From pkordjam at tulane.edu Tue May 1 08:40:47 2018 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Tue, 1 May 2018 12:40:47 +0000 Subject: Connectionists: Fwd: [cfp]: COGNITIVE VISION / IJCAI-ECAI 2018 Workshop References: <9A262C4E-EC5C-4063-8273-D184B62148C6@uni-bremen.de> Message-ID: <7B807044-AA67-4541-9E01-01232BEFF353@tulane.edu> [Apologies if you receive multiple copies of this CFP] ## IJCAI-ECAI 2018 WORKSHOP / CALL FOR PAPERS ## COGNITIVE VISION ? Integrated Vision and AI for Embodied Perception and Interaction Workshop Chairs: Mehul Bhatt, Alessandra Russo, Parisa Kordjamshidi The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI) IJCAI-ECAI 2018 / Stockholm, Sweden www.codesign-lab.org/faim18-cogvis ## ABOUT THE WORKSHOP ## The workshop on COGNITIVE VISION solicits contributions addressing computational vision and perception at the interface of language, logic, cognition, and artificial intelligence. The workshop brings together a novel & unique combination of academics and research methodologies encompassing AI, Cognition, and Interaction. The workshop will feature invited and contributed research advancing the practice of Cognitive Vision particularly from the viewpoints of theories and methods developed within the fields of: ? Artificial Intelligence ? Computer Vision ? Spatial Cognition and Computation ? Cognitive Science and Psychology ? Visual Perception ? Cognitive Linguistics Application domains being addressed include, but are not limited to: ? autonomous driving ? cognitive robotics ? vision for UAVs ? visual art, fashion, cultural heritage ? vision in biology (e.g., animal, plant) ? vision and VR ? vision for social science, humanities ? vision for psychology, human behaviour studies ? social signal processing, social media ? remote sensing, GIS ? medical imaging ## TECHNICAL FOCUS ## The principal emphasis of the workshop is on the integration of vision and artificial intelligence from the viewpoints of embodied perception, interaction, and autonomous control. In addition to basic research questions, the workshop addresses diverse application areas where, for instance, the processing and semantic interpretation of (potentially large volumes of) highly dynamic visuo-spatial imagery is central: autonomous systems, cognitive robotics, medical & biological computing, social media, cultural heritage & art, social media, psychology and behavioural research domains where data-centred analytical methods are gaining momentum. Particular themes of high interest solicited by the workshop include: ? methodological integrations between Vision and AI ? declarative representation and reasoning about spatio-temporal dynamics ? deep semantics and explainable visual computing (e.g., about space and motion) ? vision and computational models of narrative ? cognitive vision and multimodality (e.g., multimodal semantic interpretation) ? visual perception (e.g., high-level event perception, eye-tracking) ? applications of visual sensemanking for social science, humanities, and human behaviour studies The workshop emphasises application areas where explainability and semantic interpretation of dynamic visuo-spatial imagery are central, e.g., for commonsense scene understanding; vision for robotics and HRI; narrative interpretation from the viewpoints of visuo-auditory perception & digital media, sensemaking from (possibly multimodal) human-behaviour data where the principal component is visual imagery. We welcome contributions, position statements, perspectives addressing the workshop themes from formal, cognitive, computational, engineering, empirical, psychological, and philosophical perspectives. Please consult the workshop website for a list of indicative topics: http://codesign-lab.org/faim18-cogvis/ ## SUBMISSION REQUIREMENTS ## Submitted papers must be formatted according to IJCAI guidelines (details here: IJCAI-ECAI 18 guidelines); in summary, all contributions should be no longer than 7 single-spaced pages (6 pages max for content, 1 page max for references). Contributions may be submitted as: (1). technical papers; (2) position statements; or (3) work in progress. Submissions should only be made electronically as PDF documents via the paper submission site: https://easychair.org/conferences/?conf=cogvis2018 ## IMPORTANT DATES IN 2018 ## ? Submissions: May 20 ? Notification: June 4 ? Camera Ready: June 20 ? Workshop Date: To be confirmed ? Conference: July 13 - 19 ## WORKSHOP CHAIRS ## Mehul Bhatt (?rebro University, Sweden / University of Bremen, Germany) Alessandra Russo (Imperial College London, United Kingdom) Parisa Kordjamshidi (Tulane University, Florida Institute for Human and Machine Cognition, United States) ======================================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Tue May 1 13:44:25 2018 From: nsmattei at gmail.com (Nicholas Mattei) Date: Tue, 01 May 2018 17:44:25 +0000 Subject: Connectionists: [Final Call For Papers] AAMAS-IJCAI workshop on Agents & Incentives in AI (AI^3 2018) Message-ID: Final Call for Papers: the AAMAS-IJCAI workshop on Agents & Incentives in AI (AI^3 2018) Stockholm, Sweden, July 13-15, 2018 Webpage: https://sites.google.com/site/ai3workshop/ Please Note: We have modified the deadlines to accommodate those wishing to submit early and receive notification before the IJCAI Early Registration Deadline. ************************************************************ MISSION ************************************************************ Over the past two decades, there has been an increasing focus on the issue of agent incentives in decentralized and centralized AI systems. These issues come up when designing preference aggregation mechanisms and markets; computing equilibria, and bidding strategies; facilitating cooperation among agents, and fairly dividing resources. Building on the Federated AI Meeting (FAIM) happening this year in Stockholm, multiple workshops (AGT at IJCAI, AMEC, CoopMAS, EXPLORE) have joined hands to be the main venue to show off novel work being done in these areas. All submissions will be peer-reviewed and evaluated on the basis of the quality of their contribution, originality, significance, and the potential to generate fruitful discussions. Industrial applications and position papers presenting novel ideas, issues, challenges, and directions are also welcome. ************************************************************ PAPER SUBMISSION ************************************************************ We invite submissions in all areas related to this interplay of incentives, agents, and AI, and in particular on the following topics: * Algorithmic mechanism design * Auctions * Behavioral Game Theory * Bounded rationality * Cooperation and collaboration * Computational advertising * Computational aspects of equilibria * Computational social choice * 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 Division * Incentives in machine learning * Information and attention economics * Learning in games (e.g., solution concepts and equilibria) * Matching Markets * Mechanism design * Price differentiation and price dynamics * Social networks * Strategic behavior * 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 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. In addition, papers published/presented after IJCAI 2017 or later (which are not presented orally at any FAIM conference -- we will have lightening talks for these papers) can be submitted. We specifically encourage papers accepted to FAIM as posters to be submitted for oral presentation consideration. Please contact either one of the program chairs in case of any questions: Sofia Ceppi (sofia at prowler.io) Omer Lev (omerlev at bgu.ac.il) ************************************************************ IMPORTANT DATES ************************************************************ * Early Submission Deadline: 5 May, 2018 Since the notifications will be after the IJCAI early registration deadline (May 31st), we will give the option to authors who want an early notification to submit by May 5th and state explicitly that you ask for early notification. * Submission Deadline: 14 May, 2018 * Acceptance Notification: 10 June, 2018 * Joint IJCAI/ECAI/AAMAS/ICML Workshops: 13-15 July, 2018 ********************************************************************** ORGANIZATION ********************************************************************** ** Program Chairs ** Sofia Ceppi Omer Lev ** Steering Committee ** Reshef Meir (AGT at IJCAI) Chen Hajaj and Valentin Robu (AMEC/TADA) Yair Zick (CoopMAS) Nicholas Mattei, Haris Aziz, John P. Dickerson, (EXPLORE) ********************************************************************** SUBMISSION DETAILS ********************************************************************** Submission Site: Authors should submit full papers electronically in PDF format at https://easychair.org/conferences/?conf=ai30 Formatting Guidelines: Please format papers according to the Springer LNCS Style (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Templates for Word and Latex are available. Paper Length: Papers can be at most 12 pages long plus 2 additional pages for reference. 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. -- Nicholas Mattei Research Staff Member | IBM Research AI IBM T.J. Watson Research Center 1101 Kitchawan Road, Office 33-238, Yorktown Heights, NY 10598 E: n.mattei at ibm.com | T: +1 914 945 3305 -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.schwarzwaelder at fz-juelich.de Wed May 2 06:12:10 2018 From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder) Date: Wed, 2 May 2018 12:12:10 +0200 Subject: Connectionists: Call for Abstracts: Bernstein Conference 2018 in Berlin In-Reply-To: <0f41e608-ec1d-a3a4-e999-108268df8408@fz-juelich.de> References: <0f41e608-ec1d-a3a4-e999-108268df8408@fz-juelich.de> Message-ID: <94663e3b-2422-983f-2fe1-5a07543daf95@fz-juelich.de> Call for Abstracts: Bernstein Conference 2018 in Berlin ************************************************************** Satellite Workshops September 25-26, 2018 Main Conference September 26-28, 2018 PhD Symposium September 28-29, 2018 ************************************************************** The Bernstein Conference is the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. The main conference, taking place from September 26-28, 2018, will be accompanied by satellite workshops taking place from September 25-26, 2018, and a PhD symposium which will be held from September 28-29, 2018. An important part of the main conference will be the two poster sessions. We are now inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). DETAILS FOR ABSTRACT SUBMISSION: For abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts Poster space is limited and early submission is encouraged. Submission of an abstract does not replace conference registration (www.bernstein-network.de/de/bernstein-conference/2018/registration). ABSTRACT SUBMISSION DEADLINES: Abstracts aimed as contributed talks and posters: June 21, 2018 Abstracts aimed as posters only: July 17, 2018 TRAVEL GRANTS: To support the participation of young researchers in the Bernstein Conference, the Bernstein Coordination Site (BCOS) offers 10 Travel Grants, each endowed with 500 ?. Please find further information under www.bernstein-network.de/de/bernstein-conference/2018/apply-for-a-travel-grant ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). VENUE SATELLITE WORKSHOPS: Marchstrasse 23 10587 Berlin (10 min. walk from the Technische Universit?t Berlin (TU Berlin) Main Building) VENUE MAIN CONFERENCE: Technische Universit?t Berlin (TU Berlin) Main Building Strasse des 17. Juni 135 10623 Berlin VENUE PHD SYMPOSIUM: Bernstein Center Berlin Campus Nord Philippstrasse 13 House 6 10115 Berlin For more information on the conference, please visit the website www.bernstein-conference.de We are looking forward to welcoming you in Berlin! Conference Chair: Andreas Herz Conference Host: Henning Sprekeler Program Chair: Gilles Laurent Program Vice Chair: Susanne Schreiber Workshop Chair: Jakob Macke Workshop Vice Chair: Tatjana Tchumatchenko Technical Organization: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder -- Dr. Kerstin Schwarzw?lder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder at fz-juelich.de web: www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher 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 carsten.mehring at biologie.uni-freiburg.de Wed May 2 06:55:28 2018 From: carsten.mehring at biologie.uni-freiburg.de (Carsten Mehring) Date: Wed, 2 May 2018 12:55:28 +0200 Subject: Connectionists: MSc Neuroscience - University of Freiburg, Germany Message-ID: MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and the latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and genes,circuiots & behaviour. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2018 entry is the 30th of May 2018. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de Please contact mscneuro at uni-freiburg,de for further questions. With kind regards Carsten Mehring ? Bernstein Center Freiburg & Faculty of Biology University of Freiburg -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 833 bytes Desc: Message signed with OpenPGP URL: From ijcci at insticc.info Wed May 2 09:47:57 2018 From: ijcci at insticc.info (ijcci at insticc.info) Date: 2 May 2018 14:47:57 +0100 Subject: Connectionists: CFP IJCCI 2018 - 10th Int.l Joint Conf. on Computational Intelligence (Seville/Spain) Message-ID: <20180502134757.1.0BE0BA791319D913@insticc.info> SUBMISSION DEADLINE 10th International Joint Conference on Computational Intelligence Submission Deadline: May 24, 2018 http://www.ijcci.org/ September 18 - 20, 2018 Seville, Spain. IJCCI is organized in 4 major tracks: - Evolutionary Computation - Fuzzy Computation - Neural Computation - Cognitive and Hybrid Systems A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, IJCCI Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.ijcci.org/ e-mail: ijcci.secretariat at insticc.org From neurotechnix at insticc.info Wed May 2 09:48:10 2018 From: neurotechnix at insticc.info (neurotechnix at insticc.info) Date: 2 May 2018 14:48:10 +0100 Subject: Connectionists: CFP NEUROTECHNIX 2018 - 6th Int.l Congress on Neurotechnology, Electronics and Informatics (Seville/Spain) Message-ID: <20180502134811.1.2DFA794A8A3CD44E@insticc.info> SUBMISSION DEADLINE 6th International Congress on Neurotechnology, Electronics and Informatics Submission Deadline: May 24, 2018 http://www.neurotechnix.org/ September 20 - 21, 2018 Seville, Spain. NEUROTECHNIX is organized in 4 major tracks: - Neural Rehabilitation and Neuroprosthetics - Neuroimaging and Neurosensing - Neuroinformatics and Neurocomputing - Neuromodulation and Neural Engineering With the presence of internationally distinguished keynote speakers: Julio Abascal, University of the Basque Country/Euskal Herriko Uniberstitatea, Spain A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, NEUROTECHNIX Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.neurotechnix.org/ e-mail: neurotechnix.secretariat at insticc.org From phycs at insticc.info Wed May 2 09:48:27 2018 From: phycs at insticc.info (phycs at insticc.info) Date: 2 May 2018 14:48:27 +0100 Subject: Connectionists: CFP PhyCS 2018 - 5th Int.l Conf. on Physiological Computing Systems (Seville/Spain) Message-ID: <20180502134827.1.0DCFA5F63B138A0E@insticc.info> SUBMISSION DEADLINE 5th International Conference on Physiological Computing Systems Submission Deadline: May 24, 2018 http://www.phycs.org/ September 19 - 21, 2018 Seville, Spain. PhyCS is organized in 4 major tracks: - Devices - Methodologies and Methods - Human Factors - Applications With the presence of internationally distinguished keynote speakers: Eduardo Rocon, Consejo Superior de Investigaciones Cient?ficas, Spain Lucas Noldus, Noldus Information Technology bv, Netherlands Georgios N. Yannakakis, University of Malta, Malta A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, PhyCS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.phycs.org/ e-mail: phycs.secretariat at insticc.org From smart at neuralcorrelate.com Wed May 2 10:16:56 2018 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Wed, 2 May 2018 10:16:56 -0400 Subject: Connectionists: call for illusion submissions: the 14th Best Illusion of the Year Contest In-Reply-To: <00df01d3e21f$fe774810$fb65d830$@neuralcorrelate.com> References: <009401d3e21d$3e7154e0$bb53fea0$@neuralcorrelate.com> <00b901d3e21f$a24523a0$e6cf6ae0$@neuralcorrelate.com> <00d001d3e21f$db5d1350$921739f0$@neuralcorrelate.com> <00df01d3e21f$fe774810$fb65d830$@neuralcorrelate.com> Message-ID: <010501d3e220$39fdedd0$adf9c970$@neuralcorrelate.com> ****CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 14TH ANNUAL BEST ILLUSION OF THE YEARSM CONTEST**** http://illusionoftheyear.com We are happy to announce the 14th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube videos featuring novel illusions (unpublished, or published no earlier than 2017) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * -A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * -A video of yourself describing your illusion * -A video animation/enactment of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * -Significance to our understanding of the human mind and brain * -Simplicity of the description * -Sheer beauty * -Counterintuitive quality * -Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion, and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2018 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until June 25, 2018. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at salk.edu Wed May 2 12:45:51 2018 From: navlakha at salk.edu (Saket Navlakha) Date: Wed, 2 May 2018 09:45:51 -0700 Subject: Connectionists: Biological Distributed Algorithms 2018 -- final call -- generous travel support available Message-ID: ================================================================ The 6th Workshop on Biological Distributed Algorithms (BDA 2018) July 23, 2018 in London, UK. Co-located with PODC 2018 http://www.snl.salk.edu/~navlakha/BDA2018/ ================================================================ NOTE: Travel funding available for *all* presenters. Please submit by May 7th! We are excited to announce the 6th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers, with the hope of producing better understanding of the behavior of distributed biological systems, as well as new ideas for design of algorithms for engineered or computational networks. BDA 2018 will include presentations on distributed algorithms related to a variety of biological systems, with special attention to communication and coordination in insect colonies (e.g. foraging, navigation, task allocation, construction) and networks in the brain (e.g. learning, decision-making, attention). This is a one-day workshop. =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and an extended abstract of at most 4 pages. Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda20183 Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. ============== TRAVEL SUPPORT ============== This year, we will provide financial support for all our presenters. Specifically, for each selected presentation, we will pay for an economy class return flight/train to London (up to 1,000 EUR) and reimburse the workshop registration fee of one author. =============== IMPORTANT DATES =============== May 7, 2018 (AoE) ? Extended abstract submission deadline May 26, 2018 ? Decision notifications July 23, 2018 ? Workshop =============================== INVITED (PRE-SELECTED) SPEAKERS =============================== Vijay Balasubramanian, U Penn Luca Cardelli, Microsoft Research Roderich Gross, U Sheffield Ana Sendova-Franks, UWE Bristol Damien Woods, Inria (more to come) ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph, CMU Anna Dornhaus, University of Arizona Yuval Emek, Technion Amos Korman, CNRS and University of Paris Diderot Nancy Lynch, MIT Melanie Moses, University of New Mexico Saket Navlakha, Salk Institute Merav Parter, Weizmann Andrea Richa, Arizona State University Nir Shavit, MIT ========================== ORGANIZERS (and PC CHAIRS) ========================== Yuval Emek, Amos Korman, and Saket Navlakha -------------- next part -------------- An HTML attachment was scrubbed... URL: From victor.elvira.arregui at gmail.com Wed May 2 13:20:46 2018 From: victor.elvira.arregui at gmail.com (=?UTF-8?Q?V=C3=ADctor_Elvira?=) Date: Wed, 2 May 2018 13:20:46 -0400 Subject: Connectionists: Two PhD positions in Lille (France): Sequential Bayesian Inference Methods for Complex Dynamical Systems Message-ID: *TOPIC* Sequential Bayesian Inference Methods for Complex Dynamical Systems *BRIEF SUMMARY* Many problems in different scientific domains can be described through statistical models that relate the sequential observed data to a hidden process through some unobserved parameters. In the Bayesian framework, the probabilistic estimation of the unknowns is represented by the posterior distribution of these parameters. However, in most of the realistic models, the posterior is intractable and must be approximated. Importance Sampling (IS)-based algorithms are Monte Carlo methods that have shown a satisfactory performance in many problems of Bayesian inference. In this thesis, we will study IS-based methods for probabilistic inference in complex non-linear high-dimensional systems. More specifically, we will propose novel adaptation schemes in order to overcome current limitations of more traditional IS-based techniques in such a challenging context. Many applications can be benefited from the development of these methodologies, including inference in gene regulatory networks, indoor localization problems, spatial-temporal field reconstruction, among many others. *WHERE AND WHEN* Two fully funded PhD position are available in Lille from September/October 2018 at IMT Lille Douai and laboratory CRIStAL. Earlier start date can be also considered. Lille is a vibrant, young and dynamic city. Lille lies in the heart of the triangle that links three of Europe?s main metropoles: London (80 min), Paris (60 min), and Brussels (35 min). *WITH WHO* The students will be supervised by: - V?ctor Elvira: http://pagesperso.telecom-lille.fr/elvira/ - Fran?ois Septier: http://pagesperso.telecom-lille.fr/septier/ *CANDIDATE PROFILE* We are looking for two motivated and talented PhD students with: - background in signal processing, statistics or applied mathematics - strong mathematical skills - experience in programming, preferably in Matlab and/or Python. * CONTACT * If you have any question and/or want to apply, please contact: - V?ctor Elvira: victor.elvira at imt-lille-douai.fr - Fran?ois Septier: francois.septier at imt-lille-douai.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcel.van.gerven at gmail.com Wed May 2 13:29:19 2018 From: marcel.van.gerven at gmail.com (Marcel van Gerven) Date: Wed, 2 May 2018 19:29:19 +0200 Subject: Connectionists: Assistant Professorship in Cognitive Robotics at the Donders Institute, Radboud University, the Netherlands Message-ID: <556A4BBD-18BC-47B6-A249-477907C68BC8@gmail.com> Assistant Professor of Cognitive Robotics (1.0 FTE) Faculty of Social Sciences Vacancy number: 24.21.18 Application deadline: 16 May 2018 Applications To apply, please use the apply button on the following page: http://www.ru.nl/werken/details/details_vacature_0/?recid=601434 Responsibilities Given the rapidly growing Artificial Intelligence department at Radboud University (Nijmegen, Netherlands), we are seeking an assistant professor in Cognitive Robotics. The department?s ambitions are (1) to develop intelligent machines that show human-level performance in challenging real-world settings, (2) to understand the computational basis of the human mind and (3) to improve the interaction between humans and machines. We seek candidates who conduct research in cognitive robotics using state-of-the-art algorithms. You will be expected to: ? ideally be available as of 1 September 2018; ? perform top-quality research in Robotics and Artificial Intelligence; ? establish and execute an externally funded research programme; ? interact and collaborate with other researchers and specialists in academia and/or industry; ? develop courses in robotics and conduct teaching at undergraduate and post-graduate levels; ? be an inspiring member of our staff with excellent communication skills. Work environment Radboud University Strategically located in Europe, Radboud University is one of the leading academic communities in the Netherlands. A place with a personal touch, where top-flight education and research take place on a beautiful green campus in modern buildings with state-of-art facilities. Faculty of Social Sciences You will be embedded in the Donders Centre for Cognition (DCC), part of the Donders Institute, and the school of Psychology and Artificial Intelligence (AI), both part of the Faculty of Social Sciences. The Donders Institute for Brain, Cognition and Behaviour is home to more than 700 researchers from 35 countries who collaborate in an open community and share the goal of contributing to the advancement of the brain, cognitive and behavioural sciences through investigator-driven research, and improving health, education and technology by applying scientific insights. The objective of the assistent professorship is to develop state-of-the-art AI research of international standing and to contribute to the teaching, guiding students to grow in insight, skill set and future perspective. The AI department has access to excellent facilities such as a computing cluster, robot lab, a virtual reality lab, brain imaging (EEG/MEG/MRI/TMS), behavioural labs, and a technical support group. What we expect from you ? a PhD degree in Robotics, Artificial Intelligence, Computer Science or a related discipline and post-doctoral experience; ? excellent track record in scientific research, as evidenced by publications in academic journals; ? proven ability to provide inspiring teaching in English; ? Dutch university teaching qualification or the willingness to obtain one; ? experience in the acquisition of external funding and an entrepreneurial mindset; ? ability to work with others in a team. What we have to offer ? employment: 1.0 FTE; ? in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; ? you will be appointed as an Assistant Professor (maximum gross monthly salary of ?4.757,- based on a 38-hour working week, scale 11); ? the duration of the tenure track will depend on your expertise and experience; ? you will be classified as an Assistant Professor (Universitair docent), Level 2 in the Dutch university job-ranking system (UFO); ? you will be able to make use of our Dual Career Service where our Dual Career Officer will assist with family related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation. Are you interested in our excellent employment conditions? Other Information The Faculty of Social Sciences is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Further information on: Artificial Intelligence Further information on: Research, Understanding mind and brain Further information on: Faculty of Social Sciences -------------- next part -------------- An HTML attachment was scrubbed... URL: From tj at cs.cornell.edu Wed May 2 16:44:47 2018 From: tj at cs.cornell.edu (Thorsten Joachims) Date: Wed, 2 May 2018 20:44:47 +0000 Subject: Connectionists: CausalML Workshop at ICML / IJCAI / AAMAS 2018 Message-ID: ICML / IJCAI / AAMAS 2018 Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML) Many of the most impactful applications of machine learning are not just about prediction, but are about putting learning systems in control of selecting the right action at the right time. Examples of such systems range from search engines that act by displaying a ranking, to medical decision support systems, recommender systems, ad placement systems, conversational systems, automated trading platforms, computer games, and cyber-physical systems like self-driving cars. This focus on acting requires some causal understanding of the world, since actions are interventions that change the distribution of data unlike in standard prediction problems. This gives rise to challenging counterfactual and causal prediction problems. However, causality is only a means to an end - namely being able to take the right actions; one typically does not have the burden of providing strong proofs of causal discovery. We solicit submission of novel research related to all aspects of causal inference, counterfactual prediction, and autonomous action. This includes, but is not limited to, the following topics: - Predicting counterfactual outcomes - Estimation of (conditional) average treatment effects - Contextual bandit algorithms and on-policy learning - Batch/offline learning from bandit feedback - Off-policy evaluation and learning - Interactive experimental control vs. counterfactual estimation from logged experiments - Online A/B-testing vs. offline A/B-testing - De-biasing observational data and feedback cycles - Fairness of actions and causal aspects of fairness - Applications in online systems (e.g. search, recommendation, ad placement) - Applications in physical systems (e.g. cars, smart homes) - Applications in medicine (e.g. personalized treatment, clinical trials) We suggest extended abstracts of 2 pages in ICML format, but no specific format is enforced. A maximum of 8 pages will be considered. References will not count towards the page limit. PDF files only. At the discretion of the organizers, accepted contributions will be assigned slots as contributed talks and others will be presented as posters. The deadline for submissions is May 16, 2018 via https://sites.google.com/site/faim18wscausalml/ As part of the workshop, we are organizing a CrowdAI competition on learning from logged contextual bandit feedback with non-uniform action-selection propensities. The data is provided by Criteo, and a separate announcement is forthcoming. The winners will be invited to present their approach at the workshop. Adith Swaminathan (Microsoft Research) Clement Calauzenes (Criteo) Nathan Kallus (Cornell) Philip Thomas (UMass Amherst) Thorsten Joachims (Cornell) --- Thorsten Joachims Chair, Department of Information Science Professor, Department of Computer Science Cornell University http://www.joachims.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From education at humanbrainproject.eu Thu May 3 06:13:26 2018 From: education at humanbrainproject.eu (education at humanbrainproject.eu) Date: Thu, 3 May 2018 12:13:26 +0200 Subject: Connectionists: Call for applications: HBP School - The Brain Simulation Platform of the Human Brain Project, 17-21 September, Palermo, Italy Message-ID: <5A499BFC-3AD7-470D-B860-38EF32D2F71E@humanbrainproject.eu> HBP School ? The Brain Simulation Platform of the Human Brain Project 17-21 September 2018 Palermo, Italy Application deadline: 11 July 2018 Further information and application: https://education.humanbrainproject.eu/web/hbp-school-the-brain-simulation-platform/ This School will introduce participants to the Brain Simulation Platform (BSP) of the Human Brain Project (HBP), with the main aim to train users on how to exploit the possibilities offered by the Platform to implement cellular level computational models, to use High Performance Analytics and Computing Platform systems to configure and run a simulation, and to visualise/analyse the results. Both short lectures and longer afternoon activities will be delivered at a basic and intermediate level. Through tutorials and hands-on activities, attendees will learn how to interact with the BSP to carry out their own research, to set up and manage a data-driven collaborative project, or to use the BSP to interact with the HBP Neuroinformatics Platform. Participants will be encouraged to introduce new ideas and suggest ways to use their original experimental data/techniques to implement/use the multiscale neural model they would like to investigate. Application is open to the entire student community and early career researchers, regardless of whether they are affiliated with the Human Brain Project or not. Applications from young female investigators are highly encouraged. A maximum of 50 participants will be selected by the Scientific Chair and the HBP Education Programme in a competitive selection process based on academic merit. Participants are required to submit an abstract on their current research, a CV and a motivation letter with their application. Applicants selected for participation will be informed within three weeks after the application deadline. Participation fee: 400 ? The fee does not include travel and accommodation. Fees will be collected after participants have been selected. Speakers and topics confirmed: Michele Migliore: Welcome and introduction to the HBP School Italian National Research Council (CNR), Italy Luca Leonardo Bologna: First steps into the Brain Simulation Platform (BSP) Italian National Research Council (CNR), Italy Annapaola Santarsiero: The Collaboratory EPFL, Switzerland Luca Leonardo Bologna, Rosanna Migliore: Hands-on: Electrophysiological features extraction Italian National Research Council (CNR), Italy Michele Migliore: Scientific drive: Single cell modelling Italian National Research Council (CNR), Italy Carmen Alina Lupascu: Single cell model optimisation: Algorithms and methods Italian National Research Council (CNR), Italy Carmen Alina Lupascu, Rosanna Migliore: Hands-on session: Build your own cell model Italian National Research Council (CNR), Italy Armando Romani: Scientific drive: Circuit model, the Hippocampus EPFL, Switzerland Jean-Denis Courcol: Circuit modelling pipeline EPFL, Switzerland Armando Romani, Jean-Denis Courcol Hands-on: Circuit analysis EPFL, Switzerland Felix Sch?rmann: Technical drive: The architecture of the BSP EPFL, Switzerland Michael Hines: Technical drive: Using NEURON+Python for parallel simulations Yale School of Medicine, USA Carmen Alina Lupascu, Michael Hines: Hands-on: Implement and run NEURON on the Collaboratory Italian National Research Council (CNR), Italy, Yale School of Medicine, USA Felix Sch?rmann: The science behind the Human Brain Project EPFL, Switzerland Carmen Alina Lupascu: Technical drive: Interacting with High Performance Computing (HPC) systems Italian National Research Council (CNR), Italy Michele Migliore: How to write an HPC proposal: Success stories Italian National Research Council (CNR), Italy We are looking forward to seeing you at the HBP School on the HBP Brain Simulation Platform in Palermo, Italy! The HBP Education Programme Office team Theresa Rass HBP Education Programme Project Assistant Medical University Innsbruck M?llerstra?e 59, 6020 Innsbruck, Austria Phone Office: +43 512 9003 71246 Mobile Phone: +43 676 871672246 Email: theresa.rass at icloud.com Follow us on Twitter, Facebook and LinkedIn! Keep up with the Education Programme?s latest news, event information, job offers, videos and more. Share our news with your friends and colleagues to help spreading our education and training opportunities throughout the international research community. Where to follow: Twitter: @HBP_Education Facebook: @hbpeducation LinkedIn: HBP Education Programme -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.humphries at manchester.ac.uk Fri May 4 10:50:12 2018 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Fri, 4 May 2018 14:50:12 +0000 Subject: Connectionists: Fully-funded UK/EU PhD studentship in computational neuroscience Message-ID: <110733_1525446604_w44FA2oE110794_7E954275ED82B9468C2C731FB72522F5013E0D5B6C@MBXP09.ds.man.ac.uk> A fully-funded EU/UK PhD studentship is available in the lab of Prof Mark Humphries at the University of Nottingham, on a project entitled "Inferring the connectome using voltage imaging". This project will develop computational techniques to accurately infer wiring between neurons from the next generation of imaging techniques that directly record neuron voltages. The project will combine development of algorithms, simulations of neural circuits as test-beds, and analysis of real imaging data from neural populations. For a primer on the problem of finding the wiring between neurons, read our piece here: https://medium.com/the-spike/mindlessly-mapping-the-brain-1dec092a404d Find out more about the lab and its interests here: https://www.humphries-lab.org/ More details, eligibility, and application instructions here: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=97729 To discuss this or other projects, please contact Prof Mark Humphries (mark.humphries at nottingham.ac.uk). Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience humphries-lab.org [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries Public blog: https://medium.com/the-spike -------------- next part -------------- An HTML attachment was scrubbed... URL: From zfalomir at gmail.com Fri May 4 13:30:08 2018 From: zfalomir at gmail.com (Zoe Falomir) Date: Fri, 4 May 2018 19:30:08 +0200 Subject: Connectionists: QR'18 -- Deadline Extended to 11 May Message-ID: Dear all, due to several requests, the deadline has been extended till May 11. So, you still have time to update your papers or submit new ones! Note also that QR has been scheduled finally to take place on Friday 13. Please, widespread this call into your networks! And all the best, Zoe ===================================================================== QR?18 ? 31st International Workshop on Qualitative Reasoning *NEW* Extended Deadline: 11 May LAST CALL FOR PAPERS ===================================================================== Co-located at IJCAI-ECAI-18, Stockholm, Sweden, *NEW* Confirmed date: Friday July 13, 2018 ====================================================================== Web Page: http://homepages.abdn.ac.uk/pang.wei/pages/QR2018/index.html ====================================================================== INTRODUCTION ------------ The Qualitative Reasoning (QR) community develops qualitative representations to understand the world from incomplete, imprecise, or uncertain data. Our qualitative models span natural systems (e.g., physics, biology, ecology, geology), social systems (e.g., economics, cultural decision-making), cognitive systems (e.g., conceptual learning, spatial reasoning, intelligent tutors, robotics), and more. The QR community includes researchers in Artificial Intelligence, Engineering, Cognitive Science, Applied Mathematics, and Natural Sciences, commonly seeking to understand, develop, and exploit the ability to reason qualitatively. This broadly includes: * Developing new formalisms and algorithms for qualitative reasoning. * Building and evaluating predictive, prescriptive, diagnostic, or explanatory qualitative models in novel domains. * Characterizing how humans learn and reason qualitatively about the (physical) world with incomplete knowledge. * Developing novel, formal representations to describe central aspects of our world: time, space, change, uncertainty, causality, and continuity. TOPICS ------ * Qualitative modeling in physical, biological and social sciences, and in engineering. * Representations and techniques for QR. * Methods that integrate QR with other forms of knowledge representation and computational approaches, including quantitative and semi-quantitative methods and machine learning. * Using QR for diagnosis, design, and monitoring of physical or biological systems. * Applications of QR, including education, science, and engineering. * Cognitive models of QR, including the use of existing QR formalisms for cognitive modeling and results from other areas of cognitive science for qualitative reasoning. * Using QR in understanding language, decision-making, sketches, images, and other kinds of signals and data sources. * Formalization, axiomatization, and mathematical foundations of QR. IMPORTANT DATES --------------- * Submissions deadline: **May 11, 2018** * Author notification: May 24-29, 2018 * Early registration date: **May 31, 2018** * Camera-ready paper: June 15, 2018 PAPER SUBMISSION ---------------- Three types of submissions are sought: theory, application, and demo oriented: * Theory contributions present novel ideas regarding representation and reasoning, and position this result in the context of known QR theory. * Application contributions present the use and evaluation of software implementing QR theory in actual real-world contexts. Evaluations can range from technology oriented (e.g. address software functioning in operational contexts) to human oriented (e.g. address usability or stakeholders and market related issues). * Demos focus on (novel) implementations of QR theory in software. They can be proof of concepts, but also mature products. Contributions typically address the extras needed to realize the implementation. Format: * Submissions must be in PDF format and not exceed 8 pages. * Submissions should be formatted according to the IJCAI author guidelines. * Submissions do not need to be anonymized; the author list and the author publications should read as they will in the camera-ready copy. Review Process: All submissions will be evaluated and selected according to their quality, significance, originality, and potential to generate discussion. Each contribution will be reviewed by at least two referees from the QR2018 Program Committee. Papers may be accepted for either oral or poster presentation. Papers should be submitted through the EasyChair platform at: https://easychair.org/conferences/?conf=qr18 PUBLICATION ----------- The accepted papers will be published as a collection of working papers. The format of the publication will be discussed with the authors after acceptance (eg. CEUR-ws.org or on-line without ISSN). ORGANIZATION ------------ George M. Coghill (primary contact) Department of Computing Science University of Aberdeen, UK g.coghill at abdn.ac.uk Zoe Falomir Bremen Spatial Cognition Centre (BSCC) Faculty of Computer Science and Mathematics University of Bremen, Germany zfalomir at uni-bremen.de Wei Pang Department of Computing Science University of Aberdeen, UK pang.wei at abdn.ac.uk PROGRAM COMMITTEE ----------------- Nuria Agell, ESADE - Ramon Llull University, Spain Jos? V. Alvarez, Universidad de Valladolid, Spain Elena Andonova, New Bulgarian University, Bulgaria Mehul Bhatt, University of Bremen, Germany Gautam Biswas, Vanderbilt University, USA Stefano Borgo, ISTC CNR, Italy Elizabeth Bradley, University of Colorado, USA Bert Bredeweg, University of Amsterdam, The Netherlands Ivan Bratko, University of Ljubljana, Slovenia Tony Cohn, University of Leeds, UK Maria Chang, IBM, USA Juan J. Flores, Universidad Michoacana, Mexico Ken Forbus, Northwestern University, USA Christian Freksa, University of Bremen, Germany Scott Friedman, Smart Information Flow Technologies, USA Joanna Goli?ska-Pilarek, University of Warsaw, Poland Luis Gonzalez-Abril, Universidad de Sevilla, Spain Hans Guesguen, Massey University, New Zealand Tomoya Horiguchi, Kobe University, Japan Liliana Ironi, IMATI - CNR, Italy Kamal Kansou, Centre de recherche Angers-Nantes, France Alexandra Kirsch, University of T?bingen, Germany Johan de Kleer, Palo Alto Research Center, USA Matthew Klenk, Palo Alto Research Center, USA Kate Lockwood, University of St. Thomas, USA Andrew Lovett, Northwestern University, USA Emilio Mu?oz-Velasco, University of Malaga, Spain Lled? Museros, University Jaume I, Spain Chris Price, Aberystwyth University, Wales, UK M?nica S?nchez, Universitat Polit?cnica de Catalunya, Spain Paulo Santos, Centro Universitario FEI, Brasil Qiang Shen, Aberystwyth University, Wales, UK Carl Schultz, Aarhus University, Denmark Steven Schockaert Cardiff University, UK Peter Struss, Technical University M?nchen, Germany Kazuko Takahashi, Kwansei Gakuin University, Japan Stefania Tentoni, IMATI - CNR, Pavia, Italy Louise Trav?-Massuy?s, LAAS-CNRS, France Jan O. Wallgr?n, Penn State University, USA Diedrich Wolter, University of Bamberg, Germany Jure Zabkar, University of Ljubljana, Slovenia -- ------------------------------------------------------------ Dr.-Ing. Zoe Falomir Llansola https://sites.google.com/site/zfalomir/home Twitter at @zfalomir ------------------------------------------------------------ This e-mail (including any attachments) is confidential and it's content is only for the exclusive use of the addressee/recipient. If you are not an intended recipient or an authorised representative of an intended recipient, you are prohibited from using, copying or distributing the information in this e-mail or its attachments. If you have received this e-mail by error, please notify the sender immediately by replying to the sender. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at aalto.fi Fri May 4 13:39:59 2018 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Fri, 4 May 2018 17:39:59 +0000 Subject: Connectionists: Postdoc in machine learning for inferring chemical toxicity, FCAI, Helsinki and Janssen Pharmaceutica Message-ID: <16683900-9F90-4C92-BC2D-4263A7361EFF@aalto.fi> We are looking for a postdoctoral researcher with expertise in machine learning to work on an exciting collaboration project between Prof. S. Kaski?s team in Finnish Center for Artificial Intelligence FCAI at Aalto University and Janssen Pharmaceutica. The exciting research problem is to learn to infer toxicity of chemicals based on the chemical structure, and the great opportunity is that we have unique data for the learning. This is an outstanding opportunity to both develop new probabilistic machine learning methods and to gain necessary skills to place yourself for success both in the pharmaceutical industry as well as in academia. Janssen Pharmaceutica and FCAI support and expect publication of the outcome of this work in top peer-reviewed journals and scientific conferences. Deadline: May 28, 2018 Full details: http://www.aalto.fi/en/about/careers/jobs/view/1854/. -- Samuel Kaski, Academy Professor Department of Computer Science, Aalto University P.O. Box 15400, FI-00076 Aalto, Finland; https://people.aalto.fi/new/samuel.kaski Tel: +358 50 3058694 From filippombianchi at gmail.com Fri May 4 14:41:48 2018 From: filippombianchi at gmail.com (filippo bianchi) Date: Fri, 4 May 2018 20:41:48 +0200 Subject: Connectionists: [CfP] SI: Issue: Non-Iterative Approaches and Their Applications -- Cognitive Computation Message-ID: *********** Call for Papers *********** *Special Issue: Non-Iterative Approaches and Their Applications* on *Cognitive Computation* (Springer) ----------------------------------------------------------------- Optimization, which plays a central role in learning, has received considerable attention from academics, researchers, and domain workers. Many optimization problems in machine learning can be tackled with non-iterative approaches, which can be presented in closed-form manner. Those methods are in general computationally faster than iterative solutions. Even though non-iterative methods have attracted much attention in recent years, there exists a performance gap when compared with older methods and other competing paradigms. This special session aims to bridge this gap. The first target of this special issue is to present the recent advances of non-iterative solutions in learning. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free iterative optimization techniques. Besides the dissemination of the latest research results on non-iterative algorithms, it is also expected that this special session will cover some practical applications, present some new ideas and identify directions for future studies. Researchers will be invited to submit innovative works or comparative studies with both iterative and non-iterative methods. Typical paradigms include (but not limited to) random vector functional link (RVFL), echo state networks (ESN), extreme learning machines (ELM), kernel ridge regression (KRR), random forests (RF) and so on. *Topics covered:* - Methods with and without randomization - Regression, classification and time series analysis - Dimensionality reduction - Spectral methods - Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. - Feedforward, recurrent, multilayer, deep and other structures. - Ensemble learning - Moore-Penrose pseudo inverse, SVD and other solution procedures. - Non-iterative methods for large-scale problems with and without kernels - Theoretical analysis of non-iterative methods - Comparative studies with competing iterative methods - Applications of non-iterative solutions in domains such as power systems, biomedical, finance, signal processing, big data and all other areas *Journal description* Cognitive Computation, Springer (https://link.springer.com/journal/12559) is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles focusing on original basic and applied work involving bio-inspired computational accounts of all aspects of natural and artificial cognitive systems. Cognitive Computation has an Impact Factor of 3.44. *Important Dates* - Submissions Deadline *1st July 2018* - First notification of acceptance 1st Nov 2018 - Submission of revised papers 1st Jan 2019 - Final notification to the authors 1st Mar 2019 - Submission of final/camera-ready papers 1st April 2019 - Publication of special issue 2019 *Paper Submission* All papers should follow the manuscript preparation requirements for the Springer Cognitive Computation submissions (see http://www.springer.com/12559). The authors are requested to submit their manuscripts via the online submission manuscript system, available at http://www.editorialmanager.com/cogn/. During the first step of the submission, authors should select as Article Type ?*S.I. Non-Iterative Approaches and Their Applications*?. For further (technical) questions, please contact the Editor-in-Chief: ahu at cs.stir.ac.uk. *Organizers* - Dr P. N. Suganthan, Nanyang Technological University, Singapore. epnsugan at ntu.edu.sg - Dr. Filippo Maria Bianchi, UiT the Arctic University of Norway, Troms?, filippo.m.bianchi at uit.no ------------------------------------------------------------ ------------------------------ Filippo Maria Bianchi, PhD. *Postdoctoral fellow at Machine Learning group,Department of Physics and Technology,UiT The Arctic University of Norway.Homepage: https://sites.google.com/view/filippombianchi/home * -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at salk.edu Fri May 4 15:35:57 2018 From: navlakha at salk.edu (Saket Navlakha) Date: Fri, 4 May 2018 14:35:57 -0500 Subject: Connectionists: Biological Distributed Algorithms 2018 -- final call Message-ID: <1ECB1431-A290-4004-BFDA-9BDEE84BCBB9@salk.edu> NOTE: Travel funding available for *all* presenters. Please submit by May 7th! ================================================================ The 6th Workshop on Biological Distributed Algorithms (BDA 2018) July 23, 2018 in London, UK. Co-located with PODC 2018 http://www.snl.salk.edu/~navlakha/BDA2018/ ================================================================ We are excited to announce the 6th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers, with the hope of producing better understanding of the behavior of distributed biological systems, as well as new ideas for design of algorithms for engineered or computational networks. BDA 2018 will include presentations on distributed algorithms related to a variety of biological systems, with special attention to communication and coordination in insect colonies (e.g. foraging, navigation, task allocation, construction) and networks in the brain (e.g. learning, decision-making, attention). This is a one-day workshop. =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and an extended abstract of at most 4 pages. Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda20183 Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. ============== TRAVEL SUPPORT ============== This year, we will provide financial support for all our presenters. Specifically, for each selected presentation, we will pay for an economy class return flight/train to London (up to 1,000 EUR) and reimburse the workshop registration fee of one author. =============== IMPORTANT DATES =============== May 7, 2018 (AoE) ? Extended abstract submission deadline May 26, 2018 ? Decision notifications July 23, 2018 ? Workshop =============================== INVITED (PRE-SELECTED) SPEAKERS =============================== Vijay Balasubramanian, U Penn Luca Cardelli, Microsoft Research Roderich Gross, U Sheffield Ana Sendova-Franks, UWE Bristol Damien Woods, Inria (more to come) ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph, CMU Anna Dornhaus, University of Arizona Yuval Emek, Technion Amos Korman, CNRS and University of Paris Diderot Nancy Lynch, MIT Melanie Moses, University of New Mexico Saket Navlakha, Salk Institute Merav Parter, Weizmann Andrea Richa, Arizona State University Nir Shavit, MIT ========================== ORGANIZERS (and PC CHAIRS) ========================== Yuval Emek, Amos Korman, and Saket Navlakha -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Fri May 4 16:32:03 2018 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Fri, 4 May 2018 21:32:03 +0100 Subject: Connectionists: Call for Oral Presentations, Poster and Participation: 5th International Synthetic & Systems Biology Summer School - SSBSS 2018, Siena - Italy, July 25-29, Deadline: May 31 Message-ID: 5th International Synthetic & Systems Biology Summer School - SSBSS 2018 July 25-29, 2018 - Certosa di Pontignano - Siena - Tuscany - Italy https://ssbss2018.icas.xyz ssbss at icas.xyz DEADLINES: Application: May 31 Oral Presentation/Poster Submission: May 31 Notification of Decision for Oral/Poster Presentation: June 10 https://ssbss2018.icas.xyz/registration/ CONFIRMED KEYNOTE SPEAKERS: * PATRICK YIZHI CAI, University of Manchester, UK * RITA CASADIO, University of Bologna, Italy * BARBARA DI VENTURA, University of Freiburg, Germany * JOHN GLASS, J. Craig Venter Institute, USA * MANUELA HELMER CITTERICH, University of Rome Tor Vergata, Italy * PHILIPP HOLLIGER, MRC Laboratory of Molecular Biology, Cambridge, UK * DAGMAR IBER, SIB & ETH Zurich, Switzerland * JONATHAN KARR Icahn School of Medicine at Mount Sinai, USA * JENS NIELSEN, Chalmers University of Technology, Sweden * LAURA RIVA, Wellcome Trust Sanger Institute, Cambridge, UK * KELLY V. RUGGLES, Department of Medicine, New York University, USA * PAMELA SILVER, Harvard Medical School, Dept. of Systems Biology, Harvard University, USA * HARRIS WANG, Columbia University, USA * RON WEISS, MIT, USA * LUCA ZAMMATARO, Yale University, USA CONFIRMED SPEAKERS: * Barbara Di Camillo, University of Padova, Italy * Cristina Di Primio, Scuola Normale Superiore * Simone Furini, University of Siena, Italy * Emanuele Domenico Giordano, University of Bologna, Italy * Rodrigo Ledesma-Amaro, Imperial College London, UK * Simonetta Lisi, Scuola Normale Superiore, Italy * Laura Marchetti, Italian Institute of Technology, Italy * Velia Siciliano, Italian Institute of Technology, Italy * CALL FOR POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster and the talk sessions: https://ssbss2018.icas.xyz/registration/ * VENUE & ACCOMMODATION: The venue of SSBSS 2018 will be The Certosa di Pontignano - Siena The Certosa di Pontigniano Loc. Pontignano, 5 - 53019, Castelnuovo Berardenga (Siena) - Tuscany, Italy Phone: +39-0577-1521104 E: info at lacertosadipontignano.com W: http://www.lacertosadipontignano.com/ A few kilometers 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://acdl2018.icas.xyz/venue/ * STEP 1/2, REGISTRATION: https://ssbss2018.icas.xyz/registration/ * STEP 2/2, ACCOMMODATION, MEALS & TRANSFER PISA AIRPORT-COURSE VENUE (Certosa di Pontignano): https://ssbss2018.icas.xyz/accommodation/ https://ssbss2018.icas.xyz/wp-content/uploads/sites/2/2017/11/SSBSS-accommodation-form-r2.pdf 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 Synthetic & Systems Biology Summer School the experience of a lifetime. See you in Tuscany in July! The SSBSS 2018 Directors & Organizing Committee. https://ssbss2018.icas.xyz ssbss at icas.xyz * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From trentin at dii.unisi.it Fri May 4 18:41:33 2018 From: trentin at dii.unisi.it (Edmondo Trentin) Date: Sat, 5 May 2018 00:41:33 +0200 Subject: Connectionists: Reduced student registration fee: ANNPR 2018 (Siena, Italy) - 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition Message-ID: Thanks to the generosity of our Sponsors, a significantly reduced early-registration fee (Student Basic Package) is now made available to students interested in attending the forthcoming ANNPR2018 in Siena (Italy). The paper submission deadline is extended accordingly to May 20, 2018. All the details at http://annpr2018.diism.unisi.it/ where you can also find the new list of our Invited Speakers. Best, Edmondo ======================================== 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018) September 19-21, 2018 DIISM, Universit? di Siena, Tuscany (Italy) URL: http://annpr2018.diism.unisi.it/ Sponsored by the International Association for Pattern Recognition (IAPR) New Important Dates Paper submission (extended): May 20, 2018 Notification of acceptance: June 15, 2018 Camera ready due: June 25, 2018 Early registration: June 30, 2018 Workshop: Sept. 19-21, 2018 (Wed to Fri) The Workshop proceedings will be published in the Springer LNAI series ANNPR 2018 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, partially supervised, and unsupervised learning - Feed-forward, recurrent, and competitive neural nets - Kernel machines - Hierarchical modular architectures and hybrid systems - Combination of neural networks and Hidden Markov models - Multiple classifier systems and ensemble methods - Probabilistic graphical models - Deep architectures Applications to Pattern Recognition - Image processing and segmentation - Handwritten recognition and Document analysis - Sensor-fusion and multi-modal processing - Feature extraction, dimensionality reduction - Clustering and vector quantization - Speech and speaker recognition - Data, text, and web mining - Bioinformatics/Cheminformatics ANNPR2018 is organized by the Technical Committee 3 (IAPR TC3) on Neural Networks & Computational Intelligence of the International Association for Pattern Recognition (IAPR). As such, we particularly encourage submissions that fit the Manifesto and the research directions of the TC3 (see http://iapr-tc3.diism.unisi.it/Research.html) Paper Submission: Perspective Authors shall submit their paper in Springer LNCS/LNAI format. Instructions for Authors, LaTeX templates, etc. are available at the Springer LNCS/LNAI web-site (see http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines). The maximum paper length is 12 pages. Submission of a paper constitutes a commitment that, if accepted, at least one of the Authors will complete an early registration to the workshop. On-line submission via EasyChair will be made available in due time through the ANNPR2018 website. Confirmed Invited Speakers: Marco Gori (University of Sienna) Marcello Pelillo (University of Venice) Thilo Stadelmann (ZHAW School of Engineering) For more information, please visit us at: http://annpr2018.diism.unisi.it/ Do not hesitate to contact the ANNPR2018 Chairs for any inquiries. ANNPR2018 Chairs Luca Pancioni, Universit? di Siena, Italy Friedhelm Schwenker, Ulm University, Germany Edmondo Trentin, Universit? di Siena, Italy ----------------------------------------------- Edmondo Trentin, PhD Dip. Ingegneria dell'Informazione e Scienze MM. V. Roma, 56 - I-53100 Siena (Italy) E-mail: trentin at dii.unisi.it Voice: +39-0577-234636 Fax: +39-0577-233602 WWW: http://www.dii.unisi.it/~trentin From shobeir at gmail.com Fri May 4 23:36:38 2018 From: shobeir at gmail.com (Shobeir Fakhraei) Date: Fri, 4 May 2018 20:36:38 -0700 Subject: Connectionists: [Final CFP] ACM KDD MLG'18 - 14th International Workshop on Mining and Learning with Graphs (London, UK) Message-ID: *August 20, 2018London, UK (co-located with KDD 2018)http://www.mlgworkshop.org/2018/ Deadlines: (Abstract) May 8, 2018 - (Submission) May 15, 2018Keynotes:Tanya Berger-Wolf (University of Illinois Chicago)Luna Dong (Amazon)Christos Faloutsos (Carnegie Mellon University)Kristina Lerman (University of Southern California - ISI)Sujith Ravi (Google Research)Taha Yasseri (University of Oxford)Call for papers:This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances graph analysis. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for mining and learning with graphs.To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications and empirical studies. As an example, the growth of user-generated content on blogs, microblogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of social media. We encourage submissions on theory, methods, and applications focusing on a broad range of graph-based approaches in various domains.Topics of interest include, but are not limited to:Theoretical aspects: - Computational or statistical learning theory related to graphs- Theoretical analysis of graph algorithms or models- Sampling and evaluation issues in graph algorithms- Analysis of dynamic graphsAlgorithms and methods: - Graph mining- Probabilistic and graphical models for structured data- Heterogeneous/multi-model graph analysis- Network embedding models- Statistical models of graph structure- Combinatorial graph methods- Semi-supervised learning, active learning, transductive inference, and transfer learning in the context of graphsApplications and analysis: - Analysis of social media- Analysis of biological networks- Knowledge graph construction- Large-scale analysis and modelingAll papers will be peer reviewed, single-blinded. We welcome many kinds of papers, such as, but not limited to: - Novel research papers- Demo papers- Work-in-progress papers- Visionary papers (white papers)- Appraisal papers of existing methods and tools (e.g., lessons learned)- Relevant work that has been previously published- Work that will be presented at the main conferenceAuthors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, no more than 8 pages long ? shorter papers are welcome ? and formatted according to the standard double-column ACM Proceedings Style . The accepted papers will be published on the workshop?s website and will not be considered archival for resubmission purposes. Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and some set will also be chosen for oral presentation and considered for $1,000 best paper award sponsored by Kyndi.Timeline:Abstract Deadline: May 8, 2018Submission Deadline: May 15, 2018Notification: June 8, 2018 Final Version: June 28, 2018Workshop: August 20, 2018Submission instructions can be found on http://www.mlgworkshop.org/2018/ Please send enquiries to chair at mlgworkshop.org Organizers:Shobeir Fakhraei (University of Southern California, ISI)Danai Koutra (University of Michigan, Ann Arbor)Julian McAuley (University of California, San Diego) Bryan Perozzi (Google Research)Tim Weninger (University of Notre Dame)Program Committee:Aris Anagnostopoulos (Sapienza University of Rome), Ana Paula Appel (I.B.M.), Miguel Araujo (Feedzai), Arindam Banerjee (University of Minnesota), Christian Bauckhage (Fraunhofer IAIS), Ulf Brefeld (Leuphana Universit?t L?neburg), Ivan Brugere (University of Illinois at Chicago), Aaron Clauset (University of Colorado at Boulder), Alessandro Epasto (Google), Emilio Ferrara (University of Southern California), Thomas G?rtner (University of Nottingham), David Gleich (Purdue University), Mohammad Hasan (Indiana U.?Purdue U. Indianapolis), Jake Hofman (Microsoft Research), Larry Holder (Washington State University), Bert Huang (Virginia Tech), Kristian Kersting (TU Darmstadt), Stefano Leucci (ETH Zurich), Fred Morstatter (University of Southern California), Vagelis Papalexakis (University of California Riverside), Ali Pinar (Sandia National Laboratories), Aditya Prakash (Virginia Tech), Arti Ramesh (Binghamton University), Jan Ramon (INRIA), Xiang Ren (University of Southern California), Neil Shah (Snap Inc.), Sucheta Soundarajan (Syracuse University), Yizhou Sun (University of California, Los Angeles), Acar Tamersoy (Symantec Research Labs), Jiliang Tang (Michigan State University), Hanghang Tong (Arizona State University), Stefan Wrobel (Fraunhofer IAIS), Xin-Zeng Wu (Information Sciences Institute), Zhongfei Zhang (Binghamton University), Elena Zheleva (University of Illinois at Chicago)To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list or follow the twitter account: https://twitter.com/mlgworkshop Find a PDF copy of this CFP here: http://www.mlgworkshop.org/2018/MLG2018_CFP.pdf We look forward to seeing you at the workshop!* -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.vanRossum at nottingham.ac.uk Sat May 5 08:27:32 2018 From: Mark.vanRossum at nottingham.ac.uk (Mark van Rossum) Date: Sat, 5 May 2018 13:27:32 +0100 Subject: Connectionists: POSTDOC Computational Neuroscience / AI, Nottingham Message-ID: <97949d48-c02a-03b6-32d1-2667f4e69247@nottingham.ac.uk> We are pleased to announce an opening for a postdoc in the lab of Mark van Rossum at the University of Nottingham. In a EPSRC/ESRC grant on Human-like Computation, we are investigating in the computational role of sleep in cognitive processing and visual reasoning. In particular we are interested in how REM and slow-wave sleep phases map onto processing stages of neurally inspired AI, thereby trying to circumvent some limitations of current deep learning approaches. This theoretical research is complemented by sleep experiments carried out by the group of Prof Penny Lewis in Cardiff. The successful candidate will have a PhD (or submitted his/her thesis) and have research experience in either computational neuroscience or machine learning, or a combination of these. This post is initially a fixed-term contract for a period of 12 months. As Nottingham is currently creating a Centre for Computational Neuroscience, long-term independent research positions will open up next year. Informal enquiries may be addressed to Mark van Rossum. mark.vanrossum-at-nottingham.ac.uk Formal applications should be made via the website: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI146218 -- Mark van Rossum, Professor, Schools of Psychology and Maths, U Nottingham Psych Bldg Rm LG.19, 44-115-951 5316, 44-7722049644 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. From rampon at tin.it Sun May 6 16:49:57 2018 From: rampon at tin.it (rampon at tin.it) Date: Sun, 6 May 2018 22:49:57 +0200 (CEST) Subject: Connectionists: DySES 2018: Call for abstract Message-ID: <1633737dc77.rampon@tin.it> dyses2018 : DYSES2018 : Systemic Risk 9-12 Oct 2018 Paris (France) *************************************************************************** ******** PLEASE APOLOGIZE FOR MULTIPLE COPIES ******** *************************************************************************** Dear Colleague, on behalf of the organizing committee, it is a pleasure to announce that the International Conference DySES 2018 - Dynamics of Socio-economic Systems: Systemic Risk will be held in Paris, at the University Paris 1-Sorbonne, October 9th-12th 2018 . It will be an International Conference that will give scientists and practitioners coming from many countries the opportunity to meet and exchange experiences and ideas concerning the themes of Systemic Risk in many frameworks: ? Systemic risk (general) ? Risk management ? Stress testing ? Catastrophic risk ? Impact of natural disasters on the economy ? Fragility of financial systems and regulations ? Impact of regulations ? Cyber security ? Aerospace security Methodologies include (but are not limited to): ? Networks ? Complex systems ? Agent based modelling ? Non-linear econometrics ? Multivariate methods ? Self-organized criticality ? Multi-criteria methods ? Soft computing ? Bayesian methods ? Operational research ? Optimization methods It is worth remembering that the previous DySES Conferences were successfully organized in the following venues: DySES 2009: Pinamar, Argentina - DySES 2010: Benevento, Italy - DySES 2012: Ushuaia, Argentina - DySES 2014: Sevilla, Spain - DySES 2016: La Habana, Cuba. We warmly invite you to attend DySES 2018 and to submit an abstract. Important Deadlines Abstract submission: June 15, 2018 Notification of abstract acceptance: June 30, 2018 Early registration: July 21, 2018 Regular registration: August 20, 2018 For further information and updates, please visit http://www.dyses2018.org. Please help us disseminate this announcement among all of your contacts. Welcome to Paris in October! DySES 2018, Organizing Committee Bice Cavallo, University of Naples Federico II Philippe de Peretti, Paris 1 Panth?on-Sorbonne University Biagio Simonetti, University of Sannio Massimo Squillante, University of Sannio Jorgen Vitting Andersen, Paris 1 Panth?on-Sorbonne University Normal 0 14 false false false IT X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabella normale"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-fareast-language:EN-US;} Normal 0 14 false false false IT X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabella normale"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-fareast-language:EN-US;} -------------- next part -------------- An HTML attachment was scrubbed... URL: From lucio.marcenaro at unige.it Mon May 7 05:38:53 2018 From: lucio.marcenaro at unige.it (Lucio Marcenaro) Date: Mon, 7 May 2018 11:38:53 +0200 Subject: Connectionists: PhD positions now available at Joint Doctoral Programme in Interactive and Cognitive Environments Message-ID: PhDs are starting in*November 2018?with a?3?years scholarship*; expiration date for first level applications: *May 15th, 2018*?on the following research areas: * Big-data techniques for crowd behavior analysis in smart environments * Automatic learning of dynamic jamming models for physical layer security in Cognitive Radios * A machine learning approach for interaction detection in egocentric videos The PhD scholarships are available within the Joint Doctoral Programme in Interactive and Cognitive Environments (JD ICE) that is a PhD programme organised by the?Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture at University of Genoa, theCentre for Intelligent Sensing at Queen Mary University of London ?and theIntelligent Systems Lab of the Universidad Carlos III de Madrid . General information Applications are invited for PhD open positions. JD ICE provides PhD training in the fields of multimedia signal processing, data fusion, computer vision, cognitive dynamic systems and machine learning, and offers advanced research projects designed for ambitious students willing to become word-leading researchers. PhD students will benefit from a joint-supervision model and will spend main part of their PhD programme in Genova, Italy with a 12 months (minimum) mobility to the secondary institution. The ISIP40 group, active in the DITEN department in the Faculty of Engineering of the University of Genoa has focused its attention mostly on: * Cognitive Dynamic Systems * Multisensor Signal Processing for Surveillance * Software and Cognitive Radio * Bayesian Object and Situation assessment * Interactive and Cognitive Environments Open positions for PhD (dottorato di ricerca) PhD course starts at the beginning of November 2018; expiration date for first level applications:*May 15th, 2018*in the following research areas: 1. *Big-data techniques for crowd behavior analysis in smart environments*:?this research theme will study novel signal processing techniques based on probabilistic graphical models and dynamic Bayesian networks for understanding dynamics of cognitive systems and learn how to transfer this acquired knowledge; 2. *Automatic learning of dynamic jamming models for physical layer security in Cognitive Radios*:?this research theme will study algorithms and methods for cognitive radio terminals for opportunistic spectrum usage to optimize transmission rate and external attack robustness; 3. *A machine learning approach for interaction detection in egocentric videos*: wearable cameras stand out as one of the most promising devices for the upcoming years, and as a consequence, the demand of computer algorithms to automatically understand the videos recorded with them is increasing quickly. An automatic understanding of these videos is not an easy task, and its mobile nature implies important challenges to be faced, such as the changing light conditions and the unrestricted locations recorded. Applications Applications are invited for PhD open positions, starting at the?November 2018?with ISIP40?research group of the Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genova ? Genova (ITALY). Requirements: 1. *Laurea Vecchio Ordinamento*?or *Laurea Specialistica*?degree for Italian applicants in one of the following fields (or another related field); *Master of Science*?or equivalent degree for applicants from abroad: * Telecommunication Engineering * Electronic Engineering * Information Engineering * IT * Computer Science (or Laurea degree in Informatica) 2. Basic knowledge in the following topics: * Signal Processing * Communication Systems * Pattern Recognition * Image/Video Processing 3. English knowledge (IELTS certificate with minimum marks 6.5) Deadline for applying: Interested applicants must apply no later than *May 15th, 2018*. How to apply? The application is divided into two stages. In the first phase, the interested applicants should send?their complete C.V.?and?two recommendation letters?to Professor Lucio Marcenaro, e-mail: lucio.marcenaro at unige.it In the second phase, applicants whose CV fits with requirements will be encouraged and advised to present an application for the official admission competition at Genoa University online application closing on June 12th, 2018. PhD economic conditions The research grant consists of about 16.5Keuro/year Notes: A complete C.V.?must contain at least the education degrees and the related information, experiences (both academic and non-academic), projects, list of publications, and every other thing you think can be useful If you have not graduated yet, provide some information about the probable graduation date. If you have some publications, you can also send some of the important ones together with your CV. You can also send any other information that you think can be useful and effective for your profile. -- *Lucio Marcenaro, PhD* Assistant Professor Signal Processing & Telecommunications Group Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN) Via all'Opera Pia 11, 16145 Genova (Italy) Ph. +39 010 3532060 |Mob. +39 3482360850 Email: lucio.marcenaro at unige.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc2018 at gmail.com Mon May 7 03:59:28 2018 From: iswc2018 at gmail.com (Maribel Acosta) Date: Mon, 7 May 2018 09:59:28 +0200 Subject: Connectionists: ISWC 2018 - Student Travel Grants Message-ID: *17th International Semantic Web Conference (ISWC 2018)Monterey, California (USA), October 8-12, 2018==== ISWC 2018 STUDENT TRAVEL GRANTS ===http://iswc2018.semanticweb.org/student-travel-grants/ If you are a student interested in attending ISWC 2018, you may be eligible to apply for travel grants to support the costs of travel and lodging. This year, travel grants are funded by the Semantic Web Science Association (SWSA) and the US National Science Foundation (NSF).APPLYING FOR A STUDENT TRAVEL AWARDThe deadline for applying for an ISWC 2018 travel award is August 27th, 2018. Please make sure that you have submitted your application and that your supervisor has sent us a confirmation email by this date.To apply for a grant please follow these steps:Make sure that you are eligible to apply for an ISWC 2018 travel award: You must currently be a student at a higher education institution; and have an ISWC 2018 submission that has been accepted to either the main conference, the doctoral consortium, an ISWC 2018 workshop, the poster/demo session, or the Semantic Web challenge (you may have submissions to more than one of these categories). If there are additional funds available, we will also consider supporting students who do not have papers at the conference.Fill out and submit the ISWC 2018 Student Travel Award Application Form.Ask your supervisor to email iswc.travel.awards at gmail.com , confirming that you are a current student under their supervision and that you will be attending ISWC 2018. The subject of the email should be ?ISWC 2018 Student Travel Award Application Verification for {YOUR NAME}?. The text should read ?I confirm that {YOUR NAME} is a student that is currently under my supervision at {INSTITUTION NAME} and that they will be attending ISWC 2018 to present work that they completed under my supervision. {SUPERVISOR NAME}?Register for ISWC 2018.You will receive a notification by September 10th, 2018 and be allowed to register at an early registration rate.AWARD DETAILSThe exact amount awarded to each student will depend on the needs stated in the application and the kind of submission that they have in ISWC 2018. Preference will be given to students that are first authors on papers accepted to the main conference or the doctoral consortium, followed by those who are first authors on papers accepted to ISWC workshops and the Poster & Demo session. If there are additional funds available, we will also consider supporting students who do not have papers at the conference.Please note that students attending higher education institutions in the U.S. will be eligible for funding provided by the NSF. If your application is approved, to ensure reimbursement per NSF guidelines, you are required to travel with US-flag carriers or on flights ticketed through an US-carrier.This year, we will consider supporting travel companions for attendees with special needs and aim to support a diverse group of students (e.g., gender, nationality, ethnicity, type of institution, geographic location). If you have any questions or would like to discuss your specific requirements please do not hesitate to contact iswc.travel.awards at gmail.com .STUDENT TRAVEL AWARD SPONSORSNational Science Foundation (NSF)Semantic Web Science Association (SWSA)* -------------- next part -------------- An HTML attachment was scrubbed... URL: From asdm at fi.upm.es Mon May 7 14:41:38 2018 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Mon, 7 May 2018 20:41:38 +0200 (CEST) Subject: Connectionists: Thirteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 25th - July 6th, 2018) - Early registration deadline Message-ID: <1342443276.0.1525718498510.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school finishes on June 1st. The summer school will be held in Boadilla del Monte, near Madrid, from June 25th to July 6th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2018. See the last year's ranking at http://bit.ly/2oR00GI Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 25th - June 29th, 2018) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks. Course 6: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. * Week 2 (July 2nd - July 6th, 2018) * 1st session: 9:45-12:45 Course 7: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. Course 8: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From asdm at fi.upm.es Mon May 7 14:41:38 2018 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Mon, 7 May 2018 20:41:38 +0200 (CEST) Subject: Connectionists: Thirteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 25th - July 6th, 2018) - Early registration deadline Message-ID: <1342443276.0.1525718498510.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school finishes on June 1st. The summer school will be held in Boadilla del Monte, near Madrid, from June 25th to July 6th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2018. See the last year's ranking at http://bit.ly/2oR00GI Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 25th - June 29th, 2018) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks. Course 6: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. * Week 2 (July 2nd - July 6th, 2018) * 1st session: 9:45-12:45 Course 7: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. Course 8: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From yves.boubenec at ens.fr Mon May 7 19:47:25 2018 From: yves.boubenec at ens.fr (Yves Boubenec) Date: Tue, 8 May 2018 01:47:25 +0200 Subject: Connectionists: Theory-Experiment postdoctoral position in Paris [coll. Shamma/Boubenec/Ostojic] Message-ID: A theory-experiment postdoctoral position is available at the ?cole Normale Sup?rieure in Paris, on a collaborative project between the group of Shihab Shamma & Yves Boubenec and the team of Srdjan Ostojic. We recently investigated (*) the population-level encoding of target stimuli in the primary auditory cortex of behaving animals during discrimination tasks. Following up on this study, we now aim at investigating the neural bases of auditory flexible categorization in behaving ferrets by combining computational modeling, data-analysis and experimental recordings. The successful applicant will be based at the Laboratoire de Neurosciences Cognitives Computationnelles (LNC2), a highly interactive and dynamic environment situated in central Paris (see https://lnc2.dec.ens.fr/fr/teams/network-dynamics-and-computations). The group of Shihab Shamma & Yves Boubenec where the neurophysiological recordings take place is located next door (https://lsp.dec.ens.fr). The ideal candidate should be a computational neuroscientist with strong interest in experimental neuroscience, or the other way round. Starting dates are flexible. The position is for two years. Candidates should send a letter of motivation (2 pages max), the contact information of 2 or more referees and their CVs to boubenec at ens.fr _BEFORE May 23rd, 2018_. (*) Bagur, S. , Averseng, M., Elgueda, D., David, S., Fritz, J., Yin, P., Shamma, S., Boubenec, Y.* & Ostojic, S.* Go/No-Go task engagement enhances population representation of target stimuli in primary auditory cortex. Nature Comm. (in press). doi:10.1101/240556 -- Yves Boubenec, Ph.D. Associate Professor / Maitre de conf?rences Audition Team, Laboratoire des Syst?mes Perceptifs (CNRS UMR 8248) ?cole Normale Sup?rieure, Department of Cognitive Studies 75005 Paris, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From lucas.bechberger at uni-osnabrueck.de Tue May 8 04:13:00 2018 From: lucas.bechberger at uni-osnabrueck.de (Lucas Bechberger) Date: Tue, 8 May 2018 10:13:00 +0200 Subject: Connectionists: =?utf-8?q?Third_Call_for_Abstracts_=E2=80=93_Work?= =?utf-8?q?shop_=E2=80=9CConcepts_in_Action=3A_Representation=2C_Learning?= =?utf-8?q?=2C_and_Application=E2=80=9D_=28CARLA=29?= Message-ID: "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. _Time and Venue:_ ??? August 11 and August 12, 2018, in Osnabr?ck (Germany) _Invited Speakers:_ ??? Nicholas Asher, Christiane D. Fellbaum, Peter G?rdenfors, Robert L. Goldstone, Julie Hunter, Michael Spranger _Submission:_ ??? We invite the submission of extended abstracts (up to 500 words excluding references) to https://easychair.org/conferences/?conf=carlaws18 until May 20, 2018. We will send out acceptance notifications by May 31, 2018. _Publication:_ ??? We plan to invite a selection of presentations for publication after the workshop. More information can be found on our website: https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2018.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: 5287 bytes Desc: S/MIME Cryptographic Signature URL: From hans.ekkehard.plesser at nmbu.no Tue May 8 06:12:36 2018 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 8 May 2018 10:12:36 +0000 Subject: Connectionists: REMINDER: NEST Conference 2018 --- Abstract submission closes SUNDAY 13 May Message-ID: <758793D7-681A-400C-A332-2846317D393F@nmbu.no> Dear colleagues! I cordially invite you to submit contributions to the NEST Conference 2018 to be held on 25/26 June 2018 (Monday/Tuesday, lunch to lunch) on the beautiful campus of the Norwegian University of Life Sciences at ?s, 30km south of Oslo. ABSTRACT SUBMISSION CLOSES THIS SUNDAY! We are excited to offer the following conference highlights: ? NEST 3 ? Gain first hands-on experience with the future of NEST ? NEST Doc++ ? Shape the professional documentation for NEST ? Brain Atlases as Tools for Neuroscience (Jan Bjaalie/Trygve Leergaard) ? Agricultural Robotics ? Meet Thorvald, NMBU's robot for precision farming (sagarobotics.com)! ? Midsummer conference barbecue dinner on NMBU's beautiful campus ? 3-day Hackathon after the conference with focus on improving documentation The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We would like you to share your experiences made and results obtained with NEST during the conference. You can do so either by a short oral presentation (10?15 minutes), on a poster, through a demo, or by organizing group work. Important dates ? 13 May 2018 ? Deadline for abstract submissions --- THIS SUNDAY!!! ? 17 May 2018 ? Notification of acceptance ? 25 May 2018 ? Deadline for registration For details, abstract submission and registration, please see http://www.nest-initiative.org/conference You are also welcome to contact us at conference at nest-initiative.org. We are looking forward to welcoming you to ?s in June! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser From jeremiah.deng at otago.ac.nz Tue May 8 17:31:50 2018 From: jeremiah.deng at otago.ac.nz (Jeremiah Deng) Date: Tue, 8 May 2018 21:31:50 +0000 Subject: Connectionists: AusAI'18 Call for Workshop Proposals Message-ID: <1525815110679.6828@otago.ac.nz> AI?2018 Call for Workshop Proposals The Australasian Joint Conference on Artificial Intelligence, now celebrating its 31st anniversary in 2018, has been a key event for the AI research community in Australasia and beyond. AI?2018 will be hosted by Victoria University of Wellington, New Zealand, in mid-December, 2018.?? AI?2018 seeks workshop proposals on foundational and emerging topics in areas related to artificial intelligence and applications. The workshops aim at providing a vibrant and structured opportunity for researchers and industry practitioners to share their research positions, original research results and practical development experiences on specific challenges and emerging technical issues. The workshop topics should be focused and cohesive so as to facilitate a platform for participants to benefit from interaction with each other. Some possible topics (non-exhaustive) include: ??????AI and cognitive science ??????Automatic machine learning ??????Stochastic optimization in neural networks ??????Biologically plausible neural networks ??????Natural language processing ??????Computer vision ??????AI and computer gaming ??????AI and privacy? ??????AI for cyber security ??????Parallel computing ??????AI and new programming paradigms ??????AI and IoT: smart grids and smart buildings ??????AI in specific disciplines: biology, ecology, e-commerce, e-government, environmental sciences, finance, healthcare, manufacturing, social sciences, transport, etc. ??????New topics in fundamental AI research The organizers of each workshop shall have full control on the call for papers, forming of program committees, review and selection of papers, planning and chairing the program. This may include organizing keynotes. To avoid conflict of interests, the peer-review process on paper submissions must be double blind, which should be clearly stated in the workshop CFP. IN ADDITION, the chairs must include the following statement in the CFP: ?By submitting a paper to the workshop, the authors agree that at least one author should attend the workshop to present the paper, if the paper is accepted. For no-show authors, their paper will not be published by the workshop proceedings.? Each workshop will have a right to include its papers in a joint Proceedings of AI Workshops to be published by the ACM ICPS and made available through the ACM Digital Library. The workshop chair must appoint a program committee to select the outstanding papers from the papers presented in the workshop. Based on the reviews, each selected paper should be further improved for the camera-ready version. A detailed schedule of due dates for the paper selection and the collection of the camera-ready versions will be announced immediately after the workshop announcement. Prospective workshop organizers should send a proposal (maximum three pages) with the following sections to?ai18workshops at gmail.com.? ??????Title of the workshop; ??????Objectives, scope, and contribution to the main conference; ??????Contacts of key organizers; ??????A tentative list of members of the program committee (with links to members webpages) with 1/3 of members confirmed; ??????Expected number of papers to be accepted; ??????Expected workshop length (half-day, full-day).? The registration fees for workshops will be determined by the conference. The fees will be paid to the conference, and the conference will provide workshop facilities including working notes printing, meeting rooms, coffee break, lunch, and proceedings publication.? Important Dates: ??????Workshop proposal due: May 31, 2018 ??????Workshop notification: May 31, 2018 ??????Workshop call for papers: June 15, 2018 ??????Suggested workshop author notification: October 12, 2018 ??????Workshop camera-ready due: October 26, 2018 AI?18 Workshop Co-Chairs Jeremiah Deng, University of Otago, New Zealand Lin Shang, Nanjing University, China ?? From terry at salk.edu Tue May 8 20:52:20 2018 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 08 May 2018 17:52:20 -0700 Subject: Connectionists: NEURAL COMPUTATION - May 1, 2018 In-Reply-To: Message-ID: Neural Computation - Volume 30, Number 5 - May 1, 2018 Available online for download now: http://www.mitpressjournals.org/toc/neco/30/5 ----- Articles Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression Roman A Sandler, Kunling Geng, Dong Song, Robert E. Hampson, Mark R Witcher, Sam A Deadwyler, Theodore W Berger, and Vasilis Z Marmarelis Slowness as a Proxy for Temporal Predictability: An Empirical Comparison Bjorn Weghenkel, and Laurenz Wiskott Predictive Coding in Area V4: Dynamic Shape Discrimination Under Partial Occlusion Hannah Choi, Anitha Pasupathy, and Eric Shea-Brown Letters Pattern Storage, Bifurcations and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model Diego Fasoli, Anna Cattani, and Stefano Panzeri Solving Constraint-satisfaction Problems With Distributed Neocortical-like Neuronal Networks Ueli Rutishauser, Jean- Jacques Slotine, and Rodney J. Douglas An Interneuron Circuit Reproducing Essential Spectral Features of Field Potentials Reinoud Maex A Kernel Embedding Based Approach for Non-stationary Causal Model Inference Shoubo Hu, Zhitang Chen, and Laiwan Chan Deep Semi-Supervised Zero-Shot Learning With Maximum Mean Discrepancy Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, and Qinghua Zheng Optimizing the Usability of Brain Computer Interfaces Yin Zhang, and Steven Chase ------------ 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 kristian.nymoen at imv.uio.no Wed May 9 02:36:41 2018 From: kristian.nymoen at imv.uio.no (Kristian Nymoen) Date: Wed, 9 May 2018 06:36:41 +0000 Subject: Connectionists: Fully funded PhD Research Fellowship in machine learning and information retrieval for full body motion data In-Reply-To: References: Message-ID: <2E2A1F08-FEBF-460E-9F92-B2554290138A@imv.uio.no> A fully funded Doctoral Research Fellowship is available within the Robotics and Intelligent Systems group (ROBIN) at the Department of Informatics, University of Oslo. The main area of focus within the position is automated classification of full body motion capture data, including automating techniques for post-processing and matching against semantic descriptions of the data. The appointment is for a period of 3 years. There might be a possibility to extend to 4 years depending on the qualifications of the recruited candidate, and the department?s need for teaching and lab assistants. The recruited candidate will be working at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion with leading researchers in Informatics, Musicology and Psychology, with access to state-of-the-art facilities in sound/video recording, motion capture, eye tracking, physiological measurements, various types of brain imaging (EEG, fMRI), and rapid prototyping and robotics laboratories. The recruited PhD candidate will research machine learning techniques for full-body motion capture data, including: 1. Automated generic post-processing techniques for motion capture data (automatic marker recognition and prediction of missing marker locations). 2. Automated classification dance styles from full body motion capture data. 3. Explore deep learning techniques for automated synthesis of dance movement. Qualification requirements - A Master?s degree in a relevant field such as computer science, machine learning, biokinematics or music information retrieval. - A solid background in computer science and machine learning. - Competence in one or more of the following fields: deep learning, motion capture technology, biokinematics, data analysis, digital signal processing, and music. - Personal suitability and motivation for the position. - Fluency in English We offer - Salary NOK 436 900 ? 490 900 (approx. EUR 45 000 ? 50 000) per year depending on qualifications and seniority - A professionally stimulating working environment - Attractive welfare benefits - Membership in the Norwegian Public Service Pension Fund Closing date for applications: 4th June 2018 Starting date: No later than 1st October 2018 Please see the online recruitment portal for more information and a link to the application form: https://www.jobbnorge.no/en/available-jobs/job/152613/phd-research-fellowship-in-machine-learning-and-information-retrieval-for-music-related-movement Contact: Associate Professor Kristian Nymoen, krisny at ifi.uio.no __________ Med vennlig hilsen / Best regards, Kristian Nymoen Associate Professor RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion Department of Musicology and Department of Informatics University of Oslo Office phone: (+47) 22841693 Mobile phone: (+47) 99708138 http://people.uio.no/krisny -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Wed May 9 03:18:09 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Wed, 9 May 2018 07:18:09 +0000 Subject: Connectionists: LVA/ICA 2018, July 2-6: Call for Participation: 14th International Conference on Latent Variable Analysis and Signal Separation Message-ID: Dear Connectionists, We are happy to announce that the program for the 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018) is now available at: http://cvssp.org/events/lva-ica-2018/program/ LVA/ICA 2018 will be the held at the University of Surrey, Guildford, UK from July 2-6, 2018. The programme features a wide range of oral and poster presentations on topics related to latent variable analysis and source separation, including Matrix and Tensor Factorizations, Deep Learning and Data-driven Methods, ICA Methods, Nonlinear Mixtures, Sparsity-Related Methods, Bayesian Approaches, Audio Data and Methods, and Biomedical Data and Methods. We are looking forward to inspiring keynote talks from Tuomas Virtanen (Laboratory of Signal Processing, Tampere University of Technology, Finland), Orly Alter (Scientific Computing & Imaging Institute/Huntsman Cancer Institute, University of Utah, USA) and Andrzej Cichocki (Brain Science Institute, Riken, Japan). The conference will also feature special sessions on Structured Tensor Decompositions and Applications, and Advances in Phase Retrieval and Applications, plus the results of the SiSEC 2018 Signal Separation Evaluation Campaign. The conference will be preceded by a 1-day Summer School with tutorials by Evrim Acar (Simula Research Laboratory, Lysaker, Norway) on Tensor Factorizations, Data Fusion & Applications, and Richard Turner (Computational & Biological Learning Lab, University of Cambridge, UK) on Bayesian Inference and Deep Learning, and from Russell Mason, Ryan Chungeun Kim and Dominic Ward on Evaluation of Musical Audio Source Separation. For interested delegates, the conference is followed by an Audio Day, featuring talks, posters and demos on audio-related projects. For information on how to register and accommodation options, see http://cvssp.org/events/lva-ica-2018/registration/ Early registration is available until 31 May 2018. We look forward to welcoming you to Surrey! Best wishes, Mark Plumbley Co-Chair, LVA/ICA 2018 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk ================================================================================ LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ================================================================================ From francoisxavier.dupe at gmail.com Wed May 9 05:20:27 2018 From: francoisxavier.dupe at gmail.com (=?UTF-8?Q?Fran=c3=a7ois-Xavier_Dup=c3=a9?=) Date: Wed, 9 May 2018 11:20:27 +0200 Subject: Connectionists: Postdoc: multiview learning and neuroimaging, Marseille Message-ID: <2ffdde9d-849f-2794-f23a-28fe5de32df9@gmail.com> An HTML attachment was scrubbed... URL: From stefano.rovetta at unige.it Wed May 9 10:10:12 2018 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Wed, 09 May 2018 16:10:12 +0200 Subject: Connectionists: Cfp: SETIT2018 - IEEE - DEADLINE EXTENDED Message-ID: <1525875012.5af3014432df2@webmail.unige.it> DEADLINE EXTENDED - SUBMISSION MAY 31 Third Call for papers --------------------------------- S E T I T 2 0 1 8 The Eigth Conference on the Sciences of Electronics, Technologies of Information and Telecommunications Genoa, Italy, September 3-5, 2018 --------------------------------- Sponsored by The IEEE Italy Section Computational Intelligence Society Chapter Proceedings published by IEEE The Conference covers all topics in the fields of information and communication technologies and related sciences. It aims to bring together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances in their respective areas, fostering a cross-disciplinary dissemination that would be otherwise made difficult by the extreme specialization of each field. In today?s information-centered world, the relevance of hardware, software, telecommunications cannot be overestimated; even fields traditionally involved only marginally, like factory automation and production engineering, are currently discovering the value of data and information, with such trends as the Industry 4.0 or the exponential growth of machine learning and AI, and with all the consequent technological developments that are needed to support them. The Conference encourages submission of both theoretical advances and interesting applications, with special emphasis on (but not limited to) interdisciplinary works at the intersection of two or more of the areas covered. TOPICS - Information Processing: Machine Learning, Fuzzy Logic and Computational Intelligence, Data Mining, Information Fusion, Source Separation, Business Intelligence, Artificial intelligence - Human-machine Interaction: Model Driven Engineering, UX and Usability, Virtual, Mixed and Augmented Reality, Ubiquitous Computing Systems, Adaptive and Intelligent Systems, Social Network analysis - Computer Science: Algorithm and Theory, Programming Languages, Information Systems Management, High-performance computing, Intelligent e-Technology, Data Warehouse and Big Data, Quantum Computing - Telecommunications and Networks: Network Protocols, Wireless Sensor Networks, Networks and Cloud Computing, Security, Quality of Service and Resource Management, Internet Of Things, Vehicular Applications and Technologies - Signal Processing: Signal Detection, Estimation and Restoration, Statistical Signal Processing, Design and Implementation of Signal Processing, Audio, Acoustic, Speech and Biomedical Signal, Non-Stationary, Non-linear and Non-gaussian Signals, Modeling in Signals - Electronics: Electronic Integration, Circuits and Systems for Communications, Nanodevices and Nanosystems, Instrumentation Engineering, Embedded Systems, Power Electronics, Automatic Control of Power Plants - Image and Video: Image and Video Processing Technology, Compression, Coding and Implementation, Cryptology and Watermarking, Storage, Retrieval, and Authentication, Biomedical Image and Health, Multimedia Applications Important dates May 31 Paper submission - EXTENDED DEADLINE Jun 30 Notification of acceptance Jul 10 Early registration Jul 15 Final paper upload Sep 03-05 CONFERENCE CONFERENCE PROCEEDINGS Proceedings of SETIT 2018 will published by IEEE and available through IEEExplore. The scientific program will include some invited talks and tutorials, as well as contributed papers that will be presented in oral or poster sessions. Chairs Stefano Rovetta, University of Genoa, Italy Med salim Bouhlel, Sfax University, Tunisia Scientific Secretariat Francesco Masulli, University of Genoa, Italy Alberto Cabri, University of Genoa, Italy Submission of contributions: Please submit your manuscript for peer review, no more than 8 pages long, on http://www.setit.rnu.tn/submission-modality.html Submission implies the willingness of at least one author per paper to register, attend the conference, and present the paper. From tbrown at research.baycrest.org Wed May 9 10:23:07 2018 From: tbrown at research.baycrest.org (Tanya Brown) Date: Wed, 09 May 2018 14:23:07 +0000 Subject: Connectionists: Brain Connectivity Workshop 2018 - June 25-27; Stanford, USA Message-ID: <691fd631-da5a-0d84-5884-54bd91d6cd88@mixmax.com> ABOUT Founded in 2002, the Brain Connectivity Workshop (BCW) is an annual international meeting for in-depth discussions of all aspects of brain connectivity research. This meeting has a unique format in that it features only short presentations (15 minutes, 3 slides), followed by 45 minutes of intense discussion. The 17th edition of this workshop, taking place at Stanford University (June 25-27, 2018), begins with an educational day followed by two days devoted to presentations and discussions in four domains: anatomy, physiology and neuroimaging, computational models of brain connectivity, and clinical problems in relation to connectivity in both psychiatry and neurology. DateLocationRegistration open untilRegistration Fee25th - 27th June, 2018 Stanford, California10th May, 2018$375 USD SPEAKERS * Eliza Adams, Ph.D. Student, Marc Tessier-Lavigne?s Lab, Stanford University -?Volume imaging of activity, plasticity, and degeneration in the intact brain and embryo * Adriano Aguzzi, Professor and Director of the Institute of Neuropathy, University Hospital Zurich -?The mammalian prion protein in health and disease * Michael Breakspear, Group Leader, Systems Neuroscience Group, QIMR Berghofer Medical Research Institute -?Failure to excite the second mode! Incomplete cortical state transitions during sleep in preterm neonates * Edward Bullmore, Professor of Psychiatry and Head of the Department of Psychiatry, University of Cambridge -?Development of connectomes * Marvin Chun, Dean of Yale College and Richard M. Colgate Professor of Psychology, Neuroscience, and Cognitive Science, Yale University -?Decoding and Predicting Attention * Karl Deisseroth, D. H. Chen Professor and Professor of Bioengineering and of Psychiatry & Behavioral Sciences, Stanford University -?Linking real-time activity with detailed anatomy at cellular resolution across the vertebrate brain * Barry Horwitz, Scientist Emeritus, NIH -?The K?tter Lecture: Using Neural Network Modeling and Functional Neuroimaging Data to Understand the Neural Basis of Human Cognition * Viren Jain, research scientist, Google -?Automated reconstruction of synaptic-resolution neural wiring diagrams using very large scale computation and machine learning * Viktor Jirsa, Director INS Inserm (Institut de Neuroscience des Syst?mes) -?On the slow variable in brain network dynamics * Jin Hyung Lee, Associate Professor of Neurology, of Neurosurgery and of Bioengineering and, by courtesy, of Electrical Engineering, Stanford University -?Title TBA * Liqun Luo, Ann and Bill Swindells Professor in the School of Humanities and Sciences and Professor, by courtesy, of Neurobiology, Stanford University -?Anatomical, Physiological, and Functional Heterogeneity of the Dorsal Raphe Serotonin System * Rosalyn Moran, Reader in Theoretical Neurobiology, King?s College London -?Dynamic Causal Models for Neural Circuit Analysis from Induced Pluripotent Stem Cells * Randy McIntosh, Senior Scientist, Rotman Research Institute, Baycrest Centre, and Professor of Psychology, University of Toronto -?Modeling and measuring flows between cognitive and neural processes * Russell Poldrack, Albert Ray Lang Professor of Psychology and Professor, by courtesy, of Computer Science, Stanford University -?Network integration and its relation to cognitive function * Petra Ritter, Professor and Chair for Brain Simulation, Department of Neurology, Charit? Universit?tsmedizin Berlin & Berlin Institute of Health -?Inferring multi-scale neural mechanisms with brain network modelling * Pedro Vald?s-Sosa, Director Joint China/Cuba Laboratory for Translational Neurotechnology, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China -?Data driven versus model driven identification of nonlinear brain networks * Peter Tass, Professor of Neurosurgery, Stanford University -?Long-lasting desynchronization caused by multichannel patterned stimulation * Daniel Topgaard, Professor in Physical Chemistry, Lund University -?Mapping fibers in heterogeneous brain tissues REGISTRATION Stanford attendees, please?do not use?the registration form. Email us at contact-biox at stanford.edu.The registration form is now available:REGISTER HERE! Registration is $375 USD for all non-Stanford participants. Limited seating available. Registration is open until Thursday, May 10th, 2018. CONTACTPlease contact us atcontact-biox at stanford.edu?and let us know how we can assist you. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: BCW2018.png Type: image/png Size: 245984 bytes Desc: not available URL: From stephan.busemann at dfki.de Wed May 9 11:28:44 2018 From: stephan.busemann at dfki.de (Stephan Busemann) Date: Wed, 9 May 2018 17:28:44 +0200 Subject: Connectionists: CALL FOR PAPERS AIMSA 2018, submission deadline May 20th 2018 Message-ID: ??? ??? CALL FOR PAPERS AIMSA 2018 The 18th International Conference on Artificial Intelligence: Methodology, Systems, Applications ??? ??? - AI and Deep Learning - ??? Golden Sands resort, Varna, Bulgaria, 12-14th September, 2018 ??? ??? www.aimsaconference.org Initiated in 1984, the biennial Artificial Intelligence: Methodology, Systems, Applications (AIMSA) conference is a premier forum for exchanging information and research results on AI theory and principles along with applications of intelligent system technology. The conference traditionally brings together academic and industrial researchers from all areas of AI to share their ideas and experiences and learn about the research in contemporary AI. As its name indicates, the conference is dedicated to Artificial Intelligence in its entirety. However, for AIMSA 2018, we would like to put an emphasis on Deep Learning (DL) as it has been used successfully in many applications, and is considered one of the most cutting-edge machine learning and AI techniques at the moment. Of course, the focus on DL does not preclude submission of papers on other interesting topics and approaches in AI. The 18th edition of AIMSA will be held in the beautiful Varna area, Bulgaria. With excellent opportunities for outdoor activities, water sports and gastronomy, Varna promises to be a wonderful venue for a memorable conference. TOPICS The conference welcomes submissions of original, high quality papers in all areas of Artificial Intelligence, including (but not limited to) traditional topics such as search, machine learning, planning, knowledge representation, reasoning, natural language processing, robotics and perception, multiagent systems, etc. We especially welcome papers on end-to-end learning; multi-task learning; cross- and multi-modal learning; combinations of DL and knowledge-based approaches; transparency, explainability, stability and provability of DL; DL meta-learning in AI etc., as well as papers that bring useful computational technologies from other areas of computer science into AI. All submissions will be subject to academic peer review by at least two members of the program committee. Selection criteria include accuracy and originality of ideas, clarity and significance of results, and quality of presentation. For each accepted paper, at least one author is required to attend the conference to present the paper. The best paper of the conference will receive the Best Paper Award during the conference. IMPORTANT DATES Submission deadline: ??? ??? ??? ??? May 20, 2018 Notification of acceptance:??? ? June 17, 2018 Deadline for camera-ready:??? ? July 1, 2018 Conference:??? ????????????????? ??? ??? ??? September 12-14, 2018 PROCEEDINGS AIMSA 2018 Proceedings will be by Springer in their Lecture Notes in Artificial Intelligence subline of the Lecture Notes in Computer Science series. Extended versions of AIMSA 2018 selected papers will be published by MDPI, Switzerland, in a special issue of ?Information? (ISSN 2078-2489) ? an Open Access Journal of Information Science (http://www.mdpi.com/journal/information/special_issues/AIMSA_2018.). PROGRAMME COMMITTEE CHAIR Josef van Genabith??? The German Research Center for Artificial Intelligence DFKI KEYNOTE SPEAKERS Feiyu Xu??? ??? ??? ??? ? AI Lab, Lenovo Research, Lenovo Group, China John D. Kelleher??? Dublin Institute of Technology, Ireland Milica Gasic??? ??? ??? University of Cambridge, UK ASSOCIATED EVENTS Workshop on Artificial Intelligence in Bioinformatics ? 11th of September, 2018 http://www.aimsaconference.org/workshop.php LANGUAGE The official language of the conference is English. LOCATION Golden Sands is a modern resort with traditions, and history going back 50 years. A unique blend of lovely nature park, warm sea, and fine golden sand! Golden Sands is the winner of a "Blue Flag" - a prestigious international award for environmentally clean resorts REGISTRATION The AIMSA'2018 registration fee includes attendance to AIMSA'2018 technical sessions, a copy of the AIMSA'2018 proceedings, welcome reception, working lunches, coffee-breaks and the conference dinner. Registration fees (before August 1st) Regular fee?AIMSA 400 Euro Student/PhD Student AIMSA? ??? ??? ??? ??? ??? ??? ??? 300 Euro Regular fee?WORKSHOP??? ??? ??? ??? ??? ??? ??? ??? ??? ??? 150 Euro Regular fee?AIMSA & WORKSHOP??? ??? ??? ??? ??? ??? 500 Euro Student/PhD Student?AIMSA & WORKSHOP??? 400 Euro GRANTS Bulgarian Artificial Intelligence Association will provide several grants for PhD students and young researchers. The grant covers the conference fee. LOCAL ORGANIZING COMMITTEE CHAIR Gennady Agre Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev 2, 1113 Sofia, Bulgaria E-mail: agre at iinf.bas.bg Phone: +359 28700118 Fax: +359 28707273 ORGANIZERS Bulgarian Artificial Intelligence Association Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences (IICT ? BAS) From tj at cs.cornell.edu Wed May 9 12:03:17 2018 From: tj at cs.cornell.edu (Thorsten Joachims) Date: Wed, 9 May 2018 16:03:17 +0000 Subject: Connectionists: CausalML Workshop at ICML / IJACI / AAMAS Message-ID: CausalML 2018 : ICML / IJCAI / AAMAS Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action https://sites.google.com/site/faim18wscausalml/ July 15, 2018 Stockholm, Sweden Many of the most impactful applications of machine learning are not just about prediction, but are about putting learning systems in control of selecting the right action at the right time. Examples of such systems range from search engines that act by displaying a ranking, to medical decision support systems, recommender systems, ad placement systems, conversational systems, automated trading platforms, computer games, and cyber-physical systems like self-driving cars. This focus on acting requires some causal understanding of the world, since actions are interventions that change the distribution of data unlike in standard prediction problems. This gives rise to challenging counterfactual and causal prediction problems. However, causality is only a means to an end - namely being able to take the right actions; one typically does not have the burden of providing strong proofs of causal discovery. Confirmed invited speakers: Alekh Agarwal, Victor Chernozhukov, Alexandra Chouldechova, Mohammad Ghavamzadeh, Jonas Peters, Suchi Saria, Csaba Szepesvari, Stefan Wager We solicit submission of novel research related to all aspects of causal inference, counterfactual prediction, and autonomous action. This includes, but is not limited to, the following topics: - Predicting counterfactual outcomes - Estimation of (conditional) average treatment effects - Contextual bandit algorithms and on-policy learning - Batch/offline learning from bandit feedback - Off-policy evaluation and learning - Interactive experimental control vs. counterfactual estimation from logged experiments - Online A/B-testing vs. offline A/B-testing - De-biasing observational data and feedback cycles - Fairness of actions and causal aspects of fairness - Applications in online systems (e.g. search, recommendation, ad placement) - Applications in physical systems (e.g. cars, smart homes) - Applications in medicine (e.g. personalized treatment, clinical trials) We suggest extended abstracts of 2 pages in ICML format, but no specific format is enforced. A maximum of 8 pages will be considered. References will not count towards the page limit. PDF files only. At the discretion of the organizers, accepted contributions will be assigned slots as contributed talks and others will be presented as posters. The deadline for submissions has been extended to May 23, 2018 Submissions via https://sites.google.com/site/faim18wscausalml/ Author notification: May 30,2018 As part of the workshop, we are organizing a CrowdAI competition on learning from logged contextual bandit feedback with non-uniform action-selection propensities. The data is provided by Criteo, and a separate announcement is forthcoming. The winners will be invited to present their approach at the workshop. Organizers Clement Calauzenes (Criteo) Thorsten Joachims (Cornell) Nathan Kallus (Cornell) Adith Swaminathan (Microsoft Research) Philip Thomas (UMass Amherst) --- Thorsten Joachims Chair, Department of Information Science Professor, Department of Computer Science Cornell University http://www.joachims.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Wed May 9 10:34:11 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 9 May 2018 17:34:11 +0300 Subject: Connectionists: The 34th ACM Symposium on Applied Computing (SAC 2019): Call for Track Proposals Message-ID: <13E61ADB-0201-4F48-8968-43B399BCB2C0@cs.ucy.ac.cy> *** CALL FOR TRACK PROPOSALS *** The 34th ACM Symposium on Applied Computing (SAC 2019) St. Raphael Resort, Limassol, Cyprus, April 8-12, 2019 https://www.sigapp.org/sac/sac2019 *** Submission Deadline: May 25, 2018 *** For the past thirty-three years the ACM Symposium on Applied Computing (SAC) has been a primary and international forum for applied computer scientists, computer engineers and application developers to gather, interact and present their work. The ACM Special Interest Group on Applied Computing (SIGAPP) is the sole sponsor of SAC. The conference proceedings are published by ACM and are also available online through ACM's Digital Library. SAC is based on a flexible structure of mostly self-contained and self-managed tracks. Over the past years SAC hosted tracks on a variety of timely topics such as Artificial Intelligence, Bioinformatics, Computer Security, Database Technology, Data Mining, Embedded Systems, Evolutionary Computing, Distributed Systems and Grid Computing, Mobile Computing, Programming Languages, Software Engineering, and Web Technologies. SAC 2018 included 40 tracks that attracted 931 paper submissions from 50 countries; 235 submissions were finally accepted as full papers (25% acceptance rate). More information on past SAC events can be found at https://www.sigapp.org/conferences/sac . The 34th Annual SAC meeting will be held in April 2019 in Limassol, Cyprus, and is hosted by the University of Cyprus. The conference Organizing Committee solicits proposals for organizing and hosting tracks. Prospective track chairs should submit an up to two-page description for organizing a track, which should include at least the following items: 1) The proposed title for the track with a description of its aims, topics it will cover, and rationale for having such a track in SAC. This rationale should refer to any related conference events that are held regularly and why the proposed track differs from them or complements them. The proposed track should not be overly general but also not overly specialized, thus being able to attract a wide audience of people sharing similar interests. Proposals from industry are also encouraged. Despite its name, SAC also welcomes topics of mostly theoretical nature, provided there is clear practical potential in applying the results of such work. 2) A short description of the activities the track chair(s) will undertake upon acceptance of the proposal, to disseminate the call-for-papers for the track, and to manage the review process. (Current Track Chairs guideline document is posted on the SAC 2019 website). 3) A short CV of the prospective track chair(s) with reference to research interests and publication record directly related to the themes of the proposed track, and any previous experience of involvement in the organization of similar events (in the interest of brevity, reference to a personal web page where such information can be found will be sufficient). All proposals will be reviewed by the Program Committee using the criteria described above. The Committee reserves the right to: (1) accept a proposal as is, (2) require modifications before acceptance, (3) recommend merging of similar proposals with a considerable overlap in the topics addressed (in this case the track chairs of the different proposals will be asked to form a single track), (4) reject a proposal. Upon acceptance of a proposal, the track chairs will be notified of their responsibilities in managing the affairs of their track; as such responsibilities are defined by both the ACM and SAC conference rules. The Committee reserves the rights to cancel a track at any time if these responsibilities are not addressed adequately by the track chair(s). Important Dates May 25, 2018: Submission of track proposals June 8, 2018: Notification of acceptance/rejection June 15, 2018: Call-For-Papers for accepted tracks Sept 10, 2018: Submission of papers Sept 20, 2018: Submission of tutorial proposals Nov 10, 2018: Author notification Nov 25, 2018: Camera-ready copies Please submit your proposal electronically to the START submission system in PDF format through the SAC 2019 website. If you encounter any problems for your submission, please e-mail your questions to: - Dongwan Shin (dongwan.shin at nmt.edu) - Seiji Isotani (isotani at ieee.org) SAC 2019 Program Co-Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From bucchiarone at fbk.eu Thu May 10 05:19:36 2018 From: bucchiarone at fbk.eu (Antonio Bucchiarone) Date: Thu, 10 May 2018 11:19:36 +0200 Subject: Connectionists: eCAS 2018 CALL FOR PAPERS: 3rd Workshop on Engineering Collective Adaptive Systems Message-ID: eCAS2018 ------------------------------------------------------------------------------------------------------------------------------------------------------------ CALL FOR PAPERS 3rd Workshop on Engineering Collective Adaptive Systems eCAS 2018 September 7th, 2018 Fondazione Bruno Kessler (FBK) & University of Trento - Trento, Italy Web site: ecas2018.apice.unibo.it ------------------------------------------------------------------------------------------------------------------------------------------------------------ AIMS AND MOTIVATION Modern software systems are becoming more and more collective, composed of many distributed and heterogeneous entities. These systems operate under continuous perturbations making manual adjustments infeasible. For a collective system to be resilient, its adaptation must also be collective, in the sense that multiple entities must adapt in a way that addresses critical runtime conditions while preserving the benefits of the collaborative interdependencies. Decision-making in such systems is distributed and possibly highly dispersed, and interaction between the entities may lead to the emergence of unexpected phenomena. In such systems, a new approach for adaptation is needed to allow (i) multiple entities to collectively adapt with (ii) negotiations to decide which collective changes are best. Collective adaptation also raises a second important challenge: which parts of the system (things, services, people) should be engaged in an adaptation? This is not trivial, since multiple solutions to the same problem may be generated at different levels. The challenge here is to understand these levels and create mechanisms to decide the right scope for an adaptation for a given problem. This workshop solicits papers that address new methodologies, theories and principles that can be used in order to develop a better understanding of the fundamental factors underpinning the operation of such systems, so that we can better design, build, and analyze them, as well as case studies and applications showing such approaches in action. Interdisciplinary work is particularly welcomed. Suggested Topics (but not limited to): Novel theories relating to operating principles of CAS Novel design principles for building CAS systems Insights into the short and long-term adaptation of CAS systems Insights into emergent properties of CAS Insights into general properties of large scale, distributed CAS Decision-making approaches in CAS Methodologies for studying, analyzing, and building CAS Frameworks for analyzing or developing CAS case studies Languages, platforms, APIs and other tools for CAS Scenarios, case studies, and experience reports of CAS in different contexts (e.g., Smart Mobility, Smart Energy/Smart Grid, Smart Buildings, traffic management, emergency response, etc.) SCOPE The workshop is expected to attract participants from many disciplines, including Autonomic Computing, Biology, Game Theory, Evolutionary Computing, Network Science, Self-Organizing Systems, Pervasive Computing, and to be of interest to anyone working with the domain of large-scale self-adaptive systems. In addition, the European Commission has funded seven scientific projects and a Coordination Action in this area, with projects starting at the beginning of 2013. Thus, the workshop provides a natural base for the projects to meet and share ideas, even if it is in no way limited to this audience, and is likely to have broad appeal to a wide range of researchers. Potential audience members might work in application areas relating to large-scale distributed systems, or may come from any of the many disciplines that can provide insights into the operation and design of such systems. IMPORTANT DATES Abstract submission: June 4, 2018 Workshop paper submission: June 11, 2018 Workshop paper notification: July 9, 2018 Camera-Ready Version: July 15, 2018 Workshop: September 7, 2018 ------------------------------------------------------------------------------------------------------------------------------------------------------------ SUBMISSION INSTRUCTIONS and REVIEW CRITERIA The length of a workshop paper may not exceed 6 pages including references and follow the IEEE Computer Society Press proceedings style guide. All papers should be submitted in PDF format. You can submit the paper through EasyChair using this link: https://easychair.org/conferences/?conf=ecas2018 By submitting a paper, the authors confirm that in case of acceptance, at least one author will attend the workshop to present the work. Papers will be peer reviewed on the basis of originality, readability, relevance to themes, soundness, and overall quality. Workshop proceedings will be published on IEEE Xplore in parallel with the main conference proceedings. WORKSHOP ORGANIZERS Simon Dobson, University of St Andrews, UK, simon.dobson at st-andrews.ac.uk Martina De Sanctis, Fondazione Bruno Kessler, Trento, Italy, msanctis at fbk.eu Giacomo Cabri, Universit? di Modena e Reggio Emilia, Italy, giacomo.cabri at unimore.it STEERING COMMITTEE Jacob Beal, Raytheon BBN Technologies, USA Giacomo Cabri, University of Modena And Reggio Emilia, Italy Nicola Capodieci, University of Modena and Reggio Emilia, Italy Emma Hart, Edinburgh Napier University, U.K Jane Hillston, University of Edinburgh, U.K Mirko Viroli, University of Bologna, Italy WORKSHOP PROGRAM COMMITTEE (TO BE FINALIZED) Gerrit Anders, Augsburg University Franco Bagnoli, Universit? di Firenze Ezio Bartocci, TU Wien Luca Bortolussi, University of Trieste Johann Bourcier, IRISA/INRIA-Universite de Rennes 1 Sven Brueckner, Axon Connected LLC Giacomo Cabri, Universit? di Modena e Reggio Emilia Javier Camara, Carnegie Mellon University Siobhan Clarke, Trinity College Dublin Daniel Coore, University of the West Indies Ferruccio Damiani, Dipartimento di Informatica, Universit? di Torino Rocco De Nicola, IMT - School for Advanced Studies Lucca Giovanna Di Marzo Serugendo, University of Geneva Ada Diaconescu, Telecom ParisTech, CNRS LTCI Simon Dobson, University of St Andrews Matt Duckham, RMIT University Stefan Dulman, CWI Schahram Dustdar, TU Wien Jane Hillston, University of Edinburgh Paola Inverardi, University of L?Aquila Eva K?hn, TU Wien Peter Lewis, Aston University Nicolas Markey, LSV, CNRS & ENS Cachan Annapaola Marconi, Fondazione Bruno Kessler, Trento Mieke Massink, CNR-ISTI Hernan Melgratti -- University of Buenos Aires, Argentina Monjur Mourshed, Cardiff University, UK Mirco Musolesi, University College London Carlo Pinciroli, ?cole Polytechnique de Montreal Alexander Schiendorfer, University Augsburg Bradley Schmerl, Carnegie Mellon University Antoine Spicher, LACL University Paris Est Creteil Katia Sycara, Carnegie Mellon University Christof Teuscher, Portland State University Mirko Viroli, Universit? di Bologna Martin Wirsing, Ludwig-Maximilians-Universitaet Muenchen REGISTRATION All attendees at the workshop must register for SASO through the conference website: https://saso2018.fbk.eu/index.php/registration/ -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From lciti at essex.ac.uk Thu May 10 10:46:22 2018 From: lciti at essex.ac.uk (Luca Citi) Date: Thu, 10 May 2018 15:46:22 +0100 Subject: Connectionists: JOB: Post-doc in Neural Engineering Message-ID: Postdoctoral Research Associate in Neural Engineering University of Essex - School of Computer Science and Electronic Engineering The School of Computer Science and Electronic Engineering (CSEE) and the Essex BCI and Neural Engineering Lab are pleased to announce this postdoctoral position in the Horizon 2020 project "DeTOP: Dexterous Transradial Osseointegrated Prosthesis with neural control and sensory feedback". The project started approximately 2 years ago and will run until the end of February 2010. Web site: http://www.detop-project.eu/ DeTOP's aim is to develop osseointegrated prostheses (i.e. prostheses with a direct skeletal attachment) for transradial amputees. We are developing a novel prosthetic hand with improved functionality, smart mechatronic devices for safe implantable technology, and novel paradigms for natural control (action) and sensory feedback (perception) of the prosthesis through the implant. The Essex team is working on the development of robust neuro-muscular control algorithms for decoding users' intentions and enabling efficient control of the hand-wrist prosthesis. The successful applicant will have received a PhD in Biomedical Engineering, Electronic Engineering, Statistics, Computer Science or a closely related discipline. The ideal candidate will have significant experience in neural engineering, neuro-muscular signal processing and programming on embedded platforms. Applicants are also expected to have a strong publication record as first author, ideally including publications in 1st quartile journals in relevant areas. Appointment will be made as Senior Research Officer. Job reference: ??? REQ01292 Application closing date: *15/05/2018* Salary: ?? ?32,548 - ?34,521 per annum Further information and application instructions: https://hrorganiser.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=234680GY16&WVID=9918109NEm -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.rovetta at unige.it Thu May 10 14:52:27 2018 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Thu, 10 May 2018 20:52:27 +0200 Subject: Connectionists: Addendum to cfp - SETIT2018 Message-ID: <1525978347.5af494eb5dff9@webmail.unige.it> Dear colleagues, I am sending again the following cfp after fixing an issue that prevented signing up on the web site for submission. Now it is possible to submit your contribution! We apologize for the inconvenience DEADLINE EXTENDED - SUBMISSION MAY 31 Third Call for papers --------------------------------- S E T I T 2 0 1 8 The Eigth Conference on the Sciences of Electronics, Technologies of Information and Telecommunications Genoa, Italy, September 3-5, 2018 --------------------------------- Sponsored by The IEEE Italy Section Computational Intelligence Society Chapter Proceedings published by IEEE The Conference covers all topics in the fields of information and communication technologies and related sciences. It aims to bring together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances in their respective areas, fostering a cross-disciplinary dissemination that would be otherwise made difficult by the extreme specialization of each field. In today?s information-centered world, the relevance of hardware, software, telecommunications cannot be overestimated; even fields traditionally involved only marginally, like factory automation and production engineering, are currently discovering the value of data and information, with such trends as the Industry 4.0 or the exponential growth of machine learning and AI, and with all the consequent technological developments that are needed to support them. The Conference encourages submission of both theoretical advances and interesting applications, with special emphasis on (but not limited to) interdisciplinary works at the intersection of two or more of the areas covered. TOPICS - Information Processing: Machine Learning, Fuzzy Logic and Computational Intelligence, Data Mining, Information Fusion, Source Separation, Business Intelligence, Artificial intelligence - Human-machine Interaction: Model Driven Engineering, UX and Usability, Virtual, Mixed and Augmented Reality, Ubiquitous Computing Systems, Adaptive and Intelligent Systems, Social Network analysis - Computer Science: Algorithm and Theory, Programming Languages, Information Systems Management, High-performance computing, Intelligent e-Technology, Data Warehouse and Big Data, Quantum Computing - Telecommunications and Networks: Network Protocols, Wireless Sensor Networks, Networks and Cloud Computing, Security, Quality of Service and Resource Management, Internet Of Things, Vehicular Applications and Technologies - Signal Processing: Signal Detection, Estimation and Restoration, Statistical Signal Processing, Design and Implementation of Signal Processing, Audio, Acoustic, Speech and Biomedical Signal, Non-Stationary, Non-linear and Non-gaussian Signals, Modeling in Signals - Electronics: Electronic Integration, Circuits and Systems for Communications, Nanodevices and Nanosystems, Instrumentation Engineering, Embedded Systems, Power Electronics, Automatic Control of Power Plants - Image and Video: Image and Video Processing Technology, Compression, Coding and Implementation, Cryptology and Watermarking, Storage, Retrieval, and Authentication, Biomedical Image and Health, Multimedia Applications Important dates May 31 Paper submission - EXTENDED DEADLINE Jun 30 Notification of acceptance Jul 10 Early registration Jul 15 Final paper upload Sep 03-05 CONFERENCE CONFERENCE PROCEEDINGS Proceedings of SETIT 2018 will published by IEEE and available through IEEExplore. The scientific program will include some invited talks and tutorials, as well as contributed papers that will be presented in oral or poster sessions. Chairs Stefano Rovetta, University of Genoa, Italy Med salim Bouhlel, Sfax University, Tunisia Scientific Secretariat Francesco Masulli, University of Genoa, Italy Alberto Cabri, University of Genoa, Italy Submission of contributions: Please submit your manuscript for peer review, no more than 8 pages long, on http://www.setit.rnu.tn/submission-modality.html Submission implies the willingness of at least one author per paper to register, attend the conference, and present the paper. From steve at bu.edu Thu May 10 15:29:41 2018 From: steve at bu.edu (Grossberg, Stephen) Date: Thu, 10 May 2018 19:29:41 +0000 Subject: Connectionists: A unified theory of prefrontal cortex and its functions Message-ID: Dear colleagues, The following Open Access article develops a unified theory of prefrontal cortex and its functions: Grossberg, S. (2018). Desirability, availability, credit assignment, category learning, and attention: Cognitive-emotional and working memory dynamics of orbitofrontal, ventrolateral, and dorsolateral prefrontal cortices. Brain and Neuroscience Advances. May 8, 2018. http://journals.sagepub.com/doi/full/10.1177/2398212818772179 Abstract: Background: The prefrontal cortices play an essential role in cognitive-emotional and working memory processes through interactions with multiple brain regions. Methods: This article further develops a unified neural architecture that explains many recent and classical data about prefrontal function, and makes testable predictions. Results: Prefrontal properties of desirability, availability, credit assignment, category learning, and feature-based attention are explained. These properties arise through interactions of orbitofrontal, ventrolateral prefrontal, and dorsolateral prefrontal cortices with the inferotemporal cortex, perirhinal cortex, parahippocampal cortices; ventral bank of the principal sulcus, ventral prearcuate gyrus, frontal eye fields, hippocampus, amygdala, basal ganglia, hypothalamus, and visual cortical areas V1, V2, V3A, V4, MT, MST, LIP, and PPC. Model explanations also include how the value of visual objects and events is computed, which objects and events cause desired consequences and which may be ignored as predictively irrelevant, and how to plan and act to realize these consequences, including how to selectively filter expected vs. unexpected events, leading to movements towards, and conscious perception of, expected events. Modeled processes include reinforcement learning and incentive motivational learning; object and spatial working memory dynamics; and category learning, including the learning of object categories, value categories, object-value categories, and sequence categories, or list chunks. Conclusions: This article hereby proposes a unified theory of prefrontal cortex and its functions. Best, Steve Grossberg Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 Wang Professor of Cognitive and Neural Systems Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Director, Center for Adaptive Systems Boston University http://cns.bu.edu/~steve steve at bu.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkordjam at tulane.edu Thu May 10 16:33:47 2018 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Thu, 10 May 2018 20:33:47 +0000 Subject: Connectionists: Postdoctoral position in Machine learning/Natural language processing/Biomedical image processing Message-ID: <3E75DEFC-5607-4A70-8959-C2555C9B0263@tulane.edu> Tulane University: Computer Science Location: New Orleans, LA Open Date: Apr 9, 2018 Deadline: Aug 15, 2018 Description The postdoctoral fellow will work with Parisa Kordjamshidi?s research group. There are three possible research directions depending on the interests, expertise and the qualifications of the candidate: 1) Processing biomedical images as well as signals taken from artificial nerve tissues. 2) Natural language processing and extraction of semantics from language. In this direction we are interested in combining visual and textual data for understanding spatial information. 3) Research and development related to declarative learning based programming. In developing this framework, our goal is to facilitate the design of structured machine learning techniques where we enable using declarative domain knowledge in learning. Qualifications Minimum qualifications: ? Knowledge in machine learning techniques and application to the problem domains announced in the position description ? Publication record with peer-reviewed publications ? Good communication and teamwork skills ? Interest in attending conferences ? Ability to handle deadlines ? PhD in computer science or related area. Preferred qualifications: ? Experience and interest in open source software development ? Excellent programming and software development skills Application Instructions Candidates must apply via Interfolio (https://apply.interfolio.com/49982) and provide the following: a CV, cover letter, and at least three letters of recommendation. Application Process This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge. Equal Employment Opportunity Statement Tulane University is an Equal Employment Opportunity/Affirmative Action institution committed to excellence through diversity. Tulane University will not discriminate based upon race, ethnicity, color, sex, religion, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, marital status, military or veteran status, or any other status or classification protected by federal, state, or local law. All eligible candidates are encouraged to apply. ------------------------------------------- Kordjamshidi, Parisa Assistant Professor CS Department at Tulane University Research Scientist at IHMC Homepage -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwitten at uw.edu Fri May 11 00:34:27 2018 From: dwitten at uw.edu (Daniela M Witten) Date: Thu, 10 May 2018 21:34:27 -0700 Subject: Connectionists: post-doc in statistical machine learning / comp neuro at U Washington Message-ID: We are looking to hire a post-doctoral research associate with an interest in developing statistical machine learning methods for neuroscience applications (specifically the analysis of large scale neural imaging data obtained from the reward circuit during decision-making behavior). The candidate would work under the direct supervision of Dr. Daniela Witten (University of Washington), and in collaboration with Dr. Ilana Witten (Princeton University). The candidate should have a PhD or equivalent degree in Statistics, Biostatistics, Computer Science, Applied Math, or a related field. If interested, please e-mail your CV, contact information for three references, and up to three pre-prints or publications to dwitten at uw.edu . -- Daniela M. Witten Associate Professor Dept of Statistics & Biostatistics University of Washington -------------- next part -------------- An HTML attachment was scrubbed... URL: From matthieu.gilson at upf.edu Fri May 11 12:07:48 2018 From: matthieu.gilson at upf.edu (Matthieu Gilson) Date: Fri, 11 May 2018 18:07:48 +0200 Subject: Connectionists: summer course "Analysis of neural data and brain connectivity" at UPC (Barcelona, Spain) Message-ID: Dear everyone, We are pleased to announce a one-week course on "Introduction to analysis of neural data and brain connectivity" at the Universitat Politecnica de Catalunya (UPC) in Barcelona from the 2nd to 6th of July (15 hours in total). The course comprises theoretical and practical classes. A complete description with objectives is available there: http://matthieugilson.eu/events/oneweek_UPC_summercourse.html The registration is now open, simply follow the following link: https://mesioupcub.masters.upc.edu/en/xii-summer-school-2018?where you can also find additional information for other courses. This course is part of the XII summer School in Statistics organized by the Facultat de Matem?tiques i Estad?stica (UPC) from June 18th to July 20th. With best regards, Adri? Tauste-Campo, Andrea Insabato, Gorka Zamora-L?pez and Matthieu Gilson -- Matthieu Gilson Center for Brain and Cognition Universitat Pompeu Fabra From george at cs.ucy.ac.cy Fri May 11 09:24:34 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 11 May 2018 16:24:34 +0300 Subject: Connectionists: 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018): Last Call for Papers Message-ID: <59BB872C-4A03-48BC-B09B-5907A0076A7A@cs.ucy.ac.cy> *** LAST CALL FOR PAPERS *** 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018) St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018 http://www.cyprusconferences.org/ismis2018 *** Extended Deadline: 28 May, 2018 *** WELCOME ISMIS is an established and prestigious conference for exchanging the latest research results in building intelligent systems. Held twice every three years, the conference provides a medium for exchanging scientific research and technological achievements accomplished by the international community. SCOPE The scope of ISMIS is intended to represent a wide range of topics on applying Artificial Intelligence techniques to areas as diverse as decision support, automated deduction, reasoning, knowledge based systems, machine learning, computer vision, robotics, planning, databases, information retrieval, etc. The focus is on research in intelligent systems. The conference addresses issues involving solutions to problems that are complex to be solved through conventional approaches and that require the simulation of intelligent thought processes, heuristics and applications of knowledge. The integration of these multiple approaches in solving complex problems is of particular importance. ISMIS provides a forum and a means for exchanging information for those interested purely in theory, those interested primarily in implementation, and those interested in specific research and industrial applications. INVITED SPEAKERS ? Michael May - Siemens, Munich, Germany ? Jean-Marc Petit - INSA Lyon and Universit? de Lyon, France TOPICS ISMIS 2018 is intended to attract individuals who are actively engaged both in theoretical and practical aspects of intelligent systems. The goal is to provide a platform for a useful exchange between theoreticians and practitioners, and to foster the cross-fertilization of ideas in the following areas: ? Active Media Human-Computer Interaction ? Autonomic and Evolutionary Computation ? Digital Libraries ? Health Informatics ? Intelligent Agent Technology ? Intelligent Data Processing and Analytics ? Intelligent Information Retrieval ? Intelligent Information Systems ? Intelligent Language Processing ? Knowledge Integration and Aggregation ? Knowledge Discovery and Data Mining ? Knowledge Visualization ? Logic for Artificial Intelligence ? Multimedia Information Retrieval ? Soft Computing ? Text Mining ? Web Intelligence ? Web Mining In addition, we solicit papers dealing with Applications of Intelligent Systems in complex/novel domains, e.g. art, human genome, global change, manufacturing, social good, etc. PAPER SUBMISSION Authors are invited to submit their manuscripts in LNCS/LNAI style (maximum 10 pages). All paper submissions will be handled electronically. All submissions will be subject to review by the ISMIS 2018 Program Committee. Papers should be prepared using the Springer LNCS/LNAI style (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines), maximum 10 pages. Papers should be submitted in PDF form via ISMIS 2018 Online Submission System: https://easychair.org/conferences/?conf=ismis2018 . PUBLICATION AND JOURNAL SPECIAL ISSUES The ISMIS 2018 proceedings will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and will be available at the conference. Authors of best papers will be invited to submit their extended versions to the Journal of Intelligent Information Systems (JIIS) (http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10844) published by Springer. Fast Track Processing will be used to have them reviewed and published. IMPORTANT DATES ? Paper Submissions due: 28th May 2018 (extended) ? Notification of Acceptance/Rejection: 10th July 2018 ? Camera-Ready Versions of Accepted Papers: 31st July 2018 ? Author Registration: 31st Juy 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE Steering Committee Chair ? Zbigniew Ras (UNC-Charlotte, USA & Polish-Japanese Academy of IT, Poland) Symposium Chair ? George Angelos Papadopoulos (University of Cyprus, Cyprus) Program Committee Co-Chairs ? Michelangelo Ceci (Universita degli Studi di Bari, Italy) ? Nathalie Japkowicz (American University, USA) ? Jiming Liu (Hong Kong Baptist University, Hong Kong) Special Sessions Chair ? Stefano Ferilli (University of Bari, Italy) Program Committee http://cyprusconferences.org/ismis2018/committees/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nkopco at gmail.com Fri May 11 12:48:28 2018 From: nkopco at gmail.com (Norbert Kopco) Date: Fri, 11 May 2018 12:48:28 -0400 Subject: Connectionists: PhD position in Slovakia and US Message-ID: <6ee82875-1811-5f55-d717-7313448068ea@gmail.com> A PhD position (or a part-time postdoc) is available in Norbert Kopco's Perception and Cognition Lab in the Institute of Computer Science at Safarik University in Kosice, Slovakia, for a Marie Curie EU-funded project on adaptation and learning in spatial hearing (http://pcl.upjs.sk/grants/alt/). This is an international collaborative project, combining psychophysical, neuroimaging and computational methods. As part of this project, the student would have the opportunity to work on development of modules for an auditory training game and spend up to 12 months in the US with one or more of the collaborators on this grant (Aaron Seitz's Brain Game Center at UC Riverside, Erick Gallun's lab at the Portland VA / OHSU, Virginia Best or Barbara Shinn-Cunningham at the Boston University Hearing Research Center, or Jyrki Ahveninen at the Martinos Center for Biomedical Imaging in Boston). Interested candidates please contact norbert.kopco at upjs.sk with a CV and a research statement. Information about PhD student application procedures is available at http://www.upjs.sk/en/faculty-of-science/foreign-students/ (deadline is 31 May, 2018). From erdi.peter at wigner.mta.hu Sun May 13 12:42:09 2018 From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=) Date: Sun, 13 May 2018 18:42:09 +0200 (CEST) Subject: Connectionists: Michael Arbib's autobiography is now open Message-ID: Dear All: The memoir of one of the legendary brain theoreticians, Michael Arbib: >From cybernetics to brain theory, and more: A memoir published in Cognitive Systems Research is now freely available by August 13th at ScienceDirect: https://www.sciencedirect.com/science/article/pii/S1389041718301360 Hope you will enjoy to read this paper! Kind regards P?ter ?rdi From torcini at gmail.com Sun May 13 13:29:21 2018 From: torcini at gmail.com (A. Torcini) Date: Sun, 13 May 2018 19:29:21 +0200 Subject: Connectionists: EXTENDED DEADLINE 20 May -- InSpire - New Insights on Complex Neural Dynamics - 6-8 June - Paris Message-ID: The deadline for registration has been extended to 20th May 2018 ================================================= The following workshop in (computational) neuroscience InSpire - New Insights on Complex Neural Dynamics will be held on June, 6th-8th, 2018, at Institut d'Etudes Avanc?s - Maison Internationale de la Recherche at Neuville-sur-Oise (30 minutes from Paris with public transports) https://inspire2018parisseine.wordpress.com/ The workshop will represent an opportunity to bring together views from experimental and computational neuro-scientists as well as experts in the dynamics of complex systems. A common aim is to improve the knowledge of the mechanisms underlying neural activity in the brain. INVITED SPEAKERS: https://inspire2018parisseine.wordpress.com/page/ For registration, poster presentation and more details see here: https://inspire2018parisseine.wordpress.com/about/ extended deadline for registration: 20th MAY, 2018. The Organizers, Bruno Cessac, Antonio Politi, Marc Timme, and Alessandro Torcini -- From Donald.Adjeroh at mail.wvu.edu Sun May 13 16:31:21 2018 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sun, 13 May 2018 20:31:21 +0000 Subject: Connectionists: SBP-BRiMS]18: Challenge Problems, Doctoral Consortium, Short papers ... deadline tomorrow (Monday, May 14) In-Reply-To: References: , <7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>, , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies. ------------------------------------------------------------------------------------------------------------------------------- SBP-BRiMS 2018 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 10-13, 2018, Lehman Auditorium, George Washington University, Washington DC, USA http://sbp-brims.org/2018/ Conference Registration: Registration is now open for the 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), George Washington University, Washington DC, USA, July 10 ? July 13, 2018. You can register at the website: http://sbp-brims.org/2018/registration/ Travel Fellowships: A limited number of fellowships is available for Student Travel Fellowships, and for Diversity Fellowships. Diversity Fellowships will be awarded based on gender, racial, and disciplinary diversity. For more details, visit the conference website http://sbp-brims.org/2018/, and check the menu for Scholarships, under "Conference Information". Application Deadline is June 20, 2018. Doctoral Consortium: We are also accepting submissions for the Doctoral Consortium. Check the link: http://sbp-brims.org/2018/doctoral_consortium/ Deadline: May 14, 2018 Challenge Problem Submission: Also, check our Challenge Problems, and submit an entry. http://sbp-brims.org/2018/challenge/ Deadline: May 14, 2018. Short Paper Submission (Online Proceedings): http://sbp-brims.org/2018/cfp/ Deadline: May 14, 2018. 2018 International Conference on Social Computing ... sbp-brims.org 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation Please visit the http://sbp-brims.org/2018/ website for more information about the conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Mon May 14 08:50:04 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Mon, 14 May 2018 15:50:04 +0300 Subject: Connectionists: The 6th International Conference on Enterprise Systems (ES 2018): Fourth Call for Papers (*** Extension Deadline ***) Message-ID: <95675E2C-492D-4425-A371-5B07B51E8217@cs.ucy.ac.cy> *** FOURTH CALL FOR PAPERS *** The 6th International Conference on Enterprise Systems (ES 2018) St. Raphael Resort, Limassol, Cyprus, 1-2 October, 2018 http://www.cyprusconferences.org/es2018 (*** Extension Deadline: 4 June, 2018 ***) WELCOME Welcome to the 6th International Conference on Enterprise Systems. Enterprise Systems (ES), also referred to as Enterprise Information Systems, has become increasingly popular over the last 20 years because it integrates and extends business processes across the boundaries of business functions and corporate walls, as well as country border lines. The International Conference on Enterprise Systems (ES) has been held every year since 2013. The sixth in the series will be held at St. Raphael Resort, Limassol, Cyprus, 8-9 October, 2018. The conference is hosted by the Department of Computer Science, University of Cyprus. This conference series is focusing on both the technical and application aspects of enterprise systems, the complex and cross-disciplinary problems of enterprise integration, and the new technological frontiers such as Industrial Integration, Industrial Information Integration, and Industry 4.0. The objectives of the conference are to provide high quality research and professional interactions for the advancement of science and technology. The main features of the conference include Keynote Speeches, Regular and Special Sessions. It has been highlighted by the IEEE Systems, Man, and Cybernetics Society: http://ieeesmc.org/ . SCOPE We welcome original and survey articles about the latest advances of technology. The final results can be state-of-the-art, requirements, fundamental theories, models, frameworks, algorithms, methodologies, platforms, protocols, prototypes, testbeds, field trials, case studies/stories, field experiences, standardization efforts, regulatory activities, education and training innovations, etc. The application areas include aeronautics and astronautics, agriculture, automotive, building, construction, energy, finance, healthcare, logistics, manufacturing, process industry, power, transportation, etc. TOPICS The topics of interest include but are not limited to: ? Enterprise Systems for Industry 4.0 ? Cyber Physical Systems for Industry 4.0 ? Internet of Things for Industry 4.0 ? Big Data for Industry 4.0 ? Security and Privacy Protection for Industry 4.0 ? System Engineering and Human Factors for Industry 4.0 ? IoT-enabled Smart Manufacturing A full list of subtopics for each one of the above topics can be found on the conference web site. PAPER SUBMISSION The submitted paper should adhere to the double-blind review policy. All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance, originality, significance, and clarity. All paper submissions will be handled electronically. Papers that do not comply with the Submission Guidelines will be rejected without review. Paper types: ? Full papers present final result. They must not exceed 8 pages. ? Short papers can contain preliminary results. They must not exceed 6 pages. ? Work-in-progress papers to present valuable and latest progresses of ongoing projects: 4 pages. Note, all manuscripts shall be written in English, using the IEEE conference template (double column, size 10). Templates can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html . Please use the following submission link for Easy Chair: https://easychair.org/conferences/?conf=es20180 . PUBLICATION AND SPECIAL ISSUES Accepted papers will be submitted for inclusion into the IEEE Xplore Database which is indexed by EI. Furthermore, selected papers will be invited for a special issue by the Journal of Industrial Integration and Management, World Scientific, with theme "Next-Generation Enterprise Systems in the Industrial Integration Era". More information is available on the conference web site. IMPORTANT DATES ? Regular Paper Submissions (al types) due: 4th June 2018 (extended) ? Notification of Acceptance/Rejection: 23rd July 2018 ? Camera-Ready Versions of Accepted Papers: 13th August 2018 ? Author Registration: 13th August 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE Honorary General Chairs ? Aurona Gerber, South Africa, IEEE SMC EAE TC Chair ? Alta Van der Merwe, South Africa, IEEE SMC EAE TC Chair ? Li Da Xu, USA, IEEE SMC EIS TC Co-Chair Program Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Program Co-Chairs ? Ling Xia Li, Old Dominion University, USA ? Wattana Golf Viriyasitavat, Chulalongkorn University, Thailand ? Yale Yu, Infosys Australia & New Zealand ? Chris Zhang, University of Saskatchewan, Canada ? Zhuo Zou, Fudan University, China Program Committee http://www.cyprusconferences.org/es2018/pages/pc.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From kendrick.kay at gmail.com Mon May 14 09:21:37 2018 From: kendrick.kay at gmail.com (Kendrick Kay) Date: Mon, 14 May 2018 08:21:37 -0500 Subject: Connectionists: CCN 2018 Paper Deadline May 25 Message-ID: Dear colleague, *Cognitive Computational Neuroscience (CCN)* is an annual conference designed to foster interaction between the cognitive science, artificial intelligence, and neuroscience communities. This year's conference has an exciting list of confirmed speakers. We also will be hosting several innovative special events: Mind matching (computer-assisted networking event) Challenges and controversies (debate between leaders from different disciplines) Cross-collaboration breakouts (directed small-group discussion) Paper submission deadline for CCN 2018 is *May 25, 2018*. More information available at http://ccneuro.org. Confirmed speakers for CCN 2018: Ryan Adams Danielle Bassett Marlene Cohen Sam Gershman Alison Gopnik John Krakauer Tim Lillicrap Josh McDermott Maneesh Sahani Eero Simoncelli Dan Yamins ? CCN Steering Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From Nicolas.Rougier at inria.fr Mon May 14 09:42:42 2018 From: Nicolas.Rougier at inria.fr (Nicolas Rougier) Date: Mon, 14 May 2018 15:42:42 +0200 Subject: Connectionists: New replications in ReScience Message-ID: Dear all, It?s my great pleasure to announce that the following articles: * Non-additive coupling enables propagation of synchronous spiking activity in purely random networks, R.M. Memmesheimer, M. Timme, PLoS Computational Biology, 8(4): e1002384, 2012. DOI: 10.1371/journal.pcbi.1002384 * A Neural Model of the Saccade Generator in the Reticular Formation, Gancarz, G., Grossberg, S., Neural Networks 11, no. 7-8 (October 1998): 1159-74. DOI:10.1016/S0893-6080(98)00096-3 * The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model, T.C. Potjans, M. Diesmann, Cerebral Cortex, 24 (3): 785-806, 2014. DOI: 10.1093/cercor/bhs358 have been all successfully replicated. Articles and corresponding code are available from http://rescience.github.io/read/ Best, Nicolas P. Rougier From odette.scharenborg at gmail.com Mon May 14 09:44:58 2018 From: odette.scharenborg at gmail.com (Odette Scharenborg) Date: Mon, 14 May 2018 15:44:58 +0200 Subject: Connectionists: Reminder: Call for abstracts: 3rd International Workshop for Young Female Researchers in Speech Science & Technology (YFRSW-2018) Message-ID: ==== YFRSW-2018, Hyderabad, India, September 1, 2018 ==== 3rd International Workshop for Young Female Researchers in Speech Science & Technology (YFRSW-2018) Special event of Interspeech 2018, Hyderabad, India == Important Dates: - Abstract submission opens: 16 April 2018 - Abstract submission closes: 24 May 2018 - Notification of acceptance: 15 June 2018 - Registration deadline: 5 July 2018 - Workshop date: 1 September 2018 == Topic: The aim of this workshop is to bring women undergraduate and masters students, who are currently working in speech science and technology, together at a special event co-located with Interspeech 2018, Hyderabad, India. The workshop will take place on 1 September 2018 from 10am to 5pm followed by a dinner with invited senior members of the Interspeech community. It will feature panel discussions with senior female researchers in the field, student poster presentations and a mentoring session. The workshop is the third of its kind, after a successful inaugural event (YFRSW 2016) at Interspeech 2016 in San Francisco and the second event (YFRSW 2017) in Stockholm, Sweden. It is designed to foster interest in research in our field in women at the undergraduate or master level who have not yet committed to getting a PhD in speech science or technology areas, but who have had some research experience in their college and universities via individual or group projects. == Call for Participation Abstracts describing the student?s (planned) research (maximum of 300 words) should be submitted by email to yfrs.workshop at gmail.com by May 24, 2018. Abstracts will be reviewed by the committee and applicants will be notified by June 15, 2018. Emphasis will be on inclusivity although all submissions should be in the core scientific domains covered by Interspeech. == Preliminary Program: The workshop will include the following events: * A welcome breakfast with introductions (1h) * A panel of senior women talking about their own research and experiences as women in the speech community (1h) * A panel of senior students who work in the speech area to describe how they became interested in speech research (1h) * A poster session for the students to present their own research (2h) * A coaching session between students and senior women mentors (1h) * A networking lunch for students and senior women (1h) == Organizing committee: Amber Afshan (UCLA), Kay Berkling (Karlsruhe University), Heidi Christensen (University of Sheffield), Maxine Eskenazi (CMU), Milica Gasic (Cambridge University), Dilek Hakkani-T?r (Google Inc), Preethi Jyothi (IIT Bombay), Esther Klabbers (ReadSpeaker), Lori Lamel (LIMSI CNRS) Yang Liu (University of Texas Dallas) Karen Livescu (Toyota Technological Institute at Chicago), Pratibha Moogi (Samsung Electronics), Emily Mower Provost (University of Michigah), Catharine Oertel (EPFL) Bhuvana Ramabhadran (Google Inc), Odette Scharenborg (M*Modal), Elizabeth Shriberg (Ellipsis Health Inc), Isabel Trancoso (INESC-ID / Instituto Superior T?cnico) For further details, please see: https://sites.google.com/view/yfrsw2018/home From marc.toussaint at informatik.uni-stuttgart.de Mon May 14 10:41:13 2018 From: marc.toussaint at informatik.uni-stuttgart.de (Marc Toussaint) Date: Mon, 14 May 2018 10:41:13 -0400 Subject: Connectionists: Full Professor (W3) in Autonomous Systems @ U Stuttgart, Germany Message-ID: <914fe098-26aa-ec95-ed5b-195108fc2991@informatik.uni-stuttgart.de> *Full Professor (W3) in Autonomous Systems @ U Stuttgart, Germany* Dear all, Stuttgart is investing heavily in AI and is creating several new positions. Here is a call for a full (tenured) professor in Autonomous Systems https://www.f05.uni-stuttgart.de/fakultaet/aktuelles/news/Open-Position-Full-Professorship-Autonomous-Systems/ *Deadline: June 4th* Some informal comments from me: * Topic-wise the position is very open (autonomous, cooperative, and cognitive AI systems, see details in the call). * The position is part of the 'Cyber Valley' initiative and you would be embedded in a new AI Institute at U Stuttgart. You'll have a great research environment, also with the Max-Planck Institute for Intelligent Systems (Stuttgart/T?bingen), University T?bingen, and the local industry (Bosch, Daimler, etc). Let me know if you have questions. Best, Marc -- Marc Toussaint http://ipvs.informatik.uni-stuttgart.de/mlr/marc/index.html From Herve.Frezza-Buet at centralesupelec.fr Tue May 15 06:26:42 2018 From: Herve.Frezza-Buet at centralesupelec.fr (=?UTF-8?Q?Herv=c3=a9_Frezza-Buet?=) Date: Tue, 15 May 2018 12:26:42 +0200 Subject: Connectionists: PhD Proposal Message-ID: <0aebd8f1-db56-dbc1-22e6-dc66b8c9a29b@centralesupelec.fr> Dear all, Please find attached to this mail a PhD proposal in our team. Best wishes, Herv? Frezza-Buet -------------- next part -------------- A non-text attachment was scrubbed... Name: sujet-biscuit-HFB-YB-en.pdf Type: application/pdf Size: 143006 bytes Desc: not available URL: From kripa.ghosh at gmail.com Tue May 15 05:47:01 2018 From: kripa.ghosh at gmail.com (Kripa Ghosh) Date: Tue, 15 May 2018 15:17:01 +0530 Subject: Connectionists: CFP: CIKM 2018 Workshop on Legal Data Analytics and Mining (LeDAM 2018) Message-ID: [apologies for cross-posting ] CALL FOR PAPERS: Workshop on Legal Data Analytics and Mining (LeDAM 2018) In conjunction with ACM International Conference on Information and Knowledge Management (CIKM) 2018 Turin, Italy | 22nd October 2018 Website : https://sites.google.com/site/legaldam2018/ Legal data mining is the subarea of data mining applied to legal texts, such as legislation, case law, patents, and scholarly works. Legal data mining systems are key to providing easier access to law for both common persons and legal professionals. This area is becoming increasingly important, because of the rapidly growing volume of legal cases and documents available in digital formats. The broad goals of the LeDAM workshop are: - to promote research in legal data analytics by fostering collaboration between the legal data mining practitioners and the data mining research community at large, - to improve awareness among the legal community about the state of the art models, techniques and algorithms developed by the data mining community that can potentially benefit the problems, and - to identify new research opportunities in data mining that arise from legal applications. We invite academic and industrial/governmental researchers and legal professionals to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of data mining in the legal domain. === Topics of interest === We are interested to receive paper submissions on all aspects of legal data mining. Topics of interest include but are not limited to: 1. Applications of data mining, machine learning and natural language processing techniques for the legal domain, for tasks such as summarization of legal document, precedence retrieval, argument mining, legal text classification, and so on 2. Answering natural language queries (primarily in layman language) with legal information 3. Discovery of electronically stored information for legal applications (eDiscovery) 4. Data mining and Information retrieval from patents, contracts, and other types of legal documents 5. Legal knowledge representation, including legal ontologies, knowledge graphs and common sense knowledge 6. Automated information extraction from legal databases and texts 7. Conceptual and model-based legal information retrieval 8. Applications of neural networks and deep learning techniques on legal data 9. Modelling norms and legal reasoning for multi-agent systems 10. Modelling negotiation and contract formation 11. Online dispute resolution 12. Intelligent support systems for the legal domain 13. Formal and computational models of legal reasoning, including argumentation, evidential reasoning, legal interpretation, and decision making === Paper submissions === All papers must be submitted in PDF in ACM sigconf ( https://www.acm.org/publications/proceedings-template) format. All papers must be written in English. We will consider three types of papers: - Full papers, describing completed works relevant to the theme (8-10 pages) - Short papers, describing preliminary ideas or work (4-6 pages) - Position/Vision papers, describing novel and practically important problems (2 pages) Submitted papers will be peer-reviewed, and the accepted papers will be included in the workshop proceedings that will be published online on CEUR ( http://ceur-ws.org/). At least one author of each accepted paper is required to register for the workshop (as per rules of the conference) and present the paper at the workshop. === Important dates === Paper submission deadline: July 10, 2018 Notification of acceptance: August 15, 2018 Camera ready deadline: August 27, 2018 Workshop: October 22, 2018 All times are 23:59 in Anywhere-on-Earth timezone. === Technical Program Committee === Adam Wyner, University of Aberdeen, Scotland UK Charles K. Nicholas, University of Maryland Baltimore County, USA David Lewis, David D. Lewis Consulting, USA Girish Keshav Palshikar, TCS Research, India Jack Conrad, Thompson Reuters, USA Jeroen Keppens, King?s College London, UK Karl Branting, MITRE Corporation, USA Katie Atkinson, University of Liverpool, UK Ken Satoh, National Institute of Informatics, Japan Kevin Ashley, University of Pittsburg, USA Matthias Grabmair, Carnegie Mellon University, USA Maura Grossman, University of Waterloo, Canada Mi-Young Kim, University of Alberta, Canada Mossab Bagdouri, Walmart Labs, USA Paulo Quaresma, Universidade de Evora, Portugal Prasenjit Majumder, DAIICT, India William Webber, William Webber Consulting, Australia === Organizing Committee === Arindam Pal, TCS Research and Innovation, India ( http://www.cse.iitd.ernet.in/~arindamp/) Arnab Bhattacharya, Indian Institute of Technology Kanpur, India ( https://www.cse.iitk.ac.in/users/arnabb/) Indrajit Bhattacharya, TCS Research and Innovation, India ( https://sites.google.com/site/indrajitb/) Kripabandhu Ghosh, Indian Institute of Technology Kanpur, India ( https://www.cse.iitk.ac.in/users/kripa/) Lipika Dey, TCS Research and Innovation, India ( http://sites.tcs.com/blogs/research-and-innovation/author/dr-lipika-dey) Marie-Francine Moens, KU Leuven, Belgium (https://people.cs.kuleuven.be /~sien.moens/) Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India ( http://cse.iitkgp.ac.in/~sghosh/) For details, see https://sites.google.com/site/legaldam2018/ Kind Regards, *Kripabandhu Ghosh* Co-organizer LeDAM 2018 Workshop CIKM 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From scherbaum at informatik.uni-goettingen.de Tue May 15 09:37:29 2018 From: scherbaum at informatik.uni-goettingen.de (Carmen Scherbaum) Date: Tue, 15 May 2018 15:37:29 +0200 Subject: Connectionists: Four professorships for Data Science (W3) and Artificial Intelligence/Machine Learning (W3, W2 t.t. W3) Message-ID: <820b267b-75cb-c299-50b8-07b69f3669e2@informatik.uni-goettingen.de> We would like to announce the following 4 professorships at the University of Goettingen (Germany): ********************************************************************************************************************************* The Faculty of Mathematics and Computer Science at the Georg-August-University of G?ttingen invites applications for the position of four professorships at the Institute of Computer Science in the context of the establishment of a Campus Institute Data Science. The newly established professors will participate in the development of the Campus Institute Data Science (CIDAS). CIDAS will be a joint institution of the members of the G?ttingen Campus including the University, the University Medical Center, five Max-Planck-Institutes, the Leibniz Institute for Primate Research, the Academy of Sciences and the German Aerospace Center G?ttingen. The members of CIDAS will pursue research at the convergence point of computer science, statistics, mathematics and application areas and will combine method development in the field of Data Science with cutting edge research in G?ttingen?s research foci. The future position holder shall have worked already successfully in research networks. We especially expect candidates to be willing to cooperate with colleagues in the Faculty of Mathematics and Computer Science as well as from other Faculties and Campus institutions. The candidates? research interests should ideally align with one or several of G?ttingen University?s research foci (https://www.uni-goettingen.de/en/505395.html). The appointed professors will conduct their teaching in the study programmes of the Faculty, in particular in the Bachelor?s programmes ?Applied Data Science? and ?Mathematical Data Science? and in the Bachelor and Master programme ?Applied Computer Science?. Conditions for appointment can be found in Section 25 of the Higher Education Law of Lower Saxony. As a Public Law Foundation, the University of G?ttingen has the right to appoint professors. Further details can be obtained upon request. Two positions of full professor (W3) for Data Science The future position holder shall have expertise in computer science, especially related to the field of Data Science method development in one or several of the following areas: Computer Vision and Imaging, Data Fusion / Data Merging, Data Management, Big Data, Graph and Network Optimization and Modeling, Natural Language Processing. Candidates shall have a track record of high level research in these fields, have high potential for groundbreaking research in internationally visible research projects along with profound experience in mentoring and advising university students. G?ttingen University is committed to research oriented teaching. https://s-lotus.gwdg.de/uni/umin/w3_data_science_2018.nsf/application Full professor (W3) for Artificial Intelligence / Machine Learning The future position holder shall have expertise in artificial intelligence, especially with a focus on machine learning or on foundations of machine learning. The University of G?ttingen aims to establish machine learning as research area by recruitments in its fields of application as well as in theoretical foundations. Candidates shall have a track record of high level research in artificial intelligence, in particular machine learning, have high potential for groundbreaking research in internationally visible research projects along with profound experience in mentoring and advising university students. G?ttingen University is committed to research oriented teaching. https://s-lotus.gwdg.de/uni/umin/w3_machine_learning_2018.nsf/application Associate Professor (Tenure Track) (W2 t.t. W3) for Artificial Intelligence / Machine Learning This professorship is funded by the German Federal and State governments through the programme ?Bund-L?nder-Programm zur F?rderung des wissenschaftlichen Nachwuchses (Nachwuchspakt)?. The initial appointment will be limited to five years. The transition to the permanent position of Full Professor (W3) takes effect following a successful evaluation. Preferably, the candidate has expertise in artificial intelligence, especially with a focus on machine learning or on foundations of machine learning. The University of G?ttingen aims to establish machine learning as research area by recruitments in its fields of application as well as in theoretical foundations. The future position holder shall have a track record of high level research in artificial intelligence, in particular machine learning, have high potential for groundbreaking research in internationally visible research projects along with profound experience in mentoring and advising university students. G?ttingen University is committed to research oriented teaching. https://s-lotus.gwdg.de/uni/umin/w2_machine_learning_2018.nsf/application Applications of international scientists are highly encouraged. The University is an equal opportunity and family friendly employer. We specifically encourage women to apply. Disabled persons with appropriate qualifications and aptitude for the position will be given special consideration. For further information please contact Prof. Dr. Dieter Hogrefe, Institute of Computer Science, hogrefe at informatik.uni-goettingen.de. Applications including CV, publications list and details of teaching and research experience including funded research projects should be submitted by June 15th, 2018, online via the application portals stated above. ****************************************************************************************************************** Kind regards, Carmen Scherbaum -- Carmen Scherbaum de Huam?n Georg-August-Universit?t G?ttingen Institut f?r Informatik Lehrstuhl f?r Telematik (Prof. Hogrefe) Goldschmidtstr. 7 (Raum 1.109) 37077 G?ttingen, Germany Tel. +49 551 39-172000 Fax +49 551 39-14403 http://www.ifi.informatik.uni-goettingen.de -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5384 bytes Desc: S/MIME Cryptographic Signature URL: From hakwan at gmail.com Tue May 15 19:38:40 2018 From: hakwan at gmail.com (Hakwan Lau) Date: Tue, 15 May 2018 16:38:40 -0700 Subject: Connectionists: postdoc @ UCLA: consciousness, AI, blockchain tech Message-ID: in collaboration with the industry (a startup company based in the Bay Area), we are looking for a postdoc to follow up on this . the ideal candidate may be someone with a computer science background, passionate for understanding neuroscience and human consciousness. familiarity with / interest in neural network modelling and/or blockchain tech a plus. the job will be primarily based at UCLA with frequent opportunities to travel to San Francisco & Hong Kong (not an obligation). please send CV to hakwan at gmail.com Hakwan Lau, D.Phil [my work & blog ] *This email may contain material that is confidential or privileged for the sole use of the intended recipient. Any review, reliance or distribution by others or forwarding without expressed permission is strictly prohibited. If you are not the intended recipient, please contact the sender and delete all copies.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From hakwan at gmail.com Tue May 15 20:00:35 2018 From: hakwan at gmail.com (Hakwan Lau) Date: Tue, 15 May 2018 17:00:35 -0700 Subject: Connectionists: postdoc @ UCLA: consciousness, AI, blockchain tech In-Reply-To: References: Message-ID: ps - if it is not too late (sorry), this ad may be better (with link to our collaborator) in collaboration with our partner in the industry , we are looking for a postdoc to follow up on this . the ideal candidate may be someone with a computational background, passionate for understanding neuroscience and human consciousness. familiarity with / interest in neural network modelling and/or blockchain-related tech a plus. the job will be primarily based at UCLA with frequent opportunities to travel to San Francisco & Hong Kong (not an obligation). please send CV to hakwan at gmail.com Hakwan Lau, D.Phil [my work & blog ] *This email may contain material that is confidential or privileged for the sole use of the intended recipient. Any review, reliance or distribution by others or forwarding without expressed permission is strictly prohibited. If you are not the intended recipient, please contact the sender and delete all copies.* On Tue, May 15, 2018 at 4:38 PM, Hakwan Lau wrote: > in collaboration with the industry (a startup company based in the Bay > Area), we are looking for a postdoc to follow up on this > . > the ideal candidate may be someone with a computer science background, > passionate for understanding neuroscience and human consciousness. > familiarity with / interest in neural network modelling and/or blockchain > tech a plus. the job will be primarily based at UCLA with frequent > opportunities to travel to San Francisco & Hong Kong (not an obligation). > please send CV to hakwan at gmail.com > > Hakwan Lau, D.Phil > [my work & blog > ] > > *This email may contain material that is confidential or privileged for > the sole use of the intended recipient. Any review, reliance or > distribution by others or forwarding without expressed permission is > strictly prohibited. If you are not the intended recipient, please contact > the sender and delete all copies.* > -------------- next part -------------- An HTML attachment was scrubbed... URL: From joseph.lizier at sydney.edu.au Tue May 15 20:54:11 2018 From: joseph.lizier at sydney.edu.au (Joseph Lizier) Date: Wed, 16 May 2018 10:54:11 +1000 Subject: Connectionists: Information theory workshop at CNS*2018 -- call for contributed talks Message-ID: <1526432051.17025.15.camel@scooby> Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at CNS*2018, Seattle, USA. The workshop will be held over the final two days of the main conference, July 17 and 18. Our confirmed invited speakers include the following (schedule available soon): * Braden Brinkman, Stony Brook University -- "Signal-to-noise ratio competes with neural bandwidth to shape efficient coding strategies" * Mireille Conrad, University of Geneva -- "Mutual information vs. transfer entropy in spike-based neuroscience" * Benjamin Cramer, University of Heidelberg -- "Information theory reveals a diverse range of states induced by spike timing based learning in neural networks" * Alex Dimitrov, Washington State University Vancouver -- "Modeling of perceptual invariances in biological sensory processing" * Eva Dyer, Georgia Tech -- "Finding low-dimensional structure in large-scale neural recordings" * Justin Gardner, Stanford University -- "Optimality and heuristics for human perceptual inference" * Jim Kay, University of Glasgow -- "Partial Information Decompositions based on Dependency Constraints" * Joseph T. Lizier, The University of Sydney -- "Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices" * Leonardo Novelli, The University of Sydney -- "Validation and performance of effective network inference using multivariate transfer entropy with IDTxl" * Tatyana Sharpee, Salk Institute for Biological Studies -- TBA * Nicholas M. Timme, Indiana University - Purdue University Indianapolis -- "From neural cultures to rodent models of disease: examples of information theory analyses of effective connectivity, computation, and encoding" * Taro Toyoizumi, RIKEN Brain Science Institute -- "Emergence of Levy Walks from Second-Order Stochastic Optimization" * Siwei Wang, Hebrew University of Jerusalem -- "Closing the gap from structure to function with information theoretic design principles" * Patricia Wollstadt, Goethe University, Frankfurt / Honda Research Institute Europe "Validation and performance of effective network inference using multivariate transfer entropy with IDTxl" Also, we would like to call for contributions of talks (25 min + 5 min Q&A). If you are interested in contributing such a talk, please send a title and abstract to Joseph Lizier (joseph.lizier at sydney.edu.au) by Friday June 8, 2018. Please see our website http://bit.ly/cns2018itw for more details. We hope you will join us there! Organising Committee: Joseph Lizier Viola Priesemann Justin Dauwels Taro Toyoizumi Alexander Dimitrov Lubomir Kostal Michael Wibral -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.gruning at surrey.ac.uk Wed May 16 04:48:58 2018 From: a.gruning at surrey.ac.uk (a.gruning at surrey.ac.uk) Date: Wed, 16 May 2018 08:48:58 +0000 Subject: Connectionists: Neuroplasticity Workshop: From Bench to Machine Learning 13 July 2018 - 14 July 2018 -- University of Surrey near London In-Reply-To: References: Message-ID: Dear colleagues, Full information at . Neuroplasticity: From Bench to Machine Learning 13 July 2018 - 14 July 2018 The Surrey Sleep Research Centre, the Department of Computer Science, and the Institute of Advance Studies at the University of Surrey are pleased to announce a call for participation in and contributions to a two-day workshop where researchers can share and discuss the current advances in neuroplasticity and machine learning and their mutual inspiration. On one hand, Neuroscience keeps discovering new mechanisms involved in neural plasticity and its modulation, which involves the so-called ?third factors? (e.g. dendritic computations, glia, neurotransmitters) and dynamics of neural networks (e.g. oscillations). However the functional and computational interpretation of these phenomena and their utilisation in machine learning remains to be explored. On the other hand, the advent of ?deep networks? in machine learning has allowed us to model artificial neural networks that perform highly complex tasks (e.g. chess, go, image classification). But to date, none of these modeling approaches competes with general human or animal intelligence in terms of cost-effectiveness or domain-transferability. The main goal of this workshop will be to discuss the missing links between neural-level phenomena and their computational function on behavioural or technical level. This meeting will bring together international and national leaders in the fields of synaptic function and plasticity, network dynamic, computational neuroscience and machine learning and will offer a unique platform to establish new interdisciplinary collaborations. CONFIRMED SPEAKERS Katharina Wilmes, Imperial College London, UK Matthew Larkum, Humboldt-Universit?t zu Berlin, Germany Cyril Hanus, INSERM U894, France Brendon Watson, University of Michigan, USA Keith Hengen, Washington University, USA Giorgos Kastellakis, IMBB-FORTH, Crete Friedemann Zenke, University of Oxford Connor Houghton, University of Bristol Liam McDaid, Ulster University David Lester, SpiNNaker, University of Manchester Tiina Maninen, Technical University of Turku From asier.erramuzpe at gmail.com Wed May 16 06:06:31 2018 From: asier.erramuzpe at gmail.com (Asier Erramuzpe Aliaga) Date: Wed, 16 May 2018 12:06:31 +0200 Subject: Connectionists: Lecturer and Senior Lecturer Positions at QMUL Message-ID: [On behalf of Simon Lucas ] Dear all, Please see the following (equivalent to Assistant / Associate Professor) Lecturer/Senior Lecturer (Teaching & Research) in Applied Data Science, AI and/or Machine Learning: https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3315 Lecturer/Senior Lecturer (Teaching & Research) in Information Technology Management: https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3314 Best wishes, Simon -- Simon Lucas Professor of Artificial Intelligence Head of School Electronic Engineering and Computer Science Queen Mary University of London -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.aldegheri at gmail.com Wed May 16 12:19:48 2018 From: giacomo.aldegheri at gmail.com (Giacomo Aldegheri) Date: Wed, 16 May 2018 18:19:48 +0200 Subject: Connectionists: Postdoc in visual cognitive neuroscience at the Donders Institute, The Netherlands In-Reply-To: References: Message-ID: <98BD32EF-99AA-4B8A-B1FD-2619460CF2D3@gmail.com> An ERC-funded postdoctoral position (2+2 years) is available in the group of Marius Peelen at the Donders Institute (Nijmegen, The Netherlands). In this project, we will use fMRI and advanced analysis methods (e.g., hyperalignment) to study the representation of objects and scenes in the visual cortex, and characterise how attention and expectation influence these representations. The Donders Institute for Brain, Cognition and Behaviour focuses on state-of-the-art cognitive neuroscience, using a multidisciplinary approach, and offers excellent lab and neuroimaging facilities, courses, and technical support. Preference will be given to candidates with a PhD in cognitive neuroscience or a related field, who have a strong motivation to pursue a scientific career. Experience with fMRI and scientific programming (e.g. MATLAB, Python) is required. A background in vision and/or attention research is desirable. For informal inquiries, please email m.peelen at donders.ru.nl For more information about our work, see: https://sites.google.com/site/peelenlab To apply, please visit: http://www.ru.nl/werken/details/details_vacature_0/?recid=601361 Marius will be at VSS to meet interested candidates. > On May 16, 2018, at 6:02 PM, connectionists-request at mailman.srv.cs.cmu.edu wrote: > > Send Connectionists mailing list submissions to > connectionists at mailman.srv.cs.cmu.edu > > To subscribe or unsubscribe via the World Wide Web, visit > https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists > or, via email, send a message with subject or body 'help' to > connectionists-request at mailman.srv.cs.cmu.edu > > You can reach the person managing the list at > connectionists-owner at mailman.srv.cs.cmu.edu > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Connectionists digest..." > > > Today's Topics: > > 1. postdoc @ UCLA: consciousness, AI, blockchain tech (Hakwan Lau) > 2. Re: postdoc @ UCLA: consciousness, AI, blockchain tech > (Hakwan Lau) > 3. Information theory workshop at CNS*2018 -- call for > contributed talks (Joseph Lizier) > 4. Neuroplasticity Workshop: From Bench to Machine Learning 13 > July 2018 - 14 July 2018 -- University of Surrey near London > (a.gruning at surrey.ac.uk) > 5. Lecturer and Senior Lecturer Positions at QMUL > (Asier Erramuzpe Aliaga) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Tue, 15 May 2018 16:38:40 -0700 > From: Hakwan Lau > To: connectionists at mailman.srv.cs.cmu.edu > Subject: Connectionists: postdoc @ UCLA: consciousness, AI, blockchain > tech > Message-ID: > > Content-Type: text/plain; charset="utf-8" > > in collaboration with the industry (a startup company based in the Bay > Area), we are looking for a postdoc to follow up on this > . the > ideal candidate may be someone with a computer science background, > passionate for understanding neuroscience and human consciousness. > familiarity with / interest in neural network modelling and/or blockchain > tech a plus. the job will be primarily based at UCLA with frequent > opportunities to travel to San Francisco & Hong Kong (not an obligation). > please send CV to hakwan at gmail.com > > Hakwan Lau, D.Phil > [my work & blog > ] > > *This email may contain material that is confidential or privileged for the > sole use of the intended recipient. Any review, reliance or distribution by > others or forwarding without expressed permission is strictly prohibited. > If you are not the intended recipient, please contact the sender and delete > all copies.* > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: > > ------------------------------ > > Message: 2 > Date: Tue, 15 May 2018 17:00:35 -0700 > From: Hakwan Lau > To: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: postdoc @ UCLA: consciousness, AI, > blockchain tech > Message-ID: > > Content-Type: text/plain; charset="utf-8" > > ps - if it is not too late (sorry), this ad may be better (with link to our > collaborator) > > in collaboration with our partner in the industry > , we are looking for a postdoc to > follow up on this > . the > ideal candidate may be someone with a computational background, passionate > for understanding neuroscience and human consciousness. familiarity with / > interest in neural network modelling and/or blockchain-related tech a plus. > the job will be primarily based at UCLA with frequent opportunities to > travel to San Francisco & Hong Kong (not an obligation). please send CV to > hakwan at gmail.com > > > Hakwan Lau, D.Phil > [my work & blog > ] > > *This email may contain material that is confidential or privileged for the > sole use of the intended recipient. Any review, reliance or distribution by > others or forwarding without expressed permission is strictly prohibited. > If you are not the intended recipient, please contact the sender and delete > all copies.* > > On Tue, May 15, 2018 at 4:38 PM, Hakwan Lau wrote: > >> in collaboration with the industry (a startup company based in the Bay >> Area), we are looking for a postdoc to follow up on this >> . >> the ideal candidate may be someone with a computer science background, >> passionate for understanding neuroscience and human consciousness. >> familiarity with / interest in neural network modelling and/or blockchain >> tech a plus. the job will be primarily based at UCLA with frequent >> opportunities to travel to San Francisco & Hong Kong (not an obligation). >> please send CV to hakwan at gmail.com >> >> Hakwan Lau, D.Phil >> [my work & blog >> ] >> >> *This email may contain material that is confidential or privileged for >> the sole use of the intended recipient. Any review, reliance or >> distribution by others or forwarding without expressed permission is >> strictly prohibited. If you are not the intended recipient, please contact >> the sender and delete all copies.* >> > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: > > ------------------------------ > > Message: 3 > Date: Wed, 16 May 2018 10:54:11 +1000 > From: Joseph Lizier > To: comp-neuro at neuroinformatics.be, connectionists at cs.cmu.edu > Subject: Connectionists: Information theory workshop at CNS*2018 -- > call for contributed talks > Message-ID: <1526432051.17025.15.camel at scooby> > Content-Type: text/plain; charset="utf-8" > > Dear all, > > We are pleased to announce that the Workshop on Methods of Information > Theory in Computational Neuroscience will be held once again at > CNS*2018, Seattle, USA. > The workshop will be held over the final two days of the main > conference, July 17 and 18. > > Our confirmed invited speakers include the following (schedule available > soon): > > * Braden Brinkman, Stony Brook University -- "Signal-to-noise > ratio competes with neural bandwidth to shape efficient coding > strategies" > * Mireille Conrad, University of Geneva -- "Mutual information vs. > transfer entropy in spike-based neuroscience" > * Benjamin Cramer, University of Heidelberg -- "Information theory > reveals a diverse range of states induced by spike timing based > learning in neural networks" > * Alex Dimitrov, Washington State University Vancouver -- > "Modeling of perceptual invariances in biological sensory > processing" > * Eva Dyer, Georgia Tech -- "Finding low-dimensional structure in > large-scale neural recordings" > * Justin Gardner, Stanford University -- "Optimality and > heuristics for human perceptual inference" > * Jim Kay, University of Glasgow -- "Partial Information > Decompositions based on Dependency Constraints" > * Joseph T. Lizier, The University of Sydney -- "Pointwise Partial > Information Decomposition Using the Specificity and Ambiguity > Lattices" > * Leonardo Novelli, The University of Sydney -- "Validation and > performance of effective network inference using multivariate > transfer entropy with IDTxl" > * Tatyana Sharpee, Salk Institute for Biological Studies -- TBA > * Nicholas M. Timme, Indiana University - Purdue University > Indianapolis -- "From neural cultures to rodent models of > disease: examples of information theory analyses of effective > connectivity, computation, and encoding" > * Taro Toyoizumi, RIKEN Brain Science Institute -- "Emergence of > Levy Walks from Second-Order Stochastic Optimization" > * Siwei Wang, Hebrew University of Jerusalem -- "Closing the gap > from structure to function with information theoretic design > principles" > * Patricia Wollstadt, Goethe University, Frankfurt / Honda > Research Institute Europe "Validation and performance of > effective network inference using multivariate transfer entropy > with IDTxl" > > > Also, we would like to call for contributions of talks (25 min + 5 min > Q&A). If you are interested in contributing such a talk, please send a > title and abstract to Joseph Lizier (joseph.lizier at sydney.edu.au) by > Friday June 8, 2018. > > Please see our website http://bit.ly/cns2018itw for more details. > > We hope you will join us there! > > Organising Committee: > Joseph Lizier > Viola Priesemann > Justin Dauwels > Taro Toyoizumi > Alexander Dimitrov > Lubomir Kostal > Michael Wibral > > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: > > ------------------------------ > > Message: 4 > Date: Wed, 16 May 2018 08:48:58 +0000 > From: > To: > Subject: Connectionists: Neuroplasticity Workshop: From Bench to > Machine Learning 13 July 2018 - 14 July 2018 -- University of Surrey > near London > Message-ID: > > > Content-Type: text/plain; charset="Windows-1252" > > Dear colleagues, > > Full information at . > > Neuroplasticity: From Bench to Machine Learning 13 July 2018 - 14 July 2018 > > The Surrey Sleep Research Centre, the Department of Computer Science, and the Institute of Advance Studies at the University of Surrey are pleased to announce a call for participation in and contributions to a two-day workshop where researchers can share and discuss the current advances in neuroplasticity and machine learning and their mutual inspiration. > > On one hand, Neuroscience keeps discovering new mechanisms involved in neural plasticity and its modulation, which involves the so-called ?third factors? (e.g. dendritic computations, glia, neurotransmitters) and dynamics of neural networks (e.g. oscillations). However the functional and computational interpretation of these phenomena and their utilisation in machine learning remains to be explored. On the other hand, the advent of ?deep networks? in machine learning has allowed us to model artificial neural networks that perform highly complex tasks (e.g. chess, go, image classification). But to date, none of these modeling approaches competes with general human or animal intelligence in terms of cost-effectiveness or domain-transferability. > > The main goal of this workshop will be to discuss the missing links between neural-level phenomena and their computational function on behavioural or technical level. This meeting will bring together international and national leaders in the fields of synaptic function and plasticity, network dynamic, computational neuroscience and machine learning and will offer a unique platform to establish new interdisciplinary collaborations. > > > CONFIRMED SPEAKERS > > Katharina Wilmes, Imperial College London, UK > Matthew Larkum, Humboldt-Universit?t zu Berlin, Germany > Cyril Hanus, INSERM U894, France > Brendon Watson, University of Michigan, USA > Keith Hengen, Washington University, USA > Giorgos Kastellakis, IMBB-FORTH, Crete > Friedemann Zenke, University of Oxford > Connor Houghton, University of Bristol > Liam McDaid, Ulster University > David Lester, SpiNNaker, University of Manchester > Tiina Maninen, Technical University of Turku > > > ------------------------------ > > Message: 5 > Date: Wed, 16 May 2018 12:06:31 +0200 > From: Asier Erramuzpe Aliaga > To: connectionists at mailman.srv.cs.cmu.edu > Subject: Connectionists: Lecturer and Senior Lecturer Positions at > QMUL > Message-ID: > > Content-Type: text/plain; charset="utf-8" > > [On behalf of Simon Lucas ] > > Dear all, > > Please see the following (equivalent to Assistant / Associate Professor) > > Lecturer/Senior Lecturer (Teaching & Research) in Applied Data Science, AI > and/or Machine Learning: > > https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3315 > > Lecturer/Senior Lecturer (Teaching & Research) in Information Technology > Management: > > https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3314 > > > Best wishes, > Simon > -- > Simon Lucas > Professor of Artificial Intelligence > Head of School > Electronic Engineering and Computer Science > Queen Mary University of London > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > Connectionists mailing list > Connectionists at mailman.srv.cs.cmu.edu > https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists > > ------------------------------ > > End of Connectionists Digest, Vol 582, Issue 3 > ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Wed May 16 12:28:19 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Wed, 16 May 2018 16:28:19 +0000 Subject: Connectionists: LVA/ICA 2018: Call for Late-Breaking Posters & Demos: Deadline 23 May Message-ID: Dear Connectionists, We are pleased to invite you to submit an extended abstract to support a late-breaking poster presentation or demonstration at LVA/ICA 2018, the 14th International Conference on Latent Variable Analysis and Signal Separation, Guildford, UK, 2-6 July 2018. Late-breaking posters/demonstrations are a new feature of LVA/ICA 2018. Extended abstracts may provide an overview of prototype systems, initial concepts, and early results that may be of interest to the latent variable analysis and signal separation community. If you would like to present your work as a poster or give a demo at the conference, please submit an extended abstract as a PDF (2 pages maximum) directly to lva.ica.2018 at gmail.com by 23 May for a rapid peer-review. Accepted abstracts will be not be included in the LVA/ICA 2018 proceedings, but will be made freely available via the conference website. For further details, including submission templates, see: http://cvssp.org/events/lva-ica-2018/late_breaking/ Best wishes, Mark Plumbley Co-Chair, LVA/ICA 2018 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk ================================================================================ LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ================================================================================ From elizabeth.wiesman at wright.edu Wed May 16 12:57:30 2018 From: elizabeth.wiesman at wright.edu (Wiesman, Liz) Date: Wed, 16 May 2018 16:57:30 +0000 Subject: Connectionists: CORRECTION Listserv Posting request Message-ID: Apologies, there was a date type-o my content. Please post using this language: ************************************************************************************ SUBJECT: Postdoc Cognitive Neuroscientist Position Dear Colleagues, A fully funded research position is available at the Wright State Research Institute of Wright State University, Dayton Ohio. The Cognitive Neuroscientist will join a team conducting research involving high-level cognition, including executive functions such as attention control, working memory and cognitive inhibition, as well as related cognitive functions such as decision making and learning & memory. The ideal candidate possesses a PhD in Neuroscience, Cognitive Science, or related discipline, and a minimum of 2 year's research experience. Experience with one or more non-invasive neuroimaging modalities, in particular EEG and/or fMRI, is preferred. Familiarity with non-invasive neurostimulation techniques is also a plus but is not required. Note that candidates must be US citizens. For more details about the position, or to submit a formal application to Wright State University's HR website, see the following link: https://jobs.wright.edu/postings/12869 Further inquiries can be made directly to: elizabeth.wiesman at wright.edu Elizabeth Wiesman Business Administration Director Wright State Research Institute 4035 Colonel Glenn Highway Beavercreek, OH 45431 PH: 937.705.1006 SECURE FAX: 937.705.1302 EMAIL: elizabeth.wiesman at wright.edu From: Wiesman, Liz Sent: Wednesday, May 16, 2018 12:52 PM To: connectionists at mailman.srv.cs.cmu.edu Cc: Wiesman, Liz ; Kriel, Olivia Mckenzie Subject: Listserv Posting request Please post this announcement to your listserv: ***************************************************************** SUBJECT: Postdoc Cognitive Neuroscientist Position Dear Colleagues, A fully funded research position is available at the Wright State Research Institute of Wright State University, Dayton Ohio. The Cognitive Neuroscientist will join a team conducting research involving high-level cognition, including executive functions such as attention control, working memory and cognitive inhibition, as well as related cognitive functions such as decision making and learning & memory. The ideal candidate possesses a PhD in Neuroscience, Cognitive Science, or related discipline, and a minimum of 2 year's research experience. Experience with one or more non-invasive neuroimaging modalities, in particular EEG and/or fMRI, is preferred. Familiarity with non-invasive neurostimulation techniques is also a plus but is not required. Note that candidates must be US citizens. We anticipate a start date of 1 April 2018, but are flexible in this regard. For more details about the position, or to submit a formal application to Wright State University's HR website, see the following link: https://jobs.wright.edu/postings/12869 Further inquiries can be made directly to: elizabeth.wiesman at wright.edu Elizabeth Wiesman Business Administration Director Wright State Research Institute 4035 Colonel Glenn Highway Beavercreek, OH 45431 PH: 937.705.1006 SECURE FAX: 937.705.1302 EMAIL: elizabeth.wiesman at wright.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From carlo.colombo at unifi.it Thu May 17 13:28:37 2018 From: carlo.colombo at unifi.it (Carlo Colombo) Date: Thu, 17 May 2018 19:28:37 +0200 Subject: Connectionists: CFP 3DV 2018 - 6th Int'l Conf. on 3D Vision - Verona (Italy) - DEADLINE 25 MAY 2018 Message-ID: <778a5115-7ae2-7120-a12e-a7591ad7ecee@unifi.it> *************************************************** ??? 3DV 2018 CALL FOR PAPERS/DEMOS/TUTORIALS ??????? Apologies for multiple posting ?Please distribute this call to interested parties *************************************************** ??????????????? --------------- ??????????????? CALL FOR PAPERS ??????????????? --------------- 6th International Conference on 3D Vision (3DV 2018) ??????? Verona, Italy, September 5-8, 2018 ?????????? >>>>>>> www.3dv.org <<<<<<< **************************************** ?????????? Important Dates **************************************** Paper submission deadline:? May 25, 2018 Acceptance notification:?? July 17, 2018 Camera ready paper:??????? July 30, 2018 Conference:????????? September 5-8, 2018 ---------------- Keynote speakers ---------------- Michael Bronstein - Universita' della Svizzera Italiana Venu Madhav Govindu - Indian Institute of Science Marc Pollefeys - ETH Zurich The 6th international conference on 3D Vision will be held in Verona, Italy, September 5-8, 2018. Since 2013, under the name 3DV, this event has provided a premier platform for disseminating research results covering a broad variety of topics in the area of 3D research in computer vision and graphics, from novel optical sensors, signal processing, geometric modelling, representation and transmission, to visualisation and interaction, and a variety of applications. 3DV 2018 will showcase high quality single-track oral and poster presentations, and demonstration sessions. It will also feature industrial exhibitions held in conjunction with the main conference. Proposals for Tutorials and Demos are also invited. Accepted papers will be published in the IEEE Conference Publishing Services (CPS) and submitted to IEEE Xplore and CSDL. ------------------ Topics of interest ------------------ ACQUISITION??????????????????????????????? ANALYSIS - Geometry???????????????????????????????? - Shape recognition - Calibration????????????????????????????? - Shape retrieval - Photometric stereo and Shape from X????? - Shape analysis - Photogrammetry?????????????????????????? - Segmentation - Structure from motion and SLAM?????????? - Motion and tracking - Dense reconstruction and stereo????????? - Body, face and gesture - Structured light and TOF sensors - Computational photography??????????????? RENDERING AND INTERACTION ?????????????????????????????????????????? - Image-based rendering MODELLING????????????????????????????????? - Applied perception - Shape modelling and editing????????????? - Augmented and mixed reality - Geometry processing????????????????????? - Human-computer interaction - Appearance modelling - Registration???????????????????????????? APPLICATIONS - Shape description and features?????????? - Medical - Morphable models???????????????????????? - Robotics ?????????????????????????????????????????? - Cultural heritage ?????????????????????????????????????????? - Industrial ?????????????????????????????????????????? - Entertainment ?????????????????????????????????????????? - Digital fabrication ---------- Organizers ---------- General Chair Andrea Fusiello - University of Udine Program Chairs Umberto Castellani - University of Verona Tomas Pajdla - Czech Technical University in Prague Yoichi Sato - University of Tokyo Alla Sheffer - University of British Columbia -------------- Call for demos -------------- 3DV 2018 solicits submission of demos concerning methods, systems and applications in the broad area of 3D Computer Vision. Inquiries on the demo submission process may be sent to 3dv18demos at 3dv.org. Further information can be found at www.3dv.org. Demo submission deadline:? June 30th, 2018 Acceptance notification:?? July 31st, 2018 ------------------ Call for tutorials ------------------ 3DV 2018 will host tutorials on topics related to 3D research in Computer Vision. Inquiries on the tutorial submission process may be sent to 3dv18tutorials at 3dv.org. Further information can be found at www.3dv.org. Tutorial submission deadline: June 15th, 2018 Acceptance notification:????? July 1st, 2018 >>>>>>> For more information please visit www.3dv.org <<<< -- from: Prof. Carlo Colombo - Publicity Chair, 3DV 2018 Computational Vision Group @ University of Florence, Italy --- Questa e-mail ? stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus From trygve.solstad at ntnu.no Thu May 17 16:42:00 2018 From: trygve.solstad at ntnu.no (Trygve Solstad) Date: Thu, 17 May 2018 20:42:00 +0000 Subject: Connectionists: Postdoc and PhD positions in Mathematical Cognition at NTNU, Norway Message-ID: <1526589701111.89187@ntnu.no> We invite applications for one Postdoc and one PhD position in the group for Mathematical Cognition at the Norwegian University of Science and Technology (NTNU). The group works to advance theories of mathematical cognition by combining empirical and computational research in the intersection of mathematics education, cognitive sciences, and artificial intelligence. The positions are part of the project ?Mathematical reasoning with cognitive technology? with the aim to develop computational models of mathematical reasoning and problem solving. Relevant methods include neural networks, reinforcement learning, probabilistic programming, etc. The project is a collaboration between researchers from NTNU, Stanford University, Rutgers University, and the Education Development Center. Application deadline: June 1, 2018 Full position postings with application details can be found here: PhD position: https://www.jobbnorge.no/en/available-jobs/job/152899/phd-position-in-mathematical-cognition Postdoc position: https://www.jobbnorge.no/en/available-jobs/job/152895/postdoctoral-fellow-in-mathematical-cognition-su-190 For more information about the positions, please contact trygve.solstad at ntnu.no Best regards, Trygve Solstad From serge.thill at his.se Fri May 18 07:46:04 2018 From: serge.thill at his.se (Serge Thill) Date: Fri, 18 May 2018 11:46:04 +0000 Subject: Connectionists: Positions as Lecturer/Associate Professor in Robotics at University of Plymouth References: Message-ID: [Apologies for cross-posting] The position below may be of interest to this community. In addition, note that we also have an open position in computer science (see http://www.jobs.ac.uk/job/BJB737/lecturer-associate-professor-in-computer-science/ ) Best wishes, Serge The University of Plymouth is seeking to fill two positions as Lecturer/Associate Professor in Robotics. General Description The School offers a wide range of degree programmes related to Technology in the areas of Robotics, Electrical & Electronic Engineering, Computer Science and Mathematics. We provide a stimulating teaching and research environment with strong connections to business and industry and offer excellent employment prospects for our graduates. We have a well-established interdisciplinary research base which covers: Centre for Robotics and Neural Systems (CRNS); Security, Communications & Networks; Nanotechnology & Electronics Research and Development. Four current active areas of research in Plymouth are the design and construction of agricultural robots for fruit and vegetable harvesting; the study of human-robot interaction and collaboration; the computational modelling and development of manipulation systems based on experimental investigations of human motor control and the design and development of robotic applications for Urban Search & Rescue and Nuclear Decommissioning. We have vacancies for enthusiastic, innovative and dynamic individuals to join our vibrant School to support Robotics and Machine Learning, especially as applied to solving real-world problems by building systems that can operate near people. Areas of interest include (but are not limited to) aspects of robotics systems such as sensors and actuators, kinematics and dynamics, autonomous mobile platforms and deep learning for control and recognition. Required qualifications Applications are invited from academics and/or professional engineers, who can demonstrate a commitment and enthusiasm for innovation in higher education and to the development of the next generation of Robotic Engineers. You must have undergraduate and postgraduate degrees in relevant disciplines (such as Engineering/Maths/Physics/Computer Science) together with an international profile and reputation for research excellence. We offer * Salary: from ?33,518 to ?56,950 (Grade 7/8/9) depending on the candidate's qualification and the level of experience * Contract Type: full-time, working 37 hours per week on a permanent basis Duties and responsibilities As well as carrying out cutting edge research, you will supervise and contribute to training of Research Assistants (RAs) and PhD students, as well as contributing to teaching on the undergraduate and postgraduate Robotics programmes, as well as other courses within the School. The Electronics and Robotics subject groups are renowned for excellence in producing high quality hands-on engineers and you should be able to support practical hardware and software projects. How to apply Candidates can apply online by visiting the application link below: http://www.jobs.ac.uk/job/BJS594/lecturer-associate-professor-in-robotics/ Contact for informal discussion: For informal queries, do not hesitate to contact Dr Ian Howard (ian.howard at plymouth.ac.uk). Further information about the school and its courses is available at: www.plymouth.ac.uk/compmath, with details of our research centre available at: www.plymouth.ac.uk/research/crns Closing date: 12 midnight, Thursday 31 May 2018. University of Plymouth is committed to an inclusive culture and respecting diversity and welcomes applications from all sections of the community and is a Stonewall diversity champion. The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women?s careers in STEMM academia. University of Plymouth has been recognised by Bloomberg as one of the 50 best UK employers for 2016. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Fri May 18 09:34:39 2018 From: Pavis at iit.it (Pavis) Date: Fri, 18 May 2018 13:34:39 +0000 Subject: Connectionists: One Postdoc position in PAVIS on automatic visual inspection - [ Postdoc ] 74472 In-Reply-To: References: , Message-ID: <7464dc88f71744308c4034f6dbff9b2b@iit.it> One Postdoc position in PAVIS on automatic visual inspection - [ Postdoc ] 74472 Workplace: Genova, IIT, Italy Added on: 16/05/2018 - Expires on 16/06/2018 The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for a highly qualified researcher with a strong background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other related areas (e.g., recognition, video analysis, etc.). The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other IIT research units providing ad hoc solutions to scientists in Neuroscience, Nanophysics, and other IIT departments/centers. To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners. This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a system that can inspect manufactured objects to detect defects or damages over the parts, like cracks, fissures, discoloration and other types of defects. This implies the development of novel algorithms for object detection, classification and quality control that discriminate explicitly the photometric attributes of each object part. In particular, this new inspection problem will require the study of different types of features as the one extracted in deep learning frameworks. This project will be carried out in collaboration with a major industrial partner. Candidates to this position must have a PhD in computer vision, pattern recognition or related areas, and research experience and qualification should follow the same lines. Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is therefore mandatory. Experience of the involvement (e.g., management, preparation or actual work) in funded research or industrial proposals (EU, US, national), and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD students and collaborate with other scientists, also with different expertise. Salary will be commensurate to qualification and experience and in line with international standards. Workplace is Genova, Italy. Further details and informal inquiries can be made by email to pavis at iit.it quoting PAVIS- BC 74472 as reference number. Please send your application, including a CV listing all publications (possibly including a pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and names of 2 referees to pavis at iit.it quoting PAVIS- BC 74472 as reference number. This call will remain open and applications will be reviewed until the position is filled, but please apply by June 16, 2018. IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From elizabeth.wiesman at wright.edu Fri May 18 11:21:36 2018 From: elizabeth.wiesman at wright.edu (Wiesman, Liz) Date: Fri, 18 May 2018 15:21:36 +0000 Subject: Connectionists: Resending with Subject Linke Listserv Posting request Message-ID: Please post this announcement to your listserv: ***************************************************************** SUBJECT: Position Opening for Cognitive Neuroscientist Dear Colleagues, A fully funded research position is available at the Wright State Research Institute of Wright State University, Dayton Ohio. The Cognitive Neuroscientist will join a team conducting research involving high-level cognition, including executive functions such as attention control, working memory and cognitive inhibition, as well as related cognitive functions such as decision making and learning & memory. The ideal candidate possesses a PhD in Neuroscience, Cognitive Science, or related discipline, and a minimum of 2 year's research experience. Experience with one or more non-invasive neuroimaging modalities, in particular EEG and/or fMRI, is preferred. Familiarity with non-invasive neurostimulation techniques is also a plus but is not required. Note that candidates must be US citizens. For more details about the position, or to submit a formal application to Wright State University's HR website, see the following link: https://jobs.wright.edu/postings/12869 Further inquiries can be made directly to: elizabeth.wiesman at wright.edu Elizabeth Wiesman Business Administration Director Wright State Research Institute 4035 Colonel Glenn Highway Beavercreek, OH 45431 PH: 937.705.1006 SECURE FAX: 937.705.1302 EMAIL: elizabeth.wiesman at wright.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From pierre-yves.oudeyer at inria.fr Fri May 18 16:29:27 2018 From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer) Date: Fri, 18 May 2018 22:29:27 +0200 Subject: Connectionists: [job] PhD position opening in Machine Learning for Adaptive Language interaction with an intelligent dialog companion. Message-ID: <19A91BDB-78C4-40CC-ACCC-E811FA89E18B@inria.fr> *Title: Machine Learning for Adaptive Language interaction with an intelligent dialog companion *Keywords: Deep reinforcement learning, interactive machine learning, natural language processing, neural networks, intelligent dialog companion *Context: The thesis takes place in the context of a collaboration between the Robot Cognition Laboratory (INSERM/CNRS), the innovation services department of Intrinsic Cloud Temple, and the Flowers laboratory (Inria). *Background: Based on RCL experience in human-robot cooperation and learning, we have developed an intelligent agent that accompanies humans in their experience using web-based tools, learns from explicit demonstration, and allows the user to re-use and recompose learned plans to form more complex structured plans. *Project: For the moment, the system learns from demonstration. The project will extend and study algorithms for interactive machine learning (using Deep RL) to include language instructions as one of the ways that the system can learn, that is, by using the invariant structure of the human verbal description to organize procedural representations. This will advance the state of the art in the integration of language into reinforcement learning systems. * Location: Lyon and Nanterre, France (Inserm and Cloud Temple) * Response modalities: Send (1) a letter of motivation stating your interest in the project, (2) a CV, and (3) two letters of recommendation to the three addresses for Jean-Michel Dussoux, Peter Ford Dominey, and Pierre-Yves Oudeyer listed in the call, with the subject [Intelligent Assistant PhD]. jmd at intrinsec.com; pierre-yves.oudeyer at inria.fr; peter.dominey at inserm.fr More details: https://www.dropbox.com/s/g5ksylrrlgatkf2/RCL-CT-THESE-interaction-manager-finalV2.pdf?dl=0 -------------- next part -------------- An HTML attachment was scrubbed... URL: From francois.fleuret at idiap.ch Sat May 19 07:15:40 2018 From: francois.fleuret at idiap.ch (Francois Fleuret) Date: Sat, 19 May 2018 13:15:40 +0200 Subject: Connectionists: Two PhD positions in Deep Learning (Idiap/EPFL, Switzerland) Message-ID: <23296.1884.203452.347868@swan.fleuret.org> Dear all, Please find below an announce for an open PhD position at the Idiap Research Institute in Switzerland. Best, -- Francois Fleuret http://www.idiap.ch/~fleuret/ ====================================================================== Two PhD positions in Deep Learning at the Idiap Research Institute, Switzerland[1], starting as early as possible but can be delayed if necessary. ** Please apply on-line at http://www.idiap.ch/~fleuret/apply ** The Machine Learning group at the Idiap Research Institute[2], affiliated with ?cole Polytechnique F?d?rale de Lausanne[3], seeks two PhD students in deep learning and computer vision to work on real-time inference in low-computation environment and transfer learning for semantic segmentation. The candidates will be doctoral students at EPFL[4,5], working under the supervision of Dr. Fran?ois Fleuret[6] at the Idiap Research Institute. Applicants must be self-sufficient programmers and have a strong background in mathematics. They should be interested in, and familiar with, applied probabilities, information theory, signal processing, optimization, algorithmic, and development in deep-learning frameworks. The Idiap Research Institute is located in Valais[7], a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and within close proximity to Lausanne and Geneva. The working language of Idiap is English. ---- [1] http://www.idiap.ch [2] http://www.idiap.ch/mlg/ [3] http://www.epfl.ch [4] http://sti.epfl.ch/page-1616-en.html [5] http://phd.epfl.ch/edic/ [6] http://www.idiap.ch/~fleuret/ [7] https://en.wikipedia.org/wiki/Canton_of_Valais ====================================================================== From fbln at ecomp.poli.br Sat May 19 08:44:53 2018 From: fbln at ecomp.poli.br (Prof. Fernando Buarque) Date: Sat, 19 May 2018 09:44:53 -0300 Subject: Connectionists: FINAL CALL FOR PAPERS - 2018 IEEE 5th Latin-American Conference on Computational Intelligence (IEEE LA-CCI 2018) Message-ID: Dear Colleagues, -Greetings from Latin America! On the behalf of the organizers, I am glad to invite you and your lab-members to submit your recent results to the * -2018 IEEE ? 5th Latin-American Conference on Computational Intelligence (IEEE LA-CCI 2018)* Your students may also be willing to participate at the inspiring: * -2018 IEEE LA-CCI School on Computational Intelligence & Applications (IEEE SSo-CIA 2018)* * -2018 LA-CCI Theses Contest on Computational Intelligence & Applications * In 2018, our event will be held in Guadalajara-Mexico, on November, 7-9th. Again, this edition is supported by IEEE-CIS, as well as by CI Societies and Research Groups from Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico (Host), Peru and Venezuela *"LA-CCI is an exciting international event on Computational Intelligence held in Latin America to colleagues worldwide"* Please do send your manuscripts and let us all meet in Guadalajara, one of the major technology hubs and a lively cultural heritage of Mexico! We have 10 confirmed great key-speakers. Cordially, Fernando Buarque Prof. Fernando Buarque , BSc MSc DIC PhD(UK) Hab(BR) AvH Fellow(DE), Senior Memb. IEEE(USA), Accred. Res. CNPq(BR) Associate Professor - School of Engineering/University of Pernambuco-UPE, Brazil (POLI /UPE ) Adjunct Professor - Electrical&Computer Engineering/Texas A&M University, USA (ECE at TAMU ) Visiting Professor - School of Business and Economics-European Research Center for IS/University of M?nster, Germany (ERCIS ) Visiting Professor - Electrical Engineering/University of Johannesburg, South Africa (Kingsway Campus ) *** Further information about the event is as follows: *IMPORTANT DATES* PAPERS: -Submissions: *June 4, 2018 NEW* -Notification of acceptance: July 2, 2018 -Final version of all accepted papers: July 16, 2018 THESES CONTEST: -Theses Contest Deadline: July 2, 2018 -Theses Contest Result Notification: July 16, 2018 AOB -Early registration: July 16, 2018 *KEY-SPEAKERS (CONFIRMED):* -Carlos Coello, Mexico -Carlos Lopez-Franco, Mexico -Esteban A. Hernandez-Vargas, Germany -Hojjat Adeli, USA -Jagannathan Sarangapani, USA -Nancy Arana-Daniel, Mexico -Oscar Castillo, Mexico -Patricia Melin, Mexico -Paul Werbos, USA -Vicenzo Piuri, Italy *WEB-LINKS:* -THE CONFERENCE WEBSITE LINK => http://la-cci.org/ -FOR SUBMITTING YOUR LATEST WORK => https://easychair.org/ conferences/?conf=2018ieeelacci -FINAL-CFP (**FEEL FREE TO DISTRIBUTE**) => http://la-cci.org/la-cci-2018/call-for-papers-2018/ -School on CI & Applications => http://la-cci.org/la-cci-2018/summer-school-on-computational-intelligence-and-applications-ssocia-2018/ -Theses Competition => http://la-cci.org/la-cci-2018/theses-competition-2018/ *CONFERENCE-TRACKS:* I) *Evolutionary & Swarm Computation*: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods. II) *Neural & Learning Systems*: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks. III) *Fuzzy & Stochastic Modeling*: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory. *OTHER ACTIVITIES:* -Summer School, Theses contest, Round-tables, Cultural tours and more. -------------- next part -------------- An HTML attachment was scrubbed... URL: From shelie at purdue.edu Sat May 19 11:46:16 2018 From: shelie at purdue.edu (Helie, Sebastien) Date: Sat, 19 May 2018 15:46:16 +0000 Subject: Connectionists: Call For Papers - CreaCogMod 2018 In-Reply-To: <201805181501.w4IF1VuG002828@easychair.org> References: <201805181501.w4IF1VuG002828@easychair.org> Message-ID: <1526744778362.77396@purdue.edu> CreaCogMod 2018 - Computational Methods and Systems for the Cognitive Modelling and Support of Creativity and Creative Problem Solving - Call For Papers ---------------------------------------------------------------------------------------------- The workshop "Computational Methods and Systems for the Cognitive Modelling and Support of Creativity and Creative Problem Solving" is part of the CogSci 2018 - the 40th Annual Meeting of the Cognitive Science Society, to be held in Madison, WI on Wednesday, July 25th - Saturday, July 28th, 2018 (Wednesday, July 25th is the Tutorials and Workshops day). Link to the CreaCogMod 2018 workshop: http://creacogcomp.com/CreaCogMod2018/creacogmod2018.html ---------------------------------------------------------------------------------------------- Introduction ---------------------------------------------------------------------------------------------- Computational creativity and human creativity are fields modelled with different processes and evaluated with different methods. To bridge this interdisciplinary divide, we need to: disseminate and refine existing computational methods for modelling cognitive processes, aim to implement more cognitive processes in computational creativity systems, and set benchmarks of comparative evaluation between cognitive human and computational systems. Various computational methods might lend themselves better to modelling cognitive processes - for example, semantic networks might help model associativity processes, case base reasoning might help model cognitive structured representations which admit variations, etc. Furthermore, various (a) computational models of a cognitive process or (b) systems aiming at replicating cognitive process results do exist: e.g. for an analogy, metaphor, concept blending and concept invention, insight etc. Also, various systems exist that can perform well in human creativity tests, like the Remote Associates Test and the Alternative Uses Test. Other such computational cognitive systems show new possibilities in the improving control over current experimental design. In this workshop we will discuss existing computational methods, systems and models, focusing on questions like the following: 1. what computational methods are more suitable for implementing computational models of creativity and problem solving, and computational systems supporting creativity and problem solving 2. what types of support can natural cognitive systems benefit from when performing creative problem solving and other creative acts 3. what kind of computational support has been offered so far, what kind of computational support can be offered with the existing techniques and approaches 4. to what extent computational methods must get closer to simulating or modelling cognitive process to make cognitive support possible ---------------------------------------------------------------------------------------------- Topics ---------------------------------------------------------------------------------------------- CreaCogMod welcomes papers on one or more of the general topics of Cognitive and Computational methods, creative problem solving and computational creativity. Both theoretical, computationally applied and empirical papers will be accepted. We especially welcome papers which aim to bring together some of these topics. Topics are centred around but not limited to: Cognitive methods and Computational methods Creative problem solving Computational Creativity Associativity and Conceptual Spaces Semantic networks and semantic graphs Case-based reasoning Ill-structured problem solving Structured representations Knowledge discovery Creative cognition Creativity tests Evaluation of natural and computational cognitive systems Neural networks Evolutionary algorithms Analogy Metaphor Creative assistive systems Modelling of creativity and problem solving ---------------------------------------------------------------------------------------------- Submission ---------------------------------------------------------------------------------------------- Two types of papers are welcome: Full research papers up to 10 pages in LNCS format + references. Poster abstract submissions - up to 5 pages in LNCS format (including references). For formats, please visit our CFP webpage. Submission is open now via EasyChair (https://easychair.org/conferences/?conf=creacogmod2018). For any problems related to submission please contact Ana-Maria Olteteanu (email: ana-maria dot olteteanu at fu-berlin dot de). ---------------------------------------------------------------------------------------------- Publication ---------------------------------------------------------------------------------------------- The papers submitted for this workshop will be published as a CEUR-WS volume. If enough high-quality papers are received, a Special Issue will be proposed by the organizer to the Cognitive Systems Research journal, or a topic proposal will be made to TopiCS in Cognitive Science. ---------------------------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------------------------- Submission of abstracts for full research papers - 1st June, 2018. Submission of full papers and poster abstracts - 15th June, 2018. Notification of acceptance - 25th June, 2018. Camera-ready version - 1st July, 2018 ---------------------------------------------------------------------------------------------- Speakers ---------------------------------------------------------------------------------------------- Dr. Ashok K. Goel - Professor of Computer Science and Cognitive Science in the School of Interactive Computing at Georgia Institute of Technology Dr. Sebastien H?lie - Associate Professor of Mathematical and Computational Cognitive Science, Cognitive Psychology and Neuroscience at the Department of Psychological Sciences, Purdue University Yoed Kenett - Postdoctoral Fellow at the Department of Psychology at the University of Pennsylvania Dr. Kai Wang - Assistant Professor of Management at the Kean University ---------------------------------------------------------------------------------------------- Program Committee (More to be announced) ---------------------------------------------------------------------------------------------- Anna Jordanous - University of Kent Antonio Lieto - University of Turin Ashok Goel - Georgia Institute of Technology Boris Forthmann - Westfalische Wilhelms-Universitat Carlos Leon - Universidad Complutense de Madrid Geraint Wiggins - Queen Mary University of London Liane Gabora - University of British Columbia Richard Hass - Philadelphia University Sebastien H?lie - Purdue University Yoed Kenett - Bar-Ilan University ---------------------------------------------------------------------------------------------- Regards, Faheem CreaCogMod 2018 Organizers, Ana-Maria Olteteanu and Faheem Zunjani Cognitive Systems Group Human-Centered Computing Freie Universit?t, Berlin, Germany ----------------------------------------------------------------- Sebastien Helie, Ph.D. Associate Professor of Psychological Sciences Associate Director of the Purdue Life Sciences Imaging Facility Co-Director of CEREBBRAL ---------------------------------------------------------------- From nian.zhang6 at gmail.com Sun May 20 00:36:12 2018 From: nian.zhang6 at gmail.com (Nian Ashlee Zhang) Date: Sun, 20 May 2018 00:36:12 -0400 Subject: Connectionists: =?utf-8?q?CFP_-_ICONIP_2018=2C_Siem_Reap=2C_Cambo?= =?utf-8?q?dia=EF=BC=8CDecember_14_-_16=2C_2018?= In-Reply-To: References: Message-ID: 25th International Conference on Neural Information Processing (ICONIP 2018) ?Siem Reap, Cambodia?December 14 - 16, 2018 https://conference.cs.cityu.edu.hk/iconip/ The 25th International Conference on Neural Information Processing (ICONIP 2018) will be held in Siem Reap, Cambodia during December 14 - 16, 2018, following the successes of previous events. Located near Siem Reap in northern Cambodia, Angkor Wat is one of the most important archaeological sites in South-East Asia, the largest religious monument in the world, and listed by UNESCO as a cultural heritage. ICONIP 2018 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Timeline Special session proposals deadline May 1, 2018 Paper submission deadline June 1, 2018 Notification of acceptance August 1, 2018 Camera-ready copy and author registration September 1, 2018 Conference December 14-16, 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From salah at boun.edu.tr Sun May 20 23:49:03 2018 From: salah at boun.edu.tr (salah) Date: Mon, 21 May 2018 11:49:03 +0800 Subject: Connectionists: FG 2019 Call for Special Sessions, Workshops, and Tutorials Message-ID: <2d2afccc214ce21506cd47db853a80b1@boun.edu.tr> Call for Special Sessions, Workshops, and Tutorials - IEEE FG 2019, Lille, 14-18 May 2019. ------------------------ We invite special sessions, workshop, and tutorial proposals for the 2019 IEEE Conference on Automatic Face and Gesture Recognition in Lille, France. Accepted workshops and tutorials will be held on either May 14 or May 18, 2019, in the same venue as the FG 2019 main conference, namely, Lille Grand Palais. Special sessions will be held with the main conference, 15-17 May. We solicit workshop and tutorial proposals on any topic of interests to the FG community. We especially encourage workshops relating to emerging new fields or new application domains of face and gesture analysis and synthesis. The tutorials should complement and enhance the scientific program of FG 2019 by providing authoritative and comprehensive overviews of growing themes that are of sufficient relevance with respect to the state-of-the-art and the conference topics. Workshop and tutorial organizers who have a strong track record in the field are strongly encouraged to submit a proposal. The tutorials are half-day events (3 to 4 hours including breaks). For Special Sessions, we particularly encourage proposals that highlight emerging new fields, application domains and challenges related to face and gesture as well as interdisciplinary topics that bring new perspectives to the FG community. These Special Sessions will emphasize ?Frontiers in FG? in the face and gesture recognition research field. It is possible to propose panels in this category. Proposers should have a strong record in the proposed field. If the Special Session is accepted, proposers will act as area chairs and supervise the reviewing process of the papers marked for the Special Session. The workshop paper submission, review, acceptance notification, and final manuscript due must all be handled until February 15, 2019 (camera-ready workshop paper due date). Financial support from the main conference is not guaranteed and depends on budget. IMPORTANT DATES Special Session proposals due: September 21, 2018 Special Session proposal notification: October 10, 2018 Special Session papers due: 9 December, 2018 Workshop proposals due: September 21, 2018 Workshop acceptance decisions: October 10, 2018 Workshop camera ready papers due: February 15, 2019 Tutorial proposals due: January 14, 2019 Tutorial decisions: February 4, 2019 The main conference will provide rooms, equipment, and coffee breaks for the workshops and tutorials. If necessary, poster facilities will be offered. For each workshop one complimentary registration for a keynote speaker is available. For any additional questions please contact the workshop, tutorial, and special session chairs. All workshop, tutorial, and special session proposals should be sent via email to FG 2019 Workshop, Tutorial, and Special Session Co-chairs, Stefano Berretti (stefano.berretti at unifi.it) and Albert Ali Salah (salah at boun.edu.tr), with the subject field ?FG 2019 [type] Proposal: [title of session]? where [type] should be replaced with one of the following: "Workshop", "Tutorial", "Special Session", or "Panel". WORKSHOP PROPOSAL SUBMISSION A proposal should include the following information to facilitate the decision process: Workshop title -Workshop motivation, expected outcomes and impact -List of organizers including affiliation, email address, and short bio -Tentative length of the workshop (half day or full day) -Tentative paper submission and review schedule -Planned advertisement means, website hosting -Paper submission procedure (submission via web site, via email, etc.) if applicable -Paper review procedure (single/double-blind, internal/external, solicited/invited-only, pool of reviewers, etc.) -Specify the relationship, if any, to previous workshops -Describe difference with most relevant previous workshops -Tentative program committee, and invited speakers, if any -Estimated number of submissions and acceptance rate -Special space or equipment requests, if any -Specify if there will be non-peer reviewed invited paper, if so, how many? TUTORIAL PROPOSAL SUBMISSION A proposal should include the following information to facilitate the decision process: -Tutorial title -Proposer?s contact information and short CV -Names of any additional lecturers and short CV -Tutorial description and description of relevance to the FG community and an evaluation plan -References and experience of the instructors with respect to the proposed tutorial topic -Planned length of the tutorial -List of relevant tutorials recently presented in other conferences -Requirements (e.g., facilities, Internet access, etc.) -Other useful information (e.g., estimated attendance, slides/notes available, etc.). Tutorial proposals will be evaluated on the basis of their estimated benefit for the community and their fit within the tutorials program as a whole. Factors to be considered include: relevance, timeliness, importance, and audience appeal; suitability for presentation in a half or full day format; past experience and qualifications of the instructors. Selection will also be based on the overall distribution of topics, expected attendance, and specialties of the intended audiences. SPECIAL SESSION PROPOSAL SUBMISSION A proposal must include the following information: -The title of the proposed Special Session or Panel. -A brief description of the topic, including how it stands apart from the regular FG topics/sessions. -Contact information and short bio of the organizers. -For a Special Session: a list of proposed contributions to the special session (including authors, title, and short abstract). -For a Panel: a list of proposed panelists and their expected perspectives/contributions. Paper preparation and review details. Special Session papers will be part of the conference proceedings and will be reviewed along with the regular conference submissions. Papers submitted to a Special Session should describe original work and should follow the general FG submission guidelines. For your reference, below is a list of workshops, tutorials, and special sessions held in conjunction with FG 2018: Workshops: -8th Int. Workshop on Human Behavior Understanding in conjunction with 2nd Int. Workshop on Automatic Face Analytics for Human Behavior Understanding (HBU 2018) -Latest developments of FG technologies in China -First Workshop on Large-scale Emotion Recognition and Analysis (LERA 2018) -IEEE FG 2018 Workshop on Dense 3D Reconstruction of 2D Face Images in the Wild -Face and Gesture Analysis for Health Informatics (FGAHI 2018) -Facial Micro-Expression Grand Challenge (MEGC): Methods and Datasets -The 1st International Workshop on Real-World Face and Object Recognition from Low-Quality Images (FOR-LQ) Tutorials: -Person Re-Identification: Recent Advances and Challenges -Representation Learning for Face Alignment and Recognition -Reading Hidden Emotions from Micro-Expression Analysis -Active Authentication in Mobile Devices: Role of Face and Gesture -Introduction to Deep Learning for Facial Understanding -Sign Language Recognition and Gesture Analysis -Physiological Measurement from Images And Videos -Statistical Methods for Affective Computing -Ms-Celeb-1M: Large Scale Face Recognition Challenge Tutorial Special Sessions: -Perception, Cognition and Psychophysiology of Gesture Interaction -Is Deep Learning Always the Best Solution for Face Recognition? -Face and Gesture Recognition on Mobile Devices -Kinect-based Kinematic Data Analysis and Evaluation for Clinical Applications -Measurable Social Impact Systems and Applications -Generalized Face Spoofing Detection in Real-World Applications -Automatic Kinship Verification from Face From smart at neuralcorrelate.com Mon May 21 09:32:02 2018 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Mon, 21 May 2018 09:32:02 -0400 Subject: Connectionists: =?utf-8?q?Call_for_Papers_JEMR_Special_Thematic_I?= =?utf-8?q?ssue=3A_=22Microsaccades_-_Empirical_Research_and_Method?= =?utf-8?q?ological_Advances=E2=80=9C?= In-Reply-To: <0f4301d3f107$d7fd1970$87f74c50$@neuralcorrelate.com> References: <0f4101d3f107$a0a8d2c0$e1fa7840$@neuralcorrelate.com> <0f4301d3f107$d7fd1970$87f74c50$@neuralcorrelate.com> Message-ID: <0f5201d3f108$1d729fc0$5857df40$@neuralcorrelate.com> Call for Papers: Journal of Eye Movement Research Special Thematic Issue: "Microsaccades: Empirical Research and Methodological Advances" With the availability of affordable high speed eye tracking devices, microsaccades have come into the focus of interest in many areas of sensory, perceptual and cognitive processes. We invite authors to submit contributions to a thematic issue on microsaccades, to be published in the Journal of Eye Movement Research. Both reviews and original research, including measurement and data analyses in fundamental, translational, and applied research, are welcome. Please see the submission instructions at https://bop.unibe.ch/index.php/JEMR/about/submissions#authorGuidelines Abstract submission deadline: June 30, 2018, Manuscript submission deadline: November 15, 2018. The Journal of Eye Movement Research will publish each individual article in Issue 6 of Volume 11 (2018) on a rolling basis. The content alert will be distributed after completion of the full issue. Guest editors: Susana Martinez-Conde Ralf Engbert Editor in Chief, Journal of Eye Movement Research: Rudolf Groner ------------------- On behalf of: Susana Martinez-Conde, PhD Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York, Downstate Medical Center Email: smart at neuralcorrelate.com Ralf Engbert, Prof. Dr. rer. nat., Professor of Experimental and Biological Psychology University of Potsdam Email: Ralf.Engbert at uni-potsdam.de Rudolf Groner, PhD Professor emeritus University of Bern, Switzerland Email: Rudolf Groner ________________________________________________________________________ Journal of Eye Movement Research https://jemr.org From christian.machens at neuro.fchampalimaud.org Mon May 21 12:10:50 2018 From: christian.machens at neuro.fchampalimaud.org (Christian Machens) Date: Mon, 21 May 2018 17:10:50 +0100 Subject: Connectionists: Two postdoc positions at Champalimaud Centre for the Unknown, Lisbon Message-ID: <3FD364DE-AFFC-4C7A-9A7B-1CEFFAC4E126@neuro.fchampalimaud.org> POSTDOC POSITIONS IN COMPUTATIONAL / SYSTEMS NEUROSCIENCE Two postdoctoral positions - one in theory and one in experiment - are available in a joint project between the labs of Alfonso Renart and Christian Machens at the Champalimaud Centre for the Unknown in Lisbon, Portugal. Location: The Champalimaud Centre for the Unknown is situated on the waterfront in central Lisbon. English is the official language of the Centre. The center is composed of about 20 main research groups who study diverse topics in neuroscience using advanced, cutting edge techniques. Project: The proposed project will investigate to what extent neural circuits actively compensate random perturbations. The project involves the recordings and partial silencing of neural populations, population-level analysis using dimensionality reduction and other techniques, and the modeling of the results with spiking networks. Relevant background literature: Renart, de la Rocha, et al (2010), Science 327:587-90; Barrett et al (2016), eLife 5:12454; Deneve and Machens (2016), Nat Neurosci 19:375-82. Profile (theory): The ideal candidate should have a PhD with a strong, quantitative background (ideally in fields such as machine learning and/or computational neuroscience). The position is funded for two years with possibility of extension. Profile (experiment): The ideal candidate should have experience in electrophysiology (e.g. recordings from behaving head-fixed mice) and data analysis (e.g. dimensionality reduction methods etc). Applications should include a CV, a statement of research interests (max 1 page), and two letters of recommendation. Feel free to ask any informal questions about the positions if you are interested. Electronic submissions in pdf-format are preferred and should be send to both of the following email addresses: christian.machens at neuro.fchampalimaud.org alfonso.renart at neuro.fchampalimaud.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From lciti at essex.ac.uk Mon May 21 17:42:42 2018 From: lciti at essex.ac.uk (Luca Citi) Date: Mon, 21 May 2018 22:42:42 +0100 Subject: Connectionists: Deadline extended: Special session on "Bayesian models for motor rehabilitation and control" @ICNR2018 Message-ID: INTRODUCTION ----------------------------------------------- We invite contributions to a special session on "Bayesian models for motor rehabilitation and control" at the International Conference on NeuroRehabilitation (ICNR2018) that will take place in Pisa (Italy) from October 16th to 20th, 2018. This session's aim is to bring together scientists working on theoretical models and engineers working on rehabilitation and restoration devices. More information about the special session at: http://www.icnr2018.org/special-sessions-2/ ABSTRACT ----------------------------------------------- Bayesian statistics is a branch of statistics that provides a principled way of calculating how prior knowledge can be combined with observations in a statistically optimal way. Numerous studies have shown that many aspects of human behaviour (e.g. sensorimotor control) are close to ?Bayes? optimal?. Learning (or re-learning in the case of rehabilitation) can also be seen as the process of updating our priors based on new observations. It seems therefore natural to employ such models not only to describe neural processes but also to decode them for the purpose of improving the effectiveness of rehabilitation or for the control of a prosthetic device. From an implementation point of view, Bayesian models are also appealing because they may be better suited than other techniques for dealing with the smaller data sets that are typically available in biomedical engineering applications. This session?s goal is to promote and showcase cutting edge research in modeling human neuromotor control for the purpose of improving rehabilitation techniques or designing better control strategies for actuated prostheses. In particular, this special session is dedicated to understanding the potential benefits and limitations of applying Bayesian techniques to such problems. We envision the session will provide an interdisciplinary platform bringing together scientists working on theoretical models and engineers working on rehabilitation and restoration devices. Example topics may include but are not limited to: Bayesian model averaging, Markov-Chain Monte Carlo, sequential Monte Carlo, dynamic causal modeling, state-space modeling, hierarchical Bayesian modeling, non-parametric Bayesian inference, and their application to the aforementioned biomedical engineering problems. SUBMISSION INSTRUCTIONS ----------------------------------------------- Please submit your 2-page extended abstract through the Easy Chair platform (https://easychair.org/conferences/?conf=icnr2018) before *1st of June 2018*. During the submission process, please select the special session code "SS1". Abstracts have to be formatted according to the ICNR2018 template, which can be downloaded at: http://www.icnr2018.org/call-for-papers A selection of the contributions will be published on a special issue on "IEEE Transactions on Neural Systems and Rehabilitation Engineering". CONTACTS ----------------------------------------------- For information on the special session, please contact Luca Citi (lciti at essex.ac.uk) For more general information about ICNR2018, please contact the conference organisers at http://www.icnr2018.org/contact/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From zhaoping at gatsby.ucl.ac.uk Tue May 22 02:27:26 2018 From: zhaoping at gatsby.ucl.ac.uk (Dr Zhaoping Li) Date: Tue, 22 May 2018 07:27:26 +0100 (BST) Subject: Connectionists: Video lectures available on visual decoding/inference (and other vision topics) Message-ID: There are two parts on this "visual decoding" topic, one is 25 minutes long video lecture, one is 51 minutes long video lecture, see http://www0.cs.ucl.ac.uk/staff/Zhaoping.Li/VisualDecodingIntroSeminar.html They are made using mainly materials from the text book "Understanding vision: theory, models, and data" by Li Zhaoping, published by Oxford University Press. For video lectures on other topics in that textbook see http://www0.cs.ucl.ac.uk/staff/Zhaoping.Li/VideoLectures_ForBook.html comments and feedback welcome! Zhaoping -- Li Zhaoping Professor of Computational Neuroscience, University College London Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.cs.ucl.ac.uk/staff/Zhaoping.Li/ From asdm at fi.upm.es Tue May 22 04:26:57 2018 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Tue, 22 May 2018 10:26:57 +0200 (CEST) Subject: Connectionists: Thirteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 25th - July 6th, 2018) - Early registration deadline Message-ID: <1342443276.0.1526977617118.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school finishes on June 1st. The summer school will be held in Boadilla del Monte, near Madrid, from June 25th to July 6th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2018. See the last year's ranking at http://bit.ly/2oR00GI Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 25th - June 29th, 2018) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks. Course 6: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. * Week 2 (July 2nd - July 6th, 2018) * 1st session: 9:45-12:45 Course 7: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. Course 8: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From luca.oneto at unige.it Tue May 22 04:57:11 2018 From: luca.oneto at unige.it (Luca Oneto) Date: Tue, 22 May 2018 10:57:11 +0200 Subject: Connectionists: INNSBDDL2019 - Call For Paper / Workshop / Tutorials Message-ID: Apologies for cross-posting. Kindly help to distribute this call to your mailing list. INNS BIG DATA AND DEEP LEARNING 2019 SESTRI LEVANTE, GENOA, ITALY, 16-18 APRIL 2019 HTTPS://INNSBDDL2019.ORG/ WEBSITE https://innsbddl2019.org/ VENUE & ORGANIZATION The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference will be held in Sestri Levante, Italy, April 16?18, 2019. The conference is organized by the International Neural Network Society, with the aim of representing an international meeting for researchers and other professionals in Big Data, Deep Learning and related areas. It will feature invited plenary talks by world-renowned speakers in the area, in addition to regular and special technical sessions with oral and poster presentations. Moreover, workshops and tutorials will also be featured. IMPORTANT DATES Deadline for submission of tutorial and workshop proposals: August 31, 2018 Notification of tutorial and workshop proposals: September 30, 2018 Deadline of full paper submission: October 31, 2018 Notification of paper acceptance: December 31, 2018 Camera-ready submission: January 31, 2019 Early registration deadline: December 31, 2018 Registration deadline: January 31, 2019 Conference date: April 16-18, 2019 SCOPE We solicit both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations in any aspect of Big Data and Deep Learning. Both theoretical and practical results are welcome. Example topics of interest includes but is not limited to the following: Big Data Science and Foundations - Novel Theoretical Models for Big Data - New Computational Models for Big Data - Data and Information Quality for Big Data Big Data Mining - Social Web Mining - Data Acquisition, Integration, Cleaning, and Best Practices - Visualization Analytics for Big Data - Computational Modeling and Data Integration - Large-scale Recommendation Systems and Social Media Systems - Cloud/Grid/StreamData Mining - Big Velocity Data - Link and Graph Mining - Semantic-based Data Mining and Data Pre-processing - Mobility and Big Data - Multimedia and Multi-structured Data-Big Variety Data Modern Practical Deep Networks - Deep Feedforward Networks - Regularization for Deep Learning - Optimization for Training Deep Models - Convolutional Networks - Sequence Modeling: Recurrent and Recursive Nets - Practical Methodology Deep Learning Research - Linear Factor Models - Autoencoders - Representation Learning - Structured Probabilistic Models for Deep Learning - Monte Carlo Methods - Confronting the Partition Function - Approximate Inference - Deep Generative Models PROCEEDINGS & SPECIAL ISSUE Works submitted as a regular paper will be published in a serie indexed by Scopus. Submitted papers will be reviewed by some PC members based on technical quality, relevance, originality, significance and clarity. At least one author of an accepted submission should register to present their work at the conference. Selected papers presented at INNS BDDL 2019 will be included in special issues of top journals in the field (prospected journals: Big Data Research, Transaction on Neural Networks and Learning System, Neurocomputing, etc). -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Tue May 22 05:59:16 2018 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Tue, 22 May 2018 10:59:16 +0100 Subject: Connectionists: 2nd Call for Papers: NeSy'18, the 13th Intl. Workshop on Neural-Symbolic Learning and Reasoning (Prague, CZ, August 23/24, 2018) Message-ID: == Neural-Symbolic Learning and Reasoning (NeSy) 2018 @ HLAI 2018 == Executive Summary: - What: 13th Intl. Workshop on Neural-Symbolic Learning and Reasoning - When: August 23/24, 2018 - Where: Prague, CZ - Website: http://www.neural-symbolic.org/NeSy18/ - Collocated with: Human-Level AI 2018 (https://www.hlai-conf.org/) == Keynote Speakers == - Hava Siegelmann, DARPA & University of Massachusetts Amherst. - Paul Smolensky, Johns Hopkins University & Microsoft Research - Luciano Serafini, Fondazione Bruno Kessler. - Thomas Lukasiewicz, University of Oxford - Simo Dragicevic, CEO, BetBuddy Ltd. == The Workshop == Artificial Intelligence researchers continue to face huge challenges in their quest to develop truly intelligent systems. The recent developments in the field of neural-symbolic integration bring an opportunity to integrate well-founded symbolic artificial intelligence with robust neural computing machinery to help tackle some of these challenges. The Workshop on Neural-Symbolic Learning and Reasoning is intended to create an atmosphere of exchange of ideas, providing a forum for the presentation and discussion of the key topics related to neural-symbolic integration. Topics of interest include but are not limited to: - The representation of symbolic knowledge by connectionist systems; - Neural Learning theory; - Integration of logic and probabilities, e.g., in neural networks, but also more generally; - Structured learning and relational learning in neural networks; - Logical reasoning carried out by neural networks; - Integrated neural-symbolic approaches; - Extraction of symbolic knowledge from trained neural networks; - Integrated neural-symbolic reasoning; - Neural-symbolic cognitive models; - Biologically-inspired neural-symbolic integration; - Applications in robotics, simulation, fraud prevention, natural language processing, semantic web, software engineering, fault diagnosis, bioinformatics, visual intelligence, etc. == Presentation == Accepted full and late breaking papers will be presented during the workshop. The workshop will include extra time for discussion of the presentations allowing the group to have a better understanding of the issues, challenges, and ideas being presented. == Publication == Accepted full papers will be published in a post-workshop volume of the IfCoLog Journal of Applied Logic (JAL). For the inclusion of accepted late breaking papers, a second in-depth review will be required following the workshop. == Submission Format == Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere: Authors of contributed papers are encouraged to use the LaTex article style, a 12pt font, and to submit a paper with no more than 12 pages plus references. Papers should be submitted as electronic attachments in pdf format by email to the College Publications managing director, Ms Jane Spurr (jal at kcl.ac.uk). The email message should include the author(s) names and affiliations, the title of the paper and the name of the NeSy'18 co-chair best suited to handle the submission. Please use the phrase "NeSy18 JAL submission" in the subject line. == Important Dates == Deadline for full paper submission: June 11, 2018 Notification of acceptance/rejection (full papers): July 5, 2018 Deadline for late breaking paper submission: August 1, 2018 Notification of acceptance/rejection (late breaking papers): on continuous basis, latest by August 8, 2018 Workshop dates: August 23-24, 2018 == Additional Information == General questions concerning the workshop should be addressed to Tarek R. Besold at Tarek-R.Besold at city.ac.uk. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.busemann at dfki.de Tue May 22 06:33:24 2018 From: stephan.busemann at dfki.de (Stephan Busemann) Date: Tue, 22 May 2018 12:33:24 +0200 Subject: Connectionists: AIMSA 2018, submission deadline extension to 31 May 2018 Message-ID: <3d7ee491-e402-25bd-e3ab-2e11959f515d@dfki.de> Due to many requests, the deadline for submission is extended to 31 May 2018. CALL FOR PAPERS AIMSA 2018 The 18th International Conference on Artificial Intelligence: Methodology, Systems, Applications - AI and Deep Learning - Golden Sands resort, Varna, Bulgaria, 12-14th September, 2018 www.aimsaconference.org Initiated in 1984, the biennial Artificial Intelligence: Methodology, Systems, Applications (AIMSA) conference is a premier forum for exchanging information and research results on AI theory and principles along with applications of intelligent system technology. The conference traditionally brings together academic and industrial researchers from all areas of AI to share their ideas and experiences and learn about the research in contemporary AI. As its name indicates, the conference is dedicated to Artificial Intelligence in its entirety. However, for AIMSA 2018, we would like to put an emphasis on Deep Learning (DL) as it has been used successfully in many applications, and is considered one of the most cutting-edge machine learning and AI techniques at the moment. Of course, the focus on DL does not preclude submission of papers on other interesting topics and approaches in AI. The 18th edition of AIMSA will be held in the beautiful Varna area, Bulgaria. With excellent opportunities for outdoor activities, water sports and gastronomy, Varna promises to be a wonderful venue for a memorable conference. TOPICS The conference welcomes submissions of original, high quality papers in all areas of Artificial Intelligence, including (but not limited to) traditional topics such as search, machine learning, planning, knowledge representation, reasoning, natural language processing, robotics and perception, multiagent systems, etc. We especially welcome papers on end-to-end learning; multi-task learning; cross- and multi-modal learning; combinations of DL and knowledge-based approaches; transparency, explainability, stability and provability of DL; DL meta-learning in AI etc., as well as papers that bring useful computational technologies from other areas of computer science into AI. All submissions will be subject to academic peer review by at least two members of the program committee. Selection criteria include accuracy and originality of ideas, clarity and significance of results, and quality of presentation. For each accepted paper, at least one author is required to attend the conference to present the paper. The best paper of the conference will receive the Best Paper Award during the conference. IMPORTANT DATES Submission deadline: 31 May 2018 Notification of acceptance: June 17, 2018 Deadline for camera-ready: July 1, 2018 Conference: September 12-14, 2018 PROCEEDINGS AIMSA 2018 Proceedings will be by Springer in their Lecture Notes in Artificial Intelligence subline of the Lecture Notes in Computer Science series. Extended versions of AIMSA 2018 selected papers will be published by MDPI, Switzerland, in a special issue of ?Information? (ISSN 2078-2489) ? an Open Access Journal of Information Science (http://www.mdpi.com/journal/information/special_issues/AIMSA_2018.). PROGRAMME COMMITTEE CHAIR Josef van Genabith The German Research Center for Artificial Intelligence DFKI KEYNOTE SPEAKERS Feiyu Xu AI Lab, Lenovo Research, Lenovo Group, China John D. Kelleher Dublin Institute of Technology, Ireland Milica Gasic University of Cambridge, UK ASSOCIATED EVENTS Workshop on Artificial Intelligence in Bioinformatics ? 11th of September, 2018 http://www.aimsaconference.org/workshop.php LANGUAGE The official language of the conference is English. LOCATION Golden Sands is a modern resort with traditions, and history going back 50 years. A unique blend of lovely nature park, warm sea, and fine golden sand! Golden Sands is the winner of a "Blue Flag" - a prestigious international award for environmentally clean resorts REGISTRATION The AIMSA'2018 Registration fees includes attendance to AIMSA'2018 technical sessions, a copy of the AIMSA'2018 proceedings, Welcome reception, working lunches, coffee-breaks and the Conference dinner. Registration fees Before August 1st Regular fee AIMSA 400? Student/PhD Student AIMSA 300? Regular fee WORKSHOP 150? Regular fee AIMSA & WORKSHOP 500? Student/PhD Student* AIMSA & WORKSHOP 400? GRANTS Bulgarian Artificial Intelligence Association will provide several grants for PhD students and young researchers. The grant covers the conference fee. LOCAL ORGANIZING COMMITTEE CHAIR Gennady Agre Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev 2, 1113 Sofia, Bulgaria E-mail: agre at iinf.bas.bg Phone: +359 28700118 Fax: +359 28707273 ORGANIZERS Bulgarian Artificial Intelligence Association Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences (IICT ? BAS) From george at cs.ucy.ac.cy Tue May 22 08:56:28 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 22 May 2018 15:56:28 +0300 Subject: Connectionists: 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018): Last Mile In-Reply-To: <59BB872C-4A03-48BC-B09B-5907A0076A7A@cs.ucy.ac.cy> References: <59BB872C-4A03-48BC-B09B-5907A0076A7A@cs.ucy.ac.cy> Message-ID: *** LAST MILE *** 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018) St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018 http://www.cyprusconferences.org/ismis2018 *** Deadline: 28 May, 2018 (final) *** WELCOME ISMIS is an established and prestigious conference for exchanging the latest research results in building intelligent systems. Held twice every three years, the conference provides a medium for exchanging scientific research and technological achievements accomplished by the international community. SCOPE The scope of ISMIS is intended to represent a wide range of topics on applying Artificial Intelligence techniques to areas as diverse as decision support, automated deduction, reasoning, knowledge based systems, machine learning, computer vision, robotics, planning, databases, information retrieval, etc. The focus is on research in intelligent systems. The conference addresses issues involving solutions to problems that are complex to be solved through conventional approaches and that require the simulation of intelligent thought processes, heuristics and applications of knowledge. The integration of these multiple approaches in solving complex problems is of particular importance. ISMIS provides a forum and a means for exchanging information for those interested purely in theory, those interested primarily in implementation, and those interested in specific research and industrial applications. INVITED SPEAKERS ? Michael May - Siemens, Munich, Germany ? Jean-Marc Petit - INSA Lyon and Universit? de Lyon, France TOPICS ISMIS 2018 is intended to attract individuals who are actively engaged both in theoretical and practical aspects of intelligent systems. The goal is to provide a platform for a useful exchange between theoreticians and practitioners, and to foster the cross-fertilization of ideas in the following areas: ? Active Media Human-Computer Interaction ? Autonomic and Evolutionary Computation ? Digital Libraries ? Health Informatics ? Intelligent Agent Technology ? Intelligent Data Processing and Analytics ? Intelligent Information Retrieval ? Intelligent Information Systems ? Intelligent Language Processing ? Knowledge Integration and Aggregation ? Knowledge Discovery and Data Mining ? Knowledge Visualization ? Logic for Artificial Intelligence ? Multimedia Information Retrieval ? Soft Computing ? Text Mining ? Web Intelligence ? Web Mining In addition, we solicit papers dealing with Applications of Intelligent Systems in complex/novel domains, e.g. art, human genome, global change, manufacturing, social good, etc. PAPER SUBMISSION Authors are invited to submit their manuscripts in LNCS/LNAI style (maximum 10 pages). All paper submissions will be handled electronically. All submissions will be subject to review by the ISMIS 2018 Program Committee. Papers should be prepared using the Springer LNCS/LNAI style (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines), maximum 10 pages. Papers should be submitted in PDF form via ISMIS 2018 Online Submission System: https://easychair.org/conferences/?conf=ismis2018 . PUBLICATION AND JOURNAL SPECIAL ISSUES The ISMIS 2018 proceedings will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and will be available at the conference. Authors of best papers will be invited to submit their extended versions to the Journal of Intelligent Information Systems (JIIS) (http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10844) published by Springer. Fast Track Processing will be used to have them reviewed and published. IMPORTANT DATES ? Paper Submissions due: 28th May 2018 (final) ? Notification of Acceptance/Rejection: 10th July 2018 ? Camera-Ready Versions of Accepted Papers: 31st July 2018 ? Author Registration: 31st Juy 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE Steering Committee Chair ? Zbigniew Ras (UNC-Charlotte, USA & Polish-Japanese Academy of IT, Poland) Symposium Chair ? George Angelos Papadopoulos (University of Cyprus, Cyprus) Program Committee Co-Chairs ? Michelangelo Ceci (Universita degli Studi di Bari, Italy) ? Nathalie Japkowicz (American University, USA) ? Jiming Liu (Hong Kong Baptist University, Hong Kong) Special Sessions Chair ? Stefano Ferilli (University of Bari, Italy) Program Committee http://cyprusconferences.org/ismis2018/committees/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Sonja.Zhang at de.bosch.com Tue May 22 10:17:57 2018 From: Sonja.Zhang at de.bosch.com (Zhang Sonja (CR/PJ-AI)) Date: Tue, 22 May 2018 14:17:57 +0000 Subject: Connectionists: Jobs at Bosch Center for AI - Research Message-ID: Dear all, I am hiring assistant of Bosch Center of Artificial Intelligence. We are now hiring research scientist and research engineer. I have registered the robotics worldwide mailing list but I see from the website that in order to send messages to all mailing list memebers, I should write email to you, right? Below is the information that we would like to share, could you please help us to send this email in the mailing list? Email Title: WELCOME TO BOSCH! We are looking for DL/ML/RL Research Scientists for diverse functions Welcome! Join us to start shaping the future of real-world Artificial Intelligence! The Bosch Center for Artificial Intelligence was founded in early 2017 to deploy cutting-edge AI technologies across Bosch products and services creating solutions that are "Invented for life." Currently over 100 employees are working for the Bosch Center for Artificial Intelligence (BCAI) in Renningen, Sunny Vale and Bangalore. The aim is strengthen Boschs position in the field of artificial intelligence. Bosch will invest around 300 million euros in the BCAI by 2021. At the Bosch Center for Artificial Intelligence, you will have the opportunity to work with large-scale data sets across domains, AI along maturity scales, multi-disciplinary and dynamic teams international teams. We are looking for: Deep Learning Researcher Generative Models https://jobs.smartrecruiters.com/BoschGroup/743999670328561-deep-learning-researcher-generative-models?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Researcher for Uncertainties in Behavior Models https://jobs.smartrecruiters.com/BoschGroup/743999670324917-deep-learning-researcher-for-uncertainties-in-behavior-models?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Researcher Uncertainty https://jobs.smartrecruiters.com/BoschGroup/743999670315739-deep-learning-researcher-uncertainty?trid=f153cd89-5005-402f-8c01-8e56b15015ea Reinforcement learning researcher for autonomous driving https://jobs.smartrecruiters.com/BoschGroup/743999670312382-copy-of-reinforcement-learning-researcher-for-autonomous-driving-eg16-?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist in Probabilistic Modeling https://jobs.smartrecruiters.com/BoschGroup/743999670310841-research-scientist-in-probabilistic-modeling?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist for Reinforcement Learning https://jobs.smartrecruiters.com/BoschGroup/743999670308942-research-scientist-for-reinforcement-learning?trid=f153cd89-5005-402f-8c01-8e56b15015ea Reinforcement Learning under Constraints Researcher https://jobs.smartrecruiters.com/BoschGroup/743999670306517-reinforcement-learning-under-constraints-researcher?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Researcher Explainable AI https://jobs.smartrecruiters.com/BoschGroup/743999670245878-deep-learning-researcher-explainable-ai?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Engineer for Reinforcement Learning https://jobs.smartrecruiters.com/BoschGroup/743999670228534-research-engineer-for-reinforcement-learning?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Research Engineer https://jobs.smartrecruiters.com/BoschGroup/743999670222612-deep-learning-research-engineer?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist Knowledge Representation/Logic Reasoning https://jobs.smartrecruiters.com/BoschGroup/743999670213416-research-scientist-knowledge-representation-logic-reasoning?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist Mathematical Optimization https://jobs.smartrecruiters.com/BoschGroup/743999670328410-research-scientist-mathematical-optimization?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Researcher for Autonomous Driving https://jobs.smartrecruiters.com/BoschGroup/743999670317216-deep-learning-researcher-for-autonomous-driving?trid=f153cd89-5005-402f-8c01-8e56b15015ea Reinforcement Learning Research Engineer https://jobs.smartrecruiters.com/BoschGroup/743999670311722-reinforcement-learning-research-engineer?trid=f153cd89-5005-402f-8c01-8e56b15015ea Hierarchical Reinforcement Learning Researcher https://jobs.smartrecruiters.com/BoschGroup/743999670309252-hierarchical-reinforcement-learning-researcher?trid=f153cd89-5005-402f-8c01-8e56b15015ea Imitation Learning Researcher for Autonomous Driving https://jobs.smartrecruiters.com/BoschGroup/743999670307598-imitation-learning-researcher-for-autonomous-driving?trid=f153cd89-5005-402f-8c01-8e56b15015ea Machine Learning Research Engineer https://jobs.smartrecruiters.com/BoschGroup/743999670305531-machine-learning-research-engineer?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist Reinforcement Learning for Autonomous Systems & Robotics https://jobs.smartrecruiters.com/BoschGroup/743999670247269-research-scientist-reinforcement-learning-for-autonomous-systems-robotics?trid=f153cd89-5005-402f-8c01-8e56b15015ea Probabilistic graphical modeling researcher for autonomous driving https://jobs.smartrecruiters.com/BoschGroup/743999670237406-probabilistic-graphical-modeling-researcher-for-autonomous-driving?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist for Decision Making, Learning and Control for Robotic Sensor Networks https://jobs.smartrecruiters.com/BoschGroup/743999670226496-research-scientist-for-decision-making-learning-and-control-for-robotic-sensor-networks?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist Deep Learning https://jobs.smartrecruiters.com/BoschGroup/743999670214766-research-scientist-deep-learning?trid=f153cd89-5005-402f-8c01-8e56b15015ea Learn more about BCAI: https://www.bosch-ai.com/en/home/home.html Check out our worldwide job vacancies https://www.bosch-ai.com/en/we_are_hiring/we_are_hiring.html Mit freundlichen Gr??en / Best regards Sonja Zhang Please feel free to contact me if you have any further questions. Thank you in advance. Mit freundlichen Gr??en / Best regards Bosch Center for AI - Research (CR/PJ-AI-R) Robert Bosch GmbH | Renningen | 70465 Stuttgart | GERMANY | www.bosch.com (CR/PJ-AI) Tel. +49 711 811-42553 | Sonja.Zhang at de.bosch.com Mit freundlichen Gr??en / Best regards Sonja Zhang Please feel free to contact me if you have any further questions. Thank you in advance. Mit freundlichen Gr??en / Best regards Bosch Center for AI - Research (CR/PJ-AI-R) Robert Bosch GmbH | Renningen | 70465 Stuttgart | GERMANY | www.bosch.com (CR/PJ-AI) Tel. +49 711 811-42553 | Sonja.Zhang at de.bosch.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From odette.scharenborg at gmail.com Wed May 23 02:22:18 2018 From: odette.scharenborg at gmail.com (Odette Scharenborg) Date: Wed, 23 May 2018 08:22:18 +0200 Subject: Connectionists: Extended Deadline and Final Call for abstracts: 3rd International Workshop for Young Female Researchers in Speech Science & Technology (YFRSW-2018) Message-ID: Dear colleague, please distribute the call below to eligible female undergraduate/BA/BSc/MA/MSc students. Note the extended deadline for abstracts: 1 June 2018. Thank you, Odette ==== YFRSW-2018, Hyderabad, India, September 1, 2018 ==== Final Call for 3rd International Workshop for Young Female Researchers in Speech Science & Technology (YFRSW-2018) Special event of Interspeech 2018, Hyderabad, India == Important Dates: - Abstract submission opens: 16 April 2018 - NEW DEADLINE: Abstract submission closes: 1 June 2018 - Notification of acceptance: 15 June 2018 - Registration deadline: 5 July 2018 - Workshop date: 1 September 2018 == Topic: The aim of this workshop is to bring women undergraduate and masters students, who are currently working in speech science and technology, together at a special event co-located with Interspeech 2018, Hyderabad, India. The workshop will take place on 1 September 2018 from 10am to 5pm followed by a dinner with invited senior members of the Interspeech community. It will feature panel discussions with senior female researchers in the field, student poster presentations and a mentoring session. The workshop is the third of its kind, after a successful inaugural event (YFRSW 2016) at Interspeech 2016 in San Francisco and the second event (YFRSW 2017) in Stockholm, Sweden. It is designed to foster interest in research in our field in women at the undergraduate or master level who have not yet committed to getting a PhD in speech science or technology areas, but who have had some research experience in their college and universities via individual or group projects. == Call for Participation Abstracts describing the student?s (planned) research (maximum of 300 words) should be submitted by email to yfrs.workshop at gmail.com by May 24, 2018. Abstracts will be reviewed by the committee and applicants will be notified by June 15, 2018. Emphasis will be on inclusivity although all submissions should be in the core scientific domains covered by Interspeech. == Preliminary Program: The workshop will include the following events: * A welcome breakfast with introductions (1h) * A panel of senior women talking about their own research and experiences as women in the speech community (1h) * A panel of senior students who work in the speech area to describe how they became interested in speech research (1h) * A poster session for the students to present their own research (2h) * A coaching session between students and senior women mentors (1h) * A networking lunch for students and senior women (1h) == Organizing committee: Amber Afshan (UCLA), Kay Berkling (Karlsruhe University), Heidi Christensen (University of Sheffield), Maxine Eskenazi (CMU), Milica Gasic (Cambridge University), Dilek Hakkani-T?r (Google Inc), Preethi Jyothi (IIT Bombay), Esther Klabbers (ReadSpeaker), Lori Lamel (LIMSI CNRS) Yang Liu (University of Texas Dallas) Karen Livescu (Toyota Technological Institute at Chicago), Pratibha Moogi (Samsung Electronics), Emily Mower Provost (University of Michigah), Catharine Oertel (EPFL) Bhuvana Ramabhadran (Google Inc), Odette Scharenborg (M*Modal), Elizabeth Shriberg (Ellipsis Health Inc), Isabel Trancoso (INESC-ID / Instituto Superior T?cnico) For further details, please see: https://sites.google.com/view/yfrsw2018/home From richard.jiang at northumbria.ac.uk Tue May 22 10:44:57 2018 From: richard.jiang at northumbria.ac.uk (Richard Jiang) Date: Tue, 22 May 2018 14:44:57 +0000 Subject: Connectionists: PhD Studentship - Automated Identification of Behavioural Dynamics for Secure Mobile Banking References: Message-ID: PhD Studentship: Automated Identification of Behavioural Dynamics for Secure Mobile Banking Northumbria University | Faculty of Engineering and Environment | Newcastle | United Kingdom https://www.findaphd.com/search/ProjectDetails.aspx?PJID=82068 About This PhD Project Behavioural biometrics (such as touch dynamics) is emerging as a new way to identify and characterize an individual in mobile applications. This project aims to develop a framework to utilize the personnel identification for mobile banking applications. Particularly the research will investigate the anomalies in behavioural dynamics and estimate the impact on secure mobile banking/trading within the background of Big Data and Cloud Service. It is also expected to study decision making by individuals and understand the anomalies by integrating social, cognitive, and emotional factors in understanding the interplay between mobile banking/trading behaviour and neural/emotional mechanisms. The project aims at developing a secure mobile banking platform with analytic functions and testing it in the application of big data analytics and cloud service with our industry partner. The PhD research will be a part of an EPSRC funded project. The successful candidate will work with professionals from both academic and industry, particularly with our partner Atom Bank. Applicants with a multidisciplinary background on biometrics, machine learning, artificial intelligence, financial statistics, big data analytics, and/or cloud computing are welcome. Eligibility and How to Apply: Please note eligibility requirement: ? Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement. ? Appropriate IELTS score, if required (evidence required by 1 August 2017). For further details of how to apply, entry requirements and the application form, see https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/ Please ensure you quote the advert reference above on your application form. Deadline for applications: 30 May 2018 Interview date: 20 June 2018 Start Date: 1 October 2018 Northumbria University is an equal opportunities provider and in welcoming applications for studentships from all sectors of the community we strongly encourage applications from women and under-represented groups. Funding Notes This project is a funded studentship and includes a full stipend, paid for three years at RCUK rates (for 2017/18 this is ?14,553 pa) and fees (Home/EU ?4,350 / International ?13,000), available to applicants worldwide. Informal inquiry can be forwarded to Dr Richard Jiang, richard.jiang at unn.ac.uk. This message is intended solely for the addressee and may contain confidential and/or legally privileged information. Any use, disclosure or reproduction without the sender?s explicit consent is unauthorised and may be unlawful. If you have received this message in error, please notify Northumbria University immediately and permanently delete it. Any views or opinions expressed in this message are solely those of the author and do not necessarily represent those of the University. Northumbria University email is provided by Microsoft Office365 and is hosted within the EEA, although some information may be replicated globally for backup purposes. The University cannot guarantee that this message or any attachment is virus free or has not been intercepted and/or amended. -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Tue May 22 12:25:56 2018 From: alessandra.sciutti at gmail.com (Alessandra Sciutti) Date: Tue, 22 May 2018 18:25:56 +0200 Subject: Connectionists: 4 Fully Funded PhD Positions at the Italian Institute of Technology in the Cognitive Robotics and Interaction Lab of the Robotics, Brain and Cognitive Sciences Department Message-ID: <013501d3f1e9$90367b80$b0a37280$@gmail.com> Apologies for cross-posting ================================================================== PhD Openings at the Cognitive Robotics and Interaction Lab Robotics, Brain and Cognitive Sciences Department Italian Institute of Technology =========================================================== In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum ?Cognitive Robotics, Interaction and Rehabilitation Technologies? provides interdisciplinary training at the interface between technology and life-sciences. The general objective of the program is to form scientists and research technologists capable of working in multidisciplinary teams on projects where human factors play a crucial role in technological development and design. Robotics and neuroscience researchers in RBCS share, as a fundamental scientific objective, the study of physical and social interaction in humans and machines ( www.iit.it/rbcs ). Among the different research themes proposed I would like to advertise these topics: ? Visual cues for mutual understanding in human-robot interaction ? Computational Neuroscience models for auditory aware robots ? Transferring of human-robot interaction competencies: towards robot symbiosis in the acquisition of new skills ? Cyber-physical social security applied to emergent innovative technologies The ideal candidates are students with a higher level university degree willing to invest extra time and effort in blending into a multidisciplinary team composed of neuroscientists, engineers, psychologists, physicists working together to investigate brain functions and realize intelligent machines, rehabilitation protocols and advanced prosthesis. International applications are encouraged and will receive logistic support with visa issues, relocation, etc. Below you can find more details related to the positions and the instructions on how to apply ======================================================================= Application deadline: *****12 June 2018, Noon, Italian time***** ======================================================================= =============== Themes =============== Visual cues for mutual understanding in human-robot interaction Tutors: Alessandra Sciutti, PhD; Francesco Rea, PhD; Prof. Giulio Sandini Institute: IIT (Istituto Italiano di Tecnologia) Research Unit: Robotics, Brain and Cognitive Sciences (https://www.iit.it/rbcs) Division: Cognitive Robotics and Human-Human Interaction Description: The ability of humans at interacting and collaborating with each other is based on mutual understanding and is supported by a continuous exchange of information mediated only in minimal part by language. The majority of messages are covertly embedded in the way the two partners move their eyes and their body. This implicit information exchange allows to anticipate the needs and intentions of the partner. The general goal of this project will be to provide the humanoid iCub robot with the ability to perceive these covert visual signals sent by its human partners, as well as becoming able to send analogous cues with its own movements. The pipeline of the computational system includes an attentional module able to localize the portion of the scene containing biological motion and to extract the visual properties of the observed movements, as speed, trajectory, acceleration. Starting from this analysis, performed by modules already available on the robot, iCub will need to use the derived movement features to understand its partners? actions and to decode their intentions, needs and emotions. View-invariance will be one of the crucial aspects of the system. Additionally, these movement features will guide the selection of the appropriate robot behavior, to make it intuitively predictable and legible to the partner. Robot motion planning could leverage existing tools to design biologically plausible robot movements for the iCub. Requirements: degree in robotics, bioengineering, computer science, computer engineering, or related disciplines, attitude for problem solving, c++ programming. A background on computer vision and machine learning is an asset. References 1. Sciutti A., Mara M., Tagliasco V., Sandini G. 2018 Humanizing Human-Robot Interaction: On the Importance of Mutual Understanding, IEEE Technology and Society Magazine https://ieeexplore.ieee.org/document/8307144/ 2. Sciutti A. & Sandini G. 2017 , ?Interacting with Robots to Investigate the Bases of Social Interaction?, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 10.1109/TNSRE.2017.2753879 http://ieeexplore.ieee.org/document/8068256/ 3. Vignolo A., Noceti N., Rea F., Sciutti A., Odone F. & Sandini G. 2017, ?Detecting biological motion for human-robot interaction: a link between perception and action?, Frontiers in Robotics and AI, 4. http://journal.frontiersin.org/article/10.3389/frobt.2017.00014/full 4. Sandini G., Sciutti A. & Rea F. (2018) ?Movement-based communication for humanoid-human interaction?. In: Section: Human-Humanoid Interaction, Humanoid Robotics: a Reference Contacts: alessandra.sciutti at iit.it, francesco.rea at iit.it, giulio.sandini at iit.it - Applicants are strongly encouraged to contact the perspective tutors before they submit their application. ============================================================================ ============================= Computational Neuroscience models for auditory aware robots Tutors: Francesco Rea, PhD; Prof. Giulio Sandini Institute: IIT (Istituto Italiano di Tecnologia) Research Unit: Robotics, Brain and Cognitive Sciences (https://www.iit.it/rbcs) Division: Cognitive Robotics and Human-Human Interaction Description: Selective attention is fundamental to any living being as a prerequisite for action performance and social interaction. The process of visually shifting attention on task-relevant targets has been studied extensively in cognitive neuroscience and implemented computationally for a variety of real-word problems. However multisensory attention has been only partially exploited despite the evident advantages in attentional orienting and explicit communication (speech) understanding in social realistic contexts. The PhD program will implement a novel computational neuroscience models of auditory processing by endowing the humanoid robot iCub with auditory awareness in an unstructured acoustic world. In detail, iCub will 1) show proactive attention toward relevant salient sound sources, 2) generate motor-control and integrate sensor input across successive movements to reinforce the interpretation of the scene, and 3) provide a reliable and novel speech recognition system [1],[2]. The activities carried out in collaboration with with department of computational neuroscience at University of Lethbridge (Alberta, Canada) aim: a) to consolidate audio attention system in the existing robotics setup iCub[3]; b) to enable experimentation involving ecological interaction with human subjects; c) to enhance the existing multimodal attention system; d) to provide deep-learning models of speech recognition based on DNNs; e) to integrate the outcome in the iCub cognitive architecture [4]. Requirements: degree in robotics, bioengineering, computer science, computer engineering, or related disciplines, attitude for problem solving, c++ programming. A background on machine learning is an asset. References: 1. Mosadeghzad M., Rea F., Tata M., Brayda L. & Sandini G. 2015, ?Saliency Based Sensor Fusion of Broadband Sound Localizer for Humanoids?, 2015 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2015), San Diego, CA, USA, September 14-16, 2015; 2. Ilievski M., Rea F.IIT, Sandini G., Tata M., ?A Binaural Beamforming Approach to Resolve Complex Auditory Scenes for Humanoid Robots? 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, BC, Canada, September 24-28, 2017 3. Rea F., Sandini G., Metta G., ?Motor biases in visual attention for a humanoid robot?, IEEE-RAS International Conference on Humanoid Robots, vol. 2015-February, pp. 779-786 4. Mohan V, Sandini G, Morasso P. (2014), ?A neural framework for organization and flexible utilization of episodic memory in "cumulatively" learning baby humanoids?, Neural Computation 26(12), 2692-2734, MIT Press Contacts: francesco.rea at iit.it , giulio.sandini at iit.it - Applicants are strongly encouraged to contact the perspective tutors before they submit their application. ============================================================================ ============================= Transferring of human-robot interaction competencies: towards robot symbiosis in the acquisition of new skills Tutor: Jacopo Zenzeri, PhD; Alessandra Sciutti, PhD; Francesco Rea, PhD Institute: IIT (Istituto Italiano di Tecnologia) Research Unit: Robotics, Brain and Cognitive Sciences (https://www.iit.it/rbcs) Division: Motor Learning, Assistive and Rehabilitation Robotics & Cognitive Robotics and Human-Human Interaction Description: In the recent years many studies focused on how to optimize human-robot collaboration tasks. Here we focus on a fundamental case where a human agent has to learn how to use a tool while collaborating with an expert humanoid robot agent which, in this case, plays the active role of maximizing the learning of the human. In this new perspective the process will proceed in two steps: 1) the humanoid robot acquire the knowledge of the collaborative tasks and becomes the ?robot teacher? by interacting (through the tool) with an expert human; 2) the na?ve human interact (through the tool) with the ?robot teacher? in order to learn the task in an optimal way. Behavioral experiments on motor learning will be conducted using haptic interfaces to study motor control mechanisms and how motor control strategies emerge during the interaction with specific set of tools. This activity is based on recent studies on dyadic interaction [1-2] and will contribute to define human inspired models of interaction. The model is transferred to the humanoid agent to acquire the human expert knowledge (in step 1) and to teach it to the na?ve one (in step 2). Behavioral experiments will then be conducted with the humanoid robot iCub to implement real use cases. In this context, the proactive role of the iCub will enrich existing cognitive framework for human robot interaction. The candidate will also exploit measure of engagement in the task (attentional level, cognitive load and fatigue). Requirements: a master degree in Bioengineering, Computer Science or equivalent, with experience in the analysis and modeling of human movements and in robot programming. References: 1. Avila-Mireles, E.J. et al., 2017. Skill learning and skill transfer mediated by cooperative haptic interaction. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(7), pp.832?243. 2. Galofaro, E., Morasso, P. & Zenzeri, J., 2017. Improving motor skill transfer during dyadic robot training through the modulation of the expert role. In IEEE International Conference on Rehabilitation Robotics. London. 3. Vignolo A., Noceti N., Rea F., Sciutti A., Odone F. & Sandini G. 2017, ?Detecting biological motion for human-robot interaction: a link between perception and action?, Frontiers in Robotics and AI, 4. Contacts: jacopo.zenzeri at iit.it alessandra.sciutti at iit.it francesco.rea at iit.it - Applicants are strongly encouraged to contact the perspective tutors before they submit their application. ============================================================================ ============================= Cyber-physical social security applied to emergent innovative technologies Tutor: Francesco Rea, Stefano Bencetti Institute: IIT (Istituto Italiano di Tecnologia) Department: ICT/ Robotics, Brain and Cognitive Sciences (https://www.iit.it/rbcs) Description: The field of cyber security is a fast-growing discipline that impacts on the interaction between people and technology. Even though the effectiveness of security measures to protect personal data is increasing, people remain susceptible to manipulation and thus the human element remains the weakest link. Social engineering. Such weakness is often is exploited by the use of various manipulation techniques aiming at the disclosure of sensitive information, namely social engineering. The field of social engineering is still in its early stages however the interaction between individuals and new technologies ( assistive robotics, robot companion) and new ways of working (smart working) might be exposed to yet unknown risks associated with the misuse of protected data only partially addressed by traditional computer security. The overall aim of the project is to investigate how to prevent disclosure of sensitive information applied to the areas where humans use interconnected technologies (e.g. :robotics, IOT, Big Data Analytics systems) especially in the context of human machine interactions (e.g.: robot companion, assistive robotics, home assistance, etc.). The aim unfolds into two goals for the candidate. First, the ideal candidate is required to develop algorithms of human machine interaction that adapts to the person. The technology autonomously decides what sensitive information is acquired from the person in relation to the specific objective of the interaction (medical assessment, adaptation to user`s needs, etc). For example, the assistive robot autonomously adapts the data acquisition strategy to the goal of improving the provided assistance without the acquisition of personal data, which is irrelevant to the assistance. The second goal is to improve the robustness and high integrity of system architectures (cyber-physical security) adopted for above-mentioned cutting-edge technologies. The solutions defined by the candidate can also help the security risk management and the analysis of social engineering threats. As outcome of the project, such methodologies will be concretely applied to innovative applications designed at the Istituto Italiano di Tecnologia in collaboration with the robotic labs of the institute to make the applications socially aware and socially acceptable. Requirements: a degree in Computer Science with high interests in life sciences. Programming skills, familiarity with social network Contacts: francesco.rea at iit.it stefano.bencetti at iit.it - Applicants are strongly encouraged to contact the perspective tutors before they submit their application. =============== How to apply =============== Please note that the positions are available through the PhD course of Bioengineering and Robotics, curriculum on Cognitive Robotics, Interaction and Rehabilitation Technologies, offered jointly by IIT and the University of Genoa. The official calls are available here: https://www.iit.it/phd-school/phd-school-genoa under the Curriculum ?Cognitive Robotics, interaction and rehabilitation technologies?. Please have a look at the "ADMISSION GUIDE" section, which contains detailed instructions on how to apply and a list of documents you have to present. In particular, note that the preparation of a short project proposal is required and is important in the evaluation of prospective candidates. Please find here a template (PDF) : http://phd.dibris.unige.it/biorob/media/Template%20for%20Research%20Project_ v2.0.pdf The link to the on-line application page is: https://www.studenti.unige.it/postlaurea/dottorati/XXXIV/EN/ In case of problems or questions related to the application procedure, please contact: anastasia.bruzzone at iit.it ============================================================ Application deadline: *****12 June 2018, Noon, Italian time****** ============================================================ ---------------------------------------- Alessandra Sciutti (PhD) Researcher, Robotics Brain and Cognitive Sciences Unit Istituto Italiano di Tecnologia Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy tel: +39 010 8172 210 email: alessandra.sciutti at iit.it website: https://www.iit.it/people/alessandra-sciutti -------------- next part -------------- An HTML attachment was scrubbed... URL: From tj at cs.cornell.edu Tue May 22 16:02:42 2018 From: tj at cs.cornell.edu (Thorsten Joachims) Date: Tue, 22 May 2018 20:02:42 +0000 Subject: Connectionists: CFP: Offline Evaluation for Recommender Systems @ RecSys 2018 Message-ID: REVEAL 2018: Offline Evaluation for Recommender Systems Workshop at ACM RecSys 2018, Vancouver, CA October 7, 2018 https://sites.google.com/view/reveal2018/home One of the main goals of offline metrics for recommender systems is to indicate the future online performance of the same recommender system in an online setting, as measured by various user-based utility metrics, such as the time spent by a user on the website, the number of media items consumed, the number of attributed sales or the reported user satisfaction. However, practitioners often observe significant differences between offline and online results of a new algorithm, and therefore tend to mostly rely on online methods such as A/B testing to evaluate their algorithms. To this end, we welcome contributions that advance the current state of knowledge on offline recommendation metrics that correlate well with the final performance of the online recommender system; or new recommendation algorithms that directly optimize for online metrics. We invite submissions of 2-8 pages to be presented as talks or posters. The reviews will be single-blind. Potential contributions include (but are not limited to): * Framing the problem: what are we trying to solve exactly? This includes work on the theoretical foundations of the recommendation task and on the corresponding offline metrics: * Recommendation as a counterfactual inference problem. This encompasses all work on new offline metrics and new optimization criteria for recommendation using ideas from causal inference, such as: Learning from data Missing Not at Random (MNAR), Counterfactual Risk Minimization (CRM) and Batch Learning from Bandit Feedback (BLBF), Deconvolving recommendation-lead from organic feedback in logged data, Causal Inference using domain adaptation * Recommendation as a reinforcement learning problem. This is aimed to all work that frames recommendation as a reinforcement learning task and that borrows ideas from RL on evaluating recommendation policies, such as the use of simulation in recommender systems evaluation. * Studies on offline-online metrics correlation for Recommendation. * More realistic offline metrics. * Offline metrics for slate recommendation evaluation. * Offline metrics for logged data with sequential recommendation exposure and delayed feedback. * Datasets and toolkits. * New exploration schemes to improve the collection of more informative offline datasets. * Open datasets. All recommendation dataset releases that aim to somehow bridge the gap between offline and online metrics. * Toolkits. Including new software for evaluation metrics, reproducible research and baseline algorithms. Submission deadline: July 28th, 2018 via our CMT website. --- Thorsten Joachims Chair, Department of Information Science Professor, Department of Computer Science Cornell University http://www.joachims.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tomislav.Milekovic at unige.ch Wed May 23 06:21:38 2018 From: Tomislav.Milekovic at unige.ch (Tomislav Milekovic) Date: Wed, 23 May 2018 10:21:38 +0000 Subject: Connectionists: Postdoctoral Position in Brain-Computer Interfaces Message-ID: <5e519806460740db8bcd726c0377c7e4@unige.ch> The research group Dr. Tomislav Milekovic at the University of Geneva is offering a postdoctoral position financed by the Wyss Center for Bio and Neuroengineering and the Swiss National Science Foundation to work on restoring communication and independence of people with tetraplegia and locked-in syndrome using brain-computer interfaces. The successful applicant will work to develop and advance brain-computer interfaces based on electroencephalography (EEG) and intracortical microelectrode array recordings. The ideal candidate will have: 1. Experience in assembling and maintaining brain-computer interface systems 2. Leading brain-computer interface experiments with human or animal subjects 3. Experience in the quantitative analysis of electrophysiological neural signals (EEG, ECoG, LFP, spikes) 4. Background in computational/theoretical neuroscience, physics or mathematics 5. Experience in developing and using neural decoders 6. Experience in C/C++ software development The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. They will collaborate with several labs of the Campus Biotech in Geneva, and be strongly supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive postdoctoral salaries ranking among the highest in the world. Applications including a CV and the statement of research interests should be sent to tomislav.milekovic at unige.ch. -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Wed May 23 06:37:29 2018 From: benoit.frenay at unamur.be (Benoit Frenay) Date: Wed, 23 May 2018 12:37:29 +0200 Subject: Connectionists: PhD positions at University of Namur Message-ID: *** Several PhD studentships are available on *** *** Software engineering and software quality assurance for learning systems *** University of Namur // Namur Digital Institute (NADI) Supervisors: Patrick Heymans, Pierre-Yves Schobbens, Beno?t Frenay and Gilles Perrouin. The studentships are available immediately. Applications are continuously reviewed until positions are filled. Positions involve developing and studying solutions to improve the engineering and quality assurance (testing, verification...) of software that?learns and adapts its behavior accordingly. The successful candidates will join the stimulating research environment provided by NADI and the?VeriLearn project, an ambitious inter-university project funded by the Belgian research foundations (FNRS and FWO) and conducted jointly?with KUL (team of Luc De Raedt) and ULB (team of Jean-Fran?ois Raskin). We are looking for motivated candidates, determined to graduate within 4 years and to publish their results in the best conferences and journals.?Candidates should hold a Master or Engineering degree in Computer Science, or equivalent. They should have affinity with one or more of the?following topics: software engineering, quality assurance (testing, verification...), formal methods and machine learning. PhD students earn between 1.900 and 2.000 EUR net salary per month. Positions are based in Namur, Belgium. Namur is the capital of Wallonia, the french-speaking region of Belgium. ?It is a charming and affordable?midsize city situated 45 min south from Brussels and within 3 hours from the Paris, London, Amsterdam and Bonn. For more information on the research and the position, please contact patrick.heymans at unamur.be , including a copy of your CV if possible.??Formal applications require providing (1) a full CV (including a publication list if any), (2) a cover letter of max 2 pages describing your skills,?experience, and why you are well suited to the position, (3) a transcript with the grades obtained for each course you took on each university?year, (4) optional recommendation letters (up to three). Please use ?'VERILEARN APPLICATION'? as the subject of your email. We promote diversity in employment and welcome applications from all sections of the community. -- Beno?t FR?NAY Associate Professor Faculty of Computer Science T. +32 (0)81 724 976 (secr. 725 252) F. +32 (0)81 724 967 benoit.frenay at unamur.be Universit? de Namur ASBL Rue de Bruxelles 61 - 5000 Namur Let?s respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: From vishal.pup at gmail.com Wed May 23 08:05:29 2018 From: vishal.pup at gmail.com (=?UTF-8?B?VmlzaGFsIEdveWFsKOCkteCkv+CktuCkvuCksiDgpJfgpYvgpK/gpLIp?=) Date: Wed, 23 May 2018 17:35:29 +0530 Subject: Connectionists: ICON-2018: First CFP - Paper Submission deadline July 15, 2018 Message-ID: ***Apologies if you have received multiple copies of this CFP*** http://www.icon2018.in/ ============================================ ICON 2018 : 15th International Conference on Natural Language Processing Punjabi University, Patiala, India 15th - 18th December, 2018 Welcome to ICON 2018, Organized by: NLP Association, India IIIT, Hyderabad Punjabi University, Patiala Linguistic Data Consortium for Indian Languages, CIIL, Mysore ============================================ CALL FOR PAPERS The 15th International Conference on Natural Language Processing (ICON-2018) will be held at Punjabi University, Patiala during December 15-18, 2018. The ICON Conference series is a forum for promoting interaction among researchers in the field of Natural Language Processing (NLP) and Computational Linguistics (CL) in India and abroad. The main conference is on December 16-17, 2018. This will be preceded by one day of pre-conference tutorials on December 15, 2018 and one day of post conference workshops on December 18, 2018. Papers in ICON proceedings will be indexed in ACL Anthology. ACL Anthology is a digital archive of research papers in Computational Linguistics for major international conferences under Association for Computational Linguistics (ACL), which is one of the most well-known associations for NLP and CL. The previous proceedings of ICON 2014, ICON 2015, ICON2016, and ICON 2017 can be found in ACL Anthology. TOPICS Papers are invited on substantial, original and unpublished research on all aspects of Natural Language Processing, with a particular focus on South Asian languages and other less resourced languages, issues, and applications relevant to South Asia. Papers on other languages of the world are also invited. The areas of interest include, but are not limited to: Phonology Morphology Syntax Semantics Discourse POS Tagging Parsing Word Sense Disambiguation Machine Translation/Statistical Machine Translation Pragmatics Computational or Quantitative Psycholinguistics Statistical Methods Knowledge-based Methods Annotation and Annotated Corpora Lexical Resources Ontology Sentiment Analysis Machine Learning in NLP NLP-based Recommendation Systems Performance Evaluation of NLP Systems Information Retrieval Information Extraction Automatic Text Summarization Question Answering Natural Language Generation Dialog Systems Speech Corpora Speech Recognition Speech Synthesis NLP for Language Documentation and Preservation NLP for Educational Purposes NLP for Digital Humanities Social Media Analytics The authors have to submit papers under any of the areas mentioned above and must mark the topic(s) of their paper at the time of submission. FORMAT OF SUBMISSION Papers in English, not exceeding 8 pages, should be submitted on the ONLINE PORTAL at Microsoft CMT. Papers should include an abstract of about 100-200 words. Please follow the paper submission template details described in next section. There are two tracks: one for the main conference and one for the Student Paper Competition. You should select one of these while submitting the paper (not both). Similarly, Choose NLP Software Contest option for sending abstract for it.DOUBLE BLIND REVIEW: Papers in electronic form in the PDF format, anonymous for double blind review, should be submitted. If your paper contains text of languages other than English, all the non English text should be in Unicode only. Paper Submission Template Submission is electronic, using the Microsoft CMT. The submission site is open at: https://cmt3.research.microsoft.com/ICON2018 Long/short paper submissions must use the official ACL 2018 style templates. Long papers must not exceed eight (8) pages of content. Short papers must not exceed four (4) pages of content. References do not count against these limits. LaTeX (acl_natbib.bst updated 18th February) Microsoft Word Style files were updated on 14th April, 2018 to clarify the location of supplementary material. All submissions must be in PDF format and must conform to the official style guidelines, which are contained in these template files. Templates links acl2018.org/downloads/acl18-latex.zip acl2018.org/downloads/acl_natbib.bst acl2018.org/downloads/acl18-word.zip CALL FOR TUTORIALS/WORKSHOPS Proposals are invited for pre-conference tutorials/workshops. Tutorials/Workshops can be of half-day or full-day duration. The proposal should be presented in the form of a 200-word abstract, one page topical outline of the content, description of the proposers and their qualifications relating to the tutorial content. Workshops on linguistic aspects of South Asian languages are also welcome. Send tutorial/workshop proposals to the ICON-2018 Secretariat by email iconnlp at pbi.ac.in . For further information, please refer to the Conference URL or contact the ICON-2018 Secretariat. NLP Software Contest The NLP Software contest, which is being held for first time in ICON, is intended to encourage and promote the development of NLP related software. The researchers, software developers and educators working in development of NLP software are invited to participate in the contest, by submitting a one page abstract of their software. Only independently running complete systems are eligible for the contest. Small Modules or tools developed for NLP Research or integration with larger systems will not be considered. Entries will be selected for inclusion in the conference program based on peer-review. The criteria for judging submissions include broad applicability and potential impact, novelty, technical depth, demo suitability, and other miscellaneous factors. Authors of selected entries will be invited to present and demonstrate their software in a special session in the conference program. To encourage the development of NLP software, the best three software entries, as judged by reviewers and the program committee, will be awarded cash prize as follows: FIRST PRIZE: Rs.10,000/- SECOND PRIZE: Rs.7,500/- THIRD PRIZE: Rs.5,000/- The abstracts for this contest may be submitted at https://cmt3.research.microsoft.com/ICON2018 For any clarifications, contact NLP Software Contest Chair. STUDENT PAPER COMPETITION IN LANGUAGE TECHNOLOGIES ICON-2018 announces STUDENT PAPER COMPETITION in two tracks: Track I : NLP (All areas) Track II : Linguistics (Morphology, Syntax and Semantics) Papers may be submitted under the link on the web page. Prizes will be awarded in each track based on original work carried out. The prizes are: FIRST PRIZE: Rs.10,000/- SECOND PRIZE: Rs.7,500/- THIRD PRIZE: Rs.5,000/- The short-listed papers in each track will be invited for presentation in a special session in the conference. Registration, domestic travel and subsistence expenses will be provided by the conference organizers for one author of each paper. Up to two winners will be offered summer fellowships at major NLP Centres in India. For any clarifications, contact Student Paper Competition Chair on iconnlp at pbi.ac.in IMPORTANT DATES Paper Submission Deadline July 15, 2018 Paper Acceptance Notification Oct 1, 2018 Camera Ready Copy Submission Oct 25, 2018 Tutorial/Workshop Proposals Submission July 25, 2018 Tutorial/Workshop Acceptance Notification Aug 15, 2018 NLP Software Contest Submission Deadline July 15, 2018 NLP Software Contest Acceptance Notificaton Aug 15, 2018 Student Paper Competition Submission Deadline July 15, 2018 Student Paper Acceptance Notification Oct 1, 2018 COMMITTEES Conference General Chair Rajeev Sangal, IIT-BHU, Varanasi, India Programme Chair Gurpreet Singh Lehal, Punjabi University, Patiala, India (Chair) Dipti Misra Sharma, IIIT Hyderabad, India (Co-Chair) NLP Software Contest M. D. Kulkarni, CDAC Pune, India (Chair) Rajeev R.R., ICFOSS Trivendrapuram, India (Co-Chair) Student Paper Competition Sanjay Dwivedi, BBAU (Central University Lucknow), India (Chair) Sarika Jain, NIT Kurukshetra, India (Co-Chair) Organizing Committee Vishal Goyal, Punjabi University Patiala, India Gurpreet Singh Joshan, Punjabi University Patiala, India Tejinder Singh Saini, Punjabi University Patiala, India Ankur Rana, Punjabi University Patiala, India CONTACT INFORMATION ICON-2018 Secretariat Research Centre for Punjabi Language and Technology Punjabi University, Patiala Punjab, Pin-147002, India Mobile: +91-98154-73767 (Dr. G. S. Lehal), +91-95010-96111 (Dr. Vishal Goyal), e-mail: iconnlp[AT]pbi[dot]ac[dot]in URL: http://www.icon2018.in -- *Regards,* Vishal Goyal, Ph.D., M.Tech., MCA, M.C.S.D. Associate Professor(Stage IV), Department of Computer Science, Punjabi University Patiala-147002. *************************************************************************************************************************************** *Forthcoming Conference - http://www.icon2018.in * *Theory Of Computation Video Lectures on YouTube:* https://www.youtube. com/channel/UCWkhzvxKuJ5G2SF2opeGngg *Book: A Simplified Approach to Data Structures, Shroff Publications and Distributors* http://www.shroffpublishers.com/detail.aspx?title=6163 *Machine Translation Systems:* [*Online Hindi to Punjabi Machine Translation Tool -* http://h2p.learnpunjabi.org ] [*Statistical Approach Based Hindi to Punjabi Machine Translation System * - http://statmt.org/~vishal/hp/index.cgi - http://tdil-dc.in/hi2pu/index.cgi ] *Editor-in-Chief : [Research Cell: An International Journal of Engineering Sciences, http://ijoes.vidyapublications.com ]* ************************************************************ ************************************************************* -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathis.richter at ini.rub.de Wed May 23 09:17:30 2018 From: mathis.richter at ini.rub.de (Mathis Richter) Date: Wed, 23 May 2018 15:17:30 +0200 Subject: Connectionists: Summer school 2018 - Neural dynamics for cognitive robotics Message-ID: Just a reminder that the deadline for applications to our summer school is next week on June 1, 2018! Please forward this advertisement to whoever you think might be interested. Thanks, Mathis Richter --- Summer School on: NEURONAL DYNAMICS FOR COGNITIVE ROBOTICS held September 10-14, 2018 at the Institute for Neural Computation, Ruhr-University Bochum in Germany, coordinated by Prof. Dr. Gregor Sch?ner. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and down-to-earth introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. The school combines tutorial lectures in the mornings with hands-on projects working with robotic systems. Participants will develop their own modeling project, which will connect to their ongoing doctoral or postdoctoral research. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. For more information see: https://www.dynamicfieldtheory.org/summerschool To apply, please send a CV and a short cover letter with background and motivation to mathis.richter at ini.rub.de Selection of participants will begin by June 1, 2018. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: summer_school_bochum_2018.pdf Type: application/pdf Size: 3025888 bytes Desc: not available URL: From george at cs.ucy.ac.cy Wed May 23 08:55:57 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 23 May 2018 15:55:57 +0300 Subject: Connectionists: 21st International Conference on Discovery Science (DS 2018): Second Call for Papers Message-ID: <44729245-7524-422B-AA8A-E501E396AAC0@cs.ucy.ac.cy> *** SECOND CALL FOR PAPERS *** 21st International Conference on Discovery Science (DS 2018) St. Raphael Resort, Limassol, Cyprus, 30-31 October, 2018 http://www.cyprusconferences.org/ds2018 (*** In conjunction with ISMIS 2018 ***) WELCOME The 21st International Conference on Discovery Science (DS 2018) provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. We welcome papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data. We particularly welcome papers addressing applications. Finally, we would like to encourage contributions from the areas of computational scientific discovery, mining scientific data, computational creativity and discovery informatics. DS 2018 will be co-located with ISMIS 2018, the 24th International Symposium on Methodologies for Intelligent Systems. The two conferences will be held in parallel, and will share their invited talks. TOPICS We invite submissions of research papers addressing all aspects of discovery science. We particularly welcome contributions that discuss the application of data analysis, data mining and other support techniques for scientific discovery including, but not limited to, biomedical, astronomical and other physics domains. Applications to massive, heterogeneous, continuous or imprecise data sets are of particular interests. Possible topics include, but are not limited to: ? Knowledge discovery, machine learning and statistical methods ? Ubiquitous knowledge discovery ? Data streams, evolving data and models ? Change detection and model maintenance ? Active knowledge discovery ? Learning from text and web mining ? Information extraction from scientific literature ? Knowledge discovery from heterogeneous, unstructured and multimedia data ? Knowledge discovery in network and link data ? Knowledge discovery in social networks ? Data and knowledge visualization ? Spatial/temporal Data ? Mining graphs and structured data ? Planning to learn ? Knowledge transfer ? Computational creativity ? Human-machine interaction for knowledge discovery and management ? Biomedical knowledge discovery and analysis ? Machine learning for high-performance computing, grid and cloud computing ? Applications of the above techniques to natural or social sciences PAPER SUBMISSION Papers may contain up to fifteen (15) pages and must be formatted according to the layout supplied by Springer-Verlag for the Lecture Notes in Computer Science series. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the DS 2018 review process Authors can submit their papers electronically via our submission page through Easychair: https://easychair.org/conferences/?conf=ds20180 . PUBLICATION AND JOURNAL SPECIAL ISSUES The DS 2018 proceedings will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and will be available at the conference. Authors of best papers will be invited to submit their extended versions to the Machine Learning journal (https://link.springer.com/journal/10994) published by Springer. Fast Track Processing will be used to have them reviewed and published. IMPORTANT DATES ? Paper Submissions due: 18th June 2018 ? Notification of Acceptance/Rejection: 18th July 2018 ? Camera-Ready Versions of Accepted Papers: 28th July 2018 ? Author Registration: 31st Juy 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE General Chair ? George Angelos Papadopoulos (University of Cyprus, Cyprus) Program Committee Co-Chairs ? Larisa Soldatova, Goldsmiths, University of London, UK ? Joaquin Vanschoren, Eindhoven University of Technology, the Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Wed May 23 12:23:03 2018 From: Pavis at iit.it (Pavis) Date: Wed, 23 May 2018 16:23:03 +0000 Subject: Connectionists: Fellow position in PAVIS on automatic visual inspection - [ Fellow ] 75380 In-Reply-To: <60225cd4495b431eb9848de6af36951e@iit.it> References: <60225cd4495b431eb9848de6af36951e@iit.it> Message-ID: <9ca9aaef310547098d41ba1a79204b49@iit.it> Fellow position in PAVIS on automatic visual inspection - [ Fellow ] Workplace: Genova, IIT, Italy Added on: 23/05/2018 - Expires on: 15/06/2018 The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for qualified applicants with a background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other related areas (e.g., recognition, classification, video analysis, etc.). The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other IIT research units providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions. To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners. This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a system that can inspect manufactured objects to detect defects or damages over the parts, like cracks, fissures, discoloration and other types of defects from optical, as well as other sensory modality data. This implies the development of novel algorithms for detection, classification and quality control that discriminate explicitly the anomaly in the object to be controlled. In particular, this new inspection problem will require the study of different types of features and the use of deep learning approaches is envisaged. This project will be carried out in collaboration with a major industrial partner. PAVIS is opening a research fellow position with expertise/experience in Computer Vision, Pattern Recognition or related areas, and research experience and qualification should follow the same lines. Candidates should have good programming skills in C/C++ and Matlab and a general knowledge of computer vision and machine learning approaches. Knowledge of deep learning frameworks (e.g., TensorFlow, Caffe, etc.) is also welcome. He/she is expected to publish his/her research results in leading international journals and conferences and collaborate with other researchers. Salary will be commensurate with qualification and experience and in line with international standards. Further details and informal inquiries can be made by email to pavis at iit.it quoting PAVIS- BC 75380 as the reference number. Please send your application, including a CV and a brief description of research interests and main accomplishments, to pavis at iit.it quoting ?Fellow PAVIS position 75380? in the email subject. This call will remain open and applications will be reviewed until the position is filled, but please apply by June 15th, 2018. IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo at iit.it). Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From gemmar at mit.edu Wed May 23 12:47:03 2018 From: gemmar at mit.edu (Gemma Roig) Date: Wed, 23 May 2018 16:47:03 +0000 Subject: Connectionists: Postdoctoral fellow and RA opening at MIT-SUTD International Design Center at Singapore University of Technology and Design Message-ID: <18A105B6-6E75-4B71-BD7E-1AE397756157@mit.edu> Hello, Please, find the description of the job openings below. Thanks. Postdoctoral fellow: MIT-SUTD International Design Center at Singapore University of Technology and Design We are seeking for a postdoctoral fellow to work on a research project related to automatic understanding of videos and music for affective computing. The position is for one year extendable to 2 years. Requirements: - PhD in computer Science, applied mathematics or related fields. - strong record of publications in tier 1 conferences and journals - strong knowledge in machine learning (deep learning, RNN, LSTMs) - excellent programming skills in python, and extensive experience in tensorflow, pytorch or related libraries - experience in video processing, - experience in audio and/or music processing, - knowledge of high performance distributed computing. Candidates with a hands on, proactive approach and problem-solving skills are strongly encouraged to apply. Application Instructions: Contact Dr. Gemma Roig, gemmar at mit dot edu. Include CV, 3 selected publications, grades and email address of at least 1 reference. Please include in the email subject: [IDC postdoc]. The Singapore University of Technology and Design is a relatively new university, founded in collaboration with MIT, that has a strong interdisciplinary focus on design. SUTD is established to advance knowledge and nurture technically-grounded leaders and innovators to serve societal needs, with a focus on Design, through an integrated multi-disciplinary curriculum and multi-disciplinary research. The official language at SUTD (and Singapore) is English. When moving to Singapore, you can expect a very high quality of life, futuristic buildings, tropical climate, excellent food and a perfect base for exploring South East Asia. Research Assistant MIT-SUTD International Design Center at Singapore University of Technology and Design Singapore We are seeking for a research assistant to work on a research project related to automatic understanding of videos and music for affective computing. The position is for one year extendable to 2 years. Requirements: - Master in computer science, master in applied mathematics, or in related fields - strong knowledge in machine learning (deep learning, RNN, LSTMs) - excellent programming skills in python, and extensive experience in tensorflow, pytorch or related libraries - experience in video processing, - experience in audio and/or music processing, - knowledge of high performance distributed computing. Candidates with a hands on, proactive approach and problem-solving skills are strongly encouraged to apply. Application Instructions: Contact Dr. Gemma Roig, gemmar at mit dot edu. Include CV, 1 selected publication, grades and email address of at least 1 reference. Please include in the email subject: [IDC RA] The Singapore University of Technology and Design is a relatively new university, founded in collaboration with MIT, that has a strong interdisciplinary focus on design. SUTD is established to advance knowledge and nurture technically-grounded leaders and innovators to serve societal needs, with a focus on Design, through an integrated multi-disciplinary curriculum and multi-disciplinary research. The official language at SUTD (and Singapore) is English. When moving to Singapore, you can expect a very high quality of life, futuristic buildings, tropical climate, excellent food and a perfect base for exploring South East Asia. -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.hussain at stir.ac.uk Wed May 23 15:06:47 2018 From: amir.hussain at stir.ac.uk (Amir Hussain) Date: Wed, 23 May 2018 19:06:47 +0000 Subject: Connectionists: Table of Contents: Cognitive Computation journal (Springer Nature): Vol.10 - No.1 / Feb 2018 & No.2 / April 2018 Issues Message-ID: <1527102437944.61944@stir.ac.uk> Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 10, No.1 / Feb 2018 and No. 2 / April 2018 Issues of (Springer Nature's) Cognitive Computation journal - www.springer.com/12559 ====================================================== Important News: Increased ISI SCI Impact Factor to 3.44 (Six bi-monthly Journal Issues being published, since 2015) ====================================================== As you will know, Cognitive Computation was selected for coverage in Thomson Reuter?s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ? Science Citation Index Expanded (also known as SciSearch?) ? Journal Citation Reports/Science Edition ? Current Contents?/Engineering Computing and Technology ? Neuroscience Citation Index? Cognitive Computation received its first Impact Factor (IF) in 2011. The ISI IF for 2016/17 has increased to 3.44 - Thomson Reuters Journal Citation Reports? 2017 Many congratulations to the editors, reviewers and authors! Want to be part of the growing success? Visit the journal homepage (http://springer.com/12559) for instructions on submitting your research. The Feb 2018 Issue comprises 10 Special Issue articles (on the exciting theme "Cognitively-inspired Computing for Knowledge Discovery") followed by 5 regular papers. The Guest Editorial by Kaizhu Huang, Rui Zhang, Xiaobo Jin and Amir Hussain, is available for free download at: https://link.springer.com/article/10.1007/s12559-017-9532-y The full listings of published articles (Table of Contents) for this Issue can be viewed here (and also at the end of this message): http://link.springer.com/journal/12559/10/1/ The recent April 2018 Issue comprises 7 regular articles following by 9 Special Issue papers on "Brain Inspired Cognitive Systems (BICS'2016)". The Guest Editorial by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, and Zhaoxiang Zhang is available for free download at: https://link.springer.com/article/10.1007%2Fs12559-018-9551-3. The full listings of published articles (Table of Contents) for this Issue can be viewed here (and also at the end of this message, followed by an overview of previous Issues/Archive listings): http://link.springer.com/journal/12559/10/2/ A list of the journal's Open Access articles can be found here: http://link.springer.com/search?query=&search-within=Journal&facet-journal-id=12559&package=openaccessarticles Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ======================================== Reminder: Cognitive Computation "LinkedIn" Group: ======================================== To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has nearly 1000 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage:http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Marleen Moore, Marleen.Moore at springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six weeks of receipt. We also welcome relevant high quality multi-disciplinary proposals for Special Issues - three are already planned for 2018/19! With our very best wishes to all aspiring readers and authors of Cognitive Computation. Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu at cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) http://www.springer.com/12559 NEW: Open Access Springer Nature/BioMed Central (BMC) journal: Big Data Analytics (http://www.bdataanalytics.com/) - Now accepting submissions! NEW: Springer Series on Socio-Affective Computing: http://www.springer.com/series/13199 NEW: Book Series: Cognitive Computation Trends http://www.springer.com/series/15648 ============================= Table of Contents -- Cognitive Computation Vol 10 No 1, Feb 2018 ============================== Volume 10, Issue 1, February 2018 https://link.springer.com/article/10.1007%2Fs12559-017-9532-y Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery Kaizhu Huang, Rui Zhang, Xiaobo Jin, Amir Hussain https://link.springer.com/article/10.1007%2Fs12559-017-9522-0 Implicit Heterogeneous Features Embedding in Deep Knowledge Tracing Haiqin Yang, Lap Pong Cheung https://link.springer.com/article/10.1007%2Fs12559-017-9507-z Learning from Few Samples with Memory Network Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain https://link.springer.com/article/10.1007%2Fs12559-017-9495-z Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization Hao Wang, Ruibin Feng, Andrew Chi Sing Leung, K. F. Tsang https://link.springer.com/article/10.1007%2Fs12559-017-9517-x Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data Zohreh Gholami Doborjeh, Maryam G. Doborjeh, Nikola Kasabov https://link.springer.com/article/10.1007%2Fs12559-017-9489-x A Novel Manifold Regularized Online Semi-supervised Learning Model Shuguang Ding, Xuanyang Xi, Zhiyong Liu, Hong Qiao, Bo Zhang https://link.springer.com/article/10.1007%2Fs12559-017-9530-0 Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining Qingqun Ning, Jianke Zhu, Chun Chen https://link.springer.com/article/10.1007%2Fs12559-017-9525-x SSDM2: a Two-Stage Semantic Sequential Dependence Model Framework for Biomedical Question Answering Bo-Wen Zhang, Xu-Cheng Yin https://link.springer.com/article/10.1007%2Fs12559-017-9490-4 Human Reading Knowledge Inspired Text Line Extraction Liuan Wang, Seiichi Uchida, Anna Zhu, Jun Sun https://link.springer.com/article/10.1007%2Fs12559-017-9529-6 Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos Yijun Yan, Jinchang Ren, Huimin Zhao, Genyun Sun, Zheng Wang, Jiangbin Zheng, Stephen Marshall, John Soraghan https://link.springer.com/article/10.1007%2Fs12559-017-9486-0 A Semi-blind Model with Parameter Identification for Building Temperature Estimation Xing Luo, Xu Zhu, Eng Gee Lim, Yi Huang https://link.springer.com/article/10.1007%2Fs12559-017-9513-1 The Impact of Sentiment Features on the Sentiment Polarity Classification in Persian Reviews Ehsan Asgarian, Mohsen Kahani, Shahla Sharifi https://link.springer.com/article/10.1007%2Fs12559-017-9521-1 Detecting Multiple Coexisting Emotions in Microblogs with Convolutional Neural Networks Shi Feng, Yaqi Wang, Kaisong Song, Daling Wang, Ge Yu https://link.springer.com/article/10.1007%2Fs12559-017-9460-x A Framework for Building an Arabic Multi-disciplinary Ontology from Multiple Resources Ahmad Hawalah https://link.springer.com/article/10.1007%2Fs12559-017-9512-2 Clustering-Oriented Multiple Convolutional Neural Networks for Single Image Super-Resolution Peng Ren, Wenjian Sun, Chunbo Luo, Amir Hussain https://link.springer.com/article/10.1007%2Fs12559-017-9515-z Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification Guoqiang Zhong, Shoujun Yan, Kaizhu Huang, Yajuan Cai, Junyu Dong ============================= Table of Contents -- Cognitive Computation Vol 10 No 2, April 2018 ============================== Volume 10, Issue 2, April 2018 https://link.springer.com/article/10.1007%2Fs12559-017-9516-y An Online Sequential Learning Non-parametric Value-at-Risk Model for High-Dimensional Time Series Heng-Guo Zhang, Libo Wu, Yan Song, Chi-Wei Su, Qingping Wang, Fei Su https://link.springer.com/article/10.1007%2Fs12559-017-9519-8 A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks Mohammed Anbar, Rosni Abdullah, Bassam Naji Al-Tamimi, Amir Hussain https://link.springer.com/article/10.1007%2Fs12559-017-9520-2 The Importance of Pen Motion Pattern Groups for Semi-Automatic Classification of Handwriting into Mental Workload Classes Murad Badarna, Ilan Shimshoni, Gil Luria, Sara Rosenblum https://link.springer.com/article/10.1007%2Fs12559-017-9527-8 Similar Vague Concepts Selection Using Their Euclidean Distance at Different Granulation Prem Kumar Singh https://link.springer.com/article/10.1007%2Fs12559-017-9523-z A Novel Picture Fuzzy Linguistic Aggregation Operator and Its Application to Group Decision-making Peide Liu, Xiaohong Zhang https://link.springer.com/article/10.1007%2Fs12559-017-9526-9 Semantic Scene Mapping with Spatio-temporal Deep Neural Network for Robotic Applications Ruihao Li, Dongbing Gu, Qiang Liu, Zhiqiang Long, Huosheng Hu https://link.springer.com/article/10.1007%2Fs12559-017-9524-y Segmentation of Drivable Road Using Deep Fully Convolutional Residual Network with Pyramid Pooling Xiaolong Liu, Zhidong Deng https://link.springer.com/article/10.1007%2Fs12559-018-9551-3 Special Issue of BICS 2016 Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang https://link.springer.com/article/10.1007%2Fs12559-017-9518-9 Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains Muhammad Yousefnezhad, Daoqiang Zhang https://link.springer.com/article/10.1007%2Fs12559-017-9511-3 A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations Feifei Zhao, Yi Zeng, Guixiang Wang, Jun Bai, Bo Xu https://link.springer.com/article/10.1007%2Fs12559-017-9505-1 Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition Yi Zeng, Yuxuan Zhao, Jun Bai, Bo Xu https://link.springer.com/article/10.1007%2Fs12559-017-9514-0 End-to-End Lifelong Learning: a Framework to Achieve Plasticities of both the Feature and Classifier Constructions Wangli Hao, Junsong Fan, Zhaoxiang Zhang, Guibo Zhu https://link.springer.com/article/10.1007%2Fs12559-017-9491-3 Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation Yuan-Yuan Shen, Cheng-Lin Liu https://link.springer.com/article/10.1007%2Fs12559-017-9528-7 Learning Optimal Seeds for Ranking Saliency Huiling Wang, Lixiang Xu, Xiaofeng Wang, Bin Luo https://link.springer.com/article/10.1007%2Fs12559-017-9506-0 Compressing and Accelerating Neural Network for Facial Point Localization Dan Zeng, Fan Zhao, Wei Shen, Shiming Ge https://link.springer.com/article/10.1007%2Fs12559-017-9533-x Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition Jinpeng Li, Zhaoxiang Zhang, Huiguang He https://link.springer.com/article/10.1007%2Fs12559-017-9510-4 A Primal Neural Network for Online Equality-Constrained Quadratic Programming Ke Chen, Zhaoxiang Zhang ----------------------------------------------- Previous Issues/Archive: Overview: ----------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Bj?rn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jes?s B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 The full listing of Vol. 6, No.1 / Mar 2014, can be viewed here: http://link.springer.com/journal/12559/6/1/page/1 The full listing of Vol. 6, No.2 / June 2014, can be viewed here: http://link.springer.com/journal/12559/6/2/page/1 The full listing of Vol. 6, No.3 / Sep 2014, can be viewed here: http://link.springer.com/journal/12559/6/3/page/1 The full listing of Vol. 6, No.4 / Dec 2014 (Special Issue on Modeling emotion, behaviour and context in socially believable robots and ICT interfaces, Guest Editors: Anna Esposito, Leopoldina Fortunati, and Giuseppe Lugano) can be viewed here: http://link.springer.com/journal/12559/6/4/page/1 The full listing of Vol. 7, No.1 / Feb 2015 can be viewed here: http://link.springer.com/journal/12559/7/1/ (with the first six papers part of a Special Issue on "Neural Signal Processing", Guest Edited by: Jordi Sole?-Casals, Francois-Benoit Vialatte, Justin Dauwels. The Guest Editorial titled: "Alternative Techniques of Neural Signal Processing in Neuroengineering" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9317-0) The full listing of Vol. 7, No. 2 / April 2015, can be viewed here: http://link.springer.com/journal/12559/7/2/ This comprises a Special Issue on "Sentic Computing", Guest Edited by: E. Cambria and A. Hussain. The Guest Editorial titled: "Sentic Computing" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9325-0 The full listing of Vol. 7, No. 3 / June 2015, can be viewed here:http://link.springer.com/journal/12559/7/3/ The full listing of Vol. 7, No. 4 / August 2015, can be viewed here: http://link.springer.com/journal/12559/7/4/ This comprises an invited paper by A. Vinciarelli and A. Esposito, et al. titled: Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human?Human and Human?Machine Interactions, which is followed by six regular papers. The full listing of Vol. 7, No. 5 / October 2015, can be viewed here: http://link.springer.com/journal/12559/7/5/ The full listing of Vol. 7, No.6 / December 2015, can be viewed here: http://link.springer.com/journal/12559/7/6/ This comprises a Special Issue titled: "Dealing with Big Data-Lessons from Cognitive Computing" (the Guest Editorial is available for free download here: http://link.springer.com/article/10.1007/s12559-015-9364-6). This is followed by seven regular papers, including an invited paper by Hojjat Adeli et al. titled: "Nature Inspired Computing: An Overview and Some Future Directions" (free download available here: http://link.springer.com/article/10.1007/s12559-015-9370-8) The full listing of Vol. 8, No.1 / February 2016, can be viewed here: http://link.springer.com/journal/12559/8/1/ This comprises an invited paper by Ron Sun et al. titled: "Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture" (this is available for free download here: http://link.springer.com/content/pdf/10.1007%2Fs12559-015-9374-4.pdf). This is followed by eight regular papers. The full listing of Vol. 8, No. 2 / April 2016, can be viewed here: http://link.springer.com/journal/12559/8/2/ This comprises two invited papers, the first by Yew-Soon Ong et al. (titled: Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking) and the second by Zidong Wang et al. (titled: A Novel Switching Delayed PSO Algorithm for Estimating Unknown Parameters of Lateral Flow Immunoassay). These are followed by 10 regular papers, and finally a Special Issue titled: "Cognitively-Inspired Computing for Gerontechnology" (comprising five manuscripts, with the Guest Editorial available for free download here: http://link.springer.com/content/pdf/10.1007%2Fs12559-016-9392-x.pdf). The full listing of Vol. 8, No.3 / June 2016, can be viewed here: http://link.springer.com/journal/12559/8/3/ This Issue comprises two Open Access invited papers, the first by Hussein Abbass et al. (titled: "Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges", available for free download from: http://link.springer.com/article/10.1007/s12559-015-9365-5), and the second by Kevin Warwick et al. (titled: "Passing the Turing Test Does Not Mean the End of Humanity", available for free download from: http://link.springer.com/article/10.1007/s12559-015-9372-6). These are followed by 10 regular papers. The full listing of Vol. 8 No.4 / Aug 2016 can be viewed here: http://link.springer.com/journal/12559/8/4/ This Issue comprises an OPEN ACCESS invited paper, by Yiyu Yao (titled: Three-Way Decisions and Cognitive Computing, available for free download from: http://link.springer.com/article/10.1007/s12559-016-9397-5?view=classic ). This is followed by 16 regular papers. The full listing of Vol. 8 No. 5 / Oct 2016 can be viewed here: http://link.springer.com/journal/12559/8/5/ This Issue comprises a Special Issue on: Advances in Brain-Inspired Cognitive Systems (BICS), including a selection of 18 papers. The Guest Editorial (by Bin Luo, Amir Hussain, Mufti Mahmud and Jin Tang) is available for free download from: http://link.springer.com/article/10.1007/s12559-016-9431-7 The full listing of Vol. 8 No. 6 / Dec 2016 can be viewed here: http://link.springer.com/journal/12559/8/6/ The full listing of Vol. 9 No. 1 / Feb 2017 can be viewed here: http://link.springer.com/journal/12559/9/1/ The full listing of Vol. 9 No. 2 / April 2017 can be viewed here: http://link.springer.com/journal/12559/9/2/ The full listing of Vol. 9 No. 3 / June 2017 can be viewed here: http://link.springer.com/journal/12559/9/3/ This Issue also comprises a Special Issue on "Advances in Biologically Inspired Reservoir Computing". The Guest editorial (by Simone Scardapane, John B. Butcher, Filippo M. Bianchi and Zeeshan K. Malik) is available for free download at: https://link.springer.com/article/10.1007/s12559-017-9469-1/fulltext.html The full listing of Vol. 9 No. 4 / Aug 2017 can be viewed here: http://link.springer.com/journal/12559/9/4/ The full listing of Vol. 9 No. 5 / Oct 2017 can be viewed here: http://link.springer.com/journal/12559/9/5/ The full listing of Vol. 9 No. 6 / Dec 2017 can be viewed here: http://link.springer.com/journal/12559/9/6/? -- The University achieved an overall 5 stars in the QS World University Rankings 2016/17 The University of Stirling is a charity registered in Scotland, number SC 011159. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarathcse2008 at gmail.com Thu May 24 02:08:34 2018 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Thu, 24 May 2018 02:08:34 -0400 Subject: Connectionists: Final CfP [Deadline extended]: 2nd Workshop on Lifelong Learning: A Reinforcement Learning Approach @ICML/IJCAI 2018. Message-ID: Dear Colleagues, We would like to invite you to submit extended abstracts of between 4-8 pages to our 'Lifelong Learning: A Reinforcement Learning Approach' ICML/IJCAI 2018 Workshop which will be held in Stockholm, Sweden on July 14, 2018. This workshop is part of the Federated AI Meeting (FAIM) which includes ICML/IJCAI/AAMAS/ICCBR. IMPORTANT INFORMATION ************************************************ Website: https://sites.google.com/view/llarla2018/ Date: 14 July 2018 Location: Stockholm, Sweden Submission deadline: 30th May 2018, 11:59 PM (Anywhere on Earth) The deadline has been extended from 23rd May to 30th May due to several requests. Also, now we have student paper awards worth 1000 USD sponsored by DeepMind! OVERVIEW ************************************************ One of the most challenging and open problems in Artificial Intelligence (AI) is that of Lifelong Learning: ?Lifelong Learning is the continued learning of tasks, from one or more domains, over the course of a lifetime, by a lifelong learning system. A lifelong learning system efficiently and effectively (1) retains the knowledge it has learned; (2) selectively transfers knowledge to learn new tasks; and (3) ensures the effective and efficient interaction between (1) and (2).? Lifelong learning is still in its infancy. Many issues currently exist such as learning general representations, catastrophic forgetting, efficient knowledge retention mechanisms and hierarchical abstractions. Much work has been done in the Reinforcement Learning (RL) community to tackle different elements of lifelong learning. Active research topics include hierarchical abstractions, transfer learning, multi-task learning and curriculum learning. With the emergence of powerful function approximators such as in Deep Learning, we feel that now is a perfect time to provide a forum to discuss ways to move forward and provide a truly general lifelong learning framework, using RL-based algorithms, with more rigor than ever before. This workshop will endeavor to promote interaction between researchers working on the different elements of lifelong learning to try and find a synergy between the various techniques. SUBMISSION ************************************************ The submitted work should be an extended abstract of between 4-8 pages (including references). The submission should be in pdf format and should follow the style guidelines for ICML 2018. The review process is double-blind and the work should be submitted by the latest 30th May 2018, 11:59 PM (Anywhere on Earth). Submissions must be made through easychair: https://easychair.org/conferences/?conf=llarla2018 ?? There will be no formal publication of workshop proceedings. However, the accepted papers will be made available online on the workshop website. AREAS OF INTEREST ************************************************ - Using Hierarchical Abstractions to perform lifelong learning (e.g., skills/options and state space representations) - Catastrophic forgetting in lifelong learning - Transfer Learning - Multi-task Learning - Curriculum Learning - Meta-Learning - Deep Learning as a tool for performing lifelong learning - Determine new, challenging benchmark domains For more info see our website . WORKSHOP ORGANIZERS ************************************************ Sarath Chandar - University of Montreal Tom Zahavy - Technion Israel Institute of Technology Daniel J. Mankowitz - Technion Israel Institute of Technology Balaraman Ravindran - Indian Institute of Technology Shie Mannor - Technion Israel Institute of Technology We look forward to reviewing your submissions and hope to see you in Stockholm! Kind regards, Sarath, Tom, Daniel, Ravi, and Shie Lifelong Learning: A Reinforcement Learning Approach Workshop organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From carlo.colombo at unifi.it Thu May 24 02:13:07 2018 From: carlo.colombo at unifi.it (Carlo Colombo) Date: Thu, 24 May 2018 08:13:07 +0200 Subject: Connectionists: 3DV 2018 - DEADLINE EXTENDED to 29 May 2018 Message-ID: *************************************************** ??? 3DV 2018 MAIN CONFERENCE DEADLINE EXTENSION ??????? Apologies for multiple posting ?Please distribute this info to interested parties *************************************************** 6th International Conference on 3D Vision (3DV 2018) ??????? Verona, Italy, September 5-8, 2018 ?????????? >>>>>>> www.3dv.org<<<<<<< ----------------------------------------------------------- 3DV 2018 has officially extended the submission deadline to ?????????????????? 29th May 2018. The change is designed to accommodate the shift in the ECCV review timeline, and provide authors with an opportunity to revise and resubmit works reviewed by ECCV. See www.3dv.orgfor more details. ----------------------------------------------------------- ????? **************************************** ????????????? Important Dates (updated) ????? **************************************** ????? Paper submission deadline:? May 29, 2018 ????? Supplementary materials:??? May 31, 2018 ????? Acceptance notification:?? July 17, 2018 ????? Camera ready paper:??????? July 30, 2018 ????? Conference:????????? September 5-8, 2018 >>>>>>> For more information please visit www.3dv.org<<<< -- from: Prof. Carlo Colombo - Publicity Chair, 3DV 2018 Computational Vision Group @ University of Florence, Italy --- Questa e-mail ? stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Wed May 23 20:37:22 2018 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Wed, 23 May 2018 20:37:22 -0400 Subject: Connectionists: Reminder: CFN - Neural Networks Best Paper Award In-Reply-To: <84b6290d-93e2-0468-38e8-f498234e09a1@cse.ohio-state.edu> References: <84b6290d-93e2-0468-38e8-f498234e09a1@cse.ohio-state.edu> Message-ID: <0c9c2660-e400-8926-615d-e4438a42a2a9@cse.ohio-state.edu> Please note that the nomination deadline for the Best Paper Award is May 31 - see below. Thanks, DeLiang & Kenji On 4/8/2018 4:46 PM, DeLiang Wang wrote: > It is our pleasure to announce this year's Call for Nominations with > the deadline of May 31: > > https://www.journals.elsevier.com/neural-networks/news/call-for-nominations-neural-networks-best-paper-award > > > Information about the award is given below: > > https://www.journals.elsevier.com/neural-networks/news/neural-networks-best-paper-award > > > Thanks, > > Kenji Doya and DeLiang Wang, Co-Editors-in-Chief From J.Verhoef at donders.ru.nl Thu May 24 06:57:27 2018 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Thu, 24 May 2018 10:57:27 +0000 Subject: Connectionists: Language in Interaction: Synergy Crant 2018 - Call for Proposals Message-ID: <11E9E0B371DBAE4EB859A9CC30606A0463A584C2@exprd01.hosting.ru.nl> Dutch research consortium Language in Interaction Synergy Grants, Call for Proposals Submission deadline: September 09, 2018, 23:59 CET https://www.languageininteraction.nl/Download.html The Dutch research consortium Language in Interaction (LiI) offers two 4-year Synergy Grants to teams of two researchers at an early or more advanced phase after finishing a PhD program. Researchers from anywhere in the world may apply. LiI Synergy Grants aim to tackle truly bold scientific challenges through a unique combination of skills and knowledge of the researchers. The joint scientific research proposal should provide the scientific and technical aspects of a 4-year collaborative research project, demonstrating the ground-breaking nature of the research, its potential impact and research methodology. The two available Synergy Grants include the salaries of the two submitting postdoctoral researchers at early or more senior stages of their career. In addition to their own positions, for each grant LiI will finance up to two PhD positions, one RA position, and accompanying measurement costs / consumables. The full Call for Proposals (including all terms and conditions) of the LiI Synergy Grants can be downloaded from: https://www.languageininteraction.nl/Download.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From susanne.kunkel at nmbu.no Thu May 24 09:08:24 2018 From: susanne.kunkel at nmbu.no (Susanne Kunkel) Date: Thu, 24 May 2018 15:08:24 +0200 Subject: Connectionists: NEST Conference -- Register now! Message-ID: <7154b9e7-ebca-f82c-bf38-e1d4a492727a@nmbu.no> Dear Colleagues, This is just to let you know you that registration for the NEST Conference closes tomorrow 25 May. The NEST Conference will take place at the campus of NMBU at ?s, 30 km south of Oslo, right after midsummer on 25/26 June. The program is now available on https://indico-jsc.fz-juelich.de/event/71/ We look forward to an exciting conference! Best wishes, Susanne From ds2018.conference at gmail.com Thu May 24 07:34:56 2018 From: ds2018.conference at gmail.com (Discovery Science DS 2018) Date: Thu, 24 May 2018 13:34:56 +0200 Subject: Connectionists: Discovery Science 2018: Call for Papers Message-ID: *DS 2018-* The 21 st International Conference on Discovery Science *30-31 October, St Raphael Resort, Limassol, Cyprus* http://cyprusconferences.org/ds2018/ The 21st International Conference on Discovery Science (DS 2018) provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, semantic web, big data analysis as well as their application in various scientific domains. We welcome papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data. We particularly welcome papers addressing applications. Finally, we would like to encourage contributions from the areas of computational scientific discovery, mining scientific data, computational creativity and discovery informatics. DS-2018 will be co-located with ISMIS 2018 (http://cyprusconferences.org/ ismis2018/), the 24th International Symposium on Methodologies for Intelligent Systems. The two conferences will be held in parallel and will share their invited talks. The proceedings of the DS conference will be published in the Lecture Notes in Artificial Intelligence Series by Springer-Verlag. Selected papers will be invited for a submission to a special issue in Machine Learning journal. ::: Submission Topics ::: ------------------------- We invite submissions of research papers addressing all aspects of discovery science. We particularly welcome contributions that discuss the application of data analysis, data mining and other support techniques for scientific discovery including, but not limited to, biomedical, astronomical and other physics domains. Applications to massive, heterogeneous, continuous or imprecise data sets are of particular interests. Possible topics include, but are not limited to: - Knowledge discovery, machine learning and statistical methods - Ubiquitous knowledge discovery - Data streams, evolving data and models - Change detection and model maintenance - Active knowledge discovery - Learning from text and web mining - Information extraction from scientific literature - Knowledge discovery from heterogeneous, unstructured and multimedia data - Knowledge discovery in network and link data - Knowledge discovery in social networks - Data and knowledge visualization - Spatial/temporal Data - Mining graphs and structured data - Planning to learn - Knowledge transfer - Computational creativity - Human-machine interaction for knowledge discovery and management - Biomedical knowledge discovery and analysis - Machine learning for high-performance computing, grid and cloud computing - Applications of the above techniques to natural or social sciences ::: Submission Format ::: ------------------------- Papers may contain up to fifteen (15) pages and must be formatted according to the layout supplied by Springer-Verlag for the Lecture Notes in Computer Science series. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the DS 2018 review process. ::: Submission Mode ::: ----------------------- Authors can submit their papers electronically via our submission page through Easychair: https://easychair.org/conferences/?conf=ds20180 We encourage authors to submit an abstract well in advance of submitting a full paper. ::: IMPORTANT DATES ::: ----------------------- Full paper submission: 28th June 2018 Author notification: 28th July 2018 Camera-ready papers due: 28 July 2018 ::: Committees ::: ----------------------- George Papadopoulos, University of Cyprus, (General Chair ISMIS/DS) Larisa Soldatova, Goldsmiths, University of London, UK, (PC Chair DS 2018) and Joaquin Vanschoren, Eindhoven University of Technology, the Netherlands, (PC Chairs DS 2018) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Thu May 24 08:53:01 2018 From: Pavis at iit.it (Pavis) Date: Thu, 24 May 2018 12:53:01 +0000 Subject: Connectionists: 2 Postdoc positions in PAVIS on automatic visual inspection - [ Postdoc ] BC 75378 - 75379 In-Reply-To: <69fc06c0175f41f19a8fe874a55755d9@iit.it> References: <69fc06c0175f41f19a8fe874a55755d9@iit.it> Message-ID: <67f48c158f63493b83ab03fda5c88bbc@iit.it> 2 Postdoc positions in PAVIS on automatic visual inspection - [ Postdoc ] Workplace: Genova, IIT, Italy Added on: 23/05/2018 - Expires on 20/06/2018 The Pattern Analysis and Computer Vision (PAVIS) Research Line at IIT is looking for highly qualified candidates with a strong background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other related areas (e.g., recognition, video analysis, etc.). The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other IIT Research Lines providing scientists in Neuroscience, Nanophysics and other IIT Lines with ad-hoc solutions. To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners. This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a novel system that can inspect industrial parts in extreme environments. The system has to detect damages, like cracks and fissures, over the components of a large structure using different sensor modalities. This implies the development of novel algorithms for defect detection, classification and quality control that discriminate explicitly the photometric and physical attributes of each part. In particular, this new inspection problem will require the study of different types of features as well as robust and effective methodologies for detection and classification. In this context, experience and expertise in deep learning models is valuable and will be duly considered. This project will be managed in collaboration with a major industrial partner. Candidates for this position have a Ph.D. in Computer Vision, Pattern Recognition or related areas, and research experience and qualification should follow the same lines. Evidence of top quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is therefore mandatory. Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The winning candidate will also contribute to setting up new (funding) project proposals and will participate in funding activities. He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD students and collaborate with other scientists, also with different expertise. Salary will be commensurate to qualification and experience and in line with international standards. Duration 1 year. Further details and informal enquires can be made by email to pavis at iit.it quoting PAVIS- BC 75378 - 75379 as reference number. Please send your completed application forms along with a curriculum listing all publications (possibly including a pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and names of 2 referees by email by pavis at iit.it, always quoting PAVIS-BC 75378 - 75379 as reference. This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by June 20, 2018. IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo at iit.it). Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.aly at em.ci.ritsumei.ac.jp Thu May 24 22:49:32 2018 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Fri, 25 May 2018 11:49:32 +0900 Subject: Connectionists: CFP- ACM-THRI Special Issue on Representation Learning for Human and Robot Cognition Message-ID: *ACM Transactions on Human-Robot Interaction (T-HRI) * CALL FOR PAPERS **Apologies for cross posting ** We are happy to call for papers for the journal special issue: *"Representation Learning for Human and Robot Cognition"* *Webpage: **https://thri.acm.org/CFP-RLHRC.cfm * *I. Aim and Scope *Intelligent robots are rapidly moving to the center of human environment; they collaborate with human users in different applications that require high-level cognitive functions so as to allow them to understand and learn from human behavior within different Human- Robot Interaction (HRI) contexts. To this end, a stubborn challenge that attracts much attention in artificial intelligence is representation learning, which refers to learning representations of data so as to efficiently extract relevant features for probabilistic, nonprobabilistic, or connectionist classifiers. This active area of research spans different fields and applications including speech recognition, object recognition, emotion recognition, natural language processing, language emergence and development, in addition to mirroring different human cognitive processes through appropriate computational modeling. Learning constitutes a basic operation in the human cognitive system and developmental process, where perceptual information enhances the ability of the sensory system to respond to external stimuli through interaction with the environment. This learning process depends on the optimality of features (representations of data), which allows humans to make sense of everything they feel, hear, touch, and see in the environment. Using intelligent robots could open the door to shed light on the underlying mechanisms of representation learning and its associated cognitive processes so as to take a closer step towards making robots able to better collaborate with human users in space. This special issue aims to shed light on cutting edge lines of interdisciplinary research in artificial intelligence, cognitive science, neuroscience, cognitive robotics, and human-robot interaction, focusing on representation learning with the objective of creating natural and intelligent interaction between humans and robots. Recent advances and future research lines in representation learning will be discussed in detail in this journal special issue. *II. Potential Topics* Topics relevant to this special issue include, but are not limited to: - Language learning, embodiment, and social intelligence - Human symbol system and symbol emergence in robotics - Computational modeling for high-level human cognitive functions - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Language and action development - Learning, reasoning, and adaptation in collaborative human-robot tasks - Affordance learning - Cross-situational learning - Learning by demonstration and imitation - Language and grammar induction in robots *III. Submission* ACM Transactions on Human-Robot Interaction is a peer-reviewed, interdisciplinary, open-access journal using an online submission and manuscript tracking system. To submit your paper, please: - Go to https://mc.manuscriptcentral.com/thri and login or follow the "Create an account" link to register. - After logging in, click the "Author" tab. - Follow the instructions to "Start New Submission". - Choose the submission category ?*SI: Representation Learning for Human and Robot Cognition*?. *IV. Timline* - Deadline for paper submission: July 1, 2018 - First notification for authors: September 15, 2018 - Deadline for revised papers submission: November 15, 2018 - Final notification for authors: January 15, 2019 - Deadline for submission of camera-ready manuscripts: March 1, 2019 - Expected publication date: May 2019 *V. Guest editors* Takato Horii, The University of Electro-Communications, Japan ( takato at uec.ac.jp). Dr. Amir Aly, Ritsumeikan University, Japan (amir.aly at em.ci.ritsumei.ac.jp). Dr. Yukie Nagai, National Institute of Information and Communications Technology (NICT), Japan (yukie at nict.go.jp). Prof. Takayuki Nagai, The University of Electro-Communications, Japan ( nagai at ee.uet.at.jp). ---------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From asier.erramuzpe at gmail.com Fri May 25 05:48:47 2018 From: asier.erramuzpe at gmail.com (Asier Erramuzpe Aliaga) Date: Fri, 25 May 2018 11:48:47 +0200 Subject: Connectionists: 1 predoc in co-supervision at the frontiers between computational and clinical sciences @ Bilbao, Spain Message-ID: To all interested, In the *group of Neurodegenerative Diseases and the Computational Neuroimaging Group of the Biocruces Health Research Institute*, we are looking for a *candidate interested in carrying out the doctoral thesis* in Biomedicine. At the present time we are looking for* a candidate to apply for 2018 predoctoral funding calls (Basque Government, FPI of MINECO and other state predoctoral grants)*. A candidate is searched with the following *profile*: - *Degree in engineering, physics or mathematics* - Knowledge in *Computer Vision and programming (Matlab, Python, R)* - *Advanced English level *(demonstrable with official degree - C1) - *Good academic record *(average score higher than 7.0) We are two consolidated groups in the field of neurodegenerative and neuroimaging diseases. One of our main lines of research is the *identification of neuroimaging biomarkers in genetic forms of Parkinson's disease* and other neurodegenerative diseases. Specifically, both groups collaborated on a *longitudinal neuroimaging project in patients with Parkinson's *with *more than 100 participants that started in 2014* and which is being *funded by the Carlos III Health Institute, the Basque Government and the Michael J Fox Foundation*. The candidate would develop his doctoral thesis *under the supervision of I?igo Gabilondo* (Neurologist of the Group of Neurodegenerative Diseases) *and Jes?s Cort?s* (Physicist and Coordinator of Computational Neuroimaging Group) based on the data of the aforementioned project, working with *brain magnetic resonance and retina optical coherence tomography images*. Those interested in applying with us, must *send their CV and a letter of motivation* to *I?igo Gabilondo *( igabilon at gmail.com) *before June 15, 2018*. For *more information about our research groups*, visit: https://www.biocruces.org/ Greetings, -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri May 25 17:18:33 2018 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 25 May 2018 14:18:33 -0700 Subject: Connectionists: NEURAL COMPUTATION - June 1, 2018 In-Reply-To: Message-ID: ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 "toc30.6" [New] 47L, 1396C written dale% cat toc30.6 Neural Computation - Volume 30, Number 6 - June 1, 2018 Available online for download now: http://www.mitpressjournals.org/toc/neco/30/6 ----- Articles A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks E. Paxon Frady, Denis Kleyko, and Friedrich T Sommer SuperSpike: Supervised Learning in Multi-layer Spiking Neural Networks Friedemann Zenke, Surya Ganguli Letters A Learning Framework for Winner-take-all Networks With Stochastic Synapses Hesham Mostafa, Gert Cauwenberghs Optimal Readout of Correlated Neural Activity in a Decision Making Circuit Matias Calderini, Sophie Zhang, Nareg Berberian, and Jean-Philippe Thivierge Novel Perceptually Uniform Chromatic Space Maria da Fonseca, Ines Samengo Robust MST-based Clustering Algorithm Qidong Liu, Ruisheng Zhang, Zhili Zhao, Zhenghai Wang, Mengyao Jiao, and Guangjing Wang Facet Annotation by Extending CNN With a Matching Strategy Bei Wu, Bifan Wei, Jun Liu, Zhaotong Guo, Yuanhao Zheng, and Yihe Chen Distributed Newton Methods for Deep Neural Networks Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan , and Chih-Jen Lin ------------ 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 v.steuber at herts.ac.uk Fri May 25 07:52:46 2018 From: v.steuber at herts.ac.uk (Steuber, Volker) Date: Fri, 25 May 2018 11:52:46 +0000 Subject: Connectionists: Professorship in Computational Neuroscience In-Reply-To: <1496229607391.68206@herts.ac.uk> References: <1496229607391.68206@herts.ac.uk> Message-ID: <1527249156023.61617@herts.ac.uk> Professor of Computational Neuroscience School of Computer Science, College Lane Campus, Hatfield, UK Salary ?58,293 to ?67,437 pa depending on skills and experience FTE: Full time position working 37 hours per week (1.0 FTE). Closing date: 21 June 2018 Duration of Contract: Permanent. Applications are invited for an exceptionally well qualified Professor of Computational Neuroscience of international standing, who shares our commitment to research-informed teaching, embraces the research impact agenda, and values collegiality. Applicants will strengthen existing activity within the School and develop it further, enhancing the research strengths and external reputation of the School of Computer Science and contributing significantly to its performance in future research assessments and collaborations with commercial and public partners. The successful applicant will complement the research conducted by the Biocomputation Research Group within the Centre for Computer Science and Informatics Research. As well as providing research supervision at PhD and MSc level, the School of Computer Science offers modules in neural computing and machine learning on the BSc and MSc programmes. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English, an internationally excellent research record and reputation, including publications of the highest quality suitable for submission to the REF. Applicants must show evidence of experience and success in research/commercial income generation, engagement with the research impact agenda, engagement with key stakeholders in the Computational Neuroscience community, and management and leadership ability.? Interview Date: Week commencing 17 September 2018. The University offers a range of benefits including a pension scheme, professional development, family friendly policies, child care vouchers, a fee waiver of 50% for all children of staff under the age of 21 at the start of the course, discounted memberships at the Hertfordshire Sports Village and generous annual leave. The University is situated in Hatfield, in the green belt just north of London. For informal enquiries contact Dr Volker Steuber (v.steuber at herts.ac.uk, Head of Biocomputation Research Group, Associate Dean Research) or Prof William Clocksin (w.clocksin at herts.ac.uk, Dean of School of Computer Science). -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.aly at em.ci.ritsumei.ac.jp Sat May 26 11:10:25 2018 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Sun, 27 May 2018 00:10:25 +0900 Subject: Connectionists: CFP - Special Issue on Robots and Smart Environments (Extended Deadline) Message-ID: *Cognitive Systems Research (CSR) Journal* CALL FOR PAPERS (Extended Deadline) **Apologies for cross posting ** We are happy to call for papers for the journal special issue: "*Social Cognitive Systems in Smart Environments: Approaches for Learning, Reasoning, and Adaptation*" *Webpage: **https://www.journals.elsevier.com/cognitive-systems-research/call-for-papers/special-issue-social-cognitive-systems-in-smart-environment * *I. Aim and Scope * A ?smart? environment incorporates intelligent systems (e.g., smart home, smart factory, smart city, smart car etc.) employing heterogeneous devices, such as: sensors, actuators, cameras, networks, and screens. Within such a smart environment, autonomous agents can take on an important mediating role between human users and the environment. This is particularly true if high-level cognitive functions and computational intelligence are employed to handle the uncertainty of the complex environment so as to allow agents to act appropriately within different contexts of interaction. Using robotic systems in smart environments opens the door to several socio-cognitive applications, such as: reducing cognitive load for individuals interacting with a smart environment, assisting the elderly and people with cognitive disabilities in mobility and daily tasks (which requires robots to learn the multimodal characteristics of human behavior and to spatially perceive the environment containing other smart objects to decide the best way to employ/manipulate them in order to successfully perform tasks), and developing a cloud-connected robot system to incrementally share knowledge between robots in different smart environments about the behavioral characteristics of human users in order to interact with them adaptively. To meet the requirements of these target applications, robots need to be able to learn how to use the capabilities of their smart environments to better address the needs of the human users. Industrial applications of such technologies include factories of the future and the digital eco-system within an autonomous car. This special issue aims to shed light on cutting edge lines of interdisciplinary research in cognitive science, artificial intelligence, and robotics covering basic research and applications. Recent advances and possible future research avenues on smart robots and environments would be discussed in detail in this journal special issue. *II. Potential Topics* Topics relevant to this special issue include, but are not limited to: - Cyber-physical systems in smart environments - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Internet of things - Ambient assisted living - Infotainment in smart vehicles - Natural user interface design - Cloud robotics - Ubiquitous computing *III. Submission* Submissions to the special issue must include original research that has not been published nor submitted to other journals. Authors should prepare their manuscript according to the "Guide for Authors" available at the journal homepage: http://www.journals.elsevier.c om/cognitive-systems-research/. Papers should be submitted through the EVISE system: https://www.evise.com/evise/jrnl/cogsys. Authors should select "*VSI:Smart Environments"* as the article type during the submission process. *IV. Timline * - Deadline for paper submission: June 30, 2018 - First notification for authors: September 30, 2018 - Deadline for revised papers submission: November 30, 2018 - Final notification for authors: January 31, 2019 - Deadline for submission of camera-ready manuscripts: March 15, 2019 *V. Guest editors* Dr. Amir Aly, Ritsumeikan University, Japan (amir.aly at em.ci.ritsumei.ac.jp) Dr. Shashank Pathak,Visteon Corporation, Germany ( shashank.pathak at visteon.com) Dr. Sean Andrist, Microsoft Research, USA (sandrist at microsoft.com) Prof. Armando Tacchella, University of Genoa, Italy ( armando.tacchella at unige.it) -------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Sun May 27 14:47:24 2018 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Sun, 27 May 2018 14:47:24 -0400 Subject: Connectionists: NEURAL NETWORKS, June 2018 Message-ID: <65715f33-35e1-796a-6f1a-af12a1cd29ef@cse.ohio-state.edu> Neural Networks - Volume 102, June 2018 http://www.journals.elsevier.com/neural-networks A biologically-based computational model of visual cortex that overcomes the X-junction illusion Parvin Zarei Eskikand, Tatiana Kameneva, Michael R. Ibbotson, Anthony N. Burkitt, David B. Grayden Connectivity inference from neural recording data: Challenges, mathematical bases and research directions Ildefons Magrans de Abril, Junichiro Yoshimoto, Kenji Doya Multineuron spike train analysis with R-convolution linear combination kernel Taro Tezuka Neural robust stabilization via event-triggering mechanism and adaptive learning technique Ding Wang, Derong Liu Inter-class sparsity based discriminative least square regression Jie Wen, Yong Xu, Zuoyong Li, Zhongli Ma, Yuanrong Xu Possible world based consistency learning model for clustering and classifying uncertain data Han Liu, Xianchao Zhang, Xiaotong Zhang Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors Uriel Martinez-Hernandez, Abbas A. Dehghani-Sanij Stability analysis for discrete-time stochastic memristive neural networks with both leakage and probabilistic delays Hongjian Liu, Zidong Wang, Bo Shen, Tingwen Huang, Fuad E. Alsaadi Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher Kazushi Ikeda, Arata Honda, Hiroaki Hanzawa, Seiji Miyoshi Towards correlation-based time window selection method for motor imagery BCIs Jiankui Feng, Erwei Yin, Jing Jin, Rami Saab, ... Andrzej Cichocki White noise analysis for the correlation-type elementary motion detectors with half-wave rectifiers Hideaki Ikeda, Toru Aonishi Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller Shuqing Gong, Shaofu Yang, Zhenyuan Guo, Tingwen Huang Generative adversarial network based telecom fraud detection at the receiving bank Yu-Jun Zheng, Xiao-Han Zhou, Wei-Guo Sheng, Yu Xue, Sheng-Yong Chen From schultz at informatik.uni-goettingen.de Mon May 28 10:40:06 2018 From: schultz at informatik.uni-goettingen.de (Anne-Kathrin Schultz) Date: Mon, 28 May 2018 16:40:06 +0200 Subject: Connectionists: =?utf-8?q?4_Professorships_for_Data_Science_=28W3?= =?utf-8?q?=29_and_Artificial_Intelligence/Machine_Learning_=28W3=2C_W2_t?= =?utf-8?q?=2Et=2E_W3=29_at_University_of_G=C3=B6ttingen?= Message-ID: <8de78e95-39f2-12cf-3e20-7c39a4bda97f@informatik.uni-goettingen.de> The Faculty of Mathematics and Computer Science at the Georg-August-University of G?ttingen invites applications for the positions of four professorships at the Institute of Computer Science: - Two positions of full professor (W3) for Data Science (permanent position) - Full professor (W3) for Artificial Intelligence/Machine Learning (permanent position) - Associate professor (W2 t.t. W3) for Artificial Intelligence/Machine Learning (tenure track position) Applications including CV, publications list and details of teaching and research including funded research projects should be submitted by July 6th, 2018 (extension of the application deadline with respect to the announcement of May 15th, 2018). Further information and the application portal can be found here: https://www.uni-goettingen.de/en/587323.html -- Dr. Anne-Kathrin Schultz Universit?t G?ttingen Fakult?t f?r Mathematik und Informatik Institut f?r Informatik Goldschmidtstr. 7 37077 Goettingen Tel: +49 551/39-17-2055 Fax: +49 551/39-14415 -------------- next part -------------- An HTML attachment was scrubbed... URL: From francois.gml at yandex.com Mon May 28 12:09:38 2018 From: francois.gml at yandex.com (Francois Rochette) Date: Mon, 28 May 2018 18:09:38 +0200 Subject: Connectionists: Jobs at GrAi Matter Labs Message-ID: <3564271527523778@iva1-5148b5385b62.qloud-c.yandex.net> An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Tue May 29 01:10:32 2018 From: benoit.frenay at unamur.be (Benoit Frenay) Date: Tue, 29 May 2018 07:10:32 +0200 Subject: Connectionists: CFP - 1st International Workshop on Machine Learning and Software Engineering in Symbiosis Message-ID: LOCATION & CONTACT INFORMATION The 1st International Workshop on Machine Learning and Software Engineering in Symbiosis will be held in Montpellier, France, September 3, 2018. It will be co-located with the 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE). Website: https://mases18.github.io Contact: mases2018 at easychair.org Twitter: #mases18 MOTIVATION Major breakthroughs in Artificial Intelligence (AI) have raised strong interests from research and industry towards Machine Learning (ML), the discipline of AI that aims at building software that automatically learns from data. As a result, ML systems increasingly gain popularity and will soon proliferate in a broad range of domains. However, they also raise many questions, in particular regarding their reliable engineering. Conversely, recent advances in Software Engineering (SE) themselves rely on ML. Several software development activities can thus now benefit from AI-based assistance and we expect many more in the coming years. This workshop aims at bringing together the SE and ML communities to reflect on the potential symbioses between their respective disciplines. As such, it targets innovative ML applications that improve SE practices, as well as new engineering methods for ML-based systems. TOPICS OF INTEREST Topics include, but are not limited to: - Machine learning for software engineering - Applications of machine learning to software analysis, verification and validation, - Naturalness-based code analysis, - Analysis of software repositories, - Human-machine collaboration for engineering software systems, - Performance prediction of software systems, - Natural language processing for requirements extraction. - Engineering methods for machine-learning systems - Automated machine learning, - Scalable infrastructure for machine learning, - Validation and verification of learning systems, - Requirements engineering for machine-learning systems, - Design of safety-critical learning software, - Integration of learning systems in software ecosystems. TYPES OF SUBMISSIONS We invite original papers from 2 to 10 pages in the conference format (two columns IEEE conference publication format, title in 24pt font and full text in 10pt font, LaTeX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf option) describing positions and visions as well as technical contributions and experience reports. Reports on existing research projects (e.g., H2020) and industrial perspectives are also welcome. Each contribution will be reviewed by at least three members of the programme committee. IMPORTANT DATES Submission of full papers: June 15, 2018 Notification of acceptance: July 20, 2018 Camera Ready: July 30, 2018 Workshop date: September 3, 2018 SUBMISSION SITE Submissions will be handled via EasyChair: https://easychair.org/conferences/?conf=mases18 ORGANISATION WORKSHOP CHAIRS Gilles Perrouin, PReCISE, NADI, University of Namur (Belgium) Mathieu Acher, University of Rennes 1 / Inria Rennes (France) Maxime Cordy, PReCISE, NADI, University of Namur ?/ University of Luxembourg (Luxembourg) Xavier Devroey, SERG, Delft University of Technology (The Netherlands) PROGRAMME COMMITTEE Earl Barr, University College London (United Kingdom) Jordi Cabot, Open University of Catalonia (Spain) J?rgen Cito, Massachusetts Institute of Technology (USA) Jesse Davis, Katholieke Universiteit Leuven (Belgium) R?mi Emonet, Laboratoire Hubert Curien (France) Robert Feldt, Blekinge Institute of Technology (Sweden) Beno?t Frenay, University of Namur (Belgium) Elisa Fromont, University of Rennes 1 (France) Patrick Heymans, University of Namur (Belgium) Suman Jana, Columbia University (USA) Marta Kwiatkowska University of Oxford (United Kingdom) Yves Le Traon, University of Luxembourg (Luxembourg) Karl Meinke, KTH Royal Institute of Technology (Sweden) Tim Menzies, NC State University (USA) Tien Nguyen, The University of Texas at Dallas (USA) Fabio Palomba, University of Zurich (Switzerland) Annibale Panichella, Delft University of Technology (The Netherlands) Jean-Francois Raskin, Universit? Libre de Bruxelles (Belgium) Pierre-Yves Schobbens, University of Namur (Belgium) Koushik Sen University of California, Berkley (USA) Alison M. Smith, Decisive Analytics (USA) Paolo Tonella, Fondazione Bruno Kessler (Italy) Zhenchang Xing, Australian National University (Australia) ... and the workshop organisers. Gilles PERROUIN FNRS Research Associate Computer Science Department - PReCISE Namur Digital Institute - NaDI T.+32 (0)81 724 981 gilles.perrouin at unamur.be Universit? de Namur ASBL Rue de Bruxelles 61 - 5000 Namur Belgique Let?s respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: nnpacphgpnjkkebg.png Type: image/png Size: 9356 bytes Desc: not available URL: From iswc2018 at gmail.com Mon May 28 15:13:17 2018 From: iswc2018 at gmail.com (Maribel Acosta) Date: Mon, 28 May 2018 21:13:17 +0200 Subject: Connectionists: [CfP] ISWC 2018 - Upcoming deadlines (P&D, Blue Sky Ideas, Industry) Message-ID: 17th International Semantic Web Conference (ISWC 2018) Monterey, California (USA), October 8-12, 2018 This is an announcement of the ISWC 2018 call for submissions. Upcoming deadline (June 1): Posters & Demos, Blue Sky Ideas Upcoming deadline (June 4): Industry Track Website: http://iswc2018.semanticweb.org Facebook: https://www.facebook.com/groups/InternationalSemanticWebConference Twitter: @iswc2018 (https://twitter.com/iswc2018) Important dates: http://iswc2018.semanticweb.org/important-dates/ In this announcement: 1. Call for Papers: Posters & Demos Track 2. Call for Papers: Blue Sky Ideas 3. Call for Papers: Industry Track 1. Call for Papers: Posters & Demos Track ================================================ The ISWC 2018 Posters and Demonstrations complement the paper tracks of the conference and offer an opportunity for presenting late-breaking research results, on-going research projects, and speculative or innovative work in progress. The informal setting of the Posters and Demonstrations encourages presenters and participants to engage in discussions about the work. Such discussions can be invaluable inputs for the future work of the presenters, while offering participants an effective way to broaden their knowledge of the emerging research trends and to network with other researchers. We invite submissions relevant to the area of the Semantic Web and which address, but are not limited to, the topics of the Research Track; the In-Use Track; and the Resource Track. Technical posters, reports on Semantic Web software systems (free or commercial), descriptions of completed work, and work in progress are all welcome. Demonstrations are intended to showcase innovative Semantic Web related implementations and technologies, both in academia and in industry. Detailed info: http://iswc2018.semanticweb.org/call-for-posters-demos/ Tips for preparing your P&D submissions: http://iswc2018.semanticweb.org/2018/05/16/tips-for-preparing-your-posters-demos-submission/ == Important Dates == Full papers due: June 1, 2018 Notifications: June 22, 2018 Camera-ready due: July 24, 2018 == Program Chairs == * Medha Atre, Indian Institute of Technology Kanpur, India * Marieke van Erp, KNAW Humanities Cluster, the Netherlands 2. Call for Papers: Blue Sky Ideas ========================================== The Blue Sky Ideas is back to ISWC! Similarly, as in 2011, this track is sponsored by the prestigious CCC Blue Sky ideas and solicits visionary ideas, long term challenges, and opportunities in the semantic web research that are outside of the current topics in the field and are not mature or specific enough to be accepted in the regular research track. The contributions should find the right arguments to convince that the proposed topic is promising and should relate the talk as much as possible to the existing literature from relevant fields, possibly also fields outside the Semantic Web Community. Detailed info: http://iswc2018.semanticweb.org/call-for-outrageous-ideas-track-papers/ More about the Blue Sky Ideas at ISWC: http://iswc2018.semanticweb.org/2018/05/22/more-about-the-blue-sky-ideas/ == Important Dates == Full papers due: June 1, 2018 Notifications: June 22, 2018 Camera-ready due: July 20, 2018 == Program Chair == * Carolina Fortuna, JSI, Slovenia 3. Call for Papers: Industry Track ========================================== The industry track seeks to present the state of adoption of semantic technologies in industrial settings. Semantics is used in applications in many industries, including media, financials, telecommunications, healthcare, life sciences, government, intelligence, smart cities, and cultural heritage. It enables applications capabilities as varied as business intelligence, analytics, search, content management, knowledge management, recommendation systems, information extraction and data integration. We encourage results and ideas from companies large and small. We welcome contributions about success stories as well as experience reports and discussions of obstacles that stand in the way of large-scale adoption of semantic technologies. Detailed info: http://iswc2018.semanticweb.org/call-for-industry-track-submissions/ == Important Dates == Full papers due: June 4, 2018 Notifications: June 22, 2018 Camera-ready due: July 20, 2018 == Program Chairs == * Vanessa Lopez, IBM Research, Ireland * Kavitha Srinivas, Rivet Labs, USA All deadlines are midnight Hawaii time. The ISWC Organising Committee http://iswc2018.semanticweb.org/organization/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Tue May 29 10:08:51 2018 From: giacomo.cabri at unimore.it (Giacomo Cabri) Date: Tue, 29 May 2018 16:08:51 +0200 Subject: Connectionists: 13 PhD available positions in ICT at the University of Modena and Reggio Emilia Message-ID: <273d5154-a873-c50d-d52b-24acb1b5090c@unimore.it> Dear Colleagues, We are glad to announce that 13 PhD positions are available within the International Doctorate School in Information and Communication Technologies - ICT (www.ict.unimore.it ) of the University of Modena and Reggio Emilia - UNIMORE (Italy),promoted by the department of Engineering "Enzo Ferrari" (http://www.ingmo.unimore.it/site/en/home.html).The duration of the course is three years. The Call is available athttps://www.unimore.it/didattica/doctorate.html?ID=1050. Of the 13 PhD available positions, 9 are covered by scholarships for a period of three years and 1 is reserved for employees of the Company specified in the Call (industrial doctorate), 3 positions without scholarship. The deadline for application is 07/06/2018 at 13:00 (Italian time, +2GMT). The PhD Course offers the following three curricula: Computer engineering and science; Electronics and telecommunications; Industrial Applications of ICT.?The Industrial Applications of ICT curriculum is inside the Doctoral School in ?E4E (Engineering for Economics ? Economics for Engineering)?. Research Scope and topic of interest are available? atwww.ict.unimore.it/ResearchTopics.asp . Scolarships and Benefits: The annual amount of a study scholarship is ? 15.343,28 (barring subsequent regulatory amendments) and is subject to the I.N.P.S. social security contribution under the separate management fund. Study scholarships are automatically renewed when PhD students continue in the following year, unless a motivated ruling to the contrary is made by the Teaching Committee. Study scholarships will be paid in monthly deferred instalments. For more details, see Article 9 of the Call. Candidates, if in possession of the provided requirements, can apply to Er.GO - Regional Agency for the Right to Higher Education (www.er-go.it ) for the following benefits: - Scholarships granted by abovementioned Regional Agency (financial aid with admission by ranking list); - Accommodation facilities (with free admission, with admission by ranking list, with free admission for non-resident students ?Fuorisede?); - Subsidies for catering service (with assisted admission). For more details, see Article 10 of the Call. If you know good students potentially interested in applying for a position in our PhD programme, could you please forward them these information? Thanks a lot again for your help. Best regards, ICT coordinator (coordinatore_ict at unimore.it) Prof. Sonia Bergamaschi -- |----------------------------------------------------| | 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 |----------------------------------------------------| -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Tue May 29 13:58:01 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Tue, 29 May 2018 17:58:01 +0000 Subject: Connectionists: LVA/ICA 2018, July 2-6: Early registration closing soon (31 May 2018) Message-ID: Dear Connectionists, *** LVA/ICA 2018 Early Registration closing soon: 31 May 2018 *** *** Register at: http://cvssp.org/events/lva-ica-2018/registration/ *** Early registration for the LVA/ICA 2018, the 14th International Conference on Latent Variable Analysis and Signal Separation, will be closing soon, on 31 May 2018. Don't miss out! LVA/ICA 2018 (http://cvssp.org/events/lva-ica-2018/) will be the held at the University of Surrey, Guildford, UK from July 2-6, 2018. The programme features a wide range of oral and poster presentations on topics related to latent variable analysis and source separation, including Matrix and Tensor Factorizations, Deep Learning and Data-driven Methods, ICA Methods, Nonlinear Mixtures, Sparsity-Related Methods, Bayesian Approaches, Audio Data and Methods, and Biomedical Data and Methods. We are looking forward to inspiring keynote talks from Tuomas Virtanen (Laboratory of Signal Processing, Tampere University of Technology, Finland), Orly Alter (Scientific Computing & Imaging Institute/Huntsman Cancer Institute, University of Utah, USA) and Danilo Mandic (Imperial College London, UK). The conference will also feature the results of the SiSEC 2018 Signal Separation Evaluation Campaign. The conference will be preceded by a 1-day Summer School with tutorials by Evrim Acar (Simula Research Laboratory, Lysaker, Norway) on Tensor Factorizations, Data Fusion & Applications, and Richard Turner (Computational & Biological Learning Lab, University of Cambridge, UK) on Bayesian Inference and Deep Learning, and from Russell Mason, Ryan Chungeun Kim and Dominic Ward on Evaluation of Musical Audio Source Separation. For interested delegates, the conference is followed by an Audio Day, featuring talks, posters and demos on audio-related projects. For information on how to register and accommodation options, see http://cvssp.org/events/lva-ica-2018/registration/ Early registration prices are available until 31 May 2018. We look forward to welcoming you to Surrey! Best wishes, Mark Plumbley Co-Chair, LVA/ICA 2018 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk ================================================================================ LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ================================================================================ From ted.carnevale at yale.edu Tue May 29 17:18:10 2018 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Tue, 29 May 2018 17:18:10 -0400 Subject: Connectionists: SenseLab survey Message-ID: The SenseLab project applies neuroinformatics methods to make it easier to discover, understand, and reuse neuroscience models, and to relate those models to experimental data. We invite you to help guide the future development of ModelDB http://modeldb.yale.edu and the other SenseLab databases by taking this short survey: https://yalesurvey.ca1.qualtrics.com/jfe/form/SV_2sZuf5bxk99nTnf (Yale recipients: the survey's original URL is https:// yalesurvey.ca1.qualtrics.com/jfe/form/SV_2sZuf5bxk99nTnf minus the space between // and yalesurvey) The SenseLab Team https://senselab.med.yale.edu/ModelDB/modeldb_credits.cshtml From hendrikje.nienborg at cin.uni-tuebingen.de Wed May 30 02:42:11 2018 From: hendrikje.nienborg at cin.uni-tuebingen.de (Hendrikje Nienborg) Date: Wed, 30 May 2018 08:42:11 +0200 Subject: Connectionists: CCN2018 submission deadline tomorrow (5/31) Message-ID: <3db6ce7c-ea96-cfb1-d243-de2d0f96d010@cin.uni-tuebingen.de> --- please apologize cross-posting --- Cognitive Computational Neuroscience (CCN) is an annual conference designed to foster interaction between cognitive science, computational neuroscience, and artificial intelligence. CCN will take place in Philadelphia this September 6-8, 2018, with tutorials preceding on September 5. More information available at ccneuro.org. We have an exciting list of confirmed speakers: ?*Ryan Adams* (Princeton) ?*Danielle Bassett* (Pennsylvania) ?*?Marlene Cohen*(Pittsburgh) ?*?Anne Collins*(Berkeley) ?*?Sam Gershman*(Harvard) ?*Alison Gopnik* (Berkeley) ?*?John Krakauer*(Johns Hopkins) ?*Tim Lillicrap* (Google DeepMind) ?*Josh McDermott* (MIT) ?*Mala Murthy* (Princeton) ?*Maneesh Sahani* (UCL) ?*Eero Simoncelli* (NYU) ?*Dan Yamins* (Stanford) We will be holding several special events: ?*Mind matching*(computer-assisted one-on-one networking event) ?*Challenges and controversies*(three-way debate between leaders from different disciplines) ?*Cross-collaboration breakouts*(directed small-group discussion to foster crossdisciplinary collaboration) The submission deadline is May 31, 2018. Please consider joining us in Philadelphia and share this announcement with others. Sincerely, The Steering Committee of CCN * *Danielle Bassett* , Skrikanich Assistant Professor of Innovation, Bioengineering, Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA,dsb at seas.upenn.edu * *Alyson ?Allie? Fletcher* , Assistant Professor of Statistics, CS, EE, and Mathematics, University of California, Los Angeles, USA,akfletcher at ucla.edu * *Kendrick Kay* , Assistant Professor, Center for Magnetic Resonance Research, University of Minnesota, Twin Cities, MN, USA,kay at umn.edu * *Konrad Kording* , Professor (PIK), Neuroscience and Bioengineering, University of Pennsylvania,kording at upenn.edu * *Nikolaus Kriegeskorte* , Professor of Psychology and Neuroscience, Affiliated Member of Department of Electrical Engineering, Columbia,n.kriegeskorte at columbia.edu * *Thomas Naselaris* , Assistant Professor, Department of Neurosciences, Medical University of South Carolina, SC, USA,tnaselar at musc.edu * *Hendrikje Nienborg* , Head of Research Group, Werner Reichardt Centre for Integrative Neuroscience, Universitat T?bingen, T?bingen, DE,nienborg at cin.uni-tuebingen.de * *Russ Poldrack* , Professor, Psychology, Stanford University, CA, USA,poldrack at stanford.edu * *Daphna Shohamy* , Associate Professor, Department of Psychology, Columbia University, New York, NY, USA,ds2619 at columbia.edu -- Dr. Hendrikje Nienborg Werner Reichardt Centre for Integrative Neuroscience Universitaet Tuebingen email:hendrikje.nienborg at cin.uni-tuebingen.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From shabnam.kadir at gmail.com Wed May 30 09:35:42 2018 From: shabnam.kadir at gmail.com (Shabnam Kadir) Date: Wed, 30 May 2018 14:35:42 +0100 Subject: Connectionists: PhD studentship in Biocomputation Research Group, Centre for Computer Science and Informatics Research, University of Hertfordshire Message-ID: Applications are invited for a *PhD studentship* on *Computational frameworks for high-dimensional neural data* with *Dr. Shabnam Kadir *in the *Biocomputation Research Group* in the Centre for Computer Science and Informatics Research, University of Hertfordshire, U.K. *Project Description* New developments in experimental technology have led to petabytes of raw data being produced by experimental neuroscientists, which are increasingly publicly available, e.g. Allen Institute data http://www.brain-map.org/. In particular, we are in the realm where population recordings of tens of thousands of neurons are feasible thanks to, e.g. a new generation of large dense probes for electrophysiological recordings, imaging using 2-photon microscopy coupled with calcium fluorescent sensors. Large scale neuronal recordings require novel approaches for both processing and quantitative analysis. As well as using techniques from high-dimensional statistics, machine learning, information theory, we aim to explore new approaches from mathematical fields outside statistics, such as algebraic topology. The study of networks is a particularly important topic in neuroscience: neurons communicate with each other electrically via synapses, forming intricate networks. These networks can be studied using techniques from computational topology (e.g. persistent homology, clique topology). These could be used to extract information about subnetworks and assemblies, both from large scale recordings, and via connectomics derived from simulations (Blue Brain Project). We aim in this project to go beyond spike sorting and develop new tools and computational frameworks which would help interpret high dimensional data and interrogate how information is being processed by the brain, e.g. How are sensory stimuli (location in environment, visual and auditory stimuli) encoded? How can we characterise the neural activity associated with memory, attention, decision making and motor control? We shall be collaborating with labs at Imperial, Pennsylvania State University and UCL. More information can be found here: http://www.herts.ac.uk/_ _data/assets/pdf_file/0003/187455/Dec2017-computational-fram eworks-for-high-dimensional-neural-data.pdf *Requirements * We are looking for candidates with the following profile: - Strong first degree in a quantitative field such as mathematics, physics, computer science, engineering, computational neuroscience. - Strong programming skills (e.g. Python, MATLAB, C++). - Interest in neuroscience and biology would be helpful. A studentship from the PhD Programme in Computer Science provides approximately ?14,750 per annum bursary plus the payment of student fees. Applicants from outside the UK or EU are eligible. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment (2014), with 50% of the research submitted rated as internationally excellent or world-leading. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Please contact *Dr Shabnam Kadir* (s.kadir2 at herts.ac.uk) for informal enquiries. Application forms are available under http://www.herts.ac.uk/a pply/schools-of-study/computer-science/our-research/the-phd- programme-in-computer-science and should be returned to Mrs Lorraine Nicholls and Mrs Emma Thorogood, Research Student Administrators, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, doctoralcollegeadmissions at herts.ac.uk. The short-listing process will begin on 25th June 2018. ---------------------------------------------------------------------------------------------------------------- Dr Shabnam Kadir Senior Lecturer School of Computer Science, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, United Kingdom. Tel. +44 1707 284641 ---------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From muftimahmud at gmail.com Wed May 30 07:52:11 2018 From: muftimahmud at gmail.com (Mufti Mahmud) Date: Wed, 30 May 2018 12:52:11 +0100 Subject: Connectionists: CfP: Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data at the 11th Brain Informatics Conference (BI 2018). Message-ID: [Apologies for cross-posting] *Call for Paper for Special Session on * *Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data* *at the **11th Brain Informatics Conference (BI 2018)* Organized by: Mufti Mahmud?, M Shamim Kaiser?, Ning Zhong?, Nitish V Thakor? *?* *Computing and Technology, Nottingham Trent University, NG11 8NS ? Nottingham, UK* *Email: muftimahmud at gmail.com * ?*Institute of Information Technology, Jahangirnagar University, Savar, 1342 ? Dhaka, Bangladesh* *Email: mskaiser at juniv.edu * ?*Dept. of Life Science and Informatics, Maebashi Institute of Technology, 371-0816 - Maebashi-City, Japan* *Email: zhong at maebashi-it.ac.jp * *?**Singapore Institute for Neurotechnology, National University of Singapore, 117456 ? Singapore; & * *Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, 21205 ? MD, USA* *Email: nthakor at bme.jhu.edu and sinapsedirector at gmail.com * *Introduction:* The brain receives and processes information simultaneously coming from diverse sources. The neurons, being the basic information processing units, interconnect to each other to form hierarchical and/or parallel pathways. Technologies related to neural systems engineering have been employed to study these pathways along with processing and modelling of neuronal data for disease diagnosis and brain decoding purposes. Combining both experimental and computational approaches in recent years, thanks to the advancements in neurotechniques, scientists can access large amount of neuronal data and apply computationally intelligent and nature-inspired machine learning techniques including deep learning and reinforcement learning on those data to suggest next generation experimental design aiming to decipher brain?s information processing capabilities and diagnose its diseases. *Scope:* Developing data-intensive and intelligent tools, as well as sophisticated neurotechniques, to process and analyse the neuronal big data is one of the biggest challenges posed to today?s multidisciplinary brain science community. To share recent progress in decoding neuronal information processing, both in healthy and diseased brain, this special session aims to provide a forum for scientists from diverse disciplines including ? computer, electrical, biomedical, and neuro engineering ? who are looking for more relevant information in interpreting brain functions and diagnosing diseases using expert and computationally intelligent systems. This special session expects to attract papers on recent research progress in the area of intelligent computational tools and techniques in acquiring and processing neuronal big data. The focus areas include, but not limited to, the following: ? Neural systems engineering and technology to study neural pathways; ? Processing and modelling of neuronal data for disease diagnosis and brain decoding; ? Bio-inspired methods for network analysis and pattern recognition in neural data; ? Novel machine learning techniques for neuronal big data analysis; ? Application of deep and reinforcement learning to neuronal big data analysis; ? Computationally intelligent techniques for neuroscience applications; ? Neuroinformatics (including cloud computing and real-time systems); ? Cognitive science applications (learning, workload, decision making, etc.) and data analytics; ? Computational and imaging methods for human brain connectome; and ? Information analysis in human brain machine interface (invasive, noninvasive). *Submission of papers:* Submit Springer Lecture Notes in Computer Science (LNCS) complaint ? 10 page ? pdf paper to the Special Session following the steps below: ? Prepare the paper as per the Springer LNCS template from: http://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines ? Visit https://wi-lab.com/cyberchair/2018/bi18/scripts/ws_submit.php?subarea=S ? Select the link: Special session on Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data ? Select the link Submit a New Paper (TYPE I Submission) ? Provide paper details (i.e., Author(s), Paper Title, Abstract, Keywords, PDF file to upload). *Important dates:* ? Paper submission deadline: *30 July 2018* ? Decision notification: *30 August 2018* ? Special Session date: *7 December 2018* ? Conference dates: *8-9 December 2018*. -- *Mufti Mahmud, PhD* | (Senior) Lecturer of Computing & Technology | School of Science & Technology Office: ERD200 | Nottingham Trent University | Clifton Campus | NG11 8NS ? Nottingham, UK Phone: +44 (0)115 84 83202 | Email: mufti.mahmud at ntu.ac.uk Meeting requests: https://doodle.com/mufti http://orcid.org/0000-0002-2037-8348 https://sites.google.com/site/muftimahmud/ https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en Senior Member, IEEE & ACM Associate Editor, IEEE Access Editorial Board Member, Cognitive Computation & Big Data Analytics -------------- next part -------------- An HTML attachment was scrubbed... URL: From paul.cisek at umontreal.ca Wed May 30 13:16:32 2018 From: paul.cisek at umontreal.ca (Paul Cisek) Date: Wed, 30 May 2018 13:16:32 -0400 Subject: Connectionists: Faculty position in systems neuroscience, U of Montreal Message-ID: <011e01d3f839$f4b87530$de295f90$@umontreal.ca> Professor in Systems/Computational Neuroscience Faculty of medicine / Department of neurosciences Mandate description The D?partement de neurosciences at the Universit? de Montr?al invites applications for a faculty position at the assistant or associate level, in Systems/Computational Neuroscience. We are seeking candidates who use experimental and/or computational approaches to study how large-scale distributed brain networks implement behavioural-level phenomena such as sensorimotor control and decision-making, with a particular emphasis on system-level learning mechanisms. Ideal candidates will either combine multi-electrode, multi-area neurophysiological studies in behaving animals (in particular non-human primates) with sophisticated computational modeling of brain function, or alternatively, will use predominantly computational approaches to study how biologically realistic large-scale and recurrent network models simulate behavioral-level phenomena. The D?partement de neurosciences offers state of the art laboratory space and animal facilities for rodent and non-human primates research. Montr?al is a rich academic environment, with 4 major universities and a strong tradition of systems neuroscience. The candidates will have outstanding opportunities for collaborations with other systems neuroscientists at the Universit? de Montr?al, McGill University, Concordia University and the Universit? du Qu?bec ? Montr?al, as well as with leading experts in artificial intelligence, machine learning and deep-learning networks who are centered in the MILA/IVADO at the Universit? de Montr?al. Responsibilities - The appointed candidate will be expected to maintain an active research program, supervise graduate students, have international collaborations, contribute to the academic life of the Department of Neurosciences, and teach undergraduate and graduate courses. - The candidate will collaborate closely with researchers working in three affiliated research centers at University of Montreal: CHU-Ste Justine (Pediatric Hospital), Centre Hospitalier Universitaire de Montr?al, H?pital du Sacr?-Coeur de Montr?al. - The teaching language is French; consequently, non-French-speaking candidates should become able to teach in French no longer than three years after their appointment. Requirements - The candidate needs to hold a PhD in neurosciences (or equivalent) and demonstrate significant experience at the post-doctoral level in the field of computational neurosciences. - The candidate needs to show exceptional track record in the field, including in sensorimotor control, decision making, neurophysiological studies in living animal, and computational approaches in order to study how neural network are modeling behavior. - The candidate needs to hold teaching experience at graduate and undergraduate levels, as well as experience in supervising post-doctoral fellowships, research assistants, and highly qualified research personal. - We will prioritize candidates with exceptional research productivity with a publication of articles in the best journals in the field, as well as a strong track record of research funding from national and international research agencies. - The ability and interest of the candidate to work in a multidisciplinary team (biochemists, biologists, engineers, bio informaticians, and clinicians) is mandatory. - Have sufficient knowledge of the French language (written and spoken) or be determined to learn it *. General information Posting No: MED 4-18 / 4 Posting period: June 15th, 2018 Salary: The University of Montreal offers a competitive salary and a complete range of employee benefits Start date: Autumn 2018. The announcement will remain open until the selection committee finds an acceptable candidacy. Application procedure Interested candidates should send their curriculum vitae, a letter explaining their motivation, research interest and competence in their area of expertise, and three letters of support, no later than June 15th 2018; at the following address (email correspondence is preferred): Dr Patrick Cossette, directeur D?partement de neurosciences Facult? de m?decine Universit? de Montr?al C.P. 6128, succursale Centre-ville Montr?al (Qu?bec) H3C 3J7 E-mail : nancy.crete at umontreal.ca *Linguistic Policy The Universit? de Montr?al is a Qu?bec University with an international reputation. French is the language of instruction. To renew its teaching faculty, the University is intensively recruiting the world?s best specialists. In accordance with the institution?s language policy, the Universit? de Montr?al provides support for newly-recruited faculty to attain proficiency in French. Confidentiality The Universit? de Montr?al application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview. Equal Access Employment Program Universit? de Montr?al promotes diversity in its workforce and encourages members of visible and ethnic minorities as well as women, Aboriginal people, persons with disabilities and people of all sexual orientations and gender identities to apply. Immigration Requirements We invite all qualified candidates to apply at Universit? de Montr?al. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wduch at is.umk.pl Thu May 31 06:24:01 2018 From: wduch at is.umk.pl (Wlodzislaw Duch) Date: Thu, 31 May 2018 12:24:01 +0200 Subject: Connectionists: Seaching for a postdock in Computational Neuroscience/Neuroinformatics Message-ID: <00a301d3f8c9$7eaedba0$7c0c92e0$@is.umk.pl> Dear Connectionists, The NeuroCognitive Laboratory at the Center for Modern Interdisciplinary Technologies, Nicolaus Copernicus University , Poland, invites applications for a postdoctoral position in Computational Neuroscience/Neuroinformatics, project: "In the quest of sources of brain cognitive activity". The goal of the project is to develop, implement and investigate new techniques of multimodal brain imaging data analysis, including fMRI, EEG/MEG data from humans, and develop new neurofeedback applications. The method will be tested on data from experiments performed within our consortium involving the Neurocognitive Lab (PI prof. W. Duch), Faculty of Physics, Astronomy and Informatics (prof. A. Cichocki, coordinator of the whole consortium), Nencki Institute of Experimental Biology(PI prof. E. Kublik) and The Institute of Physiology and Pathology of Hearing (PI prof H. Skar?y?ski, dr T. Wolak). The ideal candidate should have a strong computational background, experience in computational neuroscience or brain imaging, analysis of EEG or fMRI data. If you have a solid background in computational neuroscience, physics, maths, computer science, engineering, and want to revolutionize brain research and apply it to heal brains you should consider joining our group. Funding is available for 2-3 years. The gross yearly salary depends on employment time and experience. Cost of living in Toru? are relatively low (comparison is here ). To apply or inquire send email to wduch at is.umk.pl. Applications should include a CV, statement of research interests, and the names and full contact details of one to three referees. The deadline for application is June 19, 2018. We will continue recruitment until the position is filled. More information is on the official university recruitment page: https://www.umk.pl/en/employment/?class=Offer&Lang=en&Id=3388 Prof. W?odzis?aw Duch Neurocognitive Laboratory, Center for Modern Interdisciplinary Technologies, Nicolaus Copernicus University Google: W. Duch -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.v.stone at sheffield.ac.uk Thu May 31 07:39:38 2018 From: j.v.stone at sheffield.ac.uk (James V Stone) Date: Thu, 31 May 2018 12:39:38 +0100 Subject: Connectionists: New book: Neural Information Theory Message-ID: <90032377-53dc-698e-c614-38b956e764cb@sheffield.ac.uk> I'd like to announce the publication of this book: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency by James V Stone. Reviews, synopsis, and table of contents can be found here: http://sebtelpress.com regards, James V Stone, University of Sheffield, UK. From smart at neuralcorrelate.com Thu May 31 12:49:04 2018 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Thu, 31 May 2018 12:49:04 -0400 Subject: Connectionists: 2nd Call for Illusion Submissions: 14th Best Illusion of the Year Contest In-Reply-To: <018201d3f8ff$108336e0$3189a4a0$@neuralcorrelate.com> References: <00a101d3f8f4$bf952e50$3ebf8af0$@neuralcorrelate.com> <018201d3f8ff$108336e0$3189a4a0$@neuralcorrelate.com> Message-ID: <01a901d3f8ff$4c2a35e0$e47ea1a0$@neuralcorrelate.com> ****2ND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 14TH ANNUAL BEST ILLUSION OF THE YEARSM CONTEST**** http://illusionoftheyear.com We are happy to announce the 14th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube videos featuring novel illusions (unpublished, or published no earlier than 2017) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * -A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * -A video of yourself describing your illusion * -A video animation/enactment of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * -Significance to our understanding of the human mind and brain * -Simplicity of the description * -Sheer beauty * -Counterintuitive quality * -Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion, and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2018 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until June 25, 2018. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: