning. Moreover, two of the PhD students in the research group are located at the Intelligent Autonomous Systems institute at TU Darmstadt, Germany so there will be ample opportunities for international collaboration. WE OFFER The position will be filled for a fixed-term period of maximum four (4) years. The starting date is 2 March 2020 or as mutually agreed. The salary will be based on both the job requirements and the employee?s personal performance in accordance with the salary system of Finnish universities. According to the criteria applied to teaching and research staff, the position of a Doctoral Researcher is placed on level 2?4 of the job requirements scale. A typical starting salary for Doctoral Researchers is approximately 2300 EUR/month. The salary increases with experience. We offer a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and caf?s on campus with staff discounts. HOW TO APPLY Please submit your application through our online recruitment system using this link: https://tuni.rekrytointi.com/paikat/?o=A_A&jid=312 The closing date for applications is 26.1.2020 (23:59 EEST (GMT+3)). Please write your application and all the accompanying documentation in English and attach them in PDF format. Please attach only the following documents to your application: * A letter of motivation and description of your research interests (max. 1 page) * Curriculum vitae according to the TENK template (including the contact details of two referees). * A list of publications (if any) as a part of the curriculum vitae * PDF copy of your MSc and BSc degree certificates, including transcripts of all university records and their English translations (Finnish and Swedish certificates are also accepted) For further information, please contact: Assistant Professor, Research Group Leader, Joni Pajarinen, joni.pajarinen at tuni.fi, tel. +358 50 4771303 ABOUT THE RESEARCH GROUP The research group lead by Assistant Professor Joni Pajarinen operates in the intersection of artificial intelligence and robotics. In particular, we focus on reinforcement learning, robotic manipulation, decision making under partial observability, imitation learning, and decision making in multi-agent systems. The goal of the research group is to help robots understand what they need to learn in order to perform their assigned tasks, and, thus, make robots capable of operating on their own and pro-actively help humans. To accomplish these goals the research group develops novel decision making methods and uses these methods to solve unsolved robotic tasks. For more information, please see https://research.tuni.fi/liar/ ABOUT TAMPERE UNIVERSITY Tampere University is one of the top universities in Finland, and is well known for its research and teaching. The university has recently invested heavily in intelligent machines and has strong industrial collaboration with companies developing semi-autonomous machines. The research group is part of the Computational Sciences unit, largest unit in the university. More information can be found from https://en.wikipedia.org/wiki/Tampere_University WORKING AND STUDYING IN FINLAND Finland has been assessed to be among the best countries in the world with respect to many quality of life indicators, including being the overall #1 country in human wellbeing. Finland is among the leading countries in ICT & Digitalization, from 5G networks to financial technology, artificial intelligence and AR/VR innovations to IoT, digital education and health solutions. Finland?s booming gaming industry is led by companies like Supercell (Clash of Clans) and Rovio (Angry Birds). Almost everyone in Finland understands English. More information about Finland can be obtained from https://en.wikipedia.org/wiki/Finland From rsun at rpi.edu Sat Jan 11 21:42:26 2020 From: rsun at rpi.edu (Professor Ron Sun) Date: Sat, 11 Jan 2020 21:42:26 -0500 Subject: Connectionists: WCCI/IJCNN 2020: submission deadline has been extended to 30 Jan 2020. Message-ID: <86BB620D-CA2C-4D06-9498-9BE5565EE548@rpi.edu> IEEE World Congress on Computational Intelligence 2020 19-24 July 2020, Scottish Event Campus, Glasgow, UK. www.wcci2020.org The paper submission deadline has been extended by 15 days, to 30 Jan 2020. This is the world's largest technical event in the field of Computational Intelligence. It hosts three flagship conferences under one roof: IJCNN - International Joint Conference on Neural Networks (cooperation between IEEE-CIS & INNS) FUZZ-IEEE - IEEE International Conference on Fuzzy Systems IEEE-CEC - IEEE Congress on Evolutionary Computation This encourages cross-fertilisation of ideas among the three big areas and provides a forum for individuals from all over the world to discuss and present their research findings on computational intelligence. Important dates: 30 Jan 2020 Extended deadline for paper submission 15 Mar 2020 Paper Acceptance Notification 15 Apr 2020 Final paper submission & Early registration 19-24 Jul 2020 Conference Dates -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at cs.upc.edu Sun Jan 12 11:59:10 2020 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Sun, 12 Jan 2020 17:59:10 +0100 Subject: Connectionists: DEADLINE EXTENSION: IEEE WCCI/IJCNN special session on Explainable Computational/Artificial Intelligence Message-ID: Apologies for cross-posting =================== NEW DEADLINE: January 31st =================== IEEE WCCI/IJCNN 2020 Special Session on EXPLAINABLE COMPUTATIONAL/ARTIFICIAL INTELLIGENCE July 19-24, 2020, Glasgow, Scotland, UK. www.cs.upc.edu/~avellido/research/conferences/IJCNN2020-ssExplainableML.html Aims & Scope ------------ The spectacular successes in machine learning (ML) have led to a plethora of Artificial Intelligence (AI) applications. However, the large majority of these successful models, like deep neural networks, support vector machines, etc. are black boxes, opaque, non-intuitive and difficult for people to understand. There are critical domains that demand more intelligent, autonomous, and symbiotic systems, like medicine, security, legal, the military, finance and transportation, to mention a few, for which performance is not the only quality indicator. These are areas where decision-making faces high risks due to the involvement of human lives, critical infrastructure, very costly operations, national threats, etc. In situations like these, decision makers need much more that numeric performance in favor of alternative solutions that provide rationale and are more knowledge-based. The goal of Explainable AI (XAI) is to create a suite of ML techniques that i) result in more explainable models, while maintaining a high level of learning performance, but also ii) enable human users to develop understanding to be able to trust the model, and effectively manage a new generation of artificially intelligent machine tools. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the machines' current inability to explain their decisions and actions to human users. This session will explore the performance-versus-explanation trade-off space. This will include ML models that are interpretable by design. Some, like fuzzy systems and rule induction, have general function approximation properties. Very important are also algorithms producing models in mathematic languages such as algebraic functions and differential equations, piecewise non-linear models, etc. Despite of the differences in the approaches, there are common elements and basic methodologies that are present in many applications.? We will bring together researchers from different fields to discuss key issues related to the research and applications of XAI methods and to share their experiences of solving common problems. Topics that are of interest to this session include but are not limited to:- ?? ? Interpretable ML Models ?? ? Query Interfaces for Deep Learning ?? ? Interactive User Interfaces ?? ? Active and Transfer learning ?? ? Relevance and Metric Learning ?? ? Practical Applications of Interpretable Machine Learning ?? ? Deep Neural Reasoning NEW Dates --------------- Paper submission: January 31, 2020 Paper decision notification: March 15, 2020 Session Chairs -------------- Julio J. Vald?s (National Research Council Canada) Paulo J.G. Lisboa, Sandra Ortega-Martorell, Iv?n Olier (Liverpool John Moores University, U.K.) Alfredo Vellido (Universitat Polit?cnica de Catalunya, Spain) Submission: https://ieee-cis.org/conferences/ijcnn2020/upload.php -------------- next part -------------- An HTML attachment was scrubbed... URL: From events.biopsych at ovgu.de Mon Jan 13 03:13:42 2020 From: events.biopsych at ovgu.de (events.biopsych at ovgu.de) Date: Mon, 13 Jan 2020 08:13:42 +0000 Subject: Connectionists: Reminder: Deep Neural Network workshop (July 2020, Magdeburg, Germany) In-Reply-To: <20191115123332.Horde.rgH1dlrAK0HVOan6pZCHUta@webmailer.ovgu.de> Message-ID: <20200113081342.Horde.LEPQe2u7cTXEGU_tC9mKQGS@webmailer.ovgu.de> Please forward this mail to anyone who might be interested in attending the workshop. ----- Dear fellow scientists, The 4th Modelling Symposium in Magdeburg (27.07.2020 - 31.07.2020) will provide you with an introduction into Deep Neural Networks (DNNs) covering a wide range of topics, including basic introductions into DNNs, common building blocks, design patterns and architectures, best practices, optimization, applications etc. For more details and registration, please visit our website: https://www.noesseltlab.org/events-presentations/4th-modelling-symposium/ Summary/ General information: ? The Symposium takes place in July (27.07.2020 - 31.07.2020, 4-day Workshop) in Magdeburg, Germany. ? The registration deadline is March, 27th (2020). ? The costs of the workshop are 0 ? (NWG member) and 125 ? (non-NWG member). ? There are possibilities to present your research/research idea (Poster) and discuss your project ideas/data with our tutor. ? Depending on participants? choice, there will be catering and as usual, we will have a social event (dinner). Looking forward to see you in Magdeburg, Felix Ball, Nico Marek, & T?mme Noesselt From lucas.bechberger at uni-osnabrueck.de Mon Jan 13 03:06:19 2020 From: lucas.bechberger at uni-osnabrueck.de (Lucas Bechberger) Date: Mon, 13 Jan 2020 09:06:19 +0100 Subject: Connectionists: 2nd CfA CARLA 2020 @ Bolzano Summer of Knowledge Message-ID: <5d0359b6-13dc-a452-0441-d1969d2e6b4b@uni-osnabrueck.de> The first international workshop ?Concepts in Action: Representation, Learning, and Application? (https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2018.html) took place at the Institute of Cognitive Science of Osnabr?ck University in 2018. Following its great success, we are organizing a second international workshop ?Concepts in Action: Representation, Learning, and Application? (CARLA) in 2020. We invite the submission of extended abstracts to the workshop for oral or poster presentations. *Time and Venue: * September 22 and September 23, 2020, in Bolzano (Italy), as part of the Bolzano Summer of Knowledge (https://summerofknowledge.inf.unibz.it/) *Invited **Speakers**:* /Mattis List //(https://www.shh.mpg.de/person/51419), Max Planck Institute for the Science of Human History, Jena (Germany)/ /Marianna Bolognesi (//https://mariannabolognesi.academia.edu///), University of Bologna, Bologna (Italy)/ *Call for Abstracts:* "Concepts in Action: Representation, Learning, and Application" (CARLA) is an international workshop aimed at fostering interdisciplinary exchange about research on concepts. It invites contributions from all fields related to cognitive science, including (but not limited to) linguistics, artificial intelligence, psychology, philosophy, logic, and computer science. Although the workshop is open for research on any aspect of concepts, there exists a set of core topics that are of special interest: * *Representation*: /How can we formally describe and model concepts?/ * *Learning*: /Where do concepts come from and how are they acquired?/ * *Application*: /How are concepts used in cognitive tasks?/ This workshop provides an excellent opportunity to present and discuss ongoing research on concepts. We invite concept researchers from all fields related to cognitive science to submit abstracts to the workshop for oral or poster presentations. *Submission and Publication:* We invite the submission of extended abstracts via *until ***April 30, 2020**. We will send out acceptance notifications by May 31, 2020. The extended abstracts can use up to three pages (including references) and should be uploaded as pdf based on the following template (LaTeX or Word) which is based on Springer?s LNCS style: https://www.conceptuccino-cms.uni-osnabrueck.de/fileadmin/documents/public/Documents/CARLA_2020/abstract_template.zip For both submission and publication of the accepted abstracts, we use OpenReview.net: https://openreview.net/group?id=conceptuccino.uni-osnabrueck.de/CARLA/2020/Workshop *Further Information:* More information can be found on our website: https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2020.html Should you have any questions, please contact us anytime at concepts at uni-osnabrueck.de . Best regards, The organizing committee (Lucas Bechberger, Ulf Krumnack, Kai-Uwe K?hnberger, Mingya Liu) -- Lucas Bechberger Artificial Intelligence Research Group Institute of Cognitive Science Osnabr?ck University Wachsbleiche 27, Room 50/310 D-49090 Osnabr?ck Phone: +49-541-969-3400 E-Mail: lucas.bechberger at uni-osnabrueck.de Homepage: https://www.lucas-bechberger.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5406 bytes Desc: S/MIME Cryptographic Signature URL: From pkoenig at uos.de Sun Jan 12 11:43:21 2020 From: pkoenig at uos.de (=?UTF-8?Q?Peter_K=c3=b6nig?=) Date: Sun, 12 Jan 2020 17:43:21 +0100 Subject: Connectionists: Research assistant (PhD position) in the European School of Network Neuroscience (EuSNN). Message-ID: <4e826b95-3e46-04de-6dc5-d0bbbb877ad2@uos.de> Research assistant (PhD position) in the European School of Network Neuroscience (EuSNN). About the project: 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. euSNN will combine and train all approaches relevant for investigation of brain networks, including (f)MRI, M/EEG, in-vivo recordings, analysis, modelling, network modulation with optogenetics or non-invasive neurostimulation and studies on network changes in neurological disorders. Be part of it. The tendered position is funded by a Marie Curie grant, in which we participate together with more than 10 top international Universities. (Secondments at several partner laboratories are part of the training.) The partner SciCovery will work on online assessment of stroke and PD patients with altered network dynamics and, thus, affected cognitive capacities, enables us to better understand the effects found in the lab and generalize them to the overall population. For this purpose the early stage researcher (ESR) will further develop the Labvanced platform (https://www.labvanced.com) , which is one of the most advanced internet systems for online research (web-based experiments). Labvanced offers researchers the possibility to create, share and record complex online experiments using an easy to use graphical interface. On top of this, we offer brand new features using latest web technologies, such as webcam based eyetracking, audio recordings, real time interaction for multiple participants. Labvanced is now used by many research institutes world-wide. About the job: This exciting job offer combines web development, scientific research and interaction with several other research groups, data analysis, and the experience of working in a startup environment. Funding is provided by the EU?s Marie Curie (Horizon 2020) program for 3 years with a full time contract. This position is tendered in collaboration with the research group of Prof. Peter K?nig at the Institute of Cognitive Science, University of Osnabr?ck (Germany). Skills and Qualifications: Excellent MSc degree in Cognitive Science, Computer Science, Computational Neuroscience or related fields. Profound knowledge of at least one higher level programming language (e.g. Javascript, Python, Java). Interest in creating, conducting, and analyzing behavioral experiments. Be able to work independently in an organized and reliable manner. Experience with git workflows. English (Intermediate level or above) is required, both verbal and in writing. Please note the eligibility criteria for researchers in Marie Sklodowska-Curie ITNs: They 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. Germany) for more than 12 months in the 3 years immediately before the recruitment date. Bonus Points: Interest to work in a startup environment and interaction within an international collaboration, including performing secondments at partner sites. Familiarity with JavaScript, HTML5, CSS3, Node.js. or databases. Proficient understanding of cross-browser and cross-platform (Windows, Linux, Android) compatibility issues. Experience with experimental designs and data analysis Interest to create online assessment tools for stroke and PD patients. Interested in community management and supporting other researchers on our platform. Key Responsibilities: Develop and improve features on the Labvanced platform. Implement a test battery / online assessment capabilities for stroke and PD patients to assess affected cognitive capacities. Monitoring during the data acquisition process and support for longitudinal studies on mobile systems. Collaborate with scientific partners of the Marie Curie consortium for the validation of the test battery and for the data analysis. Analyze the recorded behavioral data in a professional scientific way. Write up concise and meaningful summaries / presentations as well as prepare documents for peer-reviewed publications. What we offer: Obtain a PhD in Cognitive Science from the University of Osnabr?ck while working in an IT-startup! Opportunities for both local and international travel and present your work at several conferences and workshops. Flexibility in self organising your working hours and location. Work in close collaboration with the interdisciplinary Neurobiopsychology group of Prof. Dr. Peter K?nig at the University of Osnabr?ck (see https://www.ikw.uni-osnabrueck.de/en/research_groups/neurobiopsychology.html ) Competitive salary with (full-time) employment for up to 3 years. Interested candidates please send your CV to: contact at labvanced.com, pkoenig at uos.de For further information about MSCA-ITN under EU H2020, see: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/marie-sklodowska-curie-actions -- Prof. Dr. Peter K?nig, Institute of Cognitive Science, University Osnabr?ck From antonino.staiano at uniparthenope.it Mon Jan 13 06:50:50 2020 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Mon, 13 Jan 2020 12:50:50 +0100 Subject: Connectionists: DEADLINE EXTENSION: IEEE WCCI/FUZZIEEE 2020 special session on INFERENCE SYSTEMS: FUZZY AND NEURO-FUZZY PERSPECTIVES Message-ID: Apologies for multiple posting =========================== NEW DEADLINE: January 30 2020 =========================== IEEE WCCI/FUZZIEEE 2020 Special Session on INFERENCE SYSTEMS: FUZZY AND NEURO-FUZZY PERSPECTIVES July 19-24, 2020, Glasgow, Scotland, UK. (https://wcci2020.org) https://sites.google.com/view/cisslabssfuzzieee/home Aims and Scope In the field of Artificial Intelligence, an inference engine is a component of decision systems that applies logical rules to the knowledge base to deduce new information. Fuzzy inference systems represent an important part of Soft Computing for implementing fuzzy reasoning and in these last years, great interest has been devoted to adaptive neural-based models, especially with a deep structure. Fuzzy Inference systems have been successfully applied in fields such as automatic control, data classification, risk assessment, recommendation systems, decision analysis, expert systems, cybersecurity, signal processing, and computer vision. From recent researches inference systems have been emerging as powerful tools to mine, interpret and infer data and promise to pave the way for ever more techniques to take on this challenge. The aim of the special session is to host recent research advances in the field of inference systems based on Fuzzy and Neural-based Fuzzy models and to highlight research issues and still open questions. Potential topics include Soft Computing methodologies (but are not limited to): Fuzzy Logic Type-1 and Type-2 Fuzzy Inference Systems Approximate Reasoning Neutrosophic logic Rough-Sets Neuro-Fuzzy Systems Evolving Fuzzy Systems Granular Computing Deep Neural Networks when applied to: automatic control data classification risk assessment recommendation systems decision analysis expert systems signal processing computer vision cybersecurity Medicine GIS Furthermore, software tools designed for addressing any of the above topics, might be also considered relevant for the special session. Submission: https://ieee-cis.org/conferences/fuzzieee2020/upload.php Please select the single topic "Inference systems: Fuzzy and Neuro-Fuzzy perspectives" from the "Special Sessions" category as the main research topic on https://wcci2020.org/fuzz-sessions/ NEW Dates --------------- Paper submission: January 30, 2020 Paper decision notification: March 15, 2020 Session Chairs -------------- - Angelo Ciaramella, Universit? degli Studi di Napoli "Parthenope" - Giovanni Acampora, Universit? degli Studi di Napoli "Federico II" - Le Hoang Son, Vietnam National University, Hanoi - Antonino Staiano, Universit? degli Studi di Napoli "Parthenope" Antonino Staiano, PhD Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From annalisa.riccardi at strath.ac.uk Mon Jan 13 06:45:54 2020 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Mon, 13 Jan 2020 11:45:54 +0000 Subject: Connectionists: DEADLINE EXTENDED: Call for papers: Special Session on Intelligent Control @ WCCI2020 In-Reply-To: References: Message-ID: Dear Colleague, I am glad to let you know that the paper submission deadline for the WCCI2020 now is extended to the 30th of January, 2020. https://wcci2020.org/calls/#call-for-papers Please consider submitting a paper to our special session on "Intelligent Control: Methods and Applications". The submission to the session can be accessed via the link to the IJCNN subconference within the WCCI https://ieee-cis.org/conferences/ijcnn2020/upload.php Best regards, Annalisa Riccardi Edmondo Minisci ________________________________ From: Annalisa Riccardi Sent: 19 December 2019 16:55 Subject: Call for papers: Special Session on Intelligent Control @ WCCI2020 Dear Colleague, (with apologies if you receive multiple copies) We invite you to submit your research on Intelligent Control (Methods and Applications) to our special session @WCCI2020. We would be grateful if you can forward this mail to colleagues and potential contributors. IEEE World Congress on Computational Intelligence 2020 in Glasgow, Scotland, United Kingdom 19-24 July 2020 Special session chairs: Riccardi A., Minisci E. Website Link: http://icelab.uk/news-events/ssic_at_wcci2020/ Important Dates 15th of January 2020: deadline for paper submission 15th of March 2020: notification of acceptance 15th of April 2020: final paper submission Topics: authors are invited to submit papers on one or more of the following topics (include but not limited to): * Learning and adaptive control * Optimal control * Robust control systems * Autonomous systems * Fuzzy logic control systems * Neural control systems * Evolutionary control systems * Knowledge based systems * Fault detection isolation and recovery * Real time control * On board control * Control under uncertainty * Hybrid intelligent control methods * Applications and benchmarks of intelligent control Best regards, Dr Annalisa Riccardi, ICE Lab, Aerospace Centre of Excellence, University of Strathclyde (Glasgow, UK) Dr Edmondo Minisci, ICE Lab, Aerospace Centre of Excellence, University of Strathclyde (Glasgow, UK) -------------- next part -------------- An HTML attachment was scrubbed... URL: From miguel.solis at innovacionyrobotica.com Mon Jan 13 10:27:59 2020 From: miguel.solis at innovacionyrobotica.com (=?UTF-8?Q?Miguel_Sol=C3=ADs?=) Date: Mon, 13 Jan 2020 12:27:59 -0300 Subject: Connectionists: [ICDL-2020] Extended Call for Workshops and Special Sessions Message-ID: [Apologies if you receive multiple copies of this call due to cross-posting] CALL FOR WORKSHOPS AND SPECIAL SESSIONS: 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 ==== Workshop Proposals Open: 15th December 2019 Workshop Proposals Deadline (Extended): 29th January 2020 Workshop Proposals Notification: 15th February 2020 Workshops: 7th September 2020 ==== Overview ==== We invite experts in different areas to organize either a half-day or full-day tutorial, special session or a workshop. The goal of the workshops is to provide an informal forum for researchers to discuss emerging research questions and challenges. Tutorials will provide insights into specific topics through hands-on training and interactive experiences. Workshop organizers have several responsibilities, including coordinating workshop participation and content, publicizing and providing the program on time and moderating the program throughout the workshop. ICDL will support the organization with rooms, audio-visual equipment, coffee breaks and poster boards. ==== 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 and Workshops]?. Proposals should specify the following: - Title - Organizers - Duration (half-day or full-day) - A brief description of the topics to be covered - List of speakers (if available) - Tentative program - Target audience and interested groups - Whether it is open to paper/poster/demonstration submissions - 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 jpezaris at gmail.com Mon Jan 13 10:16:02 2020 From: jpezaris at gmail.com (John Pezaris) Date: Mon, 13 Jan 2020 10:16:02 -0500 Subject: Connectionists: AREADNE 2020 2nd Call for Abstracts: Submission Open Message-ID: AREADNE 2020 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 16-20 June 2020 http://areadne.org info at areadne.org *** SECOND CALL FOR ABSTRACTS: SUBMISSION OPEN *** Dear Colleague, We are pleased to announce solicitation of abstracts for poster presentation at AREADNE 2020, 16-20 June 2020, our eighth meeting to be held at the Nomikos Conference Centre in Santorini, Greece. Continuing with the same highly successful format, AREADNE 2020 will bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles. The meeting will provide an informal yet spectacular setting in which attendees can discuss their recent ideas and discoveries, with a relaxed pace that emphasizes interaction Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 24 January 2020; notifications will be provided by 21 February 2020. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info at areadne.org. We hope to see you at AREADNE 2020! --- John Pezaris and Nicholas Hatsopoulos AREADNE 2020 Co-Chairs info at areadne.org From horaciolf at gmail.com Mon Jan 13 13:16:38 2020 From: horaciolf at gmail.com (horaciolf at gmail.com) Date: Mon, 13 Jan 2020 18:16:38 +0000 Subject: Connectionists: Invitation: Data Science Research Engineer position at the NYU School... @ Sat 29 Feb 2020 (connectionists@mailman.srv.cs.cmu.edu) Message-ID: <000000000000f0e820059c097951@google.com> You have been invited to the following event. Title: Data Science Research Engineer position at the NYU School of Medicine The Center for Biomedical Imaging and the Center for Advanced Imaging Innovation & Research (CAI2R) at NYU Langone Health are looking for a highly motivated Research Engineer to join our interdisciplinary group and help us build data science infrastructure. The engineer will support ongoing research and development of machine learning methods for medical imaging applications, such as ML methods for accelerated MRI [1, 2, 3], breast cancer detection [4, 5, 6] and musculoskeletal [7] and brain image [8, 9, 10] analysis. Requirements include: - Passion for engineering and research. - BS in computer science, mathematics, physics, electrical engineering or a related discipline. MS or PhD is a plus. - Expert skills in Python. Skills in Tensorflow or PyTorch are a plus. - Good skills in using Linux. - Practical basic knowledge of... When: Sat 29 Feb 2020 Calendar: connectionists at mailman.srv.cs.cmu.edu Who: (Guest list has been hidden at organiser's request) Event details: https://www.google.com/calendar/event?action=VIEW&eid=MmZtY3BhOW9jZGRidGZmb3EyMWhnYzRiczIgY29ubmVjdGlvbmlzdHNAbWFpbG1hbi5zcnYuY3MuY211LmVkdQ&tok=MTkjaG9yYWNpb2xmQGdtYWlsLmNvbTU4MTVmNTgxY2U3OTRlNTMzMjU1ZTUwNTc0YmYxYTljMWIwOTNjNmM&ctz=America%2FSao_Paulo&hl=en_GB&es=0 Invitation from Google Calendar: https://www.google.com/calendar/ You are receiving this courtesy email at the account connectionists at mailman.srv.cs.cmu.edu because you are an attendee of this event. To stop receiving future updates for this event, decline this event. Alternatively, you can sign up for a Google Account at https://www.google.com/calendar/ and control your notification settings for your entire calendar. Forwarding this invitation could allow any recipient to send a response to the organiser and be added to the guest list, invite others regardless of their own invitation status or to modify your RSVP. Learn more at https://support.google.com/calendar/answer/37135#forwarding -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/calendar Size: 2285 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: invite.ics Type: application/ics Size: 2334 bytes Desc: not available URL: From horaciolf at gmail.com Mon Jan 13 13:17:28 2020 From: horaciolf at gmail.com (horaciolf at gmail.com) Date: Mon, 13 Jan 2020 18:17:28 +0000 Subject: Connectionists: Invitation: Finnish Center for Artificial Intelligenc... @ Mon 27 Jan 2020 (connectionists@cs.cmu.edu) Message-ID: <000000000000f21a64059c097c6d@google.com> You have been invited to the following event. Title: Connectionists: Finnish Center for Artificial Intelligence FCAI is looking for PhD students (Helsinki, Finland) Looking for an excellent funded PhD student position in machine learning / AI? The newly launched Finnish Center for Artificial Intelligence FCAI (https://fcai.fi) has open PhD student positions. FCAI is built on the long tradition and track record of decades of pioneering machine learning research in Helsinki. It was recently selected to host one of the first ELLIS (European Laboratory for Learning and Intelligent Systems) units that assemble European top talent in machine learning. With a total budget of ?250M over the next 8 years, FCAI is opening a range of research positions for academics and ICT professionals in different levels of their careers. The deadline for applications is January 27th, 2020. Please see the relevant topics at http://www.hict.fi/spring2020 for more information. Website: fcai.... When: Mon 27 Jan 2020 Calendar: connectionists at cs.cmu.edu Who: (Guest list has been hidden at organiser's request) Event details: https://www.google.com/calendar/event?action=VIEW&eid=NWhiMWtjNGg3ZnFsMjFrNTAyamM5YTY2djkgY29ubmVjdGlvbmlzdHNAY3MuY211LmVkdQ&tok=MTkjaG9yYWNpb2xmQGdtYWlsLmNvbTIyZmNkYWZjMDAxYjNhMjQwNmU4MDNjMmJhNGNkNTQzM2IyYTdjMTk&ctz=America%2FSao_Paulo&hl=en_GB&es=0 Invitation from Google Calendar: https://www.google.com/calendar/ You are receiving this courtesy email at the account connectionists at cs.cmu.edu because you are an attendee of this event. To stop receiving future updates for this event, decline this event. Alternatively, you can sign up for a Google Account at https://www.google.com/calendar/ and control your notification settings for your entire calendar. Forwarding this invitation could allow any recipient to send a response to the organiser and be added to the guest list, invite others regardless of their own invitation status or to modify your RSVP. Learn more at https://support.google.com/calendar/answer/37135#forwarding -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/calendar Size: 2253 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: invite.ics Type: application/ics Size: 2301 bytes Desc: not available URL: From naotsugu.tsuchiya at monash.edu Mon Jan 13 18:20:41 2020 From: naotsugu.tsuchiya at monash.edu (Nao Tsuchiya) Date: Tue, 14 Jan 2020 10:20:41 +1100 Subject: Connectionists: POST-DOC POSITION AT MONASH NEUROSCIENCE OF CONSCIOUSNESS Message-ID: Postdoc position available (up to 5 years) at Monash Neuroscience of Consciousness (MoNoC), Monash University, Melbourne, Australia. We are seeking outstanding postdoctoral research fellows with strong skills in computational or mathematical neuroscience, whose research ambition is to improve the objective detection of consciousness based on the state-of-art analysis of EEG data. If you are successful, you will work in Tsuchiya's lab at Monash, on our National Health Medical Research Council (NHMRC) Ideas grants (2020-2024). The project will involve the development and application of the novel computational analysis of neural recordings from multiple brain areas, recorded from patients with loss of consciousness due to brain injuries and general anaesthesia as well as continuous recording of sleep-wake cycles recorded from epilepsy patients. Our focus will be the test of "integrated information theory of consciousness" (Tononi 2004 BMC, 2016 NRN, Oizumi et al 2016 PLoS Comp & PNAS) as well as its comparison with massive library of data analysis tools, called "hctsa" developed by Ben Fulcher (Fulcher 2013 Roy J Soc Interface, Fulcher 2017 Cell Systems). You will work both independently and collaboratively with multiple PIs. PIs are Tsuchiya & Thomas Andrillon (Monash University, Australia) Ben Fulcher (University of Sydney, Australia) Olivia Carter, Hinze Hogendoorn, Wendyl D'Souza (University of Melbourne, Australia) in collaboration with Giulio Tononi & Melanie Boly (University of Wisconsin, USA) Steven Laureys & Olivia Gosseries (University of Liege, Belgium) Marcello Massimini (University of Milan, Italy) Hiroto Kawasaki & Kirill Nourski (University of Iowa, USA) Starting date is relatively flexible. Late-stage PhD students will be considered (only those with substantial publication records). If you are interested, please send your CV (up to 2 pages) to Nao Tsuchiya . Only highly strong candidates will be contacted through emails and interviews. Applications will be open until the ideal candidate is identified. -- -- Associate Professor Nao (Naotsugu) Tsuchiya, PhD School of Psychological Sciences Turner Institute for Brain and Mental Health * Brain Mapping and Modelling Program* Monash University 770 Blackburn Monash Biomedical Imaging facility, Clayton, VIC 3168 Australia T: +61 3 9905 4564 E: naotsugu.tsuchiya at monash.edu W: homepage: *https://sites.google.com/monash.edu/tlab/home?authuser=0 * Tw: @conscious_tlab 2. Visiting Researcher at Department of Dynamic Brain Imaging, Advanced Telecommunications Research (ATR), Japan 3. Visiting Researcher at CiNet, Osaka University, Japan orcid.org/0000-0003-4216-8701 -------------- next part -------------- An HTML attachment was scrubbed... URL: From horaciolf at gmail.com Mon Jan 13 15:34:01 2020 From: horaciolf at gmail.com (Horacio Franca) Date: Mon, 13 Jan 2020 17:34:01 -0300 Subject: Connectionists: Apologies for accidental spam Message-ID: Greetings all, While trying to set up reminders for certain deadlines I accidentally left this mailing list as a guest on google calendar. I apologize for the inconvenience. Sincerely, Hor?cio Fran?a -------------- next part -------------- An HTML attachment was scrubbed... URL: From poirazi at imbb.forth.gr Tue Jan 14 03:42:54 2020 From: poirazi at imbb.forth.gr (Yiota Poirazi) Date: Tue, 14 Jan 2020 09:42:54 +0100 Subject: Connectionists: DENDRITES 2020 Call for Abstracts In-Reply-To: References: Message-ID: DENDRITES 2020 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 27-30 June 2020 http://meetings.embo.org/event/20-dendrites *Organizing committee:* Yiota Poirazi, IMBB-FORTH, GR Kristen Harris, University of Texas-Austin, US Michael H?usser, University College London, GB Matthew Larkum, Humboldt University of Berlin, DE Dear Colleagues, We are pleased to announce solicitation of abstracts for short oral or poster presentation at the EMBO Workshop on DENDRITES 2020, that will take place in Heraklion, Crete on 27-30 June 2020. This is the 4th of a very successful series of meetings on the island of Crete that is dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries, in a relaxed atmosphere that emphasizes interaction. Please register and submit your abstract online at: http://meetings.embo.org/event/20-dendrites Submissions of abstracts are due by *February 15, **2020.* Notifications will be provided by March 10, 2020. Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to info at mitos.com.gr We look forward to seeing you at DENDRITES 2020! on behalf of the organizing committee, 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 cristian.rodriguezrivero at gmail.com Tue Jan 14 10:21:50 2020 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Tue, 14 Jan 2020 16:21:50 +0100 Subject: Connectionists: Extended CFP - Advances in Computational Intelligence for Applied Time Series Forecasting (ACIATSF) - IEEE WCCI -IJCNN 2020 In-Reply-To: References: Message-ID: *Special Session on: **Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF)* Link: http://www.inv.limac.efn.uncor.edu/?page_id=485 *International Joint Conference on Neural Networks (IJCNN 2020).**19 - 24th July 2020, Glasgow (UK) * https://wcci2020.org/ijcnn-sessions/ *Motivation* Over the past few decades, application of simple statistical procedures with considerable heuristic or judgmental input was the beginning of forecasting, then in the 80?s, sophisticated time series models started to be used by some of the dynamic system operators, and these approaches, were to become pioneering works in this field. Soft computing methods including support vectors regression (SVR), fuzzy inference system (FIS) and artificial neural networks (ANN) to time-series forecasting (TSF) has been growing rapidly in order to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision-making in many fields of the sciences. The purpose of this session is to hold smaller, informal meetings where experts in a particular field of forecasting can discuss forecasting problems, research, and solutions in the field of automatic control. There is generally a nominal registration fee associated with attendance. This session aims to debate in finding solutions for problems facing the field of forecasting. We wish to hear from people working in different research areas, practitioners, professionals and academicians involved in this problematic. *Scope* The session seeks to foster the presentation and discussion of innovative techniques, implementations and applications of different problems that are Forecasting involved, specially in real-world problems applied to control and automation. ? Time Series Analysis ? Time Series Forecasting ? Evaluation of Forecasting Methods and Approaches ? Forecasting Applications in Business, Energy and Price Demand, Hydrology and Rainfall ? Impact of Uncertainty on Decision Making ? Seasonal Adjustment ? Multivariate Time Series Modelling and Forecasting ? Marketing Forecasting ? Economic and Econometric Forecasting *Organizers:* Prof. Cristian Rodriguez Rivero, University of Amsterdam, c.m.rodriguezrivero at uva.nl, IEEE CIS, Co-Founder LA-CIS. Prof. Alvaro Orjuela Ca??n, Universidad del Rods, dorjuelaco at ieee.org, IEEE CIS, Co-Founder Board of Directors of LA-CIS. Prof. H?ctor Daniel Pati?o, Universidad Nacional de San Juan, Argentine, dpatino at inaut.unsj.edu.ar. IEEE CIS. Prof. Juli?n Antonio Pucheta, Universidad Nacional de C?rdoba, Argentine, jpucheta at efn.uncor.edu. Prof. Gustavo Juarez, Universidad Nacional de Tucum?n, Argentine, juarez.gustavo at ieee.org, IEEE CIS. Prof. Leonardo Franco, School of Engineering in Informatics, University of Malaga, Spain. lfranco at lcc.uma.es. IEEE CIS. *Submission guidelines and special issue:* Manuscripts should be prepared according to the standard format and page limit of regular papers according to the IEEE format. All submissions should follow the specifications of 2020 WCCI. Manuscripts will be submitted through the 2020 IEEE WCCI paper submission website and will be subject to the same peer-review procedure as the WCCI regular papers. Accepted contributions will be part of conference proceedings, which will be available in IEEEXplore. *Important Dates* Extended Paper submission due: 30th Jan. 2020 Notification of acceptance: 15th Mar. 2020 Camera-ready deadline: 15th Apr. 2020 Author registration deadline: 15th Apr. 2020 *Paper Submission: * https://ieee-cis.org/conferences/ijcnn2020/upload.php *Information about IEEE WCCI 2020:* https://wcci2020.org/ We look forward to receiving your high-quality submissions and discussions in our meeting!! Cristian Rodriguez Rivero, Ph.D., EE Doctor in Engineering Sciences, Electrical & Biomedical Engineer. Faculteit der Natuurwetenschappen, Wiskunde en Informatica Universiteit van Amsterdam LA-CIS Co-Founder, Board of Directors and Steering Committee (la-cci.org) Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar c.m.rodriguezrivero at uva.nl Cell: +31687697539 <%2B1%20%28530%29%20757-8827> -------------- next part -------------- An HTML attachment was scrubbed... URL: From rrhh at cttc.es Tue Jan 14 10:47:57 2020 From: rrhh at cttc.es (RRHH) Date: Tue, 14 Jan 2020 16:47:57 +0100 Subject: Connectionists: New researcher positions -Communication Networks Division In-Reply-To: References: Message-ID: <1fd267f1-f340-44fa-d94e-37c0349687d2@cttc.es> Dear @ll, This is to inform you the offer of two*new researcher positions.*** http://www.cttc.es/career/software-developer/ http://www.cttc.es/career/researcher-comm-networks/ Thanks for forwarding this information to any potentially interested candidates. Laura Casaus CTTC Av. Carl Friedrich Gauss 7, B-4 08860 Castelldefels Tel.: +34 93 645 29 00 rrhh at cttc.cat www.cttc.cat _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Tue Jan 14 18:14:35 2020 From: publicity at acsos.org (ACSOS 2020) Date: Tue, 14 Jan 2020 23:14:35 +0000 Subject: Connectionists: Autonomic Computing & Self-Organizing Systems: ACSOS 2020 CFP Message-ID: *** ACSOS 2020 - Call For Papers *** 1st Joint ICAC/SASO International Conference on Autonomic Computing and Self-Organizing Systems 17-21 August 2020 ? Washington, DC, USA https://2020.acsos.org/https://twitter.com/ACSOSconf ************************************* The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). For more information about the merger, as well as up-to-date news, see https://conf.researchr.org/news/acsos-2020 or follow us at https://twitter.com/ACSOSconf! *** Important Dates *** April 1, 2020: Abstract submission deadline April 8, 2020: Paper submission deadline June 8, 2020: Notification to authors July 8, 2020: Camera Ready Deadline August 17-21, 2020: ACSOS Conference! *** Challenge and Scope *** The complexity of current and emerging networks, software, and services can be characterized by issues such as scale, heterogeneity, openness, and dynamics, both internally and in the environment. These issues have led the software engineering, distributed systems, and systems management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, machine learning, chemistry, psychology, sociology, and biology) to find new ways of designing and managing such computing systems in a principled way. Yet challenges remain to build autonomic systems that exhibit the desirable self-* properties (i.e., self-organizing, self-adaptive, self-healing, self-aware, etc). The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive,? and self-organising. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, posters, demos, and a doctoral symposium. We invite novel contributions related to the fundamental understanding of autonomic computing, self-adaption and self-organization along with principles and practices of their engineering and application. The topics of interest include, but are not limited to: - Autonomic and Self-* system properties: robustness; resilience; resource efficiency; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness; - Autonomic and Self-* systems theory: bio-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; formal languages; queuing and control theory; requirement and goal expression techniques; uncertainty as a 1st class entity - Autonomic and Self-* systems engineering: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middleware; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems; - Data-driven management: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems or establishing self-awareness; - Mechanisms and principles for self-organisation and self-adaptation: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized systems; - Socio-technical self-* systems: human and social factors; visualization; crowdsourcing and collective awareness; - Hardware concepts for autonomic computing systems: self-* materials; self-construction; reconfigurable hardware; - Cross disciplinary research: approaches that draw inspiration from complex systems, organic computing, artificial intelligence, chemistry, psychology, sociology, and biology. We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including: - Smart grids, smart cities, homes, and manufacturing; - Cyber-physical systems; autonomous vehicles and robotics; traffic management; - Self-adaptive cybersecurity; - Internet of Things; - Cloud computing and data centers; - Fog/edge computing; - Hypervisors, operating systems, and middleware. *** Submission Instructions *** Research papers will be accepted as either long papers up to 10 pages or short papers up to 7 pages (including references) and formatted according to the standard IEEE Computer Society Press proceedings style guide. Please submit your papers electronically in PDF format using the ACSOS 2020 conference management system:https://acsos20.hotcrp.com/ Note that separate calls for Poster, Demo, and In-Practice Report Submissions will also be issued, as well as a call for participation in the Doctoral Symposium. The proceedings will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We would also like to highlight IEEE?s policies regarding plagiarism and Self-plagiarism: (https://www.ieee.org/publications/rights/plagiarism/id-plagiarism.html ). Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions. *** Review Criteria *** Papers should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. Both theoretical and empirical contributions should be highlighted, substantiated by formal analysis, simulation, experimental evaluations, or comparative studies. Appropriate references must be made to related work. Due to the cross-disciplinary nature of the ACSOS conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field. Authors are also encouraged to submit papers describing applications. Application papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain, and an evaluation of performance, usability, or comparison to alternative approaches. Experience papers are also welcome, especially if they highlight insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the ACSOS community. All submissions will be rigorously peer-reviewed and evaluated based on the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality. The conference organizers will select one paper to be awarded the Karsten Schwan Best Paper Award. Selected papers may also be invited for publication in a special issue journal on autonomic computing and self organizing systems. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pblouw at uwaterloo.ca Tue Jan 14 13:49:19 2020 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Tue, 14 Jan 2020 13:49:19 -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 mtista at gmail.com Wed Jan 15 00:08:15 2020 From: mtista at gmail.com (Massimo Tistarelli) Date: Wed, 15 Jan 2020 13:08:15 +0800 Subject: Connectionists: Last call for applications: XVII Int.l Summer School on Biometrics 2020 Message-ID: ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? *17th Int.l Summer School for Advanced Studies on Biometrics for Secure Authentication:* * BIOMETRICS, FORENSICS AND IDENTITY SCIENCE FOR HUMAN-CENTERED APPLICATIONS* *Alghero, Italy ? June 8-12 2020* *Contact:* tista at uniss.it http://biometrics.uniss.it *APPLICATION DEADLINE: February 15th 2020 *(download the application form at: http://biometrics.uniss.it) *A special keynote lecture will be given by:* *prof. Tomaso POGGIO* *Massachusetts Institute of Technology, Mc Govern Institute for Brain Research* >From the early days, when security was the driving force behind biometric research, today?s challenges go far beyond security. Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today ?Biometrics?. For the last seventeen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art. What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? What can we learn from human perception? How to deploy current Deep Learning approaches? How to deal with *adversarial attacks* in biometric recognition? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 17th edition, the courses will mainly focus on new and emerging issues: ? *Biometrics for social interactions and emerging applications;* ? *How to exploit new biometric technologies in forensic and security applications;* ? *Evaluation and assessment of biometric and forensic applications;* ? *Deep Learning for biometrics and forensic identification.* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. An advanced feature of this summer school will be some practical sessions to better understand, ?hands on?, the real potential of today?s biometric technologies. *Participant application* The school will be open to about 50 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The expected school fees will be in the order of 1,550 ? for Phd students and 2,100 ? for others (subject to change). The fees will include full board accommodation, all courses and handling material. *A limited number of scholarships, covering a portion of the fees, will be awarded to Phd students*, selected on the basis of their scientific background and on-going research work. Precedence will be given to active members of IAPR and IEEE. The scholarship request form can be downloaded from the school web site *http://biometrics.uniss.it* . Phd students, researchers and post-docs are encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Poster boards will be also available to all participants to display their current research advances. Send a filled application form (download from http://biometrics.uniss.it) together with a short curriculum vitae to: *Prof. Massimo Tistarelli ?* e-mail: *biometricsummerschool at gmail.com* *Advance pre-registration is strictly required by February 15th **2020* *School location* The school will be hosted by Hotel El Faro (*http://www.elfarohotel.it/* ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean sea. The property is beautifully immersed into the Capo Caccia bay. The hotel El Faro has a recently renovated conference center, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. *School Committee:* *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratory ? Michigan State University, USA *Distinguished lecturers from past school editions* *Josef **Bigun* Halmstad University ? Sweden *David Meuwly* Netherlands Forensic Institute ? NL *Thirimachos Bourlai* West Virginia University ? USA *Emilio Mordini MD* Responsible Technologies ? Italy *Vincent Bouatou* Safran Morpho ? France *Mark Nixon* University of Southampton ? UK *Deepak Chandra * Google Inc. ? USA *Alice O?Toole* University of Texas ? USA *Rama Chellappa* University of Maryland ? USA *Maja Pantic* Imperial College ? UK *John Daugman* University of Cambridge ? UK *Johnathon Phillips* NIST ? USA *Farzin Deravi* University of Kent ? UK *Nalini Ratha* IBM ? USA *James Haxby* Dartmouth University ? USA *Arun Ross* Michigan State University ? USA *Anil K. Jain* Michigan State University ? USA *Tieniu Tan * CASIA-NLPR ? China *Joseph Kittler* University of Surrey ? UK *Massimo Tistarelli* Universit? di Sassari ? Italy *Davide Maltoni* Universit? di Bologna ? Italy *Alessandro Verri* Universit? di Genova ? Italy *John Mason* Swansea University ? UK *James Wayman* University of San Jos? ? USA *Aldo Mattei* Arma dei Carabinieri ? Italy *Lior Wolf* Tel Aviv University ? Israel -------------- next part -------------- An HTML attachment was scrubbed... URL: From o.e.scharenborg at tudelft.nl Wed Jan 15 02:19:03 2020 From: o.e.scharenborg at tudelft.nl (Odette Scharenborg) Date: Wed, 15 Jan 2020 08:19:03 +0100 Subject: Connectionists: 2nd Call for Satellite Workshops, EUSIPCO, Amsterdam, 28 August 2020 - deadline January 24th In-Reply-To: References: Message-ID: Dear colleague, We invite proposals for half-day workshops that will be held together with EUSIPCO 2020. The workshops will take place on Friday afternoon August 28, at the same venue as the main conference, that is the ?Beurs van Berlage? in Amsterdam. We welcome proposals on emerging topics that are not anticipated to be fully explored in the main conference, as well as topics of focused interest, including presentations related to international, European and bilateral projects, or other collaborative projects. SUBMISSION Proposals should be submitted by email to the satellite workshop chairs Zekeriya Erkin and Odette Scharenborg via workshops at eusipco2020.org by January 24, 2020. The candidate workshop organizers will be notified of the decision on March 1, 2020. For more information, please see the flyer attached. Please be so kind to spread this information within your network. With kind regards, Zekeriya Erkin & Odette Scharenborg EUSIPCO Satellite workshops co-chairs -- Odette Scharenborg Associate Professor and Delft Technology Fellow Multimedia Computing Group Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology The Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Call for Satellite workshops - EUSIPCO 2020.pdf Type: application/pdf Size: 4471788 bytes Desc: not available URL: From a.dorrn at fz-juelich.de Wed Jan 15 05:06:23 2020 From: a.dorrn at fz-juelich.de (Anja Dorrn) Date: Wed, 15 Jan 2020 11:06:23 +0100 Subject: Connectionists: Call for Satellite Workshop Proposals, Bernstein Conference 2020 in Berlin Message-ID: Call for Satellite Workshop Proposals, Bernstein Conference 2020 in Berlin +++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops preceding the Bernstein Conference 2020 in Berlin at the Technical University. +++ ____ BERNSTEIN CONFERENCE The Bernstein Conference has established itself as the largest annual Computational Neuroscience conference in Europe attracting an international audience from across the world. The Satellite Workshops provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. www.bernstein-conference.de ____ IMPORTANT DATES - Satellite Workshops: September 29 ? 30, 2020 o Tuesday, Sep 29, 2 pm ? 6.30 pm o Wednesday, Sep 30, 8.30 am ? 12.30 pm - Main Conference: September 30 ? October 2, 2020 - Deadline for Satellite Workshop proposal submission: +++ March 31, 2020 +++ - Notification of workshop acceptance: planned in April 2020 ____ WORKSHOP PROPOSALS Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a series of talks. The Workshop Selection Committee will take scientific excellence, topical relevance and gender diversity into account as their selection criteria. Workshop proposals are welcome for either half-day or full-day workshops. Workshop Proposal Forms can be downloaded here: https://www.bernstein-network.de/en/bernstein-conference/2020/satellite-workshops Please submit the completed form to bernstein.conference at fz-juelich.de +++ Deadline: March 31, 2020 ? not to be extended +++ ____ FINANCIAL SUPPORT Workshop registration is free for all organizers and speakers of workshops. Workshop organizers will additionally receive a waiver for the main conference fee. From the accepted workshops up to ten workshops will be selected to receive financial support of up to 1500 ? each. ____ WORKSHOP SELECTION COMMITTEE Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Danielle Bassett Matthew Botvinick Peter Dayan Alain Destexhe Julijana Gjiorgjieva (Program Vice Chair) Tim Gollisch Stephanie Palmer Nathalie Rochefort Nicole Rust Elad Schneidmann (Program Chair) Gasper Tkacik ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Wed Jan 15 08:28:32 2020 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Wed, 15 Jan 2020 14:28:32 +0100 Subject: Connectionists: 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 yael at Princeton.EDU Wed Jan 15 11:51:34 2020 From: yael at Princeton.EDU (Yael Niv) Date: Wed, 15 Jan 2020 16:51:34 +0000 Subject: Connectionists: Early registration CLOSING for The Batsheva de Rothschild Workshop on Computational Psychiatry In-Reply-To: References: <8A1DD017-B82C-4A7E-A791-B2E64560AA95@princeton.edu> Message-ID: <3031ACFE-7938-4255-86EB-E8B6E892BFDC@princeton.edu> (please distribute) ======================================================= The Batsheva de Rothschild Workshop on Computational Psychiatry https://israelcomppsych.princeton.edu January 29-30, 2020, Geha Mental Health Center, Petach Tikva, Israel LAST CALL FOR REGISTRATION! Organizers: Eran Eldar, Ronny Geva, Yael Niv, Gal Shoval ======================================================= Important: Registration CLOSES Jan 20, 2020 (midnight, Israel time) *** There will be no on-site registration *** To register, go to https://israelcomppsych.princeton.edu/registration/ -- only 5 more days for registration! The burdens of mental illness on both individuals and society are painful and immense. Yet psychiatry is in a crisis, as the development of new treatments has stalled. A large part of the problem is that the diagnosis of mental illnesses is based on self-reported symptoms rather than quantifiable laboratory tests. Mental health is the only domain of medicine that lacks such tests, largely because of the sore absence of a biological foundation. One area of neuroscience that has seen tremendous progress in the last two decades is computational cognitive neuroscience ? the computational and neural understanding of the processes that link reward, evaluation, affect, memory and decision making ? the exact processes that are impaired in psychopathology. This has led to the creation of a new field of research: ?computational psychiatry?. This meeting brings together leading researchers in this novel field, from Israel and abroad, as well as clinicians whose research is theory-driven and who are interested in collaborating with computational neuroscientists. The goal is to spur research in computational psychiatry in Israel (already home to some pioneers in the field) and to provide a setting that will be conducive to creating new international collaborations that have a potential to lead to breakthroughs in our understanding and treatment of mental disorders. Sponsored by Geha Mental Health Center, The Israel Academy of Sciences and Humanities ? The Batsheva de Rothschild Fund for the Advancement of Science in Israel, an unrestricted grant from Janssen Pharmaceuticals, and in collaboration with the Israeli Society for Biological Psychiatry (ISBP). -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.miasnikof at mail.utoronto.ca Wed Jan 15 10:29:30 2020 From: p.miasnikof at mail.utoronto.ca (P Miasnikof) Date: Wed, 15 Jan 2020 15:29:30 +0000 Subject: Connectionists: Optimization for Data science at the Canadian Operational Research Society Annual Conference Message-ID: <83268c70-d636-50f7-8b97-2fc2f4d7a09d@mail.utoronto.ca> To Whom it May Concern, We are organizing special session(s) on optimization for data science at the Canadian Operational Research Society 2020 Annual Conference. The conference will be held June 08 - June 10 2020, in Toronto. We are accepting abstracts until Feb 28. If you are interested in presenting on the topic of optimization for data science, please send an email directly to p.miasnikof at mail.utoronto.ca Best regards, Pierre From anna.gld at gmail.com Wed Jan 15 15:46:32 2020 From: anna.gld at gmail.com (Anna Rogers) Date: Wed, 15 Jan 2020 15:46:32 -0500 Subject: Connectionists: CALL FOR PAPERS: EMNLP 2020 (Dominican Republic, November 8-12, 2020) Message-ID: <4b211925-2ac2-8c08-2bd0-8a9e6ced61aa@gmail.com> [Apologies for cross-posting] ------------------------------------------------------ CALL FOR PAPERS: EMNLP 2020 November 8-12, 2020 Barcel? B?varo Convention Centre, Punta Cana, Dominican Republic https://2020.emnlp.org/ Long and short paper submission deadline: May 11, 2020 ------------------------------------------------------ The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020) invites the submission of long and short papers on substantial, original, and unpublished research in empirical methods for Natural Language Processing. As in recent years, some of the presentations at the conference will be for papers accepted by the Transactions of the ACL (TACL) and Computational Linguistics (CL) journals. IMPORTANT DATES - Anonymity period begins: April 11, 2020 - Submission deadline (long & short papers): May 11, 2020 - Author response period: July 8-14, 2020 - Notification of acceptance (long & short papers): August 8, 2020 - Camera-ready papers due (long & short papers): August 28, 2020 - Main conference: November 8-10, 2020 - Workshops and tutorials: November 11-12, 2020 * All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). SUBMISSIONS EMNLP 2020 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): - Computational Social Science and Social Media - Dialogue and Interactive Systems - Discourse and Pragmatics - Generation - Information Extraction - Information Retrieval and Text Mining - Interpretability and Analysis of Models for NLP - Language Grounding to Vision, Robotics and Beyond - Linguistic Theories, Cognitive Modeling and Psycholinguistics - Machine Learning for NLP - Machine Translation and Multilinguality - NLP Applications - Phonology, Morphology and Word Segmentation - Question Answering - Resources and Evaluation - Semantics: Lexical, Sentence level, Textual Inference and Other areas - Sentiment Analysis, Stylistic Analysis, and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing PAPER SUBMISSION INFORMATION Long Papers Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Review forms will be made available prior to the deadlines. Long papers may consist of up to 8 pages of content, plus unlimited pages for references; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers? comments can be taken into account. Long papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and as posters. Short Papers Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead short papers should have a point that can be made in a few pages. Some kinds of short papers are: - A small, focused contribution - A negative result - An opinion piece - An interesting application nugget Short papers may consist of up to 4 pages of content, plus unlimited references. Upon acceptance, short papers will be given 5 content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers? comments in their final versions. Short papers will be presented orally or as posters as determined by the program committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. Authorship The author list for submissions should include all (and only) individuals who made substantial contributions to the work presented. Each author listed on a submission to EMNLP 2020 will be notified of submissions, revisions and the final decision. No changes to the order or composition of authorship may be made to submissions to EMNLP 2020 after the paper submission deadline. Citation and Comparison You are expected to cite all refereed publications relevant to your submission, but you may be excused for not knowing about all unpublished work (especially work that has been recently posted and/or is not widely cited). In cases where a preprint has been superseded by a refereed publication, the refereed publication should be cited instead of the preprint version. Papers (whether refereed or not) appearing less than 3 months before the submission deadline are considered contemporaneous to your submission, and you are therefore not obliged to make detailed comparisons that require additional experimentation and/or in-depth analysis. For more information, see the ACL Policies for Submission, Review, and Citation [https://www.aclweb.org/portal/content/new-policies-submission-review-and-citation] Multiple Submission Policy EMNLP 2020 will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the EMNLP 2020 review period. This policy covers all refereed and archival conferences and workshops (e.g., COLING, NeurIPS, ACL workshops). For example, a paper under review at an ACL workshop cannot be dual-submitted to EMNLP 2020. In addition, we will not consider any paper that overlaps significantly in content or results with papers that will be (or have been) published elsewhere. Authors submitting more than one paper to EMNLP 2020 must ensure that their submissions do not overlap significantly (>25%) with each other in content or results. Paper Submission and Templates Submission is electronic, using the Softconf START conference management system. Paper template files will be provided soon on the conference website. Optional Supplementary Materials: Appendices, Software and Data Each EMNLP 2020 submission can be accompanied by one PDF appendix for the paper, one PDF for prior reviews and author response, one .tgz or .zip archive containing software, and one.tgz or .zip archive containing data. EMNLP 2020 encourages the submission of these supplementary materials to improve the reproducibility of results, and to enable authors to provide additional information that does not fit in the paper. For example, anonymised related work (see above), preprocessing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work described in the paper can be put into the appendix. However, the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review or download them. If the pseudo-code or derivations or model specifications are an important part of the contribution, or if they are important for the reviewers to assess the technical correctness of the work, they should be a part of the main paper, and not appear in the appendix. Supplementary materials need to be fully anonymized to preserve the double-blind reviewing policy. ANOMINITY PERIOD The following rules and guidelines are meant to protect the integrity of double-blind review and ensure that submissions are reviewed fairly. The rules make reference to the anonymity period, which runs from 1 month before the submission deadline (starting April 8th 2020) up to the date when your paper is accepted or rejected (Aug 8th 2020). Papers that are withdrawn during this period will no longer be subject to these rules. - You may not make a non-anonymized version of your paper available online to the general community (for example, via a preprint server) during the anonymity period. Versions of the paper include papers having essentially the same scientific content but possibly differing in minor details (including title and structure) and/or in length. - If you have posted a non-anonymized version of your paper online before the start of the anonymity period, you may submit an anonymized version to the conference. The submitted version must not refer to the non-anonymized version, and you must inform the programme chairs that a non-anonymized version exists. - You may not update the non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period. - You may make an anonymized version of your paper available (for example, on OpenReview), even during the anonymity period. - Note that, while you are not prohibited from making a non-anonymous version available online before the start of the anonymity period, this does make double-blind reviewing more difficult to maintain, and we therefore encourage you to wait until the end of the anonymity period. Alternatively, you may consider submitting your work to the Computational Linguistics journal, which does not require anonymization and has a track for ?short? (i.e., conference-length) papers. INSTRUCTIONS FOR DOUBLE-BLIND REVIEW As reviewing will be double blind, papers must not include authors? names and affiliations. Furthermore, self-references or links (such as github) that reveal the author?s identity, e.g., ?We previously showed (Smith, 1991) ?? must be avoided. Instead, use citations such as ?Smith previously showed (Smith, 1991) ?? Papers that do not conform to these requirements will be rejected without review. Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use third person or named reference to this work, as described above (?Smith showed? rather than ?we showed?). If important citations are not available to reviewers (e.g., awaiting publication), these paper/s should be anonymised and included in the appendix. They can then be referenced from the submission without compromising anonymity. Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should also be anonymized. NEW: STICKY REVIEWS (optional) Authors resubmitting a paper that has been rejected from another venue are invited to submit alongside their paper the previous version of the paper, the reviews and an author response. This is strictly optional. It is designed to mimic the revise-and-resubmit procedure underlying journals like TACL, and this trial for EMNLP will help to inform potential changes to the review process under consideration for future EMNLP and ACL conferences. We expect that the fact that a paper was rejected from another venue will not necessarily affect the paper?s decision in a negative way, but is likely to be beneficial to authors who believe they have addressed the problems identified, and can argue strongly for how the paper has been improved. The prior reviews will not be seen by reviewers, but be used as part of the EMNLP decision process, primarily by area chairs and program chairs in review quality control, resolving disagreements between reviewers, and in deciding borderline papers. NEW: REPRODUCIBILITY CRITERIA To foster reproducibility, authors will be asked to answer all questions from the following Reproducibility Checklist during the submission process. Authors are not required to meet all criteria on the checklist, but rather check off the criteria relevant to their submission. The answers will be made available to the reviewers to help them evaluate the submission. Reviewers will be expressly asked to assess the reproducibility of the work as part of their reviews. The following list is a preliminary checklist we will use. For all reported experimental results: [ ] A clear description of the mathematical setting, algorithm, and/or model. [ ] A link to a downloadable source code, with specification of all dependencies, including external libraries [ ] Description of computing infrastructure used [ ] Average runtime for each approach [ ] Number of parameters in each model [ ] Corresponding validation performance for each reported test result [ ] Explanation of evaluation metrics used, with links to code For all experiments with hyperparameter search: [ ] Bounds for each hyperparameter [ ] Hyperparameter configurations for best-performing models [ ] Number of hyperparameter search trials [ ] The method of choosing hyperparameter values (e.g., uniform sampling, manual tuning, etc.) and the criterion used to select among them (e.g., accuracy) [ ] Expected validation performance, as introduced in Section 3.1 in Paper (https://arxiv.org/pdf/1909.03004.pdf), or another measure of the mean and variance as a function of the number of hyperparameter trials. For all datasets used: [ ] Relevant statistics such as number of examples [ ] Details of train/validation/test splits [ ] Explanation of any data that were excluded, and all pre-processing steps [ ] A link to a downloadable version of the data [ ] For new data collected, a complete description of the data collection process, such as instructions to annotators and methods for quality control. Thanks to Jesse Dodge for helping with the above checklist. It is based on https://arxiv.org/pdf/1909.03004.pdf and https://www.cs.mcgill.ca/~jpineau/ReproducibilityChecklist.pdf PRESENTATION REQUIREMENT All accepted papers must be presented at the conference to appear in the proceedings. Authors of papers accepted for presentation at EMNLP 2020 must notify the program chairs by the camera-ready deadline if they wish to withdraw the paper. Previous presentations of the work (e.g. preprints on arXiv.org) should be indicated in a footnote in the final version of papers appearing in the EMNLP 2020 proceedings. Please note that this footnote should not be in the submission version of the paper. At least one author of each accepted paper must register for EMNLP 2020 by the early registration deadline. ORGANIZERS General Chair: Bonnie Webber (University of Edinburgh, UK) Program Co-Chairs: * Trevor Cohn (University of Melbourne, Australia) * Yulan He (University of Warwick, UK) * Yang Liu (Amazon, Alexa AI, USA) CONTACT INFORMATION e-mail: EMNLP2020ProgrammeChairs at gmail.com FURTHER INFORMATION The conference webpage (https://2020.emnlp.org/) will be continually updated with information on workshops, tutorials, etc. From zapotocky at biomed.cas.cz Wed Jan 15 16:25:41 2020 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Wed, 15 Jan 2020 22:25:41 +0100 Subject: Connectionists: CNS*2020: Abstract Submission and Registration Open Message-ID: Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA *Call for Abstracts** **29th Annual Computational Neuroscience Meeting (CNS*2020)** **Melbourne, Australia** **July 18--22, 2020* *Local Organizers:* Anthony N. Burkitt (Chair), Mark Cook, Alex Fornito, David Grayden (Treasurer), Luan Ismahil, Tatiana Kameneva, Levin Kuhlmann, Hamish Meffin The main meeting begins the evening of Saturday July 18 and runs through Tuesday July 21. It will be preceded by a day of tutorials (Saturday July 18) and followed by workshops (Tuesday July 21 mixed with the main meeting and Wednesday July 22 workshops only). *Keynote Speakers:* *Matt Botvinick*, /DeepMind Technologies/ *Zhaoping Li*, /Max Planck Institute for Biological Cybernetics/ *Geoff Goodhill*, /The University of Queensland/ *Daniel Polani*, /University of Hertfordshire/ Registration and abstract submission are open. *Abstract submission deadline: March 4, 2020. * Note that one of the authors must register as sponsoring author for the main meeting *before abstract submission*. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply using the drop-down box on the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/index.php?option=com_mc&view=mc&mcid=form_265080 Abstract Submission for Main Meeting: https://www.cnsorg.org/cns-2020-abstract-submission Workshop proposals are being accepted at: https://www.cnsorg.org/cns-2020-call-for-workshops Tutorial proposals are being accepted at: https://www.cnsorg.org/cns-2020-call-for-tutorials For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2020-quick -------------------------------------------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org -------------------------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Wed Jan 15 21:41:44 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Thu, 16 Jan 2020 10:41:44 +0800 Subject: Connectionists: CIKM2020 - Call for Consortium Doctoral Participation and Posters/Demo Papers Message-ID: * Apologies for cross-posting * *** Call for CONSORTIUM DOCTORAL PARTICIPATION and POSTERS/DEMO PAPERS *** In conjunction with *CIKM** 2020 (Galway, Ireland - October 19th-23rd, 2020)* https://cikm2020.org/ ? *CALL FOR C**ONSORTIUM DOCTORAL PARTICIPATION* More info: https://cikm2020.org/call-for-doctoral-consortium-participation/ We invite PhD students from the general areas of databases (DB), information retrieval (IR), and knowledge management (KM) to submit their proposals for participation in a Doctoral Consortium, which will be held on Tuesday, 20th October 2020. The goal of the PhD Symposium is to provide a platform for PhD students to present and receive feedback on their ongoing research. Students at different stages of their research will have the opportunity to present and discuss their research questions, goals, methods and results. *Important Dates:* Submission deadline: 15th July 2020 Acceptance notification: 15th August 2020 ? *CALL FOR POSTER AND DEMO PAPERS* More info: https://cikm2020.org/call-for-poster-and-demo-papers/ The posters and demos track at CIKM aims to provide the opportunity for researchers and practitioners from academia, industry, and government to showcase their prototypes and research ideas to the community. We seek demonstrations and posters that showcase exciting new technologies and early prototypes within the scope of CIKM, as well as case studies from more mature systems with innovative features and functionalities. *Important Dates:* Demo and Poster Paper Submission Deadline: June 10, 2020 Demo and Poster Paper Acceptance Notification: July 24, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Thu Jan 16 00:01:39 2020 From: suashdeb at gmail.com (Suash Deb) Date: Thu, 16 Jan 2020 10:31:39 +0530 Subject: Connectionists: Announcement of lSMSl21 (Seychelles) Message-ID: Dear esteemed colleagues, Warm greetings. At the outset, thanks to all of you for your help for the forthcoming ISMSI20, to be held in Thimphu, Bhutan. Hope to meet many of you there http://www.ismsi.org Looking ahead, am pleased to announce that *2021 ISMSI* would be held in *Victoria, Seychelles*. Euro (The Association of European Operational Research Societies) & EU/ME (working group of Metaheuristics of the same) had extended tech. sponsorship for the same. The preliminary leaflet of the same is forwarded below. Pls. help by disseminating the same among your peers. Apart from *ACM published proceedings*, scope also exists for a selected/shortlisted et of authors to publish the extended version of their manuscripts at the *EJOR journal* (as indicated at the leaflet). Best rgds, Suash Prof. Suash Deb General Chair, ISMSI21 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ISMSI2021-Leaflet (1).pdf Type: application/pdf Size: 2741937 bytes Desc: not available URL: From rosemary.nan.ke at gmail.com Wed Jan 15 18:53:21 2020 From: rosemary.nan.ke at gmail.com (Rosemary Ke) Date: Wed, 15 Jan 2020 18:53:21 -0500 Subject: Connectionists: Call for papers: ICLR2020 Causal learning for decision making workshop Message-ID: Hi, *I?d like to share the call for papers for our ICLR 2020 Workshop on Causal learning for decision making (CLDM at ICLR). It?s a workshop on *learning abstract representations of causal models for decision making*. Openreview link: *https://openreview.net/group?id=ICLR.cc/2020/Workshop/CLDM * Workshop website: * https://sites.google.com/view/causal-learning-icrl2020/home *TLDR:* We are interested in submissions that deal with learning causal models with reinforcement learning (sequential decision making) and using causal models for better decision making (planning), as well as real-world applications. We are also interested in learning abstract representations of causal models for decision making. We welcome submissions related to the following topics: - Causal induction using reinforcement learning - Planning with causal models - Learning abstract representations for causal learning - Applications for using causal models in decision-making in real-world settings, for example in relation to fairness, transparency, and safety We will accept both short paper (4 pages) and long paper (8 pages) submissions (not including references). Submissions should be in the ICLR2020 format. A few papers may be selected as oral presentations, and the other accepted papers will be presented in a poster session. There will be no proceedings for this workshop, however, upon the author?s request, accepted contributions will be made available in the workshop website. Submission are double-blind, peer-reviewed on OpenReview ( https://openreview.net/group?id=ICLR.cc/2020/Workshop/CLDM), and open to already published work. *Paper Submission Deadline: Feburary 10th* *Website*: https://sites.google.com/view/causal-learning-icrl2020/home Best, ICLR 2020 CLDM workshop organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From laure.berti at ird.fr Thu Jan 16 05:36:18 2020 From: laure.berti at ird.fr (Laure Berti) Date: Thu, 16 Jan 2020 11:36:18 +0100 Subject: Connectionists: Postdoc Position (3 years): Deep learning for poverty prediction from satellite images Message-ID: Postdoc Position (3 years): Deep learning for poverty prediction from satellite images Your Role CESAB Montpellier, France is looking for a postdoc as part of the PARSEC project funded by the Foundation for Research on Biodiversity (FRB) and the Belmont Forum. The candidate will implement and compare various deep learning architectures for characterizing poverty in the context of land desertification and predict consumption expenditure, using satellite images in various resolutions (e.g. Sentinel 2 sensor with 10 to 60 m resolution and 13 spectral bands, optical SPOT 6/7, and Pleiades images with spatial resolution of 1.5 m and 0.5 m respectively) and other data sources (e.g., the World Bank?s Living Standards Measurement Study surveys, LSMS ? http://surveys.worldbank.org/lsms), the Demographic and Health Surveys (DHS ? https://dhsprogram.com), and the Oxford Poverty and Human Development Initiative (OPHI ? https://ophi.org.uk)). Qualifications ? PhD in Computer Science in the field of deep learning and machine learning ? Knowledge of satellite image analysis is a plus ? Proficiency in Python programming ? Fluent English ? Good communication skills ? Ambition to pursue high-profile and interdisciplinary research Host structure About FRB The Foundation for research on biodiversity (FRB) was created in 2008. It gathers public research institutions, environmental NGOs, land and genetic resources managers and the private sector. It provides a forum where science meets society in order to address the current challenges related to biodiversity research. About CESAB The Centre for Synthesis and Analysis of Biodiversity (CESAB) is FRB?s main programme and a leading research organization in Europe, with an international reputation. Launched in 2008 after the ?Grenelle de l?Environnement? by the Ministries for research and for ecology, it was created by eight public research institutions (BRGM, CIRAD, CNRS, IFREMER, INRA, IRD, IRSTEA and MNHN), joined in 2014 by LVMH and in 2017 by the University of Montpellier. Its aim is to implement the innovative work of synthesis and analysis of existing data in the field of biodiversity. Advancing knowledge, developing culture and collaboration, facilitating links between scientific disciplines and with the stakeholders, are the main objectives of CESAB, which welcomes every year a large number of researchers from all continents. Application instructions Please send your application to laure(.)berti[@]ird(.)fr including: ? a detailed CV (research activities, publications, programming skills) ? a motivation letter ? the contact information of 2 referees. Location: FRB ? CESAB, 5, rue de l??cole de M?decine, 34000 MONTPELLIER, France Salary: 2500? gross/month Contract: 3 years maximum, full time Closing date for applications:? Feb 15th, 2020 Starting date: May 2020, negotiable https://parsecproject.org/parsec-postdoc-position-is-opening-on-deep-learning-for-poverty-prediction-from-satellite-images-closing-date-for-applications-15th-february-2020/ From odmartin at gmx.de Thu Jan 16 08:34:41 2020 From: odmartin at gmx.de (martin biehl) Date: Thu, 16 Jan 2020 22:34:41 +0900 Subject: Connectionists: Workshop on Combining Information-theoretic Perspectives on Agency (CIPA) in Tokyo (January 28-29, 2020) Message-ID: Dear all, We are organising a workshop on Combining Information-theoretic Perspectives on Agency (CIPA). The workshop is scheduled for January 28-29, 2020 at Komaba campus, the University of Tokyo, Japan. Registration is free. Find the website here: http://cipa-workshop.weebly.com/ The CIPA workshop has a two-day program, curated by the research group at Araya Inc. (www.araya.org), funded by the Japan Science and Technology Agency (JST). The goal of this workshop is to bring together information theorists and neuroscientists to discuss the relations between information-theoretic concepts and the foundations of agency. Topics in the foundations of agency include: Individuality and boundaries Goal-directedness Action and perception Information-theoretic concepts include: Emergence Intrinsic motivations Thermodynamics Bayesian / Free Energy agents Transfer entropy Non-trivial information closure Integrated Information Theory (IIT) Speakers: Larissa Albantakis - University of Wisconsin-Madison, US Shunichi Amari - RIKEN Center for Brain Science Martin Biehl - Araya Inc., Japan Takuya Isomura - RIKEN Center for Brain Science, Japan Sosuke Ito - The University of Tokyo, Japan Pedro Mediano - Imperial College London, UK Fernando Rosas - Imperial College London, UK Christoph Salge - University of Hertfordshire, UK Hideaki Shimazaki - Kyoto University / Honda Research Institute Japan Susanne Still - University of Hawaii, US Masatoshi Yoshida - National Institute for Physiological Sciences / Hokkaido University, Japan --- Workshop Organisers: Ryota Kanai (Araya Inc.) Masafumi Oizumi (The University of Tokyo) Acer Chang (Araya Inc.) Martin Biehl (Araya Inc.) Yen Yu (Araya Inc.) Hiroaki Hamada (Araya Inc.) Masaru Kuwabara (Araya Inc.) Ippei Fujisawa (Araya Inc.) From kamdarmax at gmail.com Thu Jan 16 19:54:33 2020 From: kamdarmax at gmail.com (Maulik Kamdar) Date: Thu, 16 Jan 2020 19:54:33 -0500 Subject: Connectionists: [US2TS 2020] Early Registration at the U.S. Semantic Technologies Symposium 2020 Message-ID: 3rd U.S. Semantic Technologies Symposium 2020 9 ? 11 March 2020, North Carolina State University in Raleigh, North Carolina. US2TS 2nd Call for Registration ===================================== ** Registration ===================================== Early Registration deadline: Jan 31, 2020. Registration link: http://us2ts.org/registration We are pleased to announce the diverse contributed sessions that will be held during the 3rd U.S. Semantic Technologies Symposium 2020 event. The full list of these, with organizers and tentative details, are available at https://us2ts.org/program . We are also pleased that Dr. Louiqa Raschid will present one of the keynotes at US2TS 2020. Dr. Raschid is a professor at the University of Maryland where she holds appointments in the Smith School of Business, the Institute of Advanced Computer Studies (UMIACS) and the Department of Computer Science. Dr. Raschid has made pioneering contributions towards tackling data integration, data management and data mining challenges in multiple non-traditional domains, spanning the fields of computer science, business information systems, the life sciences and health sciences, humanitarian disaster relief, human behavior modeling within social streams, and the modeling and management of financial ecosystems. Dr. Raschid has also been actively involved in the Open Knowledge Network initiative. ===================================== ** Intended Participation and Calls for Contribution ===================================== If you are going to attend the symposium, we would also appreciate it if you could fill out the below form to help us gather additional information to structure a productive yet distinct program for this symposium. ** Form for Intended Participation: https://forms.gle/7VdmyBH6XWFrffQM6 We also invite submissions for Late-Breaking Lightning Talks to be held during US2TS 2020. ** More Details: https://us2ts.org/cfc#lightning-talks ** Submission Website: https://easychair.org/conferences/?conf=us2ts2020 (choose ?Lightning Talk? as topic) ===================================== ** About US2TS ===================================== The US2TS Symposium series is an emerging premier forum for fostering community between academic, industry, and government researchers and practitioners in the US that develop or apply semantic technologies. The interest in semantics has been strengthened by the growing dependence on the Web and the continuously increasing importance of large-scale data sharing, integration, and reuse. Participants at the US2TS come from disciplines in computer science and engineering, natural sciences, geoscience, biology, library science, biomedical and health care sciences, social sciences and the humanities, and many others. Discussions at the symposium cover core topics such as the Semantic Web, Ontologies, Knowledge Graph, Linked Data and AI on the Web, Privacy and Trust, etc., as well as the intersection of such topics with areas such as the Internet of Things (IoT) and Blockchains. ===================================== ** Contact ===================================== All inquiries, including questions about submissions should be emailed to contact us at 2020-org AT us2ts DOT org You are also welcome to join our social network on LinkedIn at https://www.linkedin.com/groups/13783135/ We look forward to your great contributions and participation. See you all on March 9 - 11, 2020, in Raleigh, NC! -------------- next part -------------- An HTML attachment was scrubbed... URL: From elias.tragos at insight-centre.org Thu Jan 16 12:11:24 2020 From: elias.tragos at insight-centre.org (Elias Tragos) Date: Thu, 16 Jan 2020 17:11:24 +0000 Subject: Connectionists: Research fellow, and postdoc positions in Recommender Systems Message-ID: We are looking to recruit a Research Fellow, and a postdoc to work in the area of Recommender systems on an industry research project, funded by a global technology company. The project will develop next generation recommender systems technologies, drawing on the experience and expertise of a leading recommender systems research group in UCD, Dublin, Ireland as part of the Insight Centre for Data Analytics. Research fellows and postdocs are 2-year positions. The successful candidates will have the opportunity to work with a team of world-class experts in Recommender Systems in an ambitious industry-driven research project. The candidates will contribute to the success of the project and to the improvement of the team?s skills and expertise. Applications for Research Fellow and postdocs have to be submitted through https://www.ucd.ie/workatucd/jobs/. More information on the following links: Research Fellow (deadline 24 January 2020) : https://www.insight-centre.org/Job/research-fellow-recommender-systems Postdoc (deadline 24 January 2020) : https://www.insight-centre.org/Job/post-doctoral-research-fellow-recommender-systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From marianne.clausel at univ-lorraine.fr Thu Jan 16 23:24:55 2020 From: marianne.clausel at univ-lorraine.fr (Marianne Clausel) Date: Fri, 17 Jan 2020 05:24:55 +0100 Subject: Connectionists: Post doc offer at University of Lorraine Nancy, France Message-ID: <302fd01f-99d3-8624-5f47-d2b9ffe34c05@univ-lorraine.fr> *Post-doc position : Information retrieval for Medical Scientific publications * *Advisors:* - M. Constant (U. of Lorraine). Website : https://perso.atilf.fr/mconstant/ - M. Clausel (U. Lorraine). Website : https://sites.google.com/site/marianneclausel/ - R.S. Stoica (U. Lorraine). Website : https://sites.google.com/site/radustefanstoica/ *Other partners of the project *: C. Francois (INIST), P. Oudet (Canc?op?le Est), F. Schaffner (Canc?rop?le Est), N. Thouvenin (INIST). *Location: *University of Lorraine, Nancy (France) *Keywords: *Natural language processing, word embeddings, biomedical text mining, graph matching *Context:* The Canc?rop?le Est is one of the 7 Canc?rop?les created by the first national cancer action in 2003. Its missions are organizing, coordinating, and strengthening research against cancer in partnership with academic and clinical institutions by associating researchers, healthcare professionals, industrials and patients. The aim of the project is to establish a cartography of the scientific research in Oncology in the two French Regions Grand Est and Bourgogne Franche Comt? using the full text of scientific publications of each research team in the two regions. *Description of the position:* This position is funded by AMIES, University of Lorraine and Cancerop?le Est. With this position, we would like to go use text mining technics to extract characteristics related to the scientific content of the publications of each research team in Grand Est and Bourgogne Franche Comt\'e. The recruited person will work on the following points: - Preprocessing of the data. The data will be provided by the Canc\'eropole Est and will consist of several full texts in xml or pdf format. - Learning of oncology embedding (see for e.g. [1]). INIST will provide training data to learn the embedding and ontology - Extraction of characteristics related to the scientific content of publications for each research team. - Combine these characteristics and collaboration graph of each team (see for e.g. [2]) to provide general characteristics for each team - Integration in a vizualisation tool The recruited person will benefit from the expertise of Cancerop?le Est, INIST and University of Lorraine in text mining and statistical learning. We would ideally like to recruit a 11 month post-doc with the following preferred skills: - Knowledgeable in natural language processing, text mining and word embeddings - Knowledgeable in machine learning - Good programming skills in Python (classical NLP librairies, scikit-learn, Pytorch and/or Tensor Flow) - Very good English (understanding and writing) The candidates should send a CV, 2 names of referees and a cover letter to the researchers mentioned above (Mathieu.Constant at univ-lorraine.fr, marianne.clausel at univ-lorraine.fr, radu-stefan.stoica at univ-lorraine.fr). The selected candidates will be interviewed in February for an expected start in March/April 2019. *Bibliography* [1] J. Lee et al. BioBERT: a Pre Trained Biomedical Language Representation Model for Biomedical Text Mining. Ed. Jonathan Wren. Bioinformatics (2019). [2] Q. Laporte-Chabasse et al. Morpho-statistical description of networks through graph modelling and Bayesian inference. Preprint 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From erdi.peter at wigner.mta.hu Thu Jan 16 13:13:11 2020 From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=) Date: Thu, 16 Jan 2020 19:13:11 +0100 (CET) Subject: Connectionists: study abroad programs in Budapest Message-ID: Dear All: BSCS-US announces its two programs in Budapest for 2020. 1. Our regular program: BSCS - BUDAPEST SEMESTER IN COGNITIVE SCIENCE: FROM PHILOSOPHY TO NEUROSCIENCE will be held in the Fall of 2020, see http://www.bscs-us.org/. Program start/end dates August 31 - December 4, 2020. Inquiry: bscs at bscs-us.org 2. We have also a summer program Systems Neuroscience: a study abroad summer program http://www.sysneuro-semester.org/ Program start/end dates June 15 - Aug 7, 2020 The BSCS Systems Neuroscience Program takes place at and academically supervised by the Department of Anatomy, Histology and Embryology, Semmelweis University Medical School, Budapest Inquiry: P?ter ?rdi (SysNeuro Director; BSCS Co-Director) perdi at kzoo.edu bscs at bscs-us.org From veronica.bolon at udc.es Fri Jan 17 04:41:17 2020 From: veronica.bolon at udc.es (=?utf-8?B?VmVyw7NuaWNhIEJvbMOzbiBDYW5lZG8=?=) Date: Fri, 17 Jan 2020 09:41:17 +0000 Subject: Connectionists: CFP ECAI Workshop TrustFinTechAI 2020 Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: Workshop on "Trustworthy AI: challenges in Financial Technology (TrustFinTechAI)" at ECAI 2020 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 application 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 Tentatively, TrustFinTechAI'20 proceedings will be published in a Special Number of a JCR Journal. Confirmation will be published soon. Tentatively, an economic prize will be awarded to the best paper of the workshop. Confirmation will be published soon. 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 timofte.radu at gmail.com Fri Jan 17 06:35:41 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Fri, 17 Jan 2020 12:35:41 +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 (TBA) 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 timofte.radu at gmail.com Fri Jan 17 06:35:46 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Fri, 17 Jan 2020 12:35:46 +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: Workshop and Challenge on Learned Image Compression 2020 in conjunction with CVPR 2020, June 15, 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 Website: http://www.compression.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sat Jan 18 01:27:46 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sat, 18 Jan 2020 06:27:46 +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 ajyu at ucsd.edu Fri Jan 17 13:47:22 2020 From: ajyu at ucsd.edu (Angela Yu) Date: Fri, 17 Jan 2020 10:47:22 -0800 Subject: Connectionists: Postdoc position Message-ID: Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Prof. Angela Yu, at University of California, San Diego. Initial appointment is for one year, renewable for up to 2-3 years. Dr. Yu?s lab applies modern machine learning and statistical tools to extract computational principles that underlie cognitive processes that enable intelligent behavior, in particular how humans and other intelligent agents perform inference, learning, decision-making, and social interactions under conditions of uncertainty and non-stationarity. Current interests include perception, face processing, active sensing, judgement and decision making, and social cognition. Applicants should be committed to applying rigorous mathematical tools to model cognitive functions and/or their neural underpinnings. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other neuroimaging/neurophysiology laboratories is desirable. Dr. Yu's lab is situated within the Cognitive Science department, and also affiliated with the Hal?c?o?lu Data Science Institute, the Computer Science Department, the Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute. Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (ajyu at ucsd.edu) with the subject ?Postdoc Application?. Two or more letters of references should be sent directly by the recommenders to ajyu at ucsd.edu . More information about Dr. Yu?s group can be found at https://www.cogsci.ucsd.edu/~ajyu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From bard at pitt.edu Fri Jan 17 13:23:22 2020 From: bard at pitt.edu (G. Bard Ermentrout) Date: Fri, 17 Jan 2020 18:23:22 +0000 Subject: Connectionists: Postdoc position University of Pittsburgh Message-ID: Postdoctoral Fellowship available immediately The Department of Mathematics at the University of Pittsburgh (Oakland campus) invites applications for a Postdoctoral Fellowship working with Professor Bard Ermentrout for up to three years, subject to evaluation at the end of each year. Screening will be done on a rolling basis, starting immediately. The research area is flexible, but the main areas are the modeling and analysis of spatiotemporal behavior in biology with a focus on (but not restricted to) neuroscience. Topics of particular interest are the behavior of spatially distributed oscillators, pattern formation, and dynamics of wave propagation in nonlocally coupled systems. Candidates should have a strong background in dynamical systems, some knowledge of stochastic processes, and some expertise in computation such as Python, MatLab, or XPP. Candidates may be expected participate in discussions with some experimental neuroscientists as necessary for the research. Responsibilities include teaching two courses per year, participating in research seminars and the possible mentoring of undergraduate students. This position is funded for three years, and a highly competitive salary is available for qualified candidates. Pittsburgh is a medium-sized city with a relatively low cost of living and many of the amenities and cultural opportunities of a larger city. The Neuroscience community in Pittsburgh is large and very diverse with more than 100 faculty members affiliated with the Center for Neuroscience at the University of Pittsburgh. Successful candidates would also have the opportunity to join the Center for the Neural Basis of Cognition which is a joint University of Pittsburgh/CMU center that involves nearly 100 Faculty from the two Universities. Required Qualifications Completion of a Ph.D. degree in mathematics or a closely related field is required prior to the start of appointment. Applicants should have experience teaching in mathematics. Application Instructions A complete application consists of: (1) curriculum vitae, (2) statement of research interests, (3) statement of teaching interests with a list of relevant courses taught, (4) Names of references, and (5) a letter applying for the position. Applications are through the following link: https://www.mathjobs.org/jobs/fellowship/15554 Any additional relevant supporting material submitted will be considered by Professor Ermentrout. The Dietrich School of Arts and Sciences is committed to building and fostering a culturally diverse environment. Excellent interpersonal and relationship-building skills and ability to work effectively with a wide range of individuals and constituencies in support of a diverse community are required. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jg2141 at columbia.edu Sat Jan 18 10:20:40 2020 From: jg2141 at columbia.edu (JP G) Date: Sat, 18 Jan 2020 10:20:40 -0500 Subject: Connectionists: Curiosity, Creativity, and Complexity, Columbia University, May 18-19 2020 Message-ID: Dear moderator, please post the announcement below: On May 18-19 2020, Columbia University in New York will host a conference on *Curiosity, Creativity, and Complexity*, catalyzing interdisciplinary discussion on these topics across neuroscience, psychology, artificial intelligence, and economics. Registration opens mid-February. Faculty, students, and postdocs are welcome to attend. Full details and updates: https://zuckermaninstitute.columbia.edu/curiosity-creativity-and-complexity-conference Jacqueline Gottlieb Professor Department of Neuroscience The Kavli Institute for Brain Science Mortimer B. Zuckerman Mind Brain Behavior Institute Director Research Cluster on Curiosity, Center for Science and Society Columbia University www.gottlieblab.com https://scienceandsociety.columbia.edu/content/research-cluster-curiosity -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Sat Jan 18 15:29:41 2020 From: mpavone at dmi.unict.it (Mario Pavone) Date: Sat, 18 Jan 2020 21:29:41 +0100 Subject: Connectionists: MESS 2020 ~ Learning & Optimization from Big Data ~ Catania, 27-31 July 2020 Message-ID: <20200118212941.Horde.K5kpXeph4B9eI2q1lWogJ4A@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/ ----------------------------------------------------------------------- ** 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 + 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 ariel.9arcia at gmail.com Sun Jan 19 12:31:01 2020 From: ariel.9arcia at gmail.com (Ariel Ruiz-Garcia) Date: Sun, 19 Jan 2020 12:31:01 -0500 Subject: Connectionists: [CFP extended deadline] IJCNN-WCCI2020: Special Session on GANs Message-ID: *TL;DR ? CFP*: IJCNN special session on GANs *GUEST EDITORS*: Ariel Ruiz-Garcia, Vasile Palade, J?rgen Schmidhuber, Clive Cheong Took, Danilo Mandic *SUBMISSION DEADLINE(extended)*: 30th January 2020 ---------------------------------- *CALL FOR PAPERS* Special Session on *Deep and Generative Adversarial Learning* IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) International Joint Conference on Neural Networks July 19-24, 2020 Glasgow, Scotland, UK *Abstract:* Generative Adversarial Networks (GANs) have proven to be efficient systems for data generation. Their success is achieved by exploiting a minimax learning concept, which has proved to be an effective paradigm in earlier works, such as adversarial curiosity (1990) and predictability minimization (1991), in which two networks compete with each other during the learning process. One of the main advantages of GANs over other deep learning methods is their ability to generate new data from noise, as well as their ability to virtually imitate any data distribution. However, generating realistic data using GANs remains a challenge, particularly when specific features are required; for example, constraining the latent aggregate distribution space does not guarantee that the generator will produce an image with a specific attribute. On the other hand, new advancements in deep representation learning (RL) can help improve the learning process in Generative Adversarial Learning (GAL). For instance, RL can help address issues such as dataset bias and network co-adaptation, and identify a set of features that are best suited for a given task. Despite their obvious advantages and their application to a wide range of domains, GANs have yet to overcome several challenges. They often fail to converge and are very sensitive to parameter and hyper-parameter initialization. Simultaneous learning of a generator and a discriminator network often results in overfitting. Moreover, the generator model is prone to mode collapse, which results in failure to generate data with several variations. Accordingly, new theoretical methods in deep RL and GAL are required to improve the learning process and generalization performance of GANs, as well as to yield new insights into how GANs learn data distributions. This special session on Deep Representation and Generative Adversarial Learning aims to bring together researchers and practitioners to discuss and present their findings on RL and GANs. The special session will invite novel contributions on new theoretical methods and applications of RL and GANs. *Topics of interest for this special session include but are not limited to:* ? Representation learning methods and theory; ? Adversarial representation learning for domain adaptation; ? Network interpretability in adversarial learning; ? Adversarial feature learning; ? RL and GAL for data augmentation and class imbalance; ? New GAN models and new GAN learning criteria; ? RL and GAL in classification; ? Adversarial reinforcement learning; ? GANs for noise reduction; ? Recurrent GAN models; ? GANs for imitation learning; ? GANs for image segmentation and image completion; ? GANs for image super-resolution; ? GANs for speech and audio processing ? GANs for object detection; ? GANs for Internet of Things; ? RL and GANs for image and video synthesis; ? RL and GANs for speech and audio synthesis; ? RL and GANs for text to audio or text to image synthesis; ? RL and GANs for inpainting and sketch to image; ? RL and GAL in neural machine translation; ? RL and GANs in other application domains *Important Dates:* 15 January 2020 ? Submission deadline 15 March 2020 ? Paper acceptance notification 15 April 2020 ? Final paper submission and early registration deadline 19-24 July 2020 ? Paper presentations at IEEE WCCI 2020 *Organizers*: Dr Ariel Ruiz-Garcia Arm Ltd, UK Email: ariel.9arcia at gmail.com Professor Vasile Palade Coventry University, UK Email: vasile.palade at coventry.ac.uk Professor J?rgen Schmidhuber NNAISENSE, Swiss AI Lab IDSIA, USI & SUPSI, Switzerland Email: juergen at idsia.ch Dr Clive Cheong Took Royal Holloway (University of London), UK Email: Clive.CheongTook at rhul.ac.uk Professor Danilo Mandic Imperial College London, UK Email: d.mandic at imperial.ac.uk *Submission Procedure*: Prospective authors should follow the author instructions for IEEE IJCNN found at https://wcci2020.org/submissions/ and submit manuscripts online at https://ieee-cis.org/conferences/ijcnn2020/upload.php Authors should select 'S35. Deep and Generative Adversarial Learning? when they reach the ?Main research topic? step and leave ?Additional research topics? empty during the submission process. For any questions related to the special issue please email Dr Ariel Ruiz-Garcia (ariel.9arcia at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From josh at ucsc.edu Sun Jan 19 18:26:26 2020 From: josh at ucsc.edu (Joshua Deutsch) Date: Sun, 19 Jan 2020 15:26:26 -0800 Subject: Connectionists: RFP of interest Message-ID: The Foundational Questions Institute fqxi.org has recently announced an RFP on "Consciousness in the Physical World". It is relevant to many fields including both theoretical and experimental neuroscience. They are seeking high impact, high risk, research on consciousness. This is a good source for research that would be considered too risky to be fundable by NSF or NIH, but at the same time sheds light on "Big Picture" questions. The initial proposals are due February 12, 2020, but are short, and serve as an initial screening. Full proposals are due May 28, 2020. -- Josh Deutsch Physics Department UCSC josh at ucsc.edu Santa Cruz, 95064 http://deutsch.physics.ucsc.edu/ From erik at oist.jp Mon Jan 20 02:25:11 2020 From: erik at oist.jp (Erik De Schutter) Date: Mon, 20 Jan 2020 07:25:11 +0000 Subject: Connectionists: Okinawa/OIST Computational Neuroscience Course 2020: application deadline approaching Message-ID: <2255001B-1DC6-49CC-AB37-80CADD33E484@oist.jp> OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2020 Methods, Neurons, Networks and Behaviors June 29 to July 16, 2020 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 29th through July 16th, 2020 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - February 2, 2020. Applicants will receive confirmation of acceptance in March. Like in preceding years, the 17th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and provides partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: ? Michael Berry II (Princeton University, USA) ? Tiago Branco (Sainsbury Wellcome Centre, London, UK) ? Zenas C Chao (University of Kyoto, Japan) ? Erik De Schutter (OIST) ? Kenji Doya (OIST) ? Gaute Einevoll (Norwegian University of Life Sciences, Norway) ? Tomoki Fukai (OIST) ? Boris Gutkin (Ecole Normale Sup?rieure, Paris, France) ? Bernd Kuhn (OIST) ? Devika Narain (Erasmus Medical Center, Rotterdam, Netherlands) ? Alex Pouget (University of Geneva, Switzerland) ? Ivan Soltesz (Stanford University, USA) ? Saori C. Tanaka (ATR, Japan) ? Tatjana Tchumatchenko (Max Planck Institute for Brain Research, Frankfur, Germany) ? Marylka Yoe Uusisaari (OIST) -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3718 bytes Desc: not available URL: From Menno.VanZaanen at nwu.ac.za Mon Jan 20 03:42:34 2020 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Mon, 20 Jan 2020 10:42:34 +0200 Subject: Connectionists: 2nd CfP First workshop on Resources for African Indigenous Language (RAIL) @ LREC 2020 Message-ID: <5E2567FA020000AE0029CABF@v-pgw-nlx2.p.nwu.ac.za> Second call for papers First workshop on Resources for African Indigenous Language (RAIL) @ LREC 2020 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 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 International Standard Language Resource Number (ISLRN, wwa 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 hongzhi.kuai at gmail.com Mon Jan 20 03:45:36 2020 From: hongzhi.kuai at gmail.com (Hongzhi Kuai) Date: Mon, 20 Jan 2020 17:45:36 +0900 Subject: Connectionists: Call for Papers: Web Intelligence and Intelligent Agent Technology (WI-IAT 2020) Message-ID: [Apologies if you receive this more than once] CALL FOR PAPERS +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '20) 10-13 December 2020, MELBOURNE, AUSTRALIA Homepage: http://wi2020.vcrab.com.au/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic and complex system demands adaptive intelligent solutions, which will advance knowledge, human interactions and innovation. Web Intelligence and Intelligent Agent Technology (WI-IAT) is now a cutting edge area which aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with collective intelligence, data science, human-centric computing, knowledge management, network science, autonomous agents and multi-agent systems. It is committed to addressing research that both deepens the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enables the development and application of intelligent technologies. The main theme for the WI-IAT '20 is "Web Intelligence = AI in the Connected World". The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '20) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI-IAT '20 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. TRACKS AND TOPICS ++++++++++++++++++ Track 1: Web of People * Crowdsourcing and Social Data Mining * Human-Centric Computing * Information Diffusion * Knowledge Community Support * Modelling Crowd-Sourcing * Opinion Mining * People Oriented Applications and Services * Recommendation Engines * Sentiment Analysis * Situational Awareness Social Network Analysis * Social Groups and Dynamics * Social Media and Dynamics * Social Networks Analytics * User and Behavioural Modelling Track 2: Web of Data * Algorithms and Knowledge Management * Autonomy-Oriented Computing (AOC) * Big Data Analytics * Big Data and Human Brain Complex Systems * Cognitive Models * Computational Models * Data-Driven Services and Applications * Data Integration and Data Provenance * Data Science and Machine Learning * Graph Isomorphism * Graph Theory * Information Search and Retrieval * Knowledge Graph * Knowledge Graph and Semantic Networks * Linked Data Management and Analytics * Self-Organizing Networks * Semantic Networks * Sensor Networks * Web Science Track 3: Web of Things * Complex Networks * Distributed Systems and Devices * Dynamics of Networks * Industrial Multi-Domain Web * Intelligent Ubiquitous Web of Things * IoT Data Analytics * Location and Time Awareness * Open Autonomous Systems * Streaming Data Analysis * Web Infrastructures and Devices Mobile Web * Wisdom Web of Things (W2T) Track 4: Web of Trust * Blockchain analytics and technologies * Fake content and fraud detection * Hidden Web Analytics * Monetization Services and Applications * Trust Models for Agents * Ubiquitous Computing * Web Cryptography * Monetization services and applications * Web safety and openness Track 5: Web of Health * Agent Networks * Autonomy Remembrance Agents * Autonomy-oriented Computing * Behaviour Modelling * Distributed Problem-Solving Global Brain * Edge Computing * Individual-based Modelling Knowledge * Information Agents * Local-Global Behavioural Interactions * Mechanism Design * Multi-Agent Systems * Network Autonomy Remembrance Agents * Self-adaptive Evolutionary Systems * Self-organizing Systems * Social Groups and Dynamics Special Track: Emerging Web in Health and Smart Living * Big Data in Medicine * City Brain and Global Brain * Digital Ecosystems * Digital Epidemiology * Health Data Exchange and Sharing * Healthcare and Medical Applications and Services * Omics Research and Trends * Personalized Health Management and Analytics * Smart City Applications and Services * Time Awareness and Location Awareness Smart City * Wellbeing and Healthcare in the 5G Era IMPORTANT DATES ++++++++++++++++ The Program Chairs are soliciting contributed technical papers for presentation at the conference and publication in the Conference Proceedings by IEEE. Submissions are encouraged before the next deadlines: May 1st, 2020: Workshop/Special Session Proposals Submission Jun 1st, 2020: Acceptance of Workshop/Special Session Proposals Jul 1st, 2020: Full Papers Submission Aug 20th, 2020: Notification of Paper Acceptance/Rejection Dec 10th, 2020: Workshop/Special Session Dec 11th-13th, 2020: Main Conference PAPER SUBMISSION ++++++++++++++++ Papers must be submitted electronically via CyberChair in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html). Submitted papers will undergo a peer-review process, coordinated by the International Program Committee. ORGANIZATION STRUCTURE ++++++++++++++++++++++++ General Chairs * Yuefeng Li (Queensland University of Technology, Australia) * Rainer Unland (University of Duisburg-Essen, Germany) * Eugene Santos Jr. (Dartmouth College, USA) Program Committee Chairs * Jing He (Swinburne University of Technology, Australia) * Hemant Purohit (George Mason University, USA) * Willem-Jan van den Heuvel (Tilburg University, The Netherlands) Local Organizing Chairs * Chi-Hung Chi (CSIRO, Australia) * Anwaar Ulhaq (Charles Sturt University, Australia) Workshop/Special Session Chairs * Jian Cao (Shanghai Jiaotong University, China) * Ke Deng (RMIT University, Australia) * Xiaoying Gao (Victoria University of Wellington, New Zealand) Tutorial Chair * Rui Zhang (University of Melbourne, Australia) Demo Chair * Juan D. Velasquez Silva (University of Chile, Chile) Industry Track Chairs * Qing Liu (CSIRO, Australia) * Yimu Ji (Nanjing University of Posts and Communications, China) Publication Chairs * Guangyan Huang (Deakin University, Australia) * Yanfeng Shu (CSIRO, Australia) * Ruchuan Wang (Nanjing University of Posts and Communications, China) Publicity Chairs * Karin Becker (Federal University of Rio Grande do Sul, Brazil) * Yang Liu (Hong Kong Baptist University, HK, China) * Muhammad Abulaish (South Asian University, India) * Leonidas Anthopoulos (University of Thessaly, Greece) * Yuanfang Li (Monash University, Australia) WIC Steering Committee Chairs * Ning Zhong (Maebashi Institute of Technology, Japan) * Jiming Liu (Hong Kong Baptist University, HK, China) WIC Executive Secretary * Xiaohui Tao (University of Southern Queensland, Australia) WebMaster * Mengjiao Guo (Swinburne University of Technology, Australia) CyberChairMaster * Hongzhi Kuai (Maebashi Institute of Technology, Japan) If you have any questions, please email us at wi.iat.2020.12 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Mon Jan 20 04:01:44 2020 From: hongzhi.kuai at gmail.com (Hongzhi Kuai) Date: Mon, 20 Jan 2020 18:01:44 +0900 Subject: Connectionists: Call for Papers: Brain Informatics 2020 (BI'20) Message-ID: [Apologies if you receive this more than once] *----------------------------* *CALL FOR PAPERS * *----------------------------* The 13th International Conference on Brain Informatics (BI'20) September 18-20, 2020, Padova, Italy Homepage: http://www.bi2020.org/ ------------------------------------------------------------------------ Innovative Computational Approaches for Understanding Brain Functions and Treat its Disorders ------------------------------------------------------------------------ The International Conference on Brain Informatics series (BI) has established itself as the world's premier research forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. The 13th International Conference on Brain Informatics (BI2020) will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings, and strategies in brain informatics research and brain-inspired concepts and technologies. It welcomes emerging technologies for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for brain disorders or injury, and for generating brain-inspired "smart" artificial intelligence and computing technologies to meet future societal needs. It will educate and expand the brain informatics workforce and create new career opportunities for brain research and related innovations. *** Topics and Areas for Parallel Presentations *** The BI'20 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing *----------------------------------------------- * *Paper Submission and Publications * *----------------------------------------------- * Paper Submission: Full papers should be limited to a maximum of 10 pages including figures and references in Springer LNCS Proceedings format. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal ( https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors. Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal ( https://braininformatics.springeropen.com/). *---------------------------------------- * *Workshop & Special Sessions * *---------------------------------------- * Proposal Submissions: BI2020 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should be concise with 1-3 pages, and should include 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. Publications: Accepted workshop and special session full papers will be published at the same BI proceedings at the Springer-Nature LNAI Brain Informatics Book Series. Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series, or a special issue at the Brain Informatics Journal. *---------------------------- * *IMPORTANT DATES * *---------------------------- * February 1, 2020: Workshop, Special Session & Tutorial proposal submission deadline April 1, 2020: Papers submission deadline June 1, 2020: Notification of paper acceptance June 1, 2020: Abstract submission deadline July 1, 2020: Notification of abstract acceptance July 1, 2020: Early bird registration deadline July 15, 2020: Paper registration deadline September 18, 2020: Workshops, Special Sessions and Tutorials September 19-20, 2020: Main conference Conference Venue ================ University of Padova, Padua, Italy ORGANIZERS =========== General Chairs Mufti Mahmud (Nottingham Trent University, UK) Stefano Vassanelli (University of Padova, Italy) Advisors Amir Hussain (Edinburgh Napier University, UK) Hanchuan Peng (SEU-Allen Institute for Brain & Intelligence, China) Maurizio Corbetta (Padova Neuroscience Center, Italy) Ning Zhong (Maebashi Institute of Technology, Japan) Program Chairs Alessandra Bertoldo (University of Padova, Italy) Michele Giugliano (International School for Advanced Studies, Italy) Michela Chiappalone (Italian Institute of Technology, Italy) Special Session and Workshop Chairs Alberto Testolin (University of Padova, Italy) Marzia Hoque Tania (Anglia Ruskin University, UK) Yang Yang (Maebashi Institute of Technology, Japan) Local Organizing Chairs Marco Dal Maschio (University of Padova, Italy) Marco Zorzi (University of Padova, Italy) Samir Suweis (University of Padova, Italy) Publicity Chairs Claudia Cecchetto (Okinawa Institute of Science & Tech., Japan) M Shamim Kaiser (Jahangirnagar University, Bangladesh) Saiful Azad (University of Malaysia Pahang, Malaysia) Shouyi Wang (University of Texas at Arlington, USA) Vicky Yamamoto (USC Keck School of Medicine, USA) Zhiqi Mao (Chinese PLA General Hospital, China) CyberChairMaster Hongzhi Kuai (Maebashi Institute of Technology, Japan) Webmaster Shuvashish Paul (Jahangirnagar University, Bangladesh) -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.rovetta at unige.it Mon Jan 20 07:56:21 2020 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Mon, 20 Jan 2020 13:56:21 +0100 Subject: Connectionists: Deadline approaching - Special Session IEEE EAIS 2020: Advances in segmentation of data streams Message-ID: <3b234eb9-804a-23b6-6038-c1fd0f89c7e9@unige.it> DEADLINE THIS WEEK: JANUARY 25, 2020 **** Advances in segmentation of data streams **** SPECIAL SESSION @ IEEE EAIS 2020 https://sites.google.com/view/eais2020/conference/special-sessions/advances-in-segmentation-of-data-streams http://eais2020.di.uniba.it/ Due to the growing presence of ubiquitous data sources and the requirement for shorter and shorter response times, data streaming is steadily becoming the key technology to modern information processing, and this trend is bringing up new challenges. As data analysis moves from simple organisation and classification to content understanding, for instance, the meaning of segmentation becomes more and more complex to define. When does a concept start within a text, and where does it stop? Which objects are interesting in a video, and where are they located? When does a machine start to show a degradation process that will lead to a need for maintenance? Where does a spoken text start to show a certain mood? This special session aims to explore current topics in data stream understanding, with emphasis on segmentation, the process of identifying meaningful entities within a stream of data. This is often an ill-defined goal, where object boundaries are uncertain and object definition is unclear, subjective, or not given in advance. Notwithstanding this, the task emerges everywhere and can be instantiated in a vast number of vertical application areas, including just as an indication: - Natural language processing/understanding - The Internet of Things (IoT) and sensor networks - Industrial process control - Gesture recognition in artificial vision - Speech analysis and synthesis - Road traffic monitoring and control (Smart City) - Predictive maintenance (Industry 4.0) - Health monitoring - Web traffic analysis and user profiling - Extreme climatic event forecasting - Sentiment analysis in marketing - Automatic video scene identification Contributions on any of these subject areas, as well as other, are sought for this special session, as long as they focus on the intended theme. Diversity is encouraged, as it promotes cross-fertilisation. Special session organizers: Stefano Rovetta University of Genova, Italy Zied Mnasri zied.mnasri at enit.utm.tn University of Tunis El Manar, Tunis, Tunisia and University of Genova, Italy From dimitrije.markovic at tu-dresden.de Mon Jan 20 08:27:09 2020 From: dimitrije.markovic at tu-dresden.de (Dimitrije Markovic) Date: Mon, 20 Jan 2020 13:27:09 +0000 Subject: Connectionists: Deadline extension: Special Entropy Issue "Information Theory in Computational Neuroscience" Message-ID: <1579526829611.60474@tu-dresden.de> Dear Colleagues, We cordially invite you to submit a manuscript for possible publication in a Special Issue on "Information Theory in Computational Neuroscience" to be published in the journal Entropy (ISSN 1099-4300, IF 2.419, http://www.mdpi.com/journal/entropy). The aim of the Special Issue is to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. You can see full details of the scope and submission details at: https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscience The new submission deadline is 31 March 2020. You may send your manuscript at any time before the deadline or a bit later. Submitted papers should not be under consideration for publication elsewhere. Entropy is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Please kindly note that an Article Processing Charge (APC) of CHF 1600 currently applies to all accepted papers. Fortunately, it is noticed that your institute have already had a central open access fund established in MDPI's Institutional Open Access Program, it means you do not have to pay the publication fees and your institute will cover it for you if you submit your papers to MDPI journals (see details at: ). You may contact your library and confirm this. Please do not hesitate to come back to us if there is anything further that we can help with. We look forward to hearing from you. Kind regards, Dimitrije Markovic and Claudius Gros ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universit?t Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ ============================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Jan 20 09:19:33 2020 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 20 Jan 2020 15:19:33 +0100 Subject: Connectionists: ISWC 2020 - Call for Workshop and Tutorial Proposals: 10 days remaining Message-ID: <64A33B3D-4021-42D4-A34A-0BDFADAFF6CC@gmail.com> Call for Workshop and Tutorial Proposals: 10 days remaining 19th International Semantic Web Conference (ISWC 2020) Athens, Greece, November 2-6, 2020 http://iswc2020.semanticweb.org Proposals due: January 30, 2020 Submission site: https://easychair.org/conferences/?conf=iswc2020 Call for Workshops: https://iswc2020.semanticweb.org/calls/call-for-workshop-proposals/ Call for Tutorials: https://iswc2020.semanticweb.org/calls/call-for-tutorial-proposals/ 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. Besides the main technical program, ISWC will host several workshops on topics related to the general theme of the conference. The role of the workshops is to provide a setting for focused, intensive scientific exchange among researchers and practitioners interested in a specific topic. As such, workshops are the primary venues for the exploration of emerging ideas as well as for the discussion of novel aspects of established research topics. In addition, ISWC 2020 will feature a tutorial program addressing the diverse interests of its audience: Semantic Web practitioners that wish to learn about new technologies, novices to the Semantic Web interested in introductory tutorials to key Semantic Web / Linked Data topics, government and industry representatives focusing on the applicability of Semantic Web / Linked Data technologies in practical settings. We hereby invite you to submit a workshop or tutorial proposal on a research topic relevant to the ISWC 2020 audience. Track Chairs: Sabrina Kirrane (Vienna University of Economics and Business, Austria) Satya S. Sahoo (Case Western Reserve University, USA) Contact: iswc2020-workshop at easychair.org iswc2020-tutorial 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 fpkibm at gmail.com Mon Jan 20 15:04:18 2020 From: fpkibm at gmail.com (Falk Pollok) Date: Mon, 20 Jan 2020 15:04:18 -0500 Subject: Connectionists: FastPath 2020: International Workshop on Performance Analysis of Machine Learning Systems (An ISPASS Workshop under the auspices of IEEE) Message-ID: 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 krallinger.martin at gmail.com Mon Jan 20 12:27:48 2020 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Mon, 20 Jan 2020 18:27:48 +0100 Subject: Connectionists: Extended deadline for MultilingualBIO 2020 - LREC 2020 - Marseille, May 16 Message-ID: 2nd Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020) 16 May 2020 ? Marseille, France ? co-located with LREC 2020 SECOND CALL FOR PAPERS http://temu.bsc.es/multilingualbio2020/ ******EXTENDED DEADLINE: 21 February 2020******* The second edition of MultilingualBIO, at the LREC 2020 Conference , is a unique opportunity to promote the development of biomedical text processing resources and components in languages beyond English, exploring the use of novel methodological advances, e.g. transfer-learning techniques such as contextual embeddings, for a diversity of tasks in the domain, including machine translation. In this workshop, we plan to address issues, such as the following (but not restricted to): - Building of MT systems adapted to the biomedical domain. - Production of multilingual corpora in the biomedical domain. - Creation (and translation) of multilingual biomedical glossaries, ontologies and terminological resources - Application of transfer-learning techniques across tasks in the biomedical domain, such as contextual embeddings. - Extension of the coverage of the normative terminologies to languages other than English (e.g. ontologies from the Open Biomedical Ontology repository like HPO, LOINC, MEDRA, UMLS, SNOMED-CT, RxNorm etc). - Dealing with localization issues, including adaptation to local varieties of international languages (UK vs USA English, Spanish from Spain and Latin America or USA, etc.). - NLP and text mining applied to health, biomedicine and related domains. - Medical named entity recognition and grounding systems beyond English. February 21, 2020: Extended paper submission deadline March 13, 2020: Acceptance notifications April 2, 2020: Camera-ready and final programme of Workshop Proceedings Three types of submissions are invited: - Research papers, describing original research; these can be either long (6-8 pages, not including references) or short (3-4 pages, not including references); - Project notes, describing recent, ongoing or planned projects (2-4 pages including references); - Demonstration notes, accompanying demonstration of software, tools, or systems (2-4 pages including references). Organising Committee: - Maite Melero, Barcelona Supercomputing Center, Spain. - Martin Krallinger, Barcelona Supercomputing Center, Spain. - Marta Villegas, Barcelona Supercomputing Center, Spain. - Jordi Armengol-Estap?, Barcelona Supercomputing Center, Spain. - Aitor Gonzalez-Agirre, Barcelona Supercomputing Center, Spain. Further details can be found in the workshop website . -------------- next part -------------- An HTML attachment was scrubbed... URL: From asier.erramuzpe at gmail.com Tue Jan 21 03:17:39 2020 From: asier.erramuzpe at gmail.com (Asier Erramuzpe Aliaga) Date: Tue, 21 Jan 2020 10:17:39 +0200 Subject: Connectionists: Industrial Ph.D. on Machine Learning in cognitive rehabilitation (La Rioja, Spain). Deadline January 31, 2020 Message-ID: [Apologies for cross-posting] Industrial Ph.D. position on Machine Learning in cognitive rehabilitation (La Rioja, Spain) Neuronup is a leading company for cognitive rehabilitation working with several thousands of patients worldwide. More information at https://app.neuronup.com/assets/pdf/info/info_en_US.pdf and https://www.neuronup.com/en/ The Neuronup headquarters are located in Logro?o, the capital of the region La Rioja, Spain. Logro?o is a Northen city in Spain which is only 1.30h far from Bilbao-Basque Country, 1.50h from San Sebastian-Basque Country, 1h from Pamplona-Navarre Duration of the contract: 3 years, 40 h a week Gross salary: 24K EUR Cost of living in Logro?o Requisites (all the applicants must have): R1. Degree in Computer Science or Telecommunications Engineering R2. MSc in Computer Science or Telecommunications Engineering. R3. Average marks of first degree of 7.5/10 or higher. R4. Experience in Python and R R5. Have a permanent residence in Europe R6. C1 English Level The applicant will finalize an Industrial Ph.D. in Machine Learning in Health, funded by the CDTI-project "Digital solutions for rehabilitation and cognitive stimulation in neuropsychology" Tasks to perform during the Ph.D.: T1. Development of prediction models. T2. Classification and categorization of patients. T3. Model validation. T4. Multi-dimension data visualization T5. Integration of developed tools into the Neuronup database and search engine. *Interested applicants send an updated CV and two reference letters to neuronup at neuronup.com before January 31, 2020* -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.langer at psychologie.uzh.ch Tue Jan 21 03:27:34 2020 From: n.langer at psychologie.uzh.ch (Nicolas Langer) Date: Tue, 21 Jan 2020 09:27:34 +0100 Subject: Connectionists: Postdoctoral position in Cognitive Neuroscience available at University of Zurich Message-ID: <26CCC624-E4EF-43B0-AD46-54DB58A1EC86@psychologie.uzh.ch> Postdoctoral Researcher in multimodal Cognitive Neuroscience Department: Department of Psychology at the University of Zurich (Switzerland), Methods of Plasticity Research (http://www.psychology.uzh.ch/en/chairs/plafor.html ) Position: Postdoctoral Researcher (salary 98?000 USD/year; funding up to 6 years) Description of UZH unit: Our lab designs and implements novel multimodal paradigms (e.g. combined EEG and eye-tracking) to study variations in cognitive performance across the continuum from healthy to pathological functioning. This innovative approach allows us to extract and analyze a wealth of multivariate parameters using state-of-the-art neuroscientific methods, such as functional network models, machine learning, longitudinal analyses and computational modeling. These paradigms can also be used to decompose performance into interpretable components of cognitive and perceptual processing of cognitive tests that are used routinely in clinical diagnosis. To investigate those research objectives, we are using a variety of psychological and neuroscientific methods, such as EEG, eye-tracking, structural MRI, DTI and behavioural testing. Responsibilities: The successful candidate will work on research in large scale multimodal projects in the field of aging (predictors of healthy aging and biomarkers for dementia) and developmental disorders (see project descriptions below). Main responsibilities include the analysis of EEG and eye-tracking data, dissemination of study results in peer reviewed journals, and the supervision of PhD and Master students. The candidate will take part in ongoing projects and initiate new research within the team of Prof. Nicolas Langer, who is also a Neuroscience Center Zurich (ZNZ) group leader (https://www.neuroscience.uzh.ch/en.html ), closely collaborating with the University Research Priority Programme from the University of Zurich ?Dynamics of Healthy Aging? (https://www.dynage.uzh.ch/en.html ), the Healthy Brain Network of the Child Mind Institute, New York (http://fcon_1000.projects.nitrc.org/indi/cmi_healthy_brain_network/) and the Department of Computer Science at ETH Zurich (https://www.systems.ethz.ch/ ). Workload %: 80 - 100% Qualifications: - PhD degree in a field related to cognitive neuroscience (e.g., cognitive neuroscience, neuroscience, (neuro-)psychology, developmental psychology, medicine, electrical engineering, biomedical engineering or computer science) - Expertise in EEG analyses is a must - Proficiency in programming in Matlab (e.g., EEGLAB, brainstorm) or R and Python - Solid knowledge about statistical methods (knowledge in machine learning is a plus) - Research background in the design of neurophysiological experiments - Excellent verbal and written English skills - Previous experience in developing analysis methods for sMRI and DTI data is desirable - Interest in teaching about methods (e.g. analysis of EEG data, or applications of machine learning in neuroscience) Language requirements: English We offer: - To work in a team of highly motivated young researchers who are passionate about neuroscience, psychology and computer science - A very competitive salary (98?000 USD/year) and generous social benefits - Employment up to 6 years with possibility to continue as senior scientist - Generous support for professional travel and research needs (~5?000 USD/year) - An inspiring work environment within the Department of Psychology and the University of Zurich and part of the Neuroscience Center Zurich (ZNZ) with many high-caliber collaborations (Child Mind Institute, ETH) and scientific exchange - The opportunity to live in Zurich, one of the world?s most attractive cities Please visit?https://www.pa.uzh.ch/en/Willkommen-an-der-UZH.html ) for further information. This position opens on: 1.3.2020 More information: Prof. Nicolas Langer, n.langer at psychologie.uzh.ch https://www.psychology.uzh.ch/dam/jcr:c3e1fed9-71fc-4887-b407-165cc786f38a/Job_Ad_Post_Doc_final.pdf Application To be considered please stick to the following application format: - CV including publication list and contact details of two referees (max. 3 pages) - Statement describing motivations, personal qualifications and research interests (max. 2 pages) - Save application in one single pdf file with the file name ?Methlab_[SURNAME]_[name].pdf? - Send application by email to n.langer at psychologie.uzh Applications will be considered until the position is filled. Currently funded projects: A ?Neurometric? Approach to Cognitive Aging The aim of the project is to study individual differences of cognitive functioning in ageing. We developed a multimodal test battery that assesses key domains of cognitive aging and offers temporally proximal EEG-, eye-tracking-, and behavioral-measures. Over the last two years, the test battery was collected on more than 200 healthy elderly subjects and 100 healthy young subjects. For a subset of the data, we have additionally acquired neuroimaging (sMRI and DTI) and smartphone data (GPS and social activity). Currently, the existing data set will be extended with 100 mildly cognitively impaired (MCI) elderly individuals. Multi-Dimensional Phenotyping in Health and Disease: The present project offers a unique large-sample dataset (Healthy Brain Network) that provides a wide array of different psychiatric developmental disorders (>2000 subjects already collected; target: 10?000 subjects). The goal is to classify the multimorbidity of children and adolescents based on resting-state and task-related EEG, eye-tracking, neuroimaging (sMRI and DTI), demographics, and cognitive behavioral data. Most of the previous studies employ traditional univariate statistics on relatively small samples. Multivariate machine learning approaches have a great potential to overcome the limitations of this approach and can help to improve the more accurate diagnosis of psychiatric developmental disorders. Our lab is closely working together with Prof. Michael Milham (Healthy Brain Network &Child Mind Institute, New York, USA) and Prof. Simon Kelly (University College Dublin, Ireland). Nicolas Langer Assistant Professor of Methods of Plasticity Research University of Zurich Andreasstrasse 15 (Office AND.4.56) 8050, Zurich, Switzerland n.langer at psychologie.uzh.ch phone: (+41) 44 635 34 14 http://www.psychology.uzh.ch/en/areas/nec/plafor.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Tue Jan 21 05:02:17 2020 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Tue, 21 Jan 2020 10:02:17 +0000 Subject: Connectionists: Call For Participation: 2nd Edition of ImageCLEF Coral Annotation Challenge (@ CLEF 2020) Message-ID: *The 2nd Edition of the ImageCLEF Coral Annotation Challenge 2019* Website: https://www.imageclef.org/2020/coral *Motivation* The increasing use of structure-from-motion photogrammetry for modelling large-scale environments from action cameras attached to drones has driven the next-generation of visualisation techniques that can be used in augmented and virtual reality headsets. It has also created a need to have such models labelled, with objects such as people, buildings, vehicles, terrain, etc. all essential for machine learning techniques to automatically identify as areas of interest and to label them appropriately. However, the complexity of the images makes impossible for human annotators to assess the contents of images on a large scale. Advances in automatically annotating images for complexity and benthic composition have been promising, and we are interested in automatically identify areas of interest and to label them appropriately for monitoring coral reefs. Coral reefs are in danger of being lost within the next 30 years, and with them the ecosystems they support. This catastrophe will not only see the extinction of many marine species, but also create a humanitarian crisis on a global scale for the billions of humans who rely on reef services. By monitoring the changes and composition of coral reefs we can help prioritise conservation efforts. *Data* The data for this task originates from a growing, large-scale collection of images taken from coral reefs around the world as part of a coral reef monitoring project with the Marine Technology Research Unit at the University of Essex (currently containing over 2TB of image data of benthic reef structure). * Challenge description* Participants will be require to annotate and localise coral reef images by labelling the images with types of benthic substrate together. Each image is provided with possible class types. *Preliminary Schedule* - *21.01.2020*: Registration opens for all ImageCLEF tasks (until *27.04.2020*) - *21.01.2020*: training release starts - *16.03.2020*: Test data release starts - *11.05.2020*: Deadline for submitting the participants runs - *18.05.2020*: Release of the processed results by the task organizers - *25.05.2020*: Deadline for submission of working notes papers by the participants - *15.06.2020*: Notification of acceptance of the working notes papers - *29.06.2020*: Camera-ready working notes papers - *22-25.09.2020*: CLEF 2020 , Thessaloniki, Greece *Participant Registration* Please refer to the general ImageCLEF registration instructions *Organizing Committee* - Jon Chamberlain ,University of Essex, UK - Adrian Clark ,University of Essex, UK - Antonio Campello ,Wellcome Trust, UK - Alba Garc?a Seco de Herrera ,University of Essex, UK For more details and updates, please visit the task website at: https://www.imageclef.org/2020/coral And join our mailing list: https://groups.google.com/d/forum/imageclefcoral 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: -------------- next part -------------- A non-text attachment was scrubbed... Name: flyer.pdf Type: application/pdf Size: 7268461 bytes Desc: not available URL: From Franz.Knappik at uib.no Tue Jan 21 05:08:26 2020 From: Franz.Knappik at uib.no (Franz Ulrich Knappik) Date: Tue, 21 Jan 2020 10:08:26 +0000 Subject: Connectionists: =?windows-1252?q?Reminder=3A_CfP_=93The_Phenomeno?= =?windows-1252?q?logy_of_Joint_Action=22_=28SI_Philosophical_Psychology?= =?windows-1252?q?=2C_deadline_for_abstracts_Jan_31st=29?= In-Reply-To: <69c15587d36d4a208ad24fa19296d9a6@uib.no> References: , <69c15587d36d4a208ad24fa19296d9a6@uib.no> Message-ID: <9e7515abebb9495e83c1bb44b65a5cb1@uib.no> Reminder: Call for papers ***deadline for abstracts January 31st, 2020*** Special Issue of "Philosophical Psychology": ?The Phenomenology of Joint Action. Structure, Mechanisms, and Functions? Guest editors: Franz Knappik & Nivedita Gangopadhyay (University of Bergen) Philosophers, psychologists and neuroscientists have extensively studied the ?sense of agency? and other aspects of the phenomenology of individual action. Joint action has been the topic of much work in these disciplines, too, but that work has focused on issues about the structure, ontogenesis and neurophysiology of joint action. The phenomenology of joint action has only recently become a topic of contemporary debate in philosophy and other cognitive sciences. It is the aim of this special issue to promote this emerging interest in the phenomenology of joint action, and to provide an interdisciplinary forum for discussing questions about the structure, mechanisms and functions of our experience of joint action. We invite contributions from all relevant fields, including analytic philosophy, phenomenology, theoretical and experimental psychology and neuroscience. Empirical researchers who reflect upon their work from a theoretical/philosophical perspective, and theoretical psychologists and neuroscientists casting a perspective on the empirical literature, are particularly encouraged to submit. Questions to be addressed in the special issue include the following: ? Does the phenomenology of joint action include the same elements as the phenomenology of individual action, or are there differences? ? Are the phenomenal features of joint action distinctly intersubjective, and if so, what makes this the case? ? What cognitive and neural mechanisms underlie the phenomenology of joint action, and what factors modulate that phenomenology? ? Does the experience of joint action display effects of intentional binding? ? What are the functions of our experience of joint action with regard to factors like ontogenesis of joint action capacities; the coordination, monitoring and control of joint action; first-personal knowledge about joint action; and our practices of holding agents responsible for their actions? ? What can we learn about the phenomenology of joint action and its functions by exploring cases of conflict and breakdown (e.g. misunderstandings, relevant psychopathological conditions), large-scale and complex cases of joint actions, cases with a particularly strong and complex phenomenology (e.g. dance, theatre, music, cult actions, group therapy, and social-political activism), and human-machine interaction? Important dates: January 31, 2020: deadline for abstracts (ca. 500 words), to be sent to the guest editors at franz.knappik at uib.no and nivedita.gangopadhyay at gmail.com, with ?Abstract Special Issue PhilPsych? as subject. February 15, 2020: notification about whether the planned paper is suitable for submission. July 31, 2020: deadline for submission of papers (max. 10.000 words) for double blind peer review at https://mc.manuscriptcentral.com/cphp. For more information, including a bibliography and a more detailed description of the topics and questions to be addressed in submissions, please consult the extended version of this Call for Papers at https://think.taylorandfrancis.com/philosophical-psychology-phenomenology-joint-action/. ============= Franz Knappik Professor Department of Philosophy, University of Bergen Room 216B, Sydnesplassen 12/13, 5020 Bergen, Norway Homepage: www.uib.no/en/persons/Franz.Knappik From h.saal at sheffield.ac.uk Tue Jan 21 12:19:40 2020 From: h.saal at sheffield.ac.uk (Hannes Saal) Date: Tue, 21 Jan 2020 17:19:40 +0000 Subject: Connectionists: Save the date! UK Neural Computation 2020 June 22nd-24th in Sheffield Message-ID: Save the date! We are pleased to announce the 2nd annual UK Neural Computation conference, June 22nd-24th 2020, at the University of Sheffield This is a national meeting for the UK community working on the computational side of neuroscience, which last year attracted more than 130 researchers. Same basic format as last year, so we will have modelling, maths, data science, theory, machine-learning, and all combinations thereof. Schedule: June 22nd: Tutorials and seminars for early career researchers June 23rd-24th: Main meeting Confirmed speakers for the main meeting: Rui Ponte Costa (Bristol) Dan Goodman (Imperial) Marc de Kamps (Leeds) Leah Krubitzer (UC Davis) Peggy Series (Edinburgh) Huiling Tan (Oxford) Yulia Timofeeva (Warwick) Mark Van Rossum (Nottingham) Keynote: David Willshaw (Edinburgh) For further details, see the website: http://neuralcomputation.uk/ Please look out for the abstract submission and registration announcement, coming soon. Hope to see you there! Hannes Saal (Sheffield) Robert Schmidt (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ale at sissa.it Wed Jan 22 04:16:24 2020 From: ale at sissa.it (Alessandro Treves) Date: Wed, 22 Jan 2020 10:16:24 +0100 Subject: Connectionists: from Italy to Computer Science at Berkeley - fellowships In-Reply-To: <20200108082118.Horde.wAbmIh8V4mxeFYLu2WYj9aA@webmail.sissa.it> References: <20200108082118.Horde.wAbmIh8V4mxeFYLu2WYj9aA@webmail.sissa.it> Message-ID: <20200122101624.Horde.DqWbUx8V4mxeKBLop-t1iHA@webmail.sissa.it> Are you a young researcher in Italy and interested in computer science at Berkeley? Fulbright offers scholarships for a research period at the renowned ICSI ? International Computer Science Institute. It is an opportunity for temporary research assistants (Italian or non-Italian) at Italian research centers or universities, who have completed their PhD no later than 3 years prior to the DEADLINE, which is February 3, 2020. Visit the Call by FULBRIGHT http://www.fulbright.it/icsi/ to apply. -- Alessandro Treves SISSA, Cognitive Neuroscience, http://people.sissa.it/~ale/limbo.html if in, rm 241, via Bonomea 265, 34136 Trieste, Italy: +39-040-3787623 From Vittorio.Murino at iit.it Wed Jan 22 07:44:13 2020 From: Vittorio.Murino at iit.it (Vittorio Murino) Date: Wed, 22 Jan 2020 13:44:13 +0100 Subject: Connectionists: [Jobs] Open positions in computer vision and machine learning in Huawei Technology Ltd, Ireland Research Center, Dublin Message-ID: Apologise for multiple postings ********************************************************************************* Video Intelligence Researcher Video Competence Centre, Huawei Technologies Ireland Research Centre, Dublin, Ireland Description We are looking for experienced researchers to join our Video Intelligence team. The team uses pattern recognition and machine learning methods applied to computer vision and video processing. Working with our software engineering team, together we will help Huawei to improve its current video product portfolio and drive the next generation of business and consumer experience. *Key Responsibilities Include:* ?Drive the execution of research projects: propose research projects, propose solutions to research problems, develop algorithms to solve those problems and ensure that these projects are delivered on time. ?Develop and deliver proof of concept software deliverables for R&D projects. ?Personal commitment to constantly challenge yourself & improve your skills in a fast-moving domain, and keep up-to-date in domain technologies. ?Support senior experts in research, industrial analysis and reporting activities. ?Open & communicative approach, keeping stakeholders fully informed and sharing your experience & expertise with peers. ?Availability to travel for technical and scientific conferences, technical exhibitions, meetings with clients and/or other internal teams. ? *Skills & Experience ? Required* ?PhD in computer vision, image processing, deep learning/machine learning or significant relevant industry experience. ?Research experience in (one or multiple areas) Computer Vision, Video Processing, Machine Learning/Deep Learning, Pattern Recognition, Multimedia and Data Science as well as experience in applying academic studies to industrial applications. ?Specifically, knowledge and former experience of work on domain adaptation and behavior analysis (e.g., action recognition) would be preferable. ?Relevant track record publications in major conferences ? CVPR, ICCV, ECCV, ICIP, ICPR, ICML, NeurIPS, ICLR, ACMMM, ICRA, IROS, etc. ? and journals in the area ? T-PAMI, CVIU, PR, T-IP, T-AC, T-MM, T-RA, etc. ?Excellent programming skills and knowledge of relevant programming languages for R&D (e.g. C++, Python, Matlab). ?Ability to translate technical specifications into working code and solve complex problems with consideration of the end-user requirements. ?Excellent written and spoken communication skills. The candidate should demonstrate the ability to communicate complex research findings to stakeholders in an accessible manner. *Skills and Experience ? Desired* /It is not required for the candidate to possess skills in all of these areas. Some of these may be required for specific roles but they are valuable for all roles:/ ** ** *Desired Research Experience* ?Video intelligence and analytics: Object recognition, object detection & tracking, media metadata processing/analysis, motion detection, action recognition, event/activity detection and classification, segmentation, and visual saliency detection. ?Machine Learning: traditional ML methods (SVMs, Random Forest, etc.), supervised and unsupervised approaches, deep learning approaches such as ConvNets, LSTMs, Encoder-Decoder architectures, GAN, learning with scarce data, data augmentation, etc. ?Video processing: Video quality assessment, image/video enhancement (online and/or offline), image/video editing and rendering, and image-based translation and synthesis ** ** *Programming Language and Framework* ?Experience writing research code with either Java, C++, Matlab or Python ?Experience with deep learning frameworks such as Tensorflow, Caffe, Torch (Pytorch), Keras etc. ?Experience with common computer vision and machine learning packages such as Opencv, SciKit-Learn, xgboost etc. ** *About our Team* Huawei, the leading Telecommunications and IT solution provider, opened its European Research and Development (R&D) Centre in Ireland. Led by Huawei?s Video and AI vision, our *Video Competence Centre *was established in 2017 andcarries out pioneering R&D which leading and driving the next generation of industrial standards and products. Joining forces with top universities and industry leading partners, Huawei?s goal is to revolutionize both the consumer and enterprise markets. The Video Competence Centre?s mission is defining and driving Huawei?s R&D in the area of video intelligence for its enterprise and consumer businesses. To this end, the team investigates and designs novel and state-of-the-art algorithms in video intelligence and deep learning, more specifically in relation to behaviour analysis (e.g., object detection & recognition, segmentation, enhancement, event detection and classification, etc.) and domain adaptation/transfer learning approaches, in order to create the next generation of intelligent video products & solutions. The work will involve working in close relationships with other global teams in Huawei, including the video product teams, as well as the wider research and academic community. To achieve these goals we are looking at recruiting experienced researchers with expertise in Computer Vision and Machine Learning to complement our existing team of experts. *About the Company* Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains ? telecom networks, IT, smart devices, and cloud services ? we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees. *Location* This is a fulltime position at our R&D centre based in Dublin, Ireland. Business trips may be required as necessary to support strategic engagements. Recruitment Privacy Notice: http://career.huawei.com/reccampportal/portal/hrd/... * * *TO APPLY, PLEASE FOLLOW ONE OF THESE LINKS: * *https://apply.workable.com/huawei-ireland/j/C5FE573C83/ * or *https://apply.workable.com/huawei-ireland/j/99CAA8573F/* ONLY CANDIDATES WHO MAY LIVE AND WORK IN IRELAND WITHOUT RESTRICTION CAN BE CONSIDERED FOR THIS POSITION. DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED. -- Vittorio Murino ******************************************* Prof. Vittorio Murino, Ph.D. PAVIS - Pattern Analysis & Computer Vision Istituto Italiano di Tecnologia via Enrico Melen 83, Building B, Floor 8 16152 Genova, Italy Mobile: +39 329 6508554 E-mail: vittorio.murino at iit.it Secretary: Sara Curreli email: sara.curreli at iit.it Phone: +39 010 2897420 http://pavis.iit.it ******************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From l.zaadnoordijk at tcd.ie Wed Jan 22 08:17:35 2020 From: l.zaadnoordijk at tcd.ie (Lorijn Zaadnoordijk) Date: Wed, 22 Jan 2020 13:17:35 +0000 Subject: Connectionists: Two fully-funded PhD positions on infant neuroimaging and computational modelling at Trinity College Dublin, Ireland Message-ID: Join us! Two PhD fully-funded scholarships are available to study the foundations of cognition using infant neuroimaging and computational modelling. Apply before Jan 31 for China Scholarship Council funding, or before Mar 1 for funding from our ERC FOUNDCOG project. How does the human mind develop? The FOUNDCOG team will address this question using neuroimaging of infants, in their critical first year after birth, to capture the development of the brain and its functions. We will interpret the results by comparing them to computational models of learning from artificial intelligence. In addition to characterising the development of the human mind, we aim to understand how it is disrupted by brain injury and to produce new diagnostic tools for neonatologists. 1) PhD Scholarship in Infant Neuroimaging, to start in September 2020 2) PhD Scholarship in Computational Modelling, to start in September 2020 ? Includes fees, stipend and travel for 4 years, with funding from the ERC FOUNDCOG project ? Excellent candidates from outside of the EU will also be considered ? Selection will begin in March 2020, and the position will remain open until filled For more information, see: http://cusacklab.org/vacancies.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From april.robocup at gmail.com Wed Jan 22 09:39:06 2020 From: april.robocup at gmail.com (April Foster) Date: Wed, 22 Jan 2020 09:39:06 -0500 Subject: Connectionists: RoboCup Visiting Fellows Program - 2nd Call for Applications - Due Feb. 1 Message-ID: RoboCup Visiting Fellows Program - Feb. 1st ============================================================ Ever since 1997, The RoboCup Federation has been holding annual international research competitions and symposia in an effort to push the state of the art in robotics, artificial intelligence, and related fields. The community remains healthy and vibrant, with students, postdocs, professors, and industry professionals meeting each year to compete and share their knowledge in a wide range of research competitions. Based on the beliefs that 1) RoboCup is a unique and special community and venue within the research community, and 2) that the only way to fully appreciate what it has to offer is to experience it firsthand, the RCF is pleased to announce a new RoboCup Visiting Fellows program. Successful applicants will receive: - full travel support for two people from your home institution and free registration to the 2020 international RoboCup in Bordeaux, France June 23-29, 2019 as an honored guest and observer. - up to an additional $10k USD in reimbursements of start-up expenses needed to start a new team for entry in 2021 and/or 2022 RoboCup events. - detailed, behind-the-scenes education about how the RoboCup community works, including meetings with current organizers and participants. The ideal applicants will be: - a pair of University faculty and a Ph.D. student or postdoc who have never participated in RoboCup, and are interested in learning about and becoming a part of the community. Application Requirements: - please send your CVs and a 2-page statement of interest that includes research interests, how RoboCup could support those interests, and possible RoboCup league(s) of interest. - a statement detailing what exposure the applicants have had to RoboCup in the past, if any, as well as a statement of commitment to attend RoboCup in Bordeaux for 6 days, from June 23rd-29th. We particularly encourage applications from people from underrepresented groups within the RoboCup community based on gender, ethnicity, or geography. Submission Details: - please send your materials by February 1st to april.robocup at gmail.com Requirements: - In addition to attending RoboCup 2020, RoboCup Visiting Fellows will be asked to submit a report within a month after the event summarizing their overall impressions as well as a proposed budget of up to $10k for startup costs of a new team. We look forward to receiving your applications! Sincerely, The RoboCup Federation Visiting Fellows Committee Minoru Asada Claude Sammut Rong Xiong Peter Stone -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.a.van.der.velde at rug.nl Wed Jan 22 09:58:08 2020 From: m.a.van.der.velde at rug.nl (Velde, van der, M.A.) Date: Wed, 22 Jan 2020 15:58:08 +0100 Subject: Connectionists: Reminder: Fifth Groningen Spring School on Cognitive Modeling (March 30 to April 3, 2020) Message-ID: *Fifth Groningen Spring School on Cognitive Modeling * *? ACT-R, Nengo, PRIMs, Error-driven learning & dynamical systems ?* Date: *March 30 to April 3, 2020 * Location: *Groningen, the Netherlands* Fee: ? 250 (late fee after February 15 will be ? 300) More information and registration: *www.cognitive-modeling.com/springschool * We would like to remind you of the 5th annual Groningen Spring School on Cognitive Modeling. As last year, the Spring School will offer courses on the ACT-R, Nengo, and PRIMs paradigms, as well as a course on error-driven learning. These courses consist of daily lectures, as well as hands-on tutorials that will give you practical experience with the topic. As a special feature for our 5th anniversary this year, we are offering a lecture series on dynamical systems. This lecture series should be interesting for anyone looking into modeling cognitive dynamics. It can be combined with each of the 4 courses mentioned above, but we especially recommend it in combination with Nengo for everyone interested in neuromorphic computing. The first day of the Spring School will provide an introduction to all five topics. From day two, spring school students will be asked to commit to one topic, for which they will attend lectures as well as hands-on tutorials. In addition, students can sign up for a second topic, for which they will attend lectures only. All students are invited to join a series of plenary research talks on the different paradigms. *The early registration deadline ends on February 15, so make sure to sign up before then.* Please let us know if you have any questions or check the website for more information: www.cognitive-modeling.com/springschool. Please feel free to forward the information to anyone who might be interested in the Spring School. We are looking forward to having you here in Groningen! The Spring School team ______ ACT-R Jelmer Borst, Maarten van der Velde, Stephen Jones, & Katja Mehlhorn (University of Groningen) Nengo Terry Stewart (University of Waterloo) PRIMs Niels Taatgen (University of Groningen) Error-driven learning Jacolien van Rij and Doroth?e Hoppe (University of Groningen) Dynamical Systems Herbert Jaeger (University of Groningen) -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Wed Jan 22 09:57:53 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Wed, 22 Jan 2020 22:57:53 +0800 Subject: Connectionists: CIKM2020 - Calls for Tutorial, Workshop Proposals, and Applied Research papers In-Reply-To: References: Message-ID: * Apologies for cross-posting * ** Call for TUTORIAL PROPOSALS, WORKSHOP PROPOSALS, and APPLIED RESEARCH PAPERS ** In conjunction with CIKM 2020 (Galway, Ireland - October 19th-23rd, 2020) https://cikm2020.org/ CALL FOR TUTORIAL PROPOSALS 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. Important Dates: Tutorial proposal deadline: April 17th 2020 Tutorial proposal notification: May 5th 2020 CALL FOR WORKSHOP PROPOSALS 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. Important dates: March 30th, 2020 Workshop proposal submission April 14th, 2020 Proposal acceptance notification CALL FOR APPLIED RESEARCH PAPERS More info: https://cikm2020.org/call-for-applied-research-papers/ The Applied Research Track aims at attracting submissions from both industry and academia that either solve or advance the understanding of issues related to deploying AI, IR and big data technologies as part of actual applications. Topics of Interest: We encourage submissions of works in the same area of relevance of the CIKM2020 Research Track but that describe applied and in-use works, including but not limited to the following application areas: - Business Intelligence - Social Networks and Social Good - Healthcare and Bioinformatics - Computing Infrastructures - Emerging Applications 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 From jaekel at psychologie.tu-darmstadt.de Wed Jan 22 10:13:01 2020 From: jaekel at psychologie.tu-darmstadt.de (=?iso-8859-1?Q?J=E4kel=2C_Frank?=) Date: Wed, 22 Jan 2020 15:13:01 +0000 Subject: Connectionists: Phd position in perceptual decision making @ TU Darmstadt Message-ID: The Models of Higher Cognition group (PI: Frank Jaekel) at the TU Darmstadt Centre for Cognitive Science is looking for a PhD student in the area of perceptual decision making. In a joint DFG-project with the Neurophysiology group at the University of Mainz (PI: Maik Stuettgen) we are investigating neural and cognitive processes underlying criterion learning. We are looking for candidates who are interested in theory and modeling (signal detection theory, probabilistic models, reinforcement learning, neural networks) as well as psychophysical experiments in humans. Informal inquiries can be sent to jaekel at psychologie.tu-darmstadt.de. More information on the Models of Higher Cognition group can be found here: https://www.psychologie.tu-darmstadt.de/mhc and the full job ad is here: https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote/aktuelle_stellenangebote/stellenausschreibungen_detailansichten_1_351104.en.jsp -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tanuj.Gulati at csmc.edu Wed Jan 22 19:45:52 2020 From: Tanuj.Gulati at csmc.edu (Gulati, Tanuj) Date: Thu, 23 Jan 2020 00:45:52 +0000 Subject: Connectionists: Postdoc position in Cedars-Sinai, Los Angeles Message-ID: <1518DCE8-4048-4B8D-BA35-B40D49F3C781@csmc.edu> We have a postdoc position available in the Motor Systems Neuroscience and Neural Engineering Laboratory (www.gulatilab.org ) at Cedars-Sinai?s newly formed Center of Neural Science (website: https://www.cedars-sinai.org/research/areas/neural-science.html). Ideal candidate would hold a PhD in Biomedical Engineering/ Neuroscience or a related discipline. The project will involve using a combination of systems neuroscience & neural engineering methods, as well as causal manipulation of networks (intact/ injured) sub-serving skilled motor behaviors. One of the immediate goals is to record from motor cortex and cerebellum together as rodents learn a reaching task. Postdoc will also participate in manuscript preparation, present data at conferences, and get an opportunity to mentor RAs/ grad students and research interns in the lab. Experience in one or more of the following domains is highly preferred: Matlab/ Python Programming, Animal Training, Neurophysiology. Possibilities exist to be involved in rodent/ clinical research. Interested candidates should contact me with their CV, a letter stating their interests & experiences, and contact information for 2-3 references. Email: tanuj.gulati at csmc.edu IMPORTANT WARNING: This message is intended for the use of the person or entity to which it is addressed and may contain information that is privileged and confidential, the disclosure of which is governed by applicable law. If the reader of this message is not the intended recipient, or the employee or agent responsible for delivering it to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this information is strictly prohibited. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From rhaschke at techfak.uni-bielefeld.de Thu Jan 23 04:18:51 2020 From: rhaschke at techfak.uni-bielefeld.de (Robert Haschke) Date: Thu, 23 Jan 2020 10:18:51 +0100 Subject: Connectionists: [jobs] PhD position in Deep Learning for Prosthetics Control (CITEC, Germany) Message-ID: Research Assistant - salary grade E13 TV-L While the dexterity of prosthetic hands continuously increased during the last decades (e.g. iLimb or Michelangelo hand), their control capabilities are still limited. We aim to significantly reduce this gap by applying new sensor technologies as well as machine learning techniques to enable continuous pose and motion control for hand amputees. Your tasks: - Development/application of suitable machine learning algorithms to map the sensor data to hand motions. Considered sensors will be: classic EMG, tactile, electrical impedance tomography, and ultrasound. A particular challenge will be the non-stationary data distribution due to hysteresis, temperature fluctuations, slipping of the sensors and other external disturbances. - Preparation, implementation and evaluation of experiments for data acquisition together with project partners. Key data: starting at the earliest possible / limited for 2 years / closing date for applications: 9/02/2020 Requirements: - master degree in Computer Science or a related subject with outstanding results - excellent knowledge and experience in the field of deep machine learning, especially unsupervised learning and RNNs - excellent programming skills in Python as well as TensorFlow / Keras - very good English skills - good command of German is required (or the willingness to learn this) For more information please contact rhaschke at techfak.uni-bielefeld.de or call +49 521 106 12122. Please send your application with the usual documents by email as a single pdf file to rhaschke at techfak.uni-bielefeld.de. Bielefeld University is particularly committed to the career development of its employees. It offers attractive internal and external training programmes. Employees have the opportunity to use a variety of health, counselling, and prevention programmes. Bielefeld University places great importance on a work?family balance for all its employees. To ensure equal opportunities, applications by women with the required qualifications are explicitly desired. Applications from suitably qualified handicapped persons are explicitly encouraged. Please send copies only. Original documents will not be returned. -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.rankin at gmail.com Thu Jan 23 06:35:19 2020 From: james.rankin at gmail.com (James Rankin) Date: Thu, 23 Jan 2020 11:35:19 +0000 Subject: Connectionists: UK PhD opportunities in Computational/Mathematical Biology or Neuroscience (EPSRC funded, 3.5 yrs, Sept 2020 start) Message-ID: *PhD in Computational/Mathematical Biology or Neuroscience (EPSRC funded, 3.5 yrs, Sept 2020 start) * There are a number projects proposed in Computational and Mathematical Biology or Neuroscience in the following call (follow Research Theme link to Mathematical biology and medicine). General information & apply (funding is primarily targeted at currently UK-based students): http://www.exeter.ac.uk/studying/funding/award/index.php?id=3830 Deadline is soon: 30th January. Contact: j.a.rankin at exeter.ac.uk or m.goodfellow at exeter.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From pierre-yves.oudeyer at inria.fr Thu Jan 23 06:45:39 2020 From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer) Date: Thu, 23 Jan 2020 12:45:39 +0100 Subject: Connectionists: [publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems In-Reply-To: <467B0365-F2F9-4AAD-AC1F-2D83380226E5@inria.fr> References: <467B0365-F2F9-4AAD-AC1F-2D83380226E5@inria.fr> Message-ID: <5FFC44DB-AB8D-4059-9AA9-C0B5EE10C042@inria.fr> Dear colleagues, we are happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is an annual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence, machine learning and neuroscience. It is available at: https://tiny.cc/2072iz Featuring dialog: === "Leveraging Adaptive Games to Learn How to Help Children Learn Effectively" == Dialog initiated by Georges Kachergis with responses from: Jennifer Zosh, Roberta Golinkoff, Kathy Hirsch-Pasek, Rebecca Dore, Brenna Hassinger-Das, Benedict du Boulay and Ken Koedinger. == Topic: Fundamental research aiming to understand better how children learn and develop can have a major societal impact. One key example is education: in the last decades, several advances enabled to show how certain learning and teaching techniques could improve significantly comprehension and memorization in children. A major challenge consists in translating these advances into real classroom practices, a challenge at the core of ?translational educational sciences?. In this newsletter, a dialog initiated by Georges Kachergis highlights how adaptive learning technologies, e.g. educational apps, can be both an efficient channel for this translation, and an opportunity for further understanding how to foster efficient learning in the class- room. Several experts of this domain provide their point of view and discuss various challenges to be addressed, ranging from establishing strong collaborations between developmentalists, app developers and teachers, to deploying large-scale ecologically valid experimentations. They also offer a perspective on how artificial intelligence can play a key role in impactful educational apps, enabling to implement per- sonalized and motivating learning strategies. Call for new dialog: === ?How to Evaluate Open-ended Learning Agents? ? == Dialog initiated by Cl?ment Moulin-Frier == Topic: Then, a new dialog initiation is proposed by Cle?ment Moulin-Frier on a fundamental question for the future of AI: How to evaluate open-ended learning agents? While impressive progress was made recently in reinforcement learning, as shown by performance in benchmarks with a set of pre-defined external objectives, a major challenge is now to build autonomous agents that can progressively discover and learn open repertoires of skills in open worlds. Several steps in this direction have been made in the last decade, such as algorithms enabling agents to imagine their own goals and self-organize their learning curriculum (initially in the CDS community, and recently extended in the machine learning community). Another related line of work is open-ended evolution in multi-agent systems with co-evolution. However, a key challenge is how to measure progress in this area, as traditional RL benchmarks were not constructed to address open-ended learning. I invite all readers interested to participate to this dialog to send me their response by June 30th, 2020. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer at inria.fr ). Let us remind you that all issues of the newsletter are all open-access and available at: https://goo.gl/ZjjZNz I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria, Univ. Bordeaux and Ensta ParisTech, France http://www.pyoudeyer.com Twitter: https://twitter.com/pyoudeyer and Fabien Benureau, Editorial Assistant Cognitive NeuroRobotics Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa Japan http://fabien.benureau.com Email: fabien.benureau [at] oist [dot] jp -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.davidgriffiths at gmail.com Thu Jan 23 09:22:11 2020 From: j.davidgriffiths at gmail.com (John Griffiths) Date: Thu, 23 Jan 2020 09:22:11 -0500 Subject: Connectionists: PhD and MSc Opportunities in Computational Neuroscience and Neuroimaging at the University of Toronto Message-ID: The Whole Brain Modelling Group (PI Dr. John Griffiths; www.grifflab.com) at the CAMH Krembil Centre for Neuroinformatics ( www.krembilneuroinformatics.ca) and University of Toronto is looking for PhD and MSc students with a strong background in computational neuroscience and/or neuroimaging. The focus of the Group?s work is computational models of large-scale brain activity, with particular emphases on neural dynamics as measured by M/EEG and fMRI, oscillations, brain stimulation (TMS, TDCS), neural plasticity, and macro-connectomics. The student shall conduct research in one or more of these areas. They will have the opportunity to shape the details of the project based on their specific interests, as well as to contribute to other ongoing projects on a range of topics, including: neuroinformatics of whole-brain modelling, mapping and modelling anatomical connectivity and microstructure with DWI in relation to ageing and stroke, and multi-scale modelling of the thalamocortical system in relation to sleep, pharmacological neuromodulation, and neuropsychiatric disease. The successful candidate should have, minimally, an undergraduate degree in neuroscience, engineering, physics, mathematics, psychology, or related area, and a demonstrable track record of research experience and interest in computational neuroscience and/or neuroimaging. Expertise in one or more modern scientific computing programming language (Python, Matlab, Julia, R, C++) is essential. The candidate should also have familiarity with one or both of: i) neuroimaging data analysis (s/d/fMRI and/or M/EEG), and ii) computational modelling using numerical simulations (particularly modelling of neural population activity with mean-field/neural mass/neural field techniques, either with custom implementations or with tools such as The Virtual Brain Platform or Dynamic Causal Modelling). Full details of the position and application instructions can be found at www.grifflab.com/positions/ For informal inquiries, please email Dr. John Griffiths at john.griffiths at camh.ca with the title ?PhD in Whole Brain Modelling? in the subject line ( Note: students interested in a September 2020 start at the University of Toronto should get in touch immediately to leave time for approaching application deadlines ) -- Dr. John D. Griffiths Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto Assistant Professor @ Department of Psychiatry, University of Toronto www.grifflab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From hal3 at umd.edu Thu Jan 23 10:00:23 2020 From: hal3 at umd.edu (Hal Daume) Date: Thu, 23 Jan 2020 10:00:23 -0500 Subject: Connectionists: ICML 2020 Call for Workshops, Vienna Austria, 17-18 July; deadline 14 Feb Message-ID: ICML 2020 Call for Post-Conference Workshops Fri July 17th and Sat July 18th, Messe Wien Exhibition & Congress , Vienna Austria Following the ICML 2020 main conference , workshops will be held on Fri July 17th and Sat July 18th. We invite researchers interested in chairing one of these workshops to submit proposals. Workshop organizers have several responsibilities, including coordinating workshop participation and content, publicizing and providing the program in a timely manner and moderating the program throughout the workshop. ICML also solicits proposals for affinity workshops. The format and aims of these workshops should be described by the workshop organisers, following for instance the template set out by similar workshops that took place at NeurIPS in 2019 (WiML, Black in AI, LatinX in AI, Queer in AI). Affinity workshop proposals should be emailed directly to workshop-chairs at icml.cc with the subject line "Affinity workshop: [name of workshop]." The deadline for affinity workshop proposals is Feb 14, 2020 AOE. Decisions on acceptance for affinity workshops will be made in a committee appointed by the ICML board (https://icml.cc/Conferences/2019/Board). Workshops The goal of the workshops is to provide an informal forum for researchers to discuss emerging research questions and challenges. Workshops will last for one day, with morning and afternoon sessions and free time between the sessions for individual exchange. To encourage workshop variety, all workshops will be one-day workshops. The workshops can be on any subject relevant to an appreciable fraction of the ICML community. Schedules should encourage lively debates, and topics should lean more towards exploring new ideas, open problems, and interdisciplinary areas, compared with the main conference. Workshops should encourage contributed content and reserve a significant portion of time for open discussion/panel discussion and posters. A diverse group of speakers is more likely to bring diverse and surprising viewpoints on a topic. As a result, we encourage workshop organizers to be cognizant of designing panels and speaker lists that are inclusive. Below, we include the criteria by which workshop submissions will be evaluated: 1. Fit for ICML (connections to rest of program and past workshops) 2. Potential impact (promising topic) 3. Novelty and originality (emerging topic) 4. Quality of the abstract & clarity of purpose 5. Confirmed invited speakers with sufficient coverage of the topic 6. Organizers' relevant expertise (please avoid excessive self-promotion) 7. Organizers & speakers diversity 8. Room for contributed work (posters and contributed talks) 9. Open discussion/panel Submission Instructions Workshops submissions will be made through easychair. Please follow the URL below and check the required format for the application well before the proposal deadline. You may submit and update your application online right up until this deadline. Important dates for workshop submissions: - Workshop Application Deadline: Feb 14, 2020 AOE - Workshop Notification: March 7, 2020, 11:59 p.m. pacific * AOE = Anywhere On Earth Interested parties must submit a proposal by Feb 14, 2020 AOE. Proposals should be submitted electronically at the following URL: (please use the same email address at easy chair and at ICML.cc) https://easychair.org/conferences/?conf=icml2020workshops ICML does not provide travel funding for workshop speakers. In the past, some workshops have sought and received funding from external sources to bring in outside speakers. The organizers of each accepted workshop can name four individuals per day of the workshop to receive complimentary workshop registrations. In the event the conference sells out, each workshop will be given a number of guaranteed registrations for the workshop contributors, so please let us know in the application how many registrations you anticipate you will need. Proposals should be two pages long in single column A4 or letter format, with font size 11 or greater, excluding organiser contact details/CVs and bibliographic references. Submission format Proposals should clearly specify the following: - Workshop title - A brief description of the topics to be covered, and an explanation as to why the workshop will appeal to ICML audiences - A short description and rough timetable of the planned activities (talks, posters, panels) - List of invited speakers, specifying who is confirmed and who is unconfirmed. - A description of the history of the workshop (if it previously took place then when/where) - Similar past and current events at ICML and NeurIPS in the last 1-2 years, even if not organised by the present workshop organisers. New workshops are welcome to build on prior workshops, if a good case is made; completely original workshops are also welcome. - A list of organizers with email addresses, web page URLs, pointers to Google Scholar or other similar citation service pages, and a one-paragraph bio for each organizer, describing research expertise, and previous experience organizing scientific meetings. ICML 2020 Workshop Chairs workshop-chairs at icml.cc Emtiyaz Khan (RIKEN) Po-Ling Loh (University of Wisconsin) -------------- next part -------------- An HTML attachment was scrubbed... URL: From alamer_2005 at yahoo.com Thu Jan 23 11:32:38 2020 From: alamer_2005 at yahoo.com (Ali Ismail Awad) Date: Thu, 23 Jan 2020 16:32:38 +0000 (UTC) Subject: Connectionists: Post-doctoral Scholarship in Secure 5G-oriented eHealth References: <932919585.300406.1579797158099.ref@mail.yahoo.com> Message-ID: <932919585.300406.1579797158099@mail.yahoo.com> Dear Colleagues,? We are offering a Post-doctoral Scholarship in Secure 5G-oriented eHealth.?More information can be found in this link:?Scholarships for Post docs - Lule? University of Technology | | | | | | | | | | | Scholarships for Post docs - Lule? University of Technology | | | Best regards,Ali.? -------------- next part -------------- An HTML attachment was scrubbed... URL: From ajyu at ucsd.edu Thu Jan 23 13:39:00 2020 From: ajyu at ucsd.edu (Angela Yu) Date: Thu, 23 Jan 2020 10:39:00 -0800 Subject: Connectionists: Postdoc Position in Computational Cognitive Neuroscience (website URL corrected) Message-ID: Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Prof. Angela Yu, at University of California, San Diego. Initial appointment is for one year, renewable for up to 2-3 years. Dr. Yu?s lab applies modern machine learning and statistical tools to extract computational principles that underlie cognitive processes that enable intelligent behavior, in particular how humans and other intelligent agents perform inference, learning, decision-making, and social interactions under conditions of uncertainty and non-stationarity. Current interests include perception, face processing, active sensing, judgement and decision making, and social cognition. Applicants should be committed to applying rigorous mathematical tools to model cognitive functions and/or their neural underpinnings. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other neuroimaging/neurophysiology laboratories is desirable. Dr. Yu's lab is situated within the Cognitive Science department, and also affiliated with the Hal?c?o?lu Data Science Institute, the Computer Science Department, the Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute. Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (ajyu at ucsd.edu) with the subject ?Postdoc Application?. Two or more letters of references should be sent directly by the recommenders to ajyu at ucsd.edu. More information about Dr. Yu?s group can be found at http://www.cogsci.ucsd.edu/~ajyu . ---------------------------------------------- Angela Yu Associate Professor Cognitive Science, UCSD 858-822-3317 http://www.cogsci.ucsd.edu/~ajyu https://ucsd.zoom.us/my/angelajyu ---------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From scik at zhaw.ch Thu Jan 23 11:01:17 2020 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Thu, 23 Jan 2020 16:01:17 +0000 Subject: Connectionists: Call for papers: ANNPR 2020 (9th IAPR TC3 Workshop on artificial NN's in Pattern Recognition), Sept. 2nd-4th, 2020 in Winterthur, Switzerland Message-ID: Dear colleagues We are excited to announce ANNPR 2020, the 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, which will be held from September 2nd-4th, 2020, at Zurich University of Applied Sciences ZHAW in Winterthur, Switzerland. The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas. ANNPR is the biannual workshop organized by the Technical Committe 3 (IAPR TC3) on Neural Networks & Computational Intelligence of the International Association for Pattern Recognition (IAPR). Among the previous editions of the workshop were ANNPR 2018 (Siena, Italy), ANNPR 2016 (Ulm, Germany), ANNPR 2014 (Montreal, Canada), ANNPR 2012 (Trento, Italy), ANNPR 2010 (Cairo, Egypt), ANNPR 2008 (Paris, France) and ANNPR 2006 (Ulm, Germany). Program The workshop will consist of keynote talks, several sessions for presentations of accepted papers, and a poster session. Keynote speakers are J?rgen Schmidhuber (tentative, The Swiss AI Lab IDSIA, Lugano, Switzerland), Naftali Tishby (Hebrew University of Jerusalem, Israel) and Bernd Feisleben (University of Marburg, Germany). In addition, there will be a dedicated industry session featuring a sponsored keynote, applied research presentations and industry exhibits / booths / demos, which will provide networking opportunities. The social program consists of a welcome reception, an excursion and a conference dinner. Topics ANNPR 2020 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues: ? Supervised, semi-supervised, unsupervised and reinforcement learning ? Deep learning & deep reinforcement learning ? Feed-forward, recurrent, and convolutional neural networks ? Generative models ? Interpretability & explainability of neural networks ? Robustness & generalization of neural networks ? Meta-learning, Auto-ML Applications to Pattern Recognition: ? Image classification and segmentation ? Object detection ? Document analysis, e.g. handwriting recognition ? Sensor-fusion and multi-modal processing ? Biometrics, including speech and speaker recognition and segmentation ? Data, text, and web mining ? Bioinformatics and medical applications ? Industrial applications, e.g. quality control and predictive maintenance Paper Submission (Deadline: May 1st, 2020) Papers are invited to be submitted via EasyChair. There will be a peer review process before acceptance. The page limit is 12 pages. For instructions, see https://annpr2020.ch/cfp/. Accepted papers will be published as a special volume of the Springer Lecture Notes in Artificial Intelligence (LNAI) series. For previous editions, see https://link.springer.com/conference/annpr. Organization The workshop is organized by the Institute of Applied Information Technology (InIT) at the ZHAW School of Engineering. The program committee is listed at https://annpr2020.ch/organisation/ Chairs: Dr. Frank-Peter Schilling (chair), Prof. Dr. Thilo Stadelmann (co-chair) Venue ZHAW is one of the leading universities of applied sciences in Switzerland, with around 13 000 students and host to one of Europe?s first and largest dedicated research centers for Data Science. ZHAW?s School of Engineering is one of the leading Engineering Faculties in Switzerland. Our 13 institutes and centres guarantee superior-quality education, research and development with an emphasis on the areas of energy, mobility, information and health. Winterthur is the sixth-largest city of Switzerland with around 110 000 inhabitants. It is located in eastern Switzerland, approximately 20 km from Zurich. The Zurich region is the hub of the digital economy in Switzerland, hosting companies like Google, NVIDIA, IBM and Facebook, which have a high natural affinity to neural networks and pattern recognition. It is also host to world famous universities such as ETH Zurich and University of Zurich UZH, as well as to several universities of applied sciences including the ZHAW. The Swiss AI Institute IDSIA in Lugano, as well as the Swiss Data Science Center SDSC by ETH Zurich and EPFL Lausanne complete the Artificial Intelligence and Machine Learning landscape in the region. Best regards, Dr. Frank-Peter Schilling (chair) Prof. Dr. Thilo Stadelmann (co-chair) -- Dr. Frank-Peter Schilling ZHAW School of Engineering Institute of Applied Information Technology (InIT) Obere Kirchgasse 2 / TD O3.07 / Postfach / CH-8401 Winterthur scik at zhaw.ch / +41 58 934-6955 / www.zhaw.ch/en/about-us/person/scik/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jean-marc.odobez at epfl.ch Thu Jan 23 12:15:24 2020 From: jean-marc.odobez at epfl.ch (Jean-Marc Odobez) Date: Thu, 23 Jan 2020 18:15:24 +0100 Subject: Connectionists: [jobs] Idiap/EPFL (Switzerland): 1 Postdoc position in machine learning and computer vision for gaze estimation Message-ID: The Perception and Activity Understanding group seeks one creative and motivated postdoctoral candidate to work on an innovation project funded by theArk foundation. The project objective is to design accurate eye gaze estimation algorithms suitable for interaction with mobile phones and laptops. This will require the investigation and integration of different computer vision and machine learning technologies for both enhancing current systems as well as to develop novel strategies. The project will be conducted in partnership with Eyeware (https://eyeware.tech/ ), therefore there will be a direct impact of your research on the development of commercial applications. The ideal candidate should hold a PhD in computer science or engineering with good analytical skills, a strong publication record and background in several of the following: - computer vision (including 3D geometry) - machine learning - deep learning - optimisation methods - programming experience. The position is to be filled immediately, and is for one year. The annual gross salary is 80,000 CHF. Interested candidates are invited to submit a cover letter, a detailed CV, and the names of three references through the Idiap online recruitment system (link at the bottom left of this page: Apply to this position). Interested candidates can also contact Dr. Jean-Marc Odobez (http://www.idiap.ch/~odobez/ ) Interviews will start upon reception of applications until the position is filled. --- About Idiap: Idiap is an independent, not-for-profit, research institute recognized and funded by the Swiss Federal Government, the State of Valais, and the City of Martigny. Idiap offers competitive salaries and conditions at all levels in a young, high-quality, dynamic, and multicultural environment. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative. The Institute seeks to maintain a principle of open competition (on the basis of merit) to appoint the best candidate, provides equal opportunity for all candidates, and equally encourage both genders to apply. Idiap is located in the town of Martigny in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Although Idiap is located in the French part of Switzerland, English is the official working language. Free French lessons are also provided on a complimentary basis. For frequently asked questions (FAQs) about living in Switzerland, please go to http://www.idiap.ch/en/faq -- Jean-Marc Odobez, IDIAP & EPFL Senior Researcher (EPFL MER) Perception and Activity Understanding group Tel: +41 (0)27 721 77 26 Web: http://people.epfl.ch/jean-marc.odobez http://www.idiap.ch/~odobez -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Thu Jan 23 16:36:21 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Thu, 23 Jan 2020 23:36:21 +0200 Subject: Connectionists: Call-for-Participation: ImageCLEF Detection and Recognition of Hand Drawn Website UIs Task Message-ID: [Apologies for multiple postings] ImageCLEFdrawnUI https://www.imageclef.org/2020/drawnui *** CALL FOR PARTICIPATION *** Building websites requires a very specific set of skills. Currently, the two main ways to achieve this is either by using a visual website builder or by programming. Both approaches have a steep learning curve. Enabling people to create websites by drawing them on a whiteboard or on a piece of paper would make the webpage building process more accessible. A first step in capturing the intent expressed by a user through a wireframe is to correctly detect a set of atomic user interface elements (UI) in their drawings. The bounding boxes and labels resulted from this detection step can then be used to accurately generate a website layout using various heuristics. In this context, the detection and recognition of hand drawn website UIs task addresses the problem of automatically recognizing the hand drawn objects representing website UIs, which are further used to be translated automatically into website code. *** TASK *** Given a set of images of hand drawn UIs, participants are required to develop machine learning techniques that are able to predict the exact position and type of UI elements. *** DATA SET *** The provided data set consists of 3,000 hand drawn images inspired from mobile application screenshots and actual web pages containing 1,000 different templates. Each image comes with the manual labeling of the positions of the bounding boxes corresponding to each UI element and its type. To avoid any ambiguity, a predefined shape dictionary with 21 classes is used, e.g., paragraph, label, header. The development set contains 2,000 images while the test set contains 1,000 images. *** METRICS *** The performance of the algorithms will be evaluated using the standard mean Average Precision over IoU .5, commonly used in object detection. *** IMPORTANT DATES *** - Task registration opens: December 20, 2019 - Development data release: January 13, 2020 - Test data release: March 16, 2020 - Run submission: May 11, 2020 - Working notes submission: May 25, 2020 - CLEF 2020 conference: September 22-25, Thessaloniki, Greece *** REGISTER *** https://www.imageclef.org/2020#registration *** OVERALL COORDINATION *** Raul Berari, teleportHQ, Cluj Napoca, Romania Paul Brie, teleportHQ, Cluj Napoca, Romania Dimitri Fichou, teleportHQ, Cluj Napoca, Romania Mihai Dogariu, University Politehnica of Bucharest, Romania Liviu Daniel Stefan, University Politehnica of Bucharest, Romania Mihai Gabriel Constantin, University Politehnica of Bucharest, Romania Bogdan Ionescu, University Politehnica of Bucharest, Romania From freewill at brain.chapman.edu Thu Jan 23 17:26:38 2020 From: freewill at brain.chapman.edu (Free Will) Date: Thu, 23 Jan 2020 22:26:38 +0000 Subject: Connectionists: "Neuroscience and Philosophy of Free Will" - Worldwide Student Competition - Deadline Feb 29th, 2020 Message-ID: We invite applications for one or more fellowships on neuroscience and philosophy of free will and moral responsibility, including how the brain enables conscious, causal control of decisions and actions. Support can be requested for part or full time for 6-12 months and could potentially be extended to a second year. Predoctoral students can request up to $25,000 per year in funding, and postdocs can request up to $50,000 per year. These positions are funded by the John Templeton Foundation and the Fetzer Institute. For more information on the project and this student competition, see https://neurophil-freewill.org/student-competition/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.rovetta at unige.it Fri Jan 24 09:46:41 2020 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Fri, 24 Jan 2020 15:46:41 +0100 Subject: Connectionists: Deadline extension 2020-02-08 - Special Session IEEE EAIS 2020: Advances in segmentation of data streams Message-ID: <6bb09cd8-e142-305e-4f40-9e6ff6961b90@unige.it> Third announcement -- FURTHER DEADLINE EXTENSION TO FEBRUARY 8, 2020 **** Advances in segmentation of data streams **** SPECIAL SESSION @ IEEE EAIS 2020 https://sites.google.com/view/eais2020/conference/special-sessions/advances-in-segmentation-of-data-streams http://eais2020.di.uniba.it/ Due to the growing presence of ubiquitous data sources and the requirement for shorter and shorter response times, data streaming is steadily becoming the key technology to modern information processing, and this trend is bringing up new challenges. As data analysis moves from simple organisation and classification to content understanding, for instance, the meaning of segmentation becomes more and more complex to define. When does a concept start within a text, and where does it stop? Which objects are interesting in a video, and where are they located? When does a machine start to show a degradation process that will lead to a need for maintenance? Where does a spoken text start to show a certain mood? This special session aims to explore current topics in data stream understanding, with emphasis on segmentation, the process of identifying meaningful entities within a stream of data. This is often an ill-defined goal, where object boundaries are uncertain and object definition is unclear, subjective, or not given in advance. Notwithstanding this, the task emerges everywhere and can be instantiated in a vast number of vertical application areas, including just as an indication: - Natural language processing/understanding - The Internet of Things (IoT) and sensor networks - Industrial process control - Gesture recognition in artificial vision - Speech analysis and synthesis - Road traffic monitoring and control (Smart City) - Predictive maintenance (Industry 4.0) - Health monitoring - Web traffic analysis and user profiling - Extreme climatic event forecasting - Sentiment analysis in marketing - Automatic video scene identification Contributions on any of these subject areas, as well as other, are sought for this special session, as long as they focus on the intended theme. Diversity is encouraged, as it promotes cross-fertilisation. Special session organizers: Stefano Rovetta University of Genova Zied Mnasri zied.mnasri at enit.utm.tn University of Tunis El Manar, Tunis, Tunisia and University of Genova, Italy From jonizhong at msn.com Fri Jan 24 11:35:20 2020 From: jonizhong at msn.com (Joni Zhong) Date: Fri, 24 Jan 2020 16:35:20 +0000 Subject: Connectionists: [Jobs] PhD studentships in Assistive Robotics and Machine Learning Message-ID: Dear Colleagues, Sorry for cross-posting. Please feel free to distribute it if you know potential candidates. The Nottingham Trent University (UK) is now opening 50 fully-funded PhD studentships [https://tinyurl.com/tjdvwjv], with the deadline of Feb 14th. The studentship will cover: 1. Tuition fees (Home/EU or International depending on your fee status) for Years 1-3 of your MPhil/PhD study at NTU 2. A stipend to be paid in monthly arrears in Years 1-3 of your MPhil/PhD study (?15,009 as of 2019). The University's CIA group [1] is looking for strong candidates with interests in machine learning, assistive robotics, and assistive technologies. You are welcome to contact Dr. Joni Zhong (joni.zhong at ntu.ac.uk) for an informal inquiry and to prepare an application proposal if you have interests. Regards, Joni [1] https://www.ntu.ac.uk/research/groups-and-centres/groups/computational-intelligence-applications-research-group Computational Intelligence and Applications Research Group (CIA) | Nottingham Trent University This research group brings together academics researching in the areas of computational intelligence applications. www.ntu.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Fri Jan 24 14:16:19 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Fri, 24 Jan 2020 20:16:19 +0100 Subject: Connectionists: [Deadline Approaching] FMEC 2020 (Final CFP): The Fifth International Conference on Fog and Mobile Edge Computing, Paris, France. April 20-23, 2020 Message-ID: <9ac0feb9-514e-d7d6-f881-4777e863dfb3@ai.univ-paris8.fr> [Apologies if you got multiple copies of this invitation] *_ _* *The Fifth International Conference on Fog and Mobile Edge Computing (FMEC 2020)* http://emergingtechnet.org/FMEC2020/index.php Paris, France. April 20-23, 2020 Technically Co-Sponsored by IEEE France Section *_ _* *_FMEC 2020 CFP:_* Cloud computing provides large range of services and virtually unlimited available resources for users. New applications, such as virtual reality and smart building control, have emerged due to the large number of resources and services brought by cloud computing. However, the delay-sensitive applications face the problem of large latency, especially when several smart devices and objects are getting involved in human?s life such as the case of smart cities or Internet of Things. Therefore, cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. To solve this problem, researchers have introduced a trusted and dependable solution through the Fog and the Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitates the leveraging of available services and resources in the edge networks. By this, we are moving from the core (cloud data centers) to the edge of the network closer to the users. FMEC dependability is based on providing user centric service. The purpose of Fog and the Mobile Edge Computing is to run the heavy real-time applications at the network edge directly using the billions of connected mobile devices. Several features enable the Fog and the Mobile Edge Computing to be a perfect paradigm to the aforementioned purpose, which are the dense geographical deployment of servers, supporting mobility and the closeness to users. As in every new technology, some challenges face the vision of the Fog and the Mobile Edge Computing, which are the administrative policies and security concerns (i.e. secure data storage, secure computation, network security, data privacy, usage privacy, location privacy, etc). FMEC 2020 conference aims to investigate the opportunities and requirements for Mobile Edge Computing dominance. In addition, it seeks for novel contributions that help mitigating Mobile Edge Computing challenges. That is, the objective of FMEC 2020 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Fog and Mobile Edge Computing (FMEC). FMEC is Technically Co-Sponsored by IEEE France Section. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to: * Mobile Cloud Computing Systems. * FMEC Security and Privacy Issues. * FMEC Pricing and billing models. * FMEC support for VANETS and MANETS * Cloudlet based computing * Dew based computing * Lightweight authentication mechanisms in FMEC architecture. * Access Control models in FMEC. * Identification of incentives for FMEC service providers. * The future perspective for FMEC: Challenges and Open Issues. * FMEC Quality of Service (QoS) improvements techniques. * FMEC architecture features and evolution. * FMEC Real-time communication interfaces and protocols. * FMEC Resource scheduling that enhances the reliability and scalability. * FMEC Resources monitoring mechanism and utilization measuring mechanism. * FMEC resources allocation and management. * Real-time load prediction model to optimize the user satisfaction. * FMEC virtualization. * Data storage, processing, and management at FMEC platform. * Cyber hacking, next generation fire wall of FMEC. * Deployment strategies of FMEC Servers * Admission control for FMEC. * Social engineering, insider threats, advance spear phishing. * Incident Handling and Penetration Testing. * Forensics of Virtual and FMEC Environments. * Security protocols in FMEC. * Security and privacy of mobile cloud computing * Security, privacy and reliability issues of MCC and IoT * Security and privacy of IoT * Security and privacy management in MCC * MCC intrusion detection systems * Security of pricing and billing for mobile cloud computing services * Security of mobile, peer-to-peer and pervasive services in clouds * Security of mobile commerce and mobile Internet of Things * Security of mobile social networks * Security and privacy in smartphone devices * Security and privacy in social applications and networks * Security of Mobile, peer-to-peer and pervasive services in clouds * Security of Mobile commerce and mobile internet of things * Security of Operating system and middleware support for mobile computing * Security and privacy in sensor networks * Security and privacy in social applications and networks * Web service security * Security of 3G/4G systems, Wi-MAX, Ad-hoc * Security of Mobile social networks * Near field communication services * Service-oriented architectures, service portability, P2P * Network virtualization and cloud-based radio access networks *_Submissions Guidelines and Proceedings?:_* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FMEC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *_ _* *_Important Dates?:_* Submission Date: *25^th January 2020* (Final and Firm Extension) Notification to Authors: 21^st February 2020 Camera Ready Submission: 10^th March 2020 *_Committee _:* General Chairs: * Imed Saleh, University of Paris 8, France * Hiroyuki Sato, The University of Tokyo, Japan Technical Program Chairs: * Zilong Ye, California State University, Los Angeles, USA * Sandra Sendra, Universidad de Granada, Spain Workshops Chairs: * Chirine Ghedira, University of Lyon, France PhD Forum and Posters Chairs: * Marco Guazzone, University of Piemonte Orientale, Italy * Attila Kertesz, University of Szeged, Hungary Organization Chair: * Yaser Jararweh, Jordan University of Science and Technology, Jordan Publication Chairs: * Mohammad Alsmirat, Jordan University of Science and Technology, Jordan. Publicity Chairs: * Stanley Ewenike, Staffordshire University, UK * Alexander Kern, TU Darmstadt, Germany * Yufei Sun, University Duquesne University, USA * Nabil El Ioini, Free University of Bozen-Bolzano, Italy Journals Special Issues Chair: * Syed Hassan Ahmed, Georgia Southern University, USA. Invited Speakers and Panel Chairs * Giancarlo Fortino, Universit? della Calabria, Italy * Abdelhakim Senhaji Hafid, University of Montreal, Canada. Industry Session Chairs Chairs * Denis Makoshenko, Intel Corporation * Guillaume Ruty, Cisco Systems, Telecom ParisTech, France * Ajay Kattepur, Tata Consultancy Services, India Local Organizing Committee * Imad Saleh, University of Paris 8, France (co-chair) * Larbi Boubchir, University of Paris 8, France (co-chair) * Boubaker Daachi, University of Paris 8, France * Orelie Desfriches Doria, University of Paris 8, France * Doria Samuel Szoniecky, University of Paris 8, France * Laure Leroy, University of Paris 8, France * Youcef Touati, University of Paris 8, France Steering Committee: * Indrakshi Ray, Colorado State University, USA (Chair) * Antonio Brogi, University of Pisa, Italy * Imed Saleh, University of Paris 8, France * Alfredo Grieco, Politecnico di Bari, Italy * Elhadj Benkhelifa, Staffordshire University, UK * Yaser Jararweh, Jordan University of Science and Technology, Jordan * Jaime Lloret Mauri, Universidad Polit?cnica de Valencia, Spain *_ _* *_Contact:_* Please send any inquiry on FMEC 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 giacomo.cabri at unimore.it Fri Jan 24 05:09:33 2020 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Fri, 24 Jan 2020 11:09:33 +0100 Subject: Connectionists: CfP: Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC) at WETICE 2020 Message-ID: <8f25cd90-4362-ca6c-5928-2240f5e86bb9@unimore.it> *18th Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC)* Track?at IEEE WETICE 2020 Bayonne, France, June 10-12, 2020 http://didattica.agentgroup.unimore.it/ACEC2020 Call for Papers *Aims and Scope* Over its 17 years of existence, ACEC has focused on works?that explore?the adaptability, autonomy and intelligence of software agents for the collaboration across the enterprise. In 2020,?organizers would like to continue to explore the research on agent-based computing, but they would also?welcome works that leverage advanced adaptive techniques, non necessarily based on software agents. In addition to the?traditional domain areas, i.e., Computer Supported Collaborative Work, Workflow and Supply Chain Management, Automation in Virtual Enterprises, and Automated Distributed Service Composition, ACEC is?also interested in new adaptive techniques, e.g.,?Cloud Computing, Crowd-Sourcing, and?Social Networking. In addition to traditional papers, the forthcoming 18th episode of ACEC welcomes papers from two focus areas: * Adaptive and Agent-based Services * Adaptive Techniques for Organizational/Enterprise Use of Emerging Web Paradigms (Cloud, Crowd-sourcing, Mobile Apps) Such two themes represent important areas where software agents can leverage their distributed nature,?along with their proactive and autonomous characteristics, to provide solutions to?complex problems, which are difficult to solve?using traditional/existing technologies. *Topics of Interest* Topics of interest include, but are not limited to: * Adaptive and/or agent-mediated workflow, supply chain, and virtual?enterprises * Methodologies, languages and tools to support agent collaboration * Agent architectures and infrastructures for dynamic collaboration * Adaptive and/or Agent-based service architectures and infrastructures * Service Oriented Architectures (SOAs) based on agents * Services for dynamic agent collaboration * Agent-to-Human service interactions * Autonomous, Adaptive and/or Agent-mediated service integration * Organizational and enterprise systems that leverage the Web 2.0 * Adaptive and Agent-mediated cloud environments *Important Dates* * Paper submission: *February 29th, 2020* * Notification: *March 21st, 2020* * Camera ready: *April 4th, 2020 * * Conference: *June?10-12, 2020* *Paper Submission* Papers should contain original contributions (not published or submitted elsewhere) and references to related state-of-the art work. Please submit your papers in PDF or PS format. Papers up to 6 pages (including figures, tables and references) can be submitted. Papers should follow the IEEE format, which is single-spaced, two columns, 10pt Times/Roman font. Papers should include a title, the name and affiliation of each author, an abstract of up to 150 words and no more than eight keywords. All submitted papers will be peer-reviewed by a minimum of three program committee members. The accepted papers will be published in the post-conference proceedings (to be published by the IEEE Computer Society Press). Authors of accepted papers must present their papers at the conference.?At least one author for each accepted paper should register and attend WETICE 2020 to have the paper published in the proceedings. The paper submission procedure is carried out using the EasyChair conference management system: https://easychair.org/conferences/?conf=wetice2020 *Track Chairs* * Stefania Monica, Universit? degli Studi di Parma, Italy * Federico Bergenti, Universit? degli Studi di Parma, Italy * M. Brian Blake, George Washington University, USA * Giacomo Cabri, Universit? degli Studi di Modena e Reggio Emilia, Italy * Usman Wajid, The University of Manchester, UK -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From boubchir at ai.univ-paris8.fr Fri Jan 24 14:15:42 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Fri, 24 Jan 2020 20:15:42 +0100 Subject: Connectionists: [Deadline Approaching] SDS 2020 (Final CFP): The Seventh International Conference on Software Defined Systems, Paris, France. April 20-23, 2020 Message-ID: [Apologies if you got multiple copies of this invitation] *The Seventh International Conference on Software Defined Systems (SDS 2020) * http://emergingtechnet.org/SDS2020/index.php Paris, France. April 20-23, 2020 Technically Co-Sponsored by IEEE France Section *_SDS 2020 CFP:_* Next generation cloud systems will require a paradigm shift in how they are constructed and managed. Conventional control and management platforms are facing considerable challenges regarding flexibility, dependability and security that next generation systems will require. The cloud computing paradigm has gone part of the way towards alleviating some of the problems associated with resource allocation, utilization and managements (e.g., via elasticity). However, many of the elements of a well-designed cloud environment remain ?stiff? and hard to modify and adapt in an integrated fashion. This includes underlying networking topologies, many aspects of the user control over IaaS, PaaS or SaaS layers when such is needed, construction of XaaS services, provenance and meta-data collection, and so on. In many situations the problem may be because service abstraction is inadequate. Software Defined Systems (SDS) are systems that have added software components which help abstract actual IT equipment and other layers. One classical example, of course, are hypervisors. Such separation provides a great opportunity for system administrators to more easily construct and managing their systems through flexible software layers. Software Defined Systems include Software Defined Networking (SDN), Software Defined Storage, Software Defined Servers (Virtualization), Software Defined Datacenters (SDD), Software Defined Security (SDSec), and ultimately Software Defined Clouds (SDCloud) to name a few possibilities. Individual solutions and seamless integration of these abstractions remains in many respects a challenge. After the high success of the previous editions (SDS'2014, SDS'2015, SDS'2016, SDS'2017, SDS'2018, SDS' 2019), The Seventh International conference on Software Defined Systems 2020 (SDS'2020) will continue to be a forum for scientists, researchers, students, and practitioners to present their latest research results, ideas, and developments in the area of software defined systems ? both components and their integration - and by implication advancement of next generation clouds. SDS 2020 aims to investigate the opportunities and in all aspects of Software Defined Systems. In addition, it seeks for novel contributions that help mitigating SDS challenges. That is, the objective of SDS 2020 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Software Defined Systems. SDS is Technically Co-Sponsored by IEEE France Section. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to: * Software Defined Systems support for Cloud Computing . * Software Defined Networking (SDN). * SDN concepts, architecture, and APIs. * Network Virtualization * SDN and OpenFlow protocol * Software Defined Radio * Cognitive Radio Networks . * Access Control models in SDN. * Software Defined Storage. * Storage Automation and Abstraction. * Policy-driven storage provisioning. * Software Defined Servers and Virtualization. * Software Defined Datacenters. * Software Defined Security o Security policies automation. * Self-management systems. * Autonomic Computing techniques. * Real-time load prediction model to optimize the user satisfaction. * Software Defined Systems Scalability. * Software Defined Systems optimization. * Software tools and frameworks to support SDS . * Software Defined Systems challenges and opportunities * Software Defined Systems surveys . * Social engineering, insider threats system for SDS. * Incident Handling and Penetration Testing with SDS. * Software Defined Systems support if IoT. * Security protocols in SDS. * Security and privacy of mobile SDS based cloud computing * Service-oriented architectures, service portability andP2P * Network virtualization and cloud-based radio access networks *_ _* *_Submissions Guidelines and Proceedings?:_* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FMEC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *_ _* *_Important Dates?:_* Submission Date: *25^th January 2020* (Final and Firm Extension) Notification to Authors: 21^st February 2020 Camera Ready Submission: 10^th March 2020 *_ _* *_Committee _:* General Chairs: * Andy Rindos, IBM research, USA * Ahmed Bouridane, Northumbria University, UK Technical Program Chairs: * Larbi Boubchir, University of Paris 8, France * Roberto Beraldi, University of Roma, Italy Workshops Chairs: * Chirine Ghedira, University of Lyon, France * Mohammad Shojafar, Ryerson University, Canada PhD Forum and Posters Chairs: * Marco Guazzone, University of Piemonte Orientale, Italy * Attila Kertesz, University of Szeged, Hungary Organization Chair: * Elhadj Benkhelifa, Staffordshire University, UK Publication Chairs: * Mohammad Alsmirat, Jordan University of Science and Technology, Jordan Publicity Chairs: * Stanley Ewenike, Staffordshire University, UK * Alexander Kern, TU Darmstadt, Germany * Yufei Sun, University Duquesne University, USA * Nabil El Ioini, Free University of Bozen-Bolzano, Italy Journals Special Issues Chairs * Syed Hassan Ahmed, Georgia Southern University, USA. * Ahmed Bouridane, University of Northumbria, UK Industry Session Chairs Chairs * Andy Rindos, IBM research, USA. * Ajay Kattepur, Tata Consultancy Services (TCS), India Local Organizing Committee * Imad Saleh, University of Paris 8, France (co-chair) * Larbi Boubchir, University of Paris 8, France (co-chair) * Boubaker Daachi, University of Paris 8, France * Orelie Desfriches Doria, University of Paris 8, France * Doria Samuel Szoniecky, University of Paris 8, France * Laure Leroy, University of Paris 8, France * Youcef Touati, University of Paris 8, France Steering Committee: * Imad Saleh, University of Paris 8, France (Chair) * Indrakshi Ray, Colorado State University, USA * Antonio Brogi, University of Pisa, Italy * Elhadj Benkhelifa, Staffordshire University, UK * Yaser Jararweh, Jordan University of Science and Technology, Jordan * Jaime Lloret Mauri, Universidad Polit?cnica de Valencia, Spain * Larbi Boubchir, University of Paris 8, France * Nicola Blefari Melazzi,University of Rome ? Tor Vergata, Italy *_ _* *_Contact:_* Please send any inquiry on SDS 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 matej.hoffmann at fel.cvut.cz Sat Jan 25 15:20:44 2020 From: matej.hoffmann at fel.cvut.cz (Matej Hoffmann) Date: Sat, 25 Jan 2020 21:20:44 +0100 Subject: Connectionists: [jobs] several positions in embodied computational models of body representations @CTU Prague Message-ID: *Dear colleagues, * * there are several positions open in the humanoid, cognitive, neuro-, and collaborative robotics group coordinated by Dr. Matej Hoffmann (https://sites.google.com/site/matejhof/) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. The positions include PhD, post-doc, and tenure-track. Group webpage: https://cyber.felk.cvut.cz/research/groups-teams/humanoids/ The topics are in the context of the newly starting 5-year project entitled ?Whole-body awareness for safe and natural interaction: from brains to collaborative robots? for excellence in fundamental research from the Czech Science Foundation (see https://cyber.felk.cvut.cz/news/new-gacr-expro-project for more information) and include: * Employing humanoid robots with artificial skin to construct embodied computational models of body and peripersonal space representations * Neural network models of multisensory integration and peripersonal space * Physical human-robot interaction with special focus on tactile and proximity sensing * Social human-robot interaction focusing on touch and interpersonal distance Open positions: PhD student. The topic will be co-defined with the student depending on his skills and interests. The standard duration of the PhD study is 4 years. The funding corresponds to a gross salary of CZK 40 000 per month (approx. 1600 EUR), plus direct bonuses for scientific achievements such as top-tier publications. Postdoc. The postdoc will independently conduct research and will also be involved in shaping the research of the group and supervising students. The gross salary will be in the range of CZK 50 000-70 000 per month (approx. 2000-2700 EUR) depending on qualification,? plus direct bonuses for scientific achievements such as top-tier publications. Tenure-track. This position is open in the humanoids group or in the broader context of Vision for Robotics and Autonomous Systems group ? (https://cyber.felk.cvut.cz/research/groups-teams/vras/) and the Research Center For Informatics (http://rci.cvut.cz/). Robots and infrastructure The humanoids group has at its disposal several humanoid robots (iCub - procurement being finalized, 2 Naos - 1 with whole-body sensitive skin) and collaborative or lightweight manipulators (KUKA LBR iiwa, UR10e with Airskin, Kinova Gen3). Additional infrastructure includes several robot hands (Barrett Hand BH8-282, QB Soft Hand) and grippers, a 3D Motion Capture System, Impact measuring devices (GTE), and integrated devices for collaborative robots (http://smartrobots.it/).? The group has also access to the facilities of the Research Center for Informatics such as a high-performance computational cluster. International collaborations There is a large group of international experts who have agreed to act as collaborators/advisors on the project. These include experts in - developmental psychology: Dr. Kevin O?Regan (CNRS, Paris), Prof. Jeffrey J. Lockman (Tulane University, New Orleans) - cognitive psychology and neuroscience: Prof. Matthew Longo (Birkbeck University, London), Prof. Tobias Heed (Bielefeld), Prof. Andrea Serino (University of Lausanne), Dr. Jean-Paul Noel (Center for Neural Science at New York University), Drs. M.Gori and Giulia Cappagli (Italian Institute of Technology, Dr. S. Signorini (IRCSS Fondazione Mondino Pavia) - physical human-robot interaction: Prof. Sami Haddadin (TU Munich),? Dr. Arash Ajoudani (Italian Institute of Technology), Dr. Michael Zillich (Blue Danube Robotics ? manufacturer of Airskin) - social human-robot interaction: Dr. Alessandra Sciutti (Italian Institute of Technology), Dr. Hagen Lehmann (University of Macerata) How to apply. The application should include: ** -**Motivation letter (max. 1 page) ** - *CV (including 2 reference persons)* ** -***1 Letter of recommendation (can be from 1 of the reference persons above)*** Please send the applications or inquiries to matej.hoffmann at fel.cvut.cz with (?[PhD / Postdoc / tenure-track] application? in the subject). The positions are open until filled. Best regards, Matej Hoffmann * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague https://sites.google.com/site/matejhof/home +420 224 357 387 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mycolleagues at mailman.ufsc.br Thu Jan 23 11:32:38 2020 From: mycolleagues at mailman.ufsc.br (Ali Ismail Awad via Mycolleagues) Date: Thu, 23 Jan 2020 16:32:38 +0000 (UTC) Subject: Connectionists: [Mycolleagues] Post-doctoral Scholarship in Secure 5G-oriented eHealth References: <932919585.300406.1579797158099.ref@mail.yahoo.com> Message-ID: <932919585.300406.1579797158099@mail.yahoo.com> Dear Colleagues,? We are offering a Post-doctoral Scholarship in Secure 5G-oriented eHealth.?More information can be found in this link:?Scholarships for Post docs - Lule? University of Technology | | | | | | | | | | | Scholarships for Post docs - Lule? University of Technology | | | Best regards,Ali.? -------------- 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 From angelo.ciaramella at uniparthenope.it Sun Jan 26 04:24:01 2020 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Sun, 26 Jan 2020 10:24:01 +0100 Subject: Connectionists: CfP - SS on "Inference systems: Fuzzy and Neuro Fuzzy perspectives" (FUZZ-IEEE @ WCCI2020) Message-ID: <20200126102401.Horde.8qIM0lRm9cz7b4FcWdTMew2@webmail.uniparthenope.it> ... Apologize for multiple posting ... ------------------------------------------------------------------------------- Special Session on "Inference systems: Fuzzy and Neuro Fuzzy perspectives" 2020 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE) @ World Congress on Computational Intelligence July 19-24 2020, Glasgow, UK (https://wcci2020.org) ------------------------------------------------------------------------------- Website of the call for papers https://sites.google.com/view/cisslabssfuzzieee/home Important Dates Paper submission: 30 January 2020 Notification of acceptance: 15 March 2020 Aims and Scope In the field of Artificial Intelligence, an inference engine is a component of decision systems that applies logical rules to the knowledge base to deduce new information. Fuzzy inference systems represent an important part of Soft Computing for implementing fuzzy reasoning and in these last years a great interest has been devoted to adaptive neural-based models, especially with a deep structure. Fuzzy Inference systems have been successfully applied in fields such as automatic control, data classification, risk assessment, recommendation systems, decision analysis, expert systems, cybersecurity, signal processing and computer vision. From recent researches inference systems have been emerging as powerful tools to mine, interpret and infer data and promise to pave the way for ever more techniques to take on this challenge. The aim of the special session is to host recent research advances in the field of inference systems based on Fuzzy and Neural-based Fuzzy models and to highlight research issues and still open questions. Potential topics include Soft Computing methodologies (but are not limited to): -Fuzzy Logic -Type-1 and Type-2 Fuzzy Inference Systems -Approximate Reasoning -Neutrosophic logic -Rough-Sets -Neuro-Fuzzy Systems -Evolving Fuzzy Systems -Granular Computing -Deep Neural Networks when applied to: -automatic control -data classification -risk assessment -recommendation systems -decision analysis -expert systems -signal processing -computer vision -cybersecurity -Medicine -GIS Furthermore, software tools designed for addressing any of the above topics, might be also considered relevant for the special session. Submission - For paper guidelines please visit https://wcci2020.org/submissions/ - For submissions please select the single topic "Inference systems: Fuzzy and Neuro Fuzzy perspectives" from the "Special Sessions" category as the main research topic on https://wcci2020.org/fuzz-sessions/ Organisers - Angelo Ciaramella, Universit? degli Studi di Napoli "Parthenope" - Giovanni Acampora, Universit? degli Studi di Napoli "Federico II" - Le Hoang Son, Vietnam National University, Hanoi - Antonino Staiano, Universit? degli Studi di Napoli "Parthenope" Contact Angelo Ciaramella, angelo.ciaramella at uniparthenope.it --------------------------------------------- - Angelo Ciaramella, Ph.D - Associate Professor in Computer Science - DiST, Dipartimento di Scienze e Tecnologie - Universit? degli Studi di Napoli "Parthenope" - Room 431, Isola C4, Centro Direzionale - I-80143 Napoli, ITALY - Tel.: 0815476674 From angelo.ciaramella at uniparthenope.it Sun Jan 26 04:33:02 2020 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Sun, 26 Jan 2020 10:33:02 +0100 Subject: Connectionists: CfP - SS on "Machine Learning for Extreme Weather Events Forecast" (IJCNN @ WCCI2020) Message-ID: <20200126103302.Horde.B6_X07ey7fttsZIxqFsdCQ4@webmail.uniparthenope.it> ... Apologize for multiple posting ... ------------------------------------------------------------------------------- Special Session on "Machine Learning for Extreme Weather Events Forecast" 2020 International Joint Conference on Neural Networks (IJCNN) @ World Congress on Computational Intelligence July 19-24 2020, Glasgow, UK (https://wcci2020.org) ------------------------------------------------------------------------------- Website of the call for papers http://neptunia.uniparthenope.it/cfp/mlewef Important Dates Paper submission: 30 January 2020 Notification of acceptance: 15 March 2020 Aim and Scope In the next few years, due to global climate changes, extreme weather phenomena are expected to become increasingly frequent even in areas previously characterized by a mild climate as, but not limited to, the Mediterranean area. Extreme weather refers to phenomena potentially casting severe damage, serious social disruption, or loss of human life. These phenomena vary, depending on the latitude, altitude, topography, and atmospheric conditions. Recently, the Mediterranean area is subject to a range of destructive weather events, including middle-latitudes storms, Mediterranean sub-tropical hurricane-like storms ("medicanes"), and small-scale but violent local storms. Machine learning techniques and in particular Deep Learning, have been used to recognize, classify, and trace the trajectories of severe storms in atmospheric model data. Even though predicting large-scale atmosphere disturbances is a common activity in numerical weather prediction, the tasks of recognizing, identifying, and tracing trajectories of such extreme weather events within weather model outputs remains challenging. The aim of the special session is to host the recent research advances in the fields of Severe Weather Events by using Machine Learning techniques. Potential topics include (but not limited to): - Machine Learning - Deep Neural Networks - Fuzzy and Neuro-Fuzzy Systems - Evolutionary approaches - Computational models - High Performance Computing based methodologies applied to: - Events risk assessment - Recognizing, identifying, and tracing storm trajectories - Feature selection from meteorological data - Weather Forecasting Computational Models Submission For paper guidelines please visit https://wcci2020.org/submissions/ For submissions please select the single topic "Machine Learning for Extreme Weather Events Forecast" from the "Special Sessions" category as the main research topic on https://wcci2020.org/ijcnn-sessions/ Organizers Angelo Ciaramella, University of Naples Parthenope, Italy Raffaele Montella, University of Naples Parthenope, Italy Ian Foster, University of Chicago, Argonne National Laboratory, USA Contact Raffaele Montella, raffaele.montella at uniparthenope.it --------------------------------------------- - Angelo Ciaramella, Ph.D - Associate Professor in Computer Science - DiST, Dipartimento di Scienze e Tecnologie - Universit? degli Studi di Napoli "Parthenope" - Room 431, Isola C4, Centro Direzionale - I-80143 Napoli, ITALY - Tel.: 0815476674 From rskhorshidi at gmail.com Mon Jan 27 07:06:43 2020 From: rskhorshidi at gmail.com (Reza Khorshidi) Date: Mon, 27 Jan 2020 12:06:43 +0000 Subject: Connectionists: Oxford Machine Learning Summer School 2020 Message-ID: We are excited to announce that the application for Oxford Machine Learning Summer School 2020 is now open Location: Oxford Sa?d Business School Oxford (UK) Date: August 17-22 2020 Application deadline: April 2020 Website: www.oxfordml.school The OxML.2020 Summer School Oxford Machine Learning Summer School (OxML 2020 ) will be held at Said Business School (SBS), The University of Oxford (17-22 Aug 2020). The school aims to provide the participants with the best-in-class training on a broad range of advanced topics and developments in machine learning (ML) ? including, deep learning (DL). It covers the core ML developments in domains such as Computer Vision and NLP, as well as topics such as Bayesian ML (incl. Gaussian Processes and DBNNs), Causal Inference in ML, Topological approaches in ML, Representation Learning, Transfer Learning, Reinforcement Learning, and Interpretability in ML ? just to name a few ? that the field is showing a growing interest in. There will also be a special focus on medicine (the UN?s sustainable development goal #3) through a range of applied talks at the interface of machine learning and healthcare/biomedical sciences (e.g., medical imaging, genetics, bio(medical) informatics, drug discovery, and learning from multi-modal medical data). The Organisers This school is organised by AI for Global Goals , CIFAR , and Oxford University?s Sa?d Business School and Deep Medicine Program . The Speakers The school?s world-renowned speakers are from Oxford, Cambridge, Stanford, CIFAR, Amazon, DeepMind, Microsoft Research, Prowler, 23andMe, and Arm ? just to name a few. The speakers? bios and more details on their talks will be announced in the coming weeks (you can follow the updates via the school?s website and Twitter handle). Target audience The school aims to accept up to 100 participants (postgraduate students, as well as researchers and engineers in both academia and industry). The school is primarily designed for those with strong technical backgrounds (through studying and/or working in ML, CS, Stats, Engineering, Biomedical informatics, etc.) who are interested in broadening their ML knowledge beyond their current focus area. Application The application deadline is 30 April 2020; those interested can apply through the application page (or via clicking on the application link at the top-right corner of the website). All applicants are subject to a selection process. Note that the application portal may close earlier than the deadline if the number of applications exceeds our capacity to review. There is no application fee. However for the accepted applicants there will be a registration fee (please read the Frequently Asked Questions (FAQ) section for more details). The registration fee will allow access to all lectures, lunch, and coffee/refreshments every day, plus the formal dinners that the school will host at Oxford University colleges. Contacting Us For any queries, you can contact us using this email address: contact at globalgoals.ai Of course, more information (and possible the answers to some of the questions) can be found on the FAQ section of the website. Best, ? Reza Khorshidi, D.Phil. (Oxon) Investigator, Machine Learning and Medicine DeepMedicine Program, Oxford Martin School 34 Broad St, Oxford OX1 3BD -------------- next part -------------- An HTML attachment was scrubbed... URL: From cer54 at cam.ac.uk Mon Jan 27 07:50:50 2020 From: cer54 at cam.ac.uk (Carl Edward Rasmussen) Date: Mon, 27 Jan 2020 12:50:50 +0000 Subject: Connectionists: 2 Cambridge University Lectureships in Machine Learning and Computer Vision Message-ID: We are delighted to announce two lectureships in Machine Learning and Computer Vision at the Engineering Department at the University of Cambridge. The posts are in the Information Engineering Division which includes the Computational and Biological Learning Lab and the Machine Intelligence Lab. For further information about the post, the academic environment and how to apply, see http://www.jobs.cam.ac.uk/job/23622/ Carl -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Jan 27 10:12:19 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 27 Jan 2020 16:12:19 +0100 Subject: Connectionists: [CfP] ECML-PKDD 2020 Combined Call for Research and Applied Data Science Tracks Message-ID: An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Mon Jan 27 11:35:15 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Mon, 27 Jan 2020 17:35:15 +0100 Subject: Connectionists: [CfP] ICLP2020 - The 36th International Conference on Logic Programming Message-ID: ****************************Call for Papers***************************** The 36th International Conference on Logic Programming (ICLP 2020) 18-24 September 2020, Rende, Italy https://iclp2020.unical.it/home ************************************************************************** Since the first conference held in Marseille in 1982, the International Conference on Logic Programming (ICLP 2020) has been the premier international event for presenting research in logic programming. *** Scope *** Contributions are solicited in all areas of logic programming, including but not restricted to: * Foundations: Semantics, Formalisms, Answer-Set Programming, Non-monotonic Reasoning, Knowledge Representation. * Declarative Programming: Inference engines, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Logic-based domain-specific languages, constraint handling rules. * Related Paradigms and Synergies: Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming, Description logics, Neural-Symbolic Machine Learning, Hybrid Deep Learning and Symbolic Reasoning. * Implementation: Concurrency and distribution, Objects, Coordination, Mobility, Virtual machines, Compilation, Higher Order, Type systems, Modules, Constraint handling rules, Meta-programming, Foreign interfaces, User interfaces. * Applications: Databases, Big Data, Data Integration and Federation, Software Engineering, Natural Language Processing, Web and Semantic Web, Agents, Artificial Intelligence, Bioinformatics, Education, Computational life sciences, Education, Cybersecurity, and Robotics. *** Tracks and Special Sessions *** Besides the main track, ICLP 2020 will host additional tracks and special sessions, with dedicated chairs, PC, evaluation criteria, and CfP with related submission details. * Applications Track: This track invites submissions of papers on emerging and deployed applications of LP, describing all aspects of the development, deployment, and evaluation of logic programming systems to solve real-world problems, including interesting case studies and benchmarks, and discussing lessons learned. Papers submitted to this track will be evaluated using different criteria, such as: - Significance of the real-world problem being addressed - Importance and novelty of using logic programming technologies to solve this problem - Evaluation and applicability of the system in real-world - Reusable datasets, case studies and benchmarks * Sister Conferences and Journal Presentation Track: This track provides a forum to discuss important results related to logic programming that appeared recently (from January 2017 onwards) in selective journals and conferences but have not been previously presented at ICLP. * Special Session: Women in Logic Programming: This special session will include invited talks and presentations by women in logic programming. * Research Challenges in Logic Programming Track: This track invites submissions of papers describing research challenges that an individual researcher or a research group is currently attacking. The goal of the track is to promote discussions, exchange of ideas, and possibly stimulate new collaborations. Papers submitted to this track do not go through the usual review and will not be published in the proceedings ? they will be distributed at the conference as a technical report. In addition to the presentations of accepted papers, the technical program will include invited talks, advanced tutorials, the doctoral consortium, and several workshops. *** Submission Details *** All submissions of the main track must be made via the EasyChair conference system: https://easychair.org/conferences/?conf=iclp20200 . Regular papers must be in the condensed TPLP format (template here) and not exceed 14 pages including bibliography. Regular papers may be supplemented with appendices for proofs and details of datasets which do not count towards the page limit and which will not be made available as appendices to the published paper. Three kinds of regular papers will be accepted: * Technical papers for technically sound, innovative ideas that can advance the state of logic programming; * Application papers that impact interesting application domains; * System and tool papers which emphasize novelty, practicality, usability, and availability of the systems and tools described. Application, system, and tool papers need to be clearly marked in their title. All submissions must be written in English and describe original, previously unpublished research, and must not simultaneously be submitted for publication elsewhere. These restrictions do not apply to previously accepted workshop papers with a limited audience and/or without archival proceedings. Papers of the highest quality will be selected to be published in the journal of Theory and Practice of Logic Programming (TPLP), Cambridge University Press (CUP). In order to ensure the quality of the final version, papers may be subject to more than one round of refereeing (within the decision period). The program committee may recommend some regular papers to be published as Technical communications in EPTCS format (http://info.eptcs.org). Technical communications must not exceed 14 pages, including the bibliography. The authors of the technical communications can also elect to convert their submissions into extended abstracts, of 2 or 3 pages, for inclusion in the EPTCS proceedings. This should allow authors to submit a long version elsewhere. All regular papers and technical communications will be presented during the conference. So, at least one author per accepted paper is expected to register and attend the conference. Authors of accepted papers will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. *** Important Dates *** * Abstract registration (regular papers): May 8, 2020 * Paper submission (regular paper): May 15, 2020 * Notification to authors (regular paper): June 19, 2020 * Paper Submission (short papers): June 30, 2020 * Revision submission (TPLP papers): July 6, 2020 * Final notifications (TPLP papers): July 17, 2020 * Camera-ready copy due: July 27, 2020 *** Autumn School on Logic Programming *** A school on logic programming will be held before the conference. More up to date information is available at the school web page ( https://sites.google.com/view/iclp-dc-2020/autumn-school-on-logic-programming ). *** Doctoral Consortium *** The 16th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. Accepted participants will receive partial financial support to attend the event and the main conference. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. The DC will have its own CFP, including the submission details. For information, please visit the DC Web Page ( https://sites.google.com/view/iclp-dc-2020). *** Workshops *** The ICLP 2020 program will include several workshops. They are perhaps the best places for the presentation of preliminary work, underdeveloped novel ideas, and new open problems to an interested audience with opportunities for intensive discussions and project collaborations. *** Tutorials *** The ICLP 2020 program will include several tutorials. They offer the participants, reviews of specific subfields as well as hands-on sessions by leading experts. *** Conference Organization *** General Chairs: * Nicola Leone, University of Calabria, Italy * Sergio Greco, University of Calabria, Italy Program Chairs: * Francesco Ricca, University of Calabria, Italy * Alessandra Russo, Imperial College London -- Laura Pandolfo, Ph.D. Universit? degli Studi di Sassari IDEA lab - http://idea.uniss.it/ email: laura.pandolfo at uniss.it -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Jan 27 11:29:49 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 27 Jan 2020 17:29:49 +0100 Subject: Connectionists: Call for ECML/PKDD workshop/tutorial proposals Message-ID: An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Jan 27 11:23:54 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 27 Jan 2020 17:23:54 +0100 Subject: Connectionists: Calls for ECML/PKDD industrial track contributions Message-ID: An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Mon Jan 27 16:13:41 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Mon, 27 Jan 2020 22:13:41 +0100 Subject: Connectionists: [Deadline Approaching] CFP: IJCNN Special Session on "Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing" In-Reply-To: References: Message-ID: <84d46d91-8f8d-0e13-df70-48036ad32309@ai.univ-paris8.fr> [Apologies if you got multiple copies of this invitation] *IJCNN Special Session on* *Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing* *IEEE International Joint Conference on Neural Networks (IJCNN) * July 19-24, 2020, Glasgow, Scotland (UK) *Scope and Aim* Biomedical signal processing involves the analysis and treatment of the physiological electrical activities measured using sensors placed on a living thing, in order to provide useful information on which decisions can be made. Recently, Artificial Intelligence (AI) and Machine Learning (ML) have received a great attention to solve difficult and complex problems related to biosignals analysis and processing; where the traditional signal processing and conventional machine learning techniques have shown their limitations to solve such problems. Indeed, the recent advances in this area have brought an impressive progress to solve several practical and difficult problems in many fields including medicine, e-health, healthcare, neuroscience, brain-computer interface (BCI), neurofeedback, robotics, robotic exoskeletons and biometrics, etc. In this context, the advanced learning techniques such as deep learning, reinforcement learning, deep reinforcement learning, statistical learning have shown their effectiveness to resolve various problems of detection, classification, clustering, segmentation, control, diagnosis, etc.; and thus becomes useful solutions to be investigated more for other open problems. The aim of this special issue is to bring together researchers and scientists in the fields of biomedical signal processing, AI and ML, to present and discuss the recent advances on learning methods and intelligent approaches for biomedical signal and image processing. *Topics* The main topics that are of interest to this session include, but are not limited to: * AI for biomedical signal processing and analysis * ML for biomedical signal processing and analysis * Advanced ML for biomedical data processing (e.g. deep learning, reinforcement learning, deep reinforcement learning, statistical learning?) * Biomedical data processing in Big Data * Advanced biomedical signal and image processing methods with application in medicine, e-health, healthcare, neuroscience, BCI, neurofeedback, robotics, robotic exoskeletons, biometrics, etc. * Related applications *Important Dates* * Paper Submissions: *January 30, 2020* * Paper Acceptance Notifications: *March 15, 2020* * Camera Ready Submission of Accepted Papers: *April 15, 2020* * Conference: *July 19-24, 2020* *Submission Guidelines* * This special session will be held in 2020 International Joint Conference on Neural Networks-IJCNN (wcci2020.org/ijcnn-sessions/ ), as part of 2020 IEEE World Congress on Computational Intelligence (https://wcci2020.org ) (Glasgow, Scotland, United Kingdom, July 19-24, 2020). * All papers should be prepared according to the IJCNN 2020 policy and should be submitted electronically using the conference website (https://wcci2020.org/). * To submit your paper to this special session, you will choose our special session *?S59. Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing?*on the submission page https://ieee-cis.org/conferences/ijcnn2020/upload.php * All papers accepted and presented at IEEE IJCNN/WCCI 2020 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI. *Journal Special Issue* A selection of accepted papers will be invited for publication in a special issue of a SCOPUS indexed journal (to be announced). *Organizers* *Larbi Boubchir *(Lead Organizer) /Associate Professor, LIASD research Lab., Department of Computer Science, University of Paris 8, France / *Boubaker Daachi *(Co-organizer) /Full Professor, LIASD research Lab., Department of Computer Science, University of Paris 8, France / *Contact and information* Web page?: http://www.ai.univ-paris8.fr/~boubchir/SS/ss-ijcnn2020.html Larbi Boubchir : larbi.boubchir at ai.univ-paris8.fr -- _____________________________________________________ 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 uwe.aickelin at unimelb.edu.au Tue Jan 28 01:59:12 2020 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Tue, 28 Jan 2020 06:59:12 +0000 Subject: Connectionists: Multiple Academic Vacancies at the University of Melbourne Message-ID: <1FED53B6-3FEB-44BA-A1C3-872D63A3A7C3@unimelb.edu.au> Hi, It?s a great time to join one of the world?s leading Schools of Computing and Information Systems: We are hiring across several academic recruitment campaigns at The University of Melbourne: http://jobs.unimelb.edu.au/caw/en/job/901974/lecturersenior-lecturer-in-machine-learning-multiple-positions http://jobs.unimelb.edu.au/caw/en/job/901760/lecturersenior-lecturer-women-in-academia-only http://jobs.unimelb.edu.au/caw/en/job/901494/teaching-fellow-senior-teaching-fellow 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: 143404 bytes Desc: image001.png URL: From donatello.conte at univ-tours.fr Tue Jan 28 07:35:42 2020 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Tue, 28 Jan 2020 13:35:42 +0100 Subject: Connectionists: [Jobs] Permanent Assistant Professor Position at University of Tours Message-ID: <00e601d5d5d7$74c06b30$5e414190$@univ-tours.fr> Dear All, A permanent Assistant Professor Position is available at the University of Tours. Research profile expected is in artificial intelligence and more particularly in the field of applied deep learning mainly (but not exclusively) visual data (videos, images, multimodal data, ...). Research expertises concerns : - the theoretical aspects of current machine learning techniques: advanced deep architectures, deep learning by reinforcement, generative adversarial network; - the theoretical aspects of computer vision; primarily dedicated to : - visual data (images, videos) and/or multimodal data (news, data journalism...) ; - structured data (Graph Convolutional Neural Networks...). Important Remarks: as the teaching activities are in French, the candidate is expected to have a good knowledge of the French language. Deadline: March, the 9th at 4pm (GMT+1). More details at: https://lifat.univ-tours.fr/medias/fichier/27-mcf-0218-iut_1579101508625-pdf Best Regards, Donatello ------------------------------------------------------------------- Donatello Conte Associate Professor Ecole Polytechnique de l'Universit? de Tours Laboratoire d'Informatique Fondamentale et Appliqu?e de Tours (LIFAT) 64, Avenue Jean Portalis 37200 TOURS Tel : +33 (0) 2 47 36 12 69 ------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 58470 bytes Desc: not available URL: From timofte.radu at gmail.com Tue Jan 28 07:25:09 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Tue, 28 Jan 2020 13:25:09 +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 (TBA) 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 timofte.radu at gmail.com Tue Jan 28 07:25:25 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Tue, 28 Jan 2020 13:25:25 +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: Workshop and Challenge on Learned Image Compression 2020 in conjunction with CVPR 2020, June 15, 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 Website: http://www.compression.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From aeck at oberlin.edu Tue Jan 28 10:22:54 2020 From: aeck at oberlin.edu (Adam Eck) Date: Tue, 28 Jan 2020 10:22:54 -0500 Subject: Connectionists: BigSurv20 Big Data Challenge (Submit Your Ideas!) Message-ID: Submit your idea for the BigSurv20 Big Data Challenge! (and don?t forget to prepare your abstract submission) The planning for the Big Data Meets Survey Science (BigSurv20) conference (November 4-6, 2020 in Utrecht, The Netherlands) is in full swing. Today we?d like to bring your attention to the recently launched big data challenge and to the upcoming abstract submission deadline. Big Data Challenge!?Submit your ideas! <> The big news for this week is that we have launched the BigSurv20 big data challenge. (Our live data science event!) The big data challenge will not use existing data. Instead, teams will be given a data-related challenge that requires the need to create and evaluate big data-generating smart systems. The submissions will consist of two phases: (1) submission of big data challenge ideas (now open!) and (2) registration of big data challenge participants (opens in May). Please consider submitting a big data challenge at https://www.bigsurv20.org/bigdata . If you have any questions about the big data challenge, please contact us atbigdatachallenge at bigsurv20.org . The abstract submission deadline is just around the corner! A friendly reminder that the call for abstracts and session proposals closes on February 13, 2020. To submit your abstract for a paper presentation, poster presentation, or software demo, please visit the BigSurv20 webpage at https://www.bigsurv20.org/abstracts . If you want to stay informed regarding BigSurv20, visit our webpage , check out our Twitter feed , peruse our January eNewsletter , or subscribe to our future eNewsletters . If you have any questions, please email us atinfo at bigsurv20.org . -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Tue Jan 28 14:28:05 2020 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Tue, 28 Jan 2020 19:28:05 +0000 Subject: Connectionists: CFP - 10th IEEE International Conference on Development and Learning (ICDL), Valparaiso Chile Message-ID: <5F612914-BC4E-4788-9F7E-C22676B07BCA@manchester.ac.uk> CALL FOR PAPERS: 10th IEEE International Conference on Development and Learning (ICDL) (This is the follow-up of the previous ICDL-EpiRob conference series) 7th-10th September 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Submission deadline: 15th March 2020 Author notification: 15th May 2020 Camera ready due: 1st July 2020 Conference: 7th-10th September 2020 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicol?s Navarro-Guerrero, and Mar?a-Jos? Escobar Bridge Chairs: Minoru Asada, Fr?d?ric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Crist?bal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee, -------------- next part -------------- An HTML attachment was scrubbed... URL: From aeck at oberlin.edu Tue Jan 28 10:19:49 2020 From: aeck at oberlin.edu (Adam Eck) Date: Tue, 28 Jan 2020 10:19:49 -0500 Subject: Connectionists: BigSurv20 Call for Abstracts Message-ID: <0799EAB5-DB1A-45FC-9C38-F50D82E70349@oberlin.edu> Computer Scientists, Data Scientists, and Social and Survey Scientists! Following a very successful conference in Barcelona, Spain, in 2018, BigSurv returns in Utrecht, The Netherlands in 2020. The second international conference on Big Data Meets Survey Science (BigSurv20) is currently accepting abstracts and session proposals on the theme, ?Continuing to Explore New Statistical Frontiers at the Intersection of Big Data and Survey Science.? The call for abstracts and session proposals closes on February 13, 2020. BigSurv20 Overview: BigSurv20 will be held November 4-6, 2020, at Utrecht University, in Utrecht, The Netherlands. The conference offers an opportunity to address the ongoing paradigm shift in how researchers produce, analyze, and use statistics. The event is intended to foster communication, collaboration, and understanding between two groups: (1) computer and data scientists focusing on Big Data sources and analysis techniques, and (2) methodologists and social science researchers working with traditional sources of data collection and statistical analyses. By uniting efforts, we can identify and overcome academic divides and make unified ?Big Survey Data? population inference a reality. Utrecht is located a convenient 25-minute train ride from Amsterdam airport, and has excellent train connections to the rest of Europe. Abstract Information: To be considered for the conference, presentations and papers should be broad and forward-looking; they may be original research or syntheses of the state of the art. The conference is organized along 12 presentation tracks and includes three presentation formats: Papers, Posters, and Software demos. The abstract submission form asks for author contact information, presentation format, presentation track, and an abstract of no more than 500 words. Additional information on the presentation formats and tracks can be found on the BigSurv20 website at https://www.bigsurv20.org/abstracts . Session Proposal Information: In addition to individual abstract submissions, we encourage session proposal submissions. Each session should consist of 4 to 5 papers. When submitting your session, you will need to provide a brief session description (150 words or fewer) and submit individual abstracts for each session paper. Additional information on the session proposals can be found on the BigSurv20 website at https://www.bigsurv20.org/abstracts . Publication Outlets: To promote the research presented at BigSurv20 while accommodating differences in publication objectives and cultures across disciplines, papers will be eligible for consideration in one of two selected publication outlets according to the conference?s two publication tracks: computer/data science and social science. Additional information on the publication outlets will be released in the coming months. Student Paper Award and Early Career Scholar Travel Award: The BigSurv20 Scientific Committee is interested in supporting conference attendance by undergraduate students, graduate students, and early career scholars. BigSurv20 award opportunities include two student paper awards (students or recent 2019/2020 graduates) and early career scholar travel awards (graduate students or 2015-2020 graduates). The student paper awards include a monetary award and a conference travel stipend. The early career scholar travel awards include a travel stipend; students and early career scholars from underrepresented regions are encouraged to apply to this award. Additional information on the award application process will be released in the coming weeks. Big Data Challenge: This year we are partnering with Statistics Netherlands. The 2020 edition of our Big Data Challenge will ask conference attendees to submit challenge proposals beforehand from which a subset will be selected by the scientific committee. Curious? We?ll soon be sharing more information on our website and via email. BigSurv18 Reflections: If you are not familiar with the BigSurv conference and are interested in learning more, the full program with presentations from BigSurv18 is available on the BigSurv18 website . Also, we encourage you to review the summaries of BigSurv18 in Survey Research Methods and the Newsletter of the International Association of Survey Statisticians . Questions: Any questions about BigSurv20 abstract and session proposal submissions can be directed to Antje Kirchner (akirchner at rti.org ) or Peter Lugtig (p.lugtig at uu.nl ). If you have any other BigSurv20 questions, please email us at info at bigsurv20.org . We look forward to your submission, Antje Kirchner and Peter Lugtig On behalf of the BigSurv20 Scientific Committee (Amelia Burke-Garcia, Trent Buskirk, Ana Luc?a C?rdova Cazar, Piet J.H. Daas, John Finamore, Craig Hill, Don Jang, Lilli Japec, Stas Kolenikov, Daniel Oberski, Barry Schouten, Nan Zhang) -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Tue Jan 28 19:22:30 2020 From: nsmattei at gmail.com (Nicholas Mattei) Date: Tue, 28 Jan 2020 18:22:30 -0600 Subject: Connectionists: 2nd Call for Papers: the 2nd Games, Agents and Incentives Workshop (GAIW)@AAMAS 2020 Message-ID: [Apologies for multiple postings!] Date: 9-13th May 2020, Auckland, New Zealand Webpage: http://www.agent-games-2020.preflib.org/ We invite submissions to the second iteration of the Games, Agents and Incentives Workshop, co-located with AAMAS 2020. PAPER SUBMISSION Authors should submit full papers electronically in PDF format at https://easychair.org/conferences/?conf=gaiw2020 Formatting Guidelines: Please format papers according to the AAMAS 2020 format (author kit). Optionally, one may submit in LNCS format as well (LaTeX template). Paper Length: Papers can be at most 8 pages long in AAMAS format, or 12 pages long in LNCS format. Additional pages for may be used for references. Supplemental material can be appended at the end of the paper. However, reviewers are instructed to make their evaluations based on the main submission, and are not obligated to consult the supplemental material. Multiple Submissions: To widen participation and encourage discussion, there will be no formal publication of workshop proceedings. We will, however, post the accepted papers online to the benefit of the participants to the workshop. Therefore, submission of preliminary work and papers to be submitted or in preparation for submission to other major venues in the field are encouraged. Past Submissions: In order to strike a balance between new work and work that may have been presented but not widely seen we ask that if authors want to submit published work they do so non-anonymously and clearly indicate when and where the work was published. We will only accept work which has been published in the last calendar year (e.g., IJCAI 2019, NeurIPS 2019, AAAI 2020, and any conference held after Feb. 2020). We invite papers on topics of game theory, mechanism design, fair allocation, computational social choice, and their applications to multi-agent systems: Algorithmic mechanism design Empirical studies of games and agents Behavioral Game Theory Bounded rationality Cake cutting problems Cooperative Games Computational social choice Empirical approaches to social choice Auctions Computational advertising Computational aspects of equilibria Coalitions, coordination, collective action, and cooperation Economic aspects of security and privacy Economic aspects of distributed and network computing Equilibrium computation Empirical approaches to electronic markets Fair allocation of indivisible goods Incentives in machine learning Information and attention economics Learning in games (e.g., solution concepts and equilibria) Matching and Matching Markets Market equilibria Negotiation Price differentiation and price dynamics Resource allocation Social networks Trading agent design and analysis Uncertainty in AI and economics Proceedings Publication: to widen participation and encourage discussion, there will be no formal publication of workshop proceedings. We will, however, post the accepted papers online to the benefit of workshop participants. Therefore, submission of preliminary work and papers to be submitted or in preparation for submission to other major venues in the field are encouraged. IMPORTANT DATES Submission Deadline: February 16th, 2020 Acceptance Notification: April 1st, 2020 GAIW workshop: May 9-13, 2020 (exact date TBD) ORGANIZATION Program Chairs Haris Aziz (University of New South Wales) Sofia Ceppi (Prowler.io) John P Dickerson (University of Maryland) Omer Lev (Ben-Gurion University) Nicholas Mattei (Tulane University) Yair Zick (National University of Singapore) -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 402B +1 504 862 8391 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mrolf at brookes.ac.uk Tue Jan 28 12:25:21 2020 From: mrolf at brookes.ac.uk (Matthias Rolf) Date: Tue, 28 Jan 2020 17:25:21 +0000 Subject: Connectionists: PhD Studentship in Robot Multi-Objective Reinforcement Learning Message-ID: <52c63d3b-1ce1-63df-ee12-442cfea14dbe@brookes.ac.uk> Qualification Type: PhD Location: Oxford Funding for: UK Students, EU Students Funding amount: ?16,536 per year, which will increase by inflation each year. Hours: Full Time The School of Engineering, Computing and Mathematics at Oxford Brookes University is seeking an independent and highly motivated candidate from a science or technology discipline. The candidate should have an interest in robot learning and have knowledge of machine learning methods. Brief Project Description This project will develop new methods of multi-objective reinforcement learning specifically tailored to robotic problems such as navigation or manipulation. Current methods of multi-objective and risk averse reinforcement learning will be combined and developed further to give a reinforcement learning robot the capability of striking the right balance between its objectives, and ensuring safe interaction with the physical and social world next to its primary task objective. The project?s main goal is to develop novel algorithms and evaluate them in the context of existing physical robotic platforms currently available to the AI and Robotics group in the school. The essential selection criteria include: - At least an upper second class degree (preferably MSc) in a Science or Technology discipline - Knowledge of, and experience in, machine learning - Keen interest in robotics - Strong mathematical abilities - Capability to work independently and as part of a team - Excellent written and oral communication and organisational skills. Proficiency in written English is required. - A real passion and commitment for research. The successful candidate will: - Develop novel multi-objective reinforcement learning methods tailored to real-world robotic learning problems - Formulate and implement robotic test scenarios for reinforcement learning on existing robotic platforms in the school - Experimentally assess and analyze the performance of the learning algorithms on physical robotic platforms in relation to the state of the art - Participate in research meetings, travel to partner institutions and undertake supplementary research methods training. Application Process: Please request an application pack from the Research Support Office, tdestudentships at brookes.ac.uk, quoting ?PhD Studentship in Robot Multi-Objective Reinforcement Learning?. Fully completed applications must be sent to tdestudentships at brookes.ac.uk, by *17.00 on Friday 7th February 2020*. As part of the application process you will be required to upload a cover letter, a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application. Please be advised that the selection process will involve an interview during February. Information: For all informal requests about the project and this studentship, please contact Dr Matthias Rolf (mrolf at brookes.ac.uk). From julian.zapata at ceipa.edu.co Wed Jan 29 08:39:26 2020 From: julian.zapata at ceipa.edu.co (=?UTF-8?B?SnVsacOhbiBBbmRyw6lzIFphcGF0YSBDb3J0w6lz?=) Date: Wed, 29 Jan 2020 08:39:26 -0500 Subject: Connectionists: WEDMAIT2020 Message-ID: Dear Editors. We introduce the 1TH International Workshop on Enterprise Decision-Making Applying Artificial Intelligence Techniques (WEDMAIT 2020) to be held in Medellin, Colombia in August 20th & 21th, 2020. We consider that the event may be published in your publication lists. The call for papers is attached as .txt and .pdf files, in case you consider to include this in your lists Thank you so much for taking the event into consideration. Best regards, Julian Andres Zapata-Cortes, PhD. CEIPA Business School Calle 77 sur # 40 -165 Vereda San Jos?, interior 115, Sabaneta, Antioquia, Colombia. Phone (+57) 4 305 61 00 Email: julian.zapata at ceipa.edu.co Giner Alor-Hern?ndez, Ph.D. Division of Research and Postgraduate Studies, Instituto Tecnol?gico de Orizaba, Oriente 9 #82 Emiliano Zapata, Orizaba, Veracruz, M?xico. C.P. 94320 Phone. (+52) 272 7257056. Email: galor at ito-depi.edu.mx Cuauhtemoc Sanchez-Ramirez , Ph.D. Division of Research and Postgraduate Studies, Instituto Tecnol?gico de Orizaba, Oriente 9 #82 Emiliano Zapata, Orizaba, Veracruz, M?xico. C.P. 94320 Phone. (+52) 272 7257056. Email: csanchezr at ito-depi.edu.mx -- La Fundaci?n Universitaria CEIPA se encuentra ubicada en la calle 77 sur # 40 -165 Vereda San Jos?, interior 115 en el municipio de Sabaneta, departamento Antioquia. Tel?fono: (04) 3056100. e-mail: revisoriafiscal at ceipa.edu.co . Este mensaje y sus archivos adjuntos van dirigidos exclusivamente a su destinatario pudiendo contener informaci?n confidencial sometida a secreto empresarial. No est? permitida su reproducci?n o distribuci?n sin la autorizaci?n expresa de la la Fundaci?n Universitaria CEIPA. Si usted no es el destinatario final por favor elim?nelo e inf?rmenos por este mismo medio. De acuerdo con la Ley habeas data 1581 de 2012 de Protecci?n de Datos y con el Decreto 1377 de 2013, el titular presta su consentimiento y/o autoriza para que sus datos, facilitados voluntariamente, pasen a formar parte de una base de datos, cuyo responsable es la Fundaci?n Universitaria CEIPA, cuyas finalidades son:?la gesti?n administrativa de la entidad, as? como la gesti?n de car?cter comercial o env?o de comunicaciones comerciales sobre nuestros productos y/o servicios.?Puede usted ejercitar los derechos de acceso, correcci?n, supresi?n, revocaci?n o reclamo por infracci?n sobre sus datos, mediante escrito dirigido a la Fundaci?n Universitaria CEIPA en la direcci?n de correo electr?nico?? revisoriafiscal at ceipa.edu.co indicando en el asunto el derecho que desea ejercitar, o mediante correo ordinario remitido a la Sede Principal, calle 77 sur # 40 -165 Vereda San Jos?, interior 115 en el municipio de Sabaneta. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- 1TH International Workshop on Enterprise Decision-Making Applying Artificial Intelligence Techniques (WEDMAIT 2020) August 20th & 21th, 2020 CEIPA Business School Sabaneta, Antioqu?a, Colombia - Call for Papers - Artificial Intelligence (AI) techniques cover the automation of cognitive and physical tasks. These techniques helps people perform tasks faster and better and make better decisions. It enables the automation of decision making without human intervention. AI techniques can enhance automation thus reducing intensive human labor and tedious tasks. There are many more ways in which Artificial Intelligence is making a difference for enterprises in marketing decision-making, Customer Relationship Management, Recommender Systems, Problem Solving, Opinion Mining, Augmented Analytics, to mention but a few. In marketing, it is necessary to understand customer needs and desires and aligning products to those needs and desires. A handle on changing customer behavior is vital to make the best marketing decisions. AI simulation and modeling techniques provide reliable insight into the consumers? persona. This will help predict consumers? behavior. Through real-time data gathering, trend analysis and forecasting, an AI system can help businesses make insightful marketing decisions. Furthermore, organizations can identify a consumer?s lifetime value with the help of AI?s buyer persona modeling. It can help organizations manage multiple inputs. During a complex decision-making process, AI can efficiently manage and control different factors at the same point in time. It can source and process large amounts of data within minutes while providing valuable business-based insights. While we humans face decision fatigue, algorithms do not have such limitations, which make AI-based decisions faster and better. Also, AI techniques has provided businesses invaluable insight about consumers, which helps them enhance their communication with the consumers. It also helps retailers predict product demand and respond to it quickly. To that end, opinion mining helps businesses understand why people feel the way they feel. Most often a single customer?s concerns might be common among others. When sufficient opinions are gathered and analyzed correctly, the information gleaned will help organizations gauge and predict the concerns of the silent majority. AI has improved this mining process through automation, which is quicker and more reliable, helping organizations in making critical business decisions. In e-commerce, an AI system learns a consumer?s preference based on ?explicit? or ?implicit? feedbacks. This kind of systems are called recommender systems. A recommender system can provide information helping the organization to reduce bounce rate and craft better customer-specific targeted content. Wise business decisions are made when business executives and decision-makers have reliable data and recommendations. AI not only improves the performance of both the individual members of the team but also the competitive edge of the business. The aim of this Workshop is to investigate and disseminate trends among innovative and high-quality research regarding the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models about Enterprise Decision-Making Applying Artificial Intelligence Techniques. The list of topics includes, but is not limited to: * Expert systems for Optimization Process * Application of Knowledge-Based Methods * Software Tools for Knowledge-Based Systems construction * Artificial Intelligence Applying In Supply Chain * Artificial Intelligence and Block Chain Technology in Logistics and Supply Chain Management * Inventory Control, Production Planning and Scheduling Applying Artificial Intelligence * Decision-Support mechanisms * Knowledge Acquisition & Representation * Business Intelligence * Knowledge-Based Implementation techniques and System Architectures * Decision Support Systems * Intelligent Systems for E-commerce and Electronic Business * Internet of Things (Iot) in Logistics and Supply Chain Management * Case-Based Reasoning * Big Data and Data Mining in Logistics and Supply Chain Management * Fintech o Financial Technology * Context-aware/context-sensitive mobile applications * Machine Learning-based Applications * Neural Networks and Deep Learning Applications * Sentiment Analysis and Opinion Mining in social media * Natural Language Processing Techniques * Simulation in Logistics and Supply Chain Important Dates Paper submission deadline: April 15th, 2020 Notification of acceptance: June 1th, 2020 Camera-Ready papers due: June 15th, 2020 Workshop Celebration: August 20th & 21th, 2020 Submission Guidelines Interested parties are invited to submit a technical paper written in English in LNCS Springer style, not exceeding 12 pages. The details of the format can be found at Lecture Notes in Computer Science: Information for LNCS Authors. The submissions must not contain authors' names or affiliations. They must not include either any information that may reveal the authors' identities. Submissions failing to meet these requirements will be rejected without revision. In order to submit a paper electronically, authors must send an e-mail with the subject: "WEDMAIT20 Submission" to Julian Andres Zapata-Cortes (julian.zapata at ceipa.edu.co), Giner Alor-Hernandez (galor at ito-depi.edu.mx) and Cuauht?moc Sanchez-Ramirez (csanchezr at ito-depi.edu.mx) (see below for corresponding email addresses) with the paper attached in PDF format and the body of the message should contain the following data: 1. Paper title. 2. Authors' names and affiliations. 3. Postal address, e-mail address and phone number of the contact authors. 4. The abstract of the paper. 5. Up to five keywords. Please contact any of the workshop organizers in case you have any doubt or problem with electronic submissions. Review process WEDMAIT2020 welcomes the submission of application papers with preference to the topics listed in the call for papers. All submitted papers will undergo a thorough review process; each paper will be refereed by at least three experts in the field based on relevance, originality, significance, quality and clarity. The papers must consist of original, relevant and previously unpublished sound research results related to any of the topics of the Workshop. Publication Accepted papers will be included in WEDMAIT2020 Proceedings. At least one of the authors will be required to register and attend the workshop to present the paper in order to include the paper in the WEDMAIT2020 proceedings. Accepted papers will be published as a book chapter by Springer Verlag in the Studies in Computational Intelligence series (https://www.springer.com/series/7092) ISSN: 1860-949X. The books of this series are submitted to indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. Fees and charges The registration fee amount for authors is USD 250 or its correspondence in Colombian Pesos. This includes one paper only. If one author has more than one accepted paper, the fee must be paid for each of them independently to be published. This amount do not include bank fees or other transaction charges, so the amount to pay may be higher. This fee includes publication of one paper (up to the page limit) in the in WEDMAIT Proceedings, access to a digital copy of the pre-print versions of all accepted papers (unless copyright holders prevent us from distributing such copies) and workshop material. Venue WEDMAIT2020 will be held in CEIPA Business School facilities in Sabaneta, Antioquia, Colombia, as part of the 2th Research and innovation week organized by CEIPA in August 17 to 21 of 2020. Event Webpage https://www.ceipa.edu.co/novedades/wedmait-2020 Organizers Julian Andres Zapata-Cortes, PhD. CEIPA Business School Calle 77 sur # 40 -165 Vereda San Jos?, interior 115, Sabaneta, Antioquia, Colombia. Phone (+57) 4 305 61 00 Email: julian.zapata at ceipa.edu.co Giner Alor-Hern?ndez, Ph.D. Division of Research and Postgraduate Studies, Instituto Tecnol?gico de Orizaba, Oriente 9 #82 Emiliano Zapata, Orizaba, Veracruz, M?xico. C.P. 94320 Phone. (+52) 272 7257056. Email: galor at ito-depi.edu.mx Cuauhtemoc Sanchez-Ramirez , Ph.D. Division of Research and Postgraduate Studies, Instituto Tecnol?gico de Orizaba, Oriente 9 #82 Emiliano Zapata, Orizaba, Veracruz, M?xico. C.P. 94320 Phone. (+52) 272 7257056. Email: csanchezr at ito-depi.edu.mx -------------- next part -------------- A non-text attachment was scrubbed... Name: WEDMAIT_2020.pdf Type: application/pdf Size: 534589 bytes Desc: not available URL: From terry at salk.edu Wed Jan 29 16:08:35 2020 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 29 Jan 2020 13:08:35 -0800 Subject: Connectionists: NEURAL COMPUTATION - February 1, 2020 In-Reply-To: Message-ID: Neural Computation - Volume 32, Number 2 - February 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/2 http://cognet.mit.edu/content/neural-computation ----- Article Face Representations via Tensorfaces of Various Complexities Sidney Lehky, Anh-Huy Phan, Andrzej Cichocki, and Keiji Tanaka Letters Transition Scale-spaces: A Computational Theory for the Discretized Entorhinal Cortex Nicolai Waniek >From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior Ewa Gudowska-Nowak, Maciej A Nowak, Dante Chialvo, Jeremi K Ochab, and Wojciech Mateusz Tarnowskic Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity Jure Demsar, Rob Forsyth Scaled Coupled Norms and Coupled Higher Order Tensor Completion Kishan wimalawarne, Makoto Yamada, and Hiroshi Mamitsuka Improving Generalization via Attribute Selection on Out-of-the-box Data Xiaofeng Xu, Ivor W. Tsang, and Chuancai Liu ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From kamdarmax at gmail.com Wed Jan 29 20:29:50 2020 From: kamdarmax at gmail.com (Maulik Kamdar) Date: Wed, 29 Jan 2020 20:29:50 -0500 Subject: Connectionists: [US2TS 2020] Early Registration Extended for the U.S. Semantic Technologies Symposium 2020 Message-ID: 3rd U.S. Semantic Technologies Symposium 2020 9 ? 11 March 2020, North Carolina State University in Raleigh, North Carolina. US2TS 3rd Call for Early Registration ===================================== ** Registration ===================================== Early Registration deadline: February 6, 2020 Registration link: http://us2ts.org/registration Deadline for Travel Awards: February 4, 2020 Deadline for Discounted Hotel Rates: February 16, 2020 The sessions and lightning talks that will be held during the 3rd U.S. Semantic Technologies Symposium 2020 event, with speakers and tentative details, are available at https://us2ts.org/program. These sessions cover diverse topics on Hybrid AI, Knowledge Graph Trends, Enterprise Semantic Data, and Semantic Web Tools. We are also pleased to announce that Dr. Louiqa Raschid will present one of the keynotes at US2TS 2020. At this stage, travel support awards are available to students (graduate and undergraduate), postdocs, and early-career professionals (within 1 year of receiving their highest degree). Please visit https://us2ts.org/travel-awards for more information. ===================================== ** Calls for Late-Breaking Lightning Talks and Posters ===================================== We also invite submissions for Late-Breaking Lightning Talks to be held during US2TS 2020. The call for lightning talks will remain open until all the available slots are filled. ** More Details: https://us2ts.org/cfc#lightning-talks ** Submission Website: https://easychair.org/conferences/?conf=us2ts2020 (choose ?Lightning Talk? as topic) We also invite participants to present a poster on their research or software applications. Please indicate during registration if you are going to present a poster at the symposium. ===================================== ** About US2TS ===================================== The US2TS Symposium series is an emerging premier forum for fostering community between academic, industry, and government researchers and practitioners in the US that develop or apply semantic technologies. The interest in semantics has been strengthened by the growing dependence on the Web and the continuously increasing importance of large-scale data sharing, integration, and reuse. Participants at the US2TS come from disciplines in computer science and engineering, natural sciences, geoscience, biology, library science, biomedical and health care sciences, social sciences and the humanities, and many others. Discussions at the symposium cover core topics such as the Semantic Web, Ontologies, Knowledge Graph, Linked Data and AI on the Web, Privacy and Trust, etc., as well as the intersection of such topics with areas such as the Internet of Things (IoT) and Blockchains. ===================================== ** Contact ===================================== All inquiries, including questions about submissions should be emailed to contact us at 2020-org AT us2ts DOT org You are also welcome to join our social network on LinkedIn at https://www.linkedin.com/groups/13783135/ We look forward to your great contributions and participation. See you all on March 9 - 11, 2020, in Raleigh, NC! ===================================== ** Sponsors ===================================== US2TS 2020 would not be possible without the generous support of our sponsors. The following sponsors have expressed their financial support for US2TS 2020. Social Event Sponsor: LexisNexis Platinum Sponsors: Raytheon BBC Technologies Standard Sponsors: Bosch, Data.World Please read more to know about US2TS Sponsorship Packages at https://us2ts.org/sponsors. -------------- next part -------------- An HTML attachment was scrubbed... URL: From michal.rafal.zareba at gmail.com Wed Jan 29 13:56:00 2020 From: michal.rafal.zareba at gmail.com (=?UTF-8?B?TWljaGHFgiBaYXLEmWJh?=) Date: Wed, 29 Jan 2020 19:56:00 +0100 Subject: Connectionists: NEURONUS 2020 IBRO Neuroscience Forum (24-26 April 2020, Krakow, Poland) Message-ID: CALL FOR ABSTRACTS for NEURONUS 2020 IBRO Neuroscience Forum is open only UNTIL FEBRUARY 14! More information and registration forms can be found our website: http://neuronusforum.pl/. With prominent speakers and an unique atmosphere of one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests, and we invest a lot of effort to attract as influential neuroscientists as possible. This year?s keynote speakers include: - Karl Friston (University College London, the UK) - Pico Caroni (University of Basel, Switzerland) - Karin Roelofs (Radboud University Nijmegen, the Netherlands) - Alejandro Schinder (Leloir Institute, Buenos Aires, Argentina) - Adam Hampshire (Imperial College London, the UK) - Dayu Lin (New York University School of Medicine, the USA) Furthermore, a special panel concerning the Future of Neuroscience will be held. We have confirmed participation of three pioneering researchers: - Viktor Jirsa (Aix-Marseille University, France) - Panayiota Poirazi (Institute of Molecular Biology and Biotechnology, Heraklion, Greece) - Dominik Paquet (Ludwig Maximilian University of Munich, Germany) During the upcoming 11th edition of the conference, we will traditionally continue to put emphasis on development of early-career researchers. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. We strongly encourage you to join this special initiative, and hope to see you in the pleasant spring scenery of Krakow! On behalf of the Organising Committee, Micha? Zar?ba -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Thu Jan 30 07:44:05 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Thu, 30 Jan 2020 13:44:05 +0100 Subject: Connectionists: CFP: International Workshop on Artificial Intelligence & Edge Computing (AIEC 2020) Message-ID: <37a65e31-6d29-15a2-5eb6-9f5fa6085de2@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: 23^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 *(To be completed) ?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 marcello.pelillo at gmail.com Thu Jan 30 11:48:33 2020 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Thu, 30 Jan 2020 17:48:33 +0100 Subject: Connectionists: Post-doc positions at ECLT (Venice) Message-ID: *Postdoctoral researcher positions at the European Centre for Living Technology* *Call for expression of interest* The European Centre for Living Technology (ECLT) at Ca? Foscari University in Venice is now hiring postdoctoral researchers for a working group on Systems approaches for the discovery of combinatorial therapies for complex disorders. The group?s research consists in selecting and processing functional information for personalized medicine decision making for renal pathologies in type II diabetes. Based on large heterogeneous patient datasets, the group will develop methodologies to identify optimal individualized combinatorial treatments. The research is funded through the H2020 EU project: Drug combinations for rewriting trajectories of renal pathologies in type II diabetes (DC-ren, ? 6M budget), which runs from January 2020 to January 2025. This interdisciplinary project is coordinated by the Medizinische Universitat of Innsbruck (Austria) with Professor Gert Meyer as principal investigator, and with partners from Austria, Germany, Netherland, Denmark, Israel and Italy. The ECLT team is coordinated by *Professor Irene Poli * and includes statisticians and computer scientists. ECLT invites expressions of interest from qualified scholars in the fields of statistical models, machine learning, complex systems, and evolutionary search. Candidates are invited to send an email to eclt at unive.it with subject line Call for interest in DC-ren, including cv and a motivating letter. After the closure of the present call for expressions of interest, ECLT will issue a formal Call for Applications. -------------- next part -------------- An HTML attachment was scrubbed... URL: From antolikjan at gmail.com Thu Jan 30 11:30:35 2020 From: antolikjan at gmail.com (Jan Antolik) Date: Thu, 30 Jan 2020 17:30:35 +0100 Subject: Connectionists: 3 Year PhD or Postdoc position in Computational Neuroscience, Charles University, Prague Message-ID: The newly formed Computational System Neuroscience Group is inviting applications for several fully funded PhD or Postdoc positions in Computational Neuroscience and Neuroinformatics at the Faculty of Mathematics and Physics, Charles University, Prague, starting September 2020 The studentships are ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. Successful candidates will have a strong background in numerical sciences, such as computer science, math or physics, and a keen interest in shaping the future of neuroscience. For the PhD positions no previous experience in neuroscience is required. A broad range of topics is available (see http://antolik.net/research), including but not limited to: large-scale spiking models of the early and higher visual system, machine learning techniques in visual neuroscience, developmental models of early sensory systems and development of tools for computational modelling. We encourage applicants to explore the work of the group by looking at its past and present projects. Interested candidates are invited to send their CV and a brief description of their interest in this position to antolikjan at gmail.com, to initiate discussions about potential PhD or Postdoc projects of interest. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dimitrios.kollias15 at imperial.ac.uk Thu Jan 30 17:03:34 2020 From: dimitrios.kollias15 at imperial.ac.uk (Kollias, Dimitrios) Date: Thu, 30 Jan 2020 22:03:34 +0000 Subject: Connectionists: CFP: FG-2020 Affect Recognition in-the-wild: Uni/Multi-Modal Analysis Workshop In-Reply-To: References: Message-ID: Apologies for cross-posting ******************************** Dear Colleagues, Please find below the invitation to contribute to the: Affect Recognition in-the-wild: Uni/Multi-Modal Analysis Workshop, which will be held in conjunction with the IEEE Automatic Face and Gesture Recognition (FG) Conference 2020 in Buenos Aires, Argentina, 18-22 May 2020. Website: https://ibug.doc.ic.ac.uk/resources/affect-recognition-wild-unimulti-modal-analysis-va/ SCOPE: ------------ The workshop aims at advancing the state-of-the-art in the problem of analysis of human affective behavior in-the-wild. It solicits any original paper on databases, benchmarks and technical contributions related to affect recognition, using audio, visual or other modalities (e.g., EEG), in unconstrained conditions. Either uni-modal, or multi-modal approaches will be considered. It would be of particular interest to see methodologies that study detection of action units based on audio data (with the recent development of the largest in-the-wild audiovisual database, Aff-Wild2, annotated in terms of three behavior tasks: valence-arousal, basic expressions and action units). The scope of the workshop includes but is not limited to contributions in the following topics: (a) databases for spontaneous and naturalistic: i) facial expression or micro-expression analysis, or ii) facial action unit detection, or iii) valence-arousal estimation, ?in the-wild?. (b) methodologies for: i) facial expression or micro-expression analysis, or ii) facial action unit detection, or iii) valence-arousal estimation, ?in the wild?; The methodologies can use uni-modal or multi-modal information (e.g., visual, audio data, hand and body gestures, EEG, EDA) (c) methodologies for action unit prediction from audio (e.g., using Aff-Wild2, which is an audiovisual database) (d) domain-adaptation techniques for the above described behavior tasks (either using Aff-Wild2, or any other database, or combination of databases). IMPORTANT DATES: ----------------------------- ? 14 February 2020 - Paper submission deadline ? 21 February 2020 - Review decisions sent to authors; Notification of acceptance ? 28 February 2020 - Camera ready version deadline Accepted workshop papers will appear at IEEE FG 2020 proceedings. SUBMISSION INFORMATION: -------------------------------------------- The paper format should adhere to the paper submission guidelines for FG2020. The submission process will be handled through the CMT. KEYNOTE SPEAKERS: ---------------------------------- Aleix M. Martinez, Ohio State University, United States Pablo Barros, Italian Institute of Technology,Italy CHAIRS: ------------- Stefanos Zafeiriou, Imperial College London, UK Dimitrios Kollias, Imperial College London, UK Attila Schulc, Realeyes - Emotional Intelligence In case of any queries, please contact dimitrios.kollias15 at imperial.ac.uk . Kind Regards, Dimitrios Kollias, on behalf of the organising committee iBUG Group Department of Computing Imperial College London -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Thu Jan 30 16:37:43 2020 From: publicity at acsos.org (ACSOS 2020) Date: Thu, 30 Jan 2020 21:37:43 +0000 Subject: Connectionists: ACSOS 2020: Deadline Extended for Workshop Proposals Message-ID: *** ACSOS 2020 - Call For Workshops & Tutorials *** 1st Joint ICAC/SASO International Conference on Autonomic Computing and Self-Organizing Systems 17-21 August 2020 ? Washington, DC, USA https://2020.acsos.org/https://twitter.com/ACSOSconf ***************************************************** The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). For more information about the merger, as well as up-to-date news, see https://conf.researchr.org/news/acsos-2020 or follow us at https://twitter.com/ACSOSconf!*** Important Dates *** *EXTENDED*: February 7, 2020: Workshop proposal submission deadline February 14, 2020: Workshop acceptance notification February 28, 2020: Workshop call for papers online (at the latest) May 10, 2020: Tutorial proposal deadline May 17, 2020: Tutorial acceptance notification August 17-August 21, 2020: Workshop and Tutorial dates *** About ACSOS Workshops & Tutorials *** ACSOS 2020 is soliciting proposals for workshops and tutorials to be co-located with its main conference. ACSOS workshops will provide a meeting place for presenting novel ideas in a less formal and possibly more focused way than the conferences themselves. Their aim is to stimulate and facilitate active exchange, interaction, and comparison of approaches, methods, and ideas. To motivate the discussion and participation of all the workshop attendants, we encourage organizers to get away from the typical ?mini-conference? format of a workshop and include more discussion sessions, panels, etc. The workshops/tutorials should be on original and timely topics of relevance to the ACSOS communities. We seek proposals from individuals and teams interested in organizing strong workshops and tutorials. Ideally, each workshop/tutorial should be full or half-day. Workshops and tutorials will take place on Monday and Friday surrounding the main conference. We will interact with workshop organizers in due time to define the schedule of the sessions and coffee breaks as well as room logistics. Please submit your workshop/tutorial proposals as soon as possible. We will try to decide as early as possible on workshop/tutorial acceptance in order to give the organizers more time to solicit papers.Workshop descriptions, workshop papers, and tutorial abstracts are part of the ACSOS Companion Volume that will be published alongside the ACSOS main proceedings. Workshop papers should have a maximum of six pages. Workshop descriptions should have a maximum of two pages. The workshop description should introduce the workshop topics and summarise the papers accepted for the workshop. Tutorial abstract should be a maximum of one pageand will be included in the ACSOS Companion Volume. A higher page limit and/or additional extra paid pages may be possible subject to the approval by the proceedings chair. *** Workshop Proposals ***Proposals for workshops should be organized as a preliminary call for papers or call for participation, depending on the intended format of the workshop, with a maximum of two pages and contain the following information: - Title of the workshop.- A brief technical description of the workshop, specifying the workshop goals, the technical issues that it will address, and the relevance of the workshop to the main conference. The names, affiliations, phone numbers, and email addresses of the proposed workshop organizing committee. We strongly encourage the organizing committee to consist of at least two people coming from multiple institutions knowledgeable about the technical issues to be addressed - The primary email address for contacting the organizing committee.- Expected duration of the workshop (half or full-day) - A brief description of the workshop format.- The workshop deadlines, both internal and external, aligned with the ACSOS timeline. - Description of the paper review process and acceptance standards in order to keep the workshop high in quality. Accepted workshop papers will be published in the proceedings and submitted for inclusion to IEEE Xplore. Papers must thus be in the same format as the conference proceedings and may not be more than 6 pagesin length. Workshop organizers must ensure that suitable quality measures have been taken. All papers must be reviewed by an International Technical Program Committee with a minimum of 3 reviews per paper.- List of potential program committee members, including their title and affiliations. - List of potential invited speakers, panelists, or disputants.Additionally, the organizers should give further information in the proposal on an additional pagenot counted towards the page limit and not suitable for a Call for Papers, including: - Information about previous offerings of the proposed workshop/tutorial: when and where it has been offered in the past, organizers? names and affiliations, number of submissions, acceptances, and registered attendees.- An expected number of submissions, accepted papers, and attendees (if applicable). Workshop proposals should be sent as a pdf via email to acsos20.workshops at gmail.com.*** Tutorial Proposals ***Proposals for tutorials should be organized as a preliminary call for participation with a maximum of two pagesand contain the following information: - Title of the tutorial.- A brief technical description of the tutorial, specifying the tutorial goals, the technical issues that it will address, and the relevance of the tutorial to the main conference. The names, affiliations, phone numbers, and email addresses of the proposed tutorial organizer(s). - The primary email address for contacting the organizers.- Expected duration of the tutorial (half or full day). Tutorial proposals should be sent as a pdf via email to acsos20.workshops at gmail.com.*** Responsibilities of ACSOS Workshop & Tutorial Organizers ***- Produce a web page and a Call for Papers/Participation for their workshop/tutorial. The call must make it clear that at least one author of each accepted submission must register and present the paper (for workshops). - Provide a brief description of the workshop/tutorial for the conference web page and program.- Advertise the workshop/tutorial (and the main ACSOS event) and issuing a call for papers and a call for participation - Write an organizers? introduction for the workshop/an abstract of the tutorial.- Ensure that the workshop/tutorial organizers and the participants register for the workshop/tutorial and/or the main conference (at least one author must register for the paper to appear in the proceedings).Organizers must commit to meeting the following deadlines (these are the latest possible deadlines):- Workshop paper submission deadline: early June (after acceptance notification for the main conference) - Workshop paper acceptance notification: early July- Camera-ready papers due: early July (synchronized with CRV deadline for the main conference) - Workshop/Tutorial notes submission to workshops and tutorials/proceeding chairs: 8 July (synchronized with CRV deadline for the main conference)In addition, workshop organizers will be responsible for the following: - Setting up and managing the paper submission site and review process. Ensuring that all workshop papers follow the standard IEEE formatting guidelines and an agreed page limit of 6 pages. A higher page limit and/or additional extra paid pages may be possible subject to the approval by the proceedings chair.- Assisting in producing a camera-ready version of the workshop proceedings. Important Notes:- ACSOS reserves the right to cancel any workshop/tutorial if the above responsibilities are not fulfilled, or if too few attendees register for the workshop to support its running costs. - Workshops are not automatically endorsed by IEEE or ACM and should not use the names of these organizations in their titles.If you have questions about your proposal, do not hesitate to contact the workshop chairs: claudia.raibulet at unimib.it or pkumar at wm.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at ens.fr Fri Jan 31 03:51:05 2020 From: boris.gutkin at ens.fr (boris gutkin) Date: Fri, 31 Jan 2020 09:51:05 +0100 Subject: Connectionists: Postdoctoral Positions in Theoretical Neuroscience, Higher School of Economics, Moscow Russia FEB 9 DEADLINE Message-ID: <894378A6-C081-4FE3-950D-A0004DF40C22@ens.fr> Post-doctoral position in Theoretical Neuroscience DEADLINE 9 February More Information: https://iri.hse.ru/cognitive_neuroscience3 Application link: https://iri.hse.ru/polls/323647081.html The Higher School of Economics Centre for Cognition & Decision Making of the Institute of Cognitive Neuroscience in Moscow, Russia, invites applications for postdoctoral research positions in computational and mathematical approaches to understanding neural function and cognition at Theoretical Neuroscience Group (TNG). Research interests of the TNG at the Centre for Cognition and Decision Making are wide ranging, carried out in collaboration with the experimental labs at the Center. Current research topics include computational psychiatry, computational neuroeconomics, information processing in neurons and circuits, as well as role of oscillations in cognition. The candidate will have the opportunity to further define and expand the Group?s research programme. We are seeking highly qualified and motivated candidate with backgrounds in quantitative disciplines: applied mathematics, physics, computer science or engineering. Knowledge of biology, neuroscience and ability to work with data is highly desired. Candidates will be trained in model building, analysis and will be offered advanced training in neuroscience and cognitive psychology. Candidates will have an opportunity to develop independent research projects and collaborations under the direction of the group leading scientists. The TNG is a structural part of the HSE?s Centre for Cognition & Decision Making with ample collaboration opportunities within the Centre with other research groups, both within Russia and internationally. This new international group is tightly linked with the Group for Neural Theory at the Ecole Normale Superior in Paris, where research internships and visiting positions can be made available. Application Process Applications must be submitted online. Please provide a CV, a statement of research interest and a recent research paper submitted via an online application form. At least two letters of recommendation should be sent directly to the International Faculty Recruitment Office at fellowship at hse.ru before the application deadline. Please note that direct applications to the hiring department may not be reviewed. More information can be also obtained from boris.gutkin at hse.ru -------------- next part -------------- An HTML attachment was scrubbed... URL: From hrvoje.stojic at protonmail.com Fri Jan 31 05:03:13 2020 From: hrvoje.stojic at protonmail.com (Hrvoje Stojic) Date: Fri, 31 Jan 2020 10:03:13 +0000 Subject: Connectionists: 5th EADM Summer School: Learning and decision making, 8-15 July, 2020 Message-ID: SAVE THE DATE! Date: 8-15 July, 2020 Location: Universitat Pompeu Fabra, Barcelona, Spain Theme: Learning and decision making Eligible: Early career researchers Applications open: 15 February, 2020 Further details available at: https://ldmss.org The 5th EADM Learning and Decision Making summer school will take place from the 8th to the 15th of July and 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 academic syllabus will be complemented with social activities in and around Barcelona. Applications will open on the 15th of February! 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) Elizaveta Konovalova (Max Planck Institute for Human Development) 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 contact us at: ldmss at protonmail.com or on Twitter @ldmsschool ----------------------------- Hrvoje Stojic, PhD Postdoctoral researcher University College London Website: http://hstojic.re/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Nicolas.Rougier at inria.fr Fri Jan 31 02:29:50 2020 From: Nicolas.Rougier at inria.fr (Nicolas Rougier) Date: Fri, 31 Jan 2020 08:29:50 +0100 Subject: Connectionists: Ten Years Reproducibility Challenge / June 22, 2020 in Bordeaux, France Message-ID: <8F69407A-509F-459A-9603-5072D20CC365@inria.fr> Dear all, There are two months left if you want to take up the "Ten Years Reproducibility Challenge? whose goal is to try to compile / run your old code (> 10 years) that accompanied one of your published article or preprint (see below). More information at: https://github.com/ReScience/ten-years/ Deadline: 01/04/2020 (https://github.com/ReScience/submissions) Workshop: 22/06/2020 (Bordeaux, France) List of declared participants: https://github.com/ReScience/ten-years/issues/1 Three papers already submitted (one published): https://github.com/ReScience/submissions/issues?q=is%3Aissue+is%3Aopen+label%3A%22Ten+Years+Challenge%22 Nicolas Rougier --- Did you ever try to run an old code that you wrote for a scientific article you published years ago? Did you encounter any problems? Were you successful? We are curious to hear your story. This is the reason why we are editing a special issue of ReScience to collect these stories. The ten years reproducibility challenge is an invitation for researchers to try to run the code they've created for a scientific publication that was published more than ten years ago. This code can be anything (statistical analysis, numerical simulation, data processing, etc.), can be written in any language and can address any scientific domain. The only mandatory condition to enter the challenge is to have published a scientific article before 2010, in a journal or a conference with proceedings, which contains results produced by code, irrespectively of whether this code was published in some form at the time or not. Note that we do not ask you to write a new version of your old code. We ask you instead to try to make your old code to run on modern hardware/software (with minimal modifications) in order to check if you can obtain the exact same results that were publised at least ten years ago. Sounds easy? We have good reasons to think this might be more difficult than you think. And maybe the first problem you'll have to solve is to find your own source code. More information at: https://github.com/ReScience/ten-years/ From wittawatj at gmail.com Fri Jan 31 04:26:41 2020 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Fri, 31 Jan 2020 10:26:41 +0100 Subject: Connectionists: Call for participation: Machine Learning Summer School, 28 June - 10 July 2020, Germany In-Reply-To: References: Message-ID: Dear all, Please allow us to send another reminder to apply to the Machine Learning Summer School 2020 (http://mlss.tuebingen.mpg.de/2020/) in T?bingen, Germany. Application deadline is *11 February 2020*. Please see the details below. Kind regards, The MLSS 2020 Team On Tue, 7 Jan 2020 at 14:02, Wittawat Jitkrittum wrote: > Dear all, > > The Machine Learning Summer School (MLSS) 2020 will be held at the Max > Planck Institute for Intelligent Systems, T?bingen, Germany between 28 > June - 10 July 2020. The MLSS presents topics which are at the core of > modern machine learning, from fundamentals to state-of-the-art practice. > The speakers are leading experts in their field. > > # INVITED SPEAKERS & TOPICS > > > 1. > > Francis Bach , INRIA. Optimization > 2. > > Stefan Bauer , Max Planck Institute for > Intelligent Systems. Causal Inference > 3. > > Yoshua Bengio , University of > Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, > GRSNC. Deep learning > 4. > > Michael Bronstein , > Imperial College London and Twitter. Geometric Deep Learning > 5. > > Nicol? Cesa-Bianchi , University of > Milan. Learning Theory > 6. > > Marco Cuturi , Google Brain and Institut > Polytechnique de Paris. Optimal Transport > 7. > > Constantinos Daskalakis , > Massachusetts Institute of Technology (MIT). Game Theory in Machine Learning > 8. > > Peter Dayan , Max > Planck Institute for Biological Cybernetics. Machine learning for > Computational Neuroscience > 9. > > Arthur Gretton , Gatsby > Computational Neuroscience Unit, UCL. Kernel Methods > 10. > > Moritz Hardt , University of California, > Berkeley. Fairness > 11. > > Stefanie Jegelka , Massachusetts > Institute of Technology (MIT). Submodularity > 12. > > Shakir Mohamed , DeepMind. Bayesian Inference > 13. > > Doina Precup , McGill University > and DeepMind. (Deep) Reinforcement Learning > 14. > > Bernhard Sch?lkopf , Max Planck Institute > for Intelligent Systems. Causal Inference > 15. > > Yee Whye Teh , University of Oxford > and DeepMind. Meta-Learning > 16. > > Mihaela van der Schaar > , > University of Cambridge and Alan Turing Institute. Machine Learning for > Healthcare > > > The list of invited speakers is still growing, which will be updated on > our website . > > > # APPLICATION & PROGRAM > > We are inviting applications to participate in the MLSS 2020. The > application deadline is 11 February 2020. Details regarding the > application process can be found at > http://mlss.tuebingen.mpg.de/2020/participate.html . Everyone is welcome > to apply to MLSS 2020 regardless of their origin, nationality, and country > of residence. We aim to select 150 strongly motivated participants. Our > primary target audience is early-mid stage PhD students with good > technical background whose research topics are related to machine learning. > All applicants are subject to a selection process. Note that the > application portal may close earlier than the deadline if the number of > applications exceeds our capacity to review > > There is no application fee. However, for applicants selected to > participate, there is a registration fee (details here > ). The registration > fee will allow us to offer access to all lectures by the invited speakers, > lunch, dinner and two coffee breaks everyday, social events (banquet, > outdoor activities). A small number of travel awards are available for > students who are accepted to attend. > > # CONTACT: > > Please do not hesitate to contact us at mlss2020-team at tuebingen.mpg.de for > any questions or suggestions. > > > Kind regards, > > The MLSS 2020 Team > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.micheli at unipi.it Fri Jan 31 07:26:04 2020 From: alessio.micheli at unipi.it (ALESSIO MICHELI) Date: Fri, 31 Jan 2020 12:26:04 +0000 Subject: Connectionists: [CfP] IEEE TNNLS Special Issue on "New Frontiers in Extremely Efficient Reservoir Computing" Message-ID: <862ffa5b3a2d4793bb9a658fe164fa14@unipi.it> IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Special Issue on "New Frontiers in Extremely Efficient Reservoir Computing" https://cis.ieee.org/publications/t-neural-networks-and-learning-systems Submission Deadline: September 15, 2020. More info: https://cis.ieee.org/images/files/Documents/call-for-papers/tnnls/CFP_Special_Issue_RC_TNNLS.pdf Guest Editors: Gouhei Tanaka, The University of Tokyo, Japan, Claudio Gallicchio, University of Pisa , Italy, Alessio Micheli, University of Pisa, Italy, Juan Pablo Ortega, University of St. Gallen, Switzerland, Akira Hirose, The University of Tokyo, Japan. --- -------------- next part -------------- An HTML attachment was scrubbed... URL: From riccardo.guidotti at unipi.it Fri Jan 31 09:29:28 2020 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Fri, 31 Jan 2020 15:29:28 +0100 Subject: Connectionists: IEEE DSAA 2020 CFP 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 cmummidise at sralab.org Fri Jan 31 10:41:13 2020 From: cmummidise at sralab.org (Krishna Mummidisetty) Date: Fri, 31 Jan 2020 09:41:13 -0600 Subject: Connectionists: Post-Doctoral Fellow Research - Center for Bionic Medicine, Full-time Message-ID: <202001311542.00VFgeS3050994@scs-mx-02.andrew.cmu.edu> Post-Doctoral Fellow Research - Center for Bionic Medicine, Full-time Tracking Code 44375 Job Description *Post-Doctoral Fellow Center for Bionic Medicine, Full time* *Job Description* *General Summary* We are seeking a new Post-Doctoral fellow to work in the Max N?der Lab for Rehabilitation Technologies and Outcomes Research housed in the Center of Bionic Medicine located downtown Chicago at the Shirley Ryan AbilityLab. The Post-Doc Fellow will collect and analyze data from wearable sensors/technologies during overnight sleep from patients in a rehabilitation hospital setting. The position is supported by the NIH through a large collaborative project to improve patients? objective and subjective sleep quality. A successful candidate should have a background in neuroscience, engineering, or a related discipline with knowledge or interest in biomedical research and machine learning. Ideal candidates would also have strong computational skills, with proficiency in MATLAB or Python. A moderate level of independence will be expected, including the ability to mentor undergraduate and graduate students. Previous experience conducting sleep research studies OR analyzing physiological sensor-based data (such as from accelerometers, gyroscopes, EMG, or ECG) is preferred. Due to the intermittent need to collect or supervise collection of overnight sleep data, some flexibility in schedule is required. The Post-Doc Fellow will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute. The Post-Doc Fellow will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Shirley Ryan AbilityLab Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties. *Principal Responsibilities* *The Post-Doc Fellow, Center for Bionic Medicine will:* 1. Design, execute, and interpret research pertaining to sleep and wearable sensor technology. 2. Assist with development of collaborative projects within and outside the Shirley Ryan AbilityLab and test ideas for new projects development. 3. Apply for fellowships and grants for external lab funding and career development. 4. Develop, submit and publish the results of research projects in high quality journals and present data to public conferences/seminars when needed. 5. Participate weekly lab meetings, journal clubs and seminars. 6. Build and maintain a well-organized and accountable journal of own laboratory protocols, experiments, results and analyses. 7. Perform all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab. *Reporting Relationships* 1. Reports directly to the assigned Principal Investigator *Knowledge, Skills & Abilities Required* 1. Requires the academic knowledge associated with a doctorate degree in Neuroscience, Biomedical Engineering (PhD), or equivalent. 2. Less than 4 years of postdoctoral training. 3. Excellent oral and written communication skills in English. 4. Ability to work closely with patients, clinicians, and professional organizations. 5. Strong interpersonal and organizational skills needed to participate as a creative member of a growing research team. 6. Willingness to network within the organization and to independently strengthen/develop new external collaborations. 7. Ability to timely plan and to coordinate project completions. *Working Conditions* 1. Normal office environment with little or no exposure to dust or extreme temperature. SRAlab is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. #LI-NM1 Job Location Chicago, Illinois, United States Position Type Full-Time/Regular Please apply here: https://ricc-hr.silkroad.com/epostings/index.cfm?fuseaction=app.jobInfo&version=1&jobid=180904 -- Chaithanya K Mummidisetty, MS Research Engineer-III The Max N?der Lab for Rehabilitation Technologies and Outcomes Research Center for Bionic Medicine Office of Translational Research Shirley Ryan AbilityLab, 355 E Erie, Room#1401 Chicago IL-60611. Ph: 312-238-1621 sralab.org max-nader-lab-rehabilitation-technologies-and-outcomes-research Facebook | Twitter | YouTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From bertrand.le_saux at onera.fr Fri Jan 31 12:06:28 2020 From: bertrand.le_saux at onera.fr (Bertrand Le Saux) Date: Fri, 31 Jan 2020 18:06:28 +0100 Subject: Connectionists: CfP J-STARS Special Issue "Computer-Vision-based approaches for Earth Observation" Message-ID: <9e361f2a892391628397f75b33898860@webmail.onera.fr> Dear Connectionists, I would like to invite you to contribute to a special issue in the J-STARS journal on "Computer-Vision-based approaches for Earth Observation". Earth Observation is an ever-growing field of investigation where computer vision, machine learning, and signal/image processing meet. The general objective is to provide large-scale information about processes at the surface of the Earth exploiting data collected by air- and space-borne sensors. The technical topics of interest include (but are not limited to): * Multi-modal, multi-temporal, and multi-scale data analysis; * Deep learning for Earth Observation tasks; * 3D object recognition and classification; * Dynamic scene understanding; * Domain adaptation and concept drift; * Semantic labelling, structured prediction, and structured learning; * Interactive, human-in-the-loop interpretation of remote sensing data; * Large-scale 3D reconstruction of urban scenes from very high-resolution data. J-STARS is newly reborn as a Golden open access publication (with very reduced fees for the time being). Papers can be submitted until end of February, but will be considered immediately after submission. They will also appear on Xplore right after acceptance. Please find all the information here: http://www.grss-ieee.org/wp-content/uploads/2019/08/Call_for_Paper_Computer_Vision.pdf See you soon! >From the guest editors team, Bertrand Le Saux -------------- next part -------------- An HTML attachment was scrubbed... URL: From Samuel.Neymotin at nki.rfmh.org Fri Jan 31 16:51:42 2020 From: Samuel.Neymotin at nki.rfmh.org (Neymotin, Samuel (NKI)) Date: Fri, 31 Jan 2020 21:51:42 +0000 Subject: Connectionists: Undergraduate computational neuroscience research position Message-ID: A new paid opportunity for an Army Research Office (ARO) sponsored undergraduate research apprenticeship program (URAP) position is available for the summer of 2020 at the Nathan Kline Institute for Psychiatric Research in Orangeburg, NY (https://www.nki.rfmh.org/). The research will be conducted under the mentorship of Samuel Neymotin, Haroon Anwar, and Salvador Dura-Bernal to help achieve the goals of an ARO grant (PI: Neymotin) that aims to train detailed thalamocortical circuit models to play video games using biologically-plausible learning rules, and to compare the models? performance against commonly used deep reinforcement learning algorithms. Students will have the opportunity to learn cutting edge methods in computational neuroscience, machine learning, and Python software development, and potentially publish their research results. Candidates will be considered based on their experience in computational neuroscience, machine learning, and Python programming. Candidates must be located within commuting distance to Nathan Kline Institute during the apprenticeship period. To be considered, please click the link to ?Apply Now? at https://www.usaeop.com/program/urap/ Make sure to use code U803 (Nathan Kline Institute for Psychiatric Research , NY). For questions, email Samuel.Neymotin at nki.rfmh.org For more information about the URAP visit: http://www.usaeop.com/ ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: